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Ricciuti B, Lamberti G, Puchala SR, Mahadevan NR, Lin JR, Alessi JV, Chowdhury A, Li YY, Wang X, Spurr L, Pecci F, Di Federico A, Venkatraman D, Barrichello AP, Gandhi M, Vaz VR, Pangilinan AJ, Haradon D, Lee E, Gupta H, Pfaff KL, Welsh EL, Nishino M, Cherniack AD, Johnson BE, Weirather JL, Dryg ID, Rodig SJ, Sholl LM, Sorger P, Santagata S, Umeton R, Awad MM. Genomic and Immunophenotypic Landscape of Acquired Resistance to PD-(L)1 Blockade in Non-Small-Cell Lung Cancer. J Clin Oncol 2024; 42:1311-1321. [PMID: 38207230 DOI: 10.1200/jco.23.00580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 08/27/2023] [Accepted: 10/24/2023] [Indexed: 01/13/2024] Open
Abstract
PURPOSE Although immune checkpoint inhibitors (ICI) have extended survival in patients with non-small-cell lung cancer (NSCLC), acquired resistance (AR) to ICI frequently develops after an initial benefit. However, the mechanisms of AR to ICI in NSCLC are largely unknown. METHODS Comprehensive tumor genomic profiling, machine learning-based assessment of tumor-infiltrating lymphocytes, multiplexed immunofluorescence, and/or HLA-I immunohistochemistry (IHC) were performed on matched pre- and post-ICI tumor biopsies from patients with NSCLC treated with ICI at the Dana-Farber Cancer Institute who developed AR to ICI. Two additional cohorts of patients with intervening chemotherapy or targeted therapies between biopsies were included as controls. RESULTS We performed comprehensive genomic profiling and immunophenotypic characterization on samples from 82 patients with NSCLC and matched pre- and post-ICI biopsies and compared findings with a control cohort of patients with non-ICI intervening therapies between biopsies (chemotherapy, N = 32; targeted therapies, N = 89; both, N = 17). Putative resistance mutations were identified in 27.8% of immunotherapy-treated cases and included acquired loss-of-function mutations in STK11, B2M, APC, MTOR, KEAP1, and JAK1/2; these acquired alterations were not observed in the control groups. Immunophenotyping of matched pre- and post-ICI samples demonstrated significant decreases in intratumoral lymphocytes, CD3e+ and CD8a+ T cells, and PD-L1-PD1 engagement, as well as increased distance between tumor cells and CD8+PD-1+ T cells. There was a significant decrease in HLA class I expression in the immunotherapy cohort at the time of AR compared with the chemotherapy (P = .005) and the targeted therapy (P = .01) cohorts. CONCLUSION These findings highlight the genomic and immunophenotypic heterogeneity of ICI resistance in NSCLC, which will need to be considered when developing novel therapeutic strategies aimed at overcoming resistance.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Sreekar R Puchala
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | | | - Jia-Ren Lin
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA
| | - Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Alexander Chowdhury
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Yvonne Y Li
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Xinan Wang
- Harvard School of Public Health, Boston, MA
| | - Liam Spurr
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Deepti Venkatraman
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Malini Gandhi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Victor R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Andy J Pangilinan
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Danielle Haradon
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Elinton Lee
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Hersh Gupta
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Kathleen L Pfaff
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Emma L Welsh
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Andrew D Cherniack
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA
| | - Bruce E Johnson
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Jason L Weirather
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Ian D Dryg
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Scott J Rodig
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Peter Sorger
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA
| | - Sandro Santagata
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA
| | - Renato Umeton
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
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2
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Pecci F, Nakazawa S, Ricciuti B, Harada G, Lee JK, Alessi JV, Barrichello A, Vaz VR, Lamberti G, Di Federico A, Gandhi MM, Gazgalis D, Feng WW, Jiang J, Baldacci S, Locquet MA, Gottlieb FH, Chen MF, Lee E, Haradon D, Smokovich A, Voligny E, Nguyen T, Goel VK, Zimmerman Z, Atwal S, Wang X, Bahcall M, Heist RS, Iqbal S, Gandhi N, Elliott A, Vanderwalde AM, Ma PC, Halmos B, Liu SV, Che J, Schrock AB, Drilon A, Janne PA, Awad MM. Activating point mutations in the MET kinase domain represent a unique molecular subset of lung cancer and other malignancies targetable with MET inhibitors. Cancer Discov 2024:742838. [PMID: 38564707 DOI: 10.1158/2159-8290.cd-23-1217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/23/2024] [Accepted: 04/01/2024] [Indexed: 04/04/2024]
Abstract
Activating point mutations in the MET tyrosine kinase domain (TKD) are oncogenic in a subset of papillary renal cell carcinomas (PRCC). Here, using comprehensive genomic profiling among >600,000 patients, we identify activating MET TKD point mutations as putative oncogenic driver across diverse cancers, with a frequency of ~0.5%. The most common mutations in the MET TKD defined as oncogenic or likely oncogenic according to OncoKB resulted in amino acid substitutions at positions H1094, L1195, F1200, D1228, Y1230, M1250, and others. Preclinical modeling of these alterations confirmed their oncogenic potential, and also demonstrated differential patterns of sensitivity to type I and type II MET inhibitors. Two patients with metastatic lung adenocarcinoma harboring MET TKD mutations (H1094Y, F1200I) and no other known oncogenic drivers achieved confirmed partial responses to a type I MET inhibitor. Activating MET TKD mutations occur in multiple malignancies and may confer clinical sensitivity to currently available MET inhibitors.
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Affiliation(s)
- Federica Pecci
- Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, United States
| | - Seshiru Nakazawa
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | - Biagio Ricciuti
- Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, United States
| | - Guilherme Harada
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | - Joao V Alessi
- Dana-Farber Cancer Institute, Boston, MA, United States
| | | | - Victor R Vaz
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | | | | | - Malini M Gandhi
- Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, United States
| | | | - William W Feng
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | - Jie Jiang
- Dana-Farber Cancer Institute, Boston, MA, United States
| | - Simon Baldacci
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | | | - Felix H Gottlieb
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | - Monica F Chen
- Memorial Sloan Kettering Cancer Center, New York, New York, United States
| | - Elinton Lee
- Dana-Farber Cancer Institute, Boston, MA, United States
| | | | - Anna Smokovich
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | - Emma Voligny
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | - Tom Nguyen
- Dana-Farber Cancer Institute, Boston, MA, United States
| | - Vikas K Goel
- Turning Point Therapeutics, San Diego, California, United States
| | - Zachary Zimmerman
- Turning Point Therapeutics, a wholly owned subsidiary of Bristol Myers Squibb Company, San Diego, CA, United States
| | - Sumandeep Atwal
- Turning Point Therapeutics, a wholly owned subsidiary of Bristol Myers Squibb Company, San Diego, CA, United States
| | - Xinan Wang
- Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Magda Bahcall
- Dana-Farber Cancer Institute, Boston, MA, United States
| | | | | | - Nishant Gandhi
- Caris Life Sciences (United States), Phoenix, AZ, United States
| | - Andrew Elliott
- Caris Life Sciences (United States), Phoenix, AZ, United States
| | | | - Patrick C Ma
- Penn State Milton S. Hershey Medical Center, Hershey, PA, United States
| | | | - Stephen V Liu
- Georgetown University, Washington, DC, United States
| | - Jianwei Che
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | | | - Alexander Drilon
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Pasi A Janne
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
| | - Mark M Awad
- Dana-Farber Cancer Institute, Boston, Massachusetts, United States
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3
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Besse B, Pons-Tostivint E, Park K, Hartl S, Forde PM, Hochmair MJ, Awad MM, Thomas M, Goss G, Wheatley-Price P, Shepherd FA, Florescu M, Cheema P, Chu QSC, Kim SW, Morgensztern D, Johnson ML, Cousin S, Kim DW, Moskovitz MT, Vicente D, Aronson B, Hobson R, Ambrose HJ, Khosla S, Reddy A, Russell DL, Keddar MR, Conway JP, Barrett JC, Dean E, Kumar R, Dressman M, Jewsbury PJ, Iyer S, Barry ST, Cosaert J, Heymach JV. Biomarker-directed targeted therapy plus durvalumab in advanced non-small-cell lung cancer: a phase 2 umbrella trial. Nat Med 2024; 30:716-729. [PMID: 38351187 PMCID: PMC10957481 DOI: 10.1038/s41591-024-02808-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 01/09/2024] [Indexed: 03/23/2024]
Abstract
For patients with non-small-cell lung cancer (NSCLC) tumors without currently targetable molecular alterations, standard-of-care treatment is immunotherapy with anti-PD-(L)1 checkpoint inhibitors, alone or with platinum-doublet therapy. However, not all patients derive durable benefit and resistance to immune checkpoint blockade is common. Understanding mechanisms of resistance-which can include defects in DNA damage response and repair pathways, alterations or functional mutations in STK11/LKB1, alterations in antigen-presentation pathways, and immunosuppressive cellular subsets within the tumor microenvironment-and developing effective therapies to overcome them, remains an unmet need. Here the phase 2 umbrella HUDSON study evaluated rational combination regimens for advanced NSCLC following failure of anti-PD-(L)1-containing immunotherapy and platinum-doublet therapy. A total of 268 patients received durvalumab (anti-PD-L1 monoclonal antibody)-ceralasertib (ATR kinase inhibitor), durvalumab-olaparib (PARP inhibitor), durvalumab-danvatirsen (STAT3 antisense oligonucleotide) or durvalumab-oleclumab (anti-CD73 monoclonal antibody). Greatest clinical benefit was observed with durvalumab-ceralasertib; objective response rate (primary outcome) was 13.9% (11/79) versus 2.6% (5/189) with other regimens, pooled, median progression-free survival (secondary outcome) was 5.8 (80% confidence interval 4.6-7.4) versus 2.7 (1.8-2.8) months, and median overall survival (secondary outcome) was 17.4 (14.1-20.3) versus 9.4 (7.5-10.6) months. Benefit with durvalumab-ceralasertib was consistent across known immunotherapy-refractory subgroups. In ATM-altered patients hypothesized to harbor vulnerability to ATR inhibition, objective response rate was 26.1% (6/23) and median progression-free survival/median overall survival were 8.4/22.8 months. Durvalumab-ceralasertib safety/tolerability profile was manageable. Biomarker analyses suggested that anti-PD-L1/ATR inhibition induced immune changes that reinvigorated antitumor immunity. Durvalumab-ceralasertib is under further investigation in immunotherapy-refractory NSCLC.ClinicalTrials.gov identifier: NCT03334617.
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Affiliation(s)
- Benjamin Besse
- Institut Gustave Roussy, Paris-Saclay University, Villejuif, France
| | - Elvire Pons-Tostivint
- Medical Oncology, Centre Hospitalier Universitaire Nantes, Nantes University, Nantes, France
| | - Keunchil Park
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- MD Anderson Cancer Center, Houston, TX, USA
| | - Sylvia Hartl
- Ludwig Boltzmann Institute for Lung Health, Clinic Penzing, Vienna, Austria
- Sigmund Freud University, Vienna, Austria
| | - Patrick M Forde
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Maximilian J Hochmair
- Department of Respiratory and Critical Care Medicine, Karl Landsteiner Institute of Lung Research and Pulmonary Oncology, Klinik Floridsdorf, Vienna, Austria
| | - Mark M Awad
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michael Thomas
- Department of Thoracic Oncology, Thoraxklinik, Heidelberg University Hospital and National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Hospital, Germany; Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Glenwood Goss
- The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Paul Wheatley-Price
- The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Frances A Shepherd
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Marie Florescu
- Division of Hematology Oncology, Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
| | - Parneet Cheema
- William Osler Health System, University of Toronto, Toronto, Ontario, Canada
| | | | - Sang-We Kim
- Department of Oncology, Asan Medical Center, Seoul, Republic of Korea
| | - Daniel Morgensztern
- Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Melissa L Johnson
- Sarah Cannon Research Institute, Tennessee Oncology, Nashville, TN, USA
| | - Sophie Cousin
- Department of Medical Oncology, Institut Bergonié, Regional Comprehensive Cancer Center, Bordeaux, France
| | - Dong-Wan Kim
- Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Republic of Korea
| | - Mor T Moskovitz
- Institute of Oncology, Rambam Medical Center, Haifa, Israel
- Thoracic Cancer Service, Rabin Medical Center Davidoff Cancer Centre, Beilinson Campus, Petah Tikva, Israel
| | - David Vicente
- Department of Medical Oncology, Hospital Universitario Virgen Macarena, Seville, Spain
| | - Boaz Aronson
- Oncology Early Global Development, AstraZeneca, Gaithersburg, MD, USA
| | | | - Helen J Ambrose
- Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, UK
| | - Sajan Khosla
- Real-World Evidence, Oncology R&D, AstraZeneca, Cambridge, UK
| | - Avinash Reddy
- Oncology Data Science, Oncology R&D, AstraZeneca, Boston, MA, USA
| | - Deanna L Russell
- Translational Medicine, Oncology R&D, AstraZeneca, Boston, MA, USA
| | - Mohamed Reda Keddar
- Oncology Data Science, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, UK
| | - James P Conway
- Oncology Data Science, Oncology R&D, AstraZeneca, Gaithersburg, MD, USA
| | - J Carl Barrett
- Translational Medicine, Oncology R&D, AstraZeneca, Boston, MA, USA
| | - Emma Dean
- Oncology R&D, AstraZeneca, Cambridge, UK
| | - Rakesh Kumar
- Oncology R&D, AstraZeneca, Gaithersburg, MD, USA
| | | | | | - Sonia Iyer
- Translational Medicine, Oncology R&D, AstraZeneca, Boston, MA, USA
| | | | | | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX, USA.
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4
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Naqash AR, Floudas CS, Aber E, Maoz A, Nassar AH, Adib E, Choucair K, Xiu J, Baca Y, Ricciuti B, Alessi JV, Awad MM, Kim C, Judd J, Raez LE, Lopes G, Nieva JJ, Borghaei H, Takebe N, Ma PC, Halmos B, Kwiatkowski DJ, Liu SV, Mamdani H. Influence of TP53 Comutation on the Tumor Immune Microenvironment and Clinical Outcomes With Immune Checkpoint Inhibitors in STK11-Mutant Non-Small-Cell Lung Cancer. JCO Precis Oncol 2024; 8:e2300371. [PMID: 38330261 PMCID: PMC10860998 DOI: 10.1200/po.23.00371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 11/05/2023] [Accepted: 01/02/2024] [Indexed: 02/10/2024] Open
Abstract
PURPOSE Non-small-cell lung cancer (NSCLC) with STK11mut has inferior outcomes to immune checkpoint inhibitors (ICIs). Using multiomics, we evaluated whether a subtype of STK11mut NSCLC with a uniquely inflamed tumor immune microenvironment (TIME) harboring TP53 comutations could have favorable outcomes to ICIs. PATIENTS AND METHODS NSCLC tumors (N = 16,896) were analyzed by next-generation sequencing (DNA-Seq/592 genes). A subset (n = 5,034) underwent gene expression profiling (RNA-Seq/whole transcriptome). Exome-level neoantigen load for STK11mut NSCLC was obtained from published pan-immune analysis. Tumor immune cell content was obtained from transcriptome profiles using the microenvironment cell population (MCP) counter. ICI data from POPLAR/OAK (n = 34) and the study by Rizvi et al (n = 49) were used to model progression-free survival (PFS), and a separate ICI-treated cohort (n = 53) from Dana-Farber Cancer Institute (DFCI) was used to assess time to treatment failure (TTF) and tumor RECIST response for STK11mutTP53mut versus STK11mutTP53wt NSCLC. RESULTS Overall, 12.6% of NSCLC tumors had a STK11mut with the proportions of tumor mutational burden (TMB)-high (≥10 mut/Mb), PD-L1 ≥50%, and microsatellite instability-high being 38.3%, 11.8%, and 0.72%, respectively. Unsupervised hierarchical clustering of STK11mut (n = 463) for stimulator of interferon-gamma (STING) pathway genes identified a STING-high cluster, which was significantly enriched in TP53mut NSCLC (P < .01). Compared with STK11mutTP53wt, tumors with STK11mutTP53mut had higher CD8+T cells and natural killer cells (P < .01), higher TMB (P < .001) and neoantigen load (P < .001), and increased expression of MYC and HIF-1A (P < .01), along with higher expression (P < .01) of glycolysis/glutamine metabolism genes. Meta-analysis of data from OAK/POPLAR and the study by Rizvi et al showed a trend toward improved PFS in patients with STK11mutTP53mut. In the DFCI cohort, compared with the STK11mut TP53wt cohort, the STK11mutTP53mut tumors had higher objective response rates (42.9% v 16.7%; P = .04) and also had longer TTF (14.5 v 4.5 months, P adj = .054) with ICI. CONCLUSION STK11mut NSCLC with TP53 comutation is a distinct subgroup with an immunologically active TIME and metabolic reprogramming. These properties should be exploited to guide patient selection for novel ICI-based combination approaches.
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Affiliation(s)
- Abdul Rafeh Naqash
- Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | | | - Etan Aber
- Center for Immuno-Oncology, National Cancer Institute, NIH, Bethesda, MD
| | - Asaf Maoz
- Dana Farber Cancer Institute, Boston, MA
| | - Amin H. Nassar
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT
| | - Elio Adib
- Dana Farber Cancer Institute, Boston, MA
| | - Khalil Choucair
- Department of Oncology, Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI
| | | | | | | | | | | | - Chul Kim
- Department of Hematology and Oncology, Georgetown University, Washington, DC
| | - Julia Judd
- Fox Chase Cancer Center, Philadelphia, PA
| | - Luis E. Raez
- Memorial Cancer Institute//Florida Atlantic University (FAU), Miami, FL
| | - Gilberto Lopes
- University of Miami Miller School of Medicine, Miami, FL
| | | | | | - Naoko Takebe
- Developmental Therapeutics Clinic, National Cancer Institute, Bethesda, MD
| | - Patrick C. Ma
- Department of Hematology/ Oncology, Penn State Cancer Institute, Hershey, PA
| | - Balazs Halmos
- Medical Oncology, Albert Einstein College of Medicine, NY
| | | | - Stephen V. Liu
- Department of Hematology and Oncology, Georgetown University, Washington, DC
| | - Hirva Mamdani
- Department of Oncology, Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI
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5
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Kerepesi C, Abushukair HM, Ricciuti B, Nassar AH, Adib E, Alessi JV, Pecci F, Rakaee M, Fadlullah MZH, Tőkés AM, Rodig SJ, Awad MM, Tan AC, Bakacs T, Naqash AR. Association of Baseline Tumor-Specific Neoantigens and CD8 + T-Cell Infiltration With Immune-Related Adverse Events Secondary to Immune Checkpoint Inhibitors. JCO Precis Oncol 2024; 8:e2300439. [PMID: 38330262 DOI: 10.1200/po.23.00439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 10/12/2023] [Accepted: 11/01/2023] [Indexed: 02/10/2024] Open
Abstract
PURPOSE Recent evidence has shown that higher tumor mutational burden strongly correlates with an increased risk of immune-related adverse events (irAEs). By using an integrated multiomics approach, we further studied the association between relevant tumor immune microenvironment (TIME) features and irAEs. METHODS Leveraging the US Food and Drug Administration Adverse Event Reporting System, we extracted cases of suspected irAEs to calculate the reporting odds ratios (RORs) of irAEs for cancers treated with immune checkpoint inhibitors (ICIs). TIME features for 32 cancer types were calculated on the basis of the cancer genomic atlas cohorts and indirectly correlated with each cancer's ROR for irAEs. A separate ICI-treated cohort of non-small-cell lung cancer (NSCLC) was used to evaluate the correlation between tissue-based immune markers (CD8+, PD-1/L1+, FOXP3+, tumor-infiltrating lymphocytes [TILs]) and irAE occurrence. RESULTS The analysis of 32 cancers and 33 TIME features demonstrated a significant association between irAE RORs and the median number of base insertions and deletions (INDEL), neoantigens (r = 0.72), single-nucleotide variant neoantigens (r = 0.67), and CD8+ T-cell fraction (r = 0.51). A bivariate model using the median number of INDEL neoantigens and CD8 T-cell fraction had the highest accuracy in predicting RORs (adjusted r2 = 0.52, P = .002). Immunoprofile assessment of 156 patients with NSCLC revealed a strong trend for higher baseline median CD8+ T cells within patients' tumors who experienced any grade irAEs. Using machine learning, an expanded ICI-treated NSCLC cohort (n = 378) further showed a treatment duration-independent association of an increased proportion of high TIL (>median) in patients with irAEs (59.7% v 44%, P = .005). This was confirmed by using the Fine-Gray competing risk approach, demonstrating higher baseline TIL density (>median) associated with a higher cumulative incidence of irAEs (P = .028). CONCLUSION Our findings highlight a potential role for TIME features, specifically INDEL neoantigens and baseline-immune infiltration, in enabling optimal irAE risk stratification of patients.
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Affiliation(s)
- Csaba Kerepesi
- Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN), Budapest, Hungary
| | | | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | | | - Elio Adib
- Brigham and Women's Hospital, Boston, MA
| | - Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Mehrdad Rakaee
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | - Anna-Mária Tőkés
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary
| | - Scott J Rodig
- ImmunoProfile, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Aik Choon Tan
- Departments of Oncological Sciences and Biomedical Informatics, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Tibor Bakacs
- Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN), Budapest, Hungary
| | - Abdul Rafeh Naqash
- Department of Probability, Alfred Renyi Institute of Mathematics, The Eötvös Loránd Research Network, Budapest, Hungary
- Medical Oncology/TSET Phase 1 Program, Stephenson Cancer Center @The University of Oklahoma, Oklahoma City, OK
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6
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Elkrief A, Ricciuti B, Alessi JV, Fei T, Kalvin HL, Egger JV, Rizvi H, Thummalapalli R, Lamberti G, Plodkowski A, Hellmann MD, Kris MG, Arcila ME, Baine MK, Rudin CM, Lito P, Ladanyi M, Schoenfeld AJ, Riely GJ, Awad MM, Arbour KC. Outcomes of Combination Platinum-Doublet Chemotherapy and Anti-PD(L)-1 Blockade in KRASG12C-Mutant Non-Small Cell Lung Cancer. Oncologist 2023; 28:978-985. [PMID: 37589215 PMCID: PMC10628591 DOI: 10.1093/oncolo/oyad197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/01/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND Direct KRASG12C inhibitors are approved for patients with non-small cell lung cancers (NSCLC) in the second-line setting. The standard-of-care for initial treatment remains immune checkpoint inhibitors, commonly in combination with platinum-doublet chemotherapy (chemo-immunotherapy). Outcomes to chemo-immunotherapy in this subgroup have not been well described. Our goal was to define the clinical outcomes to chemo-immunotherapy in patients with NSCLC with KRASG12C mutations. PATIENTS AND METHODS Through next-generation sequencing, we identified patients with advanced NSCLC with KRAS mutations treated with chemo-immunotherapy at 2 institutions. The primary objective was to determine outcomes and determinants of response to first-line chemo-immunotherapy among patients with KRASG12C by evaluating objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). We assessed the impact of coalterations in STK11/KEAP1 on outcomes. As an exploratory objective, we compared the outcomes to chemo-immunotherapy in KRASG12C versus non-G12C groups. RESULTS One hundred and thirty eight patients with KRASG12C treated with first-line chemo-immunotherapy were included. ORR was 41% (95% confidence interval (CI), 32-41), median PFS was 6.8 months (95%CI, 5.5-10), and median OS was 15 months (95%CI, 11-28). In a multivariable model for PFS, older age (P = .042), squamous cell histology (P = .008), poor ECOG performance status (PS) (P < .001), and comutations in KEAP1 and STK11 (KEAP1MUT/STK11MUT) (P = .015) were associated with worse PFS. In a multivariable model for OS, poor ECOG PS (P = .004) and KEAP1MUT/STK11MUT (P = .009) were associated with worse OS. Patients with KRASG12C (N = 138) experienced similar outcomes to chemo-immunotherapy compared to patients with non-KRASG12C (N = 185) for both PFS (P = .2) and OS (P = .053). CONCLUSIONS We define the outcomes to first-line chemo-immunotherapy in patients with KRASG12C, which provides a real-world benchmark for clinical trial design involving patients with KRASG12C mutations. Outcomes are poor in patients with specific molecular coalterations, highlighting the need to develop more effective frontline therapies.
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Affiliation(s)
- Arielle Elkrief
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Teng Fei
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hannah L Kalvin
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jacklynn V Egger
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hira Rizvi
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rohit Thummalapalli
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Andrew Plodkowski
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew D Hellmann
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Mark G Kris
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Maria E Arcila
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marina K Baine
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charles M Rudin
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Piro Lito
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Marc Ladanyi
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Adam J Schoenfeld
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Gregory J Riely
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kathryn C Arbour
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
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7
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Wolf J, Souquet PJ, Goto K, Cortot A, Baik C, Heist R, Kim TM, Han JY, Neal JW, Mansfield AS, Gilloteau I, Nwana N, Waldron-Lynch M, Davis KL, Giovannini M, Awad MM. Improved Survival Outcomes in Patients With MET-Dysregulated Advanced NSCLC Treated With MET Inhibitors: Results of a Multinational Retrospective Chart Review. Clin Lung Cancer 2023; 24:641-650.e2. [PMID: 37741716 DOI: 10.1016/j.cllc.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 08/10/2023] [Accepted: 08/10/2023] [Indexed: 09/25/2023]
Abstract
BACKGROUND We evaluated the disease and patient characteristics, treatment, and MET testing patterns, predictive biomarkers and survival outcomes in patients with MET-dysregulated metastatic non-small-cell lung cancer (NSCLC) in a real-world setting. PATIENTS AND METHODS This was a multinational, retrospective, noninterventional chart review study. Data from medical records of patients with advanced/metastatic EGFR wild-type, MET-dysregulated NSCLC (December 2017-September 2018) were abstracted into electronic data collection forms. RESULTS Overall, 211 patient charts were included in this analysis; 157 patients had MET exon 14 skipping mutations (METex14; with or without concomitant MET amplification) and 54 had MET amplification only. All patients were tested for METex14, whereas MET amplification was evaluated in 168 patients. No overlap was reported between MET dysregulation and ALK, ROS1 or RET rearrangements, or HER2 exon 20 insertions. Overall, 56 of 211 patients (26.5%) received MET inhibitor (METi) therapy in any treatment-line setting (31.2% in the METex14 cohort; 13% in the MET-amplified only cohort). In the METex14 cohort, median OS in patients receiving METi was 25.4 months versus 10.7 months in patients who did not (HR [95% CI]: 0.532 [0.340-0.832]; P = .0055). In the MET-amplified only cohort, median OS was 20.6 months in patients treated with METi compared with 7.6 months in those without METi (HR [95% CI]: 0.388 [0.152-0.991]; P = .0479). CONCLUSIONS MET alterations in NSCLC typically occur in the absence of other oncogenic driver mutations and are associated with poor survival outcomes. Notably, METi therapies are associated with improved survival outcomes in patients with MET-dysregulated NSCLC.
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Affiliation(s)
- Jürgen Wolf
- Department of Internal Medicine, Center for Integrated Oncology, University Hospital Cologne, Cologne, Germany.
| | | | - Koichi Goto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Alexis Cortot
- Department of Thoracic Oncology, University of Lille, CHU Lille, CNRS, Inserm, Institut Pasteur De Lille, UMR9020-U1277-CANTHER, Lille, France
| | - Christina Baik
- Thoracic, Head and Neck Medical Oncology, University of Washington, Seattle, WA
| | | | - Tae Min Kim
- Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ji-Youn Han
- Center for Lung Cancer, National Cancer Center, Goyang, Republic of Korea
| | - Joel W Neal
- Medical Oncology, Stanford University Medical Center, Stanford, CA
| | | | | | | | | | | | | | - Mark M Awad
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
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8
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Thummalapalli R, Ricciuti B, Bandlamudi C, Muldoon D, Rizvi H, Elkrief A, Luo J, Alessi JV, Pecci F, Lamberti G, Di Federico A, Hong L, Zhang J, Heymach JV, Gibbons DL, Plodkowski AJ, Ravichandran V, Donoghue MT, Vanderbilt C, Ladanyi M, Rudin CM, Kris MG, Riely GJ, Chaft JE, Hellmann MD, Vokes NI, Awad MM, Schoenfeld AJ. Clinical and Molecular Features of Long-term Response to Immune Checkpoint Inhibitors in Patients with Advanced Non-Small Cell Lung Cancer. Clin Cancer Res 2023; 29:4408-4418. [PMID: 37432985 PMCID: PMC10618656 DOI: 10.1158/1078-0432.ccr-23-1207] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/15/2023] [Accepted: 07/07/2023] [Indexed: 07/13/2023]
Abstract
PURPOSE We sought to identify features of patients with advanced non-small cell lung cancer (NSCLC) who achieve long-term response (LTR) to immune checkpoint inhibitors (ICI), and how these might differ from features predictive of short-term response (STR). EXPERIMENTAL DESIGN We performed a multicenter retrospective analysis of patients with advanced NSCLC treated with ICIs between 2011 and 2022. LTR and STR were defined as response ≥ 24 months and response < 12 months, respectively. Tumor programmed death ligand 1 (PD-L1) expression, tumor mutational burden (TMB), next-generation sequencing (NGS), and whole-exome sequencing (WES) data were analyzed to identify characteristics enriched in patients achieving LTR compared with STR and non-LTR. RESULTS Among 3,118 patients, 8% achieved LTR and 7% achieved STR, with 5-year overall survival (OS) of 81% and 18% among LTR and STR patients, respectively. High TMB (≥50th percentile) enriched for LTR compared with STR (P = 0.001) and non-LTR (P < 0.001). Whereas PD-L1 ≥ 50% enriched for LTR compared with non-LTR (P < 0.001), PD-L1 ≥ 50% did not enrich for LTR compared with STR (P = 0.181). Nonsquamous histology (P = 0.040) and increasing depth of response [median best overall response (BOR) -65% vs. -46%, P < 0.001] also associated with LTR compared with STR; no individual genomic alterations were uniquely enriched among LTR patients. CONCLUSIONS Among patients with advanced NSCLC treated with ICIs, distinct features including high TMB, nonsquamous histology, and depth of radiographic improvement distinguish patients poised to achieve LTR compared with initial response followed by progression, whereas high PD-L1 does not.
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Affiliation(s)
- Rohit Thummalapalli
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Chaitanya Bandlamudi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Daniel Muldoon
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hira Rizvi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Arielle Elkrief
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jia Luo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Joao V. Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Lingzhi Hong
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - John V. Heymach
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Don L. Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Andrew J. Plodkowski
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Vignesh Ravichandran
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark T.A. Donoghue
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Chad Vanderbilt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Charles M. Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark G. Kris
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Gregory J. Riely
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jamie E. Chaft
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Matthew D. Hellmann
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Natalie I. Vokes
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Adam J. Schoenfeld
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
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9
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Alessi JV, Wang X, Elkrief A, Ricciuti B, Li YY, Gupta H, Spurr LF, Rizvi H, Luo J, Pecci F, Lamberti G, Recondo G, Venkatraman D, Di Federico A, Gandhi MM, Vaz VR, Nishino M, Sholl LM, Cherniack AD, Ladanyi M, Price A, Richards AL, Donoghue M, Lindsay J, Sharma B, Turner MM, Pfaff KL, Felt KD, Rodig SJ, Lin X, Meyerson ML, Johnson BE, Christiani DC, Schoenfeld AJ, Awad MM. Impact of Aneuploidy and Chromosome 9p Loss on Tumor Immune Microenvironment and Immune Checkpoint Inhibitor Efficacy in NSCLC. J Thorac Oncol 2023; 18:1524-1537. [PMID: 37247843 PMCID: PMC10913104 DOI: 10.1016/j.jtho.2023.05.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 04/28/2023] [Accepted: 05/13/2023] [Indexed: 05/31/2023]
Abstract
INTRODUCTION Although gene-level copy number alterations have been studied as a potential biomarker of immunotherapy efficacy in NSCLC, the impact of aneuploidy burden and chromosomal arm-level events on immune checkpoint inhibitor (ICI) efficacy in NSCLC is uncertain. METHODS Patients who received programmed cell death protein 1 or programmed death-ligand 1 (PD-L1) inhibitor at two academic centers were included. Across all 22 chromosomes analyzed, an arm was considered altered if at least 70% of its territory was either gained or deleted. Among nonsquamous NSCLCs which underwent targeted next-generation sequencing, we retrospectively quantified aneuploidy using the adjusted fraction of chromosomal arm alterations (FAA), defined as the number of altered chromosome arms divided by the number of chromosome arms assessed, adjusted for tumor purity. RESULTS Among 2293 nonsquamous NSCLCs identified, the median FAA increased with more advanced cancer stage and decreased with higher PD-L1 tumor proportion score (TPS) levels (median FAA in TPS < 1%: 0.09, TPS 1%-49%: 0.08, TPS ≥ 50%: 0.05, p < 0.0001). There was a very weak correlation between FAA and tumor mutational burden when taken as continuous variables (R: 0.07, p = 0.0005). A total of 765 advanced nonsquamous NSCLCs with available FAA values were treated with ICIs. With decreasing FAA tertiles, there was a progressive improvement in objective response rate (ORR 15.1% in upper tertile versus 23.2% in middle tertile versus 28.4% in lowest tertile, p = 0.001), median progression-free survival (mPFS 2.5 versus 3.3 versus 4.1 mo, p < 0.0001), and median overall survival (mOS 12.5 versus 13.9 versus 16.4 mo, p = 0.006), respectively. In the arm-level enrichment analysis, chromosome 9p loss (OR = 0.22, Q = 0.0002) and chromosome 1q gain (OR = 0.43, Q = 0.002) were significantly enriched in ICI nonresponders after false discovery rate adjustment. Compared with NSCLCs without chromosome 9p loss (n = 452), those with 9p loss (n = 154) had a lower ORR (28.1% versus 7.8%, p < 0.0001), a shorter mPFS (4.1 versus 2.3 mo, p < 0.0001), and a shorter mOS (18.0 versus 9.6 mo, p < 0.0001) to immunotherapy. In addition, among NSCLCs with high PD-L1 expression (TPS ≥ 50%), chromosome 9p loss was associated with lower ORR (43% versus 6%, p < 0.0001), shorter mPFS (6.4 versus 2.6 mo, p = 0.0006), and shorter mOS (30.2 versus 14.3 mo, p = 0.0008) to immunotherapy compared with NSCLCs without 9p loss. In multivariable analysis, adjusting for key variables including FAA, chromosome 9p loss, but not 1q gain, retained a significant impact on ORR (hazard ratio [HR] = 0.25, p < 0.001), mPFS (HR = 1.49, p = 0.001), and mOS (HR = 1.47, p = 0.003). Multiplexed immunofluorescence and computational deconvolution of RNA sequencing data revealed that tumors with either high FAA levels or chromosome 9p loss had significantly fewer tumor-associated cytotoxic immune cells. CONCLUSIONS Nonsquamous NSCLCs with high aneuploidy and chromosome 9p loss have a distinct tumor immune microenvironment and less favorable outcomes to ICIs.
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Affiliation(s)
- Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Arielle Elkrief
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Yvonne Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Hersh Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Liam F Spurr
- Pritzker School of Medicine, The University of Chicago, Chicago, Illinois
| | - Hira Rizvi
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jia Luo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Gonzalo Recondo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Deepti Venkatraman
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Malini M Gandhi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Victor R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Adam Price
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Allison L Richards
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark Donoghue
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - James Lindsay
- Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Bijaya Sharma
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Madison M Turner
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kathleen L Pfaff
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kristen D Felt
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Scott J Rodig
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts; Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Matthew L Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Bruce E Johnson
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
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10
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Alessi JV, Price A, Richards AL, Ricciuti B, Wang X, Elkrief A, Pecci F, Di Federico A, Gandhi MM, Lebow ES, Santos PMG, Thor M, Rimner A, Schoenfeld AJ, Chaft JE, Johnson BE, Gomez DR, Awad MM, Shaverdian N. Multi-institutional analysis of aneuploidy and outcomes to chemoradiation and durvalumab in stage III non-small cell lung cancer. J Immunother Cancer 2023; 11:e007618. [PMID: 37914383 PMCID: PMC10626762 DOI: 10.1136/jitc-2023-007618] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2023] [Indexed: 11/03/2023] Open
Abstract
There is a need to identify predictive biomarkers to guide treatment strategies in stage III non-small cell lung cancer (NSCLCs). In this multi-institutional cohort of 197 patients with stage III NSCLC treated with concurrent chemoradiation (cCRT) and durvalumab consolidation, we identify that low tumor aneuploidy is independently associated with prolonged progression-free survival (HR 0.63; p=0.03) and overall survival (HR 0.50; p=0.03). Tumors with high aneuploidy had a significantly greater incidence of distant metastasis and shorter median distant-metastasis free survival (p=0.04 and p=0.048, respectively), but aneuploidy level did not associate with local-regional outcomes. Multiplexed immunofluorescence analysis in a cohort of NSCLC found increased intratumoral CD8-positive, PD-1-positive cells, double-positive PD-1 CD8 cells, and FOXP3-positive T-cell in low aneuploid tumors. Additionally, in a cohort of 101 patients treated with cCRT alone, tumor aneuploidy did not associate with disease outcomes. These data support the need for upfront treatment intensification strategies in stage III NSCLC patients with high aneuploid tumors and suggest that tumor aneuploidy is a promising predictive biomarker.
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Affiliation(s)
- Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Adam Price
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Allison L Richards
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Xinan Wang
- Environmental Health, Harvard University, Boston, Massachusetts, USA
| | - Arielle Elkrief
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Alessandro Di Federico
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Malini M Gandhi
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Emily S Lebow
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Patricia Mae G Santos
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Maria Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Andreas Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jamie E Chaft
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Bruce E Johnson
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Daniel R Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Narek Shaverdian
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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11
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Kim HR, Awad MM, Navarro A, Gottfried M, Peters S, Csőszi T, Cheema PK, Rodriguez-Abreu D, Wollner M, Yang JCH, Mazieres J, Orlandi FJ, Luft A, Gümüş M, Kato T, Kalemkerian GP, Luo Y, Santorelli ML, Pietanza MC, Rudin CM. Patient-Reported Health-Related Quality of Life in KEYNOTE-604: Pembrolizumab or Placebo Added to Etoposide and Platinum as First-Line Therapy for Extensive-Stage SCLC. JTO Clin Res Rep 2023; 4:100572. [PMID: 37954964 PMCID: PMC10637979 DOI: 10.1016/j.jtocrr.2023.100572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/24/2023] [Accepted: 09/04/2023] [Indexed: 11/14/2023] Open
Abstract
Introduction In the phase 3 KEYNOTE-604 study (NCT03066778), pembrolizumab plus etoposide and platinum chemotherapy (EP) significantly (p = 0.0023) improved progression-free survival versus placebo plus EP in previously untreated extensive-stage SCLC (ES-SCLC). We present health-related quality of life (HRQoL) results from KEYNOTE-604. Methods Patients with stage IV SCLC were randomized 1:1 to pembrolizumab 200 mg or placebo every 3 weeks for 35 cycles plus four cycles of EP. Secondary end points included mean change from baseline to week 18 in the European Organisation for Research and Treatment of Cancer Quality-of-Life Questionnaire-Core 30 (QLQ-C30) global health status/quality of life (GHS/QoL) scale and time to deterioration in the composite outcome of cough, chest pain, or dyspnea from QLQ-C30 and QLQ-Lung Cancer Module 13. Two-sided, nominal p values are reported. Results A total of 439 patients completed at least one QLQ-C30 and QLQ-Lung Cancer Module 13 assessment (pembrolizumab + EP, n = 221; placebo + EP, n = 218). GHS/QoL scores improved from baseline to week 18: least squares mean (95% confidence interval [CI]) changes were 8.7 (5.3-12.1) for pembrolizumab plus EP and 4.2 (0.9-7.5) for placebo plus EP. Between-group differences in least squares mean scores were improved for pembrolizumab plus EP (4.4 [95% CI: 0.2-8.7], p = 0.040]). Median time to deterioration for the composite end point was not reached and 8.7 (95% CI: 5.9-not reached) months, respectively (hazard ratio = 0.80 [95% CI: 0.56-1.14], p = 0.208). Conclusions First-line pembrolizumab plus EP therapy maintained HRQoL in patients with ES-SCLC and may be associated with greater improvement than placebo plus EP. Together with the efficacy and safety findings in KEYNOTE-604, HRQoL data support the benefit of pembrolizumab in ES-SCLC.
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Affiliation(s)
- Hye Ryun Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Mark M. Awad
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Alejandro Navarro
- Clinical Research Department (VHIO) and Oncology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Maya Gottfried
- Oncology Department, Meir Medical Center, Kfar-Saba, Israel
| | - Solange Peters
- Oncology Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Tibor Csőszi
- Department of Oncology, Hetenyi G Korhaz Onkologiai Kozpont, Szolnok, Hungary
| | - Parneet K. Cheema
- Division of Medical Oncology, William Osler Health System, University of Toronto, Brampton, Ontario, Canada
| | - Delvys Rodriguez-Abreu
- Medical Oncology Department, Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Mirjana Wollner
- Department of Medical Oncology, Rambam Medical Center, Haifa, Israel
| | - James Chih-Hsin Yang
- Department of Oncology, National Taiwan University Hospital and Department of Medicine, National Taiwan University Cancer Center, Taipei, Taiwan
| | - Julien Mazieres
- Department of Thoracic Oncology, Centre Hospitalier Universitaire de Toulouse, Université Paul Sabatier, Toulouse, France
| | | | - Alexander Luft
- Department of Oncology No. 1 (Thoracic Surgery), Leningrad Regional Clinical Hospital, St. Petersburg, Russia
| | - Mahmut Gümüş
- Department of Medical Oncology, Istanbul Medeniyet University Hospital, Istanbul, Turkey
| | - Terufumi Kato
- Department of Thoracic Oncology, Kanagawa Cancer Center, Yokohama, Japan
| | - Gregory P. Kalemkerian
- Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Yiwen Luo
- Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, New Jersey
| | - Melissa L. Santorelli
- Center for Observational and Real-World Evidence, Merck & Co., Inc., Rahway, New Jersey
| | | | - Charles M. Rudin
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
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12
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Zhu M, Kim J, Deng Q, Ricciuti B, Alessi JV, Eglenen-Polat B, Bender ME, Huang HC, Kowash RR, Cuevas I, Bennett ZT, Gao J, Minna JD, Castrillon DH, Awad MM, Xu L, Akbay EA. Loss of p53 and mutational heterogeneity drives immune resistance in an autochthonous mouse lung cancer model with high tumor mutational burden. Cancer Cell 2023; 41:1731-1748.e8. [PMID: 37774698 PMCID: PMC10693909 DOI: 10.1016/j.ccell.2023.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 07/10/2023] [Accepted: 09/06/2023] [Indexed: 10/01/2023]
Abstract
The role of tumor mutational burden (TMB) in shaping tumor immunity is a key question that has not been addressable using genetically engineered mouse models (GEMMs) of lung cancer. To induce TMB in lung GEMMs, we expressed an ultra-mutator variant of DNA polymerase-E (POLE)P286R in lung epithelial cells. Introduction of PoleP286R allele into KrasG12D and KrasG12D; p53L/L (KP) models significantly increase their TMB. Immunogenicity and sensitivity to immune checkpoint blockade (ICB) induced by Pole is partially dependent on p53. Corroborating these observations, survival of NSCLC patients whose tumors have TP53truncating mutations is shorter than those with TP53WT with immunotherapy. Immune resistance is in part through reduced antigen presentation and in part due to mutational heterogeneity. Total STING protein levels are elevated in Pole mutated KP tumors creating a vulnerability. A stable polyvalent STING agonist or p53 induction increases sensitivity to immunotherapy offering therapeutic options in these polyclonal tumors.
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Affiliation(s)
- Mingrui Zhu
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - Jiwoong Kim
- Quantitative Biomedical Research Center, Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Qing Deng
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Buse Eglenen-Polat
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - Matthew E Bender
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - Hai-Cheng Huang
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - Ryan R Kowash
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - Ileana Cuevas
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - Zachary T Bennett
- Simmons Comprehensive Cancer Center, Dallas, TX, USA; Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jinming Gao
- Simmons Comprehensive Cancer Center, Dallas, TX, USA; Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - John D Minna
- Simmons Comprehensive Cancer Center, Dallas, TX, USA; Department Hamon Center for Therapeutic Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Diego H Castrillon
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Lin Xu
- Quantitative Biomedical Research Center, Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Esra A Akbay
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Simmons Comprehensive Cancer Center, Dallas, TX, USA.
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13
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Nishino M, Wang X, Ricciuti B, Tseng SC, Park H, Alessi JV, Vaz VR, Hatabu H, Lin X, Christiani DC, Awad MM. Advanced non-small-cell lung cancer treated with first-line pembrolizumab plus chemotherapy: tumor response dynamics as a marker for survival. Eur Radiol 2023; 33:7284-7293. [PMID: 37099174 PMCID: PMC10896107 DOI: 10.1007/s00330-023-09658-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 04/27/2023]
Abstract
OBJECTIVES The study investigated tumor burden dynamics on computed tomography (CT) scans in patients with advanced non-small-cell lung cancer (NSCLC) during first-line pembrolizumab plus chemotherapy, to provide imaging markers for overall survival (OS). METHODS The study included 133 patients treated with first-line pembrolizumab plus platinum-doublet chemotherapy. Serial CT scans during therapy were assessed for tumor burden dynamics during therapy, which were studied for the association with OS. RESULTS There were 67 responders, with overall response rate of 50%. The tumor burden change at the best overall response ranged from - 100.0% to + 132.1% (median of - 30%). Higher response rates were associated with younger age (p < 0.001) and higher programmed cell death-1 (PD-L1) expression levels (p = 0.01). Eighty-three patients (62%) showed tumor burden below the baseline burden throughout therapy. Using an 8-week landmark analysis, OS was longer in patients with tumor burden below the baseline burden in the first 8 weeks than in those who experienced ≥ 0% increase (median OS: 26.8 vs. 7.6 months, hazard ratio (HR): 0.36, p < 0.001). Tumor burden remained below their baseline throughout therapy was associated with significantly reduced hazards of death (HR: 0.72, p = 0.03) in the extended Cox models, after adjusting for other clinical variables. Pseudoprogression was noted in only one patient (0.8%). CONCLUSIONS Tumor burden staying below the baseline burden throughout the therapy was predictive of prolonged overall survival in patients with advanced NSCLC treated with first-line pembrolizumab plus chemotherapy, and may be used as a practical marker for therapeutic decisions in this widely used combination regimen. CLINICAL RELEVANCE STATEMENT The analysis of tumor burden dynamics on serial CT scans in reference to the baseline burden can provide an additional objective guide for treatment decision making in patients treated with first-line pembrolizumab plus chemotherapy for their advanced NSCLC. KEY POINTS • Tumor burden remaining below baseline burden during therapy predicted longer survival during first-line pembrolizumab plus chemotherapy. • Pseudoprogression was noted in 0.8%, demonstrating the rarity of the phenomenon. • Tumor burden dynamics may serve as an objective marker for treatment benefit to guide treatment decisions during first-line pembrolizumab plus chemotherapy.
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Affiliation(s)
- Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, 450 Brookline Ave., MA, 02215, Boston, USA.
| | - Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA
| | - Biagio Ricciuti
- Department of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450 Brookline Ave., Boston, MA, 02215, USA
| | - Shu-Chi Tseng
- Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, 450 Brookline Ave., MA, 02215, Boston, USA
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan, Taiwan
| | - Hyesun Park
- Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, 450 Brookline Ave., MA, 02215, Boston, USA
| | - Joao V Alessi
- Department of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450 Brookline Ave., Boston, MA, 02215, USA
| | - Victor R Vaz
- Department of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450 Brookline Ave., Boston, MA, 02215, USA
| | - Hiroto Hatabu
- Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, 450 Brookline Ave., MA, 02215, Boston, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA
- Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Mark M Awad
- Department of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450 Brookline Ave., Boston, MA, 02215, USA
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14
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Chaunzwa TL, Qian JM, Li Q, Ricciuti B, Zhang Z, Weiss J, Mackay J, Kagiampakis I, Bikiel D, Federico AD, Alessi J, Mak RH, Jacob E, Awad MM, Aerts H. AI-Derived CT Body Composition in Advanced Non-Small Cell Lung Cancer: A Multicohort Study. Int J Radiat Oncol Biol Phys 2023; 117:e10-e11. [PMID: 37784624 DOI: 10.1016/j.ijrobp.2023.06.669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The relationship between body composition (BC) and cancer outcomes is complex and incompletely understood. Previous research in non-small cell lung cancer (NSCLC) has been limited to small single-institution studies, which have yielded inconsistent results. MATERIALS/METHODS We conducted a comprehensive multicohort analysis to evaluate the impact of BC on overall survival (OS) in advanced NSCLC treated with systemic therapy. The analysis included data from the phase I/II CP1108 study (NSCLC Durvalumab cohort) and the chemotherapy arm of the phase III MYSTIC trial. We also analyzed data from Dana-Farber Cancer Institute (DFCI) cohorts receiving immunotherapy alone or in combination with chemotherapy. Baseline and follow-up (FU) CT scans were collected and analyzed using deep neural networks for automatic L3 slice selection and body compartment segmentation (skeletal muscle [SM], subcutaneous adipose tissue [SAT], and visceral adipose tissue [VAT]). We compared OS based on baseline BC measures or their change at the first FU scan. The impact of sarcopenia at baseline was evaluated in association with the delta metrics. RESULTS A total of 1865 NSCLC patients were analyzed, of which 222 were treated on CP1108, 257 were treated on MYSTIC, 870 received IO monotherapy at DFCI (DFCI-IO), and 516 received chemoimmunotherapy at DFCI (DFCI-CIO). The median ages were 65, 63, 66, and 65, respectively. A loss in SM mass >5%, as indicated by a change in L3 SM area, was significantly associated with poorer OS across all patient groups (median [months]: 5 vs. 19; p<0.001 for CP1108, 11 vs. 14; p = 0.03 for MYSTIC, 11 vs. 17; p<0.001 for DFCI-IO, and 12 vs. 22; p<0.001 for DFCI-CIO). This effect was driven by male patients, with a non-significant association (p>0.5) among female patients in the MYSTIC and DFCI-CIO cohorts. An increase in SAT density >5%, as quantified by the average CT attenuation in HU of the SAT compartment, was significantly linked to poorer OS in three patient groups (median [months]: 4 vs. 19; p<0.001 for CP1108, 10 vs. 17; p<0.001 for DFCI-IO, and 12 vs. 20; p = 0.003 for DFCI-CIO). This was primarily observed among female patients, with a non-significant association (p>0.5) among male patients in the DFCI-CIO cohort. On subgroup analysis, loss in SM mass had an impact on OS in patients with baseline sarcopenia (median [months] 5 vs. 22; p<0.001 for CP1108, 5 vs. 12; p = 0.03 for MYSTIC, 11 vs. 17; p<0.001 for DFCI IO, and 9 vs. 17; p = 0.003 for DFCI-CIO). Conversely, no association was observed between change in SM mass and OS in patients without sarcopenia at baseline in the MYSTIC and DFCI-IO cohorts. CONCLUSION Sarcopenia and loss in SM mass during systemic therapy for NSCLC are markers of poor outcome, especially in male patients. SAT density changes are also strongly associated with prognosis, particularly in female patients. Automated CT-derived BC measurements should be considered along with other risk factors in determining lung cancer prognosis and ability to tolerate oncologic treatments.
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Affiliation(s)
- T L Chaunzwa
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA
| | - J M Qian
- Brigham and Women's Hospital and Dana-Farber Cancer Institute/ Harvard, Boston, MA, Boston, MA
| | | | - B Ricciuti
- Dana-Farber Cancer Institute, Boston, MA
| | - Z Zhang
- Dana-Farber Cancer Institute, Boston, MA
| | - J Weiss
- Artificial Intelligence in Medicine (AIM) Program, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | | | | | | | - J Alessi
- Dana-Farber Cancer Institute, Boston, MA
| | - R H Mak
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA
| | | | - M M Awad
- Brigham and Women's Hospital and Dana-Farber/Harvard Cancer Center, Boston, MA
| | - H Aerts
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA
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15
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Gandhi MM, Ricciuti B, Harada G, Repetto M, Gildenberg MS, Singh A, Li YY, Gagné A, Wang X, Aizer A, Fitzgerald K, Nishino M, Alessi J, Pecci F, Di Federico A, Fisch A, Drilon A, Nardi V, Sholl L, Awad MM, Rotow J. Amplification of Wild-Type RET Represents a Novel Molecular Subtype of Several Cancer Types With Clinical Response to Selpercatinib. JCO Precis Oncol 2023; 7:e2300295. [PMID: 37972337 PMCID: PMC10681403 DOI: 10.1200/po.23.00295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/28/2023] [Accepted: 09/08/2023] [Indexed: 11/19/2023] Open
Abstract
PURPOSE RET rearrangements and RET activating point mutations represent targetable genomic alterations in advanced solid tumors. However, the frequency and clinicopathologic characteristics of wild-type RET amplification in cancer and its potential role as a targetable oncogenic driver are not well-characterized. METHODS In two institutional cohorts of patients with solid cancers from the Dana-Farber Cancer Institute (DFCI) and Memorial Sloan Kettering Cancer Center (MSKCC) whose tumors underwent next-generation sequencing (NGS), the frequency and clinicopathologic features of wild-type RET amplification in the absence of RET rearrangements or activating mutations was assessed. The findings were validated using merged data from The Cancer Genome Atlas (TCGA), Genomics Evidence Neoplasia Information Exchange (GENIE), and China Pan-Cancer data sets. RESULTS The frequency of wild-type RET amplification across all solid cancers was 0.08% (26 of 32,505) in the DFCI cohort, 0.05% (26 of 53,152) in the MSKCC cohort, and 0.25% (71 of 28,623) in the cohort from TCGA, GENIE, and China Pan-Cancer. Cancer types with RET amplification included non-small-cell lung cancer (NSCLC), hepatobiliary cancer, prostate cancer, breast cancer, and others. The median RET copy number in RET-amplified cases was 7.5 (range, 6-36) in the DFCI cohort and 5.7 (range, 4-27.7) in the MSKCC cohort. Among 11 RET-amplified NSCLCs, eight had no other concurrent driver mutations. Finally, we report on a 69-year-old man with recurrent NSCLC harboring high-level wild-type RET amplification (22-28 copies) as the only identified putative genomic driver who experienced both a systemic and intracranial confirmed response to the RET inhibitor selpercatinib. CONCLUSION Amplification of wild-type RET represents a novel, targetable molecular subset of cancer.
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Affiliation(s)
- Malini M. Gandhi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Guilherme Harada
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY
| | - Matteo Repetto
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY
| | | | - Ankit Singh
- Center for Integrated Diagnostics, Massachusetts General Hospital, Boston, MA
| | - Yvonne Y. Li
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Andréanne Gagné
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Xinan Wang
- Harvard School of Public Health, Boston, MA
| | - Ayal Aizer
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Kelly Fitzgerald
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
| | - Joao Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Adam Fisch
- Department of Pathology, Massachusetts General Hospital, Boston, MA
| | - Alexander Drilon
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY
| | - Valentina Nardi
- Department of Pathology, Massachusetts General Hospital, Boston, MA
| | - Lynette Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Julia Rotow
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
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16
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Alessi JV, Awad MM. Letter to the Editor: Reply to Kus and Aktas. J Thorac Oncol 2023; 18:e84-e85. [PMID: 37479334 DOI: 10.1016/j.jtho.2023.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 07/23/2023]
Affiliation(s)
- Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Boston, Massachusetts
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Boston, Massachusetts.
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Alessi JV, Ricciuti B, Wang X, Pecci F, Di Federico A, Lamberti G, Elkrief A, Rodig SJ, Lebow ES, Eicholz JE, Thor M, Rimner A, Schoenfeld AJ, Chaft JE, Johnson BE, Gomez DR, Awad MM, Shaverdian N. Impact of TMB/PD-L1 expression and pneumonitis on chemoradiation and durvalumab response in stage III NSCLC. Nat Commun 2023; 14:4238. [PMID: 37454214 PMCID: PMC10349822 DOI: 10.1038/s41467-023-39874-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 06/29/2023] [Indexed: 07/18/2023] Open
Abstract
Although concurrent chemoradiation (CRT) and durvalumab consolidation has become a standard treatment for stage III non-small cell lung cancer (NSCLC), clinicopathologic and genomic factors associated with its efficacy remain poorly characterized. Here, in a multi-institutional retrospective cohort study of 328 patients treated with CRT and durvalumab, we identify that very high PD-L1 tumor proportion score (TPS) expression ( ≥ 90%) and increased tumor mutational burden (TMB) are independently associated with prolonged disease control. Additionally, we identify the impact of pneumonitis and its timing on disease outcomes among patients who discontinue durvalumab: compared to patients who experienced early-onset pneumonitis ( < 3 months) leading to durvalumab discontinuation, patients with late-onset pneumonitis had a significantly longer PFS (12.7 months vs not reached; HR 0.24 [95% CI, 0.10 to 0.58]; P = 0.001) and overall survival (37.2 months vs not reached; HR 0.26 [95% CI, 0.09 to 0.79]; P = 0.017). These findings suggest that opportunities exist to improve outcomes in patients with lower PD-L1 and TMB levels, and those at highest risk for pneumonitis.
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Affiliation(s)
- Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Arielle Elkrief
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, few York, NY, USA
| | - Scott J Rodig
- ImmunoProfile, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Emily S Lebow
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jordan E Eicholz
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andreas Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jamie E Chaft
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bruce E Johnson
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Daniel R Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Narek Shaverdian
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Negrao MV, Araujo HA, Lamberti G, Cooper AJ, Akhave NS, Zhou T, Delasos L, Hicks JK, Aldea M, Minuti G, Hines J, Aredo JV, Dennis MJ, Chakrabarti T, Scott SC, Bironzo P, Scheffler M, Christopoulos P, Stenzinger A, Riess JW, Kim SY, Goldberg SB, Li M, Wang Q, Qing Y, Ni Y, Do MT, Lee R, Ricciuti B, Alessi JV, Wang J, Resuli B, Landi L, Tseng SC, Nishino M, Digumarthy SR, Rinsurongkawong W, Rinsurongkawong V, Vaporciyan AA, Blumenschein GR, Zhang J, Owen DH, Blakely CM, Mountzios G, Shu CA, Bestvina CM, Garassino MC, Marrone KA, Gray JE, Patel SP, Cummings AL, Wakelee HA, Wolf J, Scagliotti GV, Cappuzzo F, Barlesi F, Patil PD, Drusbosky L, Gibbons DL, Meric-Bernstam F, Lee JJ, Heymach JV, Hong DS, Heist RS, Awad MM, Skoulidis F. Comutations and KRASG12C Inhibitor Efficacy in Advanced NSCLC. Cancer Discov 2023; 13:1556-1571. [PMID: 37068173 DOI: 10.1158/2159-8290.cd-22-1420] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/08/2023] [Accepted: 03/29/2023] [Indexed: 04/19/2023]
Abstract
Molecular modifiers of KRASG12C inhibitor (KRASG12Ci) efficacy in advanced KRASG12C-mutant NSCLC are poorly defined. In a large unbiased clinicogenomic analysis of 424 patients with non-small cell lung cancer (NSCLC), we identified and validated coalterations in KEAP1, SMARCA4, and CDKN2A as major independent determinants of inferior clinical outcomes with KRASG12Ci monotherapy. Collectively, comutations in these three tumor suppressor genes segregated patients into distinct prognostic subgroups and captured ∼50% of those with early disease progression (progression-free survival ≤3 months) with KRASG12Ci. Pathway-level integration of less prevalent coalterations in functionally related genes nominated PI3K/AKT/MTOR pathway and additional baseline RAS gene alterations, including amplifications, as candidate drivers of inferior outcomes with KRASG12Ci, and revealed a possible association between defective DNA damage response/repair and improved KRASG12Ci efficacy. Our findings propose a framework for patient stratification and clinical outcome prediction in KRASG12C-mutant NSCLC that can inform rational selection and appropriate tailoring of emerging combination therapies. SIGNIFICANCE In this work, we identify co-occurring genomic alterations in KEAP1, SMARCA4, and CDKN2A as independent determinants of poor clinical outcomes with KRASG12Ci monotherapy in advanced NSCLC, and we propose a framework for patient stratification and treatment personalization based on the comutational status of individual tumors. See related commentary by Heng et al., p. 1513. This article is highlighted in the In This Issue feature, p. 1501.
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Affiliation(s)
- Marcelo V Negrao
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Haniel A Araujo
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Neal S Akhave
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Teng Zhou
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lukas Delasos
- Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio
| | - J Kevin Hicks
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida
| | - Mihaela Aldea
- Institut Gustave Roussy, Villejuif, France
- Paris-Saclay University, Paris, France
| | | | - Jacobi Hines
- University of Chicago Medical Center, Chicago, Illinois
| | | | - Michael J Dennis
- Moores Cancer Center, University of California San Diego, San Diego, California
| | - Turja Chakrabarti
- Department of Medicine, Division of Hematology and Oncology, University of California San Francisco, San Francisco, California
| | - Susan C Scott
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Paolo Bironzo
- Department of Oncology, University of Turin, Turin, Italy
| | - Matthias Scheffler
- Department for Internal Medicine, Center for Integrated Oncology Köln-Bonn, University Hospital Cologne, Cologne, Germany
| | - Petros Christopoulos
- Department of Thoracic Oncology, Thoraxklinik and National Center for Tumor Diseases at Heidelberg University Hospital, Heidelberg, Germany
| | | | - Jonathan W Riess
- University of California Davis Comprehensive Cancer Center, Sacramento, California
| | - So Yeon Kim
- Yale School of Medicine, New Haven, Connecticut
| | | | - Mingjia Li
- Division of Medical Oncology, The Ohio State University-James Comprehensive Cancer Center, Columbus, Ohio
| | - Qi Wang
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yun Qing
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ying Ni
- Center for Immunotherapy and Precision Immuno-Oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio
| | - Minh Truong Do
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Richard Lee
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Joao Victor Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jing Wang
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Blerina Resuli
- Istituto Nazionale Tumori IRCCS "Regina Elena," Rome, Italy
| | - Lorenza Landi
- Istituto Nazionale Tumori IRCCS "Regina Elena," Rome, Italy
| | - Shu-Chi Tseng
- Department of Radiology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts
| | - Subba R Digumarthy
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Waree Rinsurongkawong
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Vadeerat Rinsurongkawong
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ara A Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - George R Blumenschein
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dwight H Owen
- Division of Medical Oncology, The Ohio State University-James Comprehensive Cancer Center, Columbus, Ohio
| | - Collin M Blakely
- Department of Medicine, Division of Hematology and Oncology, University of California San Francisco, San Francisco, California
| | - Giannis Mountzios
- Fourth Department of Medical Oncology and Clinical Trials Unit, Henry Dunant Hospital Center, Athens, Greece
| | - Catherine A Shu
- Department of Medicine, Columbia University, New York, New York
| | | | | | - Kristen A Marrone
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jhanelle E Gray
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida
| | - Sandip Pravin Patel
- Moores Cancer Center, University of California San Diego, San Diego, California
| | - Amy L Cummings
- University of California Los Angeles, Los Angeles, California
| | | | - Juergen Wolf
- Department for Internal Medicine, Center for Integrated Oncology Köln-Bonn, University Hospital Cologne, Cologne, Germany
| | | | | | - Fabrice Barlesi
- Institut Gustave Roussy, Villejuif, France
- Paris-Saclay University, Paris, France
| | | | | | - Don L Gibbons
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - J Jack Lee
- Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V Heymach
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David S Hong
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ferdinandos Skoulidis
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Ricciuti B, Elkrief A, Alessi J, Wang X, Li Y, Gupta H, Muldoon DM, Bertram AA, Pecci F, Lamberti G, Di Federico A, Barrichello A, Vaz VR, Gandhi M, Lee E, Shapiro GI, Park H, Nishino M, Lindsay J, Felt KD, Sharma B, Cherniack AD, Rodig S, Gomez DR, Shaverdian N, Rakaee M, Bandlamudi C, Ladanyi M, Janne PA, Schoenfeld AJ, Sholl LM, Awad MM, Cheng ML. Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non-Small Cell Lung Cancer. Clin Cancer Res 2023; 29:2540-2550. [PMID: 37097610 DOI: 10.1158/1078-0432.ccr-22-3413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 03/09/2023] [Accepted: 04/20/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE ATM is the most commonly mutated DNA damage and repair gene in non-small cell lung cancer (NSCLC); however, limited characterization has been pursued. EXPERIMENTAL DESIGN Clinicopathologic, genomic, and treatment data were collected for 5,172 patients with NSCLC tumors which underwent genomic profiling. ATM IHC was performed on 182 NSCLCs with ATM mutations. Multiplexed immunofluorescence was performed on a subset of 535 samples to examine tumor-infiltrating immune cell subsets. RESULTS A total of 562 deleterious ATM mutations were identified in 9.7% of NSCLC samples. ATM-mutant (ATMMUT) NSCLC was significantly associated with female sex (P = 0.02), ever smoking status (P < 0.001), non-squamous histology (P = 0.004), and higher tumor mutational burden (DFCI, P < 0.0001; MSK, P < 0.0001) compared with ATM-wild-type (ATMWT) cases. Among 3,687 NSCLCs with comprehensive genomic profiling, co-occurring KRAS, STK11, and ARID2 oncogenic mutations were significantly enriched among ATMMUT NSCLCs (Q < 0.05), while TP53 and EGFR mutations were enriched in ATMWT NSCLCs. Among 182 ATMMUT samples with ATM IHC, tumors with nonsense, insertions/deletions, or splice site mutations were significantly more likely to display ATM loss by IHC (71.4% vs. 28.6%; P < 0.0001) compared with tumors with only predicted pathogenic missense mutations. Clinical outcomes to PD-(L)1 monotherapy (N = 1,522) and chemo-immunotherapy (N = 951) were similar between ATMMUT and ATMWT NSCLCs. Patients with concurrent ATM/TP53 mutations had significantly improved response rate and progression-free survival with PD-(L)1 monotherapy. CONCLUSIONS Deleterious ATM mutations defined a subset of NSCLC with unique clinicopathologic, genomic, and immunophenotypic features. Our data may serve as resource to guide interpretation of specific ATM mutations in NSCLC.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Arielle Elkrief
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Joao Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Xinan Wang
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Yvonne Li
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Hersh Gupta
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Daniel M Muldoon
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Arrien A Bertram
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Alessandro Di Federico
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Adriana Barrichello
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Victor R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Malini Gandhi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Elinton Lee
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Geoffrey I Shapiro
- Center for DNA Damage and Repair (CDDR), Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hyesun Park
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - James Lindsay
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kristen D Felt
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Bijaya Sharma
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Andrew D Cherniack
- Department of Analytics and Informatics, Dana-Farber Cancer Institute, Boston, Massachusetts; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
| | - Scott Rodig
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Daniel R Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Narek Shaverdian
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mehrdad Rakaee
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Chaitanya Bandlamudi
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc Ladanyi
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Pasi A Janne
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Michael L Cheng
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
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20
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Mota I, Patrucco E, Mastini C, Mahadevan NR, Thai TC, Bergaggio E, Cheong TC, Leonardi G, Karaca-Atabay E, Campisi M, Poggio T, Menotti M, Ambrogio C, Longo DL, Klaeger S, Keshishian H, Sztupinszki ZM, Szallasi Z, Keskin DB, Duke-Cohan JS, Reinhold B, Carr SA, Wu CJ, Moynihan KD, Irvine DJ, Barbie DA, Reinherz EL, Voena C, Awad MM, Blasco RB, Chiarle R. ALK peptide vaccination restores the immunogenicity of ALK-rearranged non-small cell lung cancer. Nat Cancer 2023; 4:1016-1035. [PMID: 37430060 DOI: 10.1038/s43018-023-00591-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 06/07/2023] [Indexed: 07/12/2023]
Abstract
Anaplastic lymphoma kinase (ALK)-rearranged non-small cell lung cancer (NSCLC) is treated with ALK tyrosine kinase inhibitors (TKIs), but the lack of activity of immune checkpoint inhibitors (ICIs) is poorly understood. Here, we identified immunogenic ALK peptides to show that ICIs induced rejection of ALK+ tumors in the flank but not in the lung. A single-peptide vaccination restored priming of ALK-specific CD8+ T cells, eradicated lung tumors in combination with ALK TKIs and prevented metastatic dissemination of tumors to the brain. The poor response of ALK+ NSCLC to ICIs was due to ineffective CD8+ T cell priming against ALK antigens and is circumvented through specific vaccination. Finally, we identified human ALK peptides displayed by HLA-A*02:01 and HLA-B*07:02 molecules. These peptides were immunogenic in HLA-transgenic mice and were recognized by CD8+ T cells from individuals with NSCLC, paving the way for the development of a clinical vaccine to treat ALK+ NSCLC.
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Affiliation(s)
- Ines Mota
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA
| | - Enrico Patrucco
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Cristina Mastini
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Navin R Mahadevan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Tran C Thai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Elisa Bergaggio
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA
| | - Taek-Chin Cheong
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA
| | - Giulia Leonardi
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA
| | | | - Marco Campisi
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Teresa Poggio
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Matteo Menotti
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Chiara Ambrogio
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Dario L Longo
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
- Molecular Imaging Center, University of Torino, Torino, Italy
- Institute of Biostructures and Bioimaging (IBB), National Research Council of Italy (CNR), Torino, Italy
| | - Susan Klaeger
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Zsófia M Sztupinszki
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA
| | - Zoltan Szallasi
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA
- Department of Bioinformatics, Semmelweis University, Budapest, Hungary
| | - Derin B Keskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Computer Science, Metropolitan College, Boston University, Boston, MA, USA
- Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Jonathan S Duke-Cohan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Bruce Reinhold
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Steven A Carr
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Kelly D Moynihan
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Darrell J Irvine
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - David A Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ellis L Reinherz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA
| | - Claudia Voena
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Mark M Awad
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Rafael B Blasco
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA.
| | - Roberto Chiarle
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA.
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.
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21
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Elkrief A, Alessi JMV, Ricciuti B, Brown S, Rizvi H, Preeshagul IR, Wang X, Pecci F, Di Federico A, Lamberti G, Egger JV, Chaft JE, Rudin CM, Riely GJ, Kris MG, Ladanyi M, Chen Y, Hellmann MD, Shen R, Awad MM, Schoenfeld AJ. Efficacy of PD-(L)1 blockade monotherapy compared with PD-(L)1 blockade plus chemotherapy in first-line PD-L1-positive advanced lung adenocarcinomas: a cohort study. J Immunother Cancer 2023; 11:e006994. [PMID: 37487667 PMCID: PMC10373730 DOI: 10.1136/jitc-2023-006994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Single-agent PD-(L)1 blockade (IO) alone or in combination with chemotherapy (Chemotherapy-IO) is approved first-line therapies in patients with advanced lung adenocarcinomas (LUADs) with PD-L1 expression ≥1%. These regimens have not been compared prospectively. The primary objective was to compare first-line efficacies of single-agent IO to Chemotherapy-IO in patients with advanced LUADs. Secondary objectives were to explore if clinical, pathological, and genomic features were associated with differential response to Chemotherapy-IO versus IO. METHODS This was a multicenter retrospective cohort study. Inclusion criteria were patients with advanced LUADs with tumor PD-L1 ≥1% treated with first-line Chemotherapy-IO or IO. To compare the first-line efficacies of single-agent IO to Chemotherapy-IO, we conducted inverse probability weighted Cox proportional hazards models using estimated propensity scores. RESULTS The cohort analyzed included 866 patients. Relative to IO, Chemotherapy-IO was associated with improved objective response rate (ORR) (44% vs 35%, p=0.007) and progression-free survival (PFS) in patients with tumor PD-L1≥1% (HR 0.84, 95% CI 0.72 to 0.97, p=0.021) or PD-L1≥50% (ORR 55% vs 38%, p<0.001; PFS HR 0.68, 95% CI 0.53 to 0.87, p=0.002). Using propensity-adjusted analyses, only never-smokers in the PD-L1≥50% subgroup derived a differential survival benefit from Chemotherapy-IO vs IO (p=0.013). Among patients with very high tumor PD-L1 expression (≥90%), there were no differences in outcome between treatment groups. No genomic factors conferred differential survival benefit to Chemotherapy-IO versus IO. CONCLUSIONS While the addition of chemotherapy to PD-(L)1 blockade increases the probability of initial response, never-smokers with tumor PD-L1≥50% comprise the only population identified that derived an apparent survival benefit with treatment intensification.
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Affiliation(s)
- Arielle Elkrief
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joao M Victor Alessi
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Samantha Brown
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Hira Rizvi
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Isabel R Preeshagul
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Xinan Wang
- Environmental Health, Harvard University, Boston, Massachusetts, USA
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Alessandro Di Federico
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Jacklynn V Egger
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jamie E Chaft
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Weill Cornell Medical College, New York, New York, USA
| | - Charles M Rudin
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Weill Cornell Medical College, New York, New York, USA
| | - Gregory J Riely
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Weill Cornell Medical College, New York, New York, USA
| | - Mark G Kris
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Weill Cornell Medical College, New York, New York, USA
| | - Marc Ladanyi
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yuan Chen
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Matthew D Hellmann
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Weill Cornell Medical College, New York, New York, USA
| | - Ronglai Shen
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Adam J Schoenfeld
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Weill Cornell Medical College, New York, New York, USA
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Alessi JV, Elkrief A, Ricciuti B, Wang X, Cortellini A, Vaz VR, Lamberti G, Frias RL, Venkatraman D, Fulgenzi CAM, Pecci F, Recondo G, Di Federico A, Barrichello A, Park H, Nishino M, Hambelton GM, Egger JV, Ladanyi M, Digumarthy S, Johnson BE, Christiani DC, Lin X, Gainor JF, Lin JJ, Pinato DJ, Schoenfeld AJ, Awad MM. Clinicopathologic and Genomic Factors Impacting Efficacy of First-Line Chemoimmunotherapy in Advanced NSCLC. J Thorac Oncol 2023; 18:731-743. [PMID: 36775193 PMCID: PMC10500613 DOI: 10.1016/j.jtho.2023.01.091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/17/2023] [Accepted: 01/29/2023] [Indexed: 02/12/2023]
Abstract
INTRODUCTION Although programmed cell death protein 1 and programmed death-ligand 1 (PD-L1) blockade in combination with platinum-doublet chemotherapy has become a mainstay of first-line treatment for advanced NSCLC, factors associated with efficacy of chemoimmunotherapy (CIT) are not well characterized. METHODS In this multicenter retrospective analysis, clinicopathologic and genomic data were collected from patients with advanced NSCLC (lacking sensitizing genomic alterations in EGFR and ALK) and evaluated with clinical outcomes to first-line CIT. RESULTS Among 1285 patients treated with CIT, a worsening performance status and increasing derived neutrophil-to-lymphocyte ratio in the blood were associated with a significantly reduced objective response rate (ORR), median progression-free survival (mPFS), and median overall survival (mOS). With increasing PD-L1 tumor proportion scores of less than 1%, 1% to 49%, 50% to 89%, and greater than or equal to 90%, there was a progressive improvement in ORR (32.7% versus 37.5% versus 51.6% versus 61.7%, p < 0.001), mPFS (5.0 versus 6.1 versus 6.8 versus 13.0 mo, p < 0.001), and generally mOS (12.9 versus 14.6 versus 34.7 versus 23.1 mo, p = 0.009), respectively. Of 789 NSCLCs with comprehensive genomic data, NSCLCs with a tumor mutational burden (TMB) greater than or equal to the 90th percentile had an improved ORR (53.5% versus 36.4%, p = 0.004), mPFS (10.8 versus 5.5 mo, p < 0.001), and mOS (29.2 versus 13.1 mo, p < 0.001), compared with those with a TMB less than the 90th percentile. In all-comers with nonsquamous NSCLC, the presence of an STK11, KEAP1, or SMARCA4 mutation was associated with significantly worse ORR, mPFS, and mOS to CIT (all p < 0.05); this was also observed in the KRAS-mutant subgroup of NSCLCs with co-occurring mutations in STK11, KEAP1, or SMARCA4 (all p < 0.05). In KRAS wild-type NSCLC, KEAP1 and SMARCA4 mutations were associated with a significantly shorter mPFS and mOS to CIT (all p < 0.05), but STK11 mutation status had no significant impact on mPFS (p = 0.16) or mOS (p = 0.38). CONCLUSIONS In advanced NSCLC, better patient performance status, low derived neutrophil-to-lymphocyte ratio, increasing PD-L1 expression, a very high TMB, and STK11/KEAP1/SMARCA4 wild-type status are associated with improved clinical outcomes to first-line CIT.
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Affiliation(s)
- Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Arielle Elkrief
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Alessio Cortellini
- Division of Cancer, Department of Surgery and Cancer, Hammersmith Hospital Campus, Imperial College London, London, United Kingdom; Department of Medical Oncology, University Campus Bio-Medico of Rome, Italy
| | - Victor R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Rosa L Frias
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Deepti Venkatraman
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Claudia A M Fulgenzi
- Division of Cancer, Department of Surgery and Cancer, Hammersmith Hospital Campus, Imperial College London, London, United Kingdom; Department of Medical Oncology, University Campus Bio-Medico of Rome, Italy
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Gonzalo Recondo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Adriana Barrichello
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hyesun Park
- Department of Radiology, Lahey Hospital and Medical Center, Burlington, Massachusetts; Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Grace M Hambelton
- Center for Thoracic Cancers, Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Jacklynn V Egger
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Subba Digumarthy
- Department of Radiology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Bruce E Johnson
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Justin F Gainor
- Center for Thoracic Cancers, Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Jessica J Lin
- Center for Thoracic Cancers, Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - David J Pinato
- Division of Cancer, Department of Surgery and Cancer, Hammersmith Hospital Campus, Imperial College London, London, United Kingdom
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
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Alessi JV, Elkrief A, Ricciuti B, Schoenfeld AJ, Awad MM. Letter to the Editor: Reply to Zhao, Wu, and Ma. J Thorac Oncol 2023; 18:e61-e62. [PMID: 37210184 DOI: 10.1016/j.jtho.2023.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 03/16/2023] [Indexed: 05/22/2023]
Affiliation(s)
- Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Arielle Elkrief
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
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Garon EB, Spira AI, Goldberg SB, Chaft JE, Papadimitrakopoulou V, Cascone T, Antonia SJ, Brahmer JR, Camidge DR, Powderly JD, Wozniak AJ, Felip E, Wu S, Ascierto ML, Elgeioushi N, Awad MM. Brief Report: Safety and Antitumor Activity of Durvalumab Plus Tremelimumab in PD-(L)1-Monotherapy Pretreated, Advanced Non-Small Cell Lung Cancer: Results From a Phase 1b Clinical Trial. J Thorac Oncol 2023:S1556-0864(23)00524-5. [PMID: 37146752 DOI: 10.1016/j.jtho.2023.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 03/31/2023] [Accepted: 04/23/2023] [Indexed: 05/07/2023]
Abstract
INTRODUCTION While first-line immunotherapy approaches are standard, in patients with NSCLC previously treated with PD-1 or PD-L1 (PD-[L]1) inhibitors, the activity of combined CTLA-4 plus PD-L1 inhibition is unknown. This phase 1b study evaluated the safety and efficacy of durvalumab plus tremelimumab in adults with advanced NSCLC who received anti-PD-(L)1 monotherapy as their most recent line of therapy. METHODS Patients with PD-(L)1-relapsed/refractory NSCLC were enrolled between October 25, 2013, and September 17, 2019. Durvalumab 20 mg/kg plus tremelimumab 1 mg/kg was administered intravenously every 4 weeks (Q4W) for 4 doses, followed by 9 doses of durvalumab monotherapy Q4W for 12 months or disease progression. Primary endpoints included safety and objective response rate (ORR) based on RECIST version 1.1 per blinded independent central review (BICR); secondary endpoints were ORR based on RECIST 1.1 per investigator; duration of response, disease control, and PFS based on RECIST v1.1 per BICR and investigator; and OS. RESULTS PD-[L]1-refractory (n=38) and PD[L]1-relapsed (n=40) patients were treated. The most common treatment-related adverse events (TRAEs) were fatigue (26.3%, PD-[L]1-refractory patients) and diarrhea (27.5%, PD-[L]1-relapsed patients). Grade 3-4 TRAEs occurred in 22 patients. Median follow-up duration was 43.6 months for PD-(L)1-refractory patients and 41.2 months for PD-(L)1-relapsed patients. The ORR was 5.3% for PD-(L)1-refractory patients (1 complete response, 1 partial response) and 0% for PD-(L)1-relapsed patients. CONCLUSIONS Durvalumab plus tremelimumab had a manageable safety profile, but the combination did not show efficacy following PD-(L)1 treatment failure.
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Affiliation(s)
- Edward B Garon
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA;.
| | - Alexander I Spira
- Virginia Cancer Specialists Research Institute and NEXT Oncology, Fairfax, VA, USA
| | | | - Jamie E Chaft
- Weill Cornell Medical College and Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | | | - Tina Cascone
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Julie R Brahmer
- Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
| | | | | | | | - Enriqueta Felip
- Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Song Wu
- Oncology Research and Development, AstraZeneca, Gaithersburg, MD, USA
| | - Maria L Ascierto
- Oncology Research and Development, AstraZeneca, Gaithersburg, MD, USA
| | | | - Mark M Awad
- Dana-Farber Cancer Institute, Boston, MA, USA
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25
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Ravi A, Hellmann MD, Arniella MB, Holton M, Freeman SS, Naranbhai V, Stewart C, Leshchiner I, Kim J, Akiyama Y, Griffin AT, Vokes NI, Sakhi M, Kamesan V, Rizvi H, Ricciuti B, Forde PM, Anagnostou V, Riess JW, Gibbons DL, Pennell NA, Velcheti V, Digumarthy SR, Mino-Kenudson M, Califano A, Heymach JV, Herbst RS, Brahmer JR, Schalper KA, Velculescu VE, Henick BS, Rizvi N, Jänne PA, Awad MM, Chow A, Greenbaum BD, Luksza M, Shaw AT, Wolchok J, Hacohen N, Getz G, Gainor JF. Genomic and transcriptomic analysis of checkpoint blockade response in advanced non-small cell lung cancer. Nat Genet 2023; 55:807-819. [PMID: 37024582 PMCID: PMC10181943 DOI: 10.1038/s41588-023-01355-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 02/24/2023] [Indexed: 04/08/2023]
Abstract
Anti-PD-1/PD-L1 agents have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). To expand our understanding of the molecular features underlying response to checkpoint inhibitors in NSCLC, we describe here the first joint analysis of the Stand Up To Cancer-Mark Foundation cohort, a resource of whole exome and/or RNA sequencing from 393 patients with NSCLC treated with anti-PD-(L)1 therapy, along with matched clinical response annotation. We identify a number of associations between molecular features and outcome, including (1) favorable (for example, ATM altered) and unfavorable (for example, TERT amplified) genomic subgroups, (2) a prominent association between expression of inducible components of the immunoproteasome and response and (3) a dedifferentiated tumor-intrinsic subtype with enhanced response to checkpoint blockade. Taken together, results from this cohort demonstrate the complexity of biological determinants underlying immunotherapy outcomes and reinforce the discovery potential of integrative analysis within large, well-curated, cancer-specific cohorts.
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Affiliation(s)
- Arvind Ravi
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Monica B Arniella
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Mark Holton
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Samuel S Freeman
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Vivek Naranbhai
- Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Boston, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
- Center for the AIDS Programme for Research in South Africa, Durban, South Africa
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA
| | - Chip Stewart
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Ignaty Leshchiner
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | | | - Yo Akiyama
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Aaron T Griffin
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Natalie I Vokes
- Department of Thoracic and Head and Neck Oncology, MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, MD Anderson Cancer Center, Houston, TX, USA
| | - Mustafa Sakhi
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA
| | - Vashine Kamesan
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA
| | - Hira Rizvi
- Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Patrick M Forde
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Valsamo Anagnostou
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Don L Gibbons
- Department of Thoracic and Head and Neck Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Nathan A Pennell
- Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland, OH, USA
| | - Vamsidhar Velcheti
- Department of Hematology and Oncology, NYU Langone Health, New York, NY, USA
| | - Subba R Digumarthy
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Mari Mino-Kenudson
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Andrea Califano
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
- J.P. Sulzberger Columbia Genome Center, New York, NY, USA
| | - John V Heymach
- Department of Thoracic and Head and Neck Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Roy S Herbst
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Julie R Brahmer
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kurt A Schalper
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Victor E Velculescu
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brian S Henick
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | | | - Pasi A Jänne
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Andrew Chow
- Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Benjamin D Greenbaum
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Physiology, Biophysics & Systems Biology, Weill Cornell Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Marta Luksza
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alice T Shaw
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA
| | | | - Nir Hacohen
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Boston, MA, USA.
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Boston, MA, USA.
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
| | - Justin F Gainor
- Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Boston, MA, USA.
- Center for Thoracic Cancers, Massachusetts General Hospital, Boston, MA, USA.
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Negrao MV, Araujo HA, Lamberti G, Cooper AJ, Zhou T, Akhave N, Delasos L, Hicks JK, Aldea M, Minuti G, Hines J, Aredo JV, Dennis MJ, Chakrabarti T, Scott S, Bironzo P, Scheffler M, Christopoulos P, Kim SY, Goldberg S, Ni Y, Resuli B, Landi L, Tseng SC, Nishino M, Owen D, Blakely C, Mountzios G, Shu CA, Bestvina C, Garassino M, Marrone K, Gray J, Patel SP, Cummings AL, Wakelee HA, Wolf J, Scagliotti GV, Cappuzzo F, Barlesi F, Patil P, Gibbons DL, Meric-Bernstam F, Lee JJ, Heymach JV, Hong DS, Heist RS, Awad MM, Skoulidis F. Abstract 3431: Molecular determinants of KRAS p.G12C inhibitor efficacy in advanced NSCLC. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-3431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Background: Irreversible allosteric KRAS p.G12C inhibitors (KG12Ci) such as sotorasib and adagrasib have revolutionized the therapeutic landscape of advanced KG12C-mutant NSCLC, however individual responses are heterogeneous and curtailed by innate and adaptive/acquired resistance. Molecular determinants of KG12Ci efficacy in NSCLC are poorly defined. We dissected the impact of major KG12C co-mutations and explored the effects of less prevalent co-alterations on the clinical activity of KG12Ci in the largest treated cohort to date of patients (pts) with advanced NSCLC. Key findings were validated in preclinical KG12C NSCLC models.
Methods: Baseline clinico-genomic features and clinical outcome data from pts with stage IV KG12C NSCLC (ECOG PS 0-2) treated with single-agent KG12Ci were collected retrospectively from 20 centers in the US and Europe. The Kaplan-Meier method was used to estimate PFS and OS and differences were assessed with the log-rank test. Hazard ratios (HR) and their 95% CI were estimated using a Cox proportional hazards model stratified for clinical co-variates. The impact of selected co-alterations on sotorasib efficacy was assessed in syngeneic (C57BL/6) KG12C NSCLC models.
Results: 411 eligible pts were included in the study. Median age was 68 years, 77% of pts had received both platinum-based chemotherapy and PD-(L)1 inhibitors and 35% had brain metastases. 83% of pts received sotorasib. ORR with KG12Ci was 32.4% (95% CI, 27.9-37.1), PFS was 5.1m (95% CI, 4.5-5.6) and OS was 10.2m (95% CI, 8.4-12.1). Co-alterations in KEAP1, SMARCA4 and CDKN2A/B were each associated with significantly shorter PFS (KEAP1: 2.8m vs 5.5m, HR 2.50, P<0.001; SMARCA4: 1.7m vs 5.5m, HR 2.64, P=0.001; CDKN2A/B: 2.3m vs 5.3m, HR 2.57, P<0.001) and OS with KG12Ci even after adjustment for clinical covariates. STK11 co-mutations without concurrent KEAP1 alterations did not impact clinical outcomes with KG12Ci. In an exploratory analysis, co-mutations in DNA damage repair (DDR) genes and genes encoding components of the ATRX/DAXX/EZH2 pathway were associated with improved KG12Ci efficacy, whereas PI3K/AKT/MTOR/PTEN alterations and missense ROS1/ALK/BRAF/NTRK1-3 mutations resulted in inferior outcomes. The impact of SMARCA4 and DDR gene inactivation was validated in isogenic syngeneic KG12CNSCLC models; additional co-alterations are under evaluation. Integration of KEAP1/SMARCA4/CDKN2A/B co-mutations identified a subgroup (KSCMUT, 37.6% of all pts) with significantly shorter PFS (2.7m vs 6.2m, P<0.001) and OS (6.3m vs 14.6m, P<0.001) that accounted for 57.3% of pts with primary refractory (PFS≤3m) disease.
Conclusions: Co-mutations in KEAP1, SMARCA4 and CDKN2A/2B define subgroups of KG12C NSCLC pts with markedly distinct outcomes with KG12Ci monotherapy. Tailoring of KG12C inhibitor-anchored therapeutic strategies and patient stratification should take into account the co-mutation status of individual tumors.
Citation Format: Marcelo V. Negrao, Haniel A. Araujo, Giuseppe Lamberti, Alissa J. Cooper, Teng Zhou, Neal Akhave, Lukas Delasos, J Kevin Hicks, Mihaela Aldea, Gabriele Minuti, Jacobi Hines, Jacqueline V. Aredo, Michael J. Dennis, Turja Chakrabarti, Susan Scott, Paolo Bironzo, Matthias Scheffler, Petros Christopoulos, So Yeon Kim, Sarah Goldberg, Ying Ni, Blerina Resuli, Lorenza Landi, Shu-Chi Tseng, Mizuki Nishino, Dwight Owen, Collin Blakely, Giannis Mountzios, Catherine A. Shu, Christine Bestvina, Marina Garassino, Kristen Marrone, Jhanelle Gray, Sandip Pravin Patel, Amy L. Cummings, Heather A. Wakelee, Jurgen Wolf, Giorgio V. Scagliotti, Federico Cappuzzo, Fabrice Barlesi, Pradnya Patil, Don L. Gibbons, Funda Meric-Bernstam, J Jack Lee, John V. Heymach, David S. Hong, Rebecca S. Heist, Mark M. Awad, Ferdinandos Skoulidis. Molecular determinants of KRAS p.G12C inhibitor efficacy in advanced NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3431.
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Affiliation(s)
| | | | - Giuseppe Lamberti
- 2Lowe Center for Thoracic Oncology del Dana-Farber Cancer Institute - Harvard Medical School Cancer Center of Boston, Boston, MA
| | - Alissa J. Cooper
- 3Harvard Medical School - Massachusetts General Hospital, Boston, MA
| | - Teng Zhou
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | | | | | | | - Susan Scott
- 12Johns Hopkins University School of Medicine, Baltimore, MD
| | - Paolo Bironzo
- 13University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy
| | | | | | | | | | - Ying Ni
- 4Cleveland Clinic Cancer Center, Cleveland, OH
| | | | - Lorenza Landi
- 7IRCCS Instituti Fisioterapici Ospitalieri, Rome, Italy
| | | | | | - Dwight Owen
- 19Ohio State University - Wexher Medical Center, Columbus, OH
| | - Collin Blakely
- 11University of California San Francisco, San Francisco, CA
| | | | | | | | | | - Kristen Marrone
- 22Johns Hopkins University School of Medicine - Bayview, Baltimore, MD
| | | | | | | | | | - Jurgen Wolf
- 14University Hospital of Cologne, Cologne, Germany
| | | | | | | | | | | | | | - J Jack Lee
- 1UT MD Anderson Cancer Center, Houston, TX
| | | | | | - Rebecca S. Heist
- 3Harvard Medical School - Massachusetts General Hospital, Boston, MA
| | - Mark M. Awad
- 2Lowe Center for Thoracic Oncology del Dana-Farber Cancer Institute - Harvard Medical School Cancer Center of Boston, Boston, MA
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27
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Ricciuti B, Wang X, Awad MM. Increased Tumor Mutation Burden Levels and Sensitivity of Non-Small Cell Lung Cancer to PD-L1 Blockade-Reply. JAMA Oncol 2023; 9:570-571. [PMID: 36729462 PMCID: PMC11009943 DOI: 10.1001/jamaoncol.2022.7589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xinan Wang
- Harvard School of Public Health, Boston, Massachusetts
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
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Scalera S, Ricciuti B, Mazzotta M, Calonaci N, Alessi JV, Cipriani L, Bon G, Messina B, Lamberti G, Di Federico A, Pecci F, Milite S, Krasniqi E, Barba M, Vici P, Vecchione A, De Nicola F, Ciuffreda L, Goeman F, Fanciulli M, Buglioni S, Pescarmona E, Sharma B, Felt KD, Lindsay J, Rodig SJ, De Maria R, Caravagna G, Cappuzzo F, Ciliberto G, Awad MM, Maugeri-Saccà M. Clonal KEAP1 mutations with loss of heterozygosity share reduced immunotherapy efficacy and low immune cell infiltration in lung adenocarcinoma. Ann Oncol 2023; 34:275-288. [PMID: 36526124 DOI: 10.1016/j.annonc.2022.12.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/26/2022] [Accepted: 12/06/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND KEAP1 mutations have been associated with reduced survival in lung adenocarcinoma (LUAD) patients treated with immune checkpoint inhibitors (ICIs), particularly in the presence of STK11/KRAS alterations. We hypothesized that, beyond co-occurring genomic events, clonality prediction may help identify deleterious KEAP1 mutations and their counterparts with retained sensitivity to ICIs. PATIENTS AND METHODS Beta-binomial modelling of sequencing read counts was used to infer KEAP1 clonal inactivation by combined somatic mutation and loss of heterozygosity (KEAP1 C-LOH) versus partial inactivation [KEAP1 clonal diploid-subclonal (KEAP1 CD-SC)] in the Memorial Sloan Kettering Cancer Center (MSK) MetTropism cohort (N = 2550). Clonality/LOH prediction was compared to a streamlined clinical classifier that relies on variant allele frequencies (VAFs) and tumor purity (TP) (VAF/TP ratio). The impact of this classification on survival outcomes was tested in two independent cohorts of LUAD patients treated with immunotherapy (MSK/Rome N = 237; DFCI N = 461). Immune-related features were studied by exploiting RNA-sequencing data (TCGA) and multiplexed immunofluorescence (DFCI mIF cohort). RESULTS Clonality/LOH inference in the MSK MetTropism cohort overlapped with a clinical classification model defined by the VAF/TP ratio. In the ICI-treated MSK/Rome discovery cohort, predicted KEAP1 C-LOH mutations were associated with shorter progression-free survival (PFS) and overall survival (OS) compared to KEAP1 wild-type cases (PFS log-rank P = 0.001; OS log-rank P < 0.001). Similar results were obtained in the DFCI validation cohort (PFS log-rank P = 0.006; OS log-rank P = 0.014). In both cohorts, we did not observe any significant difference in survival outcomes when comparing KEAP1 CD-SC and wild-type tumors. Immune deconvolution and multiplexed immunofluorescence revealed that KEAP1 C-LOH and KEAP1 CD-SC differed for immune-related features. CONCLUSIONS KEAP1 C-LOH mutations are associated with an immune-excluded phenotype and worse clinical outcomes among advanced LUAD patients treated with ICIs. By contrast, survival outcomes of patients whose tumors harbored KEAP1 CD-SC mutations were similar to those with KEAP1 wild-type LUADs.
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Affiliation(s)
- S Scalera
- SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - B Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - M Mazzotta
- Medical Oncology Unit, Sandro Pertini Hospital, Rome, Italy
| | - N Calonaci
- Department of Mathematics and Geosciences, University of Trieste, Trieste, Italy
| | - J V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - L Cipriani
- SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - G Bon
- Cellular Network and Molecular Therapeutic Target Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - B Messina
- Clinical Trial Center, Biostatistics and Bioinformatics Division, IRCCS Regina Elena National Cancer Institute, Roma, Italy
| | - G Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - A Di Federico
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - F Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - S Milite
- Department of Mathematics and Geosciences, University of Trieste, Trieste, Italy
| | - E Krasniqi
- Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - M Barba
- Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - P Vici
- UOSD Phase IV Studies, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - A Vecchione
- Department of Clinical and Molecular Medicine, Pathology Unit, Sant'Andrea Hospital, Sapienza University, Rome, Italy
| | - F De Nicola
- SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - L Ciuffreda
- SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - F Goeman
- SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - M Fanciulli
- SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - S Buglioni
- Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - E Pescarmona
- Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - B Sharma
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, USA
| | - K D Felt
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, USA
| | - J Lindsay
- Knowledge Systems Group, Dana-Farber Cancer Institute, Boston, USA
| | - S J Rodig
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, USA; Department of Pathology, Brigham and Women's Hospital, Boston, USA
| | - R De Maria
- Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy; Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - G Caravagna
- Department of Mathematics and Geosciences, University of Trieste, Trieste, Italy
| | - F Cappuzzo
- Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - G Ciliberto
- Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - M M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - M Maugeri-Saccà
- Clinical Trial Center, Biostatistics and Bioinformatics Division, IRCCS Regina Elena National Cancer Institute, Roma, Italy; Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
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Ricciuti B, Awad MM. Atezolizumab Plus Bevacizumab in TMB-High Non-Small Cell Lung Cancers-The Hunt for Predictive Biomarkers to Optimize Treatment Selection. JAMA Oncol 2023; 9:353-354. [PMID: 36520420 DOI: 10.1001/jamaoncol.2022.5801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
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Nishino M, Wei Z, Mazzola E, Hino T, Tseng SC, Sanchez ME, Hatabu H, Johnson BE, Awad MM. Tumor Volume Nadir in Patients With ALK-Rearranged Non-Small-Cell Lung Cancer Treated With Alectinib. JCO Precis Oncol 2023; 7:e2200603. [PMID: 36893377 DOI: 10.1200/po.22.00603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023] Open
Abstract
PURPOSE Patients with oncogene-driven advanced non-small-cell lung cancer (NSCLC) treated with effective targeted therapy demonstrate characteristic tumor volume dynamics with initial response, nadir, and subsequent regrowth. This study investigated tumor volume nadir and time to nadir in patients with ALK-rearranged advanced NSCLC treated with alectinib. MATERIALS AND METHODS In patients with advanced ALK-rearranged NSCLC treated with alectinib monotherapy, tumor volume dynamics were evaluated on serial computed tomography (CT) scans using a previously validated CT tumor measurement technique. A linear regression model was built to predict tumor volume nadir. Time-to-event analyses were performed to evaluate time to nadir. RESULTS Among 45 patients who experienced initial volume decrease, 37 patients (25 with tumor regrowth and 12 without regrowth but >6 months follow-up) were studied for nadir volume (Vp). The linear model to predict tumor volume nadir was built using the baseline tumor volume (V0): V0-Vp = .696 × V0 + 5,326 (P < 2 × 10-16; adjusted R2 = 0.86). The percent volume changes at nadir (median, -90.9%, mean, -85.3%) showed larger decrease in patients who were treated with alectinib as first-line therapy than in the ≥2nd-line group and were independent of V0 and clinical variables. Time to nadir had a median of 11.5 months and was longer in the first-line group (P = .04). CONCLUSION The tumor nadir volume in patients with ALK-rearranged advanced NSCLC treated with alectinib can be predicted by the liner regression model and consists of approximately 30% of the baseline volume minus 5 cm3, providing additional insights into precision therapy monitoring and potential guides for local ablative therapy to prolong disease control.
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Affiliation(s)
- Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
| | - Zihan Wei
- Department of Data Science, Dana-Farber Cancer Institute, Boston MA
| | - Emanuele Mazzola
- Department of Data Science, Dana-Farber Cancer Institute, Boston MA
| | - Takuya Hino
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
| | - Shu-Chi Tseng
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA.,Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan, Taiwan
| | - Michelle E Sanchez
- Department of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Hiroto Hatabu
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
| | - Bruce E Johnson
- Department of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Mark M Awad
- Department of Medical Oncology and Department of Medicine, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
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31
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Forde PM, Spicer J, Lu S, Provencio M, Mitsudomi T, Awad MM, Felip E, Broderick SR, Brahmer JR, Swanson SJ, Kerr K, Wang C, Ciuleanu TE, Saylors GB, Tanaka F, Ito H, Chen KN, Liberman M, Vokes EE, Taube JM, Dorange C, Cai J, Fiore J, Jarkowski A, Balli D, Sausen M, Pandya D, Calvet CY, Girard N. Plain language summary of the CheckMate 816 study results: nivolumab plus chemotherapy given before surgery for non-small-cell lung cancer. Future Oncol 2023; 19:549-557. [PMID: 36815433 DOI: 10.2217/fon-2023-0007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
WHAT IS THIS SUMMARY ABOUT? In this article, we summarize results from the ongoing phase 3 CheckMate 816 clinical study that were published in The New England Journal of Medicine in 2022. The goal of CheckMate 816 was to find out if nivolumab, an immunotherapy that activates a person's immune system (the body's natural defense system) to fight cancer, plus chemotherapy works better than chemotherapy alone when given before surgery in people with non-small-cell lung cancer (NSCLC) that can be removed surgically (resectable NSCLC). WHAT HAPPENED IN THE STUDY? Adults who had not previously taken medications to treat NSCLC and whose cancer could be removed with surgery were included in CheckMate 816. During this study, a computer randomly assigned the treatment each person would receive before surgery for NSCLC. In total, 179 people were randomly assigned to receive nivolumab plus chemotherapy, and 179 people were randomly assigned to receive chemotherapy alone. The researchers assessed whether people who received nivolumab plus chemotherapy lived longer without the cancer geting worse or coming back and whether there were any cancer cells left in the tumor and lymph nodes removed by surgery. The researchers also assessed how adding nivolumab to chemotherapy affected the timing and outcomes of surgery and whether the combination of these drugs was safe. WHAT WERE THE RESULTS? Researchers found that people who took nivolumab plus chemotherapy lived longer without the cancer getting worse or coming back compared with those who took chemotherapy alone. More people in the nivolumab plus chemotherapy group had no cancer cells left in the tumor and lymph nodes removed by surgery. Most people went on to have surgery in both treatment groups; the people who took nivolumab plus chemotherapy instead of chemotherapy alone had less extensive surgeries and were more likely to have good outcomes after less extensive surgeries. Adding nivolumab to chemotherapy did not lead to an increase in the rate of side effects compared with chemotherapy alone, and side effects were generally mild and manageable. WHAT DO THE RESULTS OF THE STUDY MEAN? Results from CheckMate 816 support the benefit of using nivolumab plus chemotherapy before surgery for people with resectable NSCLC. Clinical Trial Registration: NCT02998528 (ClinicalTrials.gov).
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Affiliation(s)
- Patrick M Forde
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Kimmel Cancer Center, Baltimore, MD, USA
| | | | - Shun Lu
- Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | | | - Tetsuya Mitsudomi
- Kindai University Faculty of Medicine, Ohno-Higashi, Osaka-Sayama, Osaka, Japan
| | - Mark M Awad
- Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Stephen R Broderick
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Kimmel Cancer Center, Baltimore, MD, USA
| | - Julie R Brahmer
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Kimmel Cancer Center, Baltimore, MD, USA
| | | | - Keith Kerr
- Aberdeen Royal Infirmary, Aberdeen, United Kingdom
| | - Changli Wang
- Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China
| | - Tudor-Eliade Ciuleanu
- Institutul Oncologic Prof. Dr. Ion Chiricuta & Universitatea de Medicina si Farmacie Iuliu Hatieganu, Cluj-Napoca, Romania
| | | | - Fumihiro Tanaka
- University of Occupational & Environmental Health, Kitakyushu, Japan
| | | | - Ke Neng Chen
- Peking University School of Oncology, Beijing Cancer Hospital, Beijing, China
| | - Moishe Liberman
- Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada
| | | | - Janis M Taube
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Kimmel Cancer Center, Baltimore, MD, USA
| | | | | | | | | | | | | | | | | | - Nicolas Girard
- Institut du Thorax Curie-Montsouris, Institut Curie, Paris, France
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32
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Lamberti G, Aizer A, Ricciuti B, Alessi JV, Pecci F, Tseng SC, Sholl LM, Nishino M, Awad MM. Incidence of Brain Metastases and Preliminary Evidence of Intracranial Activity With Sotorasib in Patients With KRASG12C-Mutant Non-Small-Cell Lung Cancer. JCO Precis Oncol 2023; 7:e2200621. [PMID: 36809054 DOI: 10.1200/po.22.00621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023] Open
Affiliation(s)
- Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Ayal Aizer
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Joao V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Federica Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Shu-Chi Tseng
- Department of Radiology, Brigham and Women's Hospital, Boston, MA.,Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan, Taiwan
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Mark M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
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Hsu H, Aggarwal S, Balan A, Ricciuti B, Egger JV, LeNoue-Newton M, Holt ME, Lee J, Chia VM, Chan E, Rehn M, Wang X, Lovly CM, Riely GJ, Awad MM, Anagnostou V. Real-world clinicopathological and molecular characteristics, treatment patterns, and outcomes in patients with KRAS G12C–mutated metastatic colorectal cancer in AACR Project GENIE. J Clin Oncol 2023. [DOI: 10.1200/jco.2023.41.4_suppl.41] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
41 Background: KRAS mutation accounts for ~37% of colorectal cancer (CRC), with KRAS G12C occurring in ~3% of CRC tumors. KRAS G12C mutation is associated with poorer prognosis in terms of real-world progression-free survival (rwPFS) and overall survival (OS) compared to other KRAS mutations and KRAS wild-type. As KRAS G12C mutated metastatic CRC (mCRC) is recognized as a discrete potentially druggable target, there is a need to further describe this patient population. This retrospective cohort study provides real-world clinicopathological and molecular characteristics, treatment patterns, and outcomes (OS, rwPFS) in patients with KRAS G12C mutated mCRC. Methods: Adult (≥18 years old) patients diagnosed between 01 January 2009 and 01 February 2019 with KRAS G12C mutated mCRC were assessed from three US academic centers in AACR Project GENIE: Dana-Farber Cancer Institute, Memorial Sloan Kettering Cancer Center, and Vanderbilt-Ingram Cancer Center. Patient characteristics and treatment patterns were reported, and median OS and rwPFS by line of therapy (LOT) were estimated with the Kaplan-Meier method, including exploratory analyses by co-mutation profile. Results: Among 71 mCRC patients, median age at initial diagnosis was 52.1 years, 59% were women, 83% were White, and 68% had initial stage 4 disease. Co-mutations with an oncogenic, likely oncogenic, or predicted oncogenic OncoKB annotation were assessed, and the most commonly observed were APC in 79% of patients, TP53 in 63%, and PIK3CA in 20%. Only 8% of patients had high tumor mutational burden (>10 mut/Mb), and no patients had microsatellite instability-high among those measured (n=48). Most patients (71%) had evidence of surgical resection in the metastatic setting. Nearly all (93%) patients had received systemic therapy: 15 (23%) had only one LOT, 20 (30%) had only two LOTs, and 31 (47%) had three or more. Most patients received oxaliplatin- or irinotecan-based regimens in the first two LOTs. Median OS from the start of first LOT was 33.5 months (95% CI: 26.9, 37.1), 20.7 months (95% CI: 6.4, 23.2) from start of second LOT, and 15.8 months (95% CI: 3.1, 23.4) from start of third LOT. Median rwPFS from start of first LOT was 20.9 months (95% CI: 8.4, 32.0), 4.0 months (95% CI: 2.2, 9.7) from start of second LOT, and 3.1 months (95% CI: 1.1, 7.2) from start of third LOT. Patients with FBXW7 co-mutation had shorter OS and patients with PIK3CA co-mutation had longer rwPFS, compared to those with KRAS G12C alone. Conclusions: In this select patient cohort with KRAS G12C mutated mCRC from US academic centers, outcomes, particularly rwPFS, were poor in later lines of therapy. Frontline OS and rwPFS were longer than in other similar studies, which may be attributable to the young median age and high proportion of surgical resection in the metastatic setting observed in this cohort.
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Affiliation(s)
- Hil Hsu
- Center for Observational Research, Amgen Inc., Thousand Oaks, CA
| | - Shivani Aggarwal
- Center for Observational Research, Amgen Inc., Thousand Oaks, CA
| | | | | | | | | | | | - Jocelyn Lee
- American Association for Cancer Research, Philadelphia, PA
| | - Victoria M. Chia
- Center for Observational Research, Amgen Inc., Thousand Oaks, CA
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Rakaee M, Adib E, Ricciuti B, Sholl LM, Shi W, Alessi JV, Cortellini A, Fulgenzi CAM, Viola P, Pinato DJ, Hashemi S, Bahce I, Houda I, Ulas EB, Radonic T, Väyrynen JP, Richardsen E, Jamaly S, Andersen S, Donnem T, Awad MM, Kwiatkowski DJ. Association of Machine Learning-Based Assessment of Tumor-Infiltrating Lymphocytes on Standard Histologic Images With Outcomes of Immunotherapy in Patients With NSCLC. JAMA Oncol 2023; 9:51-60. [PMID: 36394839 PMCID: PMC9673028 DOI: 10.1001/jamaoncol.2022.4933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 08/10/2022] [Indexed: 11/18/2022]
Abstract
Importance Currently, predictive biomarkers for response to immune checkpoint inhibitor (ICI) therapy in lung cancer are limited. Identifying such biomarkers would be useful to refine patient selection and guide precision therapy. Objective To develop a machine-learning (ML)-based tumor-infiltrating lymphocytes (TILs) scoring approach, and to evaluate TIL association with clinical outcomes in patients with advanced non-small cell lung cancer (NSCLC). Design, Setting, and Participants This multicenter retrospective discovery-validation cohort study included 685 ICI-treated patients with NSCLC with median follow-up of 38.1 and 43.3 months for the discovery (n = 446) and validation (n = 239) cohorts, respectively. Patients were treated between February 2014 and September 2021. We developed an ML automated method to count tumor, stroma, and TIL cells in whole-slide hematoxylin-eosin-stained images of NSCLC tumors. Tumor mutational burden (TMB) and programmed death ligand-1 (PD-L1) expression were assessed separately, and clinical response to ICI therapy was determined by medical record review. Data analysis was performed from June 2021 to April 2022. Exposures All patients received anti-PD-(L)1 monotherapy. Main Outcomes and Measures Objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were determined by blinded medical record review. The area under curve (AUC) of TIL levels, TMB, and PD-L1 in predicting ICI response were calculated using ORR. Results Overall, there were 248 (56%) women in the discovery cohort and 97 (41%) in the validation cohort. In a multivariable analysis, high TIL level (≥250 cells/mm2) was independently associated with ICI response in both the discovery (PFS: HR, 0.71; P = .006; OS: HR, 0.74; P = .03) and validation (PFS: HR = 0.80; P = .01; OS: HR = 0.75; P = .001) cohorts. Survival benefit was seen in both first- and subsequent-line ICI treatments in patients with NSCLC. In the discovery cohort, the combined models of TILs/PD-L1 or TMB/PD-L1 had additional specificity in differentiating ICI responders compared with PD-L1 alone. In the PD-L1 negative (<1%) subgroup, TIL levels had superior classification accuracy for ICI response (AUC = 0.77) compared with TMB (AUC = 0.65). Conclusions and Relevance In these cohorts, TIL levels were robustly and independently associated with response to ICI treatment. Patient TIL assessment is relatively easily incorporated into the workflow of pathology laboratories at minimal additional cost, and may enhance precision therapy.
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Affiliation(s)
- Mehrdad Rakaee
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway
- Department of Clinical Pathology, University Hospital of North Norway, Tromso, Norway
| | - Elio Adib
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Lynette M. Sholl
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Weiwei Shi
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Joao V. Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Alessio Cortellini
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Claudia A. M. Fulgenzi
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
- Department of Medical Oncology, University Campus Bio-Medico, Rome, Italy
| | - Patrizia Viola
- Department of Cellular Pathology, Imperial College London NHS Trust, London, United Kingdom
| | - David J. Pinato
- Department of Surgery and Cancer, Imperial College London, London, United Kingdom
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Sayed Hashemi
- Department of Pulmonology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Idris Bahce
- Department of Pulmonology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Ilias Houda
- Department of Pulmonology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Ezgi B. Ulas
- Department of Pulmonology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Teodora Radonic
- Department of Pathology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Juha P. Väyrynen
- Cancer and Translational Medicine Research Unit, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Elin Richardsen
- Department of Clinical Pathology, University Hospital of North Norway, Tromso, Norway
| | - Simin Jamaly
- Department of Medical Biology, UiT The Arctic University of Norway, Tromso, Norway
| | - Sigve Andersen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway
- Department of Oncology, University Hospital of North Norway, Tromso, Norway
| | - Tom Donnem
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway
- Department of Oncology, University Hospital of North Norway, Tromso, Norway
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - David J. Kwiatkowski
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
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Groha S, Alaiwi SA, Xu W, Naranbhai V, Nassar AH, Bakouny Z, El Zarif T, Saliby RM, Wan G, Rajeh A, Adib E, Nuzzo PV, Schmidt AL, Labaki C, Ricciuti B, Alessi JV, Braun DA, Shukla SA, Keenan TE, Van Allen E, Awad MM, Manos M, Rahma O, Zubiri L, Villani AC, Fairfax B, Hammer C, Khan Z, Reynolds K, Semenov Y, Schrag D, Kehl KL, Freedman ML, Choueiri TK, Gusev A. Germline variants associated with toxicity to immune checkpoint blockade. Nat Med 2022; 28:2584-2591. [PMID: 36526723 PMCID: PMC10958775 DOI: 10.1038/s41591-022-02094-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 10/18/2022] [Indexed: 12/23/2022]
Abstract
Immune checkpoint inhibitors (ICIs) have yielded remarkable responses but often lead to immune-related adverse events (irAEs). Although germline causes for irAEs have been hypothesized, no individual variant associated with developing irAEs has been identified. We carried out a genome-wide association study of 1,751 patients on ICIs across 12 cancer types. We investigated two irAE phenotypes: (1) high-grade (3-5) and (2) all-grade events. We identified 3 genome-wide significant associations (P < 5 × 10-8) in the discovery cohort associated with all-grade irAEs: rs16906115 near IL7 (combined P = 3.6 × 10-11; hazard ratio (HR) = 2.1); rs75824728 near IL22RA1 (combined P = 3.5 × 10-8; HR = 1.8); and rs113861051 on 4p15 (combined P = 1.2 × 10-8, HR = 2.0); rs16906115 was replicated in 3 independent studies. The association near IL7 colocalized with the gain of a new cryptic exon for IL7, a critical regulator of lymphocyte homeostasis. Patients carrying the IL7 germline variant exhibited significantly increased lymphocyte stability after ICI initiation, which was itself predictive of downstream irAEs and improved survival.
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Affiliation(s)
- Stefan Groha
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Wenxin Xu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Vivek Naranbhai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Amin H Nassar
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ziad Bakouny
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Talal El Zarif
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Renee Maria Saliby
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Guihong Wan
- Harvard Medical School, Boston, MA, USA
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - Ahmad Rajeh
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - Elio Adib
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Pier V Nuzzo
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Internal Medicine and Medical Specialties, School of Medicine, University of Genoa, Genoa, Italy
| | - Andrew L Schmidt
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Chris Labaki
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Joao Victor Alessi
- Department of Internal Medicine and Medical Specialties, School of Medicine, University of Genoa, Genoa, Italy
| | - David A Braun
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Sachet A Shukla
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tanya E Keenan
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Eliezer Van Allen
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mark M Awad
- Department of Internal Medicine and Medical Specialties, School of Medicine, University of Genoa, Genoa, Italy
| | - Michael Manos
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Osama Rahma
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Alexandra-Chloe Villani
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Zia Khan
- Genentech, South San Francisco, CA, USA
| | - Kerry Reynolds
- Harvard Medical School, Boston, MA, USA
- Division of Medical Oncology, Bartlett, Massachusetts General Hospital, Boston, MA, USA
| | - Yevgeniy Semenov
- Harvard Medical School, Boston, MA, USA
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - Deborah Schrag
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kenneth L Kehl
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew L Freedman
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Toni K Choueiri
- Harvard Medical School, Boston, MA, USA
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Alexander Gusev
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Broad Institute of Harvard & MIT, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.
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36
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Park H, Tseng SC, Sholl LM, Hatabu H, Awad MM, Nishino M. Molecular Characterization and Therapeutic Approaches to Small Cell Lung Cancer: Imaging Implications. Radiology 2022; 305:512-525. [PMID: 36283111 PMCID: PMC9713457 DOI: 10.1148/radiol.220585] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 06/10/2022] [Accepted: 06/14/2022] [Indexed: 01/16/2023]
Abstract
Small cell lung cancer (SCLC) is a highly aggressive malignancy with exceptionally poor prognosis, comprising approximately 15% of lung cancers. Emerging knowledge of the molecular and genomic landscape of SCLC and recent successful clinical applications of new systemic agents have allowed for precision oncology treatment approaches. Imaging is essential for the diagnosis, staging, and treatment monitoring of patients with SCLC. The role of imaging is increasing with the approval of new treatment agents, including immune checkpoint inhibitors, which lead to novel imaging manifestations of response and toxicities. The purpose of this state-of-the-art review is to provide the reader with the latest information about SCLC, focusing on the subtyping of this malignancy (molecular characterization) and the emerging systemic therapeutic approaches and their implications for imaging. The review will also discuss the future directions of SCLC imaging, radiomics and machine learning.
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Affiliation(s)
- Hyesun Park
- From the Departments of Radiology (H.P., S.C.T., H.H., M.N.),
Pathology (L.M.S.), Medical Oncology (M.M.A.), and Medicine (M.M.A.),
Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450
Brookline Ave, Boston, MA 02215
| | | | - Lynette M. Sholl
- From the Departments of Radiology (H.P., S.C.T., H.H., M.N.),
Pathology (L.M.S.), Medical Oncology (M.M.A.), and Medicine (M.M.A.),
Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450
Brookline Ave, Boston, MA 02215
| | - Hiroto Hatabu
- From the Departments of Radiology (H.P., S.C.T., H.H., M.N.),
Pathology (L.M.S.), Medical Oncology (M.M.A.), and Medicine (M.M.A.),
Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450
Brookline Ave, Boston, MA 02215
| | - Mark M. Awad
- From the Departments of Radiology (H.P., S.C.T., H.H., M.N.),
Pathology (L.M.S.), Medical Oncology (M.M.A.), and Medicine (M.M.A.),
Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450
Brookline Ave, Boston, MA 02215
| | - Mizuki Nishino
- From the Departments of Radiology (H.P., S.C.T., H.H., M.N.),
Pathology (L.M.S.), Medical Oncology (M.M.A.), and Medicine (M.M.A.),
Dana-Farber Cancer Institute and Brigham and Women's Hospital, 450
Brookline Ave, Boston, MA 02215
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37
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Scharpf RB, Balan A, Ricciuti B, Fiksel J, Cherry C, Wang C, Lenoue-Newton ML, Rizvi HA, White JR, Baras AS, Anaya J, Landon BV, Majcherska-Agrawal M, Ghanem P, Lee J, Raskin L, Park AS, Tu H, Hsu H, Arbour KC, Awad MM, Riely GJ, Lovly CM, Anagnostou V. Genomic Landscapes and Hallmarks of Mutant RAS in Human Cancers. Cancer Res 2022; 82:4058-4078. [PMID: 36074020 PMCID: PMC9627127 DOI: 10.1158/0008-5472.can-22-1731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 08/12/2022] [Accepted: 09/01/2022] [Indexed: 01/07/2023]
Abstract
The RAS family of small GTPases represents the most commonly activated oncogenes in human cancers. To better understand the prevalence of somatic RAS mutations and the compendium of genes that are coaltered in RAS-mutant tumors, we analyzed targeted next-generation sequencing data of 607,863 mutations from 66,372 tumors in 51 cancer types in the AACR Project GENIE Registry. Bayesian hierarchical models were implemented to estimate the cancer-specific prevalence of RAS and non-RAS somatic mutations, to evaluate co-occurrence and mutual exclusivity, and to model the effects of tumor mutation burden and mutational signatures on comutation patterns. These analyses revealed differential RAS prevalence and comutations with non-RAS genes in a cancer lineage-dependent and context-dependent manner, with differences across age, sex, and ethnic groups. Allele-specific RAS co-mutational patterns included an enrichment in NTRK3 and chromatin-regulating gene mutations in KRAS G12C-mutant non-small cell lung cancer. Integrated multiomic analyses of 10,217 tumors from The Cancer Genome Atlas (TCGA) revealed distinct genotype-driven gene expression programs pointing to differential recruitment of cancer hallmarks as well as phenotypic differences and immune surveillance states in the tumor microenvironment of RAS-mutant tumors. The distinct genomic tracks discovered in RAS-mutant tumors reflected differential clinical outcomes in TCGA cohort and in an independent cohort of patients with KRAS G12C-mutant non-small cell lung cancer that received immunotherapy-containing regimens. The RAS genetic architecture points to cancer lineage-specific therapeutic vulnerabilities that can be leveraged for rationally combining RAS-mutant allele-directed therapies with targeted therapies and immunotherapy. SIGNIFICANCE The complex genomic landscape of RAS-mutant tumors is reflective of selection processes in a cancer lineage-specific and context-dependent manner, highlighting differential therapeutic vulnerabilities that can be clinically translated.
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Affiliation(s)
- Robert B. Scharpf
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Archana Balan
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Biagio Ricciuti
- Department of Medicine, Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jacob Fiksel
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Christopher Cherry
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Chenguang Wang
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michele L. Lenoue-Newton
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Hira A. Rizvi
- Department of Medicine, Collaborative Research Centers, Memorial Sloan Kettering Cancer Center, New York, New York
| | - James R. White
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Alexander S. Baras
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jordan Anaya
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Blair V. Landon
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Marta Majcherska-Agrawal
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Paola Ghanem
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jocelyn Lee
- AACR Project GENIE, American Association for Cancer Research, Pennsylvania
| | - Leon Raskin
- Center for Observational Research, Amgen Inc., Thousand Oaks, California
| | - Andrew S. Park
- Center for Observational Research, Amgen Inc., Thousand Oaks, California
| | - Huakang Tu
- Center for Observational Research, Amgen Inc., Thousand Oaks, California
| | - Hil Hsu
- Center for Observational Research, Amgen Inc., Thousand Oaks, California
| | - Kathryn C. Arbour
- Department of Medicine, Division of Clinical Research, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M. Awad
- Department of Medicine, Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Gregory J. Riely
- Department of Medicine, Division of Clinical Research, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Christine M. Lovly
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Valsamo Anagnostou
- Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
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38
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Ricciuti B, Alessi JV, Elkrief A, Wang X, Cortellini A, Li YY, Vaz VR, Gupta H, Pecci F, Barrichello A, Lamberti G, Nguyen T, Lindsay J, Sharma B, Felt K, Rodig SJ, Nishino M, Sholl LM, Barbie DA, Negrao MV, Zhang J, Cherniack AD, Heymach JV, Meyerson M, Ambrogio C, Jänne PA, Arbour KC, Pinato DJ, Skoulidis F, Schoenfeld AJ, Awad MM, Luo J. Dissecting the clinicopathologic, genomic, and immunophenotypic correlates of KRAS G12D-mutated non-small-cell lung cancer. Ann Oncol 2022; 33:1029-1040. [PMID: 35872166 PMCID: PMC11006449 DOI: 10.1016/j.annonc.2022.07.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 07/10/2022] [Accepted: 07/14/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Allele-specific KRAS inhibitors are an emerging class of cancer therapies. KRAS-mutant (KRASMUT) non-small-cell lung cancers (NSCLCs) exhibit heterogeneous outcomes, driven by differences in underlying biology shaped by co-mutations. In contrast to KRASG12C NSCLC, KRASG12D NSCLC is associated with low/never-smoking status and is largely uncharacterized. PATIENTS AND METHODS Clinicopathologic and genomic information were collected from patients with NSCLCs harboring a KRAS mutation at the Dana-Farber Cancer Institute (DFCI), Memorial Sloan Kettering Cancer Center, MD Anderson Cancer Center, and Imperial College of London. Multiplexed immunofluorescence for CK7, programmed cell death protein 1 (PD-1), programmed death-ligand 1 (PD-L1), Foxp3, and CD8 was carried out on a subset of samples with available tissue at the DFCI. Clinical outcomes to PD-(L)1 inhibition ± chemotherapy were analyzed according to KRAS mutation subtype. RESULTS Of 2327 patients with KRAS-mutated (KRASMUT) NSCLC, 15% (n = 354) harbored KRASG12D. Compared to KRASnon-G12D NSCLC, KRASG12D NSCLC had a lower pack-year (py) smoking history (median 22.5 py versus 30.0 py, P < 0.0001) and was enriched in never smokers (22% versus 5%, P < 0.0001). KRASG12D had lower PD-L1 tumor proportion score (TPS) (median 1% versus 5%, P < 0.01) and lower tumor mutation burden (TMB) compared to KRASnon-G12D (median 8.4 versus 9.9 mt/Mb, P < 0.0001). Of the samples which underwent multiplexed immunofluorescence, KRASG12D had lower intratumoral and total CD8+PD1+ T cells (P < 0.05). Among 850 patients with advanced KRASMUT NSCLC who received PD-(L)1-based therapies, KRASG12D was associated with a worse objective response rate (ORR) (15.8% versus 28.4%, P = 0.03), progression-free survival (PFS) [hazard ratio (HR) 1.51, 95% confidence interval (CI) 1.45-2.00, P = 0.003], and overall survival (OS; HR 1.45, 1.05-1.99, P = 0.02) to PD-(L)1 inhibition alone but not to chemo-immunotherapy combinations [ORR 30.6% versus 35.7%, P = 0.51; PFS HR 1.28 (95%CI 0.92-1.77), P = 0.13; OS HR 1.36 (95%CI 0.95-1.96), P = 0.09] compared to KRASnon-G12D. CONCLUSIONS KRASG12D lung cancers harbor distinct clinical, genomic, and immunologic features compared to other KRAS-mutated lung cancers and worse outcomes to PD-(L)1 blockade. Drug development for KRASG12D lung cancers will have to take these differences into account.
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Affiliation(s)
- B Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - J V Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - A Elkrief
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - X Wang
- Harvard School of Public Health, Boston, USA
| | - A Cortellini
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK
| | - Y Y Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA; Cancer Program, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, USA
| | - V R Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - H Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - F Pecci
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - A Barrichello
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - G Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - T Nguyen
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - J Lindsay
- Knowledge Systems Group, Dana-Farber Cancer Institute, Boston, USA
| | - B Sharma
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, USA
| | - K Felt
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, USA
| | - S J Rodig
- ImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, USA; Department of Pathology, Brigham and Women's Hospital, Boston, USA
| | - M Nishino
- Department of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, Boston, USA
| | - L M Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, USA
| | - D A Barbie
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - M V Negrao
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - J Zhang
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - A D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - J V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - M Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - C Ambrogio
- Molecular Biotechnology and Health Science, University of Turin, Turin, Italy
| | - P A Jänne
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - K C Arbour
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - D J Pinato
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK
| | - F Skoulidis
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - A J Schoenfeld
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | - M M Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - J Luo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
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Awad MM, Govindan R, Balogh KN, Spigel DR, Garon EB, Bushway ME, Poran A, Sheen JH, Kohler V, Esaulova E, Srouji J, Ramesh S, Vyasamneni R, Karki B, Sciuto TE, Sethi H, Dong JZ, Moles MA, Manson K, Rooney MS, Khondker ZS, DeMario M, Gaynor RB, Srinivasan L. Personalized neoantigen vaccine NEO-PV-01 with chemotherapy and anti-PD-1 as first-line treatment for non-squamous non-small cell lung cancer. Cancer Cell 2022; 40:1010-1026.e11. [PMID: 36027916 DOI: 10.1016/j.ccell.2022.08.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 06/06/2022] [Accepted: 08/02/2022] [Indexed: 12/13/2022]
Abstract
Neoantigens arising from mutations in tumor DNA provide targets for immune-based therapy. Here, we report the clinical and immune data from a Phase Ib clinical trial of a personalized neoantigen-vaccine NEO-PV-01 in combination with pemetrexed, carboplatin, and pembrolizumab as first-line therapy for advanced non-squamous non-small cell lung cancer (NSCLC). This analysis of 38 patients treated with the regimen demonstrated no treatment-related serious adverse events. Multiple parameters including baseline tumor immune infiltration and on-treatment circulating tumor DNA levels were highly correlated with clinical response. De novo neoantigen-specific CD4+ and CD8+ T cell responses were observed post-vaccination. Epitope spread to non-vaccinating neoantigens, including responses to KRAS G12C and G12V mutations, were detected post-vaccination. Neoantigen-specific CD4+ T cells generated post-vaccination revealed effector and cytotoxic phenotypes with increased CD4+ T cell infiltration in the post-vaccine tumor biopsy. Collectively, these data support the safety and immunogenicity of this regimen in advanced non-squamous NSCLC.
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Affiliation(s)
- Mark M Awad
- Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | | | - Edward B Garon
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | | | | | | | | | | | | | - Binisha Karki
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
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40
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Park H, Shapiro GI, Gao X, Mahipal A, Starr J, Furqan M, Singh P, Ahrorov A, Gandhi L, Ghosh A, Hickman D, Gallacher PD, Wennborg A, Attar EC, Awad MM, Das S, Dumbrava EE. Phase Ib study of eprenetapopt (APR-246) in combination with pembrolizumab in patients with advanced or metastatic solid tumors. ESMO Open 2022; 7:100573. [PMID: 36084396 PMCID: PMC9588880 DOI: 10.1016/j.esmoop.2022.100573] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/23/2022] [Accepted: 08/02/2022] [Indexed: 11/04/2022] Open
Abstract
Background We conducted a phase I, multicenter, open-label, dose-finding, and expansion study to determine the safety and preliminary efficacy of eprenetapopt (APR-246) combined with pembrolizumab in patients with advanced/metastatic solid tumors (ClinicalTrials.gov NCT04383938). Patients and methods For dose-finding, requirements were non-central nervous system primary solid tumor, intolerant to/progressed after ≥1 line of treatment, and eligible for pembrolizumab; for expansion: (i) gastric/gastroesophageal junction tumor, intolerant to/progressed after first-line treatment, and no prior anti-programmed cell death receptor-1 (PD-1)/programmed death-ligand 1 (PD-L1) therapy; (ii) bladder/urothelial tumor, intolerant to/progressed after first-line cisplatin-based chemotherapy, and no prior anti-PD-1/PD-L1 therapy; (iii) non-small-cell lung cancer (NSCLC) with previous anti-PD-1/PD-L1 therapy. Patients received eprenetapopt 4.5 g/day intravenously (IV) on days 1-4 with pembrolizumab 200 mg IV on day 3 in each 21-day cycle. Primary endpoints were dose-limiting toxicity (DLT), adverse events (AEs), and recommended phase II dose (RP2D) of eprenetapopt. Results Forty patients were enrolled (median age 66 years; range 27-85) and 37 received eprenetapopt plus pembrolizumab. No DLTs were reported and the RP2D for eprenetapopt in combination was 4.5 g/day IV on days 1-4. The most common eprenetapopt-related AEs were dizziness (35.1%), nausea (32.4%), and vomiting (29.7%). AEs leading to eprenetapopt discontinuation occurred in 2/37 patients (5.4%). In efficacy-assessable patients (n = 29), one achieved complete response (urothelial cancer), two achieved partial responses (NSCLC, urothelial cancer), and six patients had stable disease. Conclusions The eprenetapopt plus pembrolizumab combination was well tolerated with an acceptable safety profile and showed clinical activity in patients with solid tumors. Eprenetapopt in combination with pembrolizumab was well tolerated with an acceptable safety profile. Eprenetapopt plus pembrolizumab demonstrated clinical activity in heavily pre-treated patients with solid tumors. This is the first clinical trial evaluating the combination of a p53 reactivator with immuno-oncology therapy. This work informs the development of treatment combining immunotherapy with agents targeting specific pathways such as p53.
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Affiliation(s)
- H Park
- Division of Oncology, Alvin J Siteman Cancer Center, Washington University, St. Louis, USA.
| | - G I Shapiro
- Dana Farber Cancer Institute, Department of Medical Oncology, Boston, USA
| | - X Gao
- Massachusetts General Hospital Cancer Center, Boston, USA
| | - A Mahipal
- Division of Medical Oncology, Department of Oncology, Mayo Clinic Cancer Center, Rochester, USA
| | - J Starr
- Division of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic Cancer Center, Jacksonville, USA
| | - M Furqan
- Holden Comprehensive Cancer Center, University of Iowa, Iowa City, USA
| | - P Singh
- Division of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic Cancer Center, Phoenix, USA
| | - A Ahrorov
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - L Gandhi
- Dana Farber Cancer Institute, Department of Medical Oncology, Boston, USA
| | - A Ghosh
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA
| | | | | | | | | | - M M Awad
- Dana Farber Cancer Institute, Department of Medical Oncology, Boston, USA
| | - S Das
- Department of Medicine, Division of Hematology and Oncology, Vanderbilt University Medical Center, Nashville, USA
| | - E E Dumbrava
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA
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Ricciuti B, Wang X, Alessi JV, Rizvi H, Mahadevan NR, Li YY, Polio A, Lindsay J, Umeton R, Sinha R, Vokes NI, Recondo G, Lamberti G, Lawrence M, Vaz VR, Leonardi GC, Plodkowski AJ, Gupta H, Cherniack AD, Tolstorukov MY, Sharma B, Felt KD, Gainor JF, Ravi A, Getz G, Schalper KA, Henick B, Forde P, Anagnostou V, Jänne PA, Van Allen EM, Nishino M, Sholl LM, Christiani DC, Lin X, Rodig SJ, Hellmann MD, Awad MM. Association of High Tumor Mutation Burden in Non-Small Cell Lung Cancers With Increased Immune Infiltration and Improved Clinical Outcomes of PD-L1 Blockade Across PD-L1 Expression Levels. JAMA Oncol 2022; 8:1160-1168. [PMID: 35708671 PMCID: PMC9204620 DOI: 10.1001/jamaoncol.2022.1981] [Citation(s) in RCA: 103] [Impact Index Per Article: 51.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Importance Although tumor mutation burden (TMB) has been explored as a potential biomarker of immunotherapy efficacy in solid tumors, there still is a lack of consensus about the optimal TMB threshold that best discriminates improved outcomes of immune checkpoint inhibitor therapy among patients with non-small cell lung cancer (NSCLC). Objectives To determine the association between increasing TMB levels and immunotherapy efficacy across clinically relevant programmed death ligand-1 (PD-L1) levels in patients with NSCLC. Design, Setting, and Participants This multicenter cohort study included patients with advanced NSCLC treated with immunotherapy who received programmed cell death-1 (PD-1) or PD-L1 inhibition in the Dana-Farber Cancer Institute (DFCI), Memorial Sloan Kettering Cancer Center (MSKCC), and in the Stand Up To Cancer (SU2C)/Mark Foundation data sets. Clinicopathological and genomic data were collected from patients between September 2013 and September 2020. Data analysis was performed from November 2021 to February 2022. Exposures Treatment with PD-1/PD-L1 inhibition without chemotherapy. Main Outcomes and Measures Association of TMB levels with objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). Results In the entire cohort of 1552 patients with advanced NSCLC who received PD-1/PD-L1 blockade, the median (range) age was 66 (22-92) years, 830 (53.5%) were women, and 1347 (86.8%) had cancer with nonsquamous histologic profile. A regression tree modeling ORR as a function of TMB identified 2 TMB groupings in the discovery cohort (MSKCC), defined as low TMB (≤19.0 mutations per megabase) and high TMB (>19.0 mutations per megabase), which were associated with increasing improvements in ORR, PFS, and OS in the discovery cohort and in 2 independent cohorts (DFCI and SU2C/Mark Foundation). These TMB levels also were associated with significant improvements in outcomes of immunotherapy in each PD-L1 tumor proportion score subgroup of less than 1%, 1% to 49%, and 50% or higher. The ORR to PD-1/PD-L1 inhibition was as high as 57% in patients with high TMB and PD-L1 expression 50% or higher and as low as 8.7% in patients with low TMB and PD-L1 expression less than 1%. Multiplexed immunofluorescence and transcriptomic profiling revealed that high TMB levels were associated with increased CD8-positive, PD-L1-positive T-cell infiltration, increased PD-L1 expression on tumor and immune cells, and upregulation of innate and adaptive immune response signatures. Conclusions and Relevance These findings suggest that increasing TMB levels are associated with immune cell infiltration and an inflammatory T-cell-mediated response, resulting in increased sensitivity to PD-1/PD-L1 blockade in NSCLC across PD-L1 expression subgroups.
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Affiliation(s)
- Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Joao V. Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Hira Rizvi
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Navin R. Mahadevan
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Yvonne Y. Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts,Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Andrew Polio
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - James Lindsay
- Knowledge Systems Group, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Renato Umeton
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Rileen Sinha
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Natalie I. Vokes
- Department of Thoracic/Head and Neck Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Gonzalo Recondo
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Giuseppe Lamberti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Marissa Lawrence
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Victor R. Vaz
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Giulia C. Leonardi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Andrew J. Plodkowski
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hersh Gupta
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts,Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Andrew D. Cherniack
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Michael Y. Tolstorukov
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Bijaya Sharma
- ImmunoProfile, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kristen D. Felt
- ImmunoProfile, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Justin F. Gainor
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston
| | - Arvind Ravi
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Kurt A. Schalper
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Brian Henick
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Patrick Forde
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Valsamo Anagnostou
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Pasi A. Jänne
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts,Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Eliezer M. Van Allen
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mizuki Nishino
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Lynette M. Sholl
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - David C. Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Scott J. Rodig
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Matthew D. Hellmann
- Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
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Ricciuti B, Alessi JV, Wang X, Bertram AA, Vaz VR, Nishino M, Lindsay J, Felt KD, Sharma B, Sholl LM, Scott R, Awad MM, Cheng ML. Abstract 2143: Clinicopathologic, genomic and immunophenotypic landscape of ATM mutations in non-small cell lung cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-2143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Defective DNA damage repair machinery is a hallmark of cancer, resulting in increased mutation rates and genomic instability. In non-small cell lung cancer (NSCLC), ATM is mutated in ~10% of cases, representing the most commonly mutated DNA damage and repair gene. However, the clinicopathologic, genomic, and immunophenotypic correlates of ATM mutations in NSCLC are unknown. The impact of ATM mutation on clinical outcomes to PD-(L)1 blockade is also unclear.
Methods: Clinicopathologic and genomic data were collected from 3592 patients (pts) with NSCLC who had consented to correlative studies at the Dana-Farber Cancer Institute (DFCI), and whose tumors underwent genomic profiling (OncoPanel). Multiplexed immunofluorescence (mIF) for CD8, PD1, PD-L1, FOXP3, and CK AE1/AE3 was performed on a subset of 416 NSCLC samples to examine tumor-infiltrating immune cells. ATM immunohistochemistry (IHC) was also performed on 184 ATM mutated NSCLCs with available tissue. ATM mutated (ATMMUT) tumors were defined as harboring loss-of-function mutations (nonsense, frameshift, splice site, known deleterious missense mutations). Missense mutation of unknown significance were excluded, unless deemed to affect protein function in silico. Tumors lacking ATM mutations or harboring benign ATM alterations were defined as ATM wild type (ATMWT).
Results: A total of 399 deleterious ATM mutations were identified in 10.2% (365/3592) of samples; 138 (34.6%) mutations were truncating (nonsense, frameshift, and splice site mutations); the remaining 261 (65.4%) were missense mutations. Truncating mutations were significantly more likely to result in ATM loss by IHC compared to missense mutations (71.4% vs 28.9%, P<0.01) When we examined the genomic profiles of tumors with versus without deleterious ATM mutations, we found that ATMMUT NSCLCs were significantly enriched with KRAS, STK11, RBM10, and KDM5C co-mutations (P<0.01), while co-mutations in EGFR, CDKN2A and TP53 were nearly mutually exclusive (P<0.01). Among ATMMUT NSCLCs, those with ATM loss by IHC were significantly enriched with KRAS and STK11 co-mutations, while those with retained ATM expression were enriched with TP53 co-mutations (P<0.01). Pts with ATMMUT NSCLCs had similar outcomes to PD-(L)1 inhibition +/- chemotherapy, compared to ATMWT cases, and similar immune cell subsets infiltration (P>0.05). Pts with deleterious mutations in ATM and TP53 (ATMMUT/TP53MUT) had increased response rates to chemo-immunotherapy compared to those with ATMMUT/TP53WT, ATMWT/TP53MUT, or ATMWT/TP53WT genotypes (70% vs 56.2% vs 35.7% vs 27.4%, respectively, P=0.01), as well as increased tumor-stroma interface CD8+ T cells (P<0.01) and higher PD-L1 expression by mIF on tumor (P<0.01) and immune cells (P<0.01).
Conclusion: Deleterious ATM mutations defined a subset of NSCLC with unique clinicopathologic, genomic, and immunophenotypic features.
Citation Format: Biagio Ricciuti, Joao Victor Alessi, Xinan Wang, Arrien A. Bertram, Victor R. Vaz, Mizuki Nishino, James Lindsay, Kristen D. Felt, Bijaya Sharma, Lynette M. Sholl, Rodig Scott, Mark M. Awad, Michael L. Cheng. Clinicopathologic, genomic and immunophenotypic landscape of ATM mutations in non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2143.
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Affiliation(s)
| | | | - Xinan Wang
- 2Harvard T.H. Chan School of Public Health, Boston, MA
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Ravi A, Gainor J, Arniella M, Stewart C, Freeman S, Awad MM, Forde P, Anagnostou V, Henick B, Riess JW, Gibbons D, Pennell N, Velcheti V, Leshchiner I, Kim J, Digumarthy S, Mino-Kenudson M, Heymach J, Vokes N, Griffin A, Ricciuti B, Rizvi N, Herbst R, Velculescu V, Brahmer J, Schalper K, Janne P, Wolchok J, Shaw A, Hacohen N, Getz G, Hellmann MD. Abstract 3580: Integrative genomics of checkpoint blockade response in advanced non-small cell lung cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The introduction of checkpoint blockade therapy, specifically anti-PD-1/PD-L1 agents, has transformed the treatment landscape of advanced Non-Small Cell Lung Cancer (NSCLC). While our understanding of the biology underlying immunotherapy in NSCLC is still incomplete, studies to date have established central roles for Tumor Mutation Burden (TMB) and PD-L1 Tumor Proportion Score (PDL1-TPS). In order to expand our understanding of the molecular features underlying response in NSCLC, we describe here the first joint analysis of the Stand Up 2 Cancer-Mark Foundation (SU2C-MARK) Cohort, a collection of 393 patients with whole exome and/or RNA sequencing along with matched checkpoint blockade response annotation. We identify a number of significant associations between molecular features and response, including: 1) favorable and unfavorable genomic subgroups; 2) distinct immune infiltration signatures associated with wound healing (unfavorable) and immune activated (favorable) microenvironments; and 3) a novel de-differentiated tumor-intrinsic subtype characterized by high TMB, immune activation, and enhanced response rate. Taken together, results from this cohort extend our understanding of NSCLC-specific predictors, providing a rich set of molecular and immunologic hypotheses with which to further our understanding of the biology of checkpoint blockade in NSCLC.
Citation Format: Arvind Ravi, Justin Gainor, Monica Arniella, Chip Stewart, Sam Freeman, Mark M. Awad, Patrick Forde, Valsamo Anagnostou, Brian Henick, Jonathan W. Riess, Don Gibbons, Nathan Pennell, Vamisdhar Velcheti, Ignaty Leshchiner, Jaegil Kim, Subba Digumarthy, Mari Mino-Kenudson, John Heymach, Natalie Vokes, Andrew Griffin, Biagio Ricciuti, Naiyer Rizvi, Roy Herbst, Victor Velculescu, Julie Brahmer, Kurt Schalper, Pasi Janne, Jedd Wolchok, Alice Shaw, Nir Hacohen, Gad Getz, Matthew D. Hellmann. Integrative genomics of checkpoint blockade response in advanced non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3580.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jaegil Kim
- 10GlaxoSmithKline, London, United Kingdom
| | | | | | | | | | | | | | - Naiyer Rizvi
- 14Columbia University Medical Center, Boston, MA
| | - Roy Herbst
- 15Yale School of Medicine and Yale Cancer Center, New Haven, CT
| | | | | | - Kurt Schalper
- 15Yale School of Medicine and Yale Cancer Center, New Haven, CT
| | - Pasi Janne
- 3Dana-Farber Cancer Institute, Boston, MA
| | - Jedd Wolchok
- 16Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alice Shaw
- 2Massachusetts General Hospital, Cambridge, MA
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Luo J, Ricciuti B, Alessi JV, Wang X, Vaz V, Pecci F, Nguyen T, Lindsay J, Sharma B, Felt KD, Rodig SJ, Nishino MH, Sholl LM, Barbie DA, Jänne PA, Awad MM. Abstract 4117: Clinicopathologic and molecular characterization of KRASG12D lung cancers. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-4117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Allele-specific KRAS inhibitors are an emerging class of cancer therapies. KRASmut non-small cell lung cancers (NSCLCs) exhibit heterogenous outcomes, driven by differences in underlying biology shaped by co-mutations. In contrast to KRASG12C NSCLC, KRASG12D NSCLC is associated with low/never smoking status and has not been characterized in depth.
Methods: We examined characteristics of patients with advanced KRASmut NSCLC seen at a single center. RECISTv1.1 and Cox-proportional hazards models adjusting for line of therapy and performance status were used to compare outcomes to immunotherapy. Benjamini-Hochberg corrected q-values were used for genomic comparisons.
Results: Of 1,823 patients with KRASmut NSCLC, 16% (n=283) harbored KRASG12D which was mutually exclusive from other targetable alterations. Among these, the median age was 66 (range 20-92), 0.7% had squamous histology, 30% had a never/light smoking history (<10 pack-years, KRASG12D,light-sm) and 43% had a high pack-year smoking history (≥30 pack-years, KRASG12D,high-sm). Compared to KRASnon-G12D NSCLC, KRASG12D NSCLC had a lower pack-year smoking history (median 22 vs 30, p<0.0001), more commonly had NKX2-1 and CDKN2A co-mutations (q<0.05), and less commonly had STK11 co-mutations (q<0.05). KRASG12D had lower PD-L1 tumor proportion score (TPS) (median 1% vs 10%, p=0.01) and lower tumor mutation burden (TMB) compared to KRASnon-G12D (median 8.3 v 9.9 mt/Mb, p<0.0001). Compared with KRASG12D,high-sm, KRASG12D,light-sm had lower PD-L1 TPS (median 0% vs 10%, p=0.005) and TMB (median 6.1 vs 9.9 mt/Mb, p<0.0001).As compared to patients with KRASnon-G12D (n=120) NSCLC and adequate baseline tissue for multiplex-immunofluorescence, KRASG12D (n=25) had fewer CD8+PD1+ T cells (median 13 vs 32 cells/mm2, p=0.04), PD1+ T cells (median 90 vs 135 cells/mm2, p=0.03), and lower proportion of PD-L1+ tumor and immune cells (median 1.2% vs 3.3%, p=0.06 and median 3.4% vs 7.5%, p=0.01, respectively).Among the subset of patients with advanced KRASmut NSCLC who received immunotherapy (n=57 with KRASG12D, n=411 with KRASnon-G12D), there was no difference in clinical outcomes to anti-PD-(L)1 monotherapy between KRASG12D and KRASnon-G12D (ORR: 18% vs 26%, p=0.3; mPFS: 2.8 vs 3.9 months, aHR 0.86 95% CI 0.60-1.25; mOS: 7.4 vs 15.1 months, aHR 0.77 95% CI 0.51-1.16). Similarly, there was no difference in clinical outcomes to chemo-immunotherapy between KRASG12D and KRASnon-G12D (ORR: 18% vs 39%, p=0.10; mPFS: 6.3 vs 7.0 months, aHR 0.79 95% CI 0.43-1.43; mOS: 14.0 vs 20.8 months, aHR 0.72 95% CI 0.38-1.35).
Conclusions: KRASG12D lung cancers harbor distinct clinical, genomic, and immunologic features compared to other KRAS mutated lung cancers and numerically worse outcomes to PD-(L)1 blockade-based therapies. Drug development for KRASG12D lung cancers will have to take these differences into account.
Citation Format: Jia Luo, Biagio Ricciuti, Joao V. Alessi, Xinan Wang, Victor Vaz, Federica Pecci, Tom Nguyen, James Lindsay, Bijaya Sharma, Kristen D. Felt, Scott J. Rodig, Mizuki H. Nishino, Lynette M. Sholl, David A. Barbie, Pasi A. Jänne, Mark M. Awad. Clinicopathologic and molecular characterization of KRASG12D lung cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 4117.
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Affiliation(s)
- Jia Luo
- 1Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Xinan Wang
- 2Harvard School of Public Health, Boston, MA
| | - Victor Vaz
- 1Dana-Farber Cancer Institute, Boston, MA
| | | | - Tom Nguyen
- 1Dana-Farber Cancer Institute, Boston, MA
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Lee JM, Awad MM, Saliba T, Caro N, Banerjee H, Kelly K. Abstract CT547: Neoadjuvant and adjuvant capmatinib in resectable non-small cell lung cancer with MET exon 14 skipping mutation or high MET amplification: GEOMETRY-N trial. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-ct547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Neoadjuvant therapy is the earliest opportunity to eliminate micrometastatic disease. Emerging data suggest that neoadjuvant therapy in non-small cell lung cancer (NSCLC) can elicit major pathological responses (MPRs) that translate into prolonged survival outcomes, serving as an early surrogate for efficacy. Adjuvant therapy can improve overall and disease-free survival (DFS) in patients with completely resected NSCLC. DFS observed with osimertinib in patients with early-stage EGFR-mutated tumors supports evaluation of other tyrosine kinase inhibitors (TKIs) in the neoadjuvant and adjuvant settings. In early-stage NSCLC, MET exon 14 skipping mutation (METex14) and de novo MET amplification (METamp) are estimated to occur in up to 2.8% and 1.7% of patients, respectively. Capmatinib, a selective MET TKI, is FDA approved for patients with metastatic METex14 NSCLC. It was studied in GEOMETRY mono-1 in patients with advanced/metastatic NSCLC with METex14 or METamp. In 2 treatment-naive METex14 cohorts, overall response rate (ORR) was 68% and 66%. In a treatment-naive high-level METamp cohort, ORR was 40%. Capmatinib had a tolerable safety profile; most adverse events were reversible with dose adjustments. Based on the response rates and safety profile observed in treatment-naive patients with advanced/metastatic MET-dysregulated NSCLC, GEOMETRY-N (NCT04926831), a Phase II, 2-cohort, 2-stage study, is evaluating the efficacy and safety of neoadjuvant and adjuvant capmatinib therapy in improving the MPR rate and outcomes in patients with METex14 or high-level METamp NSCLC.
Methods: Adults with resectable, histologically confirmed NSCLC stage IB-IIIA, N2 and select IIIB (T3N2 or T4N2) with either METex14 (cohort A) or high-level METamp (gene copy number ≥10; cohort B) are eligible. METex14 must be determined by a Clinical Laboratory Improvement Amendments (CLIA)-certified lab. METamp must be determined by fluorescence in situ hybridization at a CLIA-certified lab or by FoundationOne CDx next-generation sequencing. Prior systemic anticancer therapy is prohibited. Patients will receive capmatinib 400 mg twice daily for 8 weeks before surgical resection, followed by 3 years of adjuvant capmatinib. In the 2-stage design, stage 1 will enroll 9 patients per cohort, with MPR evaluated in each cohort after 9 patients have completed neoadjuvant therapy; stage 2, enrolling 10 more patients in a cohort, will proceed only if ≥1 of 9 participants has an MPR. About 42 patients will be enrolled, with 19 evaluable patients per cohort. The primary endpoint is MPR rate (local assessment). Secondary endpoints are complete pathological response rate (central and local review), ORR (local assessment), DFS, and safety. Following treatment, there will be a 2-year survival follow-up. The expected first patient first visit is December 30, 2021.
Citation Format: Jay M. Lee, Mark M. Awad, Teddy Saliba, Nydia Caro, Hiya Banerjee, Karen Kelly. Neoadjuvant and adjuvant capmatinib in resectable non-small cell lung cancer with MET exon 14 skipping mutation or high MET amplification: GEOMETRY-N trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr CT547.
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Affiliation(s)
| | | | - Teddy Saliba
- 3Novartis Pharmaceuticals Corporation, East Hanover, NJ
| | - Nydia Caro
- 3Novartis Pharmaceuticals Corporation, East Hanover, NJ
| | - Hiya Banerjee
- 3Novartis Pharmaceuticals Corporation, East Hanover, NJ
| | - Karen Kelly
- 4UC Davis Comprehensive Cancer Center, Sacramento, CA
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Boiarsky D, Lydon CA, Chambers E, Janne PA, Awad MM, Van Allen EM, Barbie D, Vokes NI. Abstract 2181: Genomic correlates of Metastasis in KRAS mutant lung adenocarcinoma. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-2181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Lung adenocarcinoma (LUAD) is a disease classified by molecular markers. In KRAS-mutant LUAD, STK11 and KEAP1 mutations are associated with decreased overall survival (OS), but predictors of metastasis have been poorly defined. In this study, we identify clinical and genomic predictors of metastatic KRAS-mutant LUAD.
Methods: Patients with KRAS-mutant LUAD profiled by targeted next generation sequencing (OncoPanel) were included. Stage, histology, recurrence-free and overall survival were assessed. Clinical and genomic features between metastatic vs non-metastatic samples were compared. KRAS-mutant LUAD samples profiled using MSK-IMPACT in the AACR GENIE database were used to validate our findings. Continuous variables were compared using the Mann-Whitney U test and categorical variables were compared using the Fisher’s Exact test. Survival analysis was performed using the Cox Proportional Hazards model. WExT was used to identify co-occurring and mutually exclusive genetic alterations. Benjamini-Hochberg was used to correct for multiple comparisons. P-values < 0.05 and q-values < 0.10 were considered significant.
Results: In the OncoPanel cohort (metastatic n=290; non-metastatic n=324), tumor mutational burden (TMB) (p = .001) and KEAP1 mutations (q = 0.05) were enriched in metastatic samples, while NFKBIA amplifications (q = 0.07) were enriched in non-metastatic samples. KEAP1/STK11 mutations significantly co-occurred (q < 1e-8). Compared to double wild-type samples: KEAP1/STK11 co-mutations were significantly enriched in metastatic samples (n = 72, p = 0.0002, OR 3.4); KEAP1-mutant samples trended towards enrichment in metastatic samples, (n = 21,p = 0.07, OR 2.47); STK11 mutations did not associate with stage (n = 53, p = 0.88, OR = 0.94). In multivariable survival analysis, metastasis (p < 0.005), KEAP1 mutation (p=0.01), and STK11 mutation (p=0.02) were associated with worse OS.
In the MSK-IMPACT validation cohort (metastatic site n=417, primary site n = 781), KEAP1 was the only gene enriched in metastatic samples (q < 0.001) at q < 0.05. Compared to double wild type samples: KEAP/STK11 co-mutations (n=138, p < 0.0001, OR 2.1) and KEAP1 mutations (n=59, p = 0.04, OR 1.77) were enriched in metastatic samples; STK11-mutations did not associate with metastasis (n = 190, p = 0.34, OR 0.83). Other predictors of metastasis included Fraction Genome Altered (FGA) (p < 1e-5), TMB (p < 1e-5), and CDKN2A/B deletions (q < 0.003).
Conclusion: While both KEAP1 and STK11 mutations are associated with decreased OS in KRAS-mutant LUAD, we find in two independent cohorts that only KEAP1 mutations and KEAP1/STK11 co-mutations, but not STK11 mutations, are associated with metastasis. We also found that FGA, TMB, CDKN2A/B deletions are strongly associated with metastasis. Further research is necessary to understand the influence of KEAP1 mutations, independent of and in-conjunction with STK11 mutations, on metastasis.
Citation Format: Daniel Boiarsky, Christine A. Lydon, Emily Chambers, Pasi A. Janne, Mark M. Awad, Eliezer M. Van Allen, David Barbie, Natalie I. Vokes. Genomic correlates of Metastasis in KRAS mutant lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2181.
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Alessi JV, Wei Z, Ricciuti B, Lindsay J, Vaz VR, Barrichello A, Sharma B, Felt KD, Hong F, Sholl LM, Rodig SJ, Awad MM. Abstract 506: Dissecting the genomic and tumor immune microenvironment factors associated with disease recurrence in resected stage I NSCLC. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Patients with early-stage non-small cell lung cancer (NSCLC) are at substantial risk for disease recurrence after surgical resection, and the discovery of biomarkers that predict disease recurrence has been challenging. We sought to identify genomic and immunologic factors associated with recurrence after surgery in stage I NSCLC.
Methods: We collected clinicopathologic data from patients with resected stage I NSCLC (AJCC 8th Edition) which underwent multiplexed immunofluorescence for CD8+, FOXP3+, PD-1+, and PD-L1. A subset of these samples also had next-generation sequencing performed to identify genomic alterations and tumor mutational burden (TMB). A bidirectional stepwise elimination was applied on variables with a univariable disease-free survival (DFS) p-value <0.25. The final multivariable Cox model was validated with internal bootstrapping (B=300).
Results: A total of 252 cases were included. After a median follow-up of 25.6 months from the time of surgery, 47 cases (18.7%) experienced recurrence, with a 2-year DFS rate of 82.9%, and a 2-year overall survival (OS) rate of 97.9%. Shorter DFS was associated with higher TMB, increased PD-L1 expression, and greater numbers of intratumoral (IT) CD8+, PD-1+, and PD-1+CD8+ immune cells, as well as increased CD8+ and FOXP3+ T cells at the tumor stroma interface (TSI) in univariable analyses (p<0.05). Multivariable analysis showed that shorter DFS was associated with increasing TMB and higher PD-L1 tumor cell expression. We observed a difference by immune cell localization and risk of recurrence: shorter DFS was associated with higher IT but lower TSI PD-1+ immune cells, and higher IT but lower TSI FOXP3+ T cells (Table). Internal bootstrap validation showed good model performance (C-index = 0.74).
Conclusion: Genomic analysis and immunophenotyping of stage I NSCLCs can identify cases at greatest risk of disease recurrence after surgical resection.
Table. Univariable and multivariable analysis Disease-free survival Univariable HR [95%CI] p-value Multivariable HR [95%CI] p-value Stage at diagnosis - 0.10 – – IA1 1.52 [0.58, 3.97] IA2 2.61 [0.95, 7.20] IA3 2.61 [1.03, 6.63] IB Histology - 0.42 Adenocarcinoma 1.38 [0.65, 2.97] Squamous Age* 1.02 [0.99, 1.06] 0.19 – – TMB* 1.09 [1.05, 1.12] <0.001 1.09 [1.05, 1.13] <0.001 Smoking* (pack-years) 1.01 [1.00, 1.02] 0.008 – – Smoking history - 0.012 – – Never 5.24 [1.27, 21.7] Former Current 4.92 [0.82, 29.5] Surgical treatment - 0.084 - 0.074 Lobectomy 1.80 [0.89, 3.62] 2.18 [0.93, 5.14] Sublobar Intratumoral** 1.09 [1.03, 1.16] 0.015 - – CD8+ 1.22 [1.10, 1.36] 0.002 1.80 [1.13, 2.87] 0.014 PD-1+ 1.51 [1.20, 1.90] 0.004 - – 0.004 PD-1+ CD8+ 1.22 [1.04, 1.44] 0.053 0.15 [0.04, 0.55] FOXP3+ Tumor-Stroma Interface** 1.06 [1.01, 1.11] 0.033 - - CD8+ 1.10 [1.01,1.20] 0.056 0.71 [0.56, 0.91] 0.007 PD-1+ 1.21 [0.99, 1.48] 0.100 - - PD-1+ CD8+ 1.28 [1.03, 1.59] 0.037 2.42 [1.49, 3.95] <0.001 FOXP3+ PD-L1 expression* 1.02 [1.01, 1.03] <0.001 1.03 [1.01, 1.04] <0.001 Tumor Proportion Score (TPS) 1.02 [1.01, 1.04] - - Immune cells 0.011 *Per unit increase. ** Per 100 units increase. Intratumoral, is defined as the region of the slide consisting of tumor beyond the tumor-stroma interface. Tumor-Stroma Interface is defined as the region within 40 microns to either side of the defined border between tumor and stroma.
Citation Format: Joao Victor Alessi, Zihan Wei, Biagio Ricciuti, James Lindsay, Victor R. Vaz, Adriana Barrichello, Bijaya Sharma, Kristen D. Felt, Fangxin Hong, Lynette M. Sholl, Scott J. Rodig, Mark M. Awad. Dissecting the genomic and tumor immune microenvironment factors associated with disease recurrence in resected stage I NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 506.
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Affiliation(s)
| | - Zihan Wei
- 1Dana-Farber Cancer Institute, Boston, MA
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Bakouny Z, Labaki C, Bhalla S, Schmidt AL, Steinharter JA, Cocco J, Tremblay DA, Awad MM, Kessler A, Haddad RI, Evans M, Busser F, Wotman M, Curran CR, Zimmerman BS, Bouchard G, Jun T, Nuzzo PV, Qin Q, Hirsch L, Feld J, Kelleher KM, Seidman D, Huang H, Anderson-Keightly HM, El Zarif T, Alaiwi SA, Champagne C, Rosenbloom TD, Stewart PS, Johnson BE, Trinh Q, Tolaney SM, Galsky MD, Choueiri TK, Doroshow DB. Oncology clinical trial disruption during the COVID-19 pandemic: a COVID-19 and cancer outcomes study. Ann Oncol 2022; 33:836-844. [PMID: 35715285 PMCID: PMC9197329 DOI: 10.1016/j.annonc.2022.04.071] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 03/14/2022] [Accepted: 04/18/2022] [Indexed: 12/01/2022] Open
Abstract
Background COVID-19 disproportionately impacted patients with cancer as a result of direct infection, and delays in diagnosis and therapy. Oncological clinical trials are resource-intensive endeavors that could be particularly susceptible to disruption by the pandemic, but few studies have evaluated the impact of the pandemic on clinical trial conduct. Patients and methods This prospective, multicenter study assesses the impact of the pandemic on therapeutic clinical trials at two large academic centers in the Northeastern United States between December 2019 and June 2021. The primary objective was to assess the enrollment on, accrual to, and activation of oncology therapeutic clinical trials during the pandemic using an institution-wide cohort of (i) new patient accruals to oncological trials, (ii) a manually curated cohort of patients with cancer, and (ii) a dataset of new trial activations. Results The institution-wide cohort included 4756 new patients enrolled to clinical trials from December 2019 to June 2021. A major decrease in the numbers of new patient accruals (−46%) was seen early in the pandemic, followed by a progressive recovery and return to higher-than-normal levels (+2.6%). A similar pattern (from −23.6% to +30.4%) was observed among 467 newly activated trials from June 2019 to June 2021. A more pronounced decline in new accruals was seen among academically sponsored trials (versus industry sponsored trials) (P < 0.05). In the manually curated cohort, which included 2361 patients with cancer, non-white patients tended to be more likely taken off trial in the early pandemic period (adjusted odds ratio: 2.60; 95% confidence interval 1.00-6.63), and substantial pandemic-related deviations were recorded. Conclusions Substantial disruptions in clinical trial activities were observed early during the pandemic, with a gradual recovery during ensuing time periods, both from an enrollment and an activation standpoint. The observed decline was more prominent among academically sponsored trials, and racial disparities were seen among people taken off trial.
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Affiliation(s)
- Z Bakouny
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - C Labaki
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - S Bhalla
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - A L Schmidt
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - J A Steinharter
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - J Cocco
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - D A Tremblay
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - M M Awad
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - A Kessler
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - R I Haddad
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - M Evans
- Department of Medicine, Icahn School of Medicine at Mount Sinai Hospital, New York, USA
| | - F Busser
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - M Wotman
- Department of Medicine, Icahn School of Medicine at Mount Sinai Hospital, New York, USA
| | - C R Curran
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - B S Zimmerman
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - G Bouchard
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - T Jun
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - P V Nuzzo
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - Q Qin
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - L Hirsch
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - J Feld
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - K M Kelleher
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - D Seidman
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - H Huang
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | | | - T El Zarif
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - S Abou Alaiwi
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - C Champagne
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - T D Rosenbloom
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - P S Stewart
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - B E Johnson
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - Q Trinh
- Division of Urological Surgery, Brigham and Women's Hospital, Boston, USA
| | - S M Tolaney
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA
| | - M D Galsky
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA
| | - T K Choueiri
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, USA.
| | - D B Doroshow
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, USA.
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Provencio-Pulla M, Spicer J, Taube JM, Martin C, Spigel DR, Wang C, Girard N, Lu S, Mitsudomi T, Awad MM, Felip E, Brahmer JR, Broderick S, Swanson S, Kerr K, Li L, Cai J, Bushong J, Tran P, Forde PM. Neoadjuvant nivolumab (NIVO) + platinum-doublet chemotherapy (chemo) versus chemo for resectable (IB–IIIA) non-small cell lung cancer (NSCLC): Association of pathological regression with event-free survival (EFS) in CheckMate 816. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.17_suppl.lba8511] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
LBA8511 Background: Several studies have shown an association of pathological response, a common efficacy endpoint in neoadjuvant therapy trials, with survival for chemo in various cancers including resectable NSCLC. However, the association between pathological complete response (pCR) and survival as well as the degree of pathological regression that may be predictive of EFS for neoadjuvant immunotherapy has not been rigorously studied. CheckMate 816 (NCT02998528), a randomized phase 3 study of neoadjuvant NIVO + chemo vs chemo in resectable NSCLC, met both of its primary endpoints with a statistically significant and clinically meaningful improvement in EFS and pCR. Here, we report a post hoc analysis from CheckMate 816, characterizing the association between pathological regression and EFS. Methods: Adults with resectable NSCLC were randomized to NIVO 360 mg + platinum-doublet chemo Q3W or chemo alone Q3W for 3 cycles. Primary endpoints were EFS and pCR (0% residual viable tumor [RVT] in the primary tumor [PT] and lymph nodes [LN] based on immune-related pathological response criteria), both assessed by blinded independent review. Major pathological response (MPR; ≤10% RVT in the PT and LN) was a secondary endpoint. In this post hoc analysis, EFS was assessed based on depth of pathological regression (measured by %RVT) in the PT only. Also, a time-dependent receiver operating characteristic curve analysis assessed the predictive ability of %RVT (PT only) for EFS outcome at 2 years, using area under the curve (AUC) to summarize the overall diagnostic accuracy (0.5 = random chance; 1 = perfect accuracy). Results: Baseline characteristics in patients (pts) with pathologically evaluable samples were well balanced between the NIVO + chemo and chemo arms, similar to the overall population. In both treatment arms, EFS (minimum follow-up, 21 months) was improved in pts with vs without pCR or MPR (Table). %RVT appeared to be predictive of EFS at 2 years for NIVO + chemo (AUC = 0.74) but an association was not clear for chemo (AUC = 0.54). 2-year EFS rates for NIVO + chemo were 90%, 60%, 57%, and 39% for pts with 0–5%, >5–30%, >30–80%, and >80% RVT, respectively. Conclusions: In CheckMate 816, pathological response (pCR and MPR) in the PT was associated with improved EFS with neoadjuvant NIVO + chemo. Additionally, depth of pathological regression appeared to be predictive of improved EFS. Clinical trial information: NCT02998528. [Table: see text]
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Affiliation(s)
| | | | - Janis M. Taube
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Kimmel Cancer Center, Baltimore, MD
| | | | | | - Changli Wang
- Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Nicolas Girard
- Institut du Thorax Curie-Montsouris, Institut Curie, Paris, France
| | - Shun Lu
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai, China
| | | | | | - Enriqueta Felip
- Vall d’Hebron University Hospital, Vall d’Hebron Institute of Oncology, Barcelona, Spain
| | - Julie R. Brahmer
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Kimmel Cancer Center, Baltimore, MD
| | - Stephen Broderick
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Kimmel Cancer Center, Baltimore, MD
| | | | - Keith Kerr
- Aberdeen Royal Infirmary, Aberdeen, United Kingdom
| | - Li Li
- Bristol Myers Squibb, Princeton, NJ
| | | | | | | | - Patrick M. Forde
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Kimmel Cancer Center, Baltimore, MD
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Awad MM, Le Bruchec Y, Lu B, Ye J, Miller JA, Lizotte PH, Cavanaugh ME, Rode AJ, Dumitru CD, Spira A. Corrigendum: Selective Histone Deacetylase Inhibitor ACY-241 (Citarinostat) Plus Nivolumab in Advanced Non-Small Cell Lung Cancer: Results From a Phase Ib Study. Front Oncol 2022; 12:889996. [PMID: 35747830 PMCID: PMC9210944 DOI: 10.3389/fonc.2022.889996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/02/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Mark M. Awad
- Lowe Center for Thoracic Oncology and Dana-Farber Cancer Institute, Boston, MA, United States
- *Correspondence: Mark M. Awad,
| | | | - Brian Lu
- Bristol Myers Squibb, Princeton, NJ, United States
| | - Jason Ye
- Acetylon Pharmaceuticals, Inc, Boston, MA, United States
| | | | - Patrick H. Lizotte
- Dana-Farber Cancer Institute and Belfer Center for Applied Cancer Science, Boston, MA, United States
| | - Megan E. Cavanaugh
- Dana-Farber Cancer Institute and Belfer Center for Applied Cancer Science, Boston, MA, United States
| | - Amanda J. Rode
- Dana-Farber Cancer Institute and Belfer Center for Applied Cancer Science, Boston, MA, United States
| | | | - Alexander Spira
- Virginia Cancer Specialists (VCS) Research Institute, Fairfax, VA, United States
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