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Nassar AH, El Zarif T, Khalid AB, Rahme S, Zhong C, Kwak L, Salame M, Farhat EB, Freeman D, El-Am E, Ravishankar A, Ahmad B, Nana FA, Kaldas D, Naqash AR, Sharon E, LeBoeuf NR, Cortellini A, Malgeri A, Gupta S, Al-Hader A, Sparks JA, Linnoila J, Hamnvik OPR, Mouhieddine TH, Marron T, Parikh K, McKay RR, Dilling T, Choueiri TK, Adib E, Najem E, Kim SY, Sonpavde G. Clinical outcomes and safety of immune checkpoint inhibitors in patients with solid tumors and paraneoplastic syndromes. J Immunother Cancer 2024; 12:e008724. [PMID: 38448038 PMCID: PMC10916116 DOI: 10.1136/jitc-2023-008724] [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] [Accepted: 02/05/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Patients with paraneoplastic syndromes (PNS) are excluded from clinical trials involving immune checkpoint inhibitors (ICIs) due to safety concerns. Moreover, real-world data on efficacy and safety is scarce. METHODS In this retrospective study, data were collected on patients with PNS and solid tumors receiving ICI between 2015 and 2022 at nine institutions. Patients were classified into: Cohort 1 (pre-existing PNS before ICI initiation), cohort 2 (PNS during ICI treatment), and cohort 3 (PNS after ICI discontinuation). Patients with metastatic non-small cell lung cancer (NSCLC) (mNSCLC) from cohort 1 were matched to patients who were PNS-free at each institution up to a 1:3 ratio for age, sex, type of ICI, use of concurrent chemotherapy, and number of lines of systemic therapy prior to ICI initiation. Kaplan-Meier method was used to assess overall survival (OS) and time-to-next treatment (TTNT). RESULTS Among 109 patients with PNS treated with ICIs, median age at ICI initiation was 67 years (IQR: 58-74). The most represented cancer type was NSCLC (n=39, 36%). In cohort 1 (n=55), PNS exacerbations occurred in 16 (29%) patients with median time to exacerbation after ICI of 1.1 months (IQR: 0.7-3.3). Exacerbation or de novo PNS prompted temporary/permanent interruption of ICIs in 14 (13%) patients. For cohort 2 (n=16), median time between ICI initiation and de novo PNS was 1.2 months (IQR: 0.4-3.5). Treatment-related adverse events (trAEs) occurred in 43 (39%) patients. Grade ≥3 trAEs occurred in 18 (17%) patients. PNS-directed immunosuppressive therapy was required in 55 (50%) patients. We matched 18 patients with mNSCLC and PNS (cohort 1) to 40 without PNS, treated with ICIs. There was no significant difference in OS or TTNT between patients with mNSCLC with and without PNS, although a trend was seen towards worse outcomes in patients with PNS. TrAEs occurred in 6/18 (33%) and 14/40 (35%), respectively. Grade ≥3 trAEs occurred in 4 (22%) patients with PNS and 7 (18%) patients without PNS. CONCLUSIONS Exacerbations of pre-existing PNS occurred in 29% of patients treated with ICIs and both exacerbations and de novo PNS occur early in the ICI course. TrAE from ICIs were similar between patients with and without PNS. Our data suggest that pre-existing PNS should not preclude consideration of ICI therapy although patients may not derive the same clinical benefit compared with patients without PNS.
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Affiliation(s)
| | - Talal El Zarif
- Yale University, New Haven, Connecticut, USA
- Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Ahmed Bilal Khalid
- Indiana Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, USA
| | - Serena Rahme
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, New York, USA
| | - Caiwei Zhong
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Lucia Kwak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | | | - Elias Bou Farhat
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Dory Freeman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | | | - Arjun Ravishankar
- Yale University, New Haven, Connecticut, USA
- Yale University School of Medicine, New Haven, Connecticut, USA
| | - Bachar Ahmad
- Yale University, New Haven, Connecticut, USA
- Yale University School of Medicine, New Haven, Connecticut, USA
| | - Frank Aboubakar Nana
- Division of Pneumology, CHU UCL Namur, Yvoir, Namur, Belgium
- Division of Pneumology, Cliniques universitaires Saint-Luc, Brussels, Belgium
| | - David Kaldas
- Department of Internal Medicine, University of South Florida, Tampa, Florida, USA
- Department of Clinical Oncology, Cairo University, Giza, Egypt
| | - Abdul Rafeh Naqash
- Medical Oncology/TSET Phase 1 Program, The University of Oklahoma Stephenson Cancer Center, Oklahoma City, Oklahoma, USA
| | - Elad Sharon
- National Cancer Institute, Bethesda, Maryland, USA
| | | | - Alessio Cortellini
- Medical Oncology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
- Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Andrea Malgeri
- Medical Oncology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
| | - Shruti Gupta
- Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ahmad Al-Hader
- Indiana Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, USA
| | | | - Jenny Linnoila
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | | | - Thomas Marron
- Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Rana R McKay
- Division of Medical Oncology, University of California San Diego, La Jolla, California, USA
| | - Thomas Dilling
- Department of Internal Medicine, University of South Florida, Tampa, Florida, USA
| | - Toni K Choueiri
- Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, UK
| | - Elio Adib
- Harvard Medical School, Boston, Massachusetts, USA
| | - Elie Najem
- Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
| | - So Yeon Kim
- Yale University, New Haven, Connecticut, USA
| | - Guru Sonpavde
- Medical Oncology, AdventHealth Central Florida, Orlando, Florida, USA
- AdventHealth Cancer Institute, AdventHealth, Altamonte Springs, Florida, USA
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Bou Farhat E, Adib E, Daou M, Naqash AR, Matulonis U, Ng K, Kwiatkowski DJ, Sholl LM, Nassar AH. Benchmarking mismatch repair testing for patients with cancer receiving immunotherapy. Cancer Cell 2024; 42:323. [PMID: 38350424 DOI: 10.1016/j.ccell.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
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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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4
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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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5
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Guram K, Huang J, Mouchati C, Abdallah N, Jani C, Navani V, Xie W, El Zarif T, Adib E, Gebrael G, Agarwal N, Li H, Labaki C, Labban M, Ruiz Morales JM, Choueiri TK, Chin Heng DY, Mittal A, Hansen AR, Rose BS, McKay RR. Comparison of outcomes for Hispanic and non-Hispanic patients with advanced renal cell carcinoma in the International Metastatic Renal Cell Carcinoma Database. Cancer 2024. [PMID: 38297953 DOI: 10.1002/cncr.35216] [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: 08/02/2023] [Accepted: 10/03/2023] [Indexed: 02/02/2024]
Abstract
BACKGROUND Existing data on the impact of Hispanic ethnicity on outcomes for patients with renal cell carcinoma (RCC) is mixed. The authors investigated outcomes of Hispanic and non-Hispanic White (NHW) patients with advanced RCC receiving systemic therapy at large academic cancer centers using the International Metastatic Renal Cell Carcinoma Database (IMDC). METHODS Eligible patients included non-Black Hispanic and NHW patients with locally advanced or metastatic RCC initiating systemic therapy. Overall survival (OS) and time to first-line treatment failure (TTF) were calculated using the Kaplan-Meier method. The effect of ethnicity on OS and TTF were estimated by Cox regression hazard ratios (HRs). RESULTS A total of 1563 patients (181 Hispanic and 1382 NHW) (mostly males [73.8%] with clear cell RCC [81.5%] treated with tyrosine kinase inhibitor [TKI] monotherapy [69.9%]) were included. IMDC risk groups were similar between groups. Hispanic patients were younger at initial diagnosis (median 57 vs. 59 years, p = .015) and less likely to have greater than one metastatic site (60.8% vs. 76.8%, p < .001) or bone metastases (23.8% vs. 33.4%, p = .009). Median OS and TTF was 38.0 months (95% confidence interval [CI], 28.1-59.2) versus 35.7 months (95% CI, 31.9-39.2) and 7.8 months (95% CI, 6.2-9.0) versus 7.5 months (95% CI, 6.9-8.1), respectively, in Hispanic versus NHW patients. In multivariable Cox regression analysis, no statistically significant differences were observed in OS (adjusted hazard ratio [HR], 1.07; 95% CI, 0.86-1.31, p = .56) or TTF (adjusted HR, 1.06; 95% CI, 0.89-1.26, p = .50). CONCLUSIONS The authors did not observe statistically significant differences in OS or TTF between Hispanic and NHW patients with advanced RCC. Receiving treatment at tertiary cancer centers may mitigate observed disparities in cancer outcomes.
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Affiliation(s)
- Kripa Guram
- University of California, San Diego Health, La Jolla, California, USA
| | - Jiaming Huang
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Christian Mouchati
- Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Nour Abdallah
- Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Chinmay Jani
- Mount Auburn Hospital, Harvard Medical School, Cambridge, Massachusetts, USA
- University of Miami-Sylvester Comprehensive Cancer Center/Jackson Health System, Miami, Florida, USA
| | - Vishal Navani
- Tom Baker Cancer Centre, Calgary, Alberta, Canada
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Wanling Xie
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Talal El Zarif
- Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Elio Adib
- Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Georges Gebrael
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Neeraj Agarwal
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Haoran Li
- Department of Medical Oncology, University of Kansas Cancer Center, Kansas City, Kansas, USA
| | - Chris Labaki
- Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Muhieddine Labban
- Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Toni K Choueiri
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Daniel Yick Chin Heng
- Tom Baker Cancer Centre, Calgary, Alberta, Canada
- University of Calgary, Calgary, Alberta, Canada
| | - Abhenil Mittal
- Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Aaron R Hansen
- Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Brent S Rose
- University of California, San Diego Health, La Jolla, California, USA
| | - Rana R McKay
- University of California, San Diego Health, La Jolla, California, USA
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Nassar AH, Kim SY, Aredo JV, Feng J, Shepherd F, Xu C, Kaldas D, Gray JE, Dilling TJ, Neal JW, Wakelee HA, Liu Y, Lin SH, Abuali T, Amini A, Nie Y, Patil T, Lobachov A, Bar J, Fitzgerald B, Fujiwara Y, Marron TU, Thummalapalli R, Yu H, Owen DH, Sharp J, Farid S, Rocha P, Arriola E, D'Aiello A, Cheng H, Whitaker R, Parikh K, Ashara Y, Chen L, Sankar K, Harris JP, Nagasaka M, Ayanambakkam A, Velazquez AI, Ragavan M, Lin JJ, Piotrowska Z, Wilgucki M, Reuss J, Luders H, Grohe C, Baena Espinar J, Feiner E, Punekar SR, Gupta S, Leal T, Kwiatkowski DJ, Mak RH, Adib E, Naqash AR, Goldberg SB. Consolidation Osimertinib Versus Durvalumab Versus Observation After Concurrent Chemoradiation in Unresectable EGFR-Mutant NSCLC: A Multicenter Retrospective Cohort Study. J Thorac Oncol 2024:S1556-0864(24)00032-7. [PMID: 38278303 DOI: 10.1016/j.jtho.2024.01.012] [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: 11/05/2023] [Revised: 12/31/2023] [Accepted: 01/19/2024] [Indexed: 01/28/2024]
Abstract
INTRODUCTION Durvalumab improves survival when used as consolidation therapy after chemoradiation (CRT) in patients with stage III NSCLC. The optimal consolidation therapy for patients with EGFR-mutant (EGFRmut) stage III NSCLC remains unknown. METHODS In this multi-institutional, international retrospective analysis across 24 institutions, we evaluated outcomes in patients with stage III EGFRmut NSCLC treated with concurrent CRT followed by consolidation therapy with osimertinib, durvalumab, or observation between 2015 and 2022. Kaplan-Meier method was used to estimate real-world progression-free survival (rwPFS, primary end point) and overall survival (secondary end point). Treatment-related adverse events (trAEs) during consolidation treatment were defined using Common Terminology Criteria for Adverse Events version 5.0. Multivariable Cox regression analysis was used. RESULTS Of 136 patients with stage III EGFRmut NSCLC treated with definitive concurrent CRT, 56 received consolidation durvalumab, 33 received consolidation osimertinib, and 47 was on observation alone. Baseline characteristics were similar across the three cohorts. With a median follow-up of 46 months for the entire cohort, the median duration of treatment was not reached (NR) for osimertinib (interquartile range: NR-NR) and was 5.5 (interquartile range: 2.4-10.8) months with durvalumab. After adjusting for nodal status, stage III A/B/C, and age, patients treated with consolidation osimertinib had significantly longer 24-month rwPFS compared to those treated with durvalumab or in the observation cohorts (osimertinib: 86%, durvalumab: 30%, observation: 27%, p < 0.001 for both comparisons). There was no difference in rwPFS between the durvalumab and the observation cohorts. No significant difference in overall survival across the three cohorts was detected, likely due to the limited follow-up. Any-grade trAE occurred in 52% (2 [6.1%] grade ≥3) and 48% (10 [18%] grade ≥3) of patients treated with osimertinib and durvalumab, respectively. Of 45 patients who progressed on consolidation durvalumab, 37 (82%) subsequently received EGFR tyrosine kinase inhibitors. Of these, 14 (38%) patients developed trAEs including five patients with pneumonitis (14%; 2 [5.4%] grade ≥3) and five patients with diarrhea (14%; 1 [2.7%] grade ≥3). CONCLUSIONS This study suggests that among patients with stage III unresectable NSCLC with a sensitizing EGFR mutation, consolidation osimertinib was associated with a significantly longer rwPFS compared to durvalumab or observation. No unanticipated safety signals were observed with consolidation osimertinib.
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Affiliation(s)
- Amin H Nassar
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - So Yeon Kim
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - Jacqueline V Aredo
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Jamie Feng
- Department of Medical Oncology and Hematology, University Health Network, Princess Margaret Cancer Centre, Toronto, Canada
| | - Frances Shepherd
- Department of Medical Oncology and Hematology, University Health Network, Princess Margaret Cancer Centre, Toronto, Canada
| | - Chao Xu
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - David Kaldas
- Department of Internal Medicine, University of South Florida, Tampa, Florida; Department of Clinical Oncology, Cairo University, Cairo, Egypt
| | - Jhanelle E Gray
- Thoracic Oncology Program, Moffitt Cancer Center, Tampa, Florida
| | - Thomas J Dilling
- Thoracic Oncology Program, Moffitt Cancer Center, Tampa, Florida
| | - Joel W Neal
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Heather A Wakelee
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Yufei Liu
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Steven H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tariq Abuali
- Department of Radiation Oncology, City of Hope National Cancer Center, Duarte, California
| | - Arya Amini
- Department of Radiation Oncology, City of Hope National Cancer Center, Duarte, California
| | - Yunan Nie
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut
| | - Tejas Patil
- Department of Medicine, University of Colorado Cancer Center, Aurora, Colorado
| | - Anastasiya Lobachov
- Institute of Oncology, Chaim Sheba Medical Center, Ramat Gan, Israel; School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jair Bar
- Institute of Oncology, Chaim Sheba Medical Center, Ramat Gan, Israel; School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Bailey Fitzgerald
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Yu Fujiwara
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Thomas U Marron
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Rohit Thummalapalli
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Helena Yu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Dwight H Owen
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - John Sharp
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Saira Farid
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Pedro Rocha
- Medical Oncology Department, Hospital del Mar, Barcelona, Spain
| | - Edurne Arriola
- Medical Oncology Department, Hospital del Mar, Barcelona, Spain
| | - Angelica D'Aiello
- Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Haiying Cheng
- Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Ryan Whitaker
- Department of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | - Luxi Chen
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Kamya Sankar
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Jeremy P Harris
- Department of Radiation Oncology, University of California Irvine Medical Center, Orange, California
| | - Misako Nagasaka
- Division of Hematology and Oncology, Department of Medicine, University of California Irvine Medical Center, Orange, California
| | | | - Ana I Velazquez
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California
| | - Meera Ragavan
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California
| | - Jessica J Lin
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Zofia Piotrowska
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Molly Wilgucki
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - Joshua Reuss
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - Heike Luders
- Klinik für Pneumologie-Evangelische Lungenklinik Berlin Buch, Berlin, Germany
| | - Christian Grohe
- Klinik für Pneumologie-Evangelische Lungenklinik Berlin Buch, Berlin, Germany
| | | | - Ella Feiner
- Perlmutter Cancer Center, New York University Langone Health, New York, New York
| | - Salman R Punekar
- Perlmutter Cancer Center, New York University Langone Health, New York, New York
| | - Shruti Gupta
- Department of Hematology and Medical Oncology, Thoracic Medical Oncology Program, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | - Ticiana Leal
- Department of Hematology and Medical Oncology, Thoracic Medical Oncology Program, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | | | - Raymond H Mak
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Elio Adib
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Sarah B Goldberg
- Department of Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut.
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7
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Bou Farhat E, Adib E, Daou M, Naqash AR, Matulonis U, Ng K, Kwiatkowski DJ, Sholl LM, Nassar AH. Benchmarking mismatch repair testing for patients with cancer receiving immunotherapy. Cancer Cell 2024; 42:6-7. [PMID: 38157866 DOI: 10.1016/j.ccell.2023.12.001] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 01/03/2024]
Abstract
Immunohistochemistry (IHC) is currently the first-line test for mismatch repair deficiency (MMR-D). Bou Farhat et al. show that mismatch repair (MMR) mutation signature by next-generation sequencing is a highly sensitive assay capable of detecting MMR-D cases that are missed in 1% and 5% of patients with MMR-D colorectal cancer (CRC) and endometrial cancer (EC), respectively. Patients with MMR-D tumors missed by IHC have similar clinical outcomes to patients with MMR-D by both IHC and mutation signature.
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Affiliation(s)
| | - Elio Adib
- Brigham and Women's Hospital, Boston, MA, USA
| | | | - Abdul Rafeh Naqash
- University of Oklahoma, Stephenson Cancer Center, Oklahoma City, OK, USA
| | | | - Kimmie Ng
- Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - Amin H Nassar
- Brigham and Women's Hospital, Boston, MA, USA; Yale Cancer Center, New Haven, CT, USA.
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8
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Fujiwara Y, Horita N, Adib E, Zhou S, Nassar AH, Asad ZUA, Cortellini A, Naqash AR. Treatment-related adverse events, including fatal toxicities, in patients with solid tumours receiving neoadjuvant and adjuvant immune checkpoint blockade: a systematic review and meta-analysis of randomised controlled trials. Lancet Oncol 2024; 25:62-75. [PMID: 38012893 DOI: 10.1016/s1470-2045(23)00524-7] [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: 07/05/2023] [Revised: 10/05/2023] [Accepted: 10/05/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Incorporating immune checkpoint blockade into perioperative cancer therapy has improved clinical outcomes. However, the safety of immune checkpoint blockade needs better evaluation, given the chances of more prolonged disease-free survival. We aimed to assess how adding immune checkpoint blockade to perioperative therapy affects treatment-related adverse events. METHODS For this systematic review and meta-analysis, we searched PubMed/MEDLINE, Embase, Web of Science, and the Cochrane Library from database inception until Aug 8, 2023, for randomised controlled trials that assessed the addition of immune checkpoint blockade to neoadjuvant or adjuvant therapy for cancer, reported treatment-related deaths, and had a design in which the experimental group assessed immune checkpoint blockade in combination with the therapy used in the control group. Meta-analysis was done to pool odds ratios (ORs) of treatment-related deaths, any grade and grade 3-4 treatment-related adverse events, serious adverse events, and adverse events leading to treatment discontinuation. The protocol is registered with PROSPERO, CRD42022343741. FINDINGS 28 randomised controlled trials with 16 976 patients were included. The addition of immune checkpoint blockade was not significantly associated with increased treatment-related deaths (OR 1·76, 95% CI 0·95-3·25; p=0·073), consistent across immune checkpoint blockade subtype (I2=0%). 40 fatal toxicities were identified across 9864 patients treated with immune checkpoint blockade, with pneumonitis being the most common (six [15·0%]); 13 fatal toxicities occurred among 7112 patients who were not treated with immune checkpoint blockade. The addition of immune checkpoint blockade increased the incidence of grade 3-4 treatment-related adverse events (OR 2·73, 95% CI 1·98-3·76; p<0·0001), adverse events leading to treatment discontinuation (3·67, 2·45-5·51; p<0·0001), and treatment-related adverse events of any grade (2·60 [1·88-3·61], p<0·0001). The immune checkpoint blockade versus placebo design primarily used as adjuvant therapy was associated with increased incidence of treatment-related deaths (4·02, 1·04-15·63; p=0·044) and grade 3-4 adverse events (5·31, 3·08-9·15; p<0·0001), whereas the addition of immune checkpoint blockade in the neoadjuvant setting was not associated with increased incidence of treatment-related death (1·11, 95% CI 0·38-3·29; p=0·84) or grade 3-4 adverse events (1·17, 0·90-1·51; p=0·23). INTERPRETATION The addition of immune checkpoint blockade to perioperative therapy was associated with an increase in grade 3-4 treatment-related adverse events and adverse events leading to treatment discontinuation. These findings provide safety insights for further clinical trials assessing neoadjuvant or adjuvant immune checkpoint blockade therapy. Clinicians should closely monitor patients for treatment-related adverse events to prevent treatment discontinuations and morbidity from these therapies in earlier-stage settings. FUNDING None.
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Affiliation(s)
- Yu Fujiwara
- Department of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel, New York, NY, USA; Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Nobuyuki Horita
- Chemotherapy Center, Yokohama City University Hospital, Kanazawa-ku, Yokohama, Japan
| | - Elio Adib
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Susu Zhou
- Department of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel, New York, NY, USA
| | - Amin H Nassar
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT, USA
| | - Zain Ul Abideen Asad
- Department of Cardiovascular Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Alessio Cortellini
- Operative Research Unit of Medical Oncology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy; Department of Surgery and Cancer, Imperial College London, London, UK
| | - Abdul Rafeh Naqash
- Medical Oncology/TSET Phase 1 Program, Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA.
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9
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Zhou Y, Börcsök J, Adib E, Kamran SC, Neil AJ, Stawiski K, Freeman D, Stormoen DR, Sztupinszki Z, Samant A, Nassar A, Bekele RT, Hanlon T, Valentine H, Epstein I, Sharma B, Felt K, Abbosh P, Wu CL, Efstathiou JA, Miyamoto DT, Anderson W, Szallasi Z, Mouw KW. ATM deficiency confers specific therapeutic vulnerabilities in bladder cancer. Sci Adv 2023; 9:eadg2263. [PMID: 37992168 PMCID: PMC10664985 DOI: 10.1126/sciadv.adg2263] [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] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 10/19/2023] [Indexed: 11/24/2023]
Abstract
Ataxia-telangiectasia mutated (ATM) plays a central role in the cellular response to DNA damage and ATM alterations are common in several tumor types including bladder cancer. However, the specific impact of ATM alterations on therapy response in bladder cancer is uncertain. Here, we combine preclinical modeling and clinical analyses to comprehensively define the impact of ATM alterations on bladder cancer. We show that ATM loss is sufficient to increase sensitivity to DNA-damaging agents including cisplatin and radiation. Furthermore, ATM loss drives sensitivity to DNA repair-targeted agents including poly(ADP-ribose) polymerase (PARP) and Ataxia telangiectasia and Rad3 related (ATR) inhibitors. ATM loss alters the immune microenvironment and improves anti-PD1 response in preclinical bladder models but is not associated with improved anti-PD1/PD-L1 response in clinical cohorts. Last, we show that ATM expression by immunohistochemistry is strongly correlated with response to chemoradiotherapy. Together, these data define a potential role for ATM as a predictive biomarker in bladder cancer.
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Affiliation(s)
- Yuzhen Zhou
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Judit Börcsök
- Danish Cancer Institute, Copenhagen, Denmark
- Biotech Research & Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark
| | - Elio Adib
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Sophia C. Kamran
- Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexander J. Neil
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Konrad Stawiski
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland
| | - Dory Freeman
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Dag Rune Stormoen
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Oncology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Zsofia Sztupinszki
- Danish Cancer Institute, Copenhagen, Denmark
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA
| | - Amruta Samant
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amin Nassar
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT, USA
| | - Raie T. Bekele
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Timothy Hanlon
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Henkel Valentine
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Ilana Epstein
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Bijaya Sharma
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kristen Felt
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Philip Abbosh
- Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, USA
- Albert Einstein Medical Center, Philadelphia, PA, USA
| | - Chin-Lee Wu
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Jason A. Efstathiou
- Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA, USA
| | - David T. Miyamoto
- Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - William Anderson
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Zoltan Szallasi
- Danish Cancer Institute, Copenhagen, Denmark
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA
- 2nd Department of Pathology, SE NAP, Brain Metastasis Research Group and Department of Bioinformatics, Semmelweis University, Budapest, Hungary
| | - Kent W. Mouw
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Radiation Oncology, Brigham and Women’s Hospital, Boston, MA, USA
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10
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Gjuka D, Adib E, Garrison K, Chen J, Zhang Y, Li W, Boutz D, Lamb C, Tanno Y, Nassar A, El Zarif T, Kale N, Rakaee M, Mouhieddine TH, Alaiwi SA, Gusev A, Rogers T, Gao J, Georgiou G, Kwiatkowski DJ, Stone E. Enzyme-mediated depletion of methylthioadenosine restores T cell function in MTAP-deficient tumors and reverses immunotherapy resistance. Cancer Cell 2023; 41:1774-1787.e9. [PMID: 37774699 PMCID: PMC10591910 DOI: 10.1016/j.ccell.2023.09.005] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 06/20/2023] [Accepted: 09/05/2023] [Indexed: 10/01/2023]
Abstract
Chromosomal region 9p21 containing tumor suppressors CDKN2A/B and methylthioadenosine phosphorylase (MTAP) is one of the most frequent genetic deletions in cancer. 9p21 loss is correlated with reduced tumor-infiltrating lymphocytes (TILs) and resistance to immune checkpoint inhibitor (ICI) therapy. Previously thought to be caused by CDKN2A/B loss, we now show that it is loss of MTAP that leads to poor outcomes on ICI therapy and reduced TIL density. MTAP loss causes accumulation of methylthioadenosine (MTA) both intracellularly and extracellularly and profoundly impairs T cell function via the inhibition of protein arginine methyltransferase 5 (PRMT5) and by adenosine receptor agonism. Administration of MTA-depleting enzymes reverses this immunosuppressive effect, increasing TILs and drastically impairing tumor growth and importantly, synergizes well with ICI therapy. As several studies have shown ICI resistance in 9p21/MTAP null/low patients, we propose that MTA degrading therapeutics may have substantial therapeutic benefit in these patients by enhancing ICI effectiveness.
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Affiliation(s)
- Donjeta Gjuka
- Department of Chemical Engineering, University of Texas, Austin, TX, USA
| | - Elio Adib
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Lank Genitourinary Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kendra Garrison
- Department of Chemical Engineering, University of Texas, Austin, TX, USA
| | - Jianfeng Chen
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuxue Zhang
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wenjiao Li
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel Boutz
- Department of Molecular Biosciences, University of Texas, Austin, TX, USA
| | - Candice Lamb
- Department of Chemical Engineering, University of Texas, Austin, TX, USA; Department of Molecular Biosciences, University of Texas, Austin, TX, USA
| | - Yuri Tanno
- Department of Chemical Engineering, University of Texas, Austin, TX, USA
| | - Amin Nassar
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Talal El Zarif
- Lank Genitourinary Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Neil Kale
- Worcester Polytechnic Institute, Worcester, MA, USA
| | - Mehrdad Rakaee
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Tarek H Mouhieddine
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, USA
| | - Sarah Abou Alaiwi
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Lank Genitourinary Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alexander Gusev
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Thomas Rogers
- Children's Medical Center Research Institute, University of Texas Southwestern, Dallas, TX, USA
| | - Jianjun Gao
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - George Georgiou
- Department of Chemical Engineering, University of Texas, Austin, TX, USA; Department of Molecular Biosciences, University of Texas, Austin, TX, USA; Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA; Department of Oncology, University of Texas Dell Medical School, LiveSTRONG Cancer Institutes, Austin, TX, USA
| | | | - Everett Stone
- Department of Molecular Biosciences, University of Texas, Austin, TX, USA; Department of Oncology, University of Texas Dell Medical School, LiveSTRONG Cancer Institutes, Austin, TX, USA.
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11
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El Zarif T, Nassar AH, Adib E, Fitzgerald BG, Huang J, Mouhieddine TH, Rubinstein PG, Nonato T, McKay RR, Li M, Mittra A, Owen DH, Baiocchi RA, Lorentsen M, Dittus C, Dizman N, Falohun A, Abdel-Wahab N, Diab A, Bankapur A, Reed A, Kim C, Arora A, Shah NJ, El-Am E, Kozaily E, Abdallah W, Al-Hader A, Abu Ghazal B, Saeed A, Drolen C, Lechner MG, Drakaki A, Baena J, Nebhan CA, Haykal T, Morse MA, Cortellini A, Pinato DJ, Dalla Pria A, Hall E, Bakalov V, Bahary N, Rajkumar A, Mangla A, Shah V, Singh P, Aboubakar Nana F, Lopetegui-Lia N, Dima D, Dobbs RW, Funchain P, Saleem R, Woodford R, Long GV, Menzies AM, Genova C, Barletta G, Puri S, Florou V, Idossa D, Saponara M, Queirolo P, Lamberti G, Addeo A, Bersanelli M, Freeman D, Xie W, Reid EG, Chiao EY, Sharon E, Johnson DB, Ramaswami R, Bower M, Emu B, Marron TU, Choueiri TK, Baden LR, Lurain K, Sonpavde GP, Naqash AR. Safety and Activity of Immune Checkpoint Inhibitors in People Living With HIV and Cancer: A Real-World Report From the Cancer Therapy Using Checkpoint Inhibitors in People Living With HIV-International (CATCH-IT) Consortium. J Clin Oncol 2023; 41:3712-3723. [PMID: 37192435 PMCID: PMC10351941 DOI: 10.1200/jco.22.02459] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [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: 11/03/2022] [Revised: 03/01/2023] [Accepted: 03/29/2023] [Indexed: 05/18/2023] Open
Abstract
PURPOSE Compared with people living without HIV (PWOH), people living with HIV (PWH) and cancer have traditionally been excluded from immune checkpoint inhibitor (ICI) trials. Furthermore, there is a paucity of real-world data on the use of ICIs in PWH and cancer. METHODS This retrospective study included PWH treated with anti-PD-1- or anti-PD-L1-based therapies for advanced cancers. Kaplan-Meier method was used to estimate overall survival (OS) and progression-free survival (PFS). Objective response rates (ORRs) were measured per RECIST 1.1 or other tumor-specific criteria, whenever feasible. Restricted mean survival time (RMST) was used to compare OS and PFS between matched PWH and PWOH with metastatic NSCLC (mNSCLC). RESULTS Among 390 PWH, median age was 58 years, 85% (n = 331) were males, 36% (n = 138) were Black; 70% (n = 274) received anti-PD-1/anti-PD-L1 monotherapy. Most common cancers were NSCLC (28%, n = 111), hepatocellular carcinoma ([HCC]; 11%, n = 44), and head and neck squamous cell carcinoma (HNSCC; 10%, n = 39). Seventy percent (152/216) had CD4+ T cell counts ≥200 cells/µL, and 94% (179/190) had HIV viral load <400 copies/mL. Twenty percent (79/390) had any grade immune-related adverse events (irAEs) and 7.7% (30/390) had grade ≥3 irAEs. ORRs were 69% (nonmelanoma skin cancer), 31% (NSCLC), 16% (HCC), and 11% (HNSCC). In the matched mNSCLC cohort (61 PWH v 110 PWOH), 20% (12/61) PWH and 22% (24/110) PWOH had irAEs. Adjusted 42-month RMST difference was -0.06 months (95% CI, -5.49 to 5.37; P = .98) for PFS and 2.23 months (95% CI, -4.02 to 8.48; P = .48) for OS. CONCLUSION Among PWH, ICIs demonstrated differential activity across cancer types with no excess toxicity. Safety and activity of ICIs were similar between matched cohorts of PWH and PWOH with mNSCLC.
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Affiliation(s)
| | | | - Elio Adib
- Dana-Farber Cancer Institute, Boston, MA
- Brigham and Women's Hospital, Boston, MA
| | | | | | | | - Paul G. Rubinstein
- Division of Hematology/Oncology, Ruth M. Rothstein CORE Center, Cook County Health and Hospital Systems (Cook County Hospital), University of Illinois Chicago Cancer Center, Chicago, IL
| | - Taylor Nonato
- Moores Cancer Center, The University of California San Diego, La Jolla, CA
| | - Rana R. McKay
- Moores Cancer Center, The University of California San Diego, La Jolla, CA
| | - Mingjia Li
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Arjun Mittra
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Dwight H. Owen
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Robert A. Baiocchi
- Division of Hematology, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Michael Lorentsen
- Division of Hematology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Christopher Dittus
- Division of Hematology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Nazli Dizman
- Yale University School of Medicine, New Haven, CT
| | | | - Noha Abdel-Wahab
- University of Texas MD Anderson Cancer Center, Houston, TX
- Assiut University Faculty of Medicine, Assiut University Hospitals, Assiut, Egypt
| | - Adi Diab
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Anand Bankapur
- Department of Surgery, Division of Urology, Cook County Health, Chicago, IL
| | - Alexandra Reed
- Department of Surgery, Division of Urology, Cook County Health, Chicago, IL
| | - Chul Kim
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - Aakriti Arora
- Medstar/Georgetown-Washington Hospital Center, Washington, DC
| | - Neil J. Shah
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Edward El-Am
- Indiana University School of Medicine, Indiana Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN
| | - Elie Kozaily
- Indiana University School of Medicine, Indiana Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN
| | - Wassim Abdallah
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, GA
| | - Ahmad Al-Hader
- Indiana University School of Medicine, Indiana Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN
| | | | - Anwaar Saeed
- Kansas University Cancer Center, Kansas City, KS
- University of Pittsburgh Hillman Cancer Center, Pittsburgh, PA
| | - Claire Drolen
- University of California Los Angeles, Los Angeles, CA
| | | | | | - Javier Baena
- 12 de Octubre University Hospital, Madrid, Spain
| | - Caroline A. Nebhan
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Tarek Haykal
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC
| | - Michael A. Morse
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC
| | - Alessio Cortellini
- Department of Surgery and Cancer, Hammersmith Hospital Campus, Imperial College London, London, United Kingdom
- Medical Oncology, Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
| | - David J. Pinato
- Department of Surgery and Cancer, Hammersmith Hospital Campus, Imperial College London, London, United Kingdom
- Department of Translational Medicine, Università Del Piemonte Orientale “A. Avogadro”, Novara, Italy
| | - Alessia Dalla Pria
- Department of Surgery and Cancer, Hammersmith Hospital Campus, Imperial College London, London, United Kingdom
- Chelsea and Westminster Hospital, London, United Kingdom
| | - Evan Hall
- University of Washington, Seattle, WA
| | | | | | | | - Ankit Mangla
- Seidman Cancer Center, University Hospitals, Cleveland, OH
| | | | | | | | | | - Danai Dima
- Taussig Cancer Institute, Cleveland Clinic Foundation, Cleveland, OH
| | - Ryan W. Dobbs
- Division of Hematology/Oncology, Ruth M. Rothstein CORE Center, Cook County Health and Hospital Systems (Cook County Hospital), University of Illinois Chicago Cancer Center, Chicago, IL
| | - Pauline Funchain
- Taussig Cancer Institute, Cleveland Clinic Foundation, Cleveland, OH
| | - Rabia Saleem
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK
| | - Rachel Woodford
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - Georgina V. Long
- Melanoma Institute Australia, Faculty of Medicine & Health, Charles Perkins Centre, The University of Sydney, and Royal North Shore and Mater Hospitals, Sydney, NSW, Australia
| | | | - Carlo Genova
- UO Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Medicina Interna e Specialità Mediche (DiMI), Università degli Studi di Genova, Genova, Italy
| | - Giulia Barletta
- UO Oncologia Medica 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Sonam Puri
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Vaia Florou
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Dame Idossa
- University of California San Francisco, San Francisco, CA
| | - Maristella Saponara
- Division of Melanoma and Sarcoma Medical Treatment, IEO European Institute of Oncology IRCCS Milan, Milan, Italy
| | - Paola Queirolo
- Division of Melanoma and Sarcoma Medical Treatment, IEO European Institute of Oncology IRCCS Milan, Milan, Italy
| | - Giuseppe Lamberti
- Department of Experimental, Diagnostic and Specialty Medicine, Università di Bologna, Bologna, Italy
| | - Alfredo Addeo
- Swiss Cancer Center Leman, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
| | | | | | | | - Erin G. Reid
- Moores Cancer Center, The University of California San Diego, La Jolla, CA
| | | | - Elad Sharon
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD
| | - Douglas B. Johnson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Ramya Ramaswami
- HIV and AIDS Malignancy Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Mark Bower
- Department of Surgery and Cancer, Hammersmith Hospital Campus, Imperial College London, London, United Kingdom
- Chelsea and Westminster Hospital, London, United Kingdom
| | - Brinda Emu
- Yale University School of Medicine, New Haven, CT
| | - Thomas U. Marron
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | | | - Kathryn Lurain
- HIV and AIDS Malignancy Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
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12
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Rakaee M, Andersen S, Giannikou K, Paulsen EE, Kilvaer TK, Busund LTR, Berg T, Richardsen E, Lombardi AP, Adib E, Pedersen MI, Tafavvoghi M, Wahl SGF, Petersen RH, Bondgaard AL, Yde CW, Baudet C, Licht P, Lund-Iversen M, Grønberg BH, Fjellbirkeland L, Helland Å, Pøhl M, Kwiatkowski DJ, Donnem T. Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial. Ann Oncol 2023; 34:578-588. [PMID: 37100205 DOI: 10.1016/j.annonc.2023.04.005] [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: 02/05/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND We aim to implement an immune cell score model in routine clinical practice for resected non-small-cell lung cancer (NSCLC) patients (NCT03299478). Molecular and genomic features associated with immune phenotypes in NSCLC have not been explored in detail. PATIENTS AND METHODS We developed a machine learning (ML)-based model to classify tumors into one of three categories: inflamed, altered, and desert, based on the spatial distribution of CD8+ T cells in two prospective (n = 453; TNM-I trial) and retrospective (n = 481) stage I-IIIA NSCLC surgical cohorts. NanoString assays and targeted gene panel sequencing were used to evaluate the association of gene expression and mutations with immune phenotypes. RESULTS Among the total of 934 patients, 24.4% of tumors were classified as inflamed, 51.3% as altered, and 24.3% as desert. There were significant associations between ML-derived immune phenotypes and adaptive immunity gene expression signatures. We identified a strong association of the nuclear factor-κB pathway and CD8+ T-cell exclusion through a positive enrichment in the desert phenotype. KEAP1 [odds ratio (OR) 0.27, Q = 0.02] and STK11 (OR 0.39, Q = 0.04) were significantly co-mutated in non-inflamed lung adenocarcinoma (LUAD) compared to the inflamed phenotype. In the retrospective cohort, the inflamed phenotype was an independent prognostic factor for prolonged disease-specific survival and time to recurrence (hazard ratio 0.61, P = 0.01 and 0.65, P = 0.02, respectively). CONCLUSIONS ML-based immune phenotyping by spatial distribution of T cells in resected NSCLC is able to identify patients at greater risk of disease recurrence after surgical resection. LUADs with concurrent KEAP1 and STK11 mutations are enriched for altered and desert immune phenotypes.
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Affiliation(s)
- M Rakaee
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Department of Clinical Pathology, University Hospital of North Norway, Tromso; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso.
| | - S Andersen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso; Department of Oncology, University Hospital of North Norway, Tromso, Norway
| | - K Giannikou
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Division of Hematology and Oncology, Cancer and Blood Disease Institute, Children's Hospital Los Angeles, Los Angeles, USA
| | - E-E Paulsen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso; Department of Pulmonology, University Hospital of North Norway, Tromso
| | - T K Kilvaer
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso; Department of Oncology, University Hospital of North Norway, Tromso, Norway
| | - L-T R Busund
- Department of Clinical Pathology, University Hospital of North Norway, Tromso; Department of Medical Biology, UiT The Arctic University of Norway, Tromso, Norway
| | - T Berg
- Department of Clinical Pathology, University Hospital of North Norway, Tromso; Department of Medical Biology, UiT The Arctic University of Norway, Tromso, Norway
| | - E Richardsen
- Department of Clinical Pathology, University Hospital of North Norway, Tromso; Department of Medical Biology, UiT The Arctic University of Norway, Tromso, Norway
| | - A P Lombardi
- Department of Medical Biology, UiT The Arctic University of Norway, Tromso, Norway
| | - E Adib
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - M I Pedersen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso
| | - M Tafavvoghi
- Department of Community Medicine, UiT The Arctic University of Norway, Tromso
| | - S G F Wahl
- Department of Oncology, St. Olav's Hospital, Trondheim University Hospital, Trondheim; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - R H Petersen
- Department of Cardiothoracic Surgery, Copenhagen University Hospital, Rigshospitalet, Copenhagen; Department of Clinical Medicine, University of Copenhagen, Copenhagen
| | - A L Bondgaard
- Department of Pathology, Copenhagen University Hospital, Rigshospitalet, Copenhagen
| | - C W Yde
- Center for Genomic Medicine, Copenhagen University Hospital, Rigshospitalet, Copenhagen
| | - C Baudet
- Center for Genomic Medicine, Copenhagen University Hospital, Rigshospitalet, Copenhagen
| | - P Licht
- Department of Cardiothoracic Surgery, Odense University Hospital, Odense, Denmark
| | - M Lund-Iversen
- Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo
| | - B H Grønberg
- Department of Oncology, St. Olav's Hospital, Trondheim University Hospital, Trondheim; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - L Fjellbirkeland
- Department of Respiratory Medicine, Oslo University Hospital, University of Oslo, Oslo
| | - Å Helland
- Department of Cancer Genetics, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Oslo; Department of Oncology, Oslo University Hospital, Oslo; Department of Clinical Medicine, University of Oslo, Oslo, Norway
| | - M Pøhl
- Department of Oncology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - D J Kwiatkowski
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, USA
| | - T Donnem
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso; Department of Oncology, University Hospital of North Norway, Tromso, Norway
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13
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Nassar AH, Abou Alaiwi S, Baca SC, Adib E, Corona RI, Seo JH, Fonseca MAS, Spisak S, El Zarif T, Tisza V, Braun DA, Du H, He M, Flaifel A, Alchoueiry M, Denize T, Matar SG, Acosta A, Shukla S, Hou Y, Steinharter J, Bouchard G, Berchuck JE, O'Connor E, Bell C, Nuzzo PV, Mary Lee GS, Signoretti S, Hirsch MS, Pomerantz M, Henske E, Gusev A, Lawrenson K, Choueiri TK, Kwiatkowski DJ, Freedman ML. Epigenomic charting and functional annotation of risk loci in renal cell carcinoma. Nat Commun 2023; 14:346. [PMID: 36681680 PMCID: PMC9867739 DOI: 10.1038/s41467-023-35833-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/04/2023] [Indexed: 01/22/2023] Open
Abstract
While the mutational and transcriptional landscapes of renal cell carcinoma (RCC) are well-known, the epigenome is poorly understood. We characterize the epigenome of clear cell (ccRCC), papillary (pRCC), and chromophobe RCC (chRCC) by using ChIP-seq, ATAC-Seq, RNA-seq, and SNP arrays. We integrate 153 individual data sets from 42 patients and nominate 50 histology-specific master transcription factors (MTF) to define RCC histologic subtypes, including EPAS1 and ETS-1 in ccRCC, HNF1B in pRCC, and FOXI1 in chRCC. We confirm histology-specific MTFs via immunohistochemistry including a ccRCC-specific TF, BHLHE41. FOXI1 overexpression with knock-down of EPAS1 in the 786-O ccRCC cell line induces transcriptional upregulation of chRCC-specific genes, TFCP2L1, ATP6V0D2, KIT, and INSRR, implicating FOXI1 as a MTF for chRCC. Integrating RCC GWAS risk SNPs with H3K27ac ChIP-seq and ATAC-seq data reveals that risk-variants are significantly enriched in allelically-imbalanced peaks. This epigenomic atlas in primary human samples provides a resource for future investigation.
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Affiliation(s)
- Amin H Nassar
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT, 06510, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Sarah Abou Alaiwi
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Sylvan C Baca
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Elio Adib
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Rosario I Corona
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center for Bioinformatics and Functional Genomics, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Marcos A S Fonseca
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sandor Spisak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA, 02142, USA
| | - Talal El Zarif
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Viktoria Tisza
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA, 02142, USA
| | - David A Braun
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT, 06510, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA, 02142, USA
| | - Heng Du
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Monica He
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Abdallah Flaifel
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Michel Alchoueiry
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Thomas Denize
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sayed G Matar
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Andres Acosta
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sachet Shukla
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yue Hou
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - John Steinharter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Gabrielle Bouchard
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Jacob E Berchuck
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Edward O'Connor
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Connor Bell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Pier Vitale Nuzzo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Gwo-Shu Mary Lee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Sabina Signoretti
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Michelle S Hirsch
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Mark Pomerantz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Elizabeth Henske
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Alexander Gusev
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- McGraw/Patterson Center for Population Sciences, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
| | - Kate Lawrenson
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center for Bioinformatics and Functional Genomics, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Toni K Choueiri
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
| | - David J Kwiatkowski
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- The Eli and Edythe L. Broad Institute, Cambridge, MA, 02142, USA.
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14
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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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15
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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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16
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Nassar AH, Adib E, Abou Alaiwi S, El Zarif T, Groha S, Akl EW, Nuzzo PV, Mouhieddine TH, Perea-Chamblee T, Taraszka K, El-Khoury H, Labban M, Fong C, Arora KS, Labaki C, Xu W, Sonpavde G, Haddad RI, Mouw KW, Giannakis M, Hodi FS, Zaitlen N, Schoenfeld AJ, Schultz N, Berger MF, MacConaill LE, Ananda G, Kwiatkowski DJ, Choueiri TK, Schrag D, Carrot-Zhang J, Gusev A. Ancestry-driven recalibration of tumor mutational burden and disparate clinical outcomes in response to immune checkpoint inhibitors. Cancer Cell 2022; 40:1161-1172.e5. [PMID: 36179682 PMCID: PMC9559771 DOI: 10.1016/j.ccell.2022.08.022] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [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: 02/03/2022] [Revised: 07/01/2022] [Accepted: 08/18/2022] [Indexed: 01/28/2023]
Abstract
The immune checkpoint inhibitor (ICI) pembrolizumab is US FDA approved for treatment of solid tumors with high tumor mutational burden (TMB-high; ≥10 variants/Mb). However, the extent to which TMB-high generalizes as an accurate biomarker in diverse patient populations is largely unknown. Using two clinical cohorts, we investigated the interplay between genetic ancestry, TMB, and tumor-only versus tumor-normal paired sequencing in solid tumors. TMB estimates from tumor-only panels substantially overclassified individuals into the clinically important TMB-high group due to germline contamination, and this bias was particularly pronounced in patients with Asian/African ancestry. Among patients with non-small cell lung cancer treated with ICIs, those misclassified as TMB-high from tumor-only panels did not associate with improved outcomes. TMB-high was significantly associated with improved outcomes only in European ancestries and merits validation in non-European ancestry populations. Ancestry-aware tumor-only TMB calibration and ancestry-diverse biomarker studies are critical to ensure that existing disparities are not exacerbated in precision medicine.
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Affiliation(s)
- Amin H Nassar
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT 06510, USA; Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Elio Adib
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Talal El Zarif
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Stefan Groha
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Elie W Akl
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Pier Vitale Nuzzo
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Tarek H Mouhieddine
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Tomin Perea-Chamblee
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kodi Taraszka
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Habib El-Khoury
- Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Muhieddine Labban
- Department of Urologic Surgery, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Christopher Fong
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kanika S Arora
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Chris Labaki
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Wenxin Xu
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Guru Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Robert I Haddad
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Kent W Mouw
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - F Stephen Hodi
- Melanoma Center, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Noah Zaitlen
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, 1275 York Avenue, New York, NY 10065, USA
| | - Nikolaus Schultz
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Michael F Berger
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Laura E MacConaill
- Department of Pathology, Brigham and Women's Hospital, Boston, MA 02115, USA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Guruprasad Ananda
- Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Toni K Choueiri
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Deborah Schrag
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jian Carrot-Zhang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Alexander Gusev
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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17
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El Zarif T, Pond G, Nassar A, Adib E, Freeman D, Thomas J, Kalluri U, Matar A, Kelly E, Curran C, Kadamkulam Syriac A, McClure H, Davidsohn M, Labaki C, Saliby R, Hobeika C, Nuzzo P, Berchuck J, Choueiri T, Sonpavde G. 116P Any regression of tumor (ART) as an intermediate endpoint in patients (pts) treated with immune checkpoint inhibitors (ICI): A pan-cancer analysis. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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18
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Berchuck JE, Adib E, Abou Alaiwi S, Dash AK, Shin JN, Lowder D, McColl C, Castro P, Carelli R, Benedetti E, Deng J, Robertson M, Baca SC, Bell C, McClure HM, El Zarif T, Davidsohn MP, Lakshminarayanan G, Rizwan K, Skapura DG, Grimm SL, Davis CM, Ehli EA, Kelleher KM, Seo JH, Mitsiades N, Coarfa C, Pomerantz MM, Loda M, Ittmann M, Freedman ML, Kaochar S. The Prostate Cancer Androgen Receptor Cistrome in African American Men Associates with Upregulation of Lipid Metabolism and Immune Response. Cancer Res 2022; 82:2848-2859. [PMID: 35731919 PMCID: PMC9379363 DOI: 10.1158/0008-5472.can-21-3552] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 05/03/2022] [Accepted: 06/14/2022] [Indexed: 11/16/2022]
Abstract
African-American (AA) men are more likely to be diagnosed with and die from prostate cancer than European American (EA) men. Despite the central role of the androgen receptor (AR) transcription factor in prostate cancer, little is known about the contribution of epigenetics to observed racial disparities. We performed AR chromatin immunoprecipitation sequencing on primary prostate tumors from AA and EA men, finding that sites with greater AR binding intensity in AA relative to EA prostate cancer are enriched for lipid metabolism and immune response genes. Integration with transcriptomic and metabolomic data demonstrated coinciding upregulation of lipid metabolism gene expression and increased lipid levels in AA prostate cancer. In a metastatic prostate cancer cohort, upregulated lipid metabolism associated with poor prognosis. These findings offer the first insights into ancestry-specific differences in the prostate cancer AR cistrome. The data suggest a model whereby increased androgen signaling may contribute to higher levels of lipid metabolism, immune response, and cytokine signaling in AA prostate tumors. Given the association of upregulated lipogenesis with prostate cancer progression, our study provides a plausible biological explanation for the higher incidence and aggressiveness of prostate cancer observed in AA men. SIGNIFICANCE With immunotherapies and inhibitors of metabolic enzymes in clinical development, the altered lipid metabolism and immune response in African-American men provides potential therapeutic opportunities to attenuate racial disparities in prostate cancer.
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Affiliation(s)
- Jacob E. Berchuck
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Elio Adib
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Sarah Abou Alaiwi
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Amit K. Dash
- Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Jin Na Shin
- Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Dallin Lowder
- Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Collin McColl
- Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Patricia Castro
- Department of Pathology, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Ryan Carelli
- Avera Institute for Human Genetics, Sioux Falls, South Dakota
| | - Elisa Benedetti
- Avera Institute for Human Genetics, Sioux Falls, South Dakota
| | - Jenny Deng
- Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Matthew Robertson
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Sylvan C. Baca
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Connor Bell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Heather M. McClure
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Talal El Zarif
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Matthew P. Davidsohn
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Gitanjali Lakshminarayanan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kinza Rizwan
- Department of Medicine, Baylor College of Medicine, Houston, Texas
| | | | - Sandra L. Grimm
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Christel M. Davis
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York
| | - Erik A. Ehli
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York
| | - Kaitlin M. Kelleher
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Nicholas Mitsiades
- Department of Medicine, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
| | - Cristian Coarfa
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
| | - Mark M. Pomerantz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Massimo Loda
- Avera Institute for Human Genetics, Sioux Falls, South Dakota
| | - Michael Ittmann
- Department of Pathology, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Matthew L. Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Salma Kaochar
- Department of Medicine, Baylor College of Medicine, Houston, Texas
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
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19
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El Zarif T, Nassar A, Adib E, Huang J, McKay RR, Dobbs R, Dizman N, Drolen C, Kozaily E, Saeed A, Nebhan C, Lorentsen M, Baena J, Dalla Pria A, Baden L, Ramaswami R, Choueiri TK, Lurain KA, Sonpavde GP, Naqash AR. Pan-cancer (ca) analysis of the safety and efficacy of immune checkpoint inhibitors (ICI) in patients (pts) living with HIV (PLWH): Results from the international CATCH-IT consortium. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.2649] [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: 11/20/2022] Open
Abstract
2649 Background: PLWH and ca are inadequately represented in clinical trials evaluating ICI especially in the setting of low CD4 counts (ct) and elevated HIV viral loads (VL). We assembled an international cohort of PLWH and ca treated with ICI to evaluate toxicity profiles and clinical outcomes. Methods: We retrospectively collected data on 204 PLWH and ca receiving ≥ 1 cycle of ICI between 2015-2021 at 14 academic medical centers in the US and Europe. Immune-related adverse events (irAEs) were graded per the Common Terminology Criteria for Adverse Events (CTCAE) V5.0. Baseline CD4 ct, CD8 ct and HIV VL were collected within 3 months (mo) of ICI initiation when available. Fisher’s exact test was performed to compare categorical variables. Median (med) Overall Survival (OS) and Objective Response Rate (ORR) were calculated for 186 pts treated in the metastatic (met) setting. Results: Among 204 PLWH treated with ICI, 174 (85%) were cis-gender males. 61 (31%) were Black and 34 (18%) were Hispanic/Latinx. Pts were treated with pembrolizumab (n=93), nivolumab (n=71), atezolizumab (n= 20), nivolumab and ipilimumab (n=13), durvalumab (n=6), or avelumab (n=1). Med number of prior lines of systemic therapy was 1 (range: 0-5). Among pts with available baseline data, 36/133 (27%) had CD4 ct <200 cells/µL while 12/136 (9%) had VL ≥400 copies/mL. irAEs of any grade occurred in 43 (21%) pts and 13 (7%) were grade ≥3 while 19 (9%) required steroids. Pts with CD4 ct <200 cells/µL experienced fewer irAEs than pts with CD4 ct ≥200 cells/µL (2/36 vs 26/97; p<0.01). The incidence of any grade irAEs was similar between pts with CD4/CD8 ratio <0.4 vs ≥0.4 (8/54 vs 18/72; p=0.16) and between pts with HIV VL ≥400 vs <400 copies/mL (1/12 vs 28/124; p=0.46). Clinical outcomes are shown in the table below. Among 29 pts with met non-small cell lung ca (NSCLC) with available CD4 ct, the ORR of pts with CD4 ct <200 cells/µL was 13% (95% CI:0-53) vs 38% (95% CI:18-62) in pts with CD4 ct ≥ 200 cells/µL (1/8 vs 8/21; p=0.38). Conclusions: In the largest dataset to our knowledge, we demonstrate tolerability and activity of ICI among PLWH regardless of CD4 ct and HIV VL levels. CD4 ct <200 cells/µL may be associated with a lower incidence of irAEs. An analysis of a larger cohort is underway. [Table: see text]
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Affiliation(s)
| | | | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | - Rana R. McKay
- University of California San Diego Health, La Jolla, CA
| | | | - Nazli Dizman
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Claire Drolen
- University of California-Los Angeles, Los Angeles, CA
| | - Elie Kozaily
- Indiana University School of Medicine, Indianapolis, IN
| | - Anwaar Saeed
- University of Kansas Cancer Center, Westwood, KS
| | | | | | - Javier Baena
- Department of Medical Oncology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | | | | | - Ramya Ramaswami
- Division of Experimental Medicine, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | | | | | | | - Abdul Rafeh Naqash
- Medical Oncology/ TSET Phase 1 Program, Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK
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20
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Guram K, Huang J, Navani V, Xie W, El Zarif T, Adib E, Agarwal N, Li H, Labaki C, Labban M, Ruiz Morales JM, Choueiri TK, Heng DYC, Rose BS, McKay RR. Comparison of outcomes for Hispanic and non-Hispanic patients with advanced renal cell carcinoma in the International Metastatic Renal Cell Carcinoma Database. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.6590] [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: 11/20/2022] Open
Abstract
6590 Background: Epidemiologic studies suggest that Hispanic patients with renal cell carcinoma (RCC) have worse outcomes than non-Hispanic White patients (NHW). It is unclear if this disparity is related to inherent biological differences or patients’ social determinants of health (SDOH). Utilizing the International Metastatic Renal Cell Carcinoma Database (IMDC) of patients with RCC primarily receiving care at academic medical centers, we investigated outcomes of Hispanic and NHW patients with advanced RCC. Methods: Eligible patients included patients who self-reported being non-Black Hispanic or NHW with locally advanced or metastatic RCC initiating systemic therapy. The primary endpoint was overall survival (OS) and secondary endpoint was time to treatment failure (TTF) for the first-line therapy. Kaplan Meier curves were constructed for OS and TTF. Cox regression was used to estimate hazard ratios (HR) adjusted for confounding variables. Results: The cohort included 1,563 patients, of which 181 (11.6%) were Hispanic. Most patients were male (74%) with clear cell histology (82%). IMDC risk groups were 18%, 58%, 24% for favorable, intermediate, and poor risk, respectively, and were similar by ethnic groups. Compared to NHW, Hispanic patients were younger at diagnosis (median 57 vs 59 years, p = 0.036), less likely to have > 1 metastatic site (61% vs 77%, p < 0.001) and bone metastases (24% vs 33%, p = 0.009). 1,178 patients (124 Hispanic vs. 1,054 NWH) received treatment before 2018, 385 patients (57 Hispanic vs. 328 NWH) received treatment during or after 2018. With regards to first line therapy, the majority received tyrosine kinase inhibitor (TKI) monotherapy (70%), 10% received immunotherapy (IO) + IO, 9% received TKI + IO, 4% received IO monotherapy, and 8% received other treatments. Median TTF was 7.8 months (95% Confidence Interval (CI): 6.2-9.0) in Hispanic patients and 7.5 months (95% CI: 6.9-8.1) in NHW patients. On multivariable analysis, there was no significant difference in TTF between Hispanic and NHW patients (HR 1.05, 95% CI: 0.89-1.25, p = 0.558). Significant predictors of TTF were presence of unfavorable site of metastases, histology, IMDC risk group, and therapy type. Median OS was 38.0 months (95% CI: 28.1-59.2) in Hispanic patients and 35.7 months (95% CI: 31.9-39.2) in NHW patients. On multivariable analysis, there was no significant difference in OS between Hispanic and NHW patients (HR 1.07, 95% CI: 0.87-1.32, p = 0.544). Significant predictors of OS were number of metastatic sites, presence of unfavorable metastasis, histology, IMDC risk group, and therapy type. Conclusions: In this analysis, we did not detect a difference in OS or TTF for Hispanic patients with RCC. Our data suggest that access to care (as available in a tertiary cancer hospital) can mitigate the historic difference in outcomes in Hispanic versus NWH patients.
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Affiliation(s)
- Kripa Guram
- VA San Diego Healthcare System, San Diego, CA
| | | | | | | | | | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Neeraj Agarwal
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Haoran Li
- Tom Baker Cancer Centre, Toronto, ON, Canada
| | | | - Muhieddine Labban
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | | | | | | | - Brent S. Rose
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA
| | - Rana R. McKay
- University of California San Diego Health, La Jolla, CA
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21
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Nassar A, Adib E, El Zarif T, Mouhieddine TH, El-Am E, Alaiwi SA, Heald B, Palovcak E, Esplin ED, Choueiri TK, Kwiatkowski DJ, Sonpavde GP. Germline variants across self-reported racial populations with urothelial carcinoma (UC). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.4569] [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: 11/20/2022] Open
Abstract
4569 Background: Prior studies of the UC germline landscape centered around White patients with minimal representation of other racial populations. Herein, we examine the frequency of germline pathogenic and likely pathogenic (P/LP) variants in 2,582 patients with UC from various racial populations. Methods: 2,582 patients with UC underwent germline testing of 1 to 126 genes using massively parallel sequencing with customized capture bait-sets to analyze exonic regions, flanking intronic regions, and copy number alterations (CNAs). P/LP variants including single nucleotide variants, indels and CNAs were reported. Fisher’s Exact test and multivariable logistic regression were used after accounting for the number of genes tested, age at diagnosis, site of disease (upper versus lower tract), gender, family history of UC, and personal history of any cancer. Results: Among the 2,582 patients with UC, median age at diagnosis was 63 years (range, 4-90) and 1158 (44.8%) were female. There were 58 Asians (2.2%), 110 Blacks (4.3%), and 2,414 Whites (93.5%). Overall, 1,639/2,582 (63.5%) patients had a personal history of another cancer and 284/2,393 (11.9%) had history of UC in a family member. 465 P/LP variants were identified in 18% of patients, among whom 286 (11.1%) harbored ≥1 clinically actionable variants. P/LP in cancer-associated genes were most frequently reported in MSH2 (72/2,512, 2.9%), monoallelic MUTYH (45/2,136, 2.1%), BRCA2 (44/2,299, 1.9%) and MSH6 (47/2,511, 1.9%). Patients with upper tract UC had significantly more P/LP (72/247, 29.1%) compared to lower tract UC (332/2,076, 16%, p= 1.3x10-5). Age at diagnosis, gender, personal history of other primary cancers, or family history of UC were not significantly associated with the prevalence of P/LP variants. There were no significant differences ( p= 0.33) in P/LP variants across Asians (11/58, 19.0%), Blacks (14/110, 12.7%), and Whites (440/2,414, 18.2%) although a trend towards lower P/LP in Blacks is notable. Compared to Whites, Blacks and Asians harbored significantly more variants of unknown significance (VUS, Whites vs Blacks: 241/2414 vs 25/110, p= 0.0015; Whites vs Asians: 241/2414 vs 17/58, p= 4e-7). Asians with UC harbored significantly more P/LP variants in ATM (2/50, 4%) compared to Whites (30/2122, 1.4%, OR = 1.1 [95% CI, 1.0-1.2]) and Asian controls from the gnomAD Database. There were no significant differences across racial populations for other highly altered genes ( BRCA1/2, CHEK2, FH, MSH2/6, MUTYH) or for actionable variants. Conclusions: Germline P/LP variants were identified in 18% of patients with UC and were enriched in upper tract tumors. Although no significant differences in P/LP prevalence were noted among patients of different racial populations, a trend towards lower P/LP in Blacks and a higher rate of VUS in Asians and Blacks suggest that ongoing analysis by genetic ancestry may provide richer admixture data and insights.
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Affiliation(s)
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | | | | | | | | | | | | | | | - David J. Kwiatkowski
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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Adib E, Nassar A, El Zarif T, Kale N, Rakaee M, Mouhieddine TH, Abou Alaiwi S, Freeman D, Labban M, Akl E, Haddad RI, Hodi FS, Sonpavde GP, Giannakis M, Braun DA, Gusev A, Choueiri TK, Overstreet E, Stone E, Kwiatkowski DJ. Dual CDKN2A/MTAP loss compared to CDKN2A loss alone and response to immune-checkpoint inhibitors (ICI) in advanced solid tumors. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.2622] [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: 11/20/2022] Open
Abstract
2622 Background: We previously showed that CDKN2A genomic alterations (GAs) are associated with resistance to ICI (Adib E, Clinical Cancer Research, 2021). The majority of such GAs are homozygous deletions, which commonly (̃50-80%) include MTAP, located 100kb telomeric of CDKN2A. MTAP loss leads to 5′-deoxy-5′-methylthioadenosine (MTA) accumulation and immunosuppressive effects in tumors. We examined combined CDKN2A/MTAP deletion vs. CDKN2A deletion/mutation alone as predictors of poor ICI response. Methods: We curated clinical data for cancer patients (pts) treated with ICI at Dana-Farber Cancer Institute through 6/2021, who had targeted panel sequencing. Inclusion criteria were: ICI in metastatic setting, ≥2 cycles, no concurrent systemic therapy, cancer type with > 50 pts treated. CDKN2A/ MTAP GAs were defined as a deep deletion affecting both genes; CDKN2A only GAs included both homozygous deletions and truncating mutations. Hazard ratios (HR) for overall survival (OS) and time-to-treatment failure (TTF) were derived using multivariable Cox regression, adjusted for prior lines of therapy, treatment type (single vs. combination ICI), tumor mutational burden and ECOG PS. We also used a machine learning approach to quantify the density of tumor-infiltrating lymphocytes (TILs) in digital whole-slide H&E images of 144 melanoma pts with available genomic data. Results: 921 pts with 6 cancer types were studied: non-small cell lung cancer (NSCLC, n = 366), melanoma (mel, n = 228), urothelial carcinoma (UC, n = 120), esophagogastric carcinoma (EGC,n = 90), head and neck squamous cell carcinoma (HNSCC, n = 58), and renal cell carcinoma (RCC, n = 59). UC pts with MTAP/ CDKN2A GAs had shorter OS and TTF than pts without GA in either gene (OS HR = 1.9[1.1-3.4], p = 0.005; TTF HR = 1.8[1.0-3.1], p = 0.0016) after adjusting for covariates. Similar results were seen for melanoma (OS HR = 2.5[1.4-2.6],p = 0.00065; TTF HR = 1.9[1.1-3.2],p = 0.018). There was no significant difference between pts with CDKN2A GA only and those without GA in either gene for OS or TTF in either UC or melanoma. CDKN2A/MTAP status was not associated with significantly shorter survival for NSCLC and EGC; while the analysis was confounded by HPV events for HNSCC, and underpowered for RCC. ML-based analysis of digital slides for melanoma, showed that tumors with CDKN2A GAs only (n = 42) had similar median density of TILs compared to tumors without GAs in either gene (n = 84; 920 vs. 943 TILs/mm2; p = 0.42). In contrast, tumors with co-occurring CDKN2A/ MTAP GAs had lower TIL density (529 TIL/mm2, n = 17 vs. 925 TIL/mm2, n = 126 (pooled); p = 0.018, Wilcoxon rank sum). Conclusions: In this study, we showed that co-occurrence of MTAP/CDKN2A GAs, but not CDKN2A GA only, was associated with worse outcomes in pts with UC and melanoma treated with ICI. Lower TIL density was also seen in melanoma tissue samples with combined MTAP/CDKN2A GA.
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Affiliation(s)
- Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | | | - Neil Kale
- Worcester Polytechnic Institute, Worcester, MA
| | | | | | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Muhieddine Labban
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Eli Akl
- Johns Hopkins Medical Institute, Baltimore, MD
| | - Robert I. Haddad
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | | | | | | | - David A. Braun
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | | | | | | | | | - David J. Kwiatkowski
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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Giannikou K, Azim AA, Adib E, Schaefer IM, Kesten N, Taing L, Zhu Z, Hornick J, Hirsch MS, Long H, Wagner AJ, Hemming ML, Kwiatkowski DJ. Distinct oncogenic signatures in malignant PEComa and leiomyosarcoma identified by integrative RNA-seq and H3K27ac ChIP-seq analysis. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.11552] [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: 11/20/2022] Open
Abstract
11552 Background: Malignant perivascular epithelioid cell tumor (PEComa) and leiomyosarcoma (LMS) are two sarcomas with overlapping morphologic and immunophenotypic features which can make their diagnostic distinction challenging. We aimed to characterize the transcriptional and epigenetic landscape of PEComa and LMS to identify distinguishing features. Methods: We performed whole transcriptome RNA-sequencing on 19 PEComas and compared their gene expression profile to 259 sarcomas from The Cancer Genome Atlas (TCGA) including 104 LMS. ChIP-sequencing for H3K27ac, a histone modification associated with activation of nearby genes/open chromatin, was conducted on 9 malignant PEComas and 12 LMS and were compared with publicly available data from 4 other sarcoma subtypes (chordoma; osteosarcoma; undifferentiated pleomorphic sarcoma; rhabdomyosarcoma; n = 29 tumors). Results: Genome-wide epigenetic and transcriptional analyses revealed overlapping patterns between PEComa and LMS, which were distinct from other sarcomas. However, we also identified a set of highly expressed and epigenetically distinct transcripts which may represent diagnostic?biomarkers: e.g., DAPL1, MLANA, SULT1C2, GPR143, and CHI3L1 for PEComa; and MYOCD, WDFC2, DES, MYH11, and CNN1 for LMS; each of which showed >17x fold higher expression for each tumor entity by DESeq2 (FDR<0.0001). Gene Set Enrichment Analyses (GSEA) demonstrated enrichment in the KEGG Lysosome pathway for PEComa (FDR=0.11), whereas myogenesis and smooth muscle contraction pathways were enriched in LMS (FDR=0.09). Integrative transcriptomic and epigenetic analyses revealed a unique set of master core transcription factors for each tumor type including among others MYOCD for LMS; MITF for PEComa, which require further functional investigation. Twelve selected genes including new as well as known and standard diagnostic markers (e.g., DAPL1, MLANA, GPR143, PNL2, CHI3L1, DES, MYH11, ER, CD68, PU.1, pS6 and CNN1) were validated by immunohistochemistry (IHC) in multiple sections from PEComa and LMS (n = 26). The combination of three melanocytic markers (HMB45, MLANA, PNL2) and pS6 can distinguish LMS from PEComas (**** p<0.0001). IHC for CD68 and PU.1 macrophage markers did not show any difference regarding the degree of immune infiltration in PEComa vs. LMS. Conclusions: Our studies revealed novel epigenetic signatures translating into lysosomal and melanocytic proteins for PEComa and myogenic proteins for LMS, which may serve as useful diagnostic biomarkers in the distinction of these two sarcoma subtypes.
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Affiliation(s)
- Krinio Giannikou
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Ahmad-Abdel Azim
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | - Nikolas Kesten
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Len Taing
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Zachary Zhu
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jason Hornick
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Michelle S. Hirsch
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Henry Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Andrew J. Wagner
- Center for Sarcoma and Bone Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Matthew Louis Hemming
- Center for Sarcoma and Bone Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - David J. Kwiatkowski
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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Probst CK, Adib E, Losko M, Du H, Hirsch MS, Giannikou K, Kwiatkowski DJ. TSC1-mutant bladder cancer expression signature in relation to nuclear localization of TFE3 and potential for targetable dependency. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e16532] [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: 11/20/2022] Open
Abstract
e16532 Background: Mutation and inactivation of the tumor suppressor gene TSC1 is a recurrent (6-10%) event in bladder cancer, but whether it functions as a driver event for tumor development has been uncertain. Methods: We performed differential gene expression and pathway analyses using RNA-seq data from the curated TCGA TSC1 mutant BLCA (n = 26) and TSC1 wild-type BLCA (n = 382) cohort and compared to an internal cohort of putative TSC1/TSC2-driven tumors (n = 63). Mechanistic studies, as well as RNA-seq and H3K27ac ChIP-seq analyses, were conducted in 2 TSC1 mutant/WT BLCA cell lines. Results: Comparison of The Cancer Genome Atlas (TCGA) TSC1-mutant bladder cancers ( TSC1mBLCA) with TCGA TSC1 wildtype tumors ( TSC1WTBLCA) identified a conserved TSC-associated expression signature, similar to ones seen in syndromic TSC tumors. GSEA and DESeq2 analyses implicated both mTORC1 hyperactivation, as well as activation of lysosomal pathways in TSC1mBLCA. We validated our findings by IHC analysis of a separate cohort of TSC1mBLCA (n = 5), compared to TSC1WTBLCA (n = 5). In addition, we found that TFE3, a transcriptional regulator of lysosomal gene expression, was relatively highly expressed in BLCA (compared to other MiT-TFE genes) and was localized to the nucleus in TSC1mBLCA but not in TSC1WTBLCA. Mechanistic studies of two TSC1mBLCA cell lines and their respective TSC1 addback derivatives, recapitulated the phenotype found in human tumors and demonstrated that TFE3 was both post-translationally modified and predominantly nuclear in TSC1-null cell lines compared to TSC1 addbacks. RNA-seq and H3K27ac ChIP-Seq analyses showed that TSC1mBLCA cell lines retained elements of the TSC-associated expression signature that was seen in TSC1mBLCA tumors, confirming differential activation of TFE3 in response to TSC1 loss. Nuclear localization of TFE3 in TSC1mBLCA cell lines was only partially reversed by rapamycin treatment and was unaffected by treatment of Torin1. SiRNA mediated knockdown of TFE3 significantly decreased cell growth and viability in TSC1mBLCA cell lines and did not result in compensatory upregulation of TFEB and MITF. Conclusions: Our findings indicate that TSC1 mutant bladder tumors retain elements of a conserved transcriptional signature that is characterized by nuclear localization and activation of TFE3. Aberrant TFE3 activation likely contributes to TSC1mBLCA development and may therefore be amenable to targeted therapy.
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Affiliation(s)
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | - Heng Du
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Michelle S. Hirsch
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Krinio Giannikou
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - David J. Kwiatkowski
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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Labban M, Adib E, Langbein B, Chen X, Nguyen DD, Cole AP, Lipsitz SR, Sun M, Trinh QD. Risk and predictors of ipilimumab-associated cardiac adverse events among patients treated for melanoma: A national cohort analysis. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e14592] [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: 11/20/2022] Open
Abstract
e14592 Background: Ipilimumab is a CTLA-4 inhibitor widely used to treat advanced melanoma. While ipilimumab-induced cardiac immune-related adverse events (irAE) have been reported, there is a paucity of data from large cohorts. We investigated the risk and predictors of ipilimumab-associated cardiac irAE in a national cohort of patients with cutaneous melanoma. Methods: Using SEER-Medicare linked data, we compared the risk of cardiac irAE between patients treated with ipilimumab with or without concomitant treatment for cutaneous melanoma and controls not treated with ipilimumab following a primary diagnosis of cutaneous melanoma. We excluded patients ≤65 years and patients with cardiac comorbidities diagnosed within one year prior to the initiation of melanoma treatment. The primary endpoint was the incidence of at least one cardiac irAE after ipilimumab initiation including acute pericarditis, myocarditis, cardiomyopathy, conduction disorders, cardiac dysthymias, acute heart failure, and takotsubo syndrome. To estimate the risk of cardiac irAE, we conducted a multivariable competing-risk analysis adjusting for death of any cause within one year of treatment as a competing event. Then, we constructed a stepwise logistic regression to assess the predictors of having at least one cardiac irAE within one year of ipilimumab initiation. Subgroup analysis was conducted among patients who received ipilimumab only. The models were adjusted for patient demographics, disease stage, Charlson comorbidity index (CCI), history of hypertension, autoimmune disease, end stage renal disease (ESRD), chronic anticoagulant, and steroid use. Results: The cohort included 715 patients treated with ipilimumab and 22,070 controls. In the ipilimumab arm, 23.4% had metastatic disease, 9.5% had a history of autoimmune disease, and 2.2% had CCI≥2. The incidence rates of cardiac irAE among patients who received ipilimumab and among the control group were 23.3 and 13.6 per 1,000 person-years, respectively. We found that patients who received ipilimumab had a higher risk of cardiac irAE compared to controls (adjusted hazard ratio 1.87; 95%CI 1.50-2.32; p < 0.001). In addition to ipilimumab treatment, other predictors of cardiac irAE included male gender, older age, patients with metastatic disease, history of autoimmune disease, hypertension, ESRD, anticoagulant use, and CCI≥2. The predictors of cardiac irAE were also consistent in the subgroup analysis of patients who received ipilimumab only. Conclusions: Patients who received ipilimumab with or without concomitant treatment for cutaneous melanoma had a higher risk for cardiac irAE. Predictors of cardiac irAE help tailor therapy according to patients’ risk profiles.
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Affiliation(s)
- Muhieddine Labban
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Bjoern Langbein
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Xi Chen
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - David-Dan Nguyen
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Alexander P Cole
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Stuart R. Lipsitz
- Center for Surgery and Public Health, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Maxine Sun
- Dana Farber Cancer Institute, Boston, MA
| | - Quoc-Dien Trinh
- Division of Urological Surgery and the Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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Rakaee M, Adib E, Ricciuti B, Sholl LM, Shi W, Alessi JVM, Cortellini A, Fulgenzi CA, Pinato DJJ, Hashemi SMS, Bahce I, Houda I, Jamaly S, Andersen S, Donnem T, Awad MM, Kwiatkowski DJ. Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.9065] [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: 11/20/2022] Open
Abstract
9065 Background: The presence of Tertiary Lymphoid Structures (TLS) in multiple cancer types has been recognized as a potential predictive biomarker for response to immune-checkpoint blockade. However, there is no standardized method to quantify their presence. In this context, Artificial Intelligence (AI)-based assessment of histology images may well contribute to improve reproducibility, accuracy and speed of TLS quantification. Methods: We developed an automated workflow for quantification of TLS on digitized H&E slides through A) pixel-level classification of tissue using supervised artificial neural networks model, B) object-level cell classification of candidate TLS regions, C) merging the two approaches for curation and validation of TLS versus non-TLS regions. 433 advanced stage non-small cell lung cancer (NSCLC) patients treated with first or subsequent line of anti-PD-(L)1 single agent at DFCI were included in this study. Results: TLS were detected in 37% (n = 161) of the patients H&E slides, with the highest score of 4.7 TLS per mm2 (interquartile range: Q1 = 0, Q2 = 0, Q3 = 0.03 TLS/mm2). TLS density (per mm2) was significantly higher in surgically resected (n = 246; TLSPOS= 49%) compared to bioptic samples (n = 187; TLSPOS= 21%). No association was observed between TLS and tumor mutational burden (TMB) or PD-L1 protein expression as continuous variables. Among clinically actionable mutations, EGFR (all subtypes) mutated patients (n = 38) had a significantly lower number of TLS compared to patients without EGFR mutations. Patients with ≥ 0.01 TLS/mm2 had a significantly higher objective response rate (32% vs 22%, p = 0.03), a significantly longer median progression-free survival (PFS, 4.8 vs 2.7 months, HR: 0.73, 95% CI: 0.59-0.90, p = 0.004), and a significantly improved median overall survival (OS, 16.5 vs 12.5 months, HR: 0.72, 95% CI: 0.57-0.92, p = 0.008). In multivariable analysis, after adjusting for PD-L1 (≥ vs < 50%), TMB (≥ vs < 10 mu/Mb), sex, age, ECOG score, smoking and line of treatment, TLS/mm2 (≥ vs < 0.01) levels were found to be an independent positive predictive factor for both PFS (HR:0.69, 95% CI: 0.54-0.88, p = 0.003) and OS (HR: 0.70, 95% CI: 0.52-0.93, p = 0.01). Conclusions: These findings suggest that TLS status is an independent predictor of immunotherapy effectiveness in NSCLC, with predictive value similar to that of PD-L1 expression and TMB. This novel AI system has potential for automated identification and quantification of the TLS on digital histopathological slides, and could be utilized in a standard pathology workflow with relative ease. These findings are currently being validated in other solid tumors and cohorts.
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Affiliation(s)
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Lynette M. Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Weiwei Shi
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | - Alessio Cortellini
- Department of Surgery and Cancer, Imperial College London, Faculty of Medicine, Hammersmith Hospital, London, United Kingdom; Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, London, United Kingdom
| | - Claudia A.M. Fulgenzi
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | | | | | - Idris Bahce
- VU medisch centrum School of Medical Sciences, Amsterdam, Netherlands
| | | | - Simin Jamaly
- UiT The Arctic University of Norway, Tromso, Norway
| | - Sigve Andersen
- Institute of Clinical Medicine, University of Tromsø/Department of Oncology, University Hospital of Tromsø, Tromsø, Norway
| | - Tom Donnem
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - David J. Kwiatkowski
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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Rakaee M, Adib E, Ricciuti B, Sholl LM, Alessi JVM, Cortellini A, Fulgenzi CA, Pinato DJJ, Hashemi SMS, Bahce I, Houda I, Väyrynen JP, Richardsen E, Busund LTR, Andersen S, Donnem T, Awad MM, Kwiatkowski DJ. Digital quantification of lymphocytic infiltration on routine H&E images and immunotherapy response in non–small cell lung cancer. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.9066] [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: 11/20/2022] Open
Abstract
9066 Background: Current biomarker(s) for immuno-oncology (IO) therapy response prediction in lung cancer are limited. Additional predictive biomarkers are useful to help refine patient selection and guide precision therapy. Methods: Biopsy and surgical specimens stained with hematoxylin-eosin (H&E) were subjected to whole-slide scanning for 446 advanced stage non-small cell lung cancer (NSCLC) treated with single agent immune check point inhibitors (ICI). A machine learning model was trained on H&E images for classification of tumor infiltrating lymphocytes (TILs), tumor cells, and stromal cells in specific tissue types. Results: TIL levels were found to be highly variable, with a range of 12 to 4270 cells/mm2, and median of 319 (Q1 = 159, Q3 = 681). TIL levels were assessed on tissue samples from multiple organs which had shown primary or metastatic NSCLC, and were similar across all specimen sites except the liver, for which median TIL levels were significantly lower, at 90 cells/mm2. There was no correlation between tumor mutational burden (TMB) and TIL levels, while high TIL levels were correlated with high PD-L1 (≥ 50%) expression. Patients who experienced a partial/complete response to ICI therapy had a trend to higher median TILs compared to those who had progressive/stable disease (350 versus 310 cells/mm2, P = 0.09). In a multivariable analysis after controlling for covariates (incl. sex, age, cigarette smoking, ECOG, PD-L1, TMB & treatment line), a higher TIL level (≥ 250 cells/mm2) was an independent predictor of IO response for both progression-free survival (PFS; HRadj 0.70; 95% CI, 0.55 - 0.89; P = 0.003) and overall survival (HRadj 0.73; 95% CI, 0.56 - 0.95; P = 0.02). In a ROC analysis considering single biomarkers, PD-L1 had the highest AUC (0.68, P < 0.001), while TIL (AUC = 0.53, P = 0.08) and TMB (AUC = 0.55, P = 0.05) had similar AUC values for classifying responders from non-responders based on objective response rate. Using weighted linear regression approach to combine the biomarkers, paired PD-L1/TMB had the greatest AUC (0.70, P < 0.001) compared to PD-L1 single assay. In the PD-L1 negative (< 1%, N = 50) subgroup, TIL levels had superior predictive performance for classification of IO responders (AUC = 0.77, P = 0.02) compared to TMB (AUC = 0.57, P = 0.3), such that patients with a high TIL level (≥ 250 cells/mm2) had an improved PFS (median PFS: 2.7 vs 2.2 months; HR = 0.48; 95% CI, 0.26 - 0.87; P = 0.02). Conclusions: Digital TIL quantification with use of machine learning is feasible. TIL levels appear to be a robust and independent biomarker of likelihood of response to IO treatment in NSCLC, especially in the PD-L1 negative subgroup. The findings of this study are under validation in additional lung cancer cohorts.
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Affiliation(s)
- Mehrdad Rakaee
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Lynette M. Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | | | - Alessio Cortellini
- Department of Surgery and Cancer, Imperial College London, Faculty of Medicine, Hammersmith Hospital, London, United Kingdom; Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, London, United Kingdom
| | - Claudia A.M. Fulgenzi
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | | | | | - Idris Bahce
- VU medisch centrum School of Medical Sciences, Amsterdam, Netherlands
| | | | | | - Elin Richardsen
- Department of Medical Biology, UiT The Arctic University of Tromsø, Tromsø, Norway
| | | | - Sigve Andersen
- Institute of Clinical Medicine, University of Tromsø/Department of Oncology, University Hospital of Tromsø, Tromsø, Norway
| | - Tom Donnem
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway
| | - Mark M. Awad
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - David J. Kwiatkowski
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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Adib E, Nassar AH, Abou Alaiwi S, Groha S, Akl EW, Sholl LM, Michael KS, Awad MM, Jӓnne PA, Gusev A, Kwiatkowski DJ. Variation in targetable genomic alterations in non-small cell lung cancer by genetic ancestry, sex, smoking history, and histology. Genome Med 2022; 14:39. [PMID: 35428358 PMCID: PMC9013075 DOI: 10.1186/s13073-022-01041-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 03/22/2022] [Indexed: 11/21/2022] Open
Abstract
Background Genomic alterations in 8 genes are now the targets of FDA-approved therapeutics in non-small cell lung cancer (NSCLC), but their distribution according to genetic ancestry, sex, histology, and smoking is not well established. Methods Using multi-institutional genetic testing data from GENIE, we characterize the distribution of targetable genomic alterations in 8 genes among 8675 patients with NSCLC (discovery cohort: DFCI, N = 3115; validation cohort: Duke, Memorial Sloan Kettering Cancer Center, Vanderbilt, N = 5560). For the discovery cohort, we impute genetic ancestry from tumor-only sequencing and identify differences in the frequency of targetable alterations across ancestral groups, smoking pack-years, and histologic subtypes. Results We identified variation in the prevalence of KRASG12C, sensitizing EGFR mutations, MET alterations, ALK, and ROS1 fusions according to the number of smoking pack-years. A novel method for computing continental (African, Asian, European) and Ashkenazi Jewish ancestries from panel sequencing enables quantitative analysis of the correlation between ancestry and mutation rates. This analysis identifies a correlation between Asian ancestry and EGFR mutations and an anti-correlation between Asian ancestry and KRASG12C mutation. It uncovers 2.7-fold enrichment for MET exon 14 skipping mutations and amplifications in patients of Ashkenazi Jewish ancestry. Among never/light smokers, targetable alterations in LUAD are significantly enriched in those with Asian (80%) versus African (49%) and European (55%) ancestry. Finally, we show that 5% of patients with squamous cell carcinoma (LUSC) and 17% of patients with large cell carcinoma (LCLC) harbor targetable alterations. Conclusions Among patients with NSCLC, there was significant variability in the prevalence of targetable genomic alterations according to genetic ancestry, histology, and smoking. Patients with LUSC and LCLC have 5% rates of targetable alterations supporting consideration for sequencing in those subtypes. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-022-01041-x.
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Ramamurthy C, Nassar AH, Abou Alaiwi S, Adib E, Akl EW, Yang S, Esplin ED, Liss MA, Tomlinson GE, Sonpavde GP. Prevalence of pathogenic germline cancer risk variants in testicular cancer patients: Identifying high risk groups. Urol Oncol 2022; 40:113.e9-113.e15. [PMID: 35022142 DOI: 10.1016/j.urolonc.2021.12.014] [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: 06/18/2021] [Revised: 10/14/2021] [Accepted: 12/15/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Germline studies in testicular cancer have focused on unselected populations but so far have not led to recommendations for testicular cancer screening. OBJECTIVE Herein, we hypothesized that men with testicular cancer and an additional risk factor for hereditary cancer predisposition carry a higher rate of pathogenic variants than men with testicular cancer without another risk factor. METHODS AND RESULTS 187 patients with a personal history of testicular cancer underwent germline testing via Invitae. Patients were divided into low-risk and high-risk patients. Low-risk patients (n=83) had testicular cancer as their only primary malignancy without a family history of testicular cancer. High-risk patients (n=104) had additional primary malignancies and/or a family history of testicular cancer. 23.1% of patients harbored pathogenic germline variants with 19.6% carrying actionable variants. Among low-risk patients, 13.5% carried pathogenic variants versus 29.9% in the high-risk cohort. Of patients with a family history of non-testicular cancers and a personal history of additional primary malignancies, 32% harbored pathogenic variants. CONCLUSION High-risk patients are twice as likely to harbor pathogenic variants compared to low-risk patients. Importantly, patients with a family history of cancer and other primary malignancies represent a subset of patients that may benefit from genetic evaluation.
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Affiliation(s)
| | - Amin H Nassar
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Elio Adib
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Elie W Akl
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Shan Yang
- Invitae Corporation, San Francisco, CL
| | | | - Michael A Liss
- Department of Medical Oncology, UT Health San Antonio, San Antonio, TX
| | - Gail E Tomlinson
- Department of Pediatrics, Division of Hematology and Oncology and Greehey Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Guru P Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
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El Zarif T, Adib E, Clish C, Shukla SA, Freeman D, Thomas J, Ravi P, Tuff M, McGregor BA, Mantia C, Ravi A, Sonpavde GP. Comprehensive metabolomic profiling of plasma from patients (pts) with metastatic urothelial carcinoma (mUC) receiving immune checkpoint inhibitors (ICI) or platinum-based chemotherapy (PBC). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.565] [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: 11/20/2022] Open
Abstract
565 Background: Metabolomic profiling of plasma from mUC pts has not been comprehensively examined. Plasma metabolomics may capture the effects of interactions between the malignancy, host and therapy. We hypothesized that Identifying metabolites in plasma from patients with mUC receiving an ICI or PBC may shed valuable insights regarding tumor biology and mechanisms of resistance. Methods: We obtained 0.2 ml plasma before and after starting therapy from pts with mUC receiving an ICI or PBC at the Dana-Farber Cancer Institute. Plasma metabolomic profiling was conducted at the Broad Institute using 3 complementary liquid chromatography tandem mass spectrometry (LC-MS)-based metabolomics platforms. We measured 648 metabolites at baseline prior to starting ICI/PBC and at a second time point in each subject following initiation of ICI/PBC. Metabolite levels were assumed to be normally distributed with log transformation to transform distributions to be approximately symmetric. We performed Wilcoxon-rank sum test to compare the levels of metabolites before and after initiation of the ICI or PBC (significance at p < 0.05). Results: Plasma was available at baseline and during therapy in 53 mUC pts (ICI: n = 43; PBC: n = 10). The median age was 68 (range: 39-86) years and 42 (82.3%) were male. The median time from baseline to the second time point was 4.7 months (range: 0.7-90.2). The ICIs administered were atezolizumab (n = 20), pembrolizumab (n = 16), nivolumab (n = 5), and durvalumab + tremelimumab (n = 1). We identified 20 metabolites that were significantly increased in post-PBC plasma samples (vs. pre-PBC) and 19 metabolites increased in post-ICI (vs. pre-ICI) samples (p < 0.05). All altered metabolites except one (Uracil) were exclusive for each treatment group. The most significant metabolites that increased following initiation of the ICI and PBC are shown in the Table. Evaluation of the association of plasma metabolomics with clinical outcomes and toxicities is ongoing. Conclusions: This is the first report, to our knowledge, of comprehensive metabolomic plasma profiling of pre- and post-ICI and PBC pts with mUC. The metabolomic changes after ICI appear distinct from those seen after PBC. Furthermore, our study sheds insights on potential mechanisms of resistance and new therapeutic targets in pts with mUC.[Table: see text]
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Affiliation(s)
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Clary Clish
- Broad Institute of MIT and Harvard, Cambridge, MA
| | | | | | - Jonathan Thomas
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | | | | | | | | | | | - Guru P. Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
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Thomas J, Riaz IB, Freeman D, Adib E, Nuzzo PV, El Zarif T, Davidsohn M, McClure H, Curran C, Ravi P, Yadav R, Kalluri U, Zeineddine J, Matar A, McGregor BA, Mantia C, Sonpavde GP. Early changes in peripheral blood neutrophil-lymphocyte ratio (NLR) to predict outcomes with immune checkpoint inhibitors (ICIs) for metastatic urothelial carcinoma (mUC). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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
449 Background: ICIs have provided advances in the therapy of mUC. However, the objective determination of benefit from ICIs determined by radiographic imaging may take months and may be confounded by pseudoprogression. Peripheral blood cells appear to reflect tumor microenvironment immune infiltrating cells. Given the known prognostic impact of baseline peripheral blood NLR, we aimed to investigate dynamic early changes in NLR as a biomarker of benefit in patients (pts) with mUC. Methods: Deidentified data from mUC pts who were treated with ICIs at Dana Farber Cancer Institute from 2015 to 2020 were reviewed retrospectively. Demographic data (age, gender), setting (untreated vs. post-platinum), sites of metastasis, performance status (PS), platelet count, and NLR at baseline and 3-4 weeks after initiating the ICI were collected. We assessed the association of NLR at baseline and 3-4 weeks after starting the ICI with any regression of tumor (ART) and overall survival (OS). A multivariable logistic regression model and Cox proportional-hazards model was employed to identify the association of NLR changes with ART and OS, respectively, using backward selection. Results: A total of 144 pts were included. The median age was 76 years and 100 (69.3%) were male. Overall, 54.8% (n=79) had ART and the median OS was 15.2 (12.2-23.5) months. 37.5% (n=54) were platinum naive and the remaining received post-platinum ICI therapy. In the multivariable models (Table), an increase in NLR, defined as an increase in NLR by ≥1.0 from baseline at 3-4 weeks was significantly associated with lower odds of ART (Odds Ratio (OR)= 0.80; 95% CI = 0.70-0.90; p = 0.0004) and worse OS (HR = 1.08; 95% CI = 1.05-1.11; p < 0.0001). The presence of liver metastasis was associated with lower odds of ART (OR = 0.30; 95% CI = 0.13-0.70; p = 0.006) and OS (HR 2.73; 95% CI 1.71 - 4.36; p<0.0001). Conclusions: Change in NLR in the first 4 weeks after initiating ICI for mUC was associated with tumor regression and survival in pts with mUC. Change in NLR may assist in early identification of benefit as well as identification of pts who may have progression of disease. Further validation is warranted to facilitate the early discrimination of benefit from ICIs in pts with mUC.[Table: see text]
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Affiliation(s)
| | | | | | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | | | | | - Heather McClure
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Ritu Yadav
- Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Ayah Matar
- Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Guru P. Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
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El Zarif T, Riaz IB, Adib E, Freeman D, Madueke IC, Davidsohn M, McClure H, Nuzzo PV, McGregor BA, Mantia C, Ravi P, Sonpavde GP. Association of changes in albumin levels with survival and toxicities in patients (pts) with metastatic urothelial carcinoma (mUC) receiving enfortumab vedotin (EV). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.481] [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: 11/20/2022] Open
Abstract
481 Background: EV is an anti-Nectin-4 antibody-drug conjugate that has been approved by the US FDA for mUC progressing on platinum and PD1/L1 inhibitor therapy and in cisplatin-ineligible pts following prior therapy. However, prognostic and predictive biomarkers in the setting of EV therapy are unclear. We aimed to investigate baseline and early changes in commonly available clinical and laboratory tests that could help predict survival and toxicities in patients with mUC treated with EV. Methods: Data from patients with mUC who were treated with EV at Dana Farber Cancer Institute between 2017 and 2021 were reviewed retrospectively. We assessed the association of demographic (age, sex), clinical (ECOG-performance status [PS], sites of metastasis) and laboratory variables (hemoglobin, RDW, neutrophil count, lymphocyte count, neutrophil-to-lymphocyte ratio, platelet count and serum albumin) at baseline as well as after 4-7 weeks of treatment with Overall Survival (OS) by constructing univariate and multivariable Cox proportional-hazards models. Any variables significantly associated with OS at the univariate level (using an alpha-level of 0.1 to determine statistical significance) were then entered into the multivariable model. Predictors were eliminated from the final multivariable models by a backward selection process, retaining only those with a p-value of ≤ 0.05. Results: A total of 49 patients who received EV were included in the analysis. The median age was 72 years (range 48-88) and 36 (73.5%) were male. The median OS was 13.3 months (range: 2.7-38.7) and grade 3-4 toxicities were seen in 11 pts (22.4%). In the final multivariable models, lower serum albumin at 4-7 weeks (HR = 0.18; 95% CI = 0.05-0.71; p = 0.015), and baseline ECOG-PS of 1 vs. 0 (HR = 2.56; 95% CI = 1.05-6.21; p = 0.038) were significantly associated with worse OS (Table). Patients with higher serum albumin levels at 4-7 weeks also had significantly lower odds of experiencing grade 3-4 adverse events on EV (OR = 0.05; 95% CI = 0.002-0.52; p = 0.02). Conclusions: Lower serum albumin appeared to predict worse survival and severe toxicities in mUC pts receiving EV. This information may guide therapy and assist in the prevention of toxicities. Additionally, ECOG-PS was prognostic while the location of metastatic disease was not prognostic in the setting of EV.[Table: see text]
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Affiliation(s)
| | | | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | | | | | - Heather McClure
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | - Guru P. Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
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Thomas J, Skelton WP, Fallah P, Jain RK, Ravi P, Mantia C, McGregor BA, Nuzzo PV, Adib E, El Zarif T, Curran C, Preston MA, Clinton TN, Li R, Steele GS, Kassouf W, Freeman D, Pond GR, Jain RK, Sonpavde GP. Impact of angiotensin-converting enzyme inhibitors (ACEi) on pathologic complete response with neoadjuvant chemotherapy (NAC) for muscle-invasive bladder cancer (MIBC). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.485] [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: 11/20/2022] Open
Abstract
485 Background: The renin-angiotensin system (RAS) has been demonstrated to modulate cell proliferation, desmoplasia, angiogenesis and immunosuppression. Angiotensin pathway inhibitors are postulated to favorably reprogram the stroma in part by inhibition of transforming growth factor-β, a major mechanism of resistance, and have been previously reported to be associated with improved outcomes in the setting of immune checkpoint inhibitors (ICIs) for metastatic urothelial carcinoma (Jain R, Clin Genitourin Cancer 2021). In this analysis, we examined the association of angiotensin inhibitors in the setting of NAC for MIBC preceding radical cystectomy (RC). Methods: Pts with MIBC who received NAC preceding radical cystectomy were assembled from 3 institutions: Dana-Farber Cancer Institute (DFCI), Moffitt Cancer Center (MCC) and McGill University Health Center (MUHC). Pts were retrospectively assessed for the association of concurrent ACEi/angiotensin receptor blockers (ARB) use at initiation of NAC on pathologic complete response (pCR), defined as pT0N0, and overall survival (OS). Pathologic features, performance status (PS), clinical stage, type/number of cycles of NAC, and toxicities were collected. The Kaplan-Meier method was used to estimate OS. Logistic and Cox regression were used to explore factors potentially prognostic for pCR and OS respectively. Results: 302 MIBC pts who received NAC preceding RC were available from 3 institutions: DFCI (n = 187), MCC (n = 50) and MUHC (n = 65). Overall, 141 pts (46.7%) received Cisplatin/Gemcitabine, 130 (43.1%) received dose dense MVAC and the remaining received other regimens. The overall pCR rate was 26.2%. The 5-year OS was 62%. 63 (20.9%) pts were receiving an ACEi and 41 (13.6%) were receiving an ARB. ACEi prior to NAC approached significance for association with pCR (odds ratio = 1.71 (95% CI = 0.94-3.11) p = 0.077). Pts with cT3/4N0-N1 disease receiving ACEi had higher pCR rates (30.8% (8/26) vs 17.7% (14/98), p = 0.056) than those not on ACEi; no difference was observed for pts with cT2N0 tumors (31.1% vs 31.3%, p = 0.99). pCR, ECOG-PS and clinical stage were significantly associated with improved OS. ARB intake was not associated with pCR or OS. Conclusions: ACEi intake appeared potentially associated with increased pCR in pts with MIBC receiving NAC, which was more pronounced in those with higher clinical stages cT3/4N0-1. Given the association of pCR with OS, our data suggest the potential relevance of angiotensin as a therapeutic target in aggressive MIBC. Future prospective validation is warranted to repurpose angiotensin inhibitors in this setting, given their excellent toxicity profile and low costs.
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Affiliation(s)
- Jonathan Thomas
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | | | | | | | | | | | | | | | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | | | | | | | - Roger Li
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | | | | | | | | | | | - Guru P. Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
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Sonpavde GP, Freeman D, Adib E, El Zarif T, Thomas J, Nuzzo PV, Ravi A, Tuff M, Mantia C, McGregor BA, Berchuck JE, Budde P, Rupieper E, Gajewski J, McDaid R, Schbuert AS, Bräutigam M, Zucht HD, Ravi P. Multiplexed autoantibody (AA) profiling of patients (pts) with metastatic urothelial carcinoma (mUC) receiving immune checkpoint inhibitors or platinum-based chemotherapy. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.558] [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: 11/20/2022] Open
Abstract
558 Background: The AA profile may be altered in malignancies and provide insights into tumor biology and the immune state. We hypothesized that the longitudinal AA profiling of mUC pts receiving an immune checkpoint inhibitor (ICI) may provide insights into the immune response, which may be associated with immune events and help discover new therapeutic targets. Methods: We utilized serum from mUC pts receiving an ICI or platinum-based chemotherapy (PBC) at the Dana-Farber Cancer Institute. Age and sex matched healthy controls were also studied. The SeroTag immuno-oncology discovery array (Oncimmune) was utilized, with quantification of the AA reactivity towards 1150 antigens. Bound autoantibodies were detected using an anti-IgG-specific detection antibody conjugated to the fluorescent reporter dye phycoerythrin. The AA reactivity was reported as the median fluorescence intensity (MFI) for each color and sample using a Luminex FlexMAP3D analyzer. A significance analysis of microarrays was performed to identify AAs with elevated levels in bladder cancer compared to matched healthy controls (HCs). AAs with > 1.5 increase between pre- and post-treatment were reported. Scatter and box-whisker plots were reported for all pts and antigens, respectively. Results: Pre- (n = 66) and post treatment (n = 65) serum samples were available from mUC pts receiving pembrolizumab (n = 25), atezolizumab (n = 21), nivolumab (n = 5), avelumab (n = 1), durvalumab + tremelimumab (n = 1), nivolumab plus vaccine (n = 1), and 12 pts who received PBC (cisplatin n = 8, carboplatin n = 4). The median duration between the pre- and post-therapy samples was 6 months, median age was 67.7 years (range 40-91) with 51 men (77.3%). Overall, significant heterogeneity of AAs between pts was observed with 37 AAs showing higher reactivity in pre-treatment mUC pts vs. 47 HCs, notably anti-CTAG1 (NY-ESO-1), CTAG2 (NY-ESO-2), MAGE B-18, KRAS, GRB2, RARRES2, HSP72 and FGFR3 (all p < 0.05). Pre- and post-therapy AA profiles were similar with unique changes seen in each patient. Notably, 3 pts receiving an ICI developed AAs to NY-ESO-1. Pts receiving PBC less frequently developed new AAs, although pts treated with cisplatin appeared to develop AAs more frequently compared to carboplatin-treated pts. Conclusions: This is the first report of a comprehensive AA profile using a novel platform in mUC pts. The study identified multiple elevated AAs in mUC pts vs. HCs, most notably NY-ESO-1, which also developed in some pts following ICIs. Pts treated with PBC did not develop new AAs frequently, although there appeared to be a difference between cisplatin and carboplatin-based chemotherapy. Further development of this platform is warranted to provide data that is orthogonal to genomic/transcriptomic profiling and shed insights on potential therapeutically actionable antigens.
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Affiliation(s)
- Guru P. Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | | | | | | | | | | | | | - Jacob E Berchuck
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
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Adib E, El Zarif T, Freeman D, Labban M, Curran C, Sharma B, Song J, Felt K, Nassar A, Davidsohn M, Rodig SJ, Choueiri TK, Kwiatkowski DJ, Ravi P, Sonpavde GP. FOXP3+ T-cell infiltration is associated with improved outcomes in metastatic urothelial carcinoma (mUC) treated with immune-checkpoint inhibitors (ICI). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.549] [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: 11/20/2022] Open
Abstract
549 Background: Given that ICIs benefit a minority of mUC patients and are associated with significant costs, biomarkers are necessary to optimally utilize them in the clinic. Although FOXP3+ T-cells have been associated with an immune-cold environment in many cancers, studies in urothelial carcinoma have shown an opposite trend. Methods: Formalin-fixed paraffin-embedded slides from tumor specimens were collected for patients with mUC treated with ICI at Dana-Farber Cancer Institute. A novel multiplex immunofluorescence (mIF) panel, ImmunoProfile, was performed for PD-L1, PD-1, FOXP3, CD8 and DAPI, then scanned by a Vectra Polaris platform. Regions of interest were defined and used for quantitative analysis using PerkinElmer/Akoya. Intratumoral (IT) and tumor-stroma interface (TSI) density (cells/mm2) of each cell type was calculated. Clinical data was collected through chart review, and associations between cell density and response were assessed. Wilcoxon Rank-Sum test between responders (CR/PR) and non-responders (SD/PD) was used to generate p-values, followed by Benjamini-Hochberg correction. Receiver-operating curve (ROC) and area-under-curve (AUC) calculations were performed to determine the optimal cutoff (OC) differentiating responders from non-responders. Cox proportional hazards models were used to estimate OS and PFS, accounting for type of therapy (single vs. combination ICI), baseline neutrophil-to-lymphocyte ratio (NLR), PD-L1 CPS, prior therapy, non-urothelial component, ECOG-PS and liver metastases (mets). Results: Of 35 patients assessed by ImmunoProfile, 32 were evaluable for response. Most patients (88%) were male and the median age at ICI start was 73 years. Median number of prior lines of therapy was 1 (range 0 – 3), and the majority (72%) was treated with single-agent ICI. Eight patients (25%) had CR/PR, eight had SD and 16 had PD as best response. Of all IF stains assessed, IT-TSI FOXP3 was the strongest predictor of objective response (q-value = 0.006), followed by IT-CD8 (q = 0.014). ROC analysis yielded an AUC of 0.812 (0.656 – 0.969) and the optimal cutpoint was set at 75 IT-TSI-FOXP3 cells/mm2. ORR was 46% in FOXP3-high ( > 75/mm2) vs 14% in FOXP3-low mUCs. A combined model using IT-TSI-FOXP3 and clinical covariates (NLR, ECOG-PS, line of therapy, histology, and liver mets) had an AUC of 0.929. PFS was significantly longer in the FOXP3-high group (7.9 [5.7 – NR] months) compared to the FOXP3-low group (2.3 [2.1 – 6.1] months) on multivariable analysis (p = 0.007). OS also showed the same trend (p = 0.1). Conclusions: In this pilot study of ImmunoProfile, a novel mIF panel, higher FOXP3+ infiltration in tumors was associated with better outcomes and a composite clinico-IHC panel exhibited robust prognostic impact in mUC pts treated with ICI. Further study of this mIF panel is warranted to implement it in routine practice.
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Affiliation(s)
- Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | | | | | | | | | - Jane Song
- Dana-Farber Cancer Institute, Boston, MA
| | - Kristen Felt
- ImmunoProfile, Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Scott J. Rodig
- Department of Pathology and Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Toni K. Choueiri
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA
| | | | | | - Guru P. Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
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McGregor BA, Xie W, Adib E, Stadler WM, Zakharia Y, Alva A, Michaelson MD, Gupta S, Lam ET, Farah S, Nassar AH, Wei XX, Kilbridge KL, Harshman L, Signoretti S, Sholl L, Kwiatkowski DJ, McKay RR, Choueiri TK. Biomarker-Based Phase II Study of Sapanisertib (TAK-228): An mTORC1/2 Inhibitor in Patients With Refractory Metastatic Renal Cell Carcinoma. JCO Precis Oncol 2022; 6:e2100448. [PMID: 35171658 PMCID: PMC8865529 DOI: 10.1200/po.21.00448] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 10/12/2021] [Revised: 12/06/2021] [Accepted: 01/10/2022] [Indexed: 12/16/2022] Open
Abstract
PURPOSE Sapanisertib is a kinase inhibitor that inhibits both mammalian target of rapamycin complex 1 (mTORC1) and mTORC2. In this multicenter, single-arm phase II trial, we evaluated the efficacy of sapanisertib in patients with treatment-refractory metastatic renal cell carcinoma (mRCC; NCT03097328). METHODS Patients with mRCC of any histology progressing through standard therapy (including prior mTOR inhibitors) had baseline biopsy and received sapanisertib 30 mg by mouth once weekly until unacceptable toxicity or disease progression. The primary end point was objective response rate by RECIST 1.1. Tissue biomarkers of mTOR pathway activation were explored. RESULTS We enrolled 38 patients with mRCC (clear cell = 28; variant histology = 10) between August 2017 and November 2019. Twenty-four (63%) had received ≥ 3 prior lines of therapy; 17 (45%) had received prior rapalog therapy. The median follow-up was 10.4 (range 1-27.4) months. Objective response rate was two of 38 (5.3%; 90% CI, 1 to 15.6); the median progression-free survival (PFS) was 2.5 months (95% CI, 1.8 to 3.7). Twelve patients (32%) developed treatment-related grade 3 adverse events, with no grade 4 or 5 toxicities. Alterations in the mTOR pathway genes were seen in 5 of 29 evaluable patients (MTOR n = 1, PTEN n = 3, and TSC1 n = 1) with no association with response or PFS. Diminished or loss of PTEN expression by immunohistochemistry was seen in 8 of 21 patients and trended toward shorter PFS compared with intact PTEN (median 1.9 v 3.7 months; hazard ratio 2.5; 95% CI, 0.9 to 6.7; P = .055). CONCLUSION Sapanisertib had minimal activity in treatment-refractory mRCC independent of mTOR pathway alterations. Additional therapeutic strategies are needed for patients with refractory mRCC.
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Affiliation(s)
| | | | - Elio Adib
- Dana-Farber Cancer Institute, Boston, MA
- Brigham and Women's Hospital, Boston, MA
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Adib E, El‐Zarif T, Jain RK, Skelton WP, Freeman D, Curran C, Akl EW, Nassar AH, Ravi P, Mantia C, Kwiatkowski DJ, Choueiri TK, Sonpavde GP. FGFR2/3 g
enomic alterations and response to Enfortumab Vedotin in metastatic urothelial carcinoma. BJUI Compass 2021; 3:169-172. [PMID: 35224552 PMCID: PMC8880907 DOI: 10.1002/bco2.125] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Elio Adib
- Department of Medicine, Brigham and Women's Hospital Harvard Medical School Boston Massachusetts USA
- Lank Center for Genitourinary Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
| | - Talal El‐Zarif
- Lank Center for Genitourinary Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
| | - Rohit K. Jain
- H. Lee Moffitt Cancer Center and Research Institute Tampa Florida USA
| | | | - Dory Freeman
- Lank Center for Genitourinary Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
| | - Catherine Curran
- Lank Center for Genitourinary Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
| | - Elie W. Akl
- Department of Medicine, Brigham and Women's Hospital Harvard Medical School Boston Massachusetts USA
| | - Amin H. Nassar
- Department of Medicine, Brigham and Women's Hospital Harvard Medical School Boston Massachusetts USA
- Lank Center for Genitourinary Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
| | - Praful Ravi
- Lank Center for Genitourinary Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
| | - Charlene Mantia
- Lank Center for Genitourinary Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
| | - David J. Kwiatkowski
- Department of Medicine, Brigham and Women's Hospital Harvard Medical School Boston Massachusetts USA
| | - Toni K. Choueiri
- Lank Center for Genitourinary Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
| | - Guru P. Sonpavde
- Lank Center for Genitourinary Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
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Zhu S, Ma AH, Zhu Z, Adib E, Rao T, Li N, Ni K, Chittepu VCSR, Prabhala R, Garisto Risco J, Kwiatkowski D, Mouw K, Sonpavde G, Cheng F, Pan CX. Synergistic antitumor activity of pan-PI3K inhibition and immune checkpoint blockade in bladder cancer. J Immunother Cancer 2021; 9:jitc-2021-002917. [PMID: 34725212 PMCID: PMC8562536 DOI: 10.1136/jitc-2021-002917] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [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] [Accepted: 08/31/2021] [Indexed: 01/11/2023] Open
Abstract
Background Immune checkpoint blockade (ICB) induces durable response in approximately 20% of patients with advanced bladder urothelial cancer (aUC). Over 50% of aUCs harbor genomic alterations along the phosphoinositide 3-kinase (PI3K) pathway. The goal of this project was to determine the synergistic effects and mechanisms of action of PI3K inhibition and ICB combination in aUC. Methods Alterations affecting the PI3K pathway were examined in The Cancer Genome Atlas (TCGA) and the Cancer Dependency Map databases. Human and mouse cells with Pten deletion were used for in vitro studies. C57BL/6 mice carrying syngeneic tumors were used to determine in vivo activity, mechanisms of action and secondary resistance of pan-PI3K inhibition, ICB and combination. Results Alterations along the PI3K pathway occurred in 57% of aUCs in TCGA. CRISPR (clustered regularly interspaced short palindromic repeats) knockout of PIK3CA induced pronounced inhibition of cell proliferation (p=0.0046). PI3K inhibition suppressed cancer cell growth, migration and colony formation in vitro. Pan-PI3K inhibition, antiprogrammed death 1 (aPD1) therapy and combination improved the overall survival (OS) of syngeneic mice with PTEN-deleted tumors from 27 days of the control to 48, 37, and 65 days, respectively. In mice with tumors not containing a PI3K pathway alteration, OS was prolonged by the combination but not single treatments. Pan-PI3K inhibition significantly upregulated CD80, CD86, MHC-I, and MHC-II in dendritic cells, and downregulated the transforming growth factor beta pathway with a false discovery rate-adjusted q value of 0.001. Interferon alpha response was significantly upregulated with aPD1 therapy (q value: <0.001) and combination (q value: 0.027). Compared with the control, combination treatment increased CD8+ T-cell infiltration (p=0.005), decreased Treg-cell infiltration (p=0.036), and upregulated the expression of multiple immunostimulatory cytokines and granzyme B (p<0.01). Secondary resistance was associated with upregulation of the mammalian target of rapamycin (mTOR) pathway and multiple Sprr family genes. Conclusions The combination Pan-PI3K inhibition and ICB has significant antitumor effects in aUC with or without activated PI3K pathway and warrants further clinical investigation. This combination creates an immunostimulatory tumor milieu. Secondary resistance is associated with upregulation of the mTOR pathway and Sprr family genes.
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Affiliation(s)
- Shaoming Zhu
- Department of Internal Medicine, University of California Davis, Sacramento, CA, USA.,Department of Urology, Renmin Hospital of Wuhan University, Wuhan, People's Republic of China
| | - A-Hong Ma
- Department of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA, USA
| | - Zheng Zhu
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Elio Adib
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Ting Rao
- Department of Internal Medicine, University of California Davis, Sacramento, CA, USA.,Department of Urology, Renmin Hospital of Wuhan University, Wuhan, People's Republic of China
| | - Na Li
- Department of Internal Medicine, University of California Davis, Sacramento, CA, USA.,Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, People's Republic of China
| | - Kaiyuan Ni
- Department of Bioengienering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Rao Prabhala
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - David Kwiatkowski
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kent Mouw
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Guru Sonpavde
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Fan Cheng
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, People's Republic of China
| | - Chong-Xian Pan
- Department of Internal Medicine, University of California Davis, Sacramento, CA, USA .,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Department of Medicine, VA Boston Healthcare System, Boston, MA, USA
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Tahri S, Mouhieddine T, Redd R, Lampe L, Nillson K, Su NK, El-Khoury H, Nassar AH, Adib E, Bindra G, Alaiwi SA, Trippa L, Steensma D, Castillo JJ, Treon SP, Ghobrial I, Sperling A. OAB-040: Clonal hematopoiesis is associated with increased risk of progression of asymptomatic Waldenström Macroglobulinemia. Clinical Lymphoma Myeloma and Leukemia 2021. [DOI: 10.1016/s2152-2650(21)02114-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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40
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Yang ES, Nassar AH, Adib E, Jegede OA, Alaiwi SA, Manna DLD, Braun DA, Zarei M, Du H, Pal SK, Naik G, Sonpavde GP. Gene Expression Signature Correlates with Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Everolimus Alone or with a Vascular Disrupting Agent. Mol Cancer Ther 2021; 20:1454-1461. [PMID: 34108261 DOI: 10.1158/1535-7163.mct-20-1091] [Citation(s) in RCA: 3] [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] [Received: 12/16/2020] [Revised: 04/19/2021] [Accepted: 06/03/2021] [Indexed: 11/16/2022]
Abstract
Everolimus monotherapy use for metastatic renal cell carcinoma (mRCC) has diminished due to recent approvals of immune checkpoint and VEGF inhibitors. We hypothesized that gene expression associated with everolimus benefit may provide rationale to select appropriate patients. To address this hypothesis, tumors from a phase I/II trial that compared everolimus alone or with BNC105P, a vascular disrupting agent, were profiled using Nanostring as a discovery cohort. A phase III trial (CheckMate 025) was used for validation. Clinical benefit (CB) was defined as response or stable disease for ≥6 months. A propensity score covariate adjustment was used, and model discrimination performance was assessed using the area under the ROC curve (AUC). In a discovery cohort of 82 patients, 35 (43%) were treated with everolimus alone and 47 (57%) received everolimus + BNC105P. Median PFS (mPFS) was 4.9 (95% CI, 2.8-6.2) months. A four-gene signature (ASXL1, DUSP6, ERCC2, and HSPA6) correlated with CB with everolimus ± BNC105P [AUC, 86.9% (95% CI, 79.2-94.7)]. This was validated in 130 patients from CheckMate 025 treated with everolimus [AUC, 60.2% (95% CI, 49.7-70.7)]. Among 43 patients (52.4%) with low expression of an 18-gene signature, everolimus + BNC105P was associated with significantly longer mPFS compared with everolimus alone (10.4 vs. 6.9 months; HR, 0.49; 95% CI, 0.24-1.002; P = 0.047). These signatures warrant further validation to select patients who may benefit from everolimus alone or with a vascular disrupting agent.
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Affiliation(s)
- Eddy S Yang
- Department of Radiation Oncology, Hugh Kaul Precision Medicine Institute and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama.
| | - Amin H Nassar
- Cancer Genetics Lab, Division of Pulmonary Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Elio Adib
- Cancer Genetics Lab, Division of Pulmonary Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Opeyemi A Jegede
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Sarah Abou Alaiwi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Deborah L Della Manna
- Department of Radiation Oncology, Hugh Kaul Precision Medicine Institute and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama
| | - David A Braun
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mahsa Zarei
- Cancer Genetics Lab, Division of Pulmonary Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Heng Du
- Cancer Genetics Lab, Division of Pulmonary Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sumanta K Pal
- Department of Medical Oncology, City of Hope, Duarte, California
| | - Gurudatta Naik
- University of Alabama at Birmingham, Birmingham, Alabama
| | - Guru P Sonpavde
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
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41
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Adib E, Nassar AH, Akl EW, Abou Alaiwi S, Nuzzo PV, Mouhieddine TH, Sonpavde G, Haddad RI, Mouw KW, Giannakis M, Hodi FS, Shukla SA, Gusev A, Braun DA, Choueiri TK, Kwiatkowski DJ. CDKN2A Alterations and Response to Immunotherapy in Solid Tumors. Clin Cancer Res 2021; 27:4025-4035. [PMID: 34074656 DOI: 10.1158/1078-0432.ccr-21-0575] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/24/2021] [Accepted: 05/07/2021] [Indexed: 12/31/2022]
Abstract
PURPOSE Immune checkpoint inhibitors (ICI) have shown clinical benefit in many types of metastatic cancers with only a few predictive biomarkers identified so far. CDKN2A is commonly altered in human cancers, but prior studies have provided conflicting evidence regarding the association between CDKN2A genomic alterations (GA) and response to ICIs. Herein, we examined the impact of loss-of-function CDKN2A alterations on response and survival in patients treated with ICIs. EXPERIMENTAL DESIGN We studied the association between loss-of-function CDKN2A alterations and the response to ICIs in two independent cohorts of six different cancer types. Seven hundred and eighty-nine patients treated at Dana-Farber Cancer Institute (DFCI; Boston, MA) and 1,250 patients treated at Memorial Sloan Kettering Cancer Center (MSKCC; New York, NY) were included in the final analysis. Patients' tumors were sequenced using Oncopanel or MSK-IMPACT. RNA sequencing data from The Cancer Genome Atlas and IMvigor210 were used to investigate differences in the tumor microenvironment. RESULTS In the DFCI cohort, CDKN2A GAs were associated with poor response and survival in patients with urothelial carcinoma treated with ICIs, but not those treated with platinum-based therapy. Similarly, CDKN2A GAs were associated with worse outcomes in the MSKCC urothelial carcinoma cohort treated with ICIs. There was no association of CDKN2A status with ICI treatment outcome in five other cancers: esophagogastric, head and neck, non-small cell lung, renal cell carcinoma, and melanoma. Immuno-inflammatory pathways were significantly reduced in expression in CDKN2A-altered tumors. CONCLUSIONS Our data show that CDKN2A GAs were associated with reduced benefit from ICI therapy in urothelial carcinoma as well as changes in the tumor-immune microenvironment.
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Affiliation(s)
- Elio Adib
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Amin H Nassar
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Elie W Akl
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Pier Vitale Nuzzo
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Department of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genoa, Genoa, Italy
| | - Tarek H Mouhieddine
- Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, New York
| | - Guru Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Robert I Haddad
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kent W Mouw
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - F Stephen Hodi
- Melanoma Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Sachet A Shukla
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Alexander Gusev
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - David A Braun
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Toni K Choueiri
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - David J Kwiatkowski
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
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Ernst MS, Abou Alaiwi S, Dizman N, Labaki C, Nuzzo PV, Adib E, Schmidt AL, Meza LA, Gan CL, Wells JC, Bakouny Z, Pal SK, Choueiri TK, Heng DYC, Dudani S. The impact of antibiotic (Ab) exposure on clinical outcomes in patients with metastatic renal cell carcinoma (mRCC) treated with immune checkpoint inhibitors (ICI) or VEGF targeted therapy (VEGF-TT). J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.4552] [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: 11/20/2022] Open
Abstract
4552 Background: Retrospective studies have shown an association between Ab exposure and inferior clinical outcomes in patients receiving ICI across various tumor types, including mRCC. However, it is unclear whether Ab exposure has a unique interaction with ICI or is an independent prognostic marker, regardless of treatment. We sought to examine Ab exposure and its association with clinical outcomes in patients with mRCC treated with ICI compared to VEGF-TT. Methods: We identified patients treated with ICI (anti-PD-L1 alone or in combination with VEGF or CTLA4 inhibitor) or VEGF-TT alone in first to fourth line settings from 2009-2020 across 3 academic centers in North America. Ab exposure was defined as administration of Ab within 60 days prior to initiation of systemic therapy. Outcomes of interest were response rate (RR), time to treatment failure (TTF) and overall survival (OS). Multivariable Cox regression was performed to control for imbalances in International mRCC Database Consortium (IMDC) risk factors, histology, and treatment line. Results: We identified 748 patients. Among the ICI (n=427) and VEGF-TT (n=321) cohorts, 13% vs 15% (p=0.47) had Ab exposure and 57% vs 48% (p=0.046) were treated in the first line setting. The proportion of favorable, intermediate, and poor risk disease by IMDC criteria differed between Ab exposed and unexposed patients in the ICI (14% vs 18%, 47% vs 62%, 39% vs 21% p=0.03) and VEGF-TT (7% vs 13%, 43% vs 60%, 50% vs 27%, p=0.01) cohorts. RR, TTF and OS results are displayed in Table 1. Multivariable analysis did not show a significant independent association between Ab exposure and OS in both the ICI (HR 1.13, p=0.62) and VEGF-TT (HR 1.32, p=0.16) cohorts. Treatment modality (ICI vs VEGF-TT) did not modify the effect of Ab exposure on OS (p=0.84). Conclusions: Ab exposure was associated with higher IMDC risk scores in both the ICI and VEGF-TT cohorts as well as inferior OS on univariable analysis. After adjusting for IMDC risk factors, histology and treatment line, we were unable to find an independent association between Ab exposure and OS in multivariable analysis for either cohort.[Table: see text]
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Affiliation(s)
| | - Sarah Abou Alaiwi
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Nazli Dizman
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Chris Labaki
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Pier Vitale Nuzzo
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Andrew Lachlan Schmidt
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Luis A Meza
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Chun Loo Gan
- Tom Baker Cancer Center, University of Calgary, Calgary, AB, Canada
| | - J Connor Wells
- Tom Baker Cancer Centre, University of Calgary, Calgary, AB, Canada
| | - Ziad Bakouny
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | - Toni K. Choueiri
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | - Shaan Dudani
- Division of Oncology and Hematology, William Osler Health System, Brampton, ON, Canada
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Nassar A, Adib E, Abou Alaiwi S, Akl E, El Zarif T, Nuzzo PV, Mouhieddine TH, El-Khoury H, Groha S, Sonpavde GP, Haddad RI, Mouw KW, Giannakis M, Ananda G, Freedman ML, Kwiatkowski DJ, MacConaill LE, Choueiri TK, Gusev A. Genetic ancestry and clinical outcomes to immune checkpoint inhibitors among seven common cancers. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.10536] [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: 11/20/2022] Open
Abstract
10536 Background: Prior studies and clinical trials report associations between self-reported race and clinical outcomes to Immune Checkpoint Inhibitors (ICIs). However, comprehensive studies of ancestry-associated differences in clinical outcomes have not been performed. We derived genetic ancestry scores and assessed clinical outcomes in 1341 patients with cancer treated with ICIs. Methods: Patients at the Dana-Farber Cancer Institute treated with ICIs only and with relevant cancer types and targeted exome sequencing data (Oncopanel) were included. Relevant cancer types included colorectal adenocarcinoma (CRC), esophagogastric adenocarcinoma (EGC), head and neck squamous cell carcinoma (HNSCC), melanoma, non-small cell lung cancer (NSCLC), renal cell carcinoma (RCC), and urothelial carcinoma (UC). We developed a bioinformatics pipeline to infer fine-scale genetic ancestry for each patient (n=1341) directly from tumor sequencing data by leveraging off and on-target sequenced reads and external ancestry reference panels. Three ancestry scores were determined (African, East Asian, European). Overall survival (OS) and time-to-treatment failure (TTF) were compared by Cox logistic regression between ancestral populations. Hazard ratio (HR) was derived using multivariable analysis, adjusted for single versus combination therapy, prior lines of therapy, and tumor mutational burden (TMB, as percentiles). Results: Median follow-up was 37.8 months (m; interquartile range: 35.7-39.5m). Common cancer types included CRC (n=52), EGC (n=114), HNSCC (n=88), melanoma (n=274), NSCLC (n=571), RCC (n=99), and UC (n=143). A higher East Asian ancestry (EAS) was significantly associated with worse OS ( p=0.03) and TTF ( p=0.002) in patients with RCC, independent of the histologic subtype (Table). There was no significant association between any of the three ancestral populations and clinical outcomes in the other 6 cancer types. Conclusions: We described clinical outcomes to ICIs across three global populations in 7 cancers. As the medical field re-evaluates the use of self-reported race in clinical decision-making, we utilize a novel ancestry pipeline that can be readily applied to tumor-only sequencing panels and better characterize non-white populations. We find no ancestry differences in clinical outcomes except in patients with RCC treated with ICIs which will require future validation. We plan to analyze genomic correlates of response by ancestry in each of the cancer types to better understand these diverge clinical behaviors.[Table: see text]
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Affiliation(s)
| | - Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Elie Akl
- Brigham and Women's Hospital, Boston, MA
| | | | | | | | | | | | - Guru P. Sonpavde
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Robert I. Haddad
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | | | | | | | - Matthew L. Freedman
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Laura E MacConaill
- Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - Toni K. Choueiri
- Dana-Farber Cancer Institute, The Lank Center for Genitourinary Oncology, Boston, MA
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Adib E, Akl E, Nassar A, El Zarif T, Abou Alaiwi S, Kwiatkowski DJ. Genomic landscape of malignnant mesothelioma by site and histology. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.8559] [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: 11/20/2022] Open
Abstract
8559 Background: Malignnant mesothelioma (MM) is a highly lethal tumor that can develop in the pleura, the peritoneum, the pericardium or the testes. While the genomic features of pleural MM have been well-described overall, less is known about the distribution of genetic alterations (GAs) according to histology. In addition, few reports comparing genetic features according to disease site are available. Methods: We identified patients with pleural or peritoneal mesothelioma with mutational analysis through the GENIE registry. Patient tumor genetic data were provided by Memorial Sloan-Kettering Cancer Center (MSK)-IMPACT and Dana-Farber Cancer Institute (DFCI)-Oncopanel NGS initiatives. Patients with more than one sequenced sample were excluded. We limited our analysis to genes common to all versions of both panels and that were significantly mutated in the TCGA mesothelioma cohort. Mutation and copy number variant (CNV), collectively called GAs, were determined, and were compared using the Fisher’s Exact test and Kruskal-Wallis Test. Comparisons were made both by disease site (pleural vs. peritoneal) and histology for the pleural samples (epithelioid vs. biphasic vs. sarcomatoid). Nominal p-values were obtained, and FDR correction was employed (q<0.1). Results: We identified 439 patients with MM in the GENIE registry who fit the inclusion criteria. The median age was 70.5 years for pleural MM and 60 years for peritoneal MM (Wilcoxon-rank sum test p-value = 3e-9). 72% of patients were male. CDKN2A/CDKN2B GAs (97% and 100% being deletions in CDKN2A and CDKN2B respectively), a described prognostic marker in MM, were more common in pleural than in peritoneal MM. Among pleural MMs, tumors of epithelioid histology had less NF2 GAs than biphasic or sarcomatoid tumors, whereas sarcomatoid tumors had the lowest frequency of BAP1 GAs (Table). Conclusions: Malignnant mesotheliomas of different disease sites and/or histologies display distinct patterns of GAs. These findings may contribute in part to differences in response to treatment and survival among these subsets of MM.[Table: see text]
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Affiliation(s)
- Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | - Elie Akl
- Brigham and Women's Hospital, Boston, MA
| | | | | | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
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Adib E, Nassar A, Akl E, Abou Alaiwi S, El Zarif T, El-Khoury H, Ananda G, Choueiri TK, Gusev A. Improving tumor mutational burden calibration in non-European patients. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.1559] [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: 11/20/2022] Open
Abstract
1559 Background: Tumor mutational burden (TMB), has been recently granted FDA approval as a biomarker for ICI treatment in tumors with a high mutation load (≥ 10/MB). To leverage this biomarker in the clinical setting, it is necessary to evaluate its application in diverse patient populations. In particular, tumor-only sequencing may overestimate TMB in non-EUR populations for which reference panels are small or unavailable, and thus have poorer predictive performance. Herein, we investigate the effect of TMB overestimation in non-EURs on patient diagnosis and clinical outcomes in a real world patient cohort. Methods: TMB was computed using a tumor-only NGS platform (Oncopanel) for 8349 cancer patients (pts) of 7 cancer types (Table). Genetic ancestry was inferred directly from tumor sequencing data and confirmed for a subset of pts using germline SNP arrays. TMB was compared using Wilcoxon rank-sum test between European (EUR) and non-EUR pts. TMB percentile rank by ancestral group (East Asian, African, European) and tumor histology was computed. In non-EUR pts, TMB was calibrated by reassigning its value to the corresponding percentile rank in EUR pts having the same cancer (AH-TMB). Tumors with raw TMB ≥ 10/MB were assigned as TMB-high (TMBH; with the rest referred to as TMBL for TMB-low) and those with calibrated AH-TMB ≥ 10/MB as AH-TMBH. A subset of pts treated with ICIs at DFCI and of EUR ancestry were analyzed. TMB was intentionally mis-calibrated in EURs (MC-TMB), to mimic the TMB overestimation observed in non-EURs. Associations between TMBH status and overall survival (OS) was assessed using Cox regression. Results: Uncalibrated TMB was significantly higher in tumors from non-EUR pts overall (p <0.0001, Table) as anticipated, whereas this difference was not observed in tumors with matched germline filtering. We reassigned non-EUR pts into low/high groups using calibrated AH-TMB, which changed the assignment of 67/670 non-EURs, most of which (65/67) were downgraded from TMBH to AH-TMBL. In the ICI-treated cohort, there was a strong association between TMBH status and OS (p = 2e-11, HR = 0.6) whereas MC-TMBH (mimicking the miscalibration in non-EUR samples) had a weaker association with OS (p = 0.0013, HR = 0.8). Importantly, pts assigned to TMB-H due to miscalibration (90 TMB-L/MC-TMBH pts) had shorter OS compared to the true TMBH group (p = 3e-6, HR = 1.9). Conclusions: In this analysis, we showed that tumor-only sequencing platforms can overestimate TMB in non-EUR pts, impacting treatment decisions and outcomes. Replacing raw TMB counts with an ancestry-adjusted measure could optimize TMB application in the clinical setting when germline sequencing is not available. Accurate ancestry inference can be performed using tumor-only sequencing.[Table: see text]
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Affiliation(s)
- Elio Adib
- The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA
| | | | - Elie Akl
- Brigham and Women's Hospital, Boston, MA
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | - Toni K. Choueiri
- Dana-Farber Cancer Institute, The Lank Center for Genitourinary Oncology, Boston, MA
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Adib E, Klonowska K, Giannikou K, Do KT, Pruitt-Thompson S, Bhushan K, Milstein MI, Hedglin J, Kargus KE, Sholl LM, Tsuji J, Hyman DM, Sisk A, Shapiro GI, Vargas HA, Harding JJ, Voss MH, Iyer G, Kwiatkowski DJ. Phase II Clinical Trial of Everolimus in a Pan-Cancer Cohort of Patients with mTOR Pathway Alterations. Clin Cancer Res 2021; 27:3845-3853. [PMID: 33727259 DOI: 10.1158/1078-0432.ccr-20-4548] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/09/2021] [Accepted: 03/12/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE This was a multicenter, histology-agnostic, single-arm prospective phase II trial of therapeutic activity of everolimus, an oral mTORC1 inhibitor, in patients with advanced solid tumors that harbored TSC1/TSC2 or MTOR mutations. PATIENTS AND METHODS Patients with tumors with inactivating TSC1/TSC2 or activating MTOR mutations identified in any Clinical Laboratory Improvement Amendments (CLIA)-certified laboratory were eligible. Patients were treated with everolimus 10 mg once daily until disease progression or unacceptable toxicity. The primary endpoint was objective response rate (ORR). Whole-exome sequencing was performed to identify co-occurring genomic alterations. RESULTS Between November 2015 and October 2018, 30 patients were enrolled at Dana-Farber Cancer Institute and Memorial Sloan Kettering Cancer Center. Tumors harbored TSC1 (13/30), TSC2 (15/30), concurrent TSC1 and TSC2 (1/30), or MTOR (1/30) mutations. The most common treatment-related adverse event of any grade was mucositis (8/30, 27%); 1 patient had fatal pneumonitis. Partial responses were seen in 2 patients [7%; 95% confidence interval (CI), 1%-22%]. Median progression-free survival was 2.3 months (95% CI, 1.8-3.7 months) and median overall survival (OS) was 7.3 months (95% CI, 4.5-12.7 months). There was no clear association between other genomic alterations and response. Of the 2 patients with objective response, 1 had upper tract urothelial carcinoma with biallelic inactivation of TSC1 and high tumor mutation burden, and the other had uterine carcinoma with biallelic TSC2-inactivating mutations and PEComa-like pathologic features. CONCLUSIONS Everolimus therapy had a disappointing ORR (7%) in this pan-cancer, mutation-selected, basket study.See related commentary by Kato and Cohen, p. 3807.
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Affiliation(s)
- Elio Adib
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Katarzyna Klonowska
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Krinio Giannikou
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Khanh T Do
- Early Drug Development Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Ketki Bhushan
- Early Drug Development Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Matthew I Milstein
- Early Drug Development Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jennifer Hedglin
- Early Drug Development Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Katherine E Kargus
- Early Drug Development Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Junko Tsuji
- Genomics Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | | | - Anne Sisk
- Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Geoffrey I Shapiro
- Early Drug Development Center, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Hebert A Vargas
- Weil Cornell Medical College, New York, New York.,Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - James J Harding
- Early Drug Development Service, Memorial Sloan Kettering Cancer Center, New York, New York.,Weil Cornell Medical College, New York, New York.,Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Martin H Voss
- Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.,Weil Cornell Medical College, New York, New York
| | - Gopa Iyer
- Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.,Weil Cornell Medical College, New York, New York
| | - David J Kwiatkowski
- Cancer Genetics Laboratory, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
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Abou Alaiwi S, Nassar AH, Adib E, Groha SM, Akl EW, McGregor BA, Esplin ED, Yang S, Hatchell K, Fusaro V, Nielsen S, Kwiatkowski DJ, Sonpavde GP, Pomerantz M, Garber JE, Freedman ML, Rana HQ, Gusev A, Choueiri TK. Trans-ethnic variation in germline variants of patients with renal cell carcinoma. Cell Rep 2021; 34:108926. [PMID: 33789101 DOI: 10.1016/j.celrep.2021.108926] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [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: 09/12/2020] [Revised: 10/27/2020] [Accepted: 03/09/2021] [Indexed: 12/13/2022] Open
Abstract
Prior studies of the renal cell carcinoma (RCC) germline landscape investigated predominantly patients of European ancestry. We examine the frequency of germline pathogenic and likely pathogenic (P/LP) variants in 1,829 patients with RCC from various ancestries. Overall, P/LP variants are found in 17% of patients, among whom 10.3% harbor one or more clinically actionable variants with potential preventive or therapeutic utility. Patients of African ancestry with RCC harbor significantly more P/LP variants in FH compared to patients of non-African ancestry with RCC and African controls from the Genome Aggregation Database (gnomAD). Patients of non-African ancestry have significantly more P/LP variants in CHEK2 compared to patients of African ancestry with RCC and non-Finnish Europeans controls. Non-Africans with RCC have more actionable variants compared to Africans with RCC. This work helps understand the underlying biological differences in RCC between Africans and non-Africans and paves the way to more comprehensive genomic characterization of underrepresented populations.
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Affiliation(s)
- Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amin H Nassar
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine and Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Elio Adib
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine and Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stefan M Groha
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Elie W Akl
- Division of Pulmonary and Critical Care Medicine and Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Bradley A McGregor
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Shan Yang
- Invitae Corporation, San Francisco, CA, USA
| | | | | | | | - David J Kwiatkowski
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine and Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Guru P Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mark Pomerantz
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Judy E Garber
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Division of Population Sciences, Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Huma Q Rana
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Division of Population Sciences, Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Alexander Gusev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Toni K Choueiri
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine and Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Adib E, Jain RK, Skelton WP, Freeman D, Curran C, Akl EW, Nassar A, Ravi P, Mantia C, Merchan JR, Tan W, Plastini TM, Choueiri TK, Sonpavde G. Impact of FGFR2/3 activating genomic alterations on response to enfortumab vedotin in metastatic urothelial carcinoma (mUC). J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.6_suppl.472] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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
472 Background: Enfortumab Vedotin (EV), an antibody-drug conjugate that targets nectin-4, is approved for metastatic urothelial carcinoma (mUC) progressing post-platinum and PD1/L1 inhibitor therapy. Erdafitinib is approved in patients for post-platinum mUC with activating genomic alterations in FGFR2/3, but the activity of EV in this subset is unclear. We investigated the activity of EV in patients (pts) with mUC based on FGFR2/3 genotype to inform management. Methods: In this multi-center, retrospective analysis, we assessed the objective response rate (ORR) to EV in mUC pts with and without FGFR2/3 genomic alterations detected by targeted panel next-generation sequencing. Activating gene fusions and known hotspots mutations in the two genes were considered. Descriptive analysis of ORR and patient characteristics was performed. Fisher’s exact test and binomial test with two-tailed p-value were used. Results: 40 pts were available from 4 institutions. Most pts were male (31/40, 78%) and the median age at start of EV was 74.1 (range 49 – 90) years. Ten patients (25%) had upper tract urothelial carcinoma (UTUC), and 33 (82%) had baseline ECOG performance status of 0-1. 31 of 39 patients had received both platinum-based chemotherapy and PD1/L1 inhibitors. Seven patients had confirmed activating hotspot FGFR3 mutations (p.S249C or p.Y373C). One pt had FGFR2 high-level amplification (HA), and one had FGFR3 HA. Of 36 patients evaluable for ORR, 18 had partial response (PR), 12 had stable disease (SD) and 6 had progressive disease (PD). Patients with FGFR2/3 activating mutations exhibited an ORR that was not statistically different compared to patients without no mutations: 2/7 (29%; 90% CI: 5 – 66%) vs. 16/29 (55%; 90% CI: 38 – 71%) respectively ( p-value = 0.4). 3/7 patients with FGFR3 hotspot mutations received an FGFR2/3 inhibitor and none responded; one of them had a sequential response to EV. Conclusions: In this multi-center retrospective cohort, FGFR2/3 activating genomic alterations did not appear to compromise response to EV in mUC. Larger studies are required to confirm our findings and optimal sequencing of EV and erdafitinib in mUC pts with FGFR2/3 genomic alterations requires further assessment.
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Affiliation(s)
- Elio Adib
- Dana Farber Cancer Institute, Boston, MA
| | | | | | | | | | | | | | | | | | | | | | | | - Toni K. Choueiri
- Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
| | - Guru Sonpavde
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
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McGregor BA, Adib E, Xie W, Stadler WM, Zakharia Y, Michaelson MD, Alva AS, Farah S, Nassar A, Harshman LC, Kwiatkowski DJ, McKay RR, Choueiri TK. Biomarker-based phase II study of sapanisertib (TAK-228), an mTORC1/2 inhibitor in patients with refractory metastatic renal cell carcinoma (mRCC). J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.6_suppl.306] [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: 11/20/2022] Open
Abstract
306 Background: Approved rapalogs inhibit mTORC1 and have limited activity in mRCC, possibly due to compensatory feedback loops. Sapanisertib addresses the incomplete inhibition of the mTOR pathway through targeting of both mTORC1 and mTORC2 with antitumour activity demonstrated in patients with mRCC. In this multicenter, single arm phase II trial, we evaluated the efficacy of sapanisertib in patients with mRCC progressing on standard therapies (NCT03097328). Methods: Eligible mRCC patients had an ECOG performance status of 0-2 and had progressed on standard therapies. Prior therapy with rapalogs (everolimus, temsirolimus) and variant RCC histologies were permitted. Patients had a baseline biopsy and received treatment with sapanisertib 30 mg by mouth weekly until unacceptable toxicity or disease progression. The primary endpoint was overall response rate (ORR) by RECIST 1.1. Tissue biomarkers of mTOR pathway activation were explored. Results: We enrolled 38 mRCC patients (clear cell = 28; variant histology = 10) between August 2017 and November 2019. The majority had intermediate (76%) or poor risk (11%) by IMDC criteria. Twenty (53%) had received ≥ 3 lines of therapy; 13 (34%) patients received prior rapalogs. Median follow-up was 10.4 months (range 1-27.4) and median duration of therapy was 1.6 (range 0.3-13.8) months. ORR by central review was 2 of 38 (5.3% 90%CI: 1%-15.6%). 31.6% of all patients and 30.7% of those with prior rapalog exposure had some tumor shrinkage during course of treatment. Median progression free survival (PFS) was 2.5 months (95% CI 1.8,3.7). Twelve patients (32%) developed treatment-related grade 3 adverse events (AEs) with no grade 4 or 5 toxicity reported; 6 patients (16%) required dose reduction and 4 (11%) discontinued therapy for AEs. Oncopanel tumor sequencing identified alterations in the mTOR pathway in 6 of 29 patients ( MTOR n = 2, PTEN n = 3, TSC1 n = 1.) Reduced PTEN expression by immunohistochemistry was seen in 7 of 19 patients. There was no association between mTOR pathway mutations or PTEN loss and response to sapanisertib. Conclusions: In this study we demonstrate minimal activity of sapanisertib in patients with treatment refractory mRCC with no clear benefit among patients with mTOR/PTEN pathway alterations. Additional treatment strategies are needed for patients with refractory mRCC.
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Affiliation(s)
| | - Elio Adib
- Dana Farber Cancer Institute, Boston, MA
| | | | | | | | | | | | - Subrina Farah
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | | | | | | | - Rana R. McKay
- Moores Cancer Center at UC San Diego Health, San Diego, CA
| | - Toni K. Choueiri
- Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
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Nuzzo PV, Curran C, Adib E, Freeman D, Nassar A, Alaiwi SA, Bakouny Z, McGregor BA, Choueiri TK, Jain RK, McKay RR, Sonpavde G. Impact of concurrent ACE inhibitors and ARBs on outcomes with immune-checkpoint inhibitors (ICIs) for patients (pts) with metastatic renal cell carcinoma (mRCC). J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.6_suppl.354] [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: 11/20/2022] Open
Abstract
354 Background: The renin-angiotensin system (RAS) is involved in regulation of angiogenesis and cell proliferation and may improve drug delivery by enhancing tumor perfusion partly by downregulating transforming growth factor (TGF)-β. Since (TGF)-β appears to be associated with resistance in patients receiving immune checkpoint inhibitors (ICIs), we investigated whether angiotensin converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARBs) may enhance the outcomes of mRCC pts receiving ICI. Methods: Data from mRCC pts who received ICIs at the Dana-Farber Cancer Institute (DFCI) was obtained. Data for ACEI and ARB administration was collected with concurrent administration defined as ongoing therapy from the time of starting ICI . The Kaplan-Meier method and Cox were used to evaluate the impact of concurrent ACEI/ARB on overall survival (OS). Results: Data was available for 134 pts. The mean age was 63 years (Range 37-85)). 94 (70%) pts were male. The therapies included Nivolumab+/-Other (104), Atezolizumab+/-Other (21), Pembrolizumab+/-Other (8) and Durvalumab +Tremelimumab (1). 35 (25%) pts received ICI as first line treatment, 52 (39%) received as second line treatment, and 48 (36%) received as third line or higher. Out of the 134 pts, 39 (29%) had been treated with an ACEI or ARB during ICI treatment. Out of the 39 pts who had ACEI or ARB, 2 (5%) had complete response (CR) as best response, 11 (28%) had partial response (PR), 17 (46%) had stable disease (SD) and 9 (23%) had progressive disease (PD). Out of the 95 pts who did not receive ACEI or ARB, 3 pts (3%) had CR as their best response to ICI, 19 (21%) had PR, 39 (43%) had SD, and 29 (32%) had PD, (5 patients’ best response were unevaluable). The median OS for those who had ACEI/ARBs and did not have ACEI/ARBs was 32 months and 20 months respectively. Univariable analysis revealed that patients who received ACEI/ARBs had improved OS (Logrank p-value = 0.002; HR = 2.5 [95%CI: 1.4 - 4.5]). Conclusions: In this hypothesis-generating study, concurrent ACEI/ARBs are associated with better outcomes for mRCC pts receiving ICIs. Given the availability of ACEI/ARBs, it is important to validate this result in a larger dataset and after controlling for known prognostic factors.
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Affiliation(s)
| | | | - Elio Adib
- Dana Farber Cancer Institute, Boston, MA
| | | | | | | | - Ziad Bakouny
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Toni K. Choueiri
- Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
| | | | | | - Guru Sonpavde
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
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