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Rolfo CD, Madison RW, Pasquina LW, Brown DW, Huang Y, Hughes JD, Graf RP, Oxnard GR, Husain H. Measurement of ctDNA Tumor Fraction Identifies Informative Negative Liquid Biopsy Results and Informs Value of Tissue Confirmation. Clin Cancer Res 2024; 30:2452-2460. [PMID: 38526394 PMCID: PMC11145175 DOI: 10.1158/1078-0432.ccr-23-3321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/23/2024] [Accepted: 03/21/2024] [Indexed: 03/26/2024]
Abstract
PURPOSE Liquid biopsy (LBx) for tumor profiling is increasingly used, but concerns remain regarding negative results. A lack of results may truly reflect tumor genomics, or it may be a false negative that would be clarified by tissue testing. A method of distinguishing between these scenarios could help clarify when follow-on tissue testing is valuable. EXPERIMENTAL DESIGN Here we evaluate circulating tumor DNA (ctDNA) tumor fraction (TF), a quantification of ctDNA in LBx samples, for utility in identifying true negative results. We assessed concordance between LBx and tissue-based results, stratified by ctDNA TF, in a real-world genomic dataset of paired samples across multiple disease types. We also evaluated the frequency of tissue results identifying driver alterations in patients with lung cancer after negative LBx in a real-world clinicogenomic database. RESULTS The positive percent agreement and negative predictive value between liquid and tissue samples for driver alterations increased from 63% and 66% for all samples to 98% and 97% in samples with ctDNA TF ≥1%. Among 505 patients with lung cancer with no targetable driver alterations found by LBx who had subsequent tissue-based profiling, 37% had a driver, all of which had ctDNA TF <1%. CONCLUSIONS Patients with lung cancer with negative LBx and ctDNA TF ≥1% are unlikely to have a driver detected on confirmatory tissue testing; such informative negative results may benefit instead from prompt treatment initiation. Conversely, negative LBx with ctDNA TF <1% will commonly have a driver identified by follow-up tissue testing and should be prioritized for reflex testing.
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Affiliation(s)
- Christian D. Rolfo
- Center of Thoracic Oncology at The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | | | - Yanmei Huang
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | | | - Ryon P. Graf
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | | | - Hatim Husain
- Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, California
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2
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Neal JW, Minichiello K, Brennick R, Huang RSP, Hiemenz MC, Amler C, Patel J, Herbst R, Reckamp KL, Borghaei H, Highleyman L, Redman MW, Pasquina LW, Kozono DE. A process to reanalyze clinical DNA sequencing data for biomarker matching in the Lung-MAP Master Protocol. Oncologist 2024; 29:e843-e847. [PMID: 38597608 PMCID: PMC11144964 DOI: 10.1093/oncolo/oyae062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/13/2024] [Indexed: 04/11/2024] Open
Abstract
For cancer clinical trials that require central confirmation of tumor genomic profiling, exhaustion of tissue from standard-of-care testing may prevent enrollment. For Lung-MAP, a master protocol that requires results from a defined centralized clinical trial assay to assign patients to a therapeutic substudy, we developed a process to repurpose existing commercial vendor raw genomic data for eligibility: genomic data reanalysis (GDR). Molecular results for substudy assignment were successfully generated for 369 of the first 374 patients (98.7%) using GDR for Lung-MAP, with a median time from request to result of 9 days. During the same period, 691 of 791 (87.4%) tissue samples received successfully yielded results, in a median of 14 days beyond sample acquisition. GDR is a scalable bioinformatic pipeline that expedites reanalysis of existing data for clinical trials in which validated integral biomarker testing is required for participation.
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Affiliation(s)
- Joel W Neal
- Department of Medicine, Stanford Cancer Institute, Division of Oncology, Stanford University, Palo Alto, CA, United States
| | - Katherine Minichiello
- SWOG Statistics and Data Management Center, Seattle, WA, United States
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Ryan Brennick
- Clinical Operations, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Richard S P Huang
- Clinical Development, Foundation Medicine, Inc., Cambridge, MA, United State
| | | | - Cornel Amler
- Clinical Operations, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Jyoti Patel
- Northwestern University-Feinberg School of Medicine, Chicago, IL, United States
| | - Roy Herbst
- Yale Comprehensive Cancer Center, New Haven, CT, United States
| | - Karen L Reckamp
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Hossein Borghaei
- Department of Hematology/Oncology, Fox Chase Cancer Center, Philadelphia, PA, United States
| | - Louise Highleyman
- SWOG Statistics and Data Management Center, Seattle, WA, United States
| | - Mary W Redman
- SWOG Statistics and Data Management Center, Seattle, WA, United States
- Clinical Research Division, Fred Hutchison Cancer CenterSeattle WA, United States
| | - Lincoln W Pasquina
- Clinical Development, Foundation Medicine, Inc., Cambridge, MA, United State
| | - David E Kozono
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
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3
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Darmofal M, Suman S, Atwal G, Toomey M, Chen JF, Chang JC, Vakiani E, Varghese AM, Balakrishnan Rema A, Syed A, Schultz N, Berger MF, Morris Q. Deep-Learning Model for Tumor-Type Prediction Using Targeted Clinical Genomic Sequencing Data. Cancer Discov 2024; 14:1064-1081. [PMID: 38416134 PMCID: PMC11145170 DOI: 10.1158/2159-8290.cd-23-0996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/07/2023] [Accepted: 02/23/2024] [Indexed: 02/29/2024]
Abstract
Tumor type guides clinical treatment decisions in cancer, but histology-based diagnosis remains challenging. Genomic alterations are highly diagnostic of tumor type, and tumor-type classifiers trained on genomic features have been explored, but the most accurate methods are not clinically feasible, relying on features derived from whole-genome sequencing (WGS), or predicting across limited cancer types. We use genomic features from a data set of 39,787 solid tumors sequenced using a clinically targeted cancer gene panel to develop Genome-Derived-Diagnosis Ensemble (GDD-ENS): a hyperparameter ensemble for classifying tumor type using deep neural networks. GDD-ENS achieves 93% accuracy for high-confidence predictions across 38 cancer types, rivaling the performance of WGS-based methods. GDD-ENS can also guide diagnoses of rare type and cancers of unknown primary and incorporate patient-specific clinical information for improved predictions. Overall, integrating GDD-ENS into prospective clinical sequencing workflows could provide clinically relevant tumor-type predictions to guide treatment decisions in real time. SIGNIFICANCE We describe a highly accurate tumor-type prediction model, designed specifically for clinical implementation. Our model relies only on widely used cancer gene panel sequencing data, predicts across 38 distinct cancer types, and supports integration of patient-specific nongenomic information for enhanced decision support in challenging diagnostic situations. See related commentary by Garg, p. 906. This article is featured in Selected Articles from This Issue, p. 897.
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Affiliation(s)
- Madison Darmofal
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York
- Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, New York
| | - Shalabh Suman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Gurnit Atwal
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Vector Institute, Toronto, Ontario, Canada
| | - Michael Toomey
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York
- Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, New York
| | - Jie-Fu Chen
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jason C. Chang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Efsevia Vakiani
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Anna M. Varghese
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Aijazuddin Syed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nikolaus Schultz
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael F. Berger
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Quaid Morris
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York
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Hammer PM, Wang A, Vermij L, Zdravkovic S, Heilbroner L, Ryan E, Geisick RLP, Charu V, Longacre TA, Suarez CJ, Ho C, Jenkins TM, Mills AM, Bosse T, Howitt BE. Molecular Classification Outperforms Histologic Classification in Prognostication of High-grade Endometrial Carcinomas With Undifferentiated and Sarcomatous Components. Am J Surg Pathol 2024:00000478-990000000-00356. [PMID: 38780000 DOI: 10.1097/pas.0000000000002250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Since the establishment of 4 molecular subgroups of endometrial carcinoma (EC), there has been significant interest in understanding molecular classification in the context of histologic features and diagnoses. ECs with undifferentiated, spindle, and/or sarcomatous components represent a diagnostically challenging subset of tumors with overlapping clinical and histologic features. We examined the clinicopathologic, morphologic, immunohistochemical, and molecular features of these tumors identified in our institutions' pathology databases using immunohistochemistry and targeted sequencing. Disease-specific survival (DSS) and progression-free survival (PFS) were analyzed using Kaplan-Meier curves and log-rank tests. One hundred sixty-two ECs were included: carcinosarcomas (UCS; n=96), dedifferentiated/undifferentiated EC (DDEC/UDEC; n=49), and grade 3 endometrioid EC with spindled growth (GR3spEEC) (n=17). All molecular subgroups were represented in all histologic subtypes and included 12 (7%) POLE-mutated (POLEmut), 43 (27%) mismatch repair-deficient (MMRd), 77 (48%) p53-abnormal (p53abn), and 30 (19%) no specific molecular profile (NSMP) tumors. However, the molecular classification (irrespective of histologic diagnosis) was a significant predictor for both DSS (P=0.008) and P≤0.0001). POLEmut EC showed an excellent prognosis with no recurrences or deaths from the disease. MMRd tumors also showed better outcomes relative to NSMP and p53abn tumors. In conclusion, molecular classification provides better prognostic information than histologic diagnosis for high-grade EC with undifferentiated and sarcomatous components. Our study strongly supports routine molecular classification of these tumors, with emphasis on molecular group, rather than histologic subtyping, in providing prognostication.
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Affiliation(s)
- Phoebe M Hammer
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Aihui Wang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Lisa Vermij
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Sabrina Zdravkovic
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Lucas Heilbroner
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Emily Ryan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Rachel L P Geisick
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Vivek Charu
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Teri A Longacre
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Carlos J Suarez
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Chandler Ho
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Taylor M Jenkins
- Department of Pathology, Virginia Commonwealth University Health System, Richmond
| | - Anne M Mills
- Department of Pathology, University of Virginia Health System, Charlottesville, VA
| | - Tjalling Bosse
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Brooke E Howitt
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
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5
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Caranfil E, Lami K, Uegami W, Fukuoka J. Artificial Intelligence and Lung Pathology. Adv Anat Pathol 2024:00125480-990000000-00110. [PMID: 38780094 DOI: 10.1097/pap.0000000000000448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
This manuscript provides a comprehensive overview of the application of artificial intelligence (AI) in lung pathology, particularly in the diagnosis of lung cancer. It discusses various AI models designed to support pathologists and clinicians. AI models supporting pathologists are to standardize diagnosis, score PD-L1 status, supporting tumor cellularity count, and indicating explainability for pathologic judgements. Several models predict outcomes beyond pathologic diagnosis and predict clinical outcomes like patients' survival and molecular alterations. The manuscript emphasizes the potential of AI to enhance accuracy and efficiency in pathology, while also addressing the challenges and future directions for integrating AI into clinical practice.
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Affiliation(s)
- Emanuel Caranfil
- Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki
| | - Kris Lami
- Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki
| | - Wataru Uegami
- Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki
- Department of Pathology, Kameda Medical Center, Kamogawa, Japan
| | - Junya Fukuoka
- Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki
- Department of Pathology, Kameda Medical Center, Kamogawa, Japan
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6
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Zollinger DR, Rivers E, Fine A, Huang Y, Son J, Kalyan A, Gray W, Baharian G, Hammond C, Ram R, Ringman L, Hafez D, Savel D, Patel V, Dantone M, Guo C, Childress M, Xu C, Johng D, Wallden B, Pokharel P, Camara W, Hegde PS, Hughes J, Carter C, Davarpanah N, Degaonkar V, Gupta P, Mariathasan S, Powles T, Ferree S, Dennis L, Young A. Analytical validation of a novel comprehensive genomic profiling informed circulating tumor DNA monitoring assay for solid tumors. PLoS One 2024; 19:e0302129. [PMID: 38753705 PMCID: PMC11098318 DOI: 10.1371/journal.pone.0302129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/28/2024] [Indexed: 05/18/2024] Open
Abstract
Emerging technologies focused on the detection and quantification of circulating tumor DNA (ctDNA) in blood show extensive potential for managing patient treatment decisions, informing risk of recurrence, and predicting response to therapy. Currently available tissue-informed approaches are often limited by the need for additional sequencing of normal tissue or peripheral mononuclear cells to identify non-tumor-derived alterations while tissue-naïve approaches are often limited in sensitivity. Here we present the analytical validation for a novel ctDNA monitoring assay, FoundationOne®Tracker. The assay utilizes somatic alterations from comprehensive genomic profiling (CGP) of tumor tissue. A novel algorithm identifies monitorable alterations with a high probability of being somatic and computationally filters non-tumor-derived alterations such as germline or clonal hematopoiesis variants without the need for sequencing of additional samples. Monitorable alterations identified from tissue CGP are then quantified in blood using a multiplex polymerase chain reaction assay based on the validated SignateraTM assay. The analytical specificity of the plasma workflow is shown to be 99.6% at the sample level. Analytical sensitivity is shown to be >97.3% at ≥5 mean tumor molecules per mL of plasma (MTM/mL) when tested with the most conservative configuration using only two monitorable alterations. The assay also demonstrates high analytical accuracy when compared to liquid biopsy-based CGP as well as high qualitative (measured 100% PPA) and quantitative precision (<11.2% coefficient of variation).
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Affiliation(s)
| | | | - Alexander Fine
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Yanmei Huang
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Joseph Son
- Natera, Austin, TX, United States of America
| | | | - Wren Gray
- Natera, Austin, TX, United States of America
| | | | | | - Rosalyn Ram
- Natera, Austin, TX, United States of America
| | | | - Dina Hafez
- Natera, Austin, TX, United States of America
| | | | - Vipul Patel
- Natera, Austin, TX, United States of America
| | | | - Cui Guo
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | | | - Chang Xu
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Dorhyun Johng
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Brett Wallden
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Prapti Pokharel
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - William Camara
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Priti S. Hegde
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Jason Hughes
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Corey Carter
- Roche/Genentech, South San Francisco, CA, United States of America
| | | | - Viraj Degaonkar
- Roche/Genentech, South San Francisco, CA, United States of America
| | - Pratyush Gupta
- Roche/Genentech, South San Francisco, CA, United States of America
| | | | - Thomas Powles
- Barts Cancer Institute, Barts Experimental Cancer Medicine Centre, Queen Mary University of London, Barts Health, London, United Kingdom
| | - Sean Ferree
- Natera, Austin, TX, United States of America
| | - Lucas Dennis
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Amanda Young
- Foundation Medicine Inc, Cambridge, MA, United States of America
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7
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Walsh RJ, Ong R, Cheo SW, Low PQ, Jayagopal A, Lee M, Ngoi N, Ow SG, Wong AL, Lim SE, Lim YW, Heong V, Sundar R, Soo RA, Chee CE, Yong WP, Goh BC, Lee SC, Tan DS, Lim JS. Molecular profiling of metastatic breast cancer and target-based therapeutic matching in an Asian tertiary phase I oncology unit. Front Oncol 2024; 14:1342346. [PMID: 38812774 PMCID: PMC11133600 DOI: 10.3389/fonc.2024.1342346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/03/2024] [Indexed: 05/31/2024] Open
Abstract
Introduction Molecular profiling of metastatic breast cancer (MBC) through the widespread use of next-generation sequencing (NGS) has highlighted actionable mutations and driven trials of targeted therapy matched to tumour molecular profiles, with improved outcomes reported using such an approach. Here, we review NGS results and treatment outcomes for a cohort of Asian MBC patients in the phase I unit of a tertiary centre. Methods Patients with MBC referred to a phase I unit underwent NGS via Ion AmpliSeq Cancer Hotspot v2 (ACH v2, 2014-2017) prior to institutional change to FoundationOne CDx (FM1; 2017-2022). Patients were counselled on findings and enrolled on matched therapeutic trials, where available. Outcomes for all subsequent treatment events were recorded to data cut-off on January 31, 2022. Results A total of 215 patients were enrolled with successful NGS in 158 patients. The PI3K/AKT/PTEN pathway was the most altered with one or more of the pathway member genes PIK3/AKT/PTEN affected in 62% (98/158) patients and 43% of tumours harbouring a PIK3CA alteration. Tumour mutational burden (TMB) was reported in 96/109 FM1 sequenced patients, with a mean TMB of 5.04 mt/Mb and 13% (12/96) with TMB ≥ 10 mt/Mb. Treatment outcomes were evaluable in 105/158 patients, with a pooled total of 216 treatment events recorded. Matched treatment was administered in 47/216 (22%) events and associated with prolonged median progression-free survival (PFS) of 21.0 weeks [95% confidence interval (CI) 11.7, 26.0 weeks] versus 12.1 weeks (95% CI 10.0, 15.4 weeks) in unmatched, with hazard ratio (HR) for progression or death of 0.63 (95% CI 0.41, 0.97; p = 0.034). In the subgroup of PIK3/AKT/PTEN-altered MBC, the HR for progression or death was 0.57 (95% CI 0.35, 0.92; p = 0.02), favouring matched treatment. Per-patient overall survival (OS) analysis (n = 105) showed improved survival for patients receiving matched treatment versus unmatched, with median OS (mOS) of 30.1 versus 11.8 months, HR = 0.45 (95% CI 0.24, 0.84; p = 0.013). Objective response rate (ORR) in the overall population was similar in matched and unmatched treatment events (23.7% versus 17.2%, odds ratio of response 1.14 95% CI 0.50, 2.62; p = 0.75). Conclusions Broad-panel NGS in MBC is feasible, allowing therapeutic matching, which was associated with improvements in PFS and OS.
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Affiliation(s)
- Robert John Walsh
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
| | - Rebecca Ong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Seng Wee Cheo
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
| | - Peter Q.J. Low
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
| | - Aishwarya Jayagopal
- Department of Information Systems and Analytics, School of Computing, National University of Singapore, Singapore, Singapore
| | - Matilda Lee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
| | - Natalie Ngoi
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
| | - Samuel G. Ow
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
| | - Andrea L.A. Wong
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Siew Eng Lim
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
| | - Yi Wan Lim
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
| | - Valerie Heong
- Department of Medical Oncology, Tan Tock Seng Hospital, Singapore, Singapore
| | - Raghav Sundar
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
- Singapore Gastric Cancer Consortium, Singapore, Singapore
| | - Ross A. Soo
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
- Cancer Science Institute, National University of Singapore, Singapore, Singapore
| | - Cheng Ean Chee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
| | - Wei Peng Yong
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
- Cancer Science Institute, National University of Singapore, Singapore, Singapore
| | - Boon Cher Goh
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
- Cancer Science Institute, National University of Singapore, Singapore, Singapore
| | - Soo Chin Lee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
- Cancer Science Institute, National University of Singapore, Singapore, Singapore
| | - David S.P. Tan
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Cancer Science Institute, National University of Singapore, Singapore, Singapore
- National University of Singapore (NUS) Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Joline S.J. Lim
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Cancer Science Institute, National University of Singapore, Singapore, Singapore
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8
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Ichimura N, Urata Y, Kobayashi T, Hibi H. Mutational landscape of oral mucosal melanoma based on comprehensive cancer genomic profiling tests in a Japanese cohort. Oral Oncol 2024; 152:106807. [PMID: 38615585 DOI: 10.1016/j.oraloncology.2024.106807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 04/03/2024] [Accepted: 04/10/2024] [Indexed: 04/16/2024]
Abstract
OBJECTIVES Oral mucosal melanoma (OMM) is a rare but aggressive melanoma subtype. Due to its rarity, the genomic landscape of OMM remains unknown despite a relatively thorough understanding of the genetic profile of cutaneous melanoma (CM). In this study, we analyzed the genomic mutational profiles of Japanese patients with OMM and compared them with those of patients with nose/sinuses mucosal melanoma (NMM) and CM to identify potential therapeutic targets. MATERIALS AND METHODS We extracted clinical and genomic information of patients with OMM (n = 15), NMM (n = 63), and CM (n = 413) who underwent comprehensive genomic profiling tests under the National Health Insurance between June 2019 and November 2023 from the Center for Cancer Genomics and Therapeutics database. RESULTS The most frequent genomic alteration identified in OMM was RICTOR (40%) followed by CDK4 (33.3%), MDM2 (33.3%), KDR (30%), KIT (26.7%), and NF1 (26.7%). CDK4 and MDM2 were co-amplified. Gene alterations in MYC and NRAS were the highest in patients with NMM, followed by those with CM, and no MYC alteration was observed in patients with OMM. BRAF V600 mutation, which is frequently observed in patients with CM (23.2%) were only present in 1.6% of patients with NMM and none in patients with OMM. CONCLUSION This study clarified the genetic differences between OMM and NMM, and the first to report the frequent occurrence of RICTOR amplification in OMM. This analysis offers insights into the development of personalized therapeutics for OMM.
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Affiliation(s)
- Norihisa Ichimura
- Department of Oral and Maxillofacial Surgery, Nagoya University Graduate School School of Medicine, Nagoya, Japan.
| | - Yusuke Urata
- Department of Oral and Maxillofacial Surgery, Nagoya University Hospital, Nagoya, Japan
| | - Takeru Kobayashi
- Department of Oral and Maxillofacial Surgery, Nagoya University Graduate School School of Medicine, Nagoya, Japan
| | - Hideharu Hibi
- Department of Oral and Maxillofacial Surgery, Nagoya University Graduate School School of Medicine, Nagoya, Japan; Department of Oral and Maxillofacial Surgery, Nagoya University Hospital, Nagoya, Japan
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9
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Yamamoto H, Arai H, Oikawa R, Umemoto K, Takeda H, Mizukami T, Kubota Y, Doi A, Horie Y, Ogura T, Izawa N, Moore JA, Sokol ES, Sunakawa Y. The Molecular Landscape of Gastric Cancers for Novel Targeted Therapies from Real-World Genomic Profiling. Target Oncol 2024; 19:459-471. [PMID: 38613733 DOI: 10.1007/s11523-024-01052-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/08/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Panel-based comprehensive genomic profiling is used in clinical practice worldwide; however, large real-world datasets of patients with advanced gastric cancer are not well known. OBJECTIVE We investigated what differences exist in clinically relevant alterations for molecularly defined or age-stratified subgroups. METHODS This was a collaborative biomarker study of a real-world dataset from comprehensive genomic profiling testing (Foundation Medicine, Inc.). Hybrid capture was carried out on at least 324 cancer-related genes and select introns from 31 genes frequently rearranged in cancer. Overall, 4634 patients were available for analyses and were stratified by age (≥ 40/< 40 years), microsatellite instability status, tumor mutational burden status (high 10 ≥ /low < 10 Muts/Mb), Epstein-Barr virus status, and select gene alterations. We analyzed the frequency of alterations with a chi-square test with Yate's correction. RESULTS Genes with frequent alterations included TP53 (60.1%), ARID1A (19.6%), CDKN2A (18.2%), KRAS (16.6%), and CDH1 (15.8%). Differences in comprehensive genomic profiling were observed according to molecularly defined or age-stratified subgroups. Druggable genomic alterations were detected in 31.4% of patients; ATM (4.4%), BRAF V600E (0.4%), BRCA1 (1.5%), BRCA2 (2.9%), ERBB2 amplification (9.2%), IDH1 (0.2%), KRAS G12C (0.7%), microsatellite instability-high (4.8%), NTRK1/2/3 fusion (0.13%), PIK3CA mutation (11.4%), and tumor mutational burden-high (9.4%). CDH1 alterations and MET amplification were significantly more frequent in patients aged < 40 years (27.7 and 6.2%) than in those aged ≥ 40 years (14.7 and 4.0%). CONCLUSIONS Real-world datasets from clinical panel testing revealed the genomic landscape in gastric cancer by subgroup. These findings provide insights for the current therapeutic strategies and future development of treatments in gastric cancer.
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Affiliation(s)
- Hiroyuki Yamamoto
- Department of Bioinformatics, St. Marianna University Graduate School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki, Kanagawa, 216-8511, Japan.
- Department of Gastroenterology, St. Marianna University School of Medicine, Kawasaki, Japan.
| | - Hiroyuki Arai
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Ritsuko Oikawa
- Department of Gastroenterology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Kumiko Umemoto
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Hiroyuki Takeda
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Takuro Mizukami
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Yohei Kubota
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Ayako Doi
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Yoshiki Horie
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Takashi Ogura
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Naoki Izawa
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Jay A Moore
- Cancer Genomics Research, Foundation Medicine, Inc., Cambridge, MA, USA
| | - Ethan S Sokol
- Cancer Genomics Research, Foundation Medicine, Inc., Cambridge, MA, USA
| | - Yu Sunakawa
- Department of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan
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10
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Matoba Y, Devins KM, Milane L, Manning WB, Mazina V, Yeku OO, Rueda BR. High-Grade Endometrial Cancer: Molecular Subtypes, Current Challenges, and Treatment Options. Reprod Sci 2024:10.1007/s43032-024-01544-5. [PMID: 38658487 DOI: 10.1007/s43032-024-01544-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 04/02/2024] [Indexed: 04/26/2024]
Abstract
Although many recent advancements have been made in women's health, perhaps one of the most neglected areas of research is the diagnosis and treatment of high-grade endometrial cancer (EnCa). The molecular classification of EnCa in concert with histology was a major step forward. The integration of profiling for mismatch repair deficiency and Human Epidermal Growth Factor 2 (HER2) overexpression, can further inform treatment options, especially for drug resistant recurrent disease. Recent early phase trials suggest that regardless of subtype, combination therapy with agents that have distinct mechanisms of action is a fruitful approach to the treatment of high-grade EnCa. Unfortunately, although the importance of diagnosis and treatment of high-grade EnCa is well recognized, it is understudied compared to other gynecologic and breast cancers. There remains a tremendous need to couple molecular profiling and biomarker development with promising treatment options to inform new treatment strategies with higher efficacy and safety for all who suffer from high-grade recurrent EnCa.
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Affiliation(s)
- Yusuke Matoba
- Vincent Center for Reproductive Biology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, 60 Blossom St, 02114, Boston, MA, USA
- Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, 02115, Boston, MA, USA
| | - Kyle M Devins
- Department of Pathology, Massachusetts General Hospital, 021151, Boston, MA, USA
| | - Lara Milane
- Department of Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, 02115, Boston, MA, USA
| | - William B Manning
- Vincent Center for Reproductive Biology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, 60 Blossom St, 02114, Boston, MA, USA
- Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, 02115, Boston, MA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, 02114, Boston, MA, USA
| | - Varvara Mazina
- Vincent Center for Reproductive Biology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, 60 Blossom St, 02114, Boston, MA, USA
- Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, 02115, Boston, MA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, 02114, Boston, MA, USA
| | - Oladapo O Yeku
- Vincent Center for Reproductive Biology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, 60 Blossom St, 02114, Boston, MA, USA
- Cancer Center, Massachusetts General Hospital, 55 Fruit St, 02114, Boston, MA, USA
| | - Bo R Rueda
- Vincent Center for Reproductive Biology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, 60 Blossom St, 02114, Boston, MA, USA.
- Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, 02115, Boston, MA, USA.
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11
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Ishikawa M, Nakamura K, Kawano R, Hayashi H, Ikeda T, Saito M, Niida Y, Sasaki J, Okuda H, Ishihara S, Yamaguchi M, Shimada H, Isobe T, Yuza Y, Yoshimura A, Kuroda H, Yukisawa S, Aoki T, Takeshita K, Ueno S, Nakazawa J, Sunakawa Y, Nohara S, Okada C, Nishimiya K, Tanishima S, Nishihara H. Clinical and Diagnostic Utility of Genomic Profiling for Digestive Cancers: Real-World Evidence from Japan. Cancers (Basel) 2024; 16:1504. [PMID: 38672586 PMCID: PMC11048180 DOI: 10.3390/cancers16081504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 04/12/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
The usefulness of comprehensive genomic profiling (CGP) in the Japanese healthcare insurance system remains underexplored. Therefore, this large-scale study aimed to determine the usefulness of CGP in diagnosing digestive cancers. Patients with various cancer types recruited between March 2020 and October 2022 underwent the FoundationOne® CDx assay at the Keio PleSSision Group (19 hospitals in Japan). A scoring system was developed to identify potentially actionable genomic alterations of biological significance and actionable genomic alterations. The detection rates for potentially actionable genomic alterations, actionable genomic alterations, and alterations equivalent to companion diagnosis (CDx), as well as the signaling pathways associated with these alterations in each digestive cancer, were analyzed. Among the 1587 patients, 547 had digestive cancer. The detection rates of potentially actionable genomic alterations, actionable genomic alterations, and alterations equivalent to CDx were 99.5%, 62.5%, and 11.5%, respectively. APC, KRAS, and CDKN2A alterations were frequently observed in colorectal, pancreatic, and biliary cancers, respectively. Most digestive cancers, except esophageal cancer, were adenocarcinomas. Thus, the classification flowchart for digestive adenocarcinomas proposed in this study may facilitate precise diagnosis. CGP has clinical and diagnostic utility in digestive cancers.
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Affiliation(s)
- Marin Ishikawa
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Integrated Medical Research Building 3-S5, 35, Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan; (K.N.); (R.K.); (H.H.); (S.T.); (H.N.)
| | - Kohei Nakamura
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Integrated Medical Research Building 3-S5, 35, Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan; (K.N.); (R.K.); (H.H.); (S.T.); (H.N.)
| | - Ryutaro Kawano
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Integrated Medical Research Building 3-S5, 35, Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan; (K.N.); (R.K.); (H.H.); (S.T.); (H.N.)
| | - Hideyuki Hayashi
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Integrated Medical Research Building 3-S5, 35, Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan; (K.N.); (R.K.); (H.H.); (S.T.); (H.N.)
| | - Tatsuru Ikeda
- Department of Cancer Genome Medical Center, Hakodate Goryoukaku Hospital, 38-3, Goryoukakucho, Hakodate-shi 040-8611, Hokkaido, Japan;
| | - Makoto Saito
- Department of Genetic Medicine, Ibaraki Prefectural Center Hospital, 6528, Koibuchi, Kasama-shi 309-1793, Ibaraki, Japan;
| | - Yo Niida
- Center for Clinical Genomics, Kanazawa Medical University Hospital, 1-1, Daigaku, Uchinada 920-0293, Ishikawa, Japan;
| | - Jiichiro Sasaki
- Research and Development Center for New Medical Frontiers, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara-shi 252-0329, Kanagawa, Japan;
| | - Hiroyuki Okuda
- Department of Medical Oncology, Keiyukai Sapporo Hospital, 1-1 Minami, Hondori 9, Chome, Shiroishi-ku, Sapporo 003-0026, Hokkaido, Japan;
| | - Satoshi Ishihara
- Cancer Genome Diagnosis and Treatment Center, Central Japan International Medical Center, 1-1 Kenkonomachi, Minokamo-shi 505-0010, Gifu, Japan;
| | - Masatoshi Yamaguchi
- Division of Clinical Genetics, Faculty of Medicine, University of Miyazaki Hospital, 5200 Kihara, Kiyotake-cho, Miyazaki-shi 889-1692, Miyazaki, Japan;
| | - Hideaki Shimada
- Department of Surgery and Clinical Oncology, Toho University Graduate School of Medicine, 6-11-1 Omori-nishi, Ota-ku, Tokyo 143-8541, Japan;
| | - Takeshi Isobe
- Cancer Genome Medical Center, Shimane University Hospital, 89-1, Enya-cho, Izumo-shi 693-8501, Shimane, Japan;
| | - Yuki Yuza
- Department of Hematology and Oncology, Tokyo Metropolitan Children’s Medical Center, 2-8-29 Musashidai, Fuchu-shi 183-8561, Tokyo, Japan;
| | - Akinobu Yoshimura
- Department of Clinical Oncology Director, Outpatient Chemotherapy Center, Tokyo Medical University Hospital, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 160-0023, Japan;
| | - Hajime Kuroda
- Department of Pathology, Tokyo Women’s Medical University, Adachi Medical Center, 4-33-1 Kohta, Adachi-ku, Tokyo 123-8558, Japan;
| | - Seigo Yukisawa
- Department of Medical Oncology, Saiseikai Utsunomiya Hospital, 911-1, Takebayashi, Utsunomiya-shi 321-0974, Tochigi, Japan;
| | - Takuya Aoki
- Department of Clinical Oncology, Tokyo Medical University Hachioji Medical Center, 1163, Tatemachi, Hachioji-shi 193-0998, Tokyo, Japan;
| | - Kei Takeshita
- Department of Clinical Genetics, Tokai University Hospital, 143, Shimokasuya, Isehara-shi 259-1193, Kanagawa, Japan;
| | - Shinichi Ueno
- Oncology Center, Kagoshima University Hospital, 8-35-1 Sakuragaoka, Kagoshima-shi 890-0075, Kagoshima, Japan;
| | - Junichi Nakazawa
- Department of Medical Oncology, Kagoshima City Hospital, 37-1, Uearatacho, Kagoshima-shi 890-8760, Kagoshima, Japan;
| | - Yu Sunakawa
- Department of Clinical Oncology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki 216-8511, Kanagawa, Japan;
| | - Sachio Nohara
- Biomedical Informatics Department, Communication Engineering Center, Mitsubishi Electric Software Corporation, Fuji Techno-Square, 5-4-36 Tsukaguchi-Honmachi, Amagasaki-shi 661-0001, Hyogo, Japan; (S.N.); (C.O.); (K.N.)
| | - Chihiro Okada
- Biomedical Informatics Department, Communication Engineering Center, Mitsubishi Electric Software Corporation, Fuji Techno-Square, 5-4-36 Tsukaguchi-Honmachi, Amagasaki-shi 661-0001, Hyogo, Japan; (S.N.); (C.O.); (K.N.)
| | - Ko Nishimiya
- Biomedical Informatics Department, Communication Engineering Center, Mitsubishi Electric Software Corporation, Fuji Techno-Square, 5-4-36 Tsukaguchi-Honmachi, Amagasaki-shi 661-0001, Hyogo, Japan; (S.N.); (C.O.); (K.N.)
| | - Shigeki Tanishima
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Integrated Medical Research Building 3-S5, 35, Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan; (K.N.); (R.K.); (H.H.); (S.T.); (H.N.)
- Biomedical Informatics Department, Communication Engineering Center, Mitsubishi Electric Software Corporation, Fuji Techno-Square, 5-4-36 Tsukaguchi-Honmachi, Amagasaki-shi 661-0001, Hyogo, Japan; (S.N.); (C.O.); (K.N.)
| | - Hiroshi Nishihara
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Integrated Medical Research Building 3-S5, 35, Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan; (K.N.); (R.K.); (H.H.); (S.T.); (H.N.)
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12
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Yamazaki S, Kubota K, Shimizu A, Notake T, Umemura K, Kamachi A, Goto T, Tomida H, Yamashita N, Sato M, Kanno H, Soejima Y. Intrahepatic Cholangiocarcinoma with High Microsatellite Instability and Tumor Mutation Burden That Responded Significantly to Pembrolizumab but Perforated within a Short Period. Intern Med 2024; 63:1105-1112. [PMID: 37779076 PMCID: PMC11081885 DOI: 10.2169/internalmedicine.1492-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 08/17/2023] [Indexed: 10/03/2023] Open
Abstract
Cholangiocarcinoma has a poor prognosis, and resection is the only curative treatment. Pembrolizumab, a programmed death receptor 1 inhibitor, has proven effective against unresectable or metastatic solid tumors with high microsatellite instability (MSI-H) or a high tumor mutation burden (TMB-H). In the present case, pembrolizumab treatment was initiated after standard chemotherapy for MSI-H and TMB-H unresectable intrahepatic cholangiocarcinoma. Intrahepatic tumor necrosis perforated the abdominal cavity. Emergency surgery was performed, but the patient died 36 days after admission. A pathological autopsy revealed that the intrahepatic tumor had almost completely disappeared.
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Affiliation(s)
- Shiori Yamazaki
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan
| | - Koji Kubota
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan
| | - Akira Shimizu
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan
| | - Tsuyoshi Notake
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan
| | - Kentaro Umemura
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan
| | - Atsushi Kamachi
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan
| | - Takamune Goto
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan
| | - Hidenori Tomida
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan
| | - Naho Yamashita
- Department of Laboratory Medicine, Shinshu University School of Medicine, Japan
| | - Midori Sato
- Department of Laboratory Medicine, Shinshu University School of Medicine, Japan
| | - Hiroyuki Kanno
- Department of Pathology, Shinshu University School of Medicine, Japan
| | - Yuji Soejima
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, Japan
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13
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Pelster MS, Silverman IM, Schonhoft JD, Johnson A, Selenica P, Ulanet D, Rimkunas V, Reis-Filho JS. Post-therapy emergence of an NBN reversion mutation in a patient with pancreatic acinar cell carcinoma. NPJ Precis Oncol 2024; 8:82. [PMID: 38561473 PMCID: PMC10985087 DOI: 10.1038/s41698-024-00497-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 12/21/2023] [Indexed: 04/04/2024] Open
Abstract
Pancreatic acinar cell carcinoma (PACC) is a rare form of pancreatic cancer that commonly harbors targetable alterations, including activating fusions in the MAPK pathway and loss-of-function (LOF) alterations in DNA damage response/homologous recombination DNA repair-related genes. Here, we describe a patient with PACC harboring both somatic biallelic LOF of NBN and an activating NTRK1 fusion. Upon disease progression following 13 months of treatment with folinic acid, fluorouracil, irinotecan, and oxaliplatin (FOLFIRINOX), genomic analysis of a metastatic liver biopsy revealed the emergence of a novel reversion mutation restoring the reading frame of NBN. To our knowledge, genomic reversion of NBN has not been previously reported as a resistance mechanism in any tumor type. The patient was treated with, but did not respond to, targeted treatment with a selective NTRK inhibitor. This case highlights the complex but highly actionable genomic landscape of PACC and underlines the value of genomic profiling of rare tumor types such as PACC.
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Affiliation(s)
| | | | | | | | - Pier Selenica
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Jorge S Reis-Filho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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14
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Wang X, Lamberti G, Di Federico A, Alessi J, Ferrara R, Sholl ML, Awad MM, Vokes N, Ricciuti B. Tumor mutational burden for the prediction of PD-(L)1 blockade efficacy in cancer: challenges and opportunities. Ann Oncol 2024:S0923-7534(24)00084-X. [PMID: 38537779 DOI: 10.1016/j.annonc.2024.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/19/2024] [Accepted: 03/19/2024] [Indexed: 05/16/2024] Open
Abstract
Tumor mutational burden (TMB) is a biomarker that measures the number of somatic mutations in a tumor's genome. TMB has emerged as a predictor of response to immune checkpoint inhibitors (ICIs) in various cancer types, and several studies have shown that patients with high TMB have better outcomes when treated with programmed death-ligand 1-based therapies. Recently, the Food and Drug Administration has approved TMB as a companion diagnostic for the use of pembrolizumab in solid tumors. However, despite its potential, the use of TMB as a biomarker for immunotherapy efficacy is limited by several factors. Here we review the limitations of TMB in predicting immunotherapy outcomes in patients with cancer and discuss potential strategies to optimize its use in the clinic.
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Affiliation(s)
- X Wang
- Harvard T.H. Chan School of Public Health, Boston
| | - G Lamberti
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - A Di Federico
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - J Alessi
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - R Ferrara
- University Vita-Salute San Raffaele, Milan; Department of Medical Oncology, IRCCS San Raffaele, Milan, Italy
| | - M L Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston
| | - M M Awad
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - N Vokes
- Department of Thoracic Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, USA
| | - B Ricciuti
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA.
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15
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Nakazawa M, Harada G, Ghanem P, Bubie A, Kiedrowski LA, Murray JC, Marrone KA, Scott SC, Houseknecht S, Falcon CJ, Evans P, Feliciano J, Hann CL, Ettinger DS, Smith KN, Anagnostou V, Forde PM, Brahmer JR, Levy B, Drilon A, Lam VK. Impact of Tumor-intrinsic Molecular Features on Survival and Acquired Tyrosine Kinase Inhibitor Resistance in ALK-positive NSCLC. CANCER RESEARCH COMMUNICATIONS 2024; 4:786-795. [PMID: 38407352 PMCID: PMC10939006 DOI: 10.1158/2767-9764.crc-24-0065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 02/17/2024] [Accepted: 02/19/2024] [Indexed: 02/27/2024]
Abstract
While tyrosine kinase inhibitors (TKI) have shown remarkable efficacy in anaplastic lymphoma kinase (ALK) fusion-positive advanced non-small cell lung cancer (NSCLC), clinical outcomes vary and acquired resistance remains a significant challenge. We conducted a retrospective study of patients with ALK-positive NSCLC who had clinico-genomic data independently collected from two academic institutions (n = 309). This was paired with a large-scale genomic cohort of patients with ALK-positive NSCLC who underwent liquid biopsies (n = 1,118). Somatic co-mutations in TP53 and loss-of-function alterations in CDKN2A/B were most commonly identified (24.1% and 22.5%, respectively in the clinical cohort), each of which was independently associated with inferior overall survival (HR: 2.58; 95% confidence interval, CI: 1.62-4.09 and HR: 1.93; 95% CI: 1.17-3.17, respectively). Tumors harboring EML4-ALK variant 3 (v3) were not associated with specific co-alterations but were more likely to develop ALK resistance mutations, particularly G1202R and I1171N (OR: 4.11; P < 0.001 and OR: 2.94; P = 0.026, respectively), and had inferior progression-free survival on first-line TKI (HR: 1.52; 95% CI: 1.03-2.25). Non-v3 tumors were associated with L1196M resistance mutation (OR: 4.63; P < 0.001). EML4-ALK v3 and somatic co-alterations in TP53 and CDKN2A/B are associated with inferior clinical outcomes. v3 status is also associated with specific patterns of clinically important ALK resistance mutations. These tumor-intrinsic features may inform rational selection and optimization of first-line and consolidative therapy. SIGNIFICANCE In a large-scale, contemporary cohort of patients with advanced ALK-positive NSCLC, we evaluated molecular characteristics and their impact on acquired resistance mutations and clinical outcomes. Our findings that certain ALK variants and co-mutations are associated with differential survival and specific TKI-relevant resistance patterns highlight potential molecular underpinnings of the heterogenous response to ALK TKIs and nominate biomarkers that may inform patient selection for first-line and consolidative therapies.
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Affiliation(s)
- Mari Nakazawa
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Guilherme Harada
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical Center, New York, New York
| | - Paola Ghanem
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | | | - Joseph C. Murray
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kristen A. Marrone
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Susan C. Scott
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Stefanie Houseknecht
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christina J. Falcon
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical Center, New York, New York
| | - Patrick Evans
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical Center, New York, New York
| | - Josephine Feliciano
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christine L. Hann
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - David S. Ettinger
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kellie N. Smith
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Valsamo Anagnostou
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Patrick M. Forde
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Julie R. Brahmer
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Benjamin Levy
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Vincent K. Lam
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
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16
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Dondi A, Borgsmüller N, Ferreira PF, Haas BJ, Jacob F, Heinzelmann-Schwarz V, Beerenwinkel N. De novo detection of somatic variants in long-read single-cell RNA sequencing data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.06.583775. [PMID: 38496441 PMCID: PMC10942462 DOI: 10.1101/2024.03.06.583775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
In cancer, genetic and transcriptomic variations generate clonal heterogeneity, possibly leading to treatment resistance. Long-read single-cell RNA sequencing (LR scRNA-seq) has the potential to detect genetic and transcriptomic variations simultaneously. Here, we present LongSom, a computational workflow leveraging LR scRNA-seq data to call de novo somatic single-nucleotide variants (SNVs), copy-number alterations (CNAs), and gene fusions to reconstruct the tumor clonal heterogeneity. For SNV calling, LongSom distinguishes somatic SNVs from germline polymorphisms by reannotating marker gene expression-based cell types using called variants and applying strict filters. Applying LongSom to ovarian cancer samples, we detected clinically relevant somatic SNVs that were validated against single-cell and bulk panel DNA-seq data and could not be detected with short-read (SR) scRNA-seq. Leveraging somatic SNVs and fusions, LongSom found subclones with different predicted treatment outcomes. In summary, LongSom enables de novo SNVs, CNAs, and fusions detection, thus enabling the study of cancer evolution, clonal heterogeneity, and treatment resistance.
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Affiliation(s)
- Arthur Dondi
- ETH Zurich, Department of Biosystems Science and Engineering, Schanzenstrasse 44, 4056 Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, Schanzenstrasse 44, 4056 Basel, Switzerland
| | - Nico Borgsmüller
- ETH Zurich, Department of Biosystems Science and Engineering, Schanzenstrasse 44, 4056 Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, Schanzenstrasse 44, 4056 Basel, Switzerland
| | - Pedro F. Ferreira
- ETH Zurich, Department of Biosystems Science and Engineering, Schanzenstrasse 44, 4056 Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, Schanzenstrasse 44, 4056 Basel, Switzerland
| | - Brian J. Haas
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA
| | - Francis Jacob
- University Hospital Basel and University of Basel, Ovarian Cancer Research, Department of Biomedicine, Hebelstrasse 20, 4031 Basel, Switzerland
| | - Viola Heinzelmann-Schwarz
- University Hospital Basel and University of Basel, Ovarian Cancer Research, Department of Biomedicine, Hebelstrasse 20, 4031 Basel, Switzerland
| | | | - Niko Beerenwinkel
- ETH Zurich, Department of Biosystems Science and Engineering, Schanzenstrasse 44, 4056 Basel, Switzerland
- SIB Swiss Institute of Bioinformatics, Schanzenstrasse 44, 4056 Basel, Switzerland
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Yorio J, Lofgren KT, Lee JK, Tolba K, Oxnard GR, Schrock AB, Huang RS, Brisbin L. Association of Timely Comprehensive Genomic Profiling With Precision Oncology Treatment Use and Patient Outcomes in Advanced Non-Small-Cell Lung Cancer. JCO Precis Oncol 2024; 8:e2300292. [PMID: 38452312 PMCID: PMC10939592 DOI: 10.1200/po.23.00292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 12/11/2023] [Accepted: 01/04/2024] [Indexed: 03/09/2024] Open
Abstract
PURPOSE Timely biomarker testing remains out of reach for many patients with advanced non-small-cell lung cancer (aNSCLC). Here, we studied the quality-of-care implications of closing the gap in timely receipt of comprehensive genomic profiling (CGP) to inform first-line (1L) decisions. METHODS Using a real-world clinicogenomic database, we studied testing and 1L treatment patterns in aNSCLC after the approval of pembrolizumab in combination with pemetrexed and carboplatin (May 10, 2017). To estimate the association of timely CGP results with therapy selection and patient outcomes, we identified patients with no previous genomic testing beyond PD-L1 immunohistochemistry and dichotomized patients by whether CGP results were available before or after 1L therapy initiation. RESULTS In total, 2,694 patients were included in the 1L therapy decision impact assessment. Timely CGP increased matched targeted therapy use by 14 percentage points (17% with CGP v 2.8% without) and precision immune checkpoint inhibitor (ICPI) use by 14 percentage points (18% with CGP v 3.9% without). Receipt of timely CGP resulted in an estimated 31 percentage point decrease in ICPI use among ALK/EGFR/RET/ROS1-positive patients at an expected per-patient reduction in ineffective ICPI therapy cost of $13,659.37 with timely CGP to inform 1L treatment selection. Patient benefit of CGP extended to real-world time to therapy discontinuation (median time to therapy discontinuation: 3.9 v 10 months [hazard ratio, HR, 0.54 [95% CI, 0.42 to 0.70]; P = 1.9E-06; adjusted hazard ratio [aHR], 0.50 [95% CI, 0.38 to 0.67]; P = 2.0E-06) in 1L driver-positive patients. This effect was not significant for real-world overall survival (median overall survival: 32 v 29 months [HR, 1.2 [95% CI, 0.84 to 1.67]; P = .33; aHR, 1.4 [95% CI, 0.92 to 1.99]; P = .12). CONCLUSION Timely CGP is associated with the quality of patient care as measured by 1L matched targeted therapy use, time to therapy discontinuation, and avoidance of ineffective, costly ICPIs.
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18
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Lehrich BM, Zhang J, Monga SP, Dhanasekaran R. Battle of the biopsies: Role of tissue and liquid biopsy in hepatocellular carcinoma. J Hepatol 2024; 80:515-530. [PMID: 38104635 PMCID: PMC10923008 DOI: 10.1016/j.jhep.2023.11.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/27/2023] [Accepted: 11/27/2023] [Indexed: 12/19/2023]
Abstract
The diagnosis and management of hepatocellular carcinoma (HCC) have improved significantly in recent years. With the introduction of immunotherapy-based combination therapy, there has been a notable expansion in treatment options for patients with unresectable HCC. Simultaneously, innovative molecular tests for early detection and management of HCC are emerging. This progress prompts a key question: as liquid biopsy techniques rise in prominence, will they replace traditional tissue biopsies, or will both techniques remain relevant? Given the ongoing challenges of early HCC detection, including issues with ultrasound sensitivity, accessibility, and patient adherence to surveillance, the evolution of diagnostic techniques is more relevant than ever. Furthermore, the accurate stratification of HCC is limited by the absence of reliable biomarkers which can predict response to therapies. While the advantages of molecular diagnostics are evident, their potential has not yet been fully harnessed, largely because tissue biopsies are not routinely performed for HCC. Liquid biopsies, analysing components such as circulating tumour cells, DNA, and extracellular vesicles, provide a promising alternative, though they are still associated with challenges related to sensitivity, cost, and accessibility. The early results from multi-analyte liquid biopsy panels are promising and suggest they could play a transformative role in HCC detection and management; however, comprehensive clinical validation is still ongoing. In this review, we explore the challenges and potential of both tissue and liquid biopsy, highlighting that these diagnostic methods, while distinct in their approaches, are set to jointly reshape the future of HCC management.
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Affiliation(s)
- Brandon M Lehrich
- Department of Pathology and Pittsburgh Liver Institute, University of Pittsburgh, School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Josephine Zhang
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University, Staford, CA, 94303, USA
| | - Satdarshan P Monga
- Department of Pathology and Pittsburgh Liver Institute, University of Pittsburgh, School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
| | - Renumathy Dhanasekaran
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University, Staford, CA, 94303, USA.
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19
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Posada JM, Yakirevich E, Kamat AM, Sood A, Jacob JM, Bratslavsky G, Grivas P, Spiess PE, Li R, Necchi A, Mega AE, Golijanin DJ, Pavlick D, Huang RSP, Lin D, Danziger N, Sokol ES, Sivakumar S, Ross JS, Cheng L. Characterizing the Genomic Landscape of the Micropapillary Subtype of Urothelial Carcinoma of the Bladder Harboring Activating Extracellular Mutations of ERBB2. Mod Pathol 2024; 37:100424. [PMID: 38219954 DOI: 10.1016/j.modpat.2024.100424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 12/02/2023] [Accepted: 01/07/2024] [Indexed: 01/16/2024]
Abstract
The micropapillary subtype of urothelial carcinoma (MPUC) of the bladder is a very aggressive histological variant of urothelial bladder cancer (UBC). A high frequency of MPUC contains activating mutations in the extracellular domain (ECD) of ERBB2. We sought to further characterize ERBB2 ECD-mutated MPUC to identify additional genomic alterations that have been associated with tumor progression and therapeutic response. In total, 5,485 cases of archived formalin-fixed, paraffin-embedded UBC underwent comprehensive genomic profiling to identify ERBB2 ECD-mutated MPUC and evaluate the frequencies of genomic co-alterations. We identified 219 cases of UBC with ERBB2 ECD mutations (74% S310F and 26% S310Y), of which 63 (28.8%) were MPUC. Genomic analysis revealed that TERT, TP53, and ARID1A were the most common co-altered genes in ERBB2-mutant MPUC (82.5%, 58.7%, and 39.7%, respectively) and did not differ from ERBB2-mutant non-MPUC (86.5%, 51.9%, and 35.3%). The main differences between ERBB2 ECD-mutated MPUC compared with non-MPUC were KMT2D, RB1, and MTAP alterations. KMT2D and RB1 are tumor-suppressor genes. KMT2D frequency was significantly decreased in ERBB2 ECD-mutated MPUC (6.3%) in contrast to non-MPUC (27.6%; P < .001). RB1 mutations were more frequent in ERBB2 ECD-mutated MPUC (33.3%) than in non-MPUC (17.3%; P = .012). Finally, MTAP loss, an emerging biomarker for new synthetic lethality-based anticancer drugs, was less frequent in ERBB2 ECD-mutated MPUC (11.1%) than in non-MPUC (26.9%; P = .018). Characterizing the genomic landscape of MPUC may not only improve our fundamental knowledge about this aggressive morphological variant of UBC but also has the potential to identify possible prognostic and predictive biomarkers that may drive tumor progression and dictate treatment response to therapeutic approaches.
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Affiliation(s)
- Jessica M Posada
- Department of Pathology and Laboratory Medicine, The Warren Albert Medical School of Brown University, Lifespan Academic Medical Center, and the Legorreta Cancer Center at Brown University, Providence, Rhode Island; Laboratory of Systems Cancer Biology, The Rockefeller University, New York, New York
| | - Evgeny Yakirevich
- Department of Pathology and Laboratory Medicine, The Warren Albert Medical School of Brown University, Lifespan Academic Medical Center, and the Legorreta Cancer Center at Brown University, Providence, Rhode Island
| | - Ashish M Kamat
- Department of Urology, the University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Akshay Sood
- Department of Urology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | | | | | - Petros Grivas
- Fred Hutchinson Cancer Center, University of Washington, Seattle, Washington
| | - Philippe E Spiess
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Roger Li
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Andrea Necchi
- San Raffaele Hospital and Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Anthony E Mega
- Division of Hematology and Oncology, The Warren Alpert Medical School of Brown University, Lifespan Cancer Institute, Providence, Rhode Island
| | - Dragan J Golijanin
- Division of Urology, Department of Surgery, Brown University, The Miriam Hospital, Providence, Rhode Island
| | - Dean Pavlick
- Foundation Medicine Inc., Cambridge, Massachusetts
| | | | - Douglas Lin
- Foundation Medicine Inc., Cambridge, Massachusetts
| | | | | | | | - Jeffrey S Ross
- Upstate Medical University, Syracuse, New York; Foundation Medicine Inc., Cambridge, Massachusetts.
| | - Liang Cheng
- Department of Pathology and Laboratory Medicine, The Warren Albert Medical School of Brown University, Lifespan Academic Medical Center, and the Legorreta Cancer Center at Brown University, Providence, Rhode Island.
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20
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de Jager VD, Timens W, Bayle A, Botling J, Brcic L, Büttner R, Fernandes MGO, Havel L, Hochmair M, Hofman P, Janssens A, van Kempen L, Kern I, Machado JC, Mohorčič K, Popat S, Ryška A, Wolf J, Schuuring E, van der Wekken AJ. Future perspective for the application of predictive biomarker testing in advanced stage non-small cell lung cancer. THE LANCET REGIONAL HEALTH. EUROPE 2024; 38:100839. [PMID: 38476751 PMCID: PMC10928270 DOI: 10.1016/j.lanepe.2024.100839] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/16/2023] [Accepted: 01/08/2024] [Indexed: 03/14/2024]
Abstract
For patients with advanced stage non-small cell lung cancer (NSCLC), treatment strategies have changed significantly due to the introduction of targeted therapies and immunotherapy. In the last few years, we have seen an explosive growth of newly introduced targeted therapies in oncology and this development is expected to continue in the future. Besides primary targetable aberrations, emerging diagnostic biomarkers also include relevant co-occurring mutations and resistance mechanisms involved in disease progression, that have impact on optimal treatment management. To accommodate testing of pending biomarkers, it is necessary to establish routine large-panel next-generation sequencing (NGS) for all patients with advanced stage NSCLC. For cost-effectiveness and accessibility, it is recommended to implement predictive molecular testing using large-panel NGS in a dedicated, centralized expert laboratory within a regional oncology network. The central molecular testing center should host a regional Molecular Tumor Board and function as a hub for interpretation of rare and complex testing results and clinical decision-making.
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Affiliation(s)
- Vincent D. de Jager
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Wim Timens
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Arnaud Bayle
- Oncostat U1018, Inserm, Paris-Saclay University, Gustave Roussy, Villejuif, France
| | - Johan Botling
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy of University of Gothenburg, Gothenburg, Sweden
| | - Luka Brcic
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - Reinhard Büttner
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany
| | | | - Libor Havel
- Charles University and Thomayer Hospital, Prague, Czech Republic
| | - Maximilian Hochmair
- Karl Landsteiner Institute of Lung Research and Pulmonary Oncology, Klinik Floridsdorf, Vienna, Austria
- Department of Respiratory and Critical Care Medicine, Klinik Floridsdorf, Vienna Healthcare Group, Vienna, Austria
| | - Paul Hofman
- IHU RespirERA, FHU OncoAge, Nice University Hospital, Côte d’Azur University, Nice, France
| | - Annelies Janssens
- Department of Oncology, University Hospital Antwerp, University of Antwerp, Edegem, Belgium
| | - Léon van Kempen
- Department of Pathology, University Hospital Antwerp, University of Antwerp, Edegem, Belgium
| | - Izidor Kern
- Laboratory for Cytology and Pathology, University Clinic Golnik, Golnik, Slovenia
| | - José Carlos Machado
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Faculty of Medicine of the University of Porto, Portugal
- Institute for Research and Innovation in Health (i3S), Porto, Portugal
| | - Katja Mohorčič
- University Clinic of Respiratory and Allergic Diseases, Golnik, Slovenia
| | - Sanjay Popat
- Lung Unit, Royal Marsden NHS Trust, London, England, UK
| | - Aleš Ryška
- The Fingerland Department of Pathology, Charles University Medical Faculty and University Hospital, Czech Republic
| | - Jürgen Wolf
- Lung Cancer Group Cologne, Department I for Internal Medicine and Center for Integrated Oncology Cologne/Bonn, University Hospital Cologne, Cologne, Germany
| | - Ed Schuuring
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Anthonie J. van der Wekken
- Department of Pulmonary Diseases and Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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21
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Simpson JT. Detecting Somatic Mutations Without Matched Normal Samples Using Long Reads. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.26.582089. [PMID: 38464143 PMCID: PMC10925087 DOI: 10.1101/2024.02.26.582089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
DNA sequencing of tumours to identify somatic mutations has become a critical tool to guide the type of treatment given to cancer patients. The gold standard for mutation calling is comparing sequencing data from the tumour to a matched normal sample to avoid mis-classifying inherited SNPs as mutations. This procedure works extremely well, but in certain situations only a tumour sample is available. While approaches have been developed to find mutations without a matched normal, they have limited accuracy or require specific types of input data (e.g. ultra-deep sequencing). Here we explore the application of single molecule long read sequencing to calling somatic mutations without matched normal samples. We develop a simple theoretical framework to show how haplotype phasing is an important source of information for determining whether a variant is a somatic mutation. We then use simulations to assess the range of experimental parameters (tumour purity, sequencing depth) where this approach is effective. These ideas are developed into a prototype somatic mutation caller, smrest, and its use is demonstrated on two highly mutated cancer cell lines. Finally, we argue that this approach has potential to measure clinically important biomarkers that are based on the genome-wide distribution of mutations: tumour mutation burden and mutation signatures.
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Affiliation(s)
- Jared T. Simpson
- Ontario Institute for Cancer Research, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
- Department of Computer Science, University of Toronto, Toronto, Canada
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22
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Lin DI, Huang RSP, Ladas I, Keller RB, Patel NR, Lakis S, Decker B, Janovitz T, Mata DA, Ross JS, Vergilio JA, Elvin JA, Herbst RS, Mack PC, Killian JK. Precision needle-punch tumor enrichment from paraffin blocks improves the detection of clinically actionable genomic alterations and biomarkers. Front Oncol 2024; 14:1328512. [PMID: 38444675 PMCID: PMC10912171 DOI: 10.3389/fonc.2024.1328512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 01/11/2024] [Indexed: 03/07/2024] Open
Abstract
Background While many molecular assays can detect mutations at low tumor purity and variant allele frequencies, complex biomarkers such as tumor mutational burden (TMB), microsatellite instability (MSI), and genomic loss of heterozygosity (gLOH) require higher tumor purity for accurate measurement. Scalable, quality-controlled, tissue-conserving methods to increase tumor nuclei percentage (TN%) from tumor specimens are needed for complex biomarkers and hence necessary to maximize patient matching to approved therapies or clinical trial enrollment. We evaluated the clinical utility and performance of precision needle-punch enrichment (NPE) compared with traditional razor blade macroenrichment of tumor specimens on molecular testing success. Methods Pathologist-directed NPE was performed manually on formalin-fixed, paraffin embedded (FFPE) blocks. Quality control of target capture region and quantity of residual tumor in each tissue block was determined via a post-enrichment histologic slide recut. Resultant tumor purity and biomarker status were determined by the computational analysis pipeline component of the FDA-approved next-generation sequencing (NGS) assay, FoundationOne®CDx. Following NPE implementation for real-world clinical samples, assay performance and biomarker (MSI, TMB, gLOH) detection were analyzed. Results In real-world clinical samples, enrichment rate via NPE was increased to ~50% over a 2.5-year period, exceeding the prior use of razor blade macro-enrichment (<30% of cases) prior to NPE implementation due to proven efficacy in generating high quality molecular results from marginal samples and the ease of use for both pathologist and histotechnologists. NPE was associated with lower test failures, higher computational tumor purity, and higher rates of successful TMB, MSI and gLOH determination when stratified by pre-enriched (incipient) tumor nuclei percentage. In addition, challenging cases in which tumor content was initially insufficient for testing were salvaged for analysis of biomarker status, gene amplification/deletion, and confident mutant or wild-type gene status determination. Conclusions Pathologist-directed precision enrichment from tissue blocks (aka NPE) increases tumor purity, and consequently, yields a greater number of successful tests and complex biomarker determinations. Moreover, this process is rapid, safe, inexpensive, scalable, and conserves patient surgical pathology material. NPE may constitute best practice with respect to enriching tumor cells from low-purity specimens for biomarker detection in molecular laboratories.
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Affiliation(s)
- Douglas I Lin
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Richard S P Huang
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Ioannis Ladas
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Rachel B Keller
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Nimesh R Patel
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Sotirios Lakis
- Foundation Medicine GmbH, Pathology Department, Penzberg, Germany
| | - Brennan Decker
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Tyler Janovitz
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Douglas A Mata
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Jeffrey S Ross
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Jo-Anne Vergilio
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Julia A Elvin
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
| | - Roy S Herbst
- Department of Medical Oncology, Yale School of Medicine, Yale Cancer Center, New Haven, CT, United States
| | - Philip C Mack
- Division of Hematology and Oncology, Department of Medicine, Tisch Cancer Institute at Mount Sinai, New York, NY, United States
| | - Jonathan K Killian
- Department of Pathology and Diagnostic Medicine, Foundation Medicine, Inc., Cambridge, MA, United States
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23
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Kasi PM, Lee JK, Pasquina LW, Decker B, Vanden Borre P, Pavlick DC, Allen JM, Parachoniak C, Quintanilha JCF, Graf RP, Schrock AB, Oxnard GR, Lovly CM, Tukachinsky H, Subbiah V. Circulating Tumor DNA Enables Sensitive Detection of Actionable Gene Fusions and Rearrangements Across Cancer Types. Clin Cancer Res 2024; 30:836-848. [PMID: 38060240 PMCID: PMC10870120 DOI: 10.1158/1078-0432.ccr-23-2693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/03/2023] [Accepted: 12/05/2023] [Indexed: 12/08/2023]
Abstract
PURPOSE Genomic rearrangements can generate potent oncogenic drivers or disrupt tumor suppressor genes. This study examines the landscape of fusions and rearrangements detected by liquid biopsy (LBx) of circulating tumor DNA (ctDNA) across different cancer types. EXPERIMENTAL DESIGN LBx from 53,842 patients with 66 solid tumor types were profiled using FoundationOneLiquid CDx, a hybrid-capture sequencing platform that queries 324 cancer-related genes. Tissue biopsies (TBx) profiled using FoundationOneCDx were used as a comparator. RESULTS Among all LBx, 7,377 (14%) had ≥1 pathogenic rearrangement detected. A total of 3,648 (6.8%) LBx had ≥1 gain-of-function (GOF) oncogene rearrangement, and 4,428 (8.2%) LBx had ≥1 loss-of-function rearrangement detected. Cancer types with higher prevalence of GOF rearrangements included those with canonical fusion drivers: prostate cancer (19%), cholangiocarcinoma (6.4%), bladder (5.5%), and non-small cell lung cancer (4.4%). Although the prevalence of driver rearrangements was lower in LBx than TBx overall, the frequency of detection was comparable in LBx with a tumor fraction (TF) ≥1%. Rearrangements in FGFR2, BRAF, RET, and ALK, were detected across cancer types, but tended to be clonal variants in some cancer types and potential acquired resistance variants in others. CONCLUSIONS In contrast to some prior literature, this study reports detection of a wide variety of rearrangements in ctDNA. The prevalence of driver rearrangements in tissue and LBx was comparable when TF ≥1%. LBx presents a viable alternative when TBx is not available, and there may be less value in confirmatory testing when TF is sufficient.
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Affiliation(s)
- Pashtoon M. Kasi
- Weill Cornell Medicine, Englander Institute of Precision Medicine, New York Presbyterian Hospital, New York, New York
| | | | | | | | | | | | | | | | | | - Ryon P. Graf
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | | | | | | | | | - Vivek Subbiah
- The University of Texas MD Anderson Cancer Center, Houston, Texas
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24
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Heilmann AM, Riess JW, McLaughlin-Drubin M, Huang RSP, Hjulstrom M, Creeden J, Alexander BM, Erlich RL. Insights of Clinical Significance From 109 695 Solid Tumor Tissue-Based Comprehensive Genomic Profiles. Oncologist 2024; 29:e224-e236. [PMID: 37682776 PMCID: PMC10836312 DOI: 10.1093/oncolo/oyad251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 08/06/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND FoundationOneCDx is approved in the US and Japan as a companion diagnostic test to identify patients with cancer who may benefit from treatment with 30 drug therapies in the US and 23 in Japan. Tumor profiling with FoundationOneCDx also detects genomic findings with evidence of clinical significance that may inform clinical care decisions beyond companion diagnostic claims. This observational study reports the breadth and impact of clinical decision insights from FoundationOneCDx solid tumor profiles. MATERIALS AND METHODS Consecutive test result reports for patients with solid tumor diagnoses (n = 109 695) were retrospectively analyzed for clinically significant predictive, prognostic, and diagnostic genomic alterations and signatures, determined in accordance with professional guidelines. Interventional clinical trials with targeted therapies or immune checkpoint inhibitors were matched to tumor profiles based on evidence that the genomic finding may be an actionable, investigational, or hypothetical target in the patient's tumor type. RESULTS In 14 predefined cancer types (80.7% of analyzed solid tumors), predictive, prognostic, and diagnostic markers were reported in 47.6%, 13.2%, and 4.5% of samples, respectively, accounting for a total of 51.2% of tumor profiles. Pan-cancer predictive markers of tumor mutational burden (TMB) of 10 or more mutations per megabase, high microsatellite instability (MSI), or NTRK1/2/3 fusions were observed in 15.6%, 2.0%, and 0.1% of solid tumors, respectively. Most solid tumor profiles (89.2%) had genomic results that could theoretically inform decisions on the selection of immunotherapy and targeted therapy clinical trials. CONCLUSION For this real-world population of patients with FoundationOneCDx solid tumor profiles in the routine course of clinical care, clinically significant findings were reported for approximately half of patients with genomic results.
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Affiliation(s)
| | - Jonathan W Riess
- University of California Davis Comprehensive Cancer Center, Sacramento, CA, USA
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25
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Shao C, Ren Y, Zhou H, Lee LC, Chen C, Dettman EJ, Cristescu R, Gozman A, Jin F, Zhou W. Biomarker Testing Journey Among Patients with Advanced Solid Tumors and Treatment Patterns by Homologous Recombination Repair Status: A Clinico-Genomic Database Study. Adv Ther 2024; 41:759-776. [PMID: 38169059 DOI: 10.1007/s12325-023-02734-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/09/2023] [Indexed: 01/05/2024]
Abstract
INTRODUCTION Defects in the homologous recombination repair (HRR) pathway can include mutations in BRCA1 and BRCA2 (BRCAm) and other HRR genes (HRRm). These mutations are associated with a homologous recombination deficiency (HRD) phenotype. We evaluated testing journey and treatment patterns by BRCAm, HRRm, and HRD status in a real-world dataset. METHODS Deidentified data for patients who had undergone comprehensive genomic profiling using FoundationOne®CDx were collected through December 31, 2020, from a real-world multi-tumor clinico-genomic database (CGDB) capturing data from clinics in the United States. Patients eligible for inclusion in this analysis had a confirmed diagnosis with advanced or metastatic disease between January 1, 2018, and December 31, 2019, for 1 of 15 solid tumor types. Objectives were to evaluate patient treatment patterns by BRCAm, HRRm, and HRD status and to describe the timing of when (throughout disease course) comprehensive genomic profiling was performed. RESULTS Among 9457 patients included in the overall population with evaluable biomarker status, 7856 (83.1%) received ≥ 1 systemic therapy. Among the 7856 patients who received systemic therapy, 2324 (30.0%) underwent testing before first-line therapy, 4114 (52.4%) were tested after receiving first-line therapy and before receiving subsequent therapy (if any), 970 (12.3%) were tested after second-line therapy and before receiving subsequent therapy (if any), and 447 (5.7%) patients underwent testing after receiving third-line therapy. A higher proportion of patients with BRCAm, HRRm, or HRD-positive status were treated with poly(ADP-ribose) polymerase (PARP) inhibitors across all lines of therapy. There was no evidence of a meaningful difference in the proportion of patients who received other treatment (including chemotherapy and immunotherapy) by BRCAm, HRRm, or HRD status. CONCLUSION The majority of patients from this real-world dataset underwent FoundationOne®CDx testing after initiation of first-line treatment. Testing appeared to influence treatment patterns, with a higher proportion of patients with BRCAm, HRRm, and HRD-positive disease receiving PARP inhibitors.
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Affiliation(s)
- Changxia Shao
- Merck & Co., Inc., Rahway, NJ, USA.
- , Mailstop WP37A-250, 770 Sumneytown Pike, West Point, PA, 19486, USA.
| | | | | | | | - Cai Chen
- Merck & Co., Inc., Rahway, NJ, USA
| | | | | | | | - Fan Jin
- Merck & Co., Inc., Rahway, NJ, USA
| | - Wei Zhou
- Merck & Co., Inc., Rahway, NJ, USA
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Paller CJ, Tukachinsky H, Maertens A, Decker B, Sampson JR, Cheadle JP, Antonarakis ES. Pan-Cancer Interrogation of MUTYH Variants Reveals Biallelic Inactivation and Defective Base Excision Repair Across a Spectrum of Solid Tumors. JCO Precis Oncol 2024; 8:e2300251. [PMID: 38394468 PMCID: PMC10901435 DOI: 10.1200/po.23.00251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 11/22/2023] [Accepted: 12/11/2023] [Indexed: 02/25/2024] Open
Abstract
PURPOSE Biallelic germline pathogenic variants of the base excision repair (BER) pathway gene MUTYH predispose to colorectal cancer (CRC) and other cancers. The possible association of heterozygous variants with broader cancer susceptibility remains uncertain. This study investigated the prevalence and consequences of pathogenic MUTYH variants and MUTYH loss of heterozygosity (LOH) in a large pan-cancer analysis. MATERIALS AND METHODS Data from 354,366 solid tumor biopsies that were sequenced as part of routine clinical care were analyzed using a validated algorithm to distinguish germline from somatic MUTYH variants. RESULTS Biallelic germline pathogenic MUTYH variants were identified in 119 tissue biopsies. Most were CRCs and showed increased tumor mutational burden (TMB) and a mutational signature consistent with defective BER (COSMIC Signature SBS18). Germline heterozygous pathogenic variants were identified in 5,991 biopsies and their prevalence was modestly elevated in some cancer types. About 12% of these cancers (738 samples: including adrenal gland cancers, pancreatic islet cell tumors, nonglioma CNS tumors, GI stromal tumors, and thyroid cancers) showed somatic LOH for MUTYH, higher rates of chromosome 1p loss (where MUTYH is located), elevated genomic LOH, and higher COSMIC SBS18 signature scores, consistent with BER deficiency. CONCLUSION This analysis of MUTYH alterations in a large set of solid cancers suggests that in addition to the established role of biallelic pathogenic MUTYH variants in cancer predisposition, a broader range of cancers may possibly arise in MUTYH heterozygotes via a mechanism involving somatic LOH at the MUTYH locus and defective BER. However, the effect is modest and requires confirmation in additional studies before being clinically actionable.
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Affiliation(s)
- Channing J Paller
- Johns Hopkins University School of Medicine, Oncology, Baltimore, MD
| | | | - Alexandra Maertens
- Johns Hopkins University, Bloomberg School of Public Health, Center for Alternatives to Animal Testing (CAAT), Baltimore, MD
| | | | - Julian R Sampson
- Institute of Medical Genetics, Division of Cancer and Genetics, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Jeremy P Cheadle
- Institute of Medical Genetics, Division of Cancer and Genetics, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Emmanuel S Antonarakis
- University of Minnesota Masonic Cancer Center, Division of Hematology, Oncology and Transplantation, Minneapolis, MN
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Economides MP, Nakazawa M, Lee JW, Li X, Hollifield L, Chambers R, Sarfaty M, Goldberg JD, Antonarakis ES, Wise DR. Case Series of Men with the Germline APC I1307K variant and Treatment-Emergent Neuroendocrine Prostate Cancer. Clin Genitourin Cancer 2024; 22:e31-e37.e1. [PMID: 37482523 DOI: 10.1016/j.clgc.2023.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/23/2023] [Accepted: 06/24/2023] [Indexed: 07/25/2023]
Abstract
INTRODUCTION Somatic mutations in the Wnt signaling gene Adenomatous Polyposis Coli (APC) promote metastatic prostate cancer (PCa) progression. Less is known regarding the impact of germline APC mutations on PCa outcomes. We sought to investigate the prevalence of aggressive variant PCa (AVPC) and treatment-emergent neuroendocrine PCa (t-NEPC) in patients with the germline APC I1307K variant, an alteration found in 7% of Ashkenazi Jewish men. MATERIALS AND METHODS We report a retrospective cohort study comparing patients with PCa and either APC I1307K germline mutation, APC somatic mutations, or unselected patients. Proportions of patients with AVPC among all the cases were estimated along with 95% Clopper-Pearson exact confidence intervals (CI). Odds ratios with 95% CI were provided for the prevalence of t-NEPC and AVPC in patients with germline APC I1307K compared to patients with frameshift alterations in APC. RESULTS From 2016-2022, 18 patients with PCa at 3 institutions with the germline APC (I1307K) mutation were identified. Clinically-defined AVPC was found in 8 of the 15 cases with metastatic disease (53%; 95% CI: 26%-79%). Combined somatic alterations in two or more of RB1, TP53 or PTEN (molecularly-defined AVPC) were found in 5/18 cases (28%; 95% CI: 10%-54%). When compared to 20 patients with APC somatic frameshift mutations, patients with the germline APC I1307K variant had a significantly increased risk of AVPC (OR 7.2; 95% CI 1.27, 40.68). CONCLUSION PCa that develops in the presence of the germline APC I1307K mutation appear to be enriched for clinically-defined and molecularly-defined AVPC and in particular, for t-NEPC.
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Affiliation(s)
- Minas P Economides
- Department of Medicine, Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY
| | - Mari Nakazawa
- Department of Medicine, Johns Hopkins University, Baltimore, MD
| | - Jonathan W Lee
- Department of Medicine, Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY
| | - Xiaochun Li
- Division of Biostatistics, Department of Population Health, NYU Grossman School of Medicine and Biostatistics Shared Resource, NYU Perlmutter Cancer Center, New York, NY
| | - Lucas Hollifield
- Department of Genetics, Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY
| | - Rachelle Chambers
- Department of Genetics, Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY
| | - Michal Sarfaty
- Sheba Medical Center, Institute of Oncology, Israel Sackler Faculty of Medicine, Tel-Aviv, Israel
| | - Judith D Goldberg
- Division of Biostatistics, Department of Population Health, NYU Grossman School of Medicine and Biostatistics Shared Resource, NYU Perlmutter Cancer Center, New York, NY
| | | | - David R Wise
- Department of Medicine, Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY.
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Vogel A, Murugesan K, Kendre G, Quintanilha JCF, Ross JS, Brummer T, Saborowski A. Association of RNF43 Genetic Alterations With BRAF V600E and MSI high in Colorectal Cancer. JCO Precis Oncol 2024; 8:e2300411. [PMID: 38394466 DOI: 10.1200/po.23.00411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/14/2023] [Accepted: 12/05/2023] [Indexed: 02/25/2024] Open
Abstract
PURPOSE Recent studies have provided evidence for a predictive value of RNF43 genetic alterations (GAs) as biomarkers for targeted therapies in microsatellite-stable (MSS) colorectal cancer (CRC). These data have the potential to prioritize treatment strategies in patients with BRAFV600E-mutant CRC and help to identify a subgroup that is more likely to derive benefit versus those patients for whom alternative treatment approaches are needed. We were therefore interested in defining the precise frequency of BRAFV600E and RNF43 GAs and their respective overlap in a large cohort of patients with CRC. METHODS To address this question, we performed a retrospective analysis that included 52,969 patients diagnosed with CRC from the FoundationCORE database. RESULTS We observed a striking association of RNF43 GAs with MSI and tumor mutational burden status and BRAFV600E mutations. Overall, 23% of MSS patients with confirmed BRAFV600E mutation harbor an RNF43 GA-which accounts for 1.1% of all patients with CRC and for 15.7% of all CRC BRAFV600E cases. CONCLUSION Ongoing phase III clinical trials, such as BREAKWATER, should aim to incorporate broader genetic profiling to further validate the superior sensitivity of patients with RNF43-mutant, MSS BRAFV600E CRC to anti-EGFR-/BRAFi-based therapies.
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Affiliation(s)
- Arndt Vogel
- Toronto General Hospital, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Hannover Medical School, Hannover, Germany
| | | | - Gajanan Kendre
- Department of Life Science, National Institute of Technology Rourkela (NITR), Rourkela, India
| | | | | | - Tilman Brummer
- Institute of Molecular Medicine and Cell Research, ZBMZ, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Comprehensive Cancer Center Freiburg (CCCF), Medical Center, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Center for Biological Signalling Studies BIOSS, University of Freiburg, Freiburg, Germany
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Rotow JK, Lee JK, Madison RW, Oxnard GR, Jänne PA, Schrock AB. Real-World Genomic Profile of EGFR Second-Site Mutations and Other Osimertinib Resistance Mechanisms and Clinical Landscape of NSCLC Post-Osimertinib. J Thorac Oncol 2024; 19:227-239. [PMID: 37806383 DOI: 10.1016/j.jtho.2023.09.1453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/11/2023] [Accepted: 09/29/2023] [Indexed: 10/10/2023]
Abstract
INTRODUCTION The emergence of osimertinib as standard of care for EGFR-mutant NSCLC has renewed the need to understand and overcome drug resistance. We sought to understand the genomics and real-world treatment landscape of NSCLC with EGFR C797S and other on- and off-target resistance mechanisms. METHODS Comprehensive genomic profiling (CGP) results from tissue or blood samples from 93,065 patients with NSCLC were queried for osimertinib EGFR second-site resistance mutations (ssEGFRms; C797, L718, G724, G796, L792). A real-world electronic health record-derived deidentified clinicogenomic database of patients with NSCLC undergoing CGP from approximately 280 U.S. cancer clinics was queried to assess post-osimertinib resistance and clinical treatment outcomes. RESULTS A ssEGFRm was identified in 239 of 8845 (2.7%) EGFR-driven (L858R or exon 19 deletion) NSCLCs, most frequently C797 (71%), L718 (15%), and G724 (9.5%). ssEGFRms were not equally distributed across drivers; C797 and G724 changes strongly favored exon 19 deletion and L718, G796 and L792 favored L858R. Post-osimertinib CGP detected ssEGFRm in 19% of the cases (39 of 205); in paired pre-/post-osimertinib samples, on- and off-target resistance was largely mutually exclusive and observed in 24% and 27% of the cases, respectively. Of 391 patients with post-osimertinib treatment data, 62% received a chemotherapy-based regimen, whereas 25% received a targeted therapy or clinical study drug. Median real-world overall survival was 11.4 months from osimertinib progression. CONCLUSIONS The osimertinib resistance landscape is diverse with on-target ssEGFRm and off-target resistance detected in tissue and liquid biopsy. Post-osimertinib, patients are receiving primarily chemotherapy-based regimens with poor outcomes, and CGP at resistance may offer an opportunity to inform therapeutic development and improve treatment selection.
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Affiliation(s)
- Julia K Rotow
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jessica K Lee
- Department of Clinical Development, Foundation Medicine, Inc., Boston, Massachusetts
| | - Russell W Madison
- Department of Clinical Development, Foundation Medicine, Inc., Boston, Massachusetts
| | - Geoffrey R Oxnard
- Department of Clinical Development, Foundation Medicine, Inc., Boston, Massachusetts
| | - Pasi A Jänne
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Alexa B Schrock
- Department of Clinical Development, Foundation Medicine, Inc., Boston, Massachusetts.
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Evrard C, Cortes U, Ndiaye B, Bonnemort J, Martel M, Aguillon R, Tougeron D, Karayan-Tapon L. An Innovative and Accurate Next-Generation Sequencing-Based Microsatellite Instability Detection Method for Colorectal and Endometrial Tumors. J Transl Med 2024; 104:100297. [PMID: 38008183 DOI: 10.1016/j.labinv.2023.100297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 11/20/2023] [Accepted: 11/20/2023] [Indexed: 11/28/2023] Open
Abstract
The detection of microsatellite instability (MSI) and mismatch repair (MMR) deficiency has become mandatory for most tumors in recent years, owing to the development of immune checkpoint inhibitors as a highly effective therapy for MMR deficiency/MSI tumors. The timely and efficient detection of MSI is valuable, and new methods are increasingly being developed. To date, MMR assessment has been performed using immunohistochemistry of the 4 MMR proteins and/or microsatellite stability/MSI using PCR, mostly using the pentaplex panel. The implementation of next-generation sequencing (NGS) for MSI analysis would improve the effectiveness at a lower cost and in less time. This study describes the development of 8 new microsatellites combined with a classification algorithm, termed "Octaplex CaBio-MSID" (for Cancérologie Biologique MSI Detection tool), to assess MSI using NGS. A series of 303 colorectal cancer and 88 endometrial cancer samples were assessed via MSI testing using NGS using the Octaplex CaBio-MSID algorithm. The sensitivity and specificity of Octaplex CaBio-MSID were 98.4% and 98.4% for colorectal cancers, and 89.3% and 100% for endometrial cancers, respectively. This new NGS-based MSI detection method outperforms previously published methods (ie, Idylla [Biocartis], OncoMate MSI Dx [Promega], and Foundation One CDx [Roche Foundation Medicine]). Although highly efficient, Octaplex CaBio-MSID requires validation in a larger independent series of different tumor types.
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Affiliation(s)
- Camille Evrard
- Université de Poitiers, PRoDiCeT, Poitiers, France; CHU de Poitiers, Service d'Oncologie médicale, Poitiers, France.
| | - Ulrich Cortes
- CHU de Poitiers, Service de Cancérologie Biologique, Poitiers, France
| | - Birama Ndiaye
- CHU de Poitiers, Service de Cancérologie Biologique, Poitiers, France
| | | | - Marine Martel
- CHU de Poitiers, Service de Cancérologie Biologique, Poitiers, France
| | - Roxanne Aguillon
- CHU de Poitiers, Service de Cancérologie Biologique, Poitiers, France
| | - David Tougeron
- Université de Poitiers, PRoDiCeT, Poitiers, France; CHU de Poitiers, Service d'hépato-Gastro-Entérologie, Poitiers, France
| | - Lucie Karayan-Tapon
- Université de Poitiers, PRoDiCeT, Poitiers, France; CHU de Poitiers, Service de Cancérologie Biologique, Poitiers, France
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Burns L, Tukachinsky H, Raskina K, Huang RSP, Schrock AB, Sands J, Kulke MH, Oxnard GR, Tapan U. Real-World comprehensive genomic profiling data for diagnostic clarity in pulmonary Large-Cell neuroendocrine carcinoma. Lung Cancer 2024; 188:107454. [PMID: 38159439 DOI: 10.1016/j.lungcan.2023.107454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 11/18/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Pulmonary large-cell neuroendocrine carcinoma (LCNEC) is an uncommon subtype of lung cancer believed to represent a spectrum of tumors sharing characteristics of both small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). Other groups have proposed genomic LCNEC subtypes, including small cell-like, non-small cell-like, and carcinoid-like subtypes. The primary goal of this study was to better define the NSCLC-like subtype with comprehensive genomic profiling (CGP). METHODS An institutional database was queried to identify tissue specimens (TBx, N = 1,426) and liquid biopsies (LBx, N = 39) submitted for CGP during routine clinical care (8/2014 - 7/2023) with a disease ontology of LCNEC. TBx were profiled with FoundationOne® (F1) or F1CDx, using hybrid-capture technology to detect genomic alterations (GAs). RESULTS 1,426 LCNEC samples were genomically profiled. The presence of RB1 and TP53 genomic alterations (GAs) were used to define a SCLC-like subtype (n = 557). A carcinoid-like group was defined by the presence of MEN1 mutation in the absence of TP53 GAs (n = 25). The remaining 844 samples were compared to the SCLC-like group and GAs enriched relative to the SCLC-like samples with a false discovery rate (FDR) < 0.0001 were used to define a NSCLC-like group. These NSCLC-like subtype-defining GAs included SMARCA4, KRAS, FGF3/4/19, STK11, CDKN2A/B, MTAP, and CCND1. Under this schema, 530 samples were classified as NSCLC-like and 314 remained unclassified. CONCLUSIONS Large-scale CGP can better characterize biologically distinct molecular subtypes in LCNEC. Further studies to define how these molecular subtypes may help inform treatment decisions in this complex and challenging malignancy are warranted.
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Affiliation(s)
- Laura Burns
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, and Boston Medical Center, One Boston Medical Center Pl, Boston, MA 02118, United States
| | - Hanna Tukachinsky
- Foundation Medicine, 150 Second St, Cambridge, MA 02141, United States
| | - Kira Raskina
- Foundation Medicine, 150 Second St, Cambridge, MA 02141, United States
| | - Richard S P Huang
- Foundation Medicine, 150 Second St, Cambridge, MA 02141, United States
| | - Alexa B Schrock
- Foundation Medicine, 150 Second St, Cambridge, MA 02141, United States
| | - Jacob Sands
- Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215, United States
| | - Matthew H Kulke
- Section of Hematology & Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, and Boston Medical Center, 830 Harrison Ave, Boston, MA 02118, United States
| | - Geoffrey R Oxnard
- Section of Hematology & Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, and Boston Medical Center, 830 Harrison Ave, Boston, MA 02118, United States
| | - Umit Tapan
- Section of Hematology & Medical Oncology, Boston University Chobanian & Avedisian School of Medicine, and Boston Medical Center, 830 Harrison Ave, Boston, MA 02118, United States.
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Sakakida T, Ishikawa T, Doi T, Morita R, Kataoka S, Miyake H, Yamaguchi K, Moriguchi M, Sogame Y, Yasuda H, Iwasaku M, Konishi H, Takayama K, Itoh Y. Genomic profile and clinical features of MSI-H and TMB-high pancreatic cancers: real-world data from C-CAT database. J Gastroenterol 2024; 59:145-156. [PMID: 38006445 DOI: 10.1007/s00535-023-02058-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 11/01/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Microsatellite instability high (MSI-H) and tumor mutational burden high (TMB-high) pancreatic cancer are rare, and information is lacking. Based on the C-CAT database, we analyzed the clinical and genomic characteristics of patients with these subtypes. METHODS We retrospectively reviewed data on 2206 patients with unresectable pancreatic adenocarcinoma enrolled in C-CAT between July 2019 and January 2022. The clinical features, proportion of genomic variants classified as oncogenic/pathogenic in C-CAT, overall response rate (ORR), disease control rate (DCR), and time to treatment failure (TTF) of chemotherapy as first-line treatment were evaluated. RESULTS Numbers of patients with MSI-H and TMB-high were 7 (0.3%) and 39 (1.8%), respectively. All MSI-H patients were TMB-high. MSI-H and TMB-high patients harbored more mismatch repair genes, such as MSH2, homologous recombination-related genes, such as ATR and BRCA2, and other genes including BRAF, KMT2D, and SMARCA4. None of the 6 MSI-H patients who received chemotherapy achieved a clinical response, including 4 patients treated with gemcitabine plus nab-paclitaxel (GnP) therapy, whose DCR was significantly lower than that of microsatellite stable (MSS) patients (0 vs. 67.0%, respectively, p = 0.01). Among the TMB-high and TMB-low groups, no significant differences were shown in ORR, DCR (17.1 vs. 23.1% and 57.1 vs. 63.1%, respectively), or median TTF (25.9 vs. 28.0 weeks, respectively) of overall first-line chemotherapy. CONCLUSIONS MSI-H and TMB-high pancreatic cancers showed some distinct genomic and clinical features from our real-world data. These results suggest the importance of adapting optimal treatment strategies according to the genomic alterations.
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Affiliation(s)
- Tomoki Sakakida
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
- Department of Cancer Genome Medical Center, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Takeshi Ishikawa
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan.
- Department of Cancer Genome Medical Center, Kyoto Prefectural University of Medicine, Kyoto, Japan.
- Outpatient Oncology Unit, Kyoto Prefectural University of Medicine, Kyoto, Japan.
| | - Toshifumi Doi
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
- Department of Cancer Genome Medical Center, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Ryuichi Morita
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
- Department of Cancer Genome Medical Center, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Seita Kataoka
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
| | - Hayato Miyake
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
| | - Kanji Yamaguchi
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
| | - Michihisa Moriguchi
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
| | - Yoshio Sogame
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
| | - Hiroaki Yasuda
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
| | - Masahiro Iwasaku
- Department of Cancer Genome Medical Center, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hideyuki Konishi
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
| | - Koichi Takayama
- Department of Cancer Genome Medical Center, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Outpatient Oncology Unit, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yoshito Itoh
- Department of Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, 465 Kajiicho, Hirokoji agaru, Kawaramachi Street, Kamigyoku, Kyoto, Kyoto, 602-8566, Japan
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Ali U, Vungarala S, Tiriveedhi V. Genomic Features of Homologous Recombination Deficiency in Breast Cancer: Impact on Testing and Immunotherapy. Genes (Basel) 2024; 15:162. [PMID: 38397152 PMCID: PMC10887603 DOI: 10.3390/genes15020162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 01/21/2024] [Accepted: 01/24/2024] [Indexed: 02/25/2024] Open
Abstract
Genomic instability is one of the well-established hallmarks of cancer. The homologous recombination repair (HRR) pathway plays a critical role in correcting the double-stranded breaks (DSB) due to DNA damage in human cells. Traditionally, the BRCA1/2 genes in the HRR pathway have been tested for their association with breast cancer. However, defects in the HRR pathway (HRD, also termed 'BRCAness'), which has up to 50 genes, have been shown to be involved in tumorigenesis and treatment susceptibility to poly-ADP ribose polymerase inhibitors (PARPis), platinum-based chemotherapy, and immune checkpoint inhibitors (ICIs). A reliable consensus on HRD scores is yet to be established. Emerging evidence suggests that only a subset of breast cancer patients benefit from ICI-based immunotherapy. Currently, albeit with limitations, the expression of programmed death-ligand 1 (PDL1) and tumor mutational burden (TMB) are utilized as biomarkers to predict the favorable outcomes of ICI therapy in breast cancer patients. Preclinical studies demonstrate an interplay between the HRR pathway and PDL1 expression. In this review, we outline the current understanding of the role of HRD in genomic instability leading to breast tumorigenesis and delineate outcomes from various clinical trials. Furthermore, we discuss potential strategies for combining HRD-targeted therapy with immunotherapy to achieve the best healthcare outcomes in breast cancer patients.
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Affiliation(s)
- Umer Ali
- Department of Biological Sciences, Tennessee State University, Nashville, TN 37209, USA;
| | - Sunitha Vungarala
- Meharry-Vanderbilt Alliance, Vanderbilt University Medical Center, Nashville, TN 37209, USA;
| | - Venkataswarup Tiriveedhi
- Department of Biological Sciences, Tennessee State University, Nashville, TN 37209, USA;
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37209, USA
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Zhang Y, Wang D, Zhao Z, Peng R, Han Y, Li J, Zhang R. Enhancing the quality of panel-based tumor mutation burden assessment: a comprehensive study of real-world and in-silico outcomes. NPJ Precis Oncol 2024; 8:18. [PMID: 38263314 PMCID: PMC10805867 DOI: 10.1038/s41698-024-00504-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 01/04/2024] [Indexed: 01/25/2024] Open
Abstract
Targeted panel-based tumor mutation burden (TMB) assays are widely employed to guide immunotherapy for patients with solid tumors. However, the accuracy and consistency of this method can be compromised due to the variability in technical details across different laboratories, particularly in terms of panel size, somatic mutation detection and TMB calculation rules. Currently, systematic evaluations of the impact of these technical factors on existing assays and best practice recommendations remain lacking. We assessed the performance of 50 participating panel-based TMB assays involving 38 unique methods using cell line samples. In silico experiments utilizing TCGA MC3 datasets were performed to further dissect the impact of technical factors. Here we show that the panel sizes beyond 1.04 Mb and 389 genes are necessary for the basic discrete accuracy, as determined by over 40,000 synthetic panels. The somatic mutation detection should maintain a reciprocal gap of recall and precision less than 0.179 for reliable psTMB calculation results. The inclusion of synonymous, nonsense and hotspot mutations could enhance the accuracy of panel-based TMB assay. A 5% variant allele frequency cut-off is suitable for TMB assays using tumor samples with at least 20% tumor purity. In conclusion, this multicenter study elucidates the major technical factors as sources of variability in panel-based TMB assays and proposed comprehensive recommendations for the enhancement of accuracy and consistency. These findings will assist clinical laboratories in optimizing the methodological details through bioinformatic experiments to enhance the reliability of panel-based methods.
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Affiliation(s)
- Yuanfeng Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
| | - Duo Wang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
| | - Zihong Zhao
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
- Peking University Fifth School of Clinical Medicine, Beijing, PR China
| | - Rongxue Peng
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
| | - Yanxi Han
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China.
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China.
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China.
| | - Rui Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China.
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China.
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China.
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Ritter A, Levyn H, Shah J. Recent advances in head and neck surgical oncology. J Surg Oncol 2024; 129:32-39. [PMID: 37990842 PMCID: PMC10842243 DOI: 10.1002/jso.27529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/23/2023]
Abstract
In recent years, the field of head and neck oncology has witnessed a remarkable transformation with unprecedented advances that have revolutionized the management of complex tumors in this region. As an intricate subspecialty within oncology, head and neck surgical procedures demand detailed knowledge of the complex anatomy meticulous precision in surgical technique, and expertise to preserve vital functions while ensuring optimal oncological outcomes. With the relentless pursuit of improved patient outcomes, the integration of innovative technologies has significantly enhanced the surgical armamentarium. Robotics, endoscopic platforms, and image-guided navigation have revolutionized the surgical approach, enabling precise tumor resection and sparing healthy tissues. Furthermore, the application of advanced imaging modalities and molecular biomarker profiling has opened new avenues for personalized treatment strategies. From targeted therapies and immunotherapies to adaptive radiation techniques, clinicians are now equipped with an array of tailored options, ushering in a new era of personalized care for patients with head and neck malignancies. This article delves into the unfolding narratives of clinical triumphs, exploring the transformative potential of emerging therapies and the collaborative efforts propelling head and neck surgical oncology toward a future of hope and healing.
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Xi Q, Kage H, Ogawa M, Matsunaga A, Nishijima A, Sone K, Kawana K, Oda K. Genomic Landscape of Endometrial, Ovarian, and Cervical Cancers in Japan from the Database in the Center for Cancer Genomics and Advanced Therapeutics. Cancers (Basel) 2023; 16:136. [PMID: 38201563 PMCID: PMC10778092 DOI: 10.3390/cancers16010136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/17/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024] Open
Abstract
This study aimed to comprehensively clarify the genomic landscape and its association with tumor mutational burden-high (TMB-H, ≥10 mut/Mb) and microsatellite instability-high (MSI-H) in endometrial, cervical, and ovarian cancers. We obtained genomic datasets of a comprehensive genomic profiling test, FoundationOne® CDx, with clinical information using the "Center for Cancer Genomics and Advanced Therapeutics" (C-CAT) database in Japan. Patients can undergo the tests only after standardized treatments under universal health insurance coverage. Endometrial cancers were characterized by a high frequency of TMB-H and MSI-H, especially in endometrioid carcinomas. The lower ratio of POLE exonuclease mutations and the higher ratio of TP53 mutations compared to previous reports suggested the prognostic effects of the molecular subtypes. Among the 839 cervical cancer samples, frequent mutations of KRAS, TP53, PIK3CA, STK11, CDKN2A, and ERBB2 were observed in adenocarcinomas, whereas the ratio of TMB-H was significantly higher in squamous cell carcinomas. Among the 1606 ovarian cancer samples, genomic profiling of serous, clear cell, endometrioid, and mucinous carcinomas was characterized. Pathogenic mutations in the POLE exonuclease domain were associated with high TMB, and the mutation ratio was low in both cervical and ovarian cancers. The C-CAT database is useful for determining the mutational landscape of each cancer type and histological subtype. As the dataset is exclusively collected from patients after the standardized treatments, the information on "druggable" alterations highlights the unmet needs for drug development in major gynecological cancers.
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Affiliation(s)
- Qian Xi
- Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan; (Q.X.)
| | - Hidenori Kage
- Department of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan
| | - Miho Ogawa
- Next-Generation Precision Medicine Development Laboratory, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan
| | - Asami Matsunaga
- Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan; (Q.X.)
- Department of Obstetrics and Gynecology, Graduate School of Medicine, Nihon University, Tokyo 173-8610, Japan
| | - Akira Nishijima
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan
| | - Kei Kawana
- Department of Obstetrics and Gynecology, Graduate School of Medicine, Nihon University, Tokyo 173-8610, Japan
| | - Katsutoshi Oda
- Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan; (Q.X.)
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Ahmed J, Das B, Shin S, Chen A. Challenges and Future Directions in the Management of Tumor Mutational Burden-High (TMB-H) Advanced Solid Malignancies. Cancers (Basel) 2023; 15:5841. [PMID: 38136385 PMCID: PMC10741991 DOI: 10.3390/cancers15245841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 11/28/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
A standardized assessment of Tumor Mutational Burden (TMB) poses challenges across diverse tumor histologies, treatment modalities, and testing platforms, requiring careful consideration to ensure consistency and reproducibility. Despite clinical trials demonstrating favorable responses to immune checkpoint inhibitors (ICIs), not all patients with elevated TMB exhibit benefits, and certain tumors with a normal TMB may respond to ICIs. Therefore, a comprehensive understanding of the intricate interplay between TMB and the tumor microenvironment, as well as genomic features, is crucial to refine its predictive value. Bioinformatics advancements hold potential to improve the precision and cost-effectiveness of TMB assessments, addressing existing challenges. Similarly, integrating TMB with other biomarkers and employing comprehensive, multiomics approaches could further enhance its predictive value. Ongoing collaborative endeavors in research, standardization, and clinical validation are pivotal in harnessing the full potential of TMB as a biomarker in the clinic settings.
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Affiliation(s)
- Jibran Ahmed
- Developmental Therapeutics Clinic (DTC), National Cancer Institute (NCI), National Institute of Health (NIH), Bethesda, MD 20892, USA
| | - Biswajit Das
- Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Sarah Shin
- Developmental Therapeutics Clinic (DTC), National Cancer Institute (NCI), National Institute of Health (NIH), Bethesda, MD 20892, USA
| | - Alice Chen
- Developmental Therapeutics Clinic (DTC), National Cancer Institute (NCI), National Institute of Health (NIH), Bethesda, MD 20892, USA
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Viscuse PV, Slack-Tidwell RS, Zhang M, Rohra P, Zhu K, San Lucas FA, Konnick E, Pilie PG, Siddiqui B, Logothetis CJ, Corn P, Subudhi SK, Pritchard CC, Soundararajan R, Aparicio A. Evaluation of the Aggressive-Variant Prostate Cancer Molecular Signature in Clinical Laboratory Improvement Amendments (CLIA) Environments. Cancers (Basel) 2023; 15:5843. [PMID: 38136389 PMCID: PMC10741546 DOI: 10.3390/cancers15245843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023] Open
Abstract
Aggressive-variant prostate cancers (AVPCs) are a subset of metastatic castrate-resistant prostate cancers (mCRPCs) characterized by defects in ≥ two of three of TP53, RB1, and PTEN (AVPCm), a profile linked to lineage plasticity, androgen indifference, and platinum sensitivity. Men with mCRPC undergoing biopsies for progression were assessed for AVPCm using immunohistochemistry (IHC), next-generation sequencing (NGS) of solid tumor DNA (stDNA), and NGS of circulating tumor DNA (ctDNA) assays in CLIA-certified labs. Biopsy characteristics, turnaround times, inter-reader concordance, and inter-assay concordance were assessed. AVPCm was detected in 13 (27%) patients via IHC, two (6%) based on stDNA, and seven (39%) based on ctDNA. The concordance of the IHC reads between pathologists was variable. IHC had a higher detection rate of AVPCm+ tumors with the shortest turnaround times. stDNA had challenges with copy number loss detection, limiting its detection rate. ctDNA detected the greatest proportion of AVPCm+ tumors but had a low tumor content in two thirds of patients. These data show the operational characteristics of AVPCm detection using various assays, and inform trial design using AVPCm as a criterion for patient selection or stratification.
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Affiliation(s)
- Paul V. Viscuse
- Department of Medicine, University of Virginia, Charlottesville, VA 22903, USA;
| | - Rebecca S. Slack-Tidwell
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Miao Zhang
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (K.Z.)
| | - Prih Rohra
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (K.Z.)
| | - Keyi Zhu
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (K.Z.)
| | - F. Anthony San Lucas
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Eric Konnick
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; (E.K.)
| | - Patrick G. Pilie
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Bilal Siddiqui
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christopher J. Logothetis
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Paul Corn
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sumit K. Subudhi
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Colin C. Pritchard
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; (E.K.)
| | - Rama Soundararajan
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Ana Aparicio
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Cerbone L, Orecchia S, Bertino P, Delfanti S, de Angelis AM, Grosso F. Clinical Next Generation Sequencing Application in Mesothelioma: Finding a Golden Needle in the Haystack. Cancers (Basel) 2023; 15:5716. [PMID: 38136262 PMCID: PMC10741845 DOI: 10.3390/cancers15245716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/25/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
Mesothelioma comprises a group of rare cancers arising from the mesothelium of the pleura, peritoneum, tunica vaginalis testis and pericardium. Mesothelioma is generally associated with asbestos exposure and has a dismal prognosis, with few therapeutic options. Several next generation sequencing (NGS) experiments have been performed on mesothelioma arising at different sites. These studies highlight a genomic landscape mainly characterized by a high prevalence (>20%) of genomic aberrations leading to functional losses in oncosuppressor genes such as BAP1, CDKN2A, NF2, SETD2 and TP53. Nevertheless, to date, evidence of the effect of targeting these alterations with specific drugs is lacking. Conversely, 1-2% of mesothelioma might harbor activating mutations in oncogenes with specifically approved drugs. The goal of this review is to summarize NGS applications in mesothelioma and to provide insights into target therapy of mesothelioma guided by NGS.
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Affiliation(s)
- Luigi Cerbone
- Mesothelioma Unit, SS Antonio e and Biagio Hospital, 15121 Alessandria, Italy; (L.C.); (P.B.); (S.D.); (A.M.d.A.)
| | - Sara Orecchia
- Molecular Pathology Unit, SS Antonio e and Biagio Hospital, 15121 Alessandria, Italy;
| | - Pietro Bertino
- Mesothelioma Unit, SS Antonio e and Biagio Hospital, 15121 Alessandria, Italy; (L.C.); (P.B.); (S.D.); (A.M.d.A.)
| | - Sara Delfanti
- Mesothelioma Unit, SS Antonio e and Biagio Hospital, 15121 Alessandria, Italy; (L.C.); (P.B.); (S.D.); (A.M.d.A.)
| | - Antonina Maria de Angelis
- Mesothelioma Unit, SS Antonio e and Biagio Hospital, 15121 Alessandria, Italy; (L.C.); (P.B.); (S.D.); (A.M.d.A.)
| | - Federica Grosso
- Mesothelioma Unit, SS Antonio e and Biagio Hospital, 15121 Alessandria, Italy; (L.C.); (P.B.); (S.D.); (A.M.d.A.)
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McGuinness CF, Black MA, Dunbier AK. Restriction site associated DNA sequencing for tumour mutation burden estimation and mutation signature analysis. Cancer Med 2023; 12:21545-21560. [PMID: 37974533 PMCID: PMC10726921 DOI: 10.1002/cam4.6711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 11/05/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Genome-wide measures of genetic disruption such as tumour mutation burden (TMB) and mutation signatures are emerging as useful biomarkers to stratify patients for treatment. Clinicians commonly use cancer gene panels for tumour mutation burden estimation, and whole genome sequencing is the gold standard for mutation signature analysis. However, the accuracy and cost associated with these assays limits their utility at scale. METHODS WGS data from 560 breast cancer patients was used for in silico library simulations to evaluate the accuracy of an FDA approved cancer gene panel as well as restriction enzyme associated DNA sequencing (RADseq) libraries for TMB estimation and mutation signature analysis. We also transfected a mouse mammary cell line with APOBEC enzymes and sequenced resulting clones to evaluate the efficacy of RADseq in an experimental setting. RESULTS RADseq had improved accuracy of TMB estimation and derivation of mutation profiles when compared to the FDA approved cancer panel. Using simulated immune checkpoint blockade (ICB) trials, we show that inaccurate TMB estimation leads to a reduction in power for deriving an optimal TMB cutoff to stratify patients for immune checkpoint blockade treatment. Additionally, prioritisation of APOBEC hypermutated tumours in these trials optimises TMB cutoff determination for breast cancer. The utility of RADseq in an experimental setting was also demonstrated, based on characterisation of an APOBEC mutation signature in an APOBEC3A transfected mouse cell line. CONCLUSION In conclusion, our work demonstrates that RADseq has the potential to be used as a cost-effective, accurate solution for TMB estimation and mutation signature analysis by both clinicians and basic researchers.
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Affiliation(s)
- Conor F. McGuinness
- Department of BiochemistryUniversity of OtagoDunedinNew Zealand
- Peter MacCallum Cancer CentreMelbourneVictoriaAustralia
- Sir Peter MacCallum Department of OncologyThe University of MelbourneMelbourneVictoriaAustralia
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Honjoh H, Taguchi A, Rokutan H, Mori A, Ando T, Nishijima A, Eguchi S, Miyamoto Y, Sone K, Uchino-Mori M, Osuga Y. Cancer of unknown primary histologically, genetically and spatially diagnosed as left ovary‑derived cancer: A case report. Oncol Lett 2023; 26:522. [PMID: 37927414 PMCID: PMC10623086 DOI: 10.3892/ol.2023.14109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 09/01/2023] [Indexed: 11/07/2023] Open
Abstract
Cancer of unknown primary (CUP) is a heterogeneous syndrome of metastatic cancer in which the primary site cannot be determined even after a standard and comprehensive search. The present report describes a case in which the spatial distribution of the lymph node metastases contributed to the identification of the primary site. While the standard workup did not identify the primary tumor, genomic profiling analysis was useful in therapeutic management. A 68-year-old woman presented with a cancerous pleural effusion (adenocarcinoma). The primary site could not be identified, and the pleural effusion resolved spontaneously. After 11 months, the patient had elevated Krebs von den Lungen-6 and cancer antigen 125 levels, and multiple enlarged lymph nodes. Pathological diagnosis based on a biopsy sample of the para-aortic lymph nodes indicated that the tumor was a high-grade serous carcinoma of possible gynecological organ origin. The patient underwent surgery, including hysterectomy, bisalpingo-oophorectomy and lymph node dissection. Although there were no primary sites in the gynecological organs, marked lymphovascular invasion was found around the left ovary, suggesting a left ovary-derived tumor. Genetic testing revealed a high loss of heterozygosity score and high tumor mutational burden (TMB). The patient received paclitaxel and carboplatin therapy followed by a poly ADP-ribose polymerase inhibitor as regimens for ovarian cancer and achieved complete remission. The unique course of the disappearance of the effusion and the absence of tumor in the adnexa might be associated with the high immunogenicity of the tumor characterized by the high TMB. This case may provide insights into the pathogenesis of CUP.
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Affiliation(s)
- Harunori Honjoh
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Hirofumi Rokutan
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Ayako Mori
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Takahiro Ando
- Department of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Akira Nishijima
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Satoko Eguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Yuichiro Miyamoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Mayuyo Uchino-Mori
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113 8655, Japan
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Pankiw M, Brezden-Masley C, Charames GS. Comprehensive genomic profiling for oncological advancements by precision medicine. Med Oncol 2023; 41:1. [PMID: 37993657 DOI: 10.1007/s12032-023-02228-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/25/2023] [Indexed: 11/24/2023]
Abstract
Considerable advancements in next generation sequencing (NGS) techniques have sparked the use of comprehensive genomic profiling (CGP) as a guiding tool for precision-centered oncological treatments. The past two decades have seen the completion of the human genome project, and the consequential invention of NGS. High-throughput sequencing technologies support the discovery and commonplace use of individualized cancer treatments, specifically immune-centered checkpoint inhibitor therapies, and oncogene and tumor suppressor gene targeted therapies. Nevertheless, CGP is not commonly used in all clinical settings. This review investigates the clinically relevant applications of CGP. Studies published between the years 2000-2023 have shown substantial evidence of the benefits of integrating CGP into routine care practice, while also making important comparisons to current-standard oncological treatment strategies. Findings of a comprehensive genomic profile includes predictive, prognostic, and diagnostic biomarkers, together with somatic mutation identification which can indicate the efficacy of immunotherapies and molecularly guided therapies. This review highlights the importance of CGP in identifying driver mutations in tumors that subsequently can be effectively targeted with molecular therapeutics and lead to drug discovery, allowing for increased precision in treating tumors selectively based on their specific genetic mutations, thereby improving patient outcomes.
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Affiliation(s)
- Maya Pankiw
- Department of Medicine, Mount Sinai Hospital, Toronto, ON, Canada
- Department of Pathology and Lab Medicine, Mount Sinai Hospital, Toronto, ON, Canada
| | - Christine Brezden-Masley
- Department of Medicine, Mount Sinai Hospital, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - George S Charames
- Department of Pathology and Lab Medicine, Mount Sinai Hospital, Toronto, ON, Canada.
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
- Department of Lab Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
- Mount Sinai Services, Toronto, ON, Canada.
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Jiagge E, Jin DX, Newberg JY, Perea-Chamblee T, Pekala KR, Fong C, Waters M, Ma D, Dei-Adomakoh Y, Erb G, Arora KS, Maund SL, Njiraini N, Ntekim A, Kim S, Bai X, Thomas M, van Eeden R, Hegde P, Jee J, Chakravarty D, Schultz N, Berger MF, Frampton GM, Sokol ES, Carrot-Zhang J. Tumor sequencing of African ancestry reveals differences in clinically relevant alterations across common cancers. Cancer Cell 2023; 41:1963-1971.e3. [PMID: 37890492 PMCID: PMC11097212 DOI: 10.1016/j.ccell.2023.10.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 08/02/2023] [Accepted: 10/04/2023] [Indexed: 10/29/2023]
Abstract
Cancer genomes from patients with African (AFR) ancestry have been poorly studied in clinical research. We leverage two large genomic cohorts to investigate the relationship between genomic alterations and AFR ancestry in six common cancers. Cross-cancer type associations, such as an enrichment of MYC amplification with AFR ancestry in lung, breast, and prostate cancers, and depletion of BRAF alterations are observed in colorectal and pancreatic cancers. There are differences in actionable alterations, such as depletion of KRAS G12C and EGFR L858R, and enrichment of ROS1 fusion with AFR ancestry in lung cancers. Interestingly, in lung cancer, KRAS mutations are less common in both smokers and non-smokers with AFR ancestry, whereas the association of TP53 mutations with AFR ancestry is only seen in smokers, suggesting an ancestry-environment interaction that modifies driver rates. Our study highlights the need to increase representation of patients with AFR ancestry in drug development and biomarker discovery.
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Affiliation(s)
- Evelyn Jiagge
- Hematology/Oncology Division, Department of Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Dexter X. Jin
- Cancer Genomics Research, Foundation Medicine, Inc., Cambridge, MA, USA
| | - Justin Y. Newberg
- Cancer Genomics Research, Foundation Medicine, Inc., Cambridge, MA, USA
| | - Tomin Perea-Chamblee
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kelly R. Pekala
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher Fong
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michele Waters
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David Ma
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Gilles Erb
- Global Product Development Medical Affairs – Oncology, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Kanika S. Arora
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer, New York, NY, USA
| | - Sophia L. Maund
- Computational Sciences, Genentech, Inc., South San Francisco, CA, USA
| | - Njoki Njiraini
- Department of Oncology, Kenyatta University Teaching Research and Referral Hospital, Nairobi, Kenya
| | - Atara Ntekim
- Department of Radiation Oncology, University of Ibadan, Ibadan, Nigeria
| | - Susie Kim
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xuechun Bai
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marlene Thomas
- Global Product Development Medical Affairs – Oncology, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Ronwyn van Eeden
- Department of Medical Oncology, Chris Hani Academic Baragwanath Hospital, Johannesburg, South Africa
| | - Priti Hegde
- Cancer Genomics Research, Foundation Medicine, Inc., Cambridge, MA, USA
| | - Justin Jee
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Debyani Chakravarty
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nikolaus Schultz
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F. Berger
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Ethan S. Sokol
- Cancer Genomics Research, Foundation Medicine, Inc., Cambridge, MA, USA
| | - Jian Carrot-Zhang
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Clinial Genetics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Wang D, Wang S, Zhang Y, Cheng X, Huang X, Han Y, Chen Z, Liu C, Li J, Zhang R. Validation and benchmarking of targeted panel sequencing for cancer genomic profiling. Am J Clin Pathol 2023; 160:507-523. [PMID: 37477357 DOI: 10.1093/ajcp/aqad078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/22/2023] [Indexed: 07/22/2023] Open
Abstract
OBJECTIVES To validate a large next-generation sequencing (NGS) panel for comprehensive genomic profiling and improve patient access to more effective precision oncology treatment strategies. METHODS OncoPanScan was designed by targeting 825 cancer-related genes to detect a broad range of genomic alterations. A practical validation strategy was used to evaluate the assay's analytical performance, involving 97 tumor specimens with 25 paired blood specimens, 10 engineered cell lines, and 121 artificial reference DNA samples. RESULTS Overall, 1107 libraries were prepared and the sequencing failure rate was 0.18%. Across alteration classes, sensitivity ranged from 0.938 to more than 0.999, specificity ranged from 0.889 to more than 0.999, positive predictive value ranged from 0.867 to more than 0.999, repeatability ranged from 0.908 to more than 0.999, and reproducibility ranged from 0.832 to more than 0.999. The limit of detection for variants was established based on variant frequency, while for tumor mutation burden and microsatellite instability, it was based on tumor content, resulting in a minimum requirement of 20% tumor content. Benchmarking variant calls against validated NGS assays revealed that variations in the dry-bench processes were the primary cause of discordances. CONCLUSIONS This study presents a detailed validation framework and empirical recommendations for large panel validation and elucidates the sources of discordant alteration calls by comparing with "gold standard measures."
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Affiliation(s)
- Duo Wang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | | | - Yuanfeng Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | | | - Xin Huang
- Genetron Health (Beijing), Beijing, China
| | - Yanxi Han
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | | | - Cong Liu
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Rui Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
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Leman R, Muller E, Legros A, Goardon N, Chentli I, Atkinson A, Tranchant A, Castera L, Krieger S, Ricou A, Boulouard F, Joly F, Boucly R, Dumont A, Basset N, Coulet F, Chevalier LM, Rouleau E, Leitner K, González-Martin A, Gargiulo P, Lück HJ, Genestie C, Ray-Coquard I, Pujade-Lauraine E, Vaur D. Validation of the Clinical Use of GIScar, an Academic-developed Genomic Instability Score Predicting Sensitivity to Maintenance Olaparib for Ovarian Cancer. Clin Cancer Res 2023; 29:4419-4429. [PMID: 37756555 PMCID: PMC10618649 DOI: 10.1158/1078-0432.ccr-23-0898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 06/12/2023] [Accepted: 08/15/2023] [Indexed: 09/29/2023]
Abstract
PURPOSE The optimal application of maintenance PARP inhibitor therapy for ovarian cancer requires accessible, robust, and rapid testing of homologous recombination deficiency (HRD). However, in many countries, access to HRD testing is problematic and the failure rate is high. We developed an academic HRD test to support treatment decision-making. EXPERIMENTAL DESIGN Genomic Instability Scar (GIScar) was developed through targeted sequencing of a 127-gene panel to determine HRD status. GIScar was trained from a noninterventional study with 250 prospectively collected ovarian tumor samples. GIScar was validated on 469 DNA tumor samples from the PAOLA-1 trial evaluating maintenance olaparib for newly diagnosed ovarian cancer, and its predictive value was compared with Myriad Genetics MyChoice (MGMC). RESULTS GIScar showed significant correlation with MGMC HRD classification (kappa statistics: 0.780). From PAOLA-1 samples, more HRD-positive tumors were identified by GIScar (258) than MGMC (242), with a lower proportion of inconclusive results (1% vs. 9%, respectively). The HRs for progression-free survival (PFS) with olaparib versus placebo were 0.45 [95% confidence interval (CI), 0.33-0.62] in GIScar-identified HRD-positive BRCA-mutated tumors, 0.50 (95% CI, 0.31-0.80) in HRD-positive BRCA-wild-type tumors, and 1.02 (95% CI, 0.74-1.40) in HRD-negative tumors. Tumors identified as HRD positive by GIScar but HRD negative by MGMC had better PFS with olaparib (HR, 0.23; 95% CI, 0.07-0.72). CONCLUSIONS GIScar is a valuable diagnostic tool, reliably detecting HRD and predicting sensitivity to olaparib for ovarian cancer. GIScar showed high analytic concordance with MGMC test and fewer inconclusive results. GIScar is easily implemented into diagnostic laboratories with a rapid turnaround.
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Affiliation(s)
- Raphaël Leman
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
- Inserm U1245, Cancer Brain and Genome, Normandie Université, UNICAEN, FHU G4 Génomique, Rouen, France
| | - Etienne Muller
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
- Inserm U1245, Cancer Brain and Genome, Normandie Université, UNICAEN, FHU G4 Génomique, Rouen, France
| | - Angelina Legros
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
| | - Nicolas Goardon
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
- Inserm U1245, Cancer Brain and Genome, Normandie Université, UNICAEN, FHU G4 Génomique, Rouen, France
| | - Imène Chentli
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
| | - Alexandre Atkinson
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
- Inserm U1245, Cancer Brain and Genome, Normandie Université, UNICAEN, FHU G4 Génomique, Rouen, France
| | - Aurore Tranchant
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
| | - Laurent Castera
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
- Inserm U1245, Cancer Brain and Genome, Normandie Université, UNICAEN, FHU G4 Génomique, Rouen, France
| | - Sophie Krieger
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
- Inserm U1245, Cancer Brain and Genome, Normandie Université, UNICAEN, FHU G4 Génomique, Rouen, France
| | - Agathe Ricou
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
- Inserm U1245, Cancer Brain and Genome, Normandie Université, UNICAEN, FHU G4 Génomique, Rouen, France
| | - Flavie Boulouard
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
- Inserm U1245, Cancer Brain and Genome, Normandie Université, UNICAEN, FHU G4 Génomique, Rouen, France
| | - Florence Joly
- Clinical Research, Centre François Baclesse, Caen, France
| | - Romain Boucly
- Unité d'Oncologie Moléculaire Humaine, Centre Oscar Lambret, Lille, France
| | - Aurélie Dumont
- Unité d'Oncologie Moléculaire Humaine, Centre Oscar Lambret, Lille, France
| | - Noémie Basset
- Département de Génétique Médicale, UF d'Onco-Angiogénétique et Génomique des Tumeurs Solides, Hôpital Pitié Salpêtrière APHP, Paris, France
- Sorbonne Université, Paris, France
| | - Florence Coulet
- Département de Génétique Médicale, UF d'Onco-Angiogénétique et Génomique des Tumeurs Solides, Hôpital Pitié Salpêtrière APHP, Paris, France
- Sorbonne Université, Paris, France
| | - Louise-Marie Chevalier
- Unité de Génomique Fonctionnelle, Institut de Cancérologie de l'Ouest, Angers, France
- Université Angers, Nantes Université, Inserm, CNRS, CRCI2NA, SFR ICAT, Angers, France
| | - Etienne Rouleau
- Service de Génétique des Tumeurs, Gustave Roussy, Villejuif, France
| | - Katharina Leitner
- Department of Obstetrics and Gynecology, Medical University Innsbruck, Innsbruck, Austria
- AGO Austria, Vienna, Austria
| | - Antonio González-Martin
- Department of Medical Oncology and Program in Solid Tumors-Cima, Cancer Center Clinica Universidad de Navarra, Madrid, Spain
- GEICO, Cádiz, Spain
| | - Piera Gargiulo
- Clinical Trials Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Naples, Italy
- MITO, Italy
| | - Hans-Joachim Lück
- Gynäkologisch-Onkologische Praxis Hannover, Hannover, Germany
- AGO, Wiesbaden, Germany
| | | | - Isabelle Ray-Coquard
- Association de Recherche Cancers Gynécologiques (ARCAGY), Paris, France
- Groupe d'Investigateurs Nationaux pour l'Etude des Cancers Ovariens et du sein (GINECO), France
| | - Eric Pujade-Lauraine
- Groupe d'Investigateurs Nationaux pour l'Etude des Cancers Ovariens et du sein (GINECO), France
| | - Dominique Vaur
- Laboratoire de Biologie et de Génétique du Cancer, Centre François Baclesse, Caen, France
- Inserm U1245, Cancer Brain and Genome, Normandie Université, UNICAEN, FHU G4 Génomique, Rouen, France
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Leatham B, McNall K, Subramanian HKK, Jacky L, Alvarado J, Yurk D, Wang M, Green DC, Tsongalis GJ, Rajagopal A, Schwartz JJ. A rapid, multiplex digital PCR assay to detect gene variants and fusions in non-small cell lung cancer. Mol Oncol 2023; 17:2221-2234. [PMID: 37714814 PMCID: PMC10620117 DOI: 10.1002/1878-0261.13523] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/22/2023] [Accepted: 09/15/2023] [Indexed: 09/17/2023] Open
Abstract
Digital PCR (dPCR) is emerging as an ideal platform for the detection and tracking of genomic variants in cancer due to its high sensitivity and simple workflow. The growing number of clinically actionable cancer biomarkers creates a need for fast, accessible methods that allow for dense information content and high accuracy. Here, we describe a proof-of-concept amplitude modulation-based multiplex dPCR assay capable of detecting 12 single-nucleotide and insertion/deletion (indel) variants in EGFR, KRAS, BRAF, and ERBB2, 14 gene fusions in ALK, RET, ROS1, and NTRK1, and MET exon 14 skipping present in non-small cell lung cancer (NSCLC). We also demonstrate the use of multi-spectral target-signal encoding to improve the specificity of variant detection by reducing background noise by up to an order of magnitude. The assay reported an overall 100% positive percent agreement (PPA) and 98.5% negative percent agreement (NPA) compared with a sequencing-based assay in a cohort of 62 human formalin-fixed paraffin-embedded (FFPE) samples. In addition, the dPCR assay rescued actionable information in 10 samples that failed to sequence, highlighting the utility of a multiplexed dPCR assay as a potential reflex solution for challenging NSCLC samples.
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Affiliation(s)
| | | | | | | | | | - Dominic Yurk
- ChromaCode IncCarlsbadCAUSA
- Department of Electrical EngineeringCalifornia Institute of TechnologyPasadenaCAUSA
| | - Mimi Wang
- ChromaCode IncCarlsbadCAUSA
- Slack TechnologiesSan FranciscoCAUSA
| | - Donald C. Green
- Department of Pathology and Laboratory MedicineDartmouth Hitchcock Medical CenterLebanonNHUSA
| | - Gregory J. Tsongalis
- Department of Pathology and Laboratory MedicineDartmouth Hitchcock Medical CenterLebanonNHUSA
| | - Aditya Rajagopal
- ChromaCode IncCarlsbadCAUSA
- Department of Electrical EngineeringCalifornia Institute of TechnologyPasadenaCAUSA
- Department of Biomedical EngineeringUniversity of Southern CaliforniaLos AngelesCAUSA
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Porta C, Pradelli L, Sicari E, Castellani S, Sivakumar S, Sokol E, Montesion M, Wieland T, Rambichler J, Minari R, Tiseo M. Liquid biopsy comprehensive genomic profiling of lung cancer in the Italian population: A real-world experience. Lung Cancer 2023; 185:107359. [PMID: 37703610 DOI: 10.1016/j.lungcan.2023.107359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/23/2023] [Accepted: 09/01/2023] [Indexed: 09/15/2023]
Abstract
OBJECTIVES Liquid biopsy with next-generation sequencing (NGS) has emerged as a promising tool for tumor mutation profiling. In this study, we describe the genomic profile of Italian lung cancer patients tested with blood-based comprehensive genomic profiling (CGP) to assess the genomic landscape complexity and its impact on enhancing treatment options for patients. MATERIALS AND METHODS Between January 2021 and December 2021, a total of 229 lung cancer patients were profiled by FoundationOne®Liquid CDx (F1LCDx®) assay on circulating tumor DNA (ctDNA). F1LCDx® reports alterations across 324 cancer-related genes and genomic signatures, including tumor fraction (TF) and blood-based tumor mutational burden (bTMB). Detected variants were classified according to the ESMO Scale of Clinical Actionability for molecular Targets (ESCAT). RESULTS 90.4% of patients had at least one detectable alteration in plasma. The most frequently mutated genes were TP53 (47.6%), DNMT3A (33.2%), EGFR (20.1%), and KRAS (15.7%). Elevated TF was detected in 18.3% of patients, suggesting high reliability of test results. According to the ESCAT classification, potentially actionable alterations (Tier I-II) were identified in 27.1% of samples. An additional 5.2% harbored an alteration for which an approved drug is available in other cancer types (Tier III). Furthermore, 13.1% of tumors exhibited high bTMB, which may predict response to immunotherapy. Overall, 156 (68.1%) patients were eligible for enrolment in clinical trials. CONCLUSION Liquid biopsy NGS is a viable and valuable approach to guide personalized therapy. The use of blood-based CGP may help identify a larger number of actionable mutations and increase chances of enrolment in clinical trials.
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Affiliation(s)
| | | | | | | | | | - Ethan Sokol
- Foundation Medicine, Inc., Cambridge, MA, USA
| | | | | | | | - Roberta Minari
- Medical Oncology Unit, University Hospital of Parma, Parma, Italy
| | - Marcello Tiseo
- Medical Oncology Unit, University Hospital of Parma, Parma, Italy; Department of Medicine and Surgery, University of Parma, Parma, Italy
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Chehrazi-Raffle A, Tukachinsky H, Toye E, Sivakumar S, Schrock AB, Bergom HE, Ebrahimi H, Pal S, Dorff T, Agarwal N, Mahal BA, Oxnard GR, Hwang J, Antonarakis ES. Unique Spectrum of Activating BRAF Alterations in Prostate Cancer. Clin Cancer Res 2023; 29:3948-3957. [PMID: 37477913 PMCID: PMC10543965 DOI: 10.1158/1078-0432.ccr-23-1393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/17/2023] [Accepted: 07/20/2023] [Indexed: 07/22/2023]
Abstract
PURPOSE Alterations in BRAF have been reported in 3% to 5% of prostate cancer, although further characterization is lacking. Here, we describe the nature of BRAF alterations in prostate cancer using a large cohort from commercially available tissue and liquid biopsies subjected to comprehensive genomic profiling (CGP). EXPERIMENTAL DESIGN Tissue and liquid biopsies from patients with prostate cancer were profiled using FoundationOne CDx and FoundationOne Liquid CDx CGP assays, respectively. Tissue biopsies from non-prostate cancer types were used for comparison (n = 275,151). Genetic ancestry was predicted using a single-nucleotide polymorphism (SNP) based approach. RESULTS Among 15,864 tissue biopsies, BRAF-activating alterations were detected in 520 cases (3.3%). The majority (463 samples, 2.9%) harbored class II alterations, including BRAF rearrangements (243 samples, 1.5%), K601E (101 samples, 0.6%), and G469A (58 samples, 0.4%). BRAF-altered prostate cancers were enriched for CDK12 mutations (OR, 1.87; 9.2% vs. 5.2%; P = 0.018), but depleted in TMPRSS2 fusions (OR, 0.25; 11% vs. 32%; P < 0.0001), PTEN alterations (OR, 0.47; 17% vs. 31%; P < 0.0001), and APC alterations (OR, 0.48; 4.4% vs. 8.9%; P = 0.018) relative to BRAF wild-type (WT) disease. Compared with patients of European ancestry, BRAF alterations were more common in tumors from patients of African ancestry (5.1% vs. 2.9%, P < 0.0001) and Asian ancestry (6.0% vs. 2.9%, P < 0.001). CONCLUSIONS Activating BRAF alterations were detected in approximately 3% of prostate cancers, and most were class II mutations and rearrangements; BRAF V600 mutations were exceedingly rare. These findings suggest that BRAF activation in prostate cancer is unique from other cancers and supports further clinical investigation of therapeutics targeting the mitogen-activated protein kinase (MAPK) pathway.
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Affiliation(s)
| | | | - Eamon Toye
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | | | | | - Hannah E. Bergom
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Hedyeh Ebrahimi
- City of Hope Comprehensive Cancer Center, Duarte, California
| | - Sumanta Pal
- City of Hope Comprehensive Cancer Center, Duarte, California
| | - Tanya Dorff
- City of Hope Comprehensive Cancer Center, Duarte, California
| | - Neeraj Agarwal
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Brandon A. Mahal
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | | | - Justin Hwang
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
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Kurokawa K, Shukuya T, Greenstein RA, Kaplan BG, Wakelee H, Ross JS, Miura K, Furuta K, Kato S, Suh J, Sivakumar S, Sokol ES, Carbone DP, Takahashi K. Genomic characterization of thymic epithelial tumors in a real-world dataset. ESMO Open 2023; 8:101627. [PMID: 37703595 PMCID: PMC10594028 DOI: 10.1016/j.esmoop.2023.101627] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/25/2023] [Accepted: 08/02/2023] [Indexed: 09/15/2023] Open
Abstract
BACKGROUND Thymic epithelial tumors (TETs) are rare neoplasms arising in the mediastinum, including thymic carcinomas and thymomas. Due to their rarity, little is known about the genomic profiles of TETs. Herein, we investigated the genomic characteristics of TETs evaluated in a large comprehensive genomic profiling database in a real-world setting. METHODS We included data from two different cohorts: Foundation Medicine Inc. (FMI) in the United States and the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) in Japan. Samples profiled were examined for all classes of alterations in 253 genes targeted across all assays. Tumor mutational burden (TMB) and microsatellite instability (MSI) were also evaluated. RESULTS A total of 794 patients were collected in our study, including 722 cases from FMI and 72 cases from C-CAT. In the FMI data, CDKN2A (39.9%), TP53 (30.2%) and CDKN2B (24.6%) were frequently altered in thymic carcinoma, versus TP53 (7.8%), DNMT3A (6.8%), and CDKN2A (5.8%) in thymoma. TMB-high (≥10 mutations/Mb) and MSI were present in 7.0% and 2.3% of thymic carcinomas, and 1.6% and 0.3% of thymomas, respectively. Within C-CAT data, CDKN2A (38.5%), TP53 (36.5%) and CDKN2B (30.8%) were also frequently altered in thymic carcinoma, while alterations of TSC1, SETD2 and LTK (20.0% each) were found in thymoma. CONCLUSIONS To the best of our knowledge, this is the largest cohort in which genomic alterations, TMB and MSI status of TETs were investigated. Potential targets for treatment previously unbeknownst in TETs are identified in this study, entailing newfound opportunities to advance therapeutic development.
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Affiliation(s)
- K Kurokawa
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - T Shukuya
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan.
| | | | - B G Kaplan
- Foundation Medicine, Inc., Cambridge, USA
| | - H Wakelee
- Department of Medicine, Division of Oncology, Stanford University, Stanford, USA
| | - J S Ross
- Foundation Medicine, Inc., Cambridge, USA; Departments of Pathology and Urology, Upstate Medical University, Syracuse, USA
| | - K Miura
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - K Furuta
- Chugai Pharmaceutical Co., Ltd., Tokyo, Japan
| | - S Kato
- Department of Medical Oncology, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - J Suh
- Genentech, South San Francisco, USA
| | | | - E S Sokol
- Foundation Medicine, Inc., Cambridge, USA
| | - D P Carbone
- Comprehensive Cancer Center, Division of Medical Oncology, The Ohio State University, Columbus, USA
| | - K Takahashi
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
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50
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Leroy K, Audigier Valette C, Alexandre J, Boussemart L, Chiesa J, Deldycke C, Gomez-Rocca C, Hollebecque A, Lehmann-Che J, Lemoine A, Mansard S, Medioni J, Monnet I, Mourah S, Pierret T, Spaëth D, Civet A, Galoin S, Italiano A. Retrospective analysis of real-world data to evaluate actionability of a comprehensive molecular profiling panel in solid tumor tissue samples (REALM study). PLoS One 2023; 18:e0291495. [PMID: 37708140 PMCID: PMC10501576 DOI: 10.1371/journal.pone.0291495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 08/23/2023] [Indexed: 09/16/2023] Open
Abstract
INTRODUCTION Considering the growing interest in matched cancer treatment, our aim was to evaluate the ability of a comprehensive genomic profiling (CGP) assay to propose at least one targeted therapy given an identified genomic alteration or signature (actionability), and to collect the treatment modifications based on the CGP test results in clinical practise for solid tumors. METHODS This retrospective, multicentre French study was conducted among 25 centres that participated in a free of charge program between 2017 and 2019 for a tissue CGP test. Data were collected on the patient, disease, tumor genomic profile, treatment suggested in the report (related to the genomic profile results) and subsequent therapeutic decisions according to the physician's declaration. RESULTS Among the 416 patients, most had lung cancer (35.6%), followed by biliary tract cancer (11.5%) or rare cancers (11.1%); 75% had a metastatic disease. The actionability was 75.0% (95% CI [70.6%-78.9%]) for all patients, 85.1% and 78.4%, respectively in lung cancer and metastatic patients. After exclusion of clinical trial suggestions, the actionability decreased to 62.3% (95% CI [57.5%-66.8%]). Treatment modification based on the test results was observed in 17.3% of the patients and was more frequent in metastatic disease (OR = 2.73, 95% CI [1.31-5.71], p = 0.007). The main reasons for no treatment modification were poor general condition (33.2%) and stable disease or remission (30.2%). The genomic-directed treatment changes were performed mostly during the first six months after the CGP test, and interestingly a substantial part was observed from six to 24 months after the genomic profiling. CONCLUSION This French study provides information on the real-life actionability of a CGP test based on tissue samples, and trends to confirm its utility in clinical practice across the course of the disease, in particularly for patients with lung cancer and/or advanced disease.
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Affiliation(s)
- Karen Leroy
- Université Paris Cité, Sorbonne Université, Inserm, Centre de Recherche des Cordeliers, Paris, France
- Département de Médecine Génomique des Tumeurs et Cancers, Service de Biochimie, AP-HP, Hôpital Européen Georges Pompidou, Paris, France
| | | | - Jérôme Alexandre
- Université Paris Cité, Sorbonne Université, Inserm, Centre de Recherche des Cordeliers, Paris, France
- Service d’Oncologie, AP-HP, Hôpital Cochin, Paris, France
| | - Lise Boussemart
- Service de Dermatologie, CHU de Nantes—Hôtel Dieu, Nantes, France
| | - Jean Chiesa
- UF de Cytogénétique et Génétique Médicale, Hôpital Universitaire Carémeau, Nîmes, France
| | | | | | | | - Jacqueline Lehmann-Che
- Université Paris Cité, INSERM U976, Immunologie Humaine, Pathophysiologie, Immunothérapie (HIPI), Paris, France
- UF Oncologie Moléculaire, Hôpital Saint-Louis, AP-HP, Paris, France
| | - Antoinette Lemoine
- Biochimie et Oncogénétique–Inserm UMRS 1193, Hôpital Paul Brousse, AP-HP, Paris, France
| | | | - Jacques Medioni
- Centre d’Essais Précoces en Cancérologie, Hôpital Européen Georges Pompidou, Paris, France
| | - Isabelle Monnet
- Service de Pneumologie, Hôpital Intercommunal de Créteil, Créteil, France
| | - Samia Mourah
- Université Paris Cité, INSERM U976, Immunologie Humaine, Pathophysiologie, Immunothérapie (HIPI), Paris, France
- Service de Génomique des Tumeurs et Pharmacologie, Hôpital Saint-Louis, AP-HP, Paris, France
| | | | - Dominique Spaëth
- Centre d’Oncologie de Gentilly, Institut Interrégional de Cancérologie, Nancy, France
| | - Alexandre Civet
- Centre de Données Médicales, Roche S.A.S, Boulogne-Billancourt, France
| | - Sandrine Galoin
- Affaires Médicales, Roche S.A.S, Boulogne-Billancourt, France
| | - Antoine Italiano
- Unité d’études de Phases Précoces, Institut Bergonié, Bordeaux, France
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