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Nesline MK, Subbiah V, Previs RA, Strickland KC, Ko H, DePietro P, Biorn MD, Cooper M, Wu N, Conroy J, Pabla S, Zhang S, Wallen ZD, Sathyan P, Saini K, Eisenberg M, Caveney B, Severson EA, Ramkissoon S. The Impact of Prior Single-Gene Testing on Comprehensive Genomic Profiling Results for Patients with Non-Small Cell Lung Cancer. Oncol Ther 2024; 12:329-343. [PMID: 38502426 PMCID: PMC11187032 DOI: 10.1007/s40487-024-00270-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: 12/29/2023] [Accepted: 02/29/2024] [Indexed: 03/21/2024] Open
Abstract
INTRODUCTION Tissue-based broad molecular profiling of guideline-recommended biomarkers is advised for the therapeutic management of patients with non-small cell lung cancer (NSCLC). However, practice variation can affect whether all indicated biomarkers are tested. We aimed to evaluate the impact of common single-gene testing (SGT) on subsequent comprehensive genomic profiling (CGP) test outcomes and results in NSCLC. METHODS Oncologists who ordered SGT for guideline-recommended biomarkers in NSCLC patients were prospectively contacted (May-December 2022) and offered CGP (DNA and RNA sequencing), either following receipt of negative SGT findings, or instead of SGT for each patient. We describe SGT patterns and compare CGP completion rates, turnaround time, and recommended biomarker detection for NSCLC patients with and without prior negative SGT results. RESULTS Oncologists in > 80 community practices ordered CGP for 561 NSCLC patients; 135 patients (27%) first had negative results from 30 different SGT combinations; 84% included ALK, EGFR and PD-L1, while only 3% of orders included all available SGTs for guideline-recommended genes. Among patients with negative SGT results, CGP was attempted using the same tissue specimen 90% of the time. There were also significantly more CGP order cancellations due to tissue insufficiency (17% vs. 7%), DNA sequencing failures (13% vs. 8%), and turnaround time > 14 days (62% vs. 29%) than among patients who only had CGP. Forty-six percent of patients with negative prior SGT had positive CGP results for recommended biomarkers, including targetable genomic variants in genes beyond ALK and EGFR, such as ERBB2, KRAS (non-G12C), MET (exon 14 skipping), NTRK2/3, and RET . CONCLUSION For patients with NSCLC, initial use of SGT increases subsequent CGP test cancellations, turnaround time, and the likelihood of incomplete molecular profiling for guideline-recommended biomarkers due to tissue insufficiency.
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Affiliation(s)
- Mary K Nesline
- Labcorp Oncology, 700 Ellicott Street, Buffalo, NY, 14203, USA.
| | - Vivek Subbiah
- Sarah Cannon Research Institute, Early-Phase Drug Development, Nashville, TN, 37203, USA
| | - Rebecca A Previs
- Labcorp Oncology, Durham, NC, 27560, USA
- Duke Cancer Institute, Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Kyle C Strickland
- Labcorp Oncology, Durham, NC, 27560, USA
- Duke Cancer Institute, Department of Pathology, Duke University Medical Center, Durham, NC, 27710, USA
- Department of Gynecologic Oncology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Heidi Ko
- Labcorp Oncology, Durham, NC, 27560, USA
| | - Paul DePietro
- Labcorp Oncology, 700 Ellicott Street, Buffalo, NY, 14203, USA
| | | | | | - Nini Wu
- Cardinal Health, Dublin, OH, 43017, USA
| | - Jeffrey Conroy
- Labcorp Oncology, 700 Ellicott Street, Buffalo, NY, 14203, USA
| | - Sarabjot Pabla
- Labcorp Oncology, 700 Ellicott Street, Buffalo, NY, 14203, USA
| | - Shengle Zhang
- Labcorp Oncology, 700 Ellicott Street, Buffalo, NY, 14203, USA
| | | | | | | | | | | | | | - Shakti Ramkissoon
- Labcorp Oncology, Durham, NC, 27560, USA
- Department of Pathology, Wake Forest Comprehensive Cancer Center, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
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Vidal GA, Jain N, Fisher A, Sheinson D, Lofgren KT, Ma E, Yu E, Comment L, Miksad R, Sincan M, Martin RL, Zuniga R, Daniel D. Racial and Ethnic Inequities at the Practice and Physician Levels in Timely Next-Generation Sequencing for Patients With Advanced Non-Small-Cell Lung Cancer Treated in the US Community Setting. JCO Oncol Pract 2024; 20:370-377. [PMID: 38194619 DOI: 10.1200/op.23.00253] [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: 04/25/2023] [Revised: 10/13/2023] [Accepted: 11/16/2023] [Indexed: 01/11/2024] Open
Abstract
PURPOSE Racial/ethnic inequities in next-generation sequencing (NGS) were examined for patients with advanced non-small-cell lung cancer (aNSCLC) at the practice and physician levels to inform policies to improve equitable quality of care. METHODS This retrospective study used a nationwide electronic health record-derived deidentified database for patients with aNSCLC diagnosed between April 2018 and March 2022 in the community setting. Timely NGS was an NGS result between initial diagnosis and ≤60 days after advanced diagnosis. We studied how inequities were driven by (1) non-Latinx Black (Black) and Latinx patient under-representation at high testing practices versus (2) Black and Latinx patients being tested at lower rates than non-Latinx White (White) patients, even at the same practice. We defined these two concepts as across inequity and within inequity, respectively, with total inequity as their summation. Mean percentage point inequities were estimated using a Bayesian approach. RESULTS A total of 12,045 patients (9,981 White; 1,528 Black; 536 Latinx) met study criteria. At the practice level, versus White patients, the mean percentage point difference in NGS testing total inequity was 7.49 for Black and 8.26 for Latinx. Within- and across-practice inequities contributed to total inequity in NGS testing for Black (48% v 52%) and Latinx patients (60% v 40%). At the physician level, versus White patients, the mean percentage point difference in total inequity was 7.73 for Black and 8.81 for Latinx patients. Within- versus across-physician inequities contributed to total inequity for Black and Latinx patients (77% v 23% and 67% v 33%). CONCLUSION Within-practice, across-practice, and across-physician inequities were main contributors to total inequity in NGS testing, requiring a suite of interventions to effectively address inequities.
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Affiliation(s)
- Gregory A Vidal
- West Cancer Center and Research Institute, Memphis, TN
- OneOncology, Nashville, TN
| | | | | | | | | | - Esprit Ma
- Genentech, Inc, South San Francisco, CA
| | - Elaine Yu
- Genentech, Inc, South San Francisco, CA
| | | | | | | | | | - Richard Zuniga
- OneOncology, Nashville, TN
- New York Cancer and Blood Specialists, Port Jefferson Station, NY
| | - Davey Daniel
- OneOncology, Nashville, TN
- Tennessee Oncology, Nashville, TN
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Iams WT, Mackay M, Ben-Shachar R, Drews J, Manghnani K, Hockenberry AJ, Cristofanilli M, Nimeiri H, Guinney J, Benson AB. Concurrent Tissue and Circulating Tumor DNA Molecular Profiling to Detect Guideline-Based Targeted Mutations in a Multicancer Cohort. JAMA Netw Open 2024; 7:e2351700. [PMID: 38252441 PMCID: PMC10804266 DOI: 10.1001/jamanetworkopen.2023.51700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 11/26/2023] [Indexed: 01/23/2024] Open
Abstract
Importance Tissue-based next-generation sequencing (NGS) of solid tumors is the criterion standard for identifying somatic mutations that can be treated with National Comprehensive Cancer Network guideline-recommended targeted therapies. Sequencing of circulating tumor DNA (ctDNA) can also identify tumor-derived mutations, and there is increasing clinical evidence supporting ctDNA testing as a diagnostic tool. The clinical value of concurrent tissue and ctDNA profiling has not been formally assessed in a large, multicancer cohort from heterogeneous clinical settings. Objective To evaluate whether patients concurrently tested with both tissue and ctDNA NGS testing have a higher rate of detection of guideline-based targeted mutations compared with tissue testing alone. Design, Setting, and Participants This cohort study comprised 3209 patients who underwent sequencing between May 2020, and December 2022, within the deidentified, Tempus multimodal database, consisting of linked molecular and clinical data. Included patients had stage IV disease (non-small cell lung cancer, breast cancer, prostate cancer, or colorectal cancer) with sufficient tissue and blood sample quantities for analysis. Exposures Received results from tissue and plasma ctDNA genomic profiling, with biopsies and blood draws occurring within 30 days of one another. Main Outcomes and Measures Detection rates of guideline-based variants found uniquely by ctDNA and tissue profiling. Results The cohort of 3209 patients (median age at diagnosis of stage IV disease, 65.3 years [2.5%-97.5% range, 43.3-83.3 years]) who underwent concurrent tissue and ctDNA testing included 1693 women (52.8%). Overall, 1448 patients (45.1%) had a guideline-based variant detected. Of these patients, 9.3% (135 of 1448) had variants uniquely detected by ctDNA profiling, and 24.2% (351 of 1448) had variants uniquely detected by solid-tissue testing. Although largely concordant with one another, differences in the identification of actionable variants by either assay varied according to cancer type, gene, variant, and ctDNA burden. Of 352 patients with breast cancer, 20.2% (71 of 352) with actionable variants had unique findings in ctDNA profiling results. Most of these unique, actionable variants (55.0% [55 of 100]) were found in ESR1, resulting in a 24.7% increase (23 of 93) in the identification of patients harboring an ESR1 mutation relative to tissue testing alone. Conclusions and Relevance This study suggests that unique actionable biomarkers are detected by both concurrent tissue and ctDNA testing, with higher ctDNA identification among patients with breast cancer. Integration of concurrent NGS testing into the routine management of advanced solid cancers may expand the delivery of molecularly guided therapy and improve patient outcomes.
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Affiliation(s)
- Wade T. Iams
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | | | | | - Massimo Cristofanilli
- Sandra and Edward Meyer Cancer Center at Weill Cornell Medicine, New York, New York
- NewYork-Presbyterian Hospital, New York, New York
| | | | | | - Al B. Benson
- Department of Medicine, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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Russo A, Lee JK, Pasquina LW, Del Re M, Dilks HH, Murugesan K, Madison RW, Lee Y, Schrock AB, Comment L, Dietrich M, Oxnard GR, Rolfo C. Liquid Biopsy of Lung Cancer Before Pathological Diagnosis Is Associated With Shorter Time to Treatment. JCO Precis Oncol 2024; 8:e2300535. [PMID: 38295321 PMCID: PMC10843270 DOI: 10.1200/po.23.00535] [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: 09/23/2023] [Revised: 10/31/2023] [Accepted: 11/17/2023] [Indexed: 02/02/2024] Open
Abstract
PURPOSE Studies have investigated the early use of liquid biopsy (LBx) during the diagnostic workup of patients presenting with clinical evidence of advanced lung cancer, but real-world adoption and impact has not been characterized. The aim of this study was to determine whether the use of LBx before diagnosis (Dx; LBx-Dx) enables timely comprehensive genomic profiling (CGP) and shortens time until treatment initiation for advanced non-small-cell lung cancer (aNSCLC). MATERIALS AND METHODS This study used the Flatiron Health-Foundation Medicine electronic health record-derived deidentified clinicogenomic database of patients with aNSCLC from approximately 280 US cancer clinics. RESULTS Of 1,076 patients with LBx CGP ordered within 30 days prediagnosis/postdiagnosis, we focused on 56 (5.2%) patients who ordered LBx before diagnosis date (median 8 days between order and diagnosis, range, 1-28). Compared with 1,020 patients who ordered LBx after diagnosis (Dx-LBx), LBx-Dx patients had similar stage and ctDNA tumor fraction (TF). LBx-Dx patients received CGP results a median of 1 day after Dx versus 25 days for Dx-LBx patients. Forty-three percent of LBx-Dx were positive for an National Comprehensive Cancer Network driver, and 32% had ctDNA TF >1% but were driver negative (presumed true negatives). In 748 patients with previously untreated aNSCLC, median time from Dx to therapy was shorter in the LBx-Dx versus Dx-LBx group (21 v 35 days; P < .001). CONCLUSION Early LBx in anticipation of pathologic diagnosis of aNSCLC was uncommon in this real-world cohort, yet this emerging paradigm was associated with an abbreviated time to CGP results and faster therapy initiation. Forthcoming prospective studies will clarify the utility of LBx in parallel with biopsy for diagnostic confirmation for patients presenting with suspected advanced lung cancer.
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Affiliation(s)
- Alessandro Russo
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Onco-hematology, Papardo Hospital, Messina, Italy
| | | | | | - Marzia Del Re
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
- Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | | | | | - Yi Lee
- Trinity Health Oakland, Pontiac, MI
- Wayne State University School of Medicine, Detroit, MI
| | | | | | - Martin Dietrich
- Florida Cancer Specialists & Research Institute, Lake Mary, FL
| | | | - Christian Rolfo
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
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Xie J, Yao W, Chen L, Zhu W, Liu Q, Geng G, Fang J, Zhao Y, Xiao L, Huang Z, Zhao J. Plasma ctDNA increases tissue NGS-based detection of therapeutically targetable mutations in lung cancers. BMC Cancer 2023; 23:294. [PMID: 37004022 PMCID: PMC10063947 DOI: 10.1186/s12885-023-10674-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 02/23/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Circulating tumor DNA (ctDNA) has been becoming a novel convenient and noninvasive method for dynamically monitoring landscape of genomic information to guild personalized cancer treatment. In this study we comprehensively evaluated the additional value of plasma ctDNA to routine tissue next generation sequencing (NGS) of therapeutically targetable mutations in lung cancers. METHODS The tumor tissues and peripheral blood samples from 423 cases of patients with lung cancer were subjected to NGS of mutations in oncodrivers (EGFR, ERBB2, ALK, ROS1, C-MET, KRAS, BRAF, RET, BRCA1 and BRCA2). RESULTS One hundred and ninety-seven cases showed both plasma and tissue positive and 96 showed both negative. The concordance for tissue and blood detection was 69.27% (293/423). 83 (19.62%) cases showed positive by tissue NGS alone and 47 (11.11%) positive by plasma ctDNA alone. The sensitivity of tissue and plasma detection was 85.63%, and 74.62%, respectively. Plasma had lower detection and sensitivity than tissue, but plasma additionally detected some important mutations which were omitted by tissue NGS. Plasma plus tissue increased the detection rate of 66.19% by tissue alone to 77.30% as well as the sensitivity of 85.63-100%. Similar results were also observed when the cases were classified into subpopulations according to different stages (IV vs. III vs. I-II), grades (low vs. middle grade) and metastatic status (metastasis vs. no metastasis). CONCLUSION Plasma ctDNA shares a high concordance with tissue NGS, and plasma plus tissue enhances the detection rate and sensitivity by tissue alone, implying that the tissue and plasma detection should be mutually complementary in the clinical application.
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Affiliation(s)
- Jianjiang Xie
- Department of Thoracic surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, 510180, China
| | - Weishen Yao
- Department of Cardiothoracic Surgery, Nanhai District People's Hospital of Foshan, Foshan, 528200, China
| | - Lingxiu Chen
- Department of Pulmonary and Critical Care Medicine, Three Gorges Hospital of Chongqing University, Chongqing, 404000, China
| | - Wenjun Zhu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, P.R. China
| | - Qiang Liu
- Shenyang Chest Hospital & Tenth People's Hospital, Shenyang, Liaoning, 110044, China
| | - Geng Geng
- Department of Thoracic and Cardiac Surgery, WuHu Hospital, East China Normal University, Wuhu, Anhui, 241000, China
| | - Jing Fang
- Department of Oncology, School of Medicine, Zhongshan Hospital of Xiamen University, Xiamen, 361004, China
| | - Yang Zhao
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Li Xiao
- Department of Oncology, School of Medicine, Zhongshan Hospital of Xiamen University, Xiamen, 361004, China.
| | - Zhenhua Huang
- Department of Oncology, Nanfang Hospital of Southern Medical University, Guangzhou, 510515, China.
| | - Jing Zhao
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, P.R. China.
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Pujol N, Heeke S, Bontoux C, Boutros J, Ilié M, Hofman V, Marquette CH, Hofman P, Benzaquen J. Molecular Profiling in Non-Squamous Non-Small Cell Lung Carcinoma: Towards a Switch to Next-Generation Sequencing Reflex Testing. J Pers Med 2022; 12:1684. [PMID: 36294823 PMCID: PMC9605324 DOI: 10.3390/jpm12101684] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/07/2022] [Accepted: 10/08/2022] [Indexed: 11/05/2022] Open
Abstract
Molecular diagnosis of lung cancer is a constantly evolving field thanks to major advances in precision oncology. The wide range of actionable molecular alterations in non-squamous non-small cell lung carcinoma (NS-NSCLC) and the multiplicity of mechanisms of resistance to treatment resulted in the need for repeated testing to establish an accurate molecular diagnosis, as well as to track disease evolution over time. While assessing the increasing complexity of the molecular composition of tumors at baseline, as well as over time, has become increasingly challenging, the emergence and implementation of next-generation sequencing (NGS) testing has extensively facilitated molecular profiling in NS-NSCLC. In this review, we discuss recent developments in the molecular profiling of NS-NSCLC and how NGS addresses current needs, as well as how it can be implemented to address future challenges in the management of NS-NSCLC.
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Affiliation(s)
- Nina Pujol
- Centre Antoine-Lacassagne, Department of Radiation Oncology, Côte d’Azur University, 06000 Nice, France
| | - Simon Heeke
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christophe Bontoux
- Laboratory of Clinical and Experimental Pathology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Biobank BB-0033-00025, 06000 Nice, France
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
| | - Jacques Boutros
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, 06000 Nice, France
| | - Marius Ilié
- Laboratory of Clinical and Experimental Pathology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Biobank BB-0033-00025, 06000 Nice, France
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
| | - Véronique Hofman
- Laboratory of Clinical and Experimental Pathology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Biobank BB-0033-00025, 06000 Nice, France
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
| | - Charles-Hugo Marquette
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, 06000 Nice, France
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Biobank BB-0033-00025, 06000 Nice, France
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
| | - Jonathan Benzaquen
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, 06000 Nice, France
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