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Meernik C, Raveendran Y, Kolarova M, Rahman F, Olunuga E, Hammond E, Shivaramakrishnan A, Hendren S, Bosworth HB, Check DK, Green M, Strickler JH, Akinyemiju T. Racial and ethnic disparities in genomic testing among lung cancer patients: a systematic review. J Natl Cancer Inst 2024; 116:812-828. [PMID: 38321254 PMCID: PMC11160502 DOI: 10.1093/jnci/djae026] [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: 08/20/2023] [Revised: 01/30/2024] [Accepted: 02/01/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Racial and ethnic disparities in genomic testing could exacerbate disparities in access to precision cancer therapies and survival-particularly in the context of lung cancer where genomic testing has been recommended for the past decade. However, prior studies assessing disparities in genomic testing have yielded mixed results. METHODS We conducted a systemic review to examine racial and ethnic disparities in the use of genomic testing among lung cancer patients in the United States. Two comprehensive searches in PubMed, Embase, and Scopus were conducted (September 2022, May 2023). Original studies that assessed rates of genomic testing by race or ethnicity were included. Findings were narratively synthesized by outcome. RESULTS The search yielded 2739 unique records, resulting in 18 included studies. All but 1 study were limited to patients diagnosed with non-small cell lung cancer. Diagnosis years ranged from 2007 to 2022. Of the 18 studies, 11 found statistically significant differences in the likelihood of genomic testing by race or ethnicity; in 7 of these studies, testing was lower among Black patients compared with White or Asian patients. However, many studies lacked adjustment for key covariates and included patients with unclear eligibility for testing. CONCLUSIONS A majority of studies, though not all, observed racial and ethnic disparities in the use of genomic testing among patients with lung cancer. Heterogeneity of study results throughout a period of changing clinical guidelines suggests that minoritized populations-Black patients in particular-have faced additional barriers to genomic testing, even if not universally observed at all institutions.
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Affiliation(s)
- Clare Meernik
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | | | - Michaela Kolarova
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Fariha Rahman
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | | | - Emmery Hammond
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | | | - Steph Hendren
- Medical Center Library and Archives, Duke University School of Medicine, Durham, NC, USA
| | - Hayden B Bosworth
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, NC, USA
- Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
- Duke University School of Nursing, Duke University School of Medicine, Durham, NC, USA
| | - Devon K Check
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Michelle Green
- Duke Pathology, Duke University School of Medicine, Durham, NC, USA
| | - John H Strickler
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, USA
| | - Tomi Akinyemiju
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, USA
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Ferreira-Gonzalez A, Hocum B, Ko G, Shuvo S, Appukkuttan S, Babajanyan S. Next-Generation Sequencing Trends among Adult Patients with Select Advanced Tumor Types: A Real-World Evidence Evaluation. J Mol Diagn 2024; 26:292-303. [PMID: 38296192 DOI: 10.1016/j.jmoldx.2024.01.005] [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: 07/11/2023] [Revised: 10/10/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024] Open
Abstract
There are limited data on the prevalence of next-generation sequencing (NGS) in the United States, especially in light of the increasing importance of identifying actionable oncogenic variants due to molecular biomarker-based therapy approvals. This retrospective study of adult patients with select metastatic solid tumors and central nervous system tumors from the Optum Clinformatics Data Mart US health care claims database (January 1, 2014, to June 30, 2021; N = 63,209) examined NGS use trends over time. A modest increase in NGS was observed across tumor types from 2015 (0.0% to 1.5%) to 2021 (2.1% to 17.4%). A similar increase in NGS rates was also observed across key periods; however, rates in the final key period remained <10% for patients with breast, colorectal, head and neck, soft tissue sarcoma, and thyroid cancers, as well as central nervous system tumors. The median time to NGS from diagnosis was shortest among patients with non-small-cell lung cancer and longest for patients with breast cancer. Predictors of NGS varied by tumor type; test rates for minorities in select tumor types appeared comparable to the White population. Despite improving payer policies to expand coverage of NGS and molecular biomarker-based therapy approvals, NGS rates remained low across tumor types. Given the potential for improved patient outcomes with molecular biomarker-based therapy, further efforts to improve NGS rates are warranted.
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Affiliation(s)
| | - Brian Hocum
- Bayer HealthCare Pharmaceuticals, Inc., Whippany, New Jersey
| | - Gilbert Ko
- Bayer HealthCare Pharmaceuticals, Inc., Whippany, New Jersey.
| | - Sohul Shuvo
- Bayer HealthCare Pharmaceuticals, Inc., Whippany, New Jersey
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Hirotsu Y, Nakagomi T, Nagakubo Y, Goto T, Omata M. Simulation analysis of EGFR mutation detection: Oncomine Dx target test and AmoyDx panel impact on lung cancer treatment decisions. Sci Rep 2024; 14:1594. [PMID: 38238401 PMCID: PMC10796947 DOI: 10.1038/s41598-024-52006-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/12/2024] [Indexed: 01/22/2024] Open
Abstract
Lung cancer is a leading cause of cancer-related deaths worldwide. Epidermal growth factor receptor (EGFR) driver mutations are crucial for treatment decisions for patients with non-small cell lung cancer (NSCLC). This study aimed to assess the differences in EGFR mutation detection between two companion diagnostic (CDx) tests-the Oncomine Dx Target Test (ODxTT) and the AmoyDx Pan Lung Cancer PCR Panel-and their impact on treatment applicability. To this end, we used an in-house targeted sequencing dataset of 282 samples from 127 EGFR-mutated NSCLC patients to simulate the concordance between the EGFR variants targeted by the ODxTT and AmoyDx panel, the oncogenicity of the variants, and their therapeutic potential. Of the 216 EGFR mutations identified by the in-house panel, 51% were detectable by both CDx tests, 3% were specific to ODxTT, and 46% were not targeted by either test. Most non-targeted mutations did not have oncogenicity and were located outside exons 18-21. Notably, 95% of the mutations detectable by both tests had potential oncogenicity. Furthermore, among the 96 patients harboring actionable EGFR mutations, 97% had mutations detectable by both CDx tests and 1% by ODxTT, while 2% had mutations not covered by either test. These findings suggest that while both CDx tests are effective in detecting almost all actionable EGFR mutations, ODxTT provides slightly broader coverage. These results emphasize the importance of selecting appropriate CDx tests to inform treatment decisions for EGFR-positive NSCLC patients.
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Affiliation(s)
- Yosuke Hirotsu
- Genome Analysis Center, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi, 400-8506, Japan.
| | - Takahiro Nakagomi
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi, Japan
| | - Yuki Nagakubo
- Division of Genetics and Clinical Laboratory, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi, Japan
| | - Taichiro Goto
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi, Japan
| | - Masao Omata
- Department of Gastroenterology, Yamanashi Central Hospital, 1-1-1 Fujimi, Kofu, Yamanashi, Japan
- The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
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Kästner A, Kron A, van den Berg N, Moon K, Scheffler M, Schillinger G, Pelusi N, Hartmann N, Rieke DT, Stephan-Falkenau S, Schuler M, Wermke M, Weichert W, Klauschen F, Haller F, Hummel HD, Sebastian M, Gattenlöhner S, Bokemeyer C, Esposito I, Jakobs F, von Kalle C, Büttner R, Wolf J, Hoffmann W. Evaluation of the effectiveness of a nationwide precision medicine program for patients with advanced non-small cell lung cancer in Germany: a historical cohort analysis. THE LANCET REGIONAL HEALTH. EUROPE 2024; 36:100788. [PMID: 38034041 PMCID: PMC10687333 DOI: 10.1016/j.lanepe.2023.100788] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/02/2023] [Accepted: 11/03/2023] [Indexed: 12/02/2023]
Abstract
Background The national Network Genomic Medicine (nNGM) Lung Cancer provides comprehensive and high-quality multiplex molecular diagnostics and standardized personalized treatment recommendation for patients with advanced non-small cell lung cancer (aNSCLC) in Germany. The primary aim of this study was to investigate the effectiveness of the nNGM precision medicine program in terms of overall survival (OS) using real-world data (RWD). Methods A historical nationwide cohort analysis of patients with aNSCLC and initial diagnosis between 04/2019 and 06/2020 was conducted to compare treatment and OS of patients with and without nNGM-participation. Patients participating within the nNGM (nNGM group) were selected based on a prospective nNGM database. The electronic health records (EHR) of the prospective nNGM database were case-specifically linked to claims data (AOK, German health insurance). The control group was selected from claims data of patients receiving usual care without nNGM-participation (non-nNGM group). The minimum follow-up period was six months. Findings Overall, n = 509 patients in the nNGM group and n = 7213 patients in the non-nNGM group met the inclusion criteria. Patients participating in the nNGM had a significantly improved OS compared to the non-nNGM group (median OS: 10.5 months vs. 8.7 months, p = 0.008, HR = 0.84, 95% CI: 0.74-0.95). The 1-year survival rates were 46.8% (nNGM) and 41.3% (non-nNGM). The use of approved tyrosine kinase inhibitors (TKI) in the first-line setting was significantly higher in the nNGM group than in the non-nNGM group (nNGM: 8.4% (43/509) vs. non-nNGM: 5.1% (366/7213), p = 0.001). Overall, patients receiving first-line TKI treatment had significantly higher 1-year OS rates than patients treated with PD-1/PD-L1 inhibitors and/or chemotherapy (67.2% vs. 40.2%, p < 0.001). Interpretation This is the first study to demonstrate a significant survival benefit and higher utilization of targeted therapies for aNSCLC patients participating within nNGM. Our data indicate that precision medicine programs can enhance collaborative personalized lung cancer care and promote the implementation of treatment innovations and the latest scientific knowledge into clinical routine care. Funding The study was funded by the AOK Federal Association Germany.
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Affiliation(s)
- Anika Kästner
- Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany
| | - Anna Kron
- National Network Genomic Medicine Lung Cancer, Germany
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Lung Cancer Group Cologne, University Hospital of Cologne, Cologne, Germany
| | - Neeltje van den Berg
- Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany
| | - Kilson Moon
- Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany
| | - Matthias Scheffler
- National Network Genomic Medicine Lung Cancer, Germany
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Lung Cancer Group Cologne, University Hospital of Cologne, Cologne, Germany
| | | | - Natalie Pelusi
- National Network Genomic Medicine Lung Cancer, Germany
- Institute of Pathology, University Hospital Bonn, Bonn, Germany
| | - Nils Hartmann
- National Network Genomic Medicine Lung Cancer, Germany
- Institute of Pathology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Damian Tobias Rieke
- National Network Genomic Medicine Lung Cancer, Germany
- Charité Comprehensive Cancer Center, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Susann Stephan-Falkenau
- National Network Genomic Medicine Lung Cancer, Germany
- Institute of Pathology, Helios Klinikum Emil von Behring, Berlin, Germany
| | - Martin Schuler
- National Network Genomic Medicine Lung Cancer, Germany
- West German Cancer Center, University Hospital Essen, Essen, Germany
| | - Martin Wermke
- National Network Genomic Medicine Lung Cancer, Germany
- Clinic for Internal Medicine I, University Hospital Carl Gustav Carus and Medical Faculty of the TU Dresden, Dresden, Germany
| | - Wilko Weichert
- National Network Genomic Medicine Lung Cancer, Germany
- Institute of Pathology, Technical University of Munich (TUM), Munich, Germany
| | - Frederick Klauschen
- National Network Genomic Medicine Lung Cancer, Germany
- Institute of Pathology, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Florian Haller
- National Network Genomic Medicine Lung Cancer, Germany
- Institute of Pathology, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Horst-Dieter Hummel
- National Network Genomic Medicine Lung Cancer, Germany
- Translational Oncology/Early Clinical Trial Unit (ECTU), Comprehensive Cancer Center Mainfranken and Bavarian Cancer Research Center (BZKF), University Hospital Würzburg, Würzburg, Germany
| | - Martin Sebastian
- National Network Genomic Medicine Lung Cancer, Germany
- Department of Medicine II, Hematology/Oncology, University Hospital Frankfurt, Frankfurt, Germany
| | - Stefan Gattenlöhner
- National Network Genomic Medicine Lung Cancer, Germany
- Department of Pathology, University Hospital Giessen and Marburg, Giessen, Germany
| | - Carsten Bokemeyer
- National Network Genomic Medicine Lung Cancer, Germany
- University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Irene Esposito
- National Network Genomic Medicine Lung Cancer, Germany
- Institute of Pathology, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
| | - Florian Jakobs
- National Network Genomic Medicine Lung Cancer, Germany
- Department of Hematology and Stem Cell Transplantation, Faculty of Medicine and University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Christof von Kalle
- National Network Genomic Medicine Lung Cancer, Germany
- Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Reinhard Büttner
- National Network Genomic Medicine Lung Cancer, Germany
- Institute of Pathology, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Lung Cancer Group Cologne, University of Cologne, Cologne, Germany
| | - Jürgen Wolf
- National Network Genomic Medicine Lung Cancer, Germany
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Lung Cancer Group Cologne, University Hospital of Cologne, Cologne, Germany
| | - Wolfgang Hoffmann
- Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany
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Stephens EKH, Guayco Sigcha J, Lopez-Loo K, Yang IA, Marshall HM, Fong KM. Biomarkers of lung cancer for screening and in never-smokers-a narrative review. Transl Lung Cancer Res 2023; 12:2129-2145. [PMID: 38025810 PMCID: PMC10654441 DOI: 10.21037/tlcr-23-291] [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: 05/10/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023]
Abstract
Background and Objective Lung cancer is the leading cause of cancer-related mortality worldwide, partially attributed to late-stage diagnoses. In order to mitigate this, lung cancer screening (LCS) of high-risk patients is performed using low dose computed tomography (CT) scans, however this method is burdened by high false-positive rates and radiation exposure for patients. Further, screening programs focus on individuals with heavy smoking histories, and as such, never-smokers who may otherwise be at risk of lung cancer are often overlooked. To resolve these limitations, biomarkers have been posited as potential supplements or replacements to low-dose CT, and as such, a large body of research in this area has been produced. However, comparatively little information exists on their clinical efficacy and how this compares to current LCS strategies. Methods Here we conduct a search and narrative review of current literature surrounding biomarkers of lung cancer to supplement LCS, and biomarkers of lung cancer in never-smokers (LCINS). Key Content and Findings Many potential biomarkers of lung cancer have been identified with varying levels of sensitivity, specificity, clinical efficacy, and supporting evidence. Of the markers identified, multi-target panels of circulating microRNAs, lipids, and metabolites are likely the most clinically efficacious markers to aid current screening programs, as these provide the highest sensitivity and specificity for lung cancer detection. However, circulating lipid and metabolite levels are known to vary in numerous systemic pathologies, highlighting the need for further validation in large cohort randomised studies. Conclusions Lung cancer biomarkers is a fast-expanding area of research and numerous biomarkers with potential clinical applications have been identified. However, in all cases the level of evidence supporting clinical efficacy is not yet at a level at which it can be translated to clinical practice. The priority now should be to validate existing candidate markers in appropriate clinical contexts and work to integrating these into clinical practice.
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Affiliation(s)
- Edward K. H. Stephens
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Jazmin Guayco Sigcha
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Kenneth Lopez-Loo
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Ian A. Yang
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Brisbane, Australia
| | - Henry M. Marshall
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Brisbane, Australia
| | - Kwun M. Fong
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Brisbane, Australia
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Hess LM, Peterson P, Sugihara T, Bhandari NR, Krein PM, Sireci A. Initial versus early switch to targeted therapy during first-line treatment among patients with biomarker-positive advanced or metastatic non-small cell lung cancer in the United States. Cancer Treat Res Commun 2023; 37:100761. [PMID: 37717466 DOI: 10.1016/j.ctarc.2023.100761] [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: 07/13/2023] [Revised: 09/08/2023] [Accepted: 09/11/2023] [Indexed: 09/19/2023]
Abstract
OBJECTIVES This study compared outcomes between patients with biomarker-positive advanced/metastatic non-small cell lung cancer (a/mNSCLC) who initiated treatment with targeted therapy versus those who initiated chemotherapy-based treatment and switched to targeted therapy during the first ∼3 cycles (defined as the first 56 days) of first-line treatment. MATERIALS AND METHODS This was an observational study of patients with a/mNSCLC who received targeted therapy from a nationwide electronic health record (EHR)-derived de-identified database. Outcomes were compared between those who initiated targeted therapy versus those who switched from chemotherapy to a targeted agent. Time-to-event outcomes were evaluated using Kaplan-Meier method; Cox proportional hazards models (adjusted for baseline covariates) were used to compare outcomes between groups. RESULTS Of the 4,244 patients in this study, 3,107 (73.2%) initiated the first line with targeted therapy and 346 (8.2%) switched to targeted therapy. Patients who received initial targeted therapy were significantly more likely to be non-smokers, treated in an academic practice setting, and of slightly older age (all p < 0.05). Patients who received initial targeted therapy also had a significantly longer time to start of first-line treatment (35.8 vs 25.3 days, p < 0.001). No significant differences were observed for clinical outcomes between groups. CONCLUSION In both unadjusted and adjusted analyses, there were no differences in the clinical outcomes observed among patients with a/mNSCLC in this study. This study found that initiating chemotherapy with an early switch to targeted therapy (within 56 days) of receiving biomarker positive results may be an acceptable strategy for a patient for whom immediate care is needed.
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Aggarwal C, Marmarelis ME, Hwang WT, Scholes DG, McWilliams TL, Singh AP, Sun L, Kosteva J, Costello MR, Cohen RB, Langer CJ, Doucette A, Gabriel PN, Shulman LN, Rendle KA, Thompson JC, Bekelman JE, Carpenter EL. Association Between Availability of Molecular Genotyping Results and Overall Survival in Patients With Advanced Nonsquamous Non-Small-Cell Lung Cancer. JCO Precis Oncol 2023; 7:e2300191. [PMID: 37499192 DOI: 10.1200/po.23.00191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/20/2023] [Accepted: 06/30/2023] [Indexed: 07/29/2023] Open
Abstract
PURPOSE Current guidelines recommend molecular genotyping for patients newly diagnosed with metastatic nonsquamous (mNSq) non-small-cell lung cancer (NSCLC). The association between availability of molecular genotyping before first line (1L) therapy and overall survival (OS) is not known. METHODS We conducted a real-world cohort study using electronic health records in patients newly diagnosed with mNSq NSCLC. Cox proportional-hazards multivariable regression models were constructed to examine the association between OS and test result availability before 1L therapy, adjusting for covariates. Additional analyses were conducted to assess the consistency and strength of the relationship. Multivariable logistic regression models were used to examine the association between concurrent tissue and plasma testing (v tissue alone) and result availability. RESULTS Three hundred twenty-six patients were included, 80% (261/326) with results available before 1L (available testing group), and 20% (65/326) without results available (unavailable testing group). With 14.2-month median follow-up, patients in the available testing group had significantly longer OS relative to the unavailable testing group (adjusted hazard ratio, 0.43; 95% CI, 0.30 to 0.62; P < .0001). The adjusted odds of availability of results before 1L therapy was higher with concurrent tissue and plasma testing (v tissue testing alone; adjusted odds ratio, 2.06; 95% CI, 1.09 to 3.90; P = .026). CONCLUSION Among patients with mNSq NSCLC in a real-world cohort, availability of molecular genotyping results before 1L therapy was associated with significantly better OS. Concurrent tissue and plasma testing was associated with a higher odds of availability of results before 1L therapy. These findings warrant renewed attention to the completion of molecular genotyping before 1L therapy.
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Affiliation(s)
- Charu Aggarwal
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
| | - Melina E Marmarelis
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Wei-Ting Hwang
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA
| | - Dylan G Scholes
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
| | - Tara L McWilliams
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA
| | - Aditi P Singh
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Lova Sun
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - John Kosteva
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Michael R Costello
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Roger B Cohen
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Corey J Langer
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Abigail Doucette
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
| | - Peter N Gabriel
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Lawrence N Shulman
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
| | - Katharine A Rendle
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
- Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jeffrey C Thompson
- Department of Pulmonary Medicine and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Justin E Bekelman
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Penn Center for Cancer Care Innovation, University of Pennsylvania, Philadelphia, PA
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA
| | - Erica L Carpenter
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
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Schwartzberg L, Daniel D, Vaena D, Slater D, Staszewski H, Fang B, Seneviratne L, Yu E, Price R, Szado T, Meyer CS, Shah A, Ma E. Improving biomarker testing in advanced non-small-cell lung cancer and metastatic colorectal cancer: experience from a large community oncology network in the USA. Future Oncol 2023; 19:1397-1414. [PMID: 37318757 DOI: 10.2217/fon-2022-1216] [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] [Indexed: 06/16/2023] Open
Abstract
Aim: Biomarker testing detects actionable driver mutations to inform first-line treatment in advanced non-small-cell lung cancer (aNSCLC) and metastatic colorectal cancer (mCRC). This study evaluated biomarker testing in a nationwide database (NAT) versus the OneOncology (OneOnc) community network. Patients & methods: Patients with aNSCLC or mCRC with ≥1 biomarker test in a de-identified electronic health record-derived database were evaluated. OneOnc oncologists were surveyed. Results: Biomarker testing rates were high and comparable between OneOnc and NAT; next-generation sequencing (NGS) rates were higher at OneOnc. Patients with NGS versus other biomarker testing were more likely to receive targeted treatment. Operational challenges and insufficient tissue were barriers to NGS testing. Conclusion: Community cancer centers delivered personalized healthcare through biomarker testing.
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Affiliation(s)
- Lee Schwartzberg
- Renown Health Institute for Cancer, Reno, NV 89502, USA
- OneOncology, Inc., Nashville, TN 37219, USA
| | - Davey Daniel
- OneOncology, Inc., Nashville, TN 37219, USA
- Tennessee Oncology, Nashville, TN 37203, USA
| | - Daniel Vaena
- OneOncology, Inc., Nashville, TN 37219, USA
- West Cancer Center & Research Institute, Germantown, TN 38138, USA
| | - Dennis Slater
- OneOncology, Inc., Nashville, TN 37219, USA
- Eastern Connecticut Hematology & Oncology, Norwich, CT 06360, USA
| | - Harry Staszewski
- OneOncology, Inc., Nashville, TN 37219, USA
- New York Cancer & Blood Specialists, Port Jefferson Station, NY 11776, USA
| | - Bruno Fang
- OneOncology, Inc., Nashville, TN 37219, USA
- Astera Cancer Care, East Brunswick, NJ 08816, USA
| | - Lasika Seneviratne
- OneOncology, Inc., Nashville, TN 37219, USA
- Los Angeles Cancer Network, Los Angeles, CA 90017, USA
| | - Elaine Yu
- Genentech, Inc., South San Francisco, CA 94080, USA
| | | | - Tania Szado
- Genentech, Inc., South San Francisco, CA 94080, USA
| | - Craig S Meyer
- Janssen Pharmaceuticals of Johnson & Johnson, South San Francisco, CA 94080, USA
| | - Anuj Shah
- Gilead Sciences, Inc., Foster City, CA 94404, USA
| | - Esprit Ma
- Genentech, Inc., South San Francisco, CA 94080, USA
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9
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Hedblom AH, Pruneri G, Quagliata L, Costa JL, Dumanois R, Rolando C, Saunders R. Cancer patient management: Current use of next-generation sequencing in the EU TOP4. J Cancer Policy 2023; 35:100376. [PMID: 36511325 DOI: 10.1016/j.jcpo.2022.100376] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/12/2022] [Accepted: 11/25/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Next-generation sequencing (NGS) is recognised by a growing audience of medical professionals as a functional diagnostic tool in oncology. However, adoption in clinical routine proceeds haphazardly in Europe. METHODS A semi-structured interview survey was administered to 68 cancer care professionals in four EU countries between June-August and November-December 2021. Pre-screening questionnaires assessed sufficient NGS expertise, diverse geographical distribution, and professional roles. RESULTS Our findings provide a better understanding of current clinical, regulatory, and reimbursement practices for NGS in four EU countries. CONCLUSIONS Despite the impending European In-vitro Diagnostic Medical Devices Regulation (IVDR), tortuous national guidelines implementations and limping reimbursement policies are common traits across surveyed countries and produce disparity in access to advanced healthcare services amid regional distinctions. POLICY SUMMARY The evident information gap between involved parties and demand for consistent national guidelines could be filled by health economics analyses tailored to local specifics to provide factual leverage for a structured adoption of NGS testing.
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Affiliation(s)
| | - Giancarlo Pruneri
- Fondazione IRCCS, Istituto Nazionale Tumori, Milan, Italy; School of Medicine, University of Milan, Milan, Italy
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10
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Wu N, Ge W, Quek RG, Gleeson M, Pouliot JF, Dietz H, Jalbert JJ, Harnett J, Antonia SJ. Trends in real-world biomarker testing and overall survival in US patients with advanced non-small-cell lung cancer. Future Oncol 2022; 18:4385-4397. [PMID: 36656547 DOI: 10.2217/fon-2022-0540] [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] [Indexed: 01/20/2023] Open
Abstract
Background: Trends/outcomes associated with National Comprehensive Cancer Network (NCCN)-recommended biomarker testing to guide advanced non-small-cell lung cancer (aNSCLC) treatment were assessed. Methods: Patients initiating first-line aNSCLC treatment were included using a nationwide electronic health record-derived database (1/1/2015-10/31/2021). Trends in pre-first-line biomarker testing (PD-L1, major genomic aberrations), factors associated with testing and associations between testing and outcomes were assessed. Results: PD-L1/genomic aberration testing rates increased from 33% (2016) to 81% (2018), then plateaued. Certain clinical and demographic factors were associated with a greater likelihood of PD-L1 testing. Patients tested for PD-L1 or genomic aberrations had longer overall survival (OS). Conclusion: Biomarker testing may be associated with improved OS in aNSCLC, though not all patients had equal access to testing.
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Affiliation(s)
- Ning Wu
- Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Rd, Tarrytown, NY 10591, USA
| | - Wenzhen Ge
- Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Rd, Tarrytown, NY 10591, USA
| | - Ruben Gw Quek
- Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Rd, Tarrytown, NY 10591, USA
| | - Michelle Gleeson
- Genesis Research, LLC, 111 River Street, Suite 1120, Hoboken, NJ 07030, USA
| | - Jean-Francois Pouliot
- Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Rd, Tarrytown, NY 10591, USA
| | - Hilary Dietz
- Center for Cancer Immunotherapy, Duke University School of Medicine, 20 Duke Medicine Cir, Durham, NC 27710, USA
| | - Jessica J Jalbert
- Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Rd, Tarrytown, NY 10591, USA
| | - James Harnett
- Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Rd, Tarrytown, NY 10591, USA
| | - Scott J Antonia
- Center for Cancer Immunotherapy, Duke University School of Medicine, 20 Duke Medicine Cir, Durham, NC 27710, USA
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11
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Ren Y, Cao L, You M, Ji J, Gong Y, Ren H, Xu F, Guo H, Hu J, Li Z. “SMART” digital nucleic acid amplification technologies for lung cancer monitoring from early to advanced stages. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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12
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Diagnostic Value and Cost-Effectiveness of Next Generation Sequencing-Based Testing for Treatment of Patients with Advanced/Metastatic Non-Squamous Non-Small Cell Lung Cancer in the United States. J Mol Diagn 2022; 24:901-914. [PMID: 35688357 DOI: 10.1016/j.jmoldx.2022.04.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/30/2022] [Accepted: 04/25/2022] [Indexed: 11/22/2022] Open
Abstract
The study evaluated the diagnostic value and cost-effectiveness of next generation sequencing (NGS)-based testing versus various combinations of single-gene tests (SGTs) for selection of first-line treatment for patients with advanced/metastatic non-squamous non-small cell lung cancer in the United States. A dynamic decision analysis model was developed comparing NGS versus SGT from a payer perspective. Inputs were obtained from published sources and included diagnostic performance, biomarker-positive disease rates, biomarker-directed recommendations for treatment, and survival outcomes. Costs were reported in 2020 US dollars. In the base case, NGS improved the detection of actionable biomarkers by 74.4%, increased the proportion of patients receiving biomarker-driven therapy by 11.9%, and decreased the proportion of patients with biomarker-positive disease receiving non-biomarker-driven first-line treatment by 40.5%. The incremental cost-effectiveness ratio per life-year gained of NGS testing versus SGT was $7224 (excluding post-diagnostic costs); the incremental cost-effectiveness ratio for NGS-directed therapy was $148,786 versus SGT-directed therapy. Sensitivity analyses confirmed the robustness of these findings; survival outcomes and targeted therapy costs had the greatest impact on results. Testing strategies with NGS are more comprehensive in the detection of actionable biomarkers and can improve the proportion of patients receiving biomarker-driven therapies. NGS testing may provide a cost-effective strategy for advanced/metastatic non-squamous non-small cell lung cancer; however, the value of NGS-directed therapy varies by the willingness-to-pay threshold of the decision-maker.
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13
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Kang S, Woo J, Kim S. A Systematic Review of Companion Diagnostic Tests by Immunohistochemistry for the Screening of Alectinib-Treated Patients in ALK-Positive Non-Small Cell Lung Cancer. Diagnostics (Basel) 2022; 12:diagnostics12051297. [PMID: 35626451 PMCID: PMC9140374 DOI: 10.3390/diagnostics12051297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/13/2022] [Accepted: 05/20/2022] [Indexed: 11/29/2022] Open
Abstract
Companion diagnostic tests and targeted therapy changed the management of non-small cell lung cancer by diagnosing genetic modifications and enabling individualized treatment. The purpose of this systematic review is to assess the clinical applicability of companion diagnostic tests (IHC method) by comparing the effects of alectinib and crizotinib in patients with ALK-positive NSCLC. We searched for literature up to March 2022 in PubMed, Web of Science, Cochrane, and Google Scholar. The inclusion criteria were randomized controlled trials comparing the effectiveness of alectinib and crizotinib using an IHC-based companion diagnostic test. The primary outcome was progression-free survival (PFS). The secondary outcomes were objective response rate (ORR), duration of response (DOR), and overall survival (OS). PFS was longer in alectinib (68.4 [61.0, 75.9]) than crizotinib (48.7 [40.4, 56.9]). This indicated that alectinib had a superior efficacy to that of crizotinib (HR range 0.15–0.47). In all secondary outcomes, alectinib was better than crizotinib. Particularly for the ORR, the odds ratio (OR) confirmed that alectinib had a lower risk rate (OR: 2.21, [1.46–3.36], p = 0.0002, I2 = 39%). Therefore, the companion diagnostic test (immunohistochemistry) is an effective test to determine whether to administer alectinib to ALK-positive NSCLC patients.
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Affiliation(s)
- Sulim Kang
- Department of Medical Industry, Dongguk University-Seoul, 26, Pil-dong 3-ga, Jung-gu, Seoul 04620, Korea; (S.K.); (J.W.)
| | - Jaehyun Woo
- Department of Medical Industry, Dongguk University-Seoul, 26, Pil-dong 3-ga, Jung-gu, Seoul 04620, Korea; (S.K.); (J.W.)
| | - Sungmin Kim
- Department of Medical Industry, Dongguk University-Seoul, 26, Pil-dong 3-ga, Jung-gu, Seoul 04620, Korea; (S.K.); (J.W.)
- Department of Medical Biotechnology, Dongguk University, Bio Medi Campus, 32, Dongguk-ro, Ilsandong-gu, Goyang-si 10326, Gyeonggi-do, Korea
- Correspondence:
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14
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Wong WB, Anina D, Lin CW, Adams DV. Alignment of health plan coverage policies for somatic multigene panel testing with clinical guidelines in select solid tumors. Per Med 2022; 19:171-180. [PMID: 35118882 DOI: 10.2217/pme-2021-0174] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Aim: Commercial plan coverage policies for multigene panel tests may vary and could result in geographic variation in coverage due to the fragmented nature of the commercial insurance market. This study aimed to characterize the alignment of multigene panel tests coverage policies to that of clinical guidelines, overall and by state. Materials & methods: We reviewed NCCN Guidelines® for four tumors. Public coverage policies were identified via web search. Payer policies included those with the largest or second largest number of commercial lives in each state. Policies were classified as 'more restrictive' or 'consistent' with the guidelines. Results: Of 38 plans/policies reviewed, 71% were classified as 'more restrictive' than the guidelines, with variation in the number of commercial lives by state. Among these, 52% restricted on panel size and 63% restricted in all or select tumors. Conclusion: Most coverage policies were more restrictive. Clinical guideline clarity and state policies may improve alignment to guidelines and geographic variations.
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Affiliation(s)
- William B Wong
- Health Policy and Systems Research, Genentech, Inc., South San Francisco, CA 94080, USA
| | | | - Chia-Wei Lin
- Evidence for Access, Genentech, Inc., South San Francisco, CA 94080, USA
| | - Devon V Adams
- Policy and Legislative Support, American Cancer Society Cancer Action Network, Washington, DC 20005, USA
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15
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Sheinson DM, Wong WB, Meyer CS, Stergiopoulos S, Lofgren KT, Flores C, Adams DV, Fleury ME. Trends in Use of Next-Generation Sequencing in Patients With Solid Tumors by Race and Ethnicity After Implementation of the Medicare National Coverage Determination. JAMA Netw Open 2021; 4:e2138219. [PMID: 34882180 PMCID: PMC8662372 DOI: 10.1001/jamanetworkopen.2021.38219] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 10/12/2021] [Indexed: 12/23/2022] Open
Abstract
Importance In March 2018, Medicare issued a national coverage determination (NCD) for next-generation sequencing (NGS) to facilitate access to NGS testing among Medicare beneficiaries. It is unknown whether the NCD affected health equity issues for Medicare beneficiaries and the overall population. Objective To examine the association between the Medicare NCD and NGS use by insurance types and race and ethnicity. Design, Setting, and Participants A retrospective cohort analysis was conducted using electronic health record data derived from a real-world database. Data originated from approximately 280 cancer clinics (approximately 800 sites of care) in the US. Patients with advanced non-small cell lung cancer (aNSCLC), metastatic colorectal cancer (mCRC), metastatic breast cancer (mBC), or advanced melanoma diagnosed from January 1, 2011, through March 31, 2020, were included. Exposure Pre- vs post-NCD period. Main Outcomes and Measures Patients were classified by insurance type and race and ethnicity to examine patterns in NGS testing less than or equal to 60 days after diagnosis. Difference-in-differences models examined changes in average NGS testing in the pre- and post-NCD periods by race and ethnicity, and interrupted time-series analysis examined whether trends over time varied by insurance type and race and ethnicity. Results Among 92 687 patients with aNSCLC, mCRC, mBC, or advanced melanoma, mean (SD) age was 66.6 (11.2) years, 51 582 (55.7%) were women, and 63 864 (68.9%) were Medicare beneficiaries. The largest racial and ethnic categories according to the database used and further classification were Black or African American (8605 [9.3%]) and non-Hispanic White (59 806 [64.5%]). Compared with Medicare beneficiaries, changes in pre- to post-NCD NGS testing trends were similar in commercially insured patients (odds ratio [OR], 1.03; 95% CI, 0.98-1.08; P = .25). Pre- to post-NCD NGS testing trends increased at a slower rate among patients in assistance programs (OR, 0.93; 95% CI, 0.87-0.99; P = .03) compared with Medicare beneficiaries. The rate of increase for patients receiving Medicaid was not statistically significantly different compared with those receiving Medicare (OR, 0.92; 95% CI, 0.84-1.01; P = .07). The NCD was not associated with statistically significant changes in NGS use trends by racial and ethnic groups within Medicare beneficiaries alone or across all insurance types. Compared with non-Hispanic White individuals, increases in average NGS use from the pre-NCD to post-NCD period were 14% lower (OR, 0.86; 95% CI, 0.74-0.99; P = .04) among African American and 23% lower (OR, 0.77; 95% CI, 0.62-0.96; P = .02) among Hispanic/Latino individuals; increases among Asian individuals and those with other races and ethnicities were similar. Conclusions and Relevance The findings of this study suggest that expansion of Medicare-covered benefits may not occur equally across insurance types, thereby further widening or maintaining disparities in NGS testing. Additional efforts beyond coverage policies are needed to ensure equitable access to the benefits of precision medicine.
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Affiliation(s)
| | | | | | | | | | | | - Devon V. Adams
- American Cancer Society Cancer Action Network, Washington, DC
| | - Mark E. Fleury
- American Cancer Society Cancer Action Network, Washington, DC
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16
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Worldwide Prevalence of Epidermal Growth Factor Receptor Mutations in Non-Small Cell Lung Cancer: A Meta-Analysis. Mol Diagn Ther 2021; 26:7-18. [PMID: 34813053 PMCID: PMC8766385 DOI: 10.1007/s40291-021-00563-1] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2021] [Indexed: 01/22/2023]
Abstract
Background Identification of variable epidermal growth factor receptor (EGFR) gene mutations in non-small cell lung cancer (NSCLC) is important for the selection of appropriate targeted therapies. This meta-analysis was conducted to provide a worldwide overview of EGFR mutation and submutation (specifically exon 19 deletions, exon 21 L858R substitutions, and others) prevalence, and identify important covariates that influence EGFR mutation status in patients with advanced NSCLC to address this clinical data gap. Methods Embase® and MEDLINE® in Ovid were searched for studies published between 2004 and 2019 with cohorts of ≥ 50 adults with EGFR mutations, focusing on stage III/IV NSCLC (≤ 20% of patients with stage I/II NSCLC). Linear mixed-effects models were fitted to EGFR mutation endpoints using logistic transformation (logit), assuming a binomial distribution. The model included terms for an intercept reflecting European studies and further additive terms for other continents. EGFR submutations examined were exon 19 deletions, exon 21 L858R substitutions, and others. Results Of 3969 abstracts screened, 57 studies were included in the overall EGFR mutation analysis and 74 were included in the submutation analysis relative to the overall EGFR mutation population (Europe, n = 12; Asia, n = 51; North America, n = 5; Central America, n = 1; South America, n = 1; Oceania, n = 1; Global, n = 3). The final overall EGFR mutations model estimated Asian and European prevalence of 49.1% and 12.8%, respectively, and included an additive covariate for the proportion of male patients in a study. There were no significant covariates in the submutation analyses. Most submutations were actionable: exon 19 deletions (49.2% [Asia]; 48.4% [Europe]); exon 21 L858R substitutions (41.1% [Asia]; 29.9% [Europe]). Conclusions Although EGFR mutation prevalence was higher in Asian than Western countries, data support worldwide testing for EGFR overall and submutations to inform appropriate targeted treatment decisions. Supplementary Information The online version contains supplementary material available at 10.1007/s40291-021-00563-1.
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17
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Bernicker EH, Xiao Y, Croix DA, Yang B, Abraham A, Redpath S, Engstrom-Melnyk J, Shah R, Allen TC. Understanding Factors Associated With Anaplastic Lymphoma Kinase Testing Delays in Patients With Non-Small Cell Lung Cancer in a Large Real-World Oncology Database. Arch Pathol Lab Med 2021; 146:975-983. [PMID: 34752598 DOI: 10.5858/arpa.2021-0029-oa] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2021] [Indexed: 11/06/2022]
Abstract
CONTEXT.— With multiple therapeutic options available for patients with advanced non-small cell lung cancer, the timely ordering and return of results to determine therapy are of critical importance. OBJECTIVE.— To assess factors impacting anaplastic lymphoma kinase (ALK) test ordering and time to result delivery. DESIGN.— A retrospective study using a de-identified electronic health record database was performed. Postdiagnosis ALK tests (n = 14 657) were analyzed from 14 197 patients with advanced non-small cell lung cancer diagnosed between January 2015 and May 2019. Time from non-small cell lung cancer diagnosis to ALK sample receipt in the laboratory was a surrogate for test order time. Test ordering was considered delayed if order time was more than 20 days. Turnaround time from sample received to test result was calculated and considered delayed if more than 10 days. Multivariable logistic regression was used to assess factors associated with order time and turnaround time delays. RESULTS.— Median ALK test order time was 15 days, and 36.4% (5342) of all 14 657 orders were delayed. Factors associated with delays were non-fluorescent in situ hybridization testing, send-out laboratories, testing prior to 2018, nonadenocarcinoma histology, and smoking history. Median turnaround time was 9 days, and 40.3% (5906) of all 14 657 test results were delayed. Non-fluorescent in situ hybridization testing, tissue sample, and orders combining ALK with other biomarkers were associated with delayed ALK result reporting. CONCLUSIONS.— This study provides a snapshot of real-world ALK test ordering and reporting time in US community practices. Multiple factors impacted both test ordering time and return of results, revealing opportunities for improvement. It is imperative that patients eligible for targeted therapy be identified in a timely fashion.
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Affiliation(s)
- Eric H Bernicker
- From the Cancer Center, Houston Methodist Hospital, Houston, Texas (Bernicker)
| | - Yan Xiao
- Data Services, Roche Information Solutions, Pleasanton, California (Xiao, Yang, Shah).,Xiao is now at Digital Health, AstraZeneca R&D, Beijing, China
| | - Denise A Croix
- Medical and Scientific Affairs, Roche Diagnostics Corporation, Indianapolis, Indiana (Croix, Redpath, Engstrom-Melnyk)
| | - Baiyu Yang
- Data Services, Roche Information Solutions, Pleasanton, California (Xiao, Yang, Shah)
| | - Anup Abraham
- Evidence Strategy, Genesis Research, Hoboken, New Jersey (Abraham)
| | - Stella Redpath
- Medical and Scientific Affairs, Roche Diagnostics Corporation, Indianapolis, Indiana (Croix, Redpath, Engstrom-Melnyk)
| | - Julia Engstrom-Melnyk
- Medical and Scientific Affairs, Roche Diagnostics Corporation, Indianapolis, Indiana (Croix, Redpath, Engstrom-Melnyk).,Engstrom-Melnyk is now at Medical Diagnostics, AstraZeneca, Gaithersburg, Maryland
| | - Roma Shah
- Data Services, Roche Information Solutions, Pleasanton, California (Xiao, Yang, Shah)
| | - Timothy Craig Allen
- the Department of Pathology, University of Mississippi Medical Center, Jackson (Allen)
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Valla V, Alzabin S, Koukoura A, Lewis A, Nielsen AA, Vassiliadis E. Companion Diagnostics: State of the Art and New Regulations. Biomark Insights 2021; 16:11772719211047763. [PMID: 34658618 PMCID: PMC8512279 DOI: 10.1177/11772719211047763] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 09/02/2021] [Indexed: 11/15/2022] Open
Abstract
Companion diagnostics (CDx) hail promise of improving the drug development
process and precision medicine. However, there are various challenges involved
in the clinical development and regulation of CDx, which are considered
high-risk in vitro diagnostic medical devices given the role they play in
therapeutic decision-making and the complications they may introduce with
respect to their sensitivity and specificity. The European Union (E.U.) is
currently in the process of bringing into effect in vitro Diagnostic Medical
Devices Regulation (IVDR). The new Regulation is introducing a wide range of
stringent requirements for scientific validity, analytical and clinical
performance, as well as on post-market surveillance activities throughout the
lifetime of in vitro diagnostics (IVD). Compliance with General Safety and
Performance Requirements (GSPRs) adopts a risk-based approach, which is also the
case for the new classification system. This changing regulatory framework has
an impact on all stakeholders involved in the IVD Industry, including Authorized
Representatives, Distributors, Importers, Notified Bodies, and Reference
Laboratories and is expected to have a significant effect on the development of
new CDx.
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Affiliation(s)
| | - Saba Alzabin
- Department of Oncological Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Elm Scientific Ltd., London, UK
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Bernicker EH, Xiao Y, Abraham A, Yang B, Croix DA, Redpath S, Engstrom‐Melnyk J, Shah R, Madala J, Allen TC. Adherence to National Comprehensive Cancer Network ALK Testing Guidelines for Patients with Advanced Non-Small Cell Lung Cancer in U.S. Community Medical Centers. Oncologist 2021; 26:e1050-e1057. [PMID: 33823082 PMCID: PMC8176985 DOI: 10.1002/onco.13779] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 03/12/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND National Comprehensive Cancer Network (NCCN) guidelines recommend biomarker testing as the first step in the management of patients with advanced non-small cell lung cancer (aNSCLC). We assessed anaplastic lymphoma kinase (ALK) testing rates and factors related to underuse in community medical systems between 2012 and 2019 to understand guideline adoption. METHODS A retrospective observational study using a nationwide electronic health record (EHR)-derived deidentified database was conducted. Patients with aNSCLC diagnosed in community medical centers from January 2012 to May 2019 were included to describe the ALK testing trend. This cohort was further restricted to patients diagnosed after 2015 to understand factors associated with testing underuse using mixed-effects multivariable logistic regression models. RESULTS Trends for increased ALK testing rates by year were observed in both NCCN guideline-eligible patients (59.5% in 2012 to 84.1% in 2019) and -ineligible patients (15.6% to 50.8%) in a cohort of 41,728 patients. Histology type and smoking status had the greatest impact on test use. Compared with patients with nonsquamous histology and no smoking history, patients with squamous histology and no smoking history (adjusted odds ratio [aOR], 7.6; 95% confidence interval [CI], 5.6-10.4), NSCLC histology not otherwise specified (NOS) with smoking history (aOR, 3.4; 95% CI, 2.8-4.2); NSCLC NOS/nonsmoker (aOR, 1.8; 95% CI, 1.1-3.2), and nonsquamous/smoker (aOR, 1.5; 95% CI, 1.3-1.7) were less likely to be tested. Factors related to underuse also included Eastern Cooperative Oncology Group performance status, stage at initial diagnosis, and demographics. CONCLUSION This analysis of real-world data shows increasing test use by year; however, one fifth of patients eligible for ALK testing still remain untested and potentially missing therapeutic options. IMPLICATIONS FOR PRACTICE Advancement in treatment of lung cancer is accompanied by an increasing number of tests that should be run to determine potential therapy options for each patient. This study assessed adoption of testing recommendations for anaplastic lymphoma kinase rearrangements in a national database. Although test use increased over the time period studied (2012-2019), there is still room for improvement. Efforts are needed to increase test use in undertested groups, thus enabling eligible patients to benefit from novel lung cancer therapies.
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Affiliation(s)
| | - Yan Xiao
- Roche Diagnostics Information SolutionsPleasanton, CaliforniaUSA
- AstraZeneca R&DShanghaiPeople's Republic of China
| | | | - Baiyu Yang
- Roche Diagnostics Information SolutionsPleasanton, CaliforniaUSA
| | | | | | - Julia Engstrom‐Melnyk
- Roche DiagnosticsIndianapolis, IndianaUSA
- AstraZeneca Pharmaceuticals LPGaithersburgMarylandUSA
| | - Roma Shah
- Roche Diagnostics Information SolutionsPleasanton, CaliforniaUSA
| | - Jaya Madala
- Roche Diagnostics Information SolutionsPleasanton, CaliforniaUSA
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Waterhouse DM, Tseng WY, Espirito JL, Robert NJ. Understanding Contemporary Molecular Biomarker Testing Rates and Trends for Metastatic NSCLC Among Community Oncologists. Clin Lung Cancer 2021; 22:e901-e910. [PMID: 34187757 DOI: 10.1016/j.cllc.2021.05.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/17/2021] [Accepted: 05/19/2021] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Although guidelines recommend testing for actionable biomarkers for patients with advanced or metastatic non-small cell lung cancer (NSCLC), testing rates have varied. This study aimed to assess molecular testing patterns in a large network of US community-based oncology practices. METHODS This retrospective observational study examined adult patients with newly diagnosed stage IV NSCLC with ≥ 2 visits in The US Oncology Network from July 1, 2016 to September 30, 2019. Testing patterns were examined using electronic health record structured fields and chart review. Structured data were analyzed for the overall study population (cohort A), and structured and unstructured data were analyzed for a select cohort of 300 patients (cohort B). RESULTS In cohort A (n = 3337), programmed death ligand 1 (37%) was the most frequently tested biomarker documented in structured data, followed by epidermal growth factor receptor (36%), anaplastic lymphoma kinase (35%), ROS1 (20%), and BRAF (16%). According to unstructured data in cohort B (n = 300), epidermal growth factor receptor (80%) was the most frequently tested biomarker, followed by anaplastic lymphoma kinase (79%), programmed death ligand 1 (72%), ROS1 (71%), and BRAF (56%). The proportion of tests ordered prior to first-line (1L) treatment increased from 2016 to 2018 for all biomarkers, as did the proportion of test results available prior to 1L treatment. However, some of the test results became available after 1L or later lines of treatment were in progress. CONCLUSION Our study found increased testing rates over time and decreases in testing turnaround times. However, rates of testing for all biomarkers still need to improve, as does completion of testing prior to initiation of therapy.
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Caplan EO, Wong WB, Ferries E, Hulinsky R, Brown VT, Bordenave K, Suehs BT. Novel Approach Using Administrative Claims to Evaluate Trends in Oncology Multigene Panel Testing for Patients Enrolled in Medicare Advantage Health Plans. JCO Precis Oncol 2021; 5:PO.20.00422. [PMID: 34036226 PMCID: PMC8140791 DOI: 10.1200/po.20.00422] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 03/02/2021] [Accepted: 04/01/2021] [Indexed: 11/20/2022] Open
Abstract
PURPOSE To develop an approach to identify and evaluate recent use of multigene panel testing over time. METHODS We conducted a retrospective database analysis using medical and pharmacy claims data. Medicare Advantage Prescription Drug Plan members diagnosed with select malignant solid tumors were identified. The pattern of somatic genetic testing for each patient was evaluated from January 2016 through December 2018. Tests were classified by the number of genes tested in the panel: < 50 (small or medium) and ≥ 50 (large). RESULTS An initial feasibility study using our novel approach for identifying panel tests resulted in 2.4 and 1.2 times more large and medium panels, respectively, identified compared with using procedure codes alone. A total of 121,675 eligible patients were identified, with 131,915 unique cancer cases. Overall, 5,457 (4.5%) patients received any panel test from 2016 to 2018. We found the number of tests performed each quarter increased from 238 in Q1 of 2016 to 755 in Q4 of 2018. The highest number of cases were genitourinary cancers; however, the highest proportion of cancer-related genetic testing was among patients with respiratory cancer. Across all tumor types, the proportion of large-panel tests performed as a function of all multigene panel tests increased from 20.7% of tests in Q1 of 2016 to 46.4% of tests in Q4 of 2018. The three cancer categories with the highest count of cancer-related panel tests, respiratory cancer, GI cancer, and female reproductive cancer, had a consistently greater proportion receiving a panel test at any point postindex. CONCLUSION Across a variety of cancers, use of somatic, large-panel cancer-related genetic testing, as a proportion of all somatic cancer-related genetic testing, increased from 2016 to 2018, although testing overall was low.
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