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Aye PS, Barnes J, Laking G, Cameron L, Anderson M, Luey B, Delany S, Harris D, McLaren B, Brenman E, Wong J, Lawrenson R, Arendse M, Tin Tin S, Elwood M, Hope P, McKeage MJ. Erlotinib or Gefitinib for Treating Advanced Epidermal Growth Factor Receptor Mutation-Positive Lung Cancer in Aotearoa New Zealand: Protocol for a National Whole-of-Patient-Population Retrospective Cohort Study and Results of a Validation Substudy. JMIR Res Protoc 2024; 13:e51381. [PMID: 38954434 PMCID: PMC11252616 DOI: 10.2196/51381] [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: 09/04/2023] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Starting in 2010, the epidermal growth factor receptor (EGFR) kinase inhibitors erlotinib and gefitinib were introduced into routine use in Aotearoa New Zealand (NZ) for treating advanced lung cancer, but their impact in this setting is unknown. OBJECTIVE The study described in this protocol aims to understand the effectiveness and safety of these new personalized lung cancer treatments and the contributions made by concomitant medicines and other factors to adverse outcomes in the general NZ patient population. A substudy aimed to validate national electronic health databases as the data source and the methods for determining patient eligibility and identifying outcomes and variables. METHODS This study will include all NZ patients with advanced EGFR mutation-positive lung cancer who were first dispensed erlotinib or gefitinib before October 1, 2020, and followed until death or for at least 1 year. Routinely collected health administrative and clinical data will be collated from national electronic cancer registration, hospital discharge, mortality registration, and pharmaceutical dispensing databases by deterministic data linkage using National Health Index numbers. The primary effectiveness and safety outcomes will be time to treatment discontinuation and serious adverse events, respectively. The primary variable will be high-risk concomitant medicines use with erlotinib or gefitinib. For the validation substudy (n=100), data from clinical records were compared to those from national electronic health databases and analyzed by agreement analysis for categorical data and by paired 2-tailed t tests for numerical data. RESULTS In the validation substudy, national electronic health databases and clinical records agreed in determining patient eligibility and for identifying serious adverse events, high-risk concomitant medicines use, and other categorical data with overall agreement and κ statistic of >90% and >0.8000, respectively; for example, for the determination of patient eligibility, the comparison of proxy and standard eligibility criteria applied to national electronic health databases and clinical records, respectively, showed overall agreement and κ statistic of 96% and 0.8936, respectively. Dates for estimating time to treatment discontinuation and other numerical variables and outcomes showed small differences, mostly with nonsignificant P values and 95% CIs overlapping with zero difference; for example, for the dates of the first dispensing of erlotinib or gefitinib, national electronic health databases and clinical records differed on average by approximately 4 days with a nonsignificant P value of .33 and 95% CIs overlapping with zero difference. As of May 2024, the main study is ongoing. CONCLUSIONS A protocol is presented for a national whole-of-patient-population retrospective cohort study designed to describe the safety and effectiveness of erlotinib and gefitinib during their first decade of routine use in NZ for treating EGFR mutation-positive lung cancer. The validation substudy demonstrated the feasibility and validity of using national electronic health databases and the methods for determining patient eligibility and identifying the study outcomes and variables proposed in the study protocol. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12615000998549; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368928. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/51381.
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Affiliation(s)
- Phyu Sin Aye
- Department of Pharmacology and Clinical Pharmacology, University of Auckland, Auckland, New Zealand
| | - Joanne Barnes
- School of Pharmacy, University of Auckland, Auckland, New Zealand
| | - George Laking
- Te Aka Mātauranga Matepukupuku Centre for Cancer Research, University of Auckland, Auckland, New Zealand
| | - Laird Cameron
- Department of Medical Oncology, Te Pūriri o Te Ora Regional Cancer and Blood Service, Te Whatu Ora Health New Zealand, Auckland City Hospital, Auckland, New Zealand
| | - Malcolm Anderson
- Department of Medical Oncology, Te Whatu Ora Health New Zealand Te Pae Hauuora o Ruahine o Tararua, Palmerston North Hospital, Palmerston North, New Zealand
| | - Brendan Luey
- Wellington Blood and Cancer Centre, Te Whatu Ora Health New Zealand Capital, Coast and Hutt Valley, Wellington Hospital, Wellington, New Zealand
| | - Stephen Delany
- Department of Oncology, Te Whatu Ora Health New Zealand Nelson Marlborough, Nelson Hospital, Nelson, New Zealand
| | - Dean Harris
- Oncology Service, Te Whatu Ora - Waitaha Canterbury, Christchurch Hospital, Christchurch, New Zealand
| | - Blair McLaren
- Southern Blood and Cancer Service, Te Whatu Ora Southern, Dunedin Hospital, Dunedin, New Zealand
| | - Elliott Brenman
- Cancer and Haematology Services, Te Whatu Ora Health New Zealand Haora a Toi Bay of Plenty, Tauranga Hospital, Tauranga, New Zealand
| | - Jayden Wong
- Cancer Services, Te Whatu Ora Health New Zealand Waikato, Waikato Hospital, Hamilton, New Zealand
| | - Ross Lawrenson
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
| | - Michael Arendse
- Department of Pathology, Te Whatu Ora Health New Zealand Waikato, Waikato Hospital, Hamilton, New Zealand
| | - Sandar Tin Tin
- Department of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand
| | - Mark Elwood
- Department of Epidemiology and Biostatistics, University of Auckland, Auckland, New Zealand
| | - Philip Hope
- Lung Foundation New Zealand, Manukau, Auckland, New Zealand
| | - Mark James McKeage
- Department of Pharmacology and Clinical Pharmacology, University of Auckland, Auckland, New Zealand
- Department of Medical Oncology, Te Pūriri o Te Ora Regional Cancer and Blood Service, Te Whatu Ora Health New Zealand, Auckland City Hospital, Auckland, New Zealand
- Auckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand
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Laguna JC, García-Pardo M, Alessi J, Barrios C, Singh N, Al-Shamsi HO, Loong H, Ferriol M, Recondo G, Mezquita L. Geographic differences in lung cancer: focus on carcinogens, genetic predisposition, and molecular epidemiology. Ther Adv Med Oncol 2024; 16:17588359241231260. [PMID: 38455708 PMCID: PMC10919138 DOI: 10.1177/17588359241231260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 01/22/2024] [Indexed: 03/09/2024] Open
Abstract
Lung cancer poses a global health challenge and stands as the leading cause of cancer-related deaths worldwide. However, its incidence, mortality, and characteristics are not uniform across all regions worldwide. Understanding the factors contributing to this diversity is crucial in a prevalent disease where most cases are diagnosed in advanced stages. Hence, prevention and early diagnosis emerge as the most efficient strategies to enhance outcomes. In Western societies, tobacco consumption constitutes the primary risk factor for lung cancer, accounting for up to 90% of cases. In other geographic locations, different significant factors play a fundamental role in disease development, such as individual genetic predisposition, or exposure to other carcinogens such as radon gas, environmental pollution, occupational exposures, or specific infectious diseases. Comprehensive clinical and molecular characterization of lung cancer in recent decades has enabled us to distinguish different subtypes of lung cancer with distinct phenotypes, genotypes, immunogenicity, treatment responses, and survival rates. The ultimate goal is to prevent and individualize lung cancer management in each community and improve patient outcomes.
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Affiliation(s)
- Juan Carlos Laguna
- Medical Oncology Department, Hospital Clinic of Barcelona, Barcelona, Spain
- Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Miguel García-Pardo
- Department of Medical Oncology, Hospital Universitario Ramón y Cajal, Madrid, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Joao Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute
| | - Carlos Barrios
- School of Medicine, Porto Alegre, Rio Grande do Sul, Brazil
| | - Navneet Singh
- Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | | | - Herbert Loong
- Department of Clinical Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Miquel Ferriol
- Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
- Barcelona Neural Networking Center, Universitat Politècnica de Catalunya, Barcelona, Spain
| | | | - Laura Mezquita
- Medical Oncology Department, Hospital Clinic of Barcelona, Calle Villarroel 170, Barcelona 08036, Spain
- Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
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3
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Sant M, Daidone C, Innos K, Marcos-Gragera R, Vanschoenbeek K, Barranco MR, Poch EO, Lillini R. Patterns of care and survival for lung cancer: Results of the European population-based high-resolution study. FRONTIERS IN EPIDEMIOLOGY 2023; 3:1109853. [PMID: 38455923 PMCID: PMC10910949 DOI: 10.3389/fepid.2023.1109853] [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: 11/28/2022] [Accepted: 02/08/2023] [Indexed: 03/09/2024]
Abstract
Objectives To investigate differences in lung cancer (LC) management and survival using data from European population cancer registries. Methods We analysed 4,602 lung cancer cases diagnosed in 2010-2013, followed-up to 2019 in five countries. Multivariable logistic regression was used to calculate the Odds Ratio (OR) of surgery for stages I-II LC or chemo- or radiotherapy for stages III-IV LC. Relative survival (RS) was estimated by the actuarial method; Relative Excess Risk of death (RER), with 95% CI, was calculated by generalized linear models. Results Diagnostic work-up was extensive for 65.9% patients (range 57%, Estonia, Portugal - 85% (Belgium). Sixty-six percent of stages I-II patients underwent surgery; compared to non-operated, their adjusted OR decreased with age and was associated with main bronchus cancer (OR vs. lobes 0.25, CI, 0.08-0.82), stage II (OR vs. stage I: 0.42, CI, 0.29-0.60), comorbidity (OR vs. absent: 0.55, CI, 0.33-0.93), country (ORs: Estonia 1.82, CI, 1.28-2.60; Belgium 0.62, CI, 0.42-0.91; Portugal 0.69, CI, 0.52-0.93).Almost half of stages III-IV patients received chemo- or radiotherapy only; the adjusted OR vs. non receiving decreased with age and was associated with unspecified cancer topography or morphology. The adjusted five-year RER increased with age and stage and was lower for women (0.78, CI, 0.72-0.86), above the reference for main bronchus cancer (1.37, CI, 1.21-1.54) and unspecified morphology (1.17, CI, 1.05-1.30). Surgery carried the lowest mortality (RS 56.9; RER 0.13, CI, 0.11-0.15) with RER above the mean in Estonia (1.20, CI, 1.10-1.30), below it in Portugal (0.88, CI, 0.82-0.93) and Switzerland (0.91, CI, 0.84-0.99). Comorbidity (1.21, CI, 1.09-1.35) and not smoking (0.68, CI, 0.57-0.81) were associated with RER. Conclusions The survival benefit of early diagnosis, allowing curative surgery, was evident at the population level. Screening for subjects at risk and adhesion to standard care should be incremented across the EU by funding better equipment and training health personnel.
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Affiliation(s)
- Milena Sant
- Analytical Epidemiology and Health Impact Unit, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Caterina Daidone
- Analytical Epidemiology and Health Impact Unit, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Kaire Innos
- Department of Epidemiology and Biostatistics, National Institute for Health Development, Tallinn, Estonia
| | - Rafael Marcos-Gragera
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology (ICO), Girona, Spain
- Biomedical Research Institute (IdiBGi), Girona, Spain
| | | | - Miguel Rodriguez Barranco
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Granada Cancer Registry, Granada, Spain
- Andalusian School of Public Health (EASP), Granada, Spain
| | - Ester Oliva Poch
- Descriptive Epidemiology, Genetics and Cancer Prevention Group, Biomedical Research Institute (IDIBGI), Girona, Spain
- Girona Cancer Registry, Girona, Spain
- Radiation Oncology Department, Catalan Institute of Oncology Hospital Trueta, Girona, Spain
| | - Roberto Lillini
- Analytical Epidemiology and Health Impact Unit, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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Serna-Blasco R, Sánchez-Herrero E, Robado de Lope L, Sanz-Moreno S, Rodríguez-Festa A, Ares-Trotta D, Cruz-Bermúdez A, Franco F, Sánchez-Hernández A, Campayo MDJ, García-Girón C, Dómine M, Blasco A, Sánchez JM, Oramas J, Bosch-Barrera J, Sala MÁ, Sereno M, Romero A, Provencio M. Molecular Divergence upon EGFR-TKI Resistance Could Be Dependent on the Exon Location of the Original EGFR-Sensitizing Mutation. Cancers (Basel) 2022; 14:4446. [PMID: 36139605 PMCID: PMC9496947 DOI: 10.3390/cancers14184446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 11/17/2022] Open
Abstract
Tumor molecular profiling upon disease progression enables investigations of the tumor evolution. Next-generation sequencing (NGS) of liquid biopsies constitutes a noninvasive readily available source of tumor molecular information. In this study, 124 plasma samples from advanced EGFR-positive NSCLC patients, treated with a first-line EGFR tyrosine kinase inhibitor (EGFR-TKI) were collected upon disease progression. The circulating cell-free DNA (cfDNA) was sequenced using the Oncomine Pan-Cancer Cell-Free Assay™. Excluding EGFR mutations, the most frequently mutated gene was TP53 (57.3%), followed by APC (11.3%), FGFR3 (7.3%), and KRAS (5.6%). Different molecular alterations were observed upon disease progression depending on the location of the original EGFR-sensitizing mutation. Specifically, the detection of the p.T790M mutation was significantly associated with the presence of exon 19 mutations in EGFR (Fisher p-value: 0.028). All KRAS activating mutations (n = 8) were detected in tumors with EGFR mutations in exons 18 and 21 (Fisher p-value < 0.001). Similarly, mutations in NRAS and HRAS were more frequently detected in samples from tumors harboring mutations in exons 18 or 21 (Fisher p-value: 0.050 and Fisher p-value: 0.099, respectively). In conclusion, our data suggest that the mechanisms underlying EGFR-TKI resistance could be dependent on the exon location of the original EGFR-sensitizing mutation.
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Affiliation(s)
- Roberto Serna-Blasco
- Liquid Biopsy Laboratory, Instituto de Investigación Sanitaria Hospital Puerta de Hierro—Segovia de Arana, 28222 Madrid, Spain
| | - Estela Sánchez-Herrero
- Liquid Biopsy Laboratory, Instituto de Investigación Sanitaria Hospital Puerta de Hierro—Segovia de Arana, 28222 Madrid, Spain
- I+D Department, Atrys Health, 08025 Barcelona, Spain
| | - Lucía Robado de Lope
- Liquid Biopsy Laboratory, Instituto de Investigación Sanitaria Hospital Puerta de Hierro—Segovia de Arana, 28222 Madrid, Spain
| | - Sandra Sanz-Moreno
- Liquid Biopsy Laboratory, Instituto de Investigación Sanitaria Hospital Puerta de Hierro—Segovia de Arana, 28222 Madrid, Spain
| | - Alejandro Rodríguez-Festa
- Liquid Biopsy Laboratory, Instituto de Investigación Sanitaria Hospital Puerta de Hierro—Segovia de Arana, 28222 Madrid, Spain
| | - Dunixe Ares-Trotta
- Liquid Biopsy Laboratory, Instituto de Investigación Sanitaria Hospital Puerta de Hierro—Segovia de Arana, 28222 Madrid, Spain
| | - Alberto Cruz-Bermúdez
- Liquid Biopsy Laboratory, Instituto de Investigación Sanitaria Hospital Puerta de Hierro—Segovia de Arana, 28222 Madrid, Spain
| | - Fabio Franco
- Medical Oncology, Hospital Puerta de Hierro, 28222 Majadahonda, Spain
| | | | - María de Julián Campayo
- Medical Oncology, Hospital Provincial Centre de Castelló, 120002 Castellón de La Plana, Spain
| | | | - Manuel Dómine
- Medical Oncology, Fundación Jiménez Díaz, 28040 Madrid, Spain
| | - Ana Blasco
- Medical Oncology, Hospital General Universitario Valencia, 46014 Valencia, Spain
| | - José M. Sánchez
- Medical Oncology, Hospital de La Princesa, 28006 Madrid, Spain
| | - Juana Oramas
- Medical Oncology, Hospital Universitario de Canarias, 38320 La Laguna, Spain
| | | | - María Á. Sala
- Medical Oncology, Hospital Basurto, 48013 Bilbao, Spain
| | - María Sereno
- Medical Oncology, Hospital Universitario Infanta Sofía, 28703 San Sebastián de Los Reyes, Spain
| | - Atocha Romero
- Liquid Biopsy Laboratory, Instituto de Investigación Sanitaria Hospital Puerta de Hierro—Segovia de Arana, 28222 Madrid, Spain
- Medical Oncology, Hospital Puerta de Hierro, 28222 Majadahonda, Spain
| | - Mariano Provencio
- Medical Oncology, Hospital Puerta de Hierro, 28222 Majadahonda, Spain
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Li Y, Sharma A, Wu X, Weiher H, Skowasch D, Essler M, Schmidt-Wolf IGH. A Combination of Cytokine-Induced Killer Cells With PD-1 Blockade and ALK Inhibitor Showed Substantial Intrinsic Variability Across Non-Small Cell Lung Cancer Cell Lines. Front Oncol 2022; 12:713476. [PMID: 35646685 PMCID: PMC9130779 DOI: 10.3389/fonc.2022.713476] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 03/31/2022] [Indexed: 11/23/2022] Open
Abstract
Background Cancer heterogeneity poses a serious challenge concerning the toxicity and adverse effects of therapeutic inhibitors, especially when it comes to combinatorial therapies that involve multiple targeted inhibitors. In particular, in non-small cell lung cancer (NSCLC), a number of studies have reported synergistic effects of drug combinations in the preclinical models, while they were only partially successful in the clinical setup, suggesting those alternative clinical strategies (with genetic background and immune response) should be considered. Herein, we investigated the antitumor effect of cytokine-induced killer (CIK) cells in combination with ALK and PD-1 inhibitors in vitro on genetically variable NSCLC cell lines. Methods We co-cultured the three genetically different NSCLC cell lines NCI-H2228 (EML4-ALK), A549 (KRAS mutation), and HCC-78 (ROS1 rearrangement) with and without nivolumab (PD-1 inhibitor) and crizotinib (ALK inhibitor). Additionally, we profiled the variability of surface expression multiple immune checkpoints, the concentration of absolute dead cells, intracellular granzyme B on CIK cells using flow cytometry as well as RT-qPCR. ELISA and Western blot were performed to verify the activation of CIK cells. Results Our analysis showed that (a) nivolumab significantly weakened PD-1 surface expression on CIK cells without impacting other immune checkpoints or PD-1 mRNA expression, (b) this combination strategy showed an effective response on cell viability, IFN-γ production, and intracellular release of granzyme B in CD3+ CD56+ CIK cells, but solely in NCI-H2228, (c) the intrinsic expression of Fas ligand (FasL) as a T-cell activation marker in CIK cells was upregulated by this additive effect, and (d) nivolumab induced Foxp3 expression in CD4+CD25+ subpopulation of CIK cells significantly increased. Taken together, we could show that CIK cells in combination with crizotinib and nivolumab can enhance the anti-tumor immune response through FasL activation, leading to increased IFN-γ and granzyme B, but only in NCI-H2228 cells with EML4-ALK rearrangement. Therefore, we hypothesize that CIK therapy may be a potential alternative in NSCLC patients harboring EML4-ALK rearrangement, in addition, we support the idea that combination therapies offer significant potential when they are optimized on a patient-by-patient basis.
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Affiliation(s)
- Yutao Li
- Department of Integrated Oncology, Center for Integrated Oncology (CIO) Bonn, University Hospital Bonn, Bonn, Germany
| | - Amit Sharma
- Department of Integrated Oncology, Center for Integrated Oncology (CIO) Bonn, University Hospital Bonn, Bonn, Germany.,Department of Neurosurgery, University Hospital Bonn, Bonn, Germany
| | - Xiaolong Wu
- Department of Integrated Oncology, Center for Integrated Oncology (CIO) Bonn, University Hospital Bonn, Bonn, Germany
| | - Hans Weiher
- Department of Applied Natural Sciences, Bonn-Rhein-Sieg University of Applied Sciences, Rheinbach, Germany
| | - Dirk Skowasch
- Department of Internal Medicine II, Cardiology, Pneumology and Angiology, University Hospital Bonn, Bonn, Germany
| | - Markus Essler
- Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
| | - Ingo G H Schmidt-Wolf
- Department of Integrated Oncology, Center for Integrated Oncology (CIO) Bonn, University Hospital Bonn, Bonn, Germany
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Poudel B, Desman J, Aihara G, Weidman DI, Tsang A, Kovrizhkin K, Pereira T, Arun S, Pradeep T, Matin S, Liddell RP. Adequacy of samples obtained via percutaneous core-needle rebiopsy for EGFR T790M molecular analysis in patients with non-small cell lung cancer following acquired resistance to first-line therapy: A systematic review and meta-analysis. Cancer Treat Res Commun 2021; 29:100470. [PMID: 34628209 DOI: 10.1016/j.ctarc.2021.100470] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/23/2021] [Accepted: 09/26/2021] [Indexed: 12/23/2022]
Abstract
MICRO ABSTRACT Rebiopsies characterizing resistance mutations in patients with non-small cell lung cancer (NSCLC) can guide personalized medicine and improve overall survival rates. In this systematic review, we examine the suitability of percutaneous core-needle biopsy (PT-CNB) to obtain adequate samples for molecular characterization of the acquired resistance mutation T790M. This review provides evidence that PT-CNB can obtain samples with high adequacy, with a mutation detection rate that is in accordance with prior literature. BACKGROUND Non-small cell lung cancer (NSCLC) comprises 85% of all lung cancers and has seen improved survival rates with the rise of personalized medicine. Resistance mutations to first-line therapies, such as T790M, however, render first-line therapies ineffective. Rebiopsies characterizing resistance mutations inform therapeutic decisions, which result in prolonged survival. Given the high efficacy of percutaneous core-needle biopsy (PT-CNB), we conducted the first systematic review to analyze the ability of PT-CNB to obtain samples of high adequacy in order to characterize the acquired resistance mutation T790M in patients with NSCLC. METHODS We performed a comprehensive literature search across PubMed, Embase, and CENTRAL. Search terms related to "NSCLC," "rebiopsy," and "PT-CNB" were used to obtain results. We included all prospective and retrospective studies that satisfied our inclusion and exclusion criteria. A random effects model was utilized to pool adequacy and detection rates of the chosen articles. We performed a systematic review, meta-analysis, and meta-regression to investigate the adequacy and T790M detection rates of samples obtained via PT-CNB. RESULTS Out of the 173 studies initially identified, 5 studies met the inclusion and exclusion criteria and were chosen for our final cohort of 436 patients for meta-analysis. The pooled adequacy rate of samples obtained via PT-CNB was 86.92% (95% CI: [79.31%, 92.0%]) and the pooled T790M detection rate was 46.0% (95% CI: [26.6%, 66.7%]). There was considerable heterogeneity among studies (I2 > 50%) in both adequacy and T790M detection rates. CONCLUSION PT-CNB can obtain adequate samples for T790M molecular characterization in NSCLC lung cancer patients. Additional prospective studies are needed to corroborate the results in this review.
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Affiliation(s)
- Bibhav Poudel
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Jacob Desman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Gohta Aihara
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Deborah I Weidman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Ashley Tsang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Katherine Kovrizhkin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Tatiana Pereira
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Siddharth Arun
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Tejus Pradeep
- Department of Ophthalmology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States of America
| | - Shababa Matin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Robert P Liddell
- Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, MD, United States of America.
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