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Yang Y, Xu L, Sun L, Zhang P, Farid SS. Machine learning application in personalised lung cancer recurrence and survivability prediction. Comput Struct Biotechnol J 2022; 20:1811-1820. [PMID: 35521553 PMCID: PMC9043969 DOI: 10.1016/j.csbj.2022.03.035] [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: 08/24/2021] [Revised: 03/30/2022] [Accepted: 03/30/2022] [Indexed: 12/24/2022] Open
Abstract
Machine learning is an important artificial intelligence technique that is widely applied in cancer diagnosis and detection. More recently, with the rise of personalised and precision medicine, there is a growing trend towards machine learning applications for prognosis prediction. However, to date, building reliable prediction models of cancer outcomes in everyday clinical practice is still a hurdle. In this work, we integrate genomic, clinical and demographic data of lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) patients from The Cancer Genome Atlas (TCGA) and introduce copy number variation (CNV) and mutation information of 15 selected genes to generate predictive models for recurrence and survivability. We compare the accuracy and benefits of three well-established machine learning algorithms: decision tree methods, neural networks and support vector machines. Although the accuracy of predictive models using the decision tree method has no significant advantage, the tree models reveal the most important predictors among genomic information (e.g. KRAS, EGFR, TP53), clinical status (e.g. TNM stage and radiotherapy) and demographics (e.g. age and gender) and how they influence the prediction of recurrence and survivability for both early stage LUAD and LUSC. The machine learning models have the potential to help clinicians to make personalised decisions on aspects such as follow-up timeline and to assist with personalised planning of future social care needs.
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Key Words
- ANNs, artificial neural networks
- ANOVA, analysis of variance
- AUC, the area under the ROC curve
- CART, classification and regression tree
- CNV, copy number variation
- DTs, decision trees
- Decision tree
- FFNN, Feedforward neural networks
- LS-SVM, least-squares support vector machine
- LUAD, lung adenocarcinoma
- LUSC, lung squamous cell carcinoma
- Lung cancer
- ML, machine learning
- Machine learning
- NSCLC, non-small cell lung cancer
- Personalized diagnosis and prognosis
- ROC, receiver operating characteristic
- SVMs, support vector machines
- TCGA, The Cancer Genome Atlas
- TNM, a common cancer staging system while T, N and M refers to tumour, node and metastasis
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Affiliation(s)
- Yang Yang
- Department of Biochemical Engineering, University College London, Gower Street, London WC1E 6BT, UK
| | - Li Xu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200043, China
| | - Liangdong Sun
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200043, China
| | - Peng Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200043, China
| | - Suzanne S. Farid
- Department of Biochemical Engineering, University College London, Gower Street, London WC1E 6BT, UK
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2
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Canberk S, Engels M. Cytology samples and molecular biomarker testing in lung cancer-advantages and challenges. Virchows Arch 2021; 478:45-57. [PMID: 33389149 DOI: 10.1007/s00428-020-02995-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 12/08/2020] [Accepted: 12/14/2020] [Indexed: 02/07/2023]
Abstract
This review presents an overview on molecular diagnostic in lung cancer using cytologic samples. Every patient with advanced non-small cell lung cancer (NSCLC) should be tested for targetable driver mutations and gene arrangements. If a mutation is found, this may open an option for targeted therapy. As most of the NSCLC patients in advanced stage of disease are no candidates for surgery, these tests have to be performed on small biopsies or cytology samples. The most common and treatable gene alterations should be tested in every patient: EGFR, ALK, ROS1. A growing number of other genetic changes with targetable mutations may become treatable in the near future. To find patients who might profit from inclusion into clinical studies, relevant additional markers may be tested in an appropriate context. Another important approach for treatment is immunotherapy of lung cancer, which is guided by status of PD-L1 expression on tumour cells. The use of cytology samples carries considerable advantages: often, DNA of high quality is extracted thus enabling easy and precise analysis, and samples may be easily obtained. In case of effusions, effusion fluid seldom is not aspirated for immediate patient relief, so no additional dedicated procedure is needed. Some challenges exist: If the tumour cell count is low, mutations with a low allelic frequency may be missed. In cellblocks formalin-induced DNA, damage may obviate any DNA analysis. In very cellular smears, FISH may be impossible due to massive overlapping of nuclei. Autofluorescence may impede FISH analysis. Although there is no real universal test for genomic profiling for lung cancer, the pathology laboratory must be prepared to offer different assays on different specimens in order to address turnaround time and optimise detections of difficult tumour alterations such as gene fusions. The data from the literature demonstrate that cytology show consistent results, and it is a good alternative for lung cancer molecular testing.
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Affiliation(s)
- Sule Canberk
- Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Rua Alfredo Allen, 208 4200-135, Porto, Portugal. .,Institute of Molecular Pathology and Immunology of the University of Porto (Ipatimup), Rua Júlio Amaral de Carvalho 45, 4200-135, Porto, Portugal. .,Abel Salazar Biomedical Sciences Institute (ICBAS), University of Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313, Porto, Portugal.
| | - Marianne Engels
- Institute of Pathology, University Hospital Cologne, Kerpener Str. 62,, 50924, Köln, Germany
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3
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Malapelle U, Rossi G, Pisapia P, Barberis M, Buttitta F, Castiglione F, Cecere FL, Grimaldi AM, Iaccarino A, Marchetti A, Massi D, Medicina D, Mele F, Minari R, Orlando E, Pagni F, Palmieri G, Righi L, Russo A, Tommasi S, Vermi W, Troncone G. BRAF as a positive predictive biomarker: Focus on lung cancer and melanoma patients. Crit Rev Oncol Hematol 2020; 156:103118. [PMID: 33038627 DOI: 10.1016/j.critrevonc.2020.103118] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 09/25/2020] [Accepted: 09/28/2020] [Indexed: 02/06/2023] Open
Abstract
In the era of personalized medicine, BRAF mutational assessment is mandatory in advanced-stage melanoma and non-small cell lung cancer (NSCLC) patients. The identification of actionable mutations is crucial for the adequate management of these patients. To date various drugs have been implemented in clinical practice. Similarly, various methods may be adopted for the identification of BRAF mutations. Here, we briefly review the current literature on BRAF in melanoma and NSCLC, focusing attention in particular on the different methods and drugs adopted in these patients. In addition, an overview of the real-world practice in different Italian laboratories with high expertise in molecular predictive pathology testing is provided.
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Affiliation(s)
- Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Giulio Rossi
- Pathology Unit, Azienda USL Romagna, St. Maria delle Croci Hospital, Ravenna, Italy
| | - Pasquale Pisapia
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Massimo Barberis
- Unit of Histopathology and Molecular Diagnostics, European Institute of Oncology IRCCS, Milano, Italy
| | - Fiamma Buttitta
- Center for Advanced Studies and Technology (CAST) - Department of Medical, Oral and Biotechnological Sciences, University of Chieti, Italy
| | - Francesca Castiglione
- Section of Anatomic Pathology, Department of Health Sciences, University of Florence, Florence, Italy
| | | | - Antonio Maria Grimaldi
- Unit of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy
| | - Antonino Iaccarino
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Antonio Marchetti
- Center for Advanced Studies and Technology (CAST) - Department of Medical, Oral and Biotechnological Sciences, University of Chieti, Italy
| | - Daniela Massi
- Section of Anatomic Pathology, Department of Health Sciences, University of Florence, Florence, Italy
| | - Daniela Medicina
- Section of Pathology, Asst Spedali Civili di Brescia, Brescia, Italy
| | - Fabio Mele
- Pathology Department, IRCCS-Istituto Tumori 'Giovanni Paolo II', Bari, Italy
| | - Roberta Minari
- Medical Oncology Unit, University Hospital of Parma, Parma, Italy
| | - Elisabetta Orlando
- Department of Health Promotion, Mother and Child care, Internal Medicine and Medical Specialties (ProMISE), Unit of Anatomic Pathology, University of Palermo, Palermo, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, Pathology, University Milan Bicocca, Milan, Italy
| | - Giuseppe Palmieri
- Unit of Cancer Genetics, Institute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), Sassari, Italy
| | - Luisella Righi
- Department of Oncology, San Luigi Hospital, University of Turin, Turin, Italy
| | | | - Stefania Tommasi
- Pathology Department, IRCCS-Istituto Tumori 'Giovanni Paolo II', Bari, Italy
| | - William Vermi
- Section of Pathology, Asst Spedali Civili di Brescia, Brescia, Italy
| | - Giancarlo Troncone
- Department of Public Health, University of Naples Federico II, Naples, Italy.
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4
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Jing C, Mao X, Wang Z, Sun K, Ma R, Wu J, Cao H. Next‑generation sequencing‑based detection of EGFR, KRAS, BRAF, NRAS, PIK3CA, Her‑2 and TP53 mutations in patients with non‑small cell lung cancer. Mol Med Rep 2018; 18:2191-2197. [PMID: 29956783 PMCID: PMC6072231 DOI: 10.3892/mmr.2018.9210] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 06/14/2018] [Indexed: 01/07/2023] Open
Abstract
In recent years, the incidence of non‑small cell lung cancer (NSCLC) has become the highest lethal rate of cancer worldwide. Molecular assays of EGFR, KRAS, BRAF, NRAS, PIK3CA and Her‑2 are widely used to guide individualized treatment in NSCLC patients. Somatic mutations in 112 NSCLC patients, including 7 oncogenic driver genes, were detected by Iontorrent personal genome machine (PGM). Sanger sequencing was used to test and verify the results of PGM. Apart from uncommon mutations of EGFR, 101 NSCLC specimens were tested by droplet digital PCR (ddPCR). According to NGS results, mutations were detected in EGFR (58/112, 51.79% of tumors), KRAS (10/112, 8.93%), BRAF (2/112, 1.79%), NRAS (2/112, 1.79%), Her‑2 (2/112, 1.79%), PIK3CA (6/112, 5.36%) and TP53 (31/112, 27.69%). There were 27 samples without any somatic mutations in all genes while 24 samples harboured mutations in two or more genes. A total of 61 samples had one or more mutations in a single gene. All alterations of 7 genes were presented and the overall detection rate of NGS and Sanger sequencing was determined to be 51.79% (58/112) and 37.50% (42/112), respectively (χ2=5.88, P=0.015). Compared with Sanger sequencing, the total sensitivity and specificity of NGS assays was 95.24% (40/42) and 77.14% (54/70), respectively. The overall detection rate of NGS and ddPCR was 45.54% (46/101) and 47.52% (48/101), respectively (χ2=0.000598, P=0.98). Compared with ddPCR, the overall sensitivity and specificity of NGS assays was 95.83% (46/48) and 98.11% (52/53), respectively. The findings indicated that the positive mutation rate of EGFR tested by NGS was significantly lower than that by Sanger sequencing, but the difference between ddPCR and NGS was not statistically significant. The high degree of agreement of reportable variants is proposed in both NGS and ddPCR analysis, suggesting the performance of NGS assays in routine clinical detection may be useful in determining the treatment decisions in NSCLC patients.
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Affiliation(s)
- Changwen Jing
- Clinical Cancer Research Center, Jiangsu Cancer Hospital and Cancer Institute of Jiangsu Province and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, P.R. China
| | - Xuhua Mao
- Clinical Laboratory, Yixing People's Hospital, Yixing, Jiangsu 214200, P.R. China
| | - Zhuo Wang
- Clinical Cancer Research Center, Jiangsu Cancer Hospital and Cancer Institute of Jiangsu Province and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, P.R. China
| | - Kejing Sun
- Genesmile Company, Nanjing, Jiangsu 210009, P.R. China
| | - Rong Ma
- Clinical Cancer Research Center, Jiangsu Cancer Hospital and Cancer Institute of Jiangsu Province and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, P.R. China
| | - Jianzhong Wu
- Clinical Cancer Research Center, Jiangsu Cancer Hospital and Cancer Institute of Jiangsu Province and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, P.R. China
| | - Haixia Cao
- Clinical Cancer Research Center, Jiangsu Cancer Hospital and Cancer Institute of Jiangsu Province and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, P.R. China
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5
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Lindeman NI, Cagle PT, Aisner DL, Arcila ME, Beasley MB, Bernicker EH, Colasacco C, Dacic S, Hirsch FR, Kerr K, Kwiatkowski DJ, Ladanyi M, Nowak JA, Sholl L, Temple-Smolkin R, Solomon B, Souter LH, Thunnissen E, Tsao MS, Ventura CB, Wynes MW, Yatabe Y. Updated Molecular Testing Guideline for the Selection of Lung Cancer Patients for Treatment With Targeted Tyrosine Kinase Inhibitors: Guideline From the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology. Arch Pathol Lab Med 2018; 142:321-346. [PMID: 29355391 DOI: 10.5858/arpa.2017-0388-cp] [Citation(s) in RCA: 515] [Impact Index Per Article: 85.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
CONTEXT - In 2013, an evidence-based guideline was published by the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology to set standards for the molecular analysis of lung cancers to guide treatment decisions with targeted inhibitors. New evidence has prompted an evaluation of additional laboratory technologies, targetable genes, patient populations, and tumor types for testing. OBJECTIVE - To systematically review and update the 2013 guideline to affirm its validity; to assess the evidence of new genetic discoveries, technologies, and therapies; and to issue an evidence-based update. DESIGN - The College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology convened an expert panel to develop an evidence-based guideline to help define the key questions and literature search terms, review abstracts and full articles, and draft recommendations. RESULTS - Eighteen new recommendations were drafted. The panel also updated 3 recommendations from the 2013 guideline. CONCLUSIONS - The 2013 guideline was largely reaffirmed with updated recommendations to allow testing of cytology samples, require improved assay sensitivity, and recommend against the use of immunohistochemistry for EGFR testing. Key new recommendations include ROS1 testing for all adenocarcinoma patients; the inclusion of additional genes ( ERBB2, MET, BRAF, KRAS, and RET) for laboratories that perform next-generation sequencing panels; immunohistochemistry as an alternative to fluorescence in situ hybridization for ALK and/or ROS1 testing; use of 5% sensitivity assays for EGFR T790M mutations in patients with secondary resistance to EGFR inhibitors; and the use of cell-free DNA to "rule in" targetable mutations when tissue is limited or hard to obtain.
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Affiliation(s)
- Neal I Lindeman
- From the Departments of Pathology (Drs Lindeman and Sholl) and Medicine (Dr Kwiatkowski), Brigham and Women's Hospital, Boston, Massachusetts; the Cancer Center (Dr Bernicker) and the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Dr Cagle); the Department of Pathology, University of Colorado School of Medicine, Denver (Dr Aisner); the Diagnostic and Molecular Pathology Laboratory (Dr Arcila) and the Molecular Diagnostics Service (Dr Ladanyi), Memorial Sloan Kettering Cancer Center, New York, New York; the Department of Pathology & Medicine, Pulmonary, Critical Care and Sleep Medicine, New York, New York (Dr Beasley); the Pathology and Laboratory Quality Center, College of American Pathologists, Northfield, Illinois (Mss Colasacco and Ventura); the Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania (Dr Dacic); the Department of Medicine and Pathology, University of Colorado, Denver (Dr Hirsch); the Department of Pathology, University of Aberdeen, Aberdeen, Scotland (Dr Kerr); the Department of Molecular Pathology, Roswell Park Cancer Institute, Buffalo, New York (Dr Nowak); the Clinical and Scientific Affairs Division, Association for Molecular Pathology, Bethesda, Maryland (Dr Temple-Smolkin); the Molecular Therapeutics and Biomarkers Laboratory, Peter Maccallum Cancer Center, Melbourne, Australia (Dr Solomon); the Department of Pathology, VU University Medical Center, Amsterdam, the Netherlands (Dr Thunnissen); the Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Center, Toronto, Ontario, Canada (Dr Tsao); Scientific Affairs, International Association for the Study of Lung Cancer, Aurora, Colorado (Dr Wynes); and the Department of Pathology and Molecular Diagnostics, Aichi Cancer Center, Nagoya, Japan (Dr Yatabe). Dr Souter is in private practice in Wellanport, Ontario, Canada
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6
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Lindeman NI, Cagle PT, Aisner DL, Arcila ME, Beasley MB, Bernicker EH, Colasacco C, Dacic S, Hirsch FR, Kerr K, Kwiatkowski DJ, Ladanyi M, Nowak JA, Sholl L, Temple-Smolkin R, Solomon B, Souter LH, Thunnissen E, Tsao MS, Ventura CB, Wynes MW, Yatabe Y. Updated Molecular Testing Guideline for the Selection of Lung Cancer Patients for Treatment With Targeted Tyrosine Kinase Inhibitors: Guideline From the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology. J Thorac Oncol 2018; 13:323-358. [PMID: 29396253 DOI: 10.1016/j.jtho.2017.12.001] [Citation(s) in RCA: 333] [Impact Index Per Article: 55.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2017] [Indexed: 12/15/2022]
Abstract
CONTEXT In 2013, an evidence-based guideline was published by the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology to set standards for the molecular analysis of lung cancers to guide treatment decisions with targeted inhibitors. New evidence has prompted an evaluation of additional laboratory technologies, targetable genes, patient populations, and tumor types for testing. OBJECTIVE To systematically review and update the 2013 guideline to affirm its validity; to assess the evidence of new genetic discoveries, technologies, and therapies; and to issue an evidence-based update. DESIGN The College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology convened an expert panel to develop an evidence-based guideline to help define the key questions and literature search terms, review abstracts and full articles, and draft recommendations. RESULTS Eighteen new recommendations were drafted. The panel also updated 3 recommendations from the 2013 guideline. CONCLUSIONS The 2013 guideline was largely reaffirmed with updated recommendations to allow testing of cytology samples, require improved assay sensitivity, and recommend against the use of immunohistochemistry for EGFR testing. Key new recommendations include ROS1 testing for all adenocarcinoma patients; the inclusion of additional genes (ERBB2, MET, BRAF, KRAS, and RET) for laboratories that perform next-generation sequencing panels; immunohistochemistry as an alternative to fluorescence in situ hybridization for ALK and/or ROS1 testing; use of 5% sensitivity assays for EGFR T790M mutations in patients with secondary resistance to EGFR inhibitors; and the use of cell-free DNA to "rule in" targetable mutations when tissue is limited or hard to obtain.
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Affiliation(s)
- Neal I Lindeman
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
| | - Philip T Cagle
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Dara L Aisner
- Department of Pathology, University of Colorado School of Medicine, Denver, New York
| | - Maria E Arcila
- Diagnostic and Molecular Pathology Laboratory, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mary Beth Beasley
- Department of Pathology & Medicine, Pulmonary, Critical Care and Sleep Medicine, New York, New York
| | | | - Carol Colasacco
- Pathology and Laboratory Quality Center, College of American Pathologists, Northfield, Illinois
| | - Sanja Dacic
- Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Fred R Hirsch
- Department of Medicine and Pathology, University of Colorado, Denver, New York
| | - Keith Kerr
- Department of Pathology, University of Aberdeen, Aberdeen, Scotland
| | | | - Marc Ladanyi
- Molecular Diagnostics Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jan A Nowak
- Department of Molecular Pathology, Roswell Park Cancer Institute, Buffalo, New York
| | - Lynette Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Robyn Temple-Smolkin
- Clinical and Scientific Affairs Division, Association for Molecular Pathology, Bethesda, Maryland
| | - Benjamin Solomon
- Molecular Therapeutics and Biomarkers Laboratory, Peter Maccallum Cancer Center, Melbourne, Australia
| | | | - Erik Thunnissen
- Department of Pathology, VU University Medical Center, Amsterdam, the Netherlands
| | - Ming S Tsao
- Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - Christina B Ventura
- Pathology and Laboratory Quality Center, College of American Pathologists, Northfield, Illinois
| | - Murry W Wynes
- Scientific Affairs, International Association for the Study of Lung Cancer, Aurora, Colorado
| | - Yasushi Yatabe
- Department of Pathology and Molecular Diagnostics, Aichi Cancer Center, Nagoya, Japan
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7
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Lindeman NI, Cagle PT, Aisner DL, Arcila ME, Beasley MB, Bernicker EH, Colasacco C, Dacic S, Hirsch FR, Kerr K, Kwiatkowski DJ, Ladanyi M, Nowak JA, Sholl L, Temple-Smolkin R, Solomon B, Souter LH, Thunnissen E, Tsao MS, Ventura CB, Wynes MW, Yatabe Y. Updated Molecular Testing Guideline for the Selection of Lung Cancer Patients for Treatment With Targeted Tyrosine Kinase Inhibitors: Guideline From the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology. J Mol Diagn 2018; 20:129-159. [PMID: 29398453 DOI: 10.1016/j.jmoldx.2017.11.004] [Citation(s) in RCA: 219] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2017] [Indexed: 02/07/2023] Open
Abstract
CONTEXT In 2013, an evidence-based guideline was published by the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology to set standards for the molecular analysis of lung cancers to guide treatment decisions with targeted inhibitors. New evidence has prompted an evaluation of additional laboratory technologies, targetable genes, patient populations, and tumor types for testing. OBJECTIVE To systematically review and update the 2013 guideline to affirm its validity; to assess the evidence of new genetic discoveries, technologies, and therapies; and to issue an evidence-based update. DESIGN The College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology convened an expert panel to develop an evidence-based guideline to help define the key questions and literature search terms, review abstracts and full articles, and draft recommendations. RESULTS Eighteen new recommendations were drafted. The panel also updated 3 recommendations from the 2013 guideline. CONCLUSIONS The 2013 guideline was largely reaffirmed with updated recommendations to allow testing of cytology samples, require improved assay sensitivity, and recommend against the use of immunohistochemistry for EGFR testing. Key new recommendations include ROS1 testing for all adenocarcinoma patients; the inclusion of additional genes (ERBB2, MET, BRAF, KRAS, and RET) for laboratories that perform next-generation sequencing panels; immunohistochemistry as an alternative to fluorescence in situ hybridization for ALK and/or ROS1 testing; use of 5% sensitivity assays for EGFR T790M mutations in patients with secondary resistance to EGFR inhibitors; and the use of cell-free DNA to "rule in" targetable mutations when tissue is limited or hard to obtain.
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Affiliation(s)
- Neal I Lindeman
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
| | - Philip T Cagle
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Dara L Aisner
- Department of Pathology, University of Colorado School of Medicine, Denver, Colorado
| | - Maria E Arcila
- Diagnostic and Molecular Pathology Laboratory, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mary Beth Beasley
- Department of Pathology & Medicine, Pulmonary, Critical Care and Sleep Medicine, New York, New York
| | - Eric H Bernicker
- Cancer Research Program, Houston Methodist Research Institute, Houston, Texas
| | - Carol Colasacco
- Pathology and Laboratory Quality Center, College of American Pathologists, Northfield, Illinois
| | - Sanja Dacic
- Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Fred R Hirsch
- Department of Medicine and Pathology, University of Colorado, Denver, Colorado
| | - Keith Kerr
- Department of Pathology, University of Aberdeen, Aberdeen, Scotland
| | | | - Marc Ladanyi
- Molecular Diagnostics Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jan A Nowak
- Department of Molecular Pathology, Roswell Park Cancer Institute, Buffalo, New York
| | - Lynette Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Robyn Temple-Smolkin
- Clinical and Scientific Affairs Division, Association for Molecular Pathology, Bethesda, Maryland
| | - Benjamin Solomon
- Molecular Therapeutics and Biomarkers Laboratory, Peter Maccallum Cancer Center, Melbourne, Australia
| | | | - Erik Thunnissen
- Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands
| | - Ming S Tsao
- Department of Laboratory Medicine and Pathobiology, Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - Christina B Ventura
- Pathology and Laboratory Quality Center, College of American Pathologists, Northfield, Illinois
| | - Murry W Wynes
- Scientific Affairs, International Association for the Study of Lung Cancer, Aurora, Colorado
| | - Yasushi Yatabe
- Department of Pathology and Molecular Diagnostics, Aichi Cancer Center, Nagoya, Japan
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8
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Goldman JM, Gray JE. BRAF V600E mutations: a series of case reports in patients with non-small cell lung cancer. Cancer Genet 2015; 208:351-4. [PMID: 26066373 DOI: 10.1016/j.cancergen.2015.04.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Revised: 03/31/2015] [Accepted: 04/01/2015] [Indexed: 01/04/2023]
Abstract
We present a series of five patients with BRAF-mutated non-small cell lung cancer (NSCLC) from the Moffitt Cancer Center and a brief literature review. Information utilized included outside medical records, imaging studies, pathology reports in which simultaneous mutation testing was performed, and clinic visit notes. In addition, we conducted a literature search of background information using the following search terms: "BRAF mutations", "non-small cell lung cancer", and "driver mutations". Several retrospective studies on BRAF mutations in patients with NSCLC found that the majority of these mutations occur in adenocarcinomas and are V600E mutations. From our patients and literature search, we found that BRAF-V600E mutations occur predominantly in female smokers with adenocarcinomas.
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Affiliation(s)
- Jamie M Goldman
- Department of Internal Medicine, University of South Florida, Tampa, FL, USA
| | - Jhanelle E Gray
- Department of Thoracic Oncology, Moffitt Cancer Center, Tampa, FL, USA.
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