The DOI matches its Crossref record; 322 of the 322 references it cites were found in a registry or an index.
Molecular Testing Guideline for Selection of Lung Cancer Patients for EGFR and ALK Tyrosine Kinase Inhibitors: Guideline from the College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology
Open accessAbstract
OBJECTIVE: To establish evidence-based recommendations for the molecular analysis of lung cancers that are that are required to guide EGFR- and ALK-directed therapies, addressing which patients and samples should be tested, and when and how testing should be performed. PARTICIPANTS: Three cochairs without conflicts of interest were selected, one from each of the 3 sponsoring professional societies: College of American Pathologists, International Association for the Study of Lung Cancer, and Association for Molecular Pathology. Writing and advisory panels were constituted from additional experts from these societies. EVIDENCE: Three unbiased literature searches of electronic databases were performed to capture articles published published from January 2004 through February 2012, yielding 1533 articles whose abstracts were screened to identify 521 pertinent articles that were then reviewed in detail for their relevance to the recommendations. Evidence was formally graded for each recommendation. CONSENSUS PROCESS: Initial recommendations were formulated by the cochairs and panel members at a public meeting. Each guideline section was assigned to at least 2 panelists. Drafts were circulated to the writing panel (version 1), advisory panel (version 2), and the public (version 3) before submission (version 4). CONCLUSIONS: The 37 guideline items address 14 subjects, including 15 recommendations (evidence grade A/B). The major recommendations are to use testing for EGFR mutations and ALK fusions to guide patient selection for therapy with an epidermal growth factor receptor (EGFR) or anaplastic lymphoma kinase (ALK) inhibitor, respectively, in all patients with advanced-stage adenocarcinoma, regardless of sex, race, smoking history, or other clinical risk factors, and to prioritize EGFR and ALK testing over other molecular predictive tests. As scientific discoveries and clinical practice outpace the completion of randomized clinical trials, evidence-based guidelines developed by expert practitioners are vital for communicating emerging clinical standards. Already, new treatments targeting genetic alterations in other, less common driver oncogenes are being evaluated in lung cancer, and testing for these may be addressed in future versions of these guidelines.
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“Sanger sequencing has been performed to detect mutations throughout the exons sequenced (usually exons 18–21), although the sensitivity is relatively low (requiring approximately 10% of the mutation allele).21”
From Not all epidermal growth factor receptor mutations in lung cancer are created equal: Perspectives for individualized treatment strategy (2016) · cites this paper as [21]
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Nishimura, R., Osako, T., Nishiyama, Y., Tashima, R., Nakano, M., Fujisue, M., Toyozumi, Y., & Arima, N. (2013) · Oncology · doi:10.1159/000353099 · Cited by 13,239
Lynch, T. J., Bell, D. W., Sordella, R., Gurubhagavatula, S., Okimoto, R. A., Brannigan, B. W., Harris, P. L., Haserlat, S. M., Supko, J. G., Haluska, F. G., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040938 · Cited by 11,486
EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy
Paez, J. G., Jänne, P. A., Lee, J. C., Tracy, S., Greulich, H., Gabriel, S., Herman, P., Kaye, F. J., Lindeman, N., Boggon, T. J., et al. (2004) · Science · doi:10.1126/science.1099314 · Cited by 9,368
Self-citationGefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma
Mok, T. S., Wu, Y.-L., Thongprasert, S., Yang, C.-H., Chu, D.-T., Saijo, N., Sunpaweravong, P., Han, B., Margono, B., Ichinose, Y., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810699 · Cited by 8,261 · cited 4×
“001).(7) Subsequently, 5 additional randomized controlled trials confirmed this association between activating EGFR mutations and objective response to gefitinib and/or erlotinib therapy (Table 2).”
InfluentialIntratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774
Gefitinib or Chemotherapy for Non–Small-Cell Lung Cancer with Mutated EGFR
Maemondo, M., Inoue, A., Kobayashi, K., Sugawara, S., Oizumi, S., Isobe, H., Gemma, A., Harada, M., Yoshizawa, H., Kinoshita, I., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0909530 · Cited by 5,525
Rosell, R., Carcereny, E., Gervais, R., Vergnenegre, A., Massuti, B., Felip, E., Palmero, R., Garcia-Gomez, R., Pallares, C., Sanchez, J. M., et al. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70393-x · Cited by 5,489
Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer
Soda, M., Choi, Y. L., Enomoto, M., Takada, S., Yamashita, Y., Ishikawa, S., Fujiwara, S.-I., Watanabe, H., Kurashina, K., Hatanaka, H., et al. (2007) · Nature · doi:10.1038/nature05945 · Cited by 5,439
Erlotinib in Previously Treated Non–Small-Cell Lung Cancer
Shepherd, F. A., Rodrigues Pereira, J., Ciuleanu, T., Tan, E. H., Hirsh, V., Thongprasert, S., Campos, D., Maoleekoonpiroj, S., Smylie, M., Martins, R., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050753 · Cited by 5,419
Travis, W. D., Brambilla, E. M., Noguchi, M., Nicholson, A. G., Geisinger, K. R., Yatabe, Y., Beer, D. G., Powell, C. A., Riely, G. J., Schil, P. E. V., et al. (2011) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e318206a221 · Cited by 4,834
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Research works printed but not linked: 1
- Department of Health and Human Services, 1992, Clinical laboratory improvement amendments of 1988: final rule, Fed Regist, 57, 7001
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Zehir, A., Benayed, R., Shah, R. H., Syed, A., Middha, S., Kim, H. R., Srinivasan, P., Gao, J., Chakravarty, D., Devlin, S. M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4333 · Cited by 3,380
Self-citationNovello, S., Barlesi, F., Califano, R., Cufer, T., Ekman, S., Levra, M. G., Kerr, K., Popat, S., Reck, M., Senan, S., et al. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw326 · Cited by 2,631
Ashley, E. A. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.86 · Cited by 1,116
Kalemkerian, G. P., Narula, N., Kennedy, E. B., Biermann, W. A., Donington, J., Leighl, N. B., Lew, M., Pantelas, J., Ramalingam, S. S., Reck, M., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.76.7293 · Cited by 492
Non–Small Cell Lung Cancer, Version 6.2015
Ettinger, D. S., Wood, D. E., Akerley, W., Bazhenova, L. A., Borghaei, H., Camidge, D. R., Cheney, R. T., Chirieac, L. R., D’Amico, T. A., Demmy, T. L., et al. (2015) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2015.0071 · Cited by 478
Metadata
- Authors
- Lindeman, N. I., Cagle, P. T., Beasley, M. B., Chitale, D. A., Dacic, S., Giaccone, G., Jenkins, R. B., Kwiatkowski, D. J., Saldivar, J.-S., Squire, J., Thunnissen, E., & Ladanyi, M.
- Affiliations
- Brigham and Women's Hospital (US)
- ORCID
- Venue
- Journal of Thoracic Oncology
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 8
- Issue
- 7
- Pages
- 823-859
- ISSN
- 1556-0864 (ISSN-L)
- PMC
- PMC4159960
- OpenAlex
- W1978236936
- Cited by
- 1,280
- References
- 322
- Citations by year
- 2026: 17 · 2025: 17 · 2024: 33 · 2023: 42 · 2022: 52 · 2021: 81 · 2020: 99 · 2019: 78 · 2018: 135 · 2017: 164 · 2016: 170 · 2015: 167 · 2014: 168 · 2013: 54
- FWCI
- 151.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Thoracic Oncology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- PubMed Central (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Cancer Institute (P01CA129243)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Keywords
- lung cancer, EGFR mutation, ALK fusion, tyrosine kinase inhibitors, molecular testing, patient selection, predictive biomarkers, targeted therapy, molecular pathology
- MeSH terms
- Anaplastic Lymphoma Kinase, Systematic Reviews as Topic, Expert Testimony, Genetic Testing, Humans, International Agencies, Lung Neoplasms, Mutation, Societies, Medical, Biomarkers, Tumor, Gene Rearrangement, Patient Selection, Evidence-Based Medicine, Receptor Protein-Tyrosine Kinases, Protein Kinase Inhibitors, ErbB Receptors
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