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Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations

BACKGROUND: Gene expression profiling has consistently identified three molecular subtypes of lung adenocarcinoma that have prognostic implications. To facilitate stratification of patients with this disease into similar molecular subtypes, we developed and validated a simple, mutually exclusive cla...

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Autores principales: Ruiz-Cordero, Roberto, Ma, Junsheng, Khanna, Abha, Lyons, Genevieve, Rinsurongkawong, Waree, Bassett, Roland, Guo, Ming, Routbort, Mark J., Zhang, Jianjun, Skoulidis, Ferdinandos, Heymach, John, Roarty, Emily B., Tang, Zhenya, Medeiros, L. Jeffrey, Patel, Keyur P., Luthra, Rajyalakshmi, Roy-Chowdhuri, Sinchita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995064/
https://www.ncbi.nlm.nih.gov/pubmed/32005111
http://dx.doi.org/10.1186/s12885-020-6579-z
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author Ruiz-Cordero, Roberto
Ma, Junsheng
Khanna, Abha
Lyons, Genevieve
Rinsurongkawong, Waree
Bassett, Roland
Guo, Ming
Routbort, Mark J.
Zhang, Jianjun
Skoulidis, Ferdinandos
Heymach, John
Roarty, Emily B.
Tang, Zhenya
Medeiros, L. Jeffrey
Patel, Keyur P.
Luthra, Rajyalakshmi
Roy-Chowdhuri, Sinchita
author_facet Ruiz-Cordero, Roberto
Ma, Junsheng
Khanna, Abha
Lyons, Genevieve
Rinsurongkawong, Waree
Bassett, Roland
Guo, Ming
Routbort, Mark J.
Zhang, Jianjun
Skoulidis, Ferdinandos
Heymach, John
Roarty, Emily B.
Tang, Zhenya
Medeiros, L. Jeffrey
Patel, Keyur P.
Luthra, Rajyalakshmi
Roy-Chowdhuri, Sinchita
author_sort Ruiz-Cordero, Roberto
collection PubMed
description BACKGROUND: Gene expression profiling has consistently identified three molecular subtypes of lung adenocarcinoma that have prognostic implications. To facilitate stratification of patients with this disease into similar molecular subtypes, we developed and validated a simple, mutually exclusive classification. METHODS: Mutational status of EGFR, KRAS, and TP53 was used to define seven mutually exclusive molecular subtypes. A development cohort of 283 cytology specimens of lung adenocarcinoma was used to evaluate the associations between the proposed classification and clinicopathologic variables including demographic characteristics, smoking history, fluorescence in situ hybridization and molecular results. For validation and prognostic assessment, 63 of the 283 cytology specimens with available survival data were combined with a separate cohort of 428 surgical pathology specimens of lung adenocarcinoma. RESULTS: The proposed classification yielded significant associations between these molecular subtypes and clinical and prognostic features. We found better overall survival in patients who underwent surgery and had tumors enriched for EGFR mutations. Worse overall survival was associated with older age, stage IV disease, and tumors with co-mutations in KRAS and TP53. Interestingly, neither chemotherapy nor radiation therapy showed benefit to overall survival. CONCLUSIONS: The mutational status of EGFR, KRAS, and TP53 can be used to easily classify lung adenocarcinoma patients into seven subtypes that show a relationship with prognosis, especially in patients who underwent surgery, and these subtypes are similar to classifications based on more complex genomic methods reported previously.
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spelling pubmed-69950642020-02-04 Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations Ruiz-Cordero, Roberto Ma, Junsheng Khanna, Abha Lyons, Genevieve Rinsurongkawong, Waree Bassett, Roland Guo, Ming Routbort, Mark J. Zhang, Jianjun Skoulidis, Ferdinandos Heymach, John Roarty, Emily B. Tang, Zhenya Medeiros, L. Jeffrey Patel, Keyur P. Luthra, Rajyalakshmi Roy-Chowdhuri, Sinchita BMC Cancer Research Article BACKGROUND: Gene expression profiling has consistently identified three molecular subtypes of lung adenocarcinoma that have prognostic implications. To facilitate stratification of patients with this disease into similar molecular subtypes, we developed and validated a simple, mutually exclusive classification. METHODS: Mutational status of EGFR, KRAS, and TP53 was used to define seven mutually exclusive molecular subtypes. A development cohort of 283 cytology specimens of lung adenocarcinoma was used to evaluate the associations between the proposed classification and clinicopathologic variables including demographic characteristics, smoking history, fluorescence in situ hybridization and molecular results. For validation and prognostic assessment, 63 of the 283 cytology specimens with available survival data were combined with a separate cohort of 428 surgical pathology specimens of lung adenocarcinoma. RESULTS: The proposed classification yielded significant associations between these molecular subtypes and clinical and prognostic features. We found better overall survival in patients who underwent surgery and had tumors enriched for EGFR mutations. Worse overall survival was associated with older age, stage IV disease, and tumors with co-mutations in KRAS and TP53. Interestingly, neither chemotherapy nor radiation therapy showed benefit to overall survival. CONCLUSIONS: The mutational status of EGFR, KRAS, and TP53 can be used to easily classify lung adenocarcinoma patients into seven subtypes that show a relationship with prognosis, especially in patients who underwent surgery, and these subtypes are similar to classifications based on more complex genomic methods reported previously. BioMed Central 2020-01-31 /pmc/articles/PMC6995064/ /pubmed/32005111 http://dx.doi.org/10.1186/s12885-020-6579-z Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ruiz-Cordero, Roberto
Ma, Junsheng
Khanna, Abha
Lyons, Genevieve
Rinsurongkawong, Waree
Bassett, Roland
Guo, Ming
Routbort, Mark J.
Zhang, Jianjun
Skoulidis, Ferdinandos
Heymach, John
Roarty, Emily B.
Tang, Zhenya
Medeiros, L. Jeffrey
Patel, Keyur P.
Luthra, Rajyalakshmi
Roy-Chowdhuri, Sinchita
Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations
title Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations
title_full Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations
title_fullStr Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations
title_full_unstemmed Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations
title_short Simplified molecular classification of lung adenocarcinomas based on EGFR, KRAS, and TP53 mutations
title_sort simplified molecular classification of lung adenocarcinomas based on egfr, kras, and tp53 mutations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6995064/
https://www.ncbi.nlm.nih.gov/pubmed/32005111
http://dx.doi.org/10.1186/s12885-020-6579-z
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