Genetic alterations of driver genes as independent prognostic factors for disease-free survival in patients with resected non-small cell lung cancer

•Driver genes give a selective growth advantage to tumor cells, leading to uncontrolled cell growth and proliferation.•Gene alterations detected in 138 cancer-related genes listed in Vogelstein et al. were evaluated as driver gene alterations.•The driver gene alteration status may be an independent...

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Veröffentlicht in:Lung cancer (Amsterdam, Netherlands) Netherlands), 2019-02, Vol.128, p.152-157
Hauptverfasser: Ono, Akira, Isaka, Mitsuhiro, Serizawa, Masakuni, Omae, Katsuhiro, Kojima, Hideaki, Nakashima, Kazuhisa, Omori, Shota, Wakuda, Kazushige, Kenmotsu, Hirotsugu, Naito, Tateaki, Murakami, Haruyasu, Urakami, Kenichi, Nagashima, Takeshi, Sugino, Takashi, Kusuhara, Masatoshi, Takahashi, Toshiaki, Yamaguchi, Ken, Ohde, Yasuhisa
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container_title Lung cancer (Amsterdam, Netherlands)
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creator Ono, Akira
Isaka, Mitsuhiro
Serizawa, Masakuni
Omae, Katsuhiro
Kojima, Hideaki
Nakashima, Kazuhisa
Omori, Shota
Wakuda, Kazushige
Kenmotsu, Hirotsugu
Naito, Tateaki
Murakami, Haruyasu
Urakami, Kenichi
Nagashima, Takeshi
Sugino, Takashi
Kusuhara, Masatoshi
Takahashi, Toshiaki
Yamaguchi, Ken
Ohde, Yasuhisa
description •Driver genes give a selective growth advantage to tumor cells, leading to uncontrolled cell growth and proliferation.•Gene alterations detected in 138 cancer-related genes listed in Vogelstein et al. were evaluated as driver gene alterations.•The driver gene alteration status may be an independent prognostic factor of postoperative relapse-free survival in NSCLC. This study assessed the associations between the molecular signatures and clinical information in non-small cell lung cancer (NSCLC) patients with postoperative disease-free survival (p-dfs) to identify novel prognostic factors, focusing on associations with driver gene alterations. Between February 2014 and September 2015, 242 patients with NSCLC, including 192 patients with adenocarcinoma (Ad) and 50 patients with squamous cell carcinoma (Sq), underwent surgery and were enrolled in this study. Surgically resected tissues were subjected to whole exome sequencing. Mt detected in 138 cancer-related genes were evaluated as driver mutations. A multivariate analysis using the multi-state model was used to establish the associations between co-variables and p-dfs. Postoperative recurrence (p-rec) was observed in 49 (20.2%) and 19 (7.9%) patients with Ad and Sq, respectively. The median (range) follow-up period for all the censored cases was 2.5 (2.0–3.5) years. The characteristics of the patients with postoperative recurrence were as follows: median age (range), 71 (50–87) years; male, 38 (56%); smoker, 51 (75%); p-stage (I/II/III), 30 (44%)/19 (28%)/19 (28%); histological type (Ad/Sq), 49 (72%)/19 (28%); adjuvant chemotherapy (yes/no), 30 (44%)/38 (56%); and driver gene alteration (presence/absence), 65 (96%)/3 (4%). In univariate analyses, age (
doi_str_mv 10.1016/j.lungcan.2018.12.005
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This study assessed the associations between the molecular signatures and clinical information in non-small cell lung cancer (NSCLC) patients with postoperative disease-free survival (p-dfs) to identify novel prognostic factors, focusing on associations with driver gene alterations. Between February 2014 and September 2015, 242 patients with NSCLC, including 192 patients with adenocarcinoma (Ad) and 50 patients with squamous cell carcinoma (Sq), underwent surgery and were enrolled in this study. Surgically resected tissues were subjected to whole exome sequencing. Mt detected in 138 cancer-related genes were evaluated as driver mutations. A multivariate analysis using the multi-state model was used to establish the associations between co-variables and p-dfs. Postoperative recurrence (p-rec) was observed in 49 (20.2%) and 19 (7.9%) patients with Ad and Sq, respectively. The median (range) follow-up period for all the censored cases was 2.5 (2.0–3.5) years. The characteristics of the patients with postoperative recurrence were as follows: median age (range), 71 (50–87) years; male, 38 (56%); smoker, 51 (75%); p-stage (I/II/III), 30 (44%)/19 (28%)/19 (28%); histological type (Ad/Sq), 49 (72%)/19 (28%); adjuvant chemotherapy (yes/no), 30 (44%)/38 (56%); and driver gene alteration (presence/absence), 65 (96%)/3 (4%). In univariate analyses, age (&lt;70/≧70 years), smoking history (yes/no), p-stage (I, II/III), histological type (Ad/Sq), and driver mutation (presence/absence) were favorable prognostic factors (P = .017, P = .048, P = .0002, P = .006, P = .029, respectively). A multivariate analysis also revealed a significant association between the driver mutation status and p-dfs (P = .046; odds ratio [OR], 2.86; 95% confidence interval [CI], 1.02–8.08), when adjusted according to histological type (P = .10), smoking status (P = .09), gender (P = .51), age (P = .008) and p-stage (P = .00003). 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All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-3c3362bbd40d5033b989a6939e04739a58ab6e5173d565e95119dad235ee43173</citedby><cites>FETCH-LOGICAL-c412t-3c3362bbd40d5033b989a6939e04739a58ab6e5173d565e95119dad235ee43173</cites><orcidid>0000-0002-6762-8455 ; 0000-0003-2416-546X ; 0000-0001-5705-9423 ; 0000-0003-0590-9259 ; 0000-0003-4047-2929</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0169500218306913$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30553548$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ono, Akira</creatorcontrib><creatorcontrib>Isaka, Mitsuhiro</creatorcontrib><creatorcontrib>Serizawa, Masakuni</creatorcontrib><creatorcontrib>Omae, Katsuhiro</creatorcontrib><creatorcontrib>Kojima, Hideaki</creatorcontrib><creatorcontrib>Nakashima, Kazuhisa</creatorcontrib><creatorcontrib>Omori, Shota</creatorcontrib><creatorcontrib>Wakuda, Kazushige</creatorcontrib><creatorcontrib>Kenmotsu, Hirotsugu</creatorcontrib><creatorcontrib>Naito, Tateaki</creatorcontrib><creatorcontrib>Murakami, Haruyasu</creatorcontrib><creatorcontrib>Urakami, Kenichi</creatorcontrib><creatorcontrib>Nagashima, Takeshi</creatorcontrib><creatorcontrib>Sugino, Takashi</creatorcontrib><creatorcontrib>Kusuhara, Masatoshi</creatorcontrib><creatorcontrib>Takahashi, Toshiaki</creatorcontrib><creatorcontrib>Yamaguchi, Ken</creatorcontrib><creatorcontrib>Ohde, Yasuhisa</creatorcontrib><title>Genetic alterations of driver genes as independent prognostic factors for disease-free survival in patients with resected non-small cell lung cancer</title><title>Lung cancer (Amsterdam, Netherlands)</title><addtitle>Lung Cancer</addtitle><description>•Driver genes give a selective growth advantage to tumor cells, leading to uncontrolled cell growth and proliferation.•Gene alterations detected in 138 cancer-related genes listed in Vogelstein et al. were evaluated as driver gene alterations.•The driver gene alteration status may be an independent prognostic factor of postoperative relapse-free survival in NSCLC. This study assessed the associations between the molecular signatures and clinical information in non-small cell lung cancer (NSCLC) patients with postoperative disease-free survival (p-dfs) to identify novel prognostic factors, focusing on associations with driver gene alterations. Between February 2014 and September 2015, 242 patients with NSCLC, including 192 patients with adenocarcinoma (Ad) and 50 patients with squamous cell carcinoma (Sq), underwent surgery and were enrolled in this study. Surgically resected tissues were subjected to whole exome sequencing. Mt detected in 138 cancer-related genes were evaluated as driver mutations. A multivariate analysis using the multi-state model was used to establish the associations between co-variables and p-dfs. Postoperative recurrence (p-rec) was observed in 49 (20.2%) and 19 (7.9%) patients with Ad and Sq, respectively. The median (range) follow-up period for all the censored cases was 2.5 (2.0–3.5) years. The characteristics of the patients with postoperative recurrence were as follows: median age (range), 71 (50–87) years; male, 38 (56%); smoker, 51 (75%); p-stage (I/II/III), 30 (44%)/19 (28%)/19 (28%); histological type (Ad/Sq), 49 (72%)/19 (28%); adjuvant chemotherapy (yes/no), 30 (44%)/38 (56%); and driver gene alteration (presence/absence), 65 (96%)/3 (4%). In univariate analyses, age (&lt;70/≧70 years), smoking history (yes/no), p-stage (I, II/III), histological type (Ad/Sq), and driver mutation (presence/absence) were favorable prognostic factors (P = .017, P = .048, P = .0002, P = .006, P = .029, respectively). A multivariate analysis also revealed a significant association between the driver mutation status and p-dfs (P = .046; odds ratio [OR], 2.86; 95% confidence interval [CI], 1.02–8.08), when adjusted according to histological type (P = .10), smoking status (P = .09), gender (P = .51), age (P = .008) and p-stage (P = .00003). 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This study assessed the associations between the molecular signatures and clinical information in non-small cell lung cancer (NSCLC) patients with postoperative disease-free survival (p-dfs) to identify novel prognostic factors, focusing on associations with driver gene alterations. Between February 2014 and September 2015, 242 patients with NSCLC, including 192 patients with adenocarcinoma (Ad) and 50 patients with squamous cell carcinoma (Sq), underwent surgery and were enrolled in this study. Surgically resected tissues were subjected to whole exome sequencing. Mt detected in 138 cancer-related genes were evaluated as driver mutations. A multivariate analysis using the multi-state model was used to establish the associations between co-variables and p-dfs. Postoperative recurrence (p-rec) was observed in 49 (20.2%) and 19 (7.9%) patients with Ad and Sq, respectively. The median (range) follow-up period for all the censored cases was 2.5 (2.0–3.5) years. The characteristics of the patients with postoperative recurrence were as follows: median age (range), 71 (50–87) years; male, 38 (56%); smoker, 51 (75%); p-stage (I/II/III), 30 (44%)/19 (28%)/19 (28%); histological type (Ad/Sq), 49 (72%)/19 (28%); adjuvant chemotherapy (yes/no), 30 (44%)/38 (56%); and driver gene alteration (presence/absence), 65 (96%)/3 (4%). In univariate analyses, age (&lt;70/≧70 years), smoking history (yes/no), p-stage (I, II/III), histological type (Ad/Sq), and driver mutation (presence/absence) were favorable prognostic factors (P = .017, P = .048, P = .0002, P = .006, P = .029, respectively). A multivariate analysis also revealed a significant association between the driver mutation status and p-dfs (P = .046; odds ratio [OR], 2.86; 95% confidence interval [CI], 1.02–8.08), when adjusted according to histological type (P = .10), smoking status (P = .09), gender (P = .51), age (P = .008) and p-stage (P = .00003). 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source MEDLINE; Elsevier ScienceDirect Journals
subjects Adult
Aged
Aged, 80 and over
Biomarkers, Tumor
Carcinoma, Non-Small-Cell Lung - genetics
Carcinoma, Non-Small-Cell Lung - mortality
Carcinoma, Non-Small-Cell Lung - pathology
Carcinoma, Non-Small-Cell Lung - therapy
Disease-Free Survival
Driver gene alterations
Female
Genetic Variation
Humans
Kaplan-Meier Estimate
Lung Neoplasms - genetics
Lung Neoplasms - mortality
Lung Neoplasms - pathology
Lung Neoplasms - therapy
Male
Middle Aged
Neoplasm Staging
NSCLC
Oncogenes
Pneumonectomy
Prognosis
Prognostic factor
Treatment Outcome
Whole Exome Sequencing
title Genetic alterations of driver genes as independent prognostic factors for disease-free survival in patients with resected non-small cell lung cancer
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