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Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes()
BACKGROUND: Gastric cancer (GC) is the fifth leading cause of cancer-related deaths worldwide. As an effective and easily performed method, microscopy-based Lauren classification has been widely accepted by gastrointestinal surgeons and pathologists for GC subtyping, but molecular characteristics of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5198736/ https://www.ncbi.nlm.nih.gov/pubmed/28013168 http://dx.doi.org/10.1016/j.tranon.2016.11.003 |
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author | Min, Li Zhao, Yu Zhu, Shengtao Qiu, Xintao Cheng, Rui Xing, Jie Shao, Linlin Guo, Shuilong Zhang, Shutian |
author_facet | Min, Li Zhao, Yu Zhu, Shengtao Qiu, Xintao Cheng, Rui Xing, Jie Shao, Linlin Guo, Shuilong Zhang, Shutian |
author_sort | Min, Li |
collection | PubMed |
description | BACKGROUND: Gastric cancer (GC) is the fifth leading cause of cancer-related deaths worldwide. As an effective and easily performed method, microscopy-based Lauren classification has been widely accepted by gastrointestinal surgeons and pathologists for GC subtyping, but molecular characteristics of different Lauren subtypes were poorly revealed. METHODS: GSE62254 was used as a derivation cohort, and GSE15459 was used as a validation cohort. The difference between diffuse and intestinal GC on the gene expression level was measured. Gene ontology (GO) enrichment analysis was performed for both subgroups. Hierarchical clustering and heatmap exhibition were also performed. Kaplan-Meier plot and Cox proportional hazards model were used to evaluate survival grouped by the given genes or hierarchical clusters. RESULTS: A total of 4598 genes were found differentially expressed between diffuse and intestinal GC. Immunity- and cell adhesion–related GOs were enriched for diffuse GC, whereas DNA repair– and cell cycle–related GOs were enriched for intestinal GC. We proposed a 40-gene signature (χ(2) = 30.71, P < .001) that exhibits better discrimination for prognosis than Lauren classification (χ(2) = 12.11, P = .002). FRZB [RR (95% CI) = 1.824 (1.115-2.986), P = .017] and EFEMP1 [RR (95% CI) = 1.537 (0.969-2.437), P = .067] were identified as independent prognostic factors only in diffuse GC but not in intestinal GC patients. KRT23 [RR (95% CI) = 1.616 (0.938-2.785), P = .083] was identified as an independent prognostic factor only in intestinal GC patients but not in diffuse GC patients. Similar results were achieved in the validation cohort. CONCLUSION: We found that GCs with different Lauren classifications had different molecular characteristics and identified FRZB, EFEMP1, and KRT23 as subtype-specific prognostic factors for GC patients. |
format | Online Article Text |
id | pubmed-5198736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-51987362017-01-03 Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes() Min, Li Zhao, Yu Zhu, Shengtao Qiu, Xintao Cheng, Rui Xing, Jie Shao, Linlin Guo, Shuilong Zhang, Shutian Transl Oncol Original article BACKGROUND: Gastric cancer (GC) is the fifth leading cause of cancer-related deaths worldwide. As an effective and easily performed method, microscopy-based Lauren classification has been widely accepted by gastrointestinal surgeons and pathologists for GC subtyping, but molecular characteristics of different Lauren subtypes were poorly revealed. METHODS: GSE62254 was used as a derivation cohort, and GSE15459 was used as a validation cohort. The difference between diffuse and intestinal GC on the gene expression level was measured. Gene ontology (GO) enrichment analysis was performed for both subgroups. Hierarchical clustering and heatmap exhibition were also performed. Kaplan-Meier plot and Cox proportional hazards model were used to evaluate survival grouped by the given genes or hierarchical clusters. RESULTS: A total of 4598 genes were found differentially expressed between diffuse and intestinal GC. Immunity- and cell adhesion–related GOs were enriched for diffuse GC, whereas DNA repair– and cell cycle–related GOs were enriched for intestinal GC. We proposed a 40-gene signature (χ(2) = 30.71, P < .001) that exhibits better discrimination for prognosis than Lauren classification (χ(2) = 12.11, P = .002). FRZB [RR (95% CI) = 1.824 (1.115-2.986), P = .017] and EFEMP1 [RR (95% CI) = 1.537 (0.969-2.437), P = .067] were identified as independent prognostic factors only in diffuse GC but not in intestinal GC patients. KRT23 [RR (95% CI) = 1.616 (0.938-2.785), P = .083] was identified as an independent prognostic factor only in intestinal GC patients but not in diffuse GC patients. Similar results were achieved in the validation cohort. CONCLUSION: We found that GCs with different Lauren classifications had different molecular characteristics and identified FRZB, EFEMP1, and KRT23 as subtype-specific prognostic factors for GC patients. Neoplasia Press 2016-12-22 /pmc/articles/PMC5198736/ /pubmed/28013168 http://dx.doi.org/10.1016/j.tranon.2016.11.003 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original article Min, Li Zhao, Yu Zhu, Shengtao Qiu, Xintao Cheng, Rui Xing, Jie Shao, Linlin Guo, Shuilong Zhang, Shutian Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes() |
title | Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes() |
title_full | Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes() |
title_fullStr | Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes() |
title_full_unstemmed | Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes() |
title_short | Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes() |
title_sort | integrated analysis identifies molecular signatures and specific prognostic factors for different gastric cancer subtypes() |
topic | Original article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5198736/ https://www.ncbi.nlm.nih.gov/pubmed/28013168 http://dx.doi.org/10.1016/j.tranon.2016.11.003 |
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