Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes1

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...

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Published inTranslational oncology Vol. 10; no. 1; pp. 99 - 107
Main Authors Min, Li, Zhao, Yu, Zhu, Shengtao, Qiu, Xintao, Cheng, Rui, Xing, Jie, Shao, Linlin, Guo, Shuilong, Zhang, Shutian
Format Journal Article
LanguageEnglish
Published Neoplasia Press 22.12.2016
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Abstract 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.
AbstractList 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.
Author Shao, Linlin
Cheng, Rui
Guo, Shuilong
Zhang, Shutian
Zhao, Yu
Zhu, Shengtao
Qiu, Xintao
Xing, Jie
Min, Li
AuthorAffiliation Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, 100050, PR China
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
Department of Biomedical Informatics, Harvard School of Public Health, Boston, MA 02115, USA
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  organization: Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, 100050, PR China Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA Department of Biomedical Informatics, Harvard School of Public Health, Boston, MA 02115, USA
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  givenname: Rui
  surname: Cheng
  fullname: Cheng, Rui
  organization: Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, 100050, PR China Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA Department of Biomedical Informatics, Harvard School of Public Health, Boston, MA 02115, USA
– sequence: 6
  givenname: Jie
  surname: Xing
  fullname: Xing, Jie
  organization: Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, 100050, PR China Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA Department of Biomedical Informatics, Harvard School of Public Health, Boston, MA 02115, USA
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  givenname: Linlin
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  givenname: Shuilong
  surname: Guo
  fullname: Guo, Shuilong
  email: slong.guo@163.com, slong.guo@163.com, zhangshutian@ccmu.edu.cn
  organization: Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, 100050, PR China Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA Department of Biomedical Informatics, Harvard School of Public Health, Boston, MA 02115, USA
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  givenname: Shutian
  surname: Zhang
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  email: zhangshutian@ccmu.edu.cn, slong.guo@163.com, zhangshutian@ccmu.edu.cn
  organization: Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Disease, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, 100050, PR China Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA Department of Biomedical Informatics, Harvard School of Public Health, Boston, MA 02115, USA
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Notes Li Min and Yu Zhao contributed equally to this work.
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Title Integrated Analysis Identifies Molecular Signatures and Specific Prognostic Factors for Different Gastric Cancer Subtypes1
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