Integrated characterisation of cancer genes identifies key molecular biomarkers in stomach adenocarcinoma
| Autor: | Hai-feng Wang, Jieqing Lv, Liyijing Shen, Yaoqing Li |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty DNA Copy Number Variations ARID1A Disease Adenocarcinoma Filaggrin Proteins Biology medicine.disease_cause Pathology and Forensic Medicine Pathogenesis 03 medical and health sciences 0302 clinical medicine Stomach Neoplasms Molecular genetics Biomarkers Tumor medicine Humans genetics Lymph node Gene Original Research Mutation gastric cancer Stomach Cancer Oncogenes General Medicine Prognosis medicine.disease Survival Analysis Gene Ontology 030104 developmental biology medicine.anatomical_structure 030220 oncology & carcinogenesis molecular genetics Cancer research Microsatellite Instability |
| Zdroj: | Journal of Clinical Pathology |
| ISSN: | 1472-4146 0021-9746 |
| DOI: | 10.1136/jclinpath-2019-206400 |
| Popis: | AimsGastric cancer is one of the leading causes for cancer mortality. Recent studies have defined the landscape of genomic alterations of gastric cancer and their association with clinical outcomes. However, the pathogenesis of gastric cancer has not been completely characterised.MethodsDriver genes were detected by five computational tools, MutSigCV, OncodriveCLUST, OncodriveFM, dendrix and edriver, using mutation data of stomach adenocarcinoma (STAD) from the cancer genome altas database, followed by an integrative investigation.ResultsTTN, TP53, LRP1B, CSMD3, OBSCN, ARID1A, FAT4, FLG, PCLO and CSMD1 were the 10 most frequently mutated genes. PIK3CD, NLRC3, FMNL1, TRAF3IP3 and CR1 were the top five hub genes of the blue coexpression module positively correlated with pathological tumour stage and lymph node stage (p values DNER, LHCGR, NLRP14, OR4N2, PSG6, TTC29 and ZNF568 genes was associated with increased mortality (p values ConclusionsThe driver genes shed insights into the tumourigenesis of gastric cancer and the genes DNER, LHCGR, NLRP14, OR4N2, PSG6, TTC29 and ZNF568 pave the way for developing prognostic biomarkers for the disease. |
| Databáze: | OpenAIRE |
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