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pmid:34340665
Upregulated NLGN1 predicts poor survival in colorectal cancer.
Qian Yu · Xiaojie Wang · Yinghong Yang · Pan Chi · Jianping Huang · Shengliang Qiu · Xin Zheng · Xiaowen Chen
BMC cancer · 2021 doi:10.1186/s12885-021-08621-x
Paper
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Experiment
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Data
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Complete file
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The clinical value of NLGN1 in colorectal cancer (CRC) is not clear.\nMETHODS: We obtained the expression data of 1143 CRC patients from 3 independent Gene Expression Omnibus (GEO) datasets (GSE32323, GSE24551, GSE39582) and The Cancer Genome Atlas (TCGA) to make the comparison of the NLGN1 expression level between CRC tissues and matched noncancerous tissues, and to evaluate its value in predicting survival of CRC patients. At the protein level, these results were further confirmed by immunohistochemical staining of 52 CRC samples in our own centre. Finally, the function of NLGN1 was explored by gene set enrichment analysis (GSEA).\nRESULTS: Increased mRNA and protein levels of NLGN1 expression were associated with worse overall survival or recurrence-free survival in CRC patients from 2 GEO datasets, the TCGA database, and our cohort. In addition, multivariate regression analysis showed that NLGN1 was an independent poor prognostic factor of survival in patients with CRC in TCGA database (OR = 2.524, P = 0.010). Functional analysis revealed that NLGN1 was correlated with function involving the Hedgehog signaling pathway, mismatch repair process, and some material metabolism processes.\nCONCLUSIONS: This study is the first to implicate and verify NLGN1 as a new poor prognostic marker for CRC.", "claims": [{"id": "claim-method", "statement": "Percent survival was calculated using the Kaplan-Meier method compared by log-rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34340665", "locator": "sections[7] \"Statistical analysis\" paragraph 2", "quote": "Percent survival was calculated using the Kaplan-Meier method compared by log-rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The dataset supporting the conclusions of this article is included within the article. All TCGA related data can be obtained from the TCGA Data Portal via https://tcga-data.nci.nih.gov/. 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