Evidence map›Paper›PMID 39525028›Full record

ArticleTranslational cancer research2024

Construction and validation of prognostic model for colorectal mucinous adenocarcinoma patients and identification of a new prognosis related gene

Xiangwen Tan, Qing Fang, Yunhua Xu, Shuxiang Li, Jinyi Yuan, Kunming Xu, Xiguang Chen, Guang Fu, Yarui Liu, Qiulin Huang and 2 more

Abstract read
In one paragraph

Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Xiangwen Tan *Department of Hepatobiliary Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Qing Fang *Department of Gastrointestinal Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Yunhua Xu *Cancer Research Institute, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Shuxiang LiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Jinyi YuanDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Kunming XuDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Xiguang ChenCancer Research Institute, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Guang FuDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Yarui LiuDepartment of Pharmacy, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qiulin HuangDepartment of Gastrointestinal Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Xiuda PengDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Shuai XiaoCancer Research Institute, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mucinous adenocarcinoma (MAC) is a peculiar histological subtype of colorectal cancer (CRC) with distinct medical, disease-related, and genetic characteristics. The prognosis of MAC is generally poorer less favorable compared to non-specific adenocarcinoma (AC), but the prognostic indicator of MAC is rare. Therefore, this study aims to identify potential biomarkers and construct a prognostic model to better predict patient outcomes in MAC. Methods: We conducted differential genes expression investigation, weighted gene co-expression network analysis (WGCNA), and least absolute shrinkage and selection operator (LASSO)-Cox regression model using RNA sequencing (RNA-seq) data from The Cancer Genome Atlas (TCGA) to pinpoint hub genes. Then, the hub genes were used to construct a prognostic model for MAC. Kaplan-Meier survival, receiver operating characteristic (ROC), and Cox regression analysis were used to assess the prognostic utility of the model. The potential biological function of the hub gene was examined using gene set enrichment analysis (GSEA). Results: Four hub genes, Conclusions: We have developed and validated a four-gene prognostic model to predict the survival of MAC. Additionally, we found that

Indexed as

biomarkercolorectal cancer (CRC)FAM174BMucinous adenocarcinoma (MAC)prognosis

Identifiers

PMID39525028
PMCPMC11543054

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