Evidence map›Paper›PMID 40998932›Full record

ArticleScientific reports2025

Prognostic signature and tumor microenvironment infiltration based on amino acid metabolism-related genes and lncRNAs of colorectal cancer.

Yuanjun Xu, Fan Wu, Yilin Wu, Enqing Zhuo, Jie Zeng, Donglin Cao

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Article in Scientific reports, 2025. 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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5 · Who and what money

Authors and funding

6 authors.

Yuanjun XuDepartment of Laboratory Medicine, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, 510317, China.
Fan WuDepartment of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510280, China.
Yilin WuDepartment of Cardiology, , The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, 510317, China.
Enqing ZhuoDepartment of 2nd Oncology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, 510317, China.
Jie ZengDepartment of Internet Medical Center, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, 510317, China.
Donglin CaoDepartment of Laboratory Medicine, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, Guangdong, 510317, China. donglincaodr@yeah.net.

Funding

GuangDong Basic and Applied Basic Research Foundation 2021A1515220067;2021A1515110712Guangdong Provincial Key R&D Programme 2022B1111020003Guangdong Second Provincial General Hospital Youth Fund YQ2019-006Guangzhou Science and Technology Program Project 2023A03J0284The Technology Research Program of Guangzhou City 202201020560;2023A03J0283
6 · The paper itself

Abstract

Colorectal carcinoma (CRC) is a prevalent malignancy affecting the digestive system. However, the role of amino acid metabolism-related LncRNAs in predicting CRC prognosis and influencing the tumor microenvironment remains unclear. Amino acid metabolism-related genes (AAMGs) were curated from MSigDB databases. Subsequently, RNA-seq data from TCGA-CRC underwent differential expression analysis. Univariate Cox regression analysis was employed to identify AAMGs associated with prognosis, while Pearson correlation analysis facilitated the identification of lncRNAs correlated with amino acid metabolism (AAMLs). Furthermore, the tumor microenvironment of the two risk groups was comprehensively examined utilizing the ESTIMATE and Cibersort algorithms. Additionally, the cell proliferation and apoptosis were detected with CCK8 and flow cytometer. LINC01354, LINC02257, AC083967.1, AC005342.2, and AC005050.3 expressions would be used for a prognostic model constructing for CRC, and the prognosis of high-risk group was significantly worse than that of low-risk. These lncRNAs are closely associated with macrophages and Th subset cells, indicating their potential role in the immune microenvironment. There were significant differences in the immune microenvironment between the two groups. In addition, LINC01354 siRNA or LINC02257 siRNA inhibits the proliferation and migration of HCT116 cells. LncRNAs associated with amino acid metabolism exhibit prognostic significance and possess the potential to predict the response to immunotherapy in CRC. This suggests a pivotal role for these lncRNAs in the progression of cancer.

Indexed as

Colorectal NeoplasmsRNA, Long NoncodingTumor MicroenvironmentAmino AcidsBiomarkers, TumorCell ProliferationGene Expression Regulation, NeoplasticHCT116 CellsPrognosisRNA-SeqTranscriptomeAmino AcidsBiomarkers, TumorRNA, Long NoncodingAmino acid metabolismImmune microenvironmentlncRNAsPrognostic

Identifiers

PMID40998932
PMCPMC12464214

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