Evidence map›Paper›PMID 41618991›Full record

ArticleMolecular genetics and genomics : MGG2026

A combined computational and functional approach identifies FBLN5 as an amino acid metabolism-related gene and suppressing colorectal cancer progression.

Jiezhi Chen, Yang Bai, Shiyi Liu, Changwei Lin

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Jiezhi ChenDepartment of Gastrointestinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, P. R. China.
Yang BaiDepartment of Gastrointestinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, P. R. China.
Shiyi LiuDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200001, P. R. China. liushiyi1026@163.com.
Changwei LinDepartment of Gastrointestinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, P. R. China. linchangwei@csu.edu.cn.ORCID http://orcid.org/0000-0003-1676-0912

Funding

Education and Teaching Reform Project of Central South University No. 2022jy176Hunan Provincial Health High-Level Talent Scientific Research No. R2023037Science and Technology Program of Hunan Province 2022RC1218the Wisdom Accumulation and Talent Cultivation Project of the Third Xiangya Hospital of Central South University No. YX202107
6 · The paper itself

Abstract

The importance of amino acid metabolism in regulating cancers progression was investigated by accumulating research. But the role of amino acid metabolism-related genes (AAMRGs) played in the colorectal cancer (CRC) progression remains unclear. We used Cox-LASSO analysis to construct an AAMRG prognostic signature and performed Gene set enrichment analysis (GSEA) for further investigation. Moreover, RT‒qPCR was adopted to estimate the expression of AAMRGs in clinical samples. Cell-based assays, including CCK-8, colony formation, and transwell assays were also performed to identify the roles of fibulin 5 (FBLN5) in CRC progression. We established a 10-AAMRG prognostic signature and stratified CRC samples into two risk groups, which showed significant differences in immune infiltration and EMT. RT-qPCR and human protein atlas data confirmed the mRNA and protein expression of these 10 AAMRGs, validating our bioinformatics findings. Importantly, functional assays revealed that FBLN5 overexpression suppressed CRC cell proliferation, migration, and invasion in vitro, as well as tumor growth in vivo. Our study establishes a novel 10-AAMRG signature as a promising predictor of therapeutic response and prognosis in CRC, and we identify FBLN5 as a pivotal protective factor in CRC progression, offering potential therapeutic value for targeted interventions.

Indexed as

Amino AcidsCalcium-Binding ProteinsColorectal NeoplasmsExtracellular Matrix ProteinsAnimalsBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationComputational BiologyDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleMiceAmino AcidsBiomarkers, TumorCalcium-Binding ProteinsExtracellular Matrix ProteinsAcid metabolic reprogrammingColorectal cancerFBLN5Prognostic signatureTumor progression

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.