Evidence map›Paper›PMID 37480430›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

Development of fatty acid metabolism score based on gene signature for predicting prognosis and immunotherapy response in colon cancer.

Changchun Ye, Qi Sun, Jun Yan, Dong Xue, Jiarui Xu, Haiyun Ma, Fanni Li

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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Changchun Ye *Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Qi Sun *Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Jun YanDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Dong XueDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Jiarui XuDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Haiyun MaDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Fanni LiDepartment of Talent Highland, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, Shaanxi, China. fannycpu@163.com.ORCID http://orcid.org/0000-0003-3573-0700
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

Institutional Foundation of The First Affiliated Hospital of Xi'an Jiaotong University 2022MS-18Institutional Foundation of The First Affiliated Hospital of Xi'an Jiaotong University 2022YQPY07Institutional Foundation of The First Affiliated Hospital of Xi'an Jiaotong University YXJLRH2022044National Natural Science Foundation of China 81702362National Natural Science Foundation of China 81803026National Natural Science Foundation of China 82073271Science and Technology Program of Shaanxi Province 2023KJXX-031
6 · The paper itself

Abstract

purposeMetabolic reprogramming is a novel hallmark and therapeutic target of cancer. Our study aimed to establish fatty acid metabolism-associated scores based on gene signature and investigated its effects on immunotherapy in colon cancer.

methodsGene expression and clinical information were collected from Gene Expression Omnibus (GEO) database to identify a gene signature by non-negative matrix factorization (NMF) clustering and Cox regression analysis. Subsequently, we constructed the fatty acid metabolism score (FA-score) model by principal component analysis (PCA) and explored its relativity of prognosis and the response to immunotherapy in colon cancer. Finally, the Cancer Genome Atlas (TCGA) database was introduced and in vitro study was performed for verification.

resultsThe FA-score-high group had a higher level of fatty acid metabolism and was associated with worse patient overall survival. Significantly, FA-score correlated closely with the biomarkers of immunotherapy, and the FA-score-high group had a poorer therapeutic efficacy of immune checkpoint blockade. In vitro experiments demonstrated that ACSL5 may be a critical metabolic regulatory target.

conclusionsOur study provided a comprehensive analysis of the heterogeneity of fatty acid metabolism in colon cancer. We highlighted the potential clinical utility of fatty acid metabolism-related genes to be biomarkers of colon cancer prognosis and targets to improve the effect of immunotherapy.

Indexed as

Colonic NeoplasmsBiomarkersFatty AcidsHumansImmunotherapyPrognosisBiomarkersFatty AcidsACSL5Colon cancerFatty acid metabolismGene signatureImmunotherapeutic responsePrincipal component analysis

Identifiers

PMID37480430
OpenAlexW4385075390

What OpenQuestion holds

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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.