Evidence map›Paper›PMID 42005274›Full record

ArticleInternational journal of clinical and experimental pathology2026

Prognostic value of fatty acid metabolism-related genes in colorectal cancer.

Shuling Zhou, Min Chen, Zhikun Dong, Yong Yang, Xiaorui Shi, Huan Kang, Changbei Shi, Xuan Wang

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Shuling ZhouDepartment of Radiology, Xi'an Hospital of Traditional Chinese Medicine Xi'an 710016, Shaanxi, China.
Min ChenDepartment of Oncology Radiotherapy, First Affiliated Hospital of Xi'an Jiaotong University Xi'an 710061, Shaanxi, China.
Zhikun DongDepartment of Pathology, First Affiliated Hospital of Xi'an Jiaotong University Xi'an 710061, Shaanxi, China.
Yong YangDepartment of Radiology, Xi'an Hospital of Traditional Chinese Medicine Xi'an 710016, Shaanxi, China.
Xiaorui ShiDepartment of Nuclear Medicine, Shaanxi Provincial Tumor Hospital Xi'an 710061, Shaanxi, China.
Huan KangAcademy of Computer Science and Engineering, Xi'an University of Technology Xi'an 710048, Shaanxi, China.
Changbei ShiDepartment of Nuclear Medicine, Shaanxi Provincial Tumor Hospital Xi'an 710061, Shaanxi, China.
Xuan WangDepartment of Pathology, First Affiliated Hospital of Xi'an Jiaotong University Xi'an 710061, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeColon cancer (CC), a malignancy with high global incidence and mortality, remains a major public health burden. As a pivotal aspect of tumor metabolic reprogramming, fatty acid metabolism has drawn significant research interest. This study was designed to elucidate the relationship between fatty acid metabolism-related gene expression and prognosis in patients with CC.

methodWe obtained the mRNA expression profiles and corresponding clinical information of colon cancers from The Cancer Genome Atlas (TCGA) database. Expression data of fatty acid metabolism-related genes and survival data were extracted for subsequent analysis. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses were employed to identify fatty acid metabolism-related genes associated with prognosis in CC patients. Subsequently, a prognostic model based on these six genes was constructed to predict survival probability. Patients were stratified into high-risk and low-risk groups based on the model. Differences between the two groups were analyzed, including gene set enrichment analysis (GSEA), immune cell infiltration, immunotherapy efficacy, and immune checkpoint expression levels. Furthermore, a novel nomogram incorporating the risk score, age, gender, and clinical stage was developed to predict individual patient outcome. Finally, the expression levels of the identified risk genes were validated in cell lines using quantitative real-time PCR (qRT-PCR).

results449 CC and 41 normal samples were included in this study. A prognostic model based on six fatty acid metabolism-related genes (ENO3, ELOVL3, ACOT11, ALAD, ELOVL6, ACADL) were built to evaluate the prognosis of CC patients. Patients in the high-risk group had poorer overall survival than those in the low-risk group (

conclusionTargeting fatty acid metabolism-related genes represents a promising therapeutic strategy for colon cancer (CC) that could pave the way for personalized treatment and enhanced patient survival.

Indexed as

colon cancerFatty acid metabolismimmunepredictive model

Identifiers

PMID42005274
PMCPMC13090840

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.