Evidence map›Paper›PMID 41378012›Full record

ArticleTranslational cancer research2025

Fatty acid metabolism-related signature suggests an oncogenic role of

Qinli Yang, Jing Zhang, Xiujuan Shang, Bohao Sun, Tong Wang, Yichen Wu, Chunhong Zhu, Wenqing Xiang, Hao Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational cancer research, 2025. 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

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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Qinli Yang *Department of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Jing Zhang *Department of Pathology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xiujuan Shang *Department of Laboratory Medicine, Lianyungang Affiliated Hospital of Nanjing University of Chinese Medicine, Lianyungang, China.
Bohao SunDepartment of Pathology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Tong WangDepartment of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Yichen WuDepartment of Pathology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Chunhong ZhuWangjiang Subdistrict Community Healthcare Center, Hangzhou, China.
Wenqing XiangDepartment of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Hao WangDepartment of Clinical Laboratory, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The metabolism of fatty acids is essential in the initiation and progression of cervical cancer. The objective of this research is to develop a prognostic model associated with fatty acid metabolism and to identify the Methods: This prognostic model was developed using least absolute shrinkage and selection operator (LASSO) regression analysis on the training cohort derived from The Cancer Genome Atlas (TCGA) dataset. A nomogram for overall survival (OS) was effectively constructed by integrating the model risk scores with clinical characteristics. Furthermore, we analyzed various correlations involving pathway enrichment, therapeutic approaches, immune cell infiltration, and the prognostic model itself. The functional significance of the Results: We developed a prognostic model that includes eight genes: Conclusions: This study clarified a specific signature associated with fatty acid metabolism, specifically

Indexed as

cervical cancerclinical stageFASNimmune cell infiltrationpoor-prognosis

Identifiers

PMID41378012
PMCPMC12686213

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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.