Evidence map›Paper›PMID 40188284›Full record

ArticleScientific reports2025

A lipid metabolism related gene signature predicts postoperative recurrence in pancreatic cancer through multicenter cohort validation.

Zhaoda Deng, Zitong Yang, Lincheng Li, Guineng Zeng, Zihe Meng, Rong Liu

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2025. 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
–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

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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.

  1. Observational
  2. 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

6 authors.

Zhaoda Deng *Medical School of Chinese PLA, Beijing, China.
Zitong Yang *Medical School of Chinese PLA, Beijing, China.
Lincheng Li *Department of Surgery, Second Mobile Corps Hospital of Chinese People's Armed Police Force, Wuxi, China.
Guineng ZengFaculty of Hepato-Pancreato-Biliary Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Zihe MengFaculty of Hepato-Pancreato-Biliary Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Rong LiuMedical School of Chinese PLA, Beijing, China. liurong301@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative recurrence of pancreatic adenocarcinoma (PAAD) remains a major challenge. This study aims to establish and validate a lipid metabolism-related prognostic model to predict recurrence in PAAD patients. The TCGA-PAAD database was used to establish a training cohort, which was validated using the ICGC database and multiple center cohorts. A prognostic model based on LASSO Cox regression and a nomogram was developed and further validated. Among 196 lipid metabolism-related genes, four were selected for the prognostic model. Patients were stratified into high- and low-risk groups based on the risk score. Univariate and multivariate Cox regression analyses showed that tumor site, T stage, N stage, M stage, and risk score were significantly associated with progression-free interval (PFI). High-risk patients had worse PFI, overall survival (OS), and disease-specific survival (DSS) (all P < 0.05). Time-dependent ROC and decision curve analyses confirmed the superior diagnostic capacity of the nomogram. GSEA revealed enrichment in G2M checkpoint, glycolysis, estrogen response, and hypoxia pathways for the high-risk group. Additionally, high-risk scores correlated with poor immune infiltration, gene mutations, and tumor mutational burden (TMB). Single-cell analysis suggested that risk genes interact with various cell types to promote PAAD progression. A novel lipid metabolism-related prognostic model was developed and validated to predict recurrence and survival in PAAD patients, with strong accuracy and stability.

Indexed as

AdenocarcinomaLipid MetabolismNeoplasm Recurrence, LocalPancreatic NeoplasmsTranscriptomeAgedBiomarkers, TumorCohort StudiesFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNomogramsPrognosisBiomarkers, Tumor

Identifiers

PMID40188284
PMCPMC11972318

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