Evidence map›Paper›PMID 41695331›Full record

ArticleFrontiers in oncology2026

LPCAT1 as a prognostic biomarker and risk indicator for hepatocellular carcinoma: insights into genes related to lipid metabolism.

Hang Zhai, Jicai Wang, Yongfei He, Shengjie Hong, Kai Huang, Shuai Hu, Junming Xu, Shuang Hao, Guangquan Zhang, Xianjie Shi

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

10 authors.

Hang Zhai *Department of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Jicai Wang *Department of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yongfei He *Department of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Shengjie HongDepartment of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Kai HuangDepartment of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Shuai HuDepartment of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Junming XuDepartment of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Shuang HaoDepartment of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Guangquan ZhangDepartment of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Xianjie ShiDepartment of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatocellular carcinoma (HCC) is a lethal malignancy. Lipid metabolic reprogramming influences therapy response, but its prognostic value is undefined. Methods: From TCGA and GEO data, we derived an 8-gene lipid metabolism-related risk score (LMrisk) via LASSO regression. Its associations with tumor immunity and drug sensitivity were analyzed. The lead gene, Results: The LMrisk signature robustly stratified patient survival in both cohorts. Integrated analysis identified Conclusion:

Indexed as

hepatocellular carcinomalipid metabolismLPCAT1prognostic biomarkertargeted therapy and immunotherapy

Identifiers

PMID41695331
PMCPMC12900719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.