Evidence mapPaperPMID 40831993Full record

ArticleClinical Medicine Insights. Oncology2025

Xiyun Chen, Guang Yang, Cheng Lou, Yulong Dong, Zhengang Yuan

Abstract read
In one paragraph

Article in Clinical Medicine Insights. Oncology, 2025. 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

5 authors.

Xiyun ChenDepartment of Oncology, Third Affiliated Hospital of Naval Medical University, Shanghai, China.ORCID https://orcid.org/0000-0002-8294-0033
Guang YangDepartment of Oncology, Third Affiliated Hospital of Naval Medical University, Shanghai, China.
Cheng LouDepartment of Oncology, Third Affiliated Hospital of Naval Medical University, Shanghai, China.
Yulong DongDepartment of Oncology, Third Affiliated Hospital of Naval Medical University, Shanghai, China.
Zhengang YuanDepartment of Oncology, Third Affiliated Hospital of Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intrahepatic cholangiocarcinoma (ICC) is a primary liver cancer typically diagnosed at advanced stages, limiting treatment options and reducing survival rates. Targeted therapy presents a promising strategy to improve outcomes. This study aims to identify novel molecular biomarkers influencing ICC development and explore their roles in tumor progression. Methods: Data from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were analyzed using weighted gene co-expression network analysis (WGCNA) to identify genes related to tumor metastasis and recurrence. Survival analysis and gene set enrichment analysis (GSEA) assessed the relationship between gene expression and survival, as well as associated signaling pathways. Cellular experiments, including small interfering RNA (siRNA) knockdown, cell viability assays, Transwell migration assays, and flow cytometry, were performed. Results: The Kaplan-Meier analysis showed that ICC patients with high N-acetyltransferase 2 (NAT2) expression had significantly shorter survival times than those with low expression ( Conclusion: NAT2, a novel therapeutic target, holds significant potential to improve the prognosis of ICC patients.

Indexed as

bioinformaticscell apoptosisIntrahepatic cholangiocarcinomaNAT2therapeutic target

Identifiers

PMID40831993
PMCPMC12358714

What Socratic holds

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LicenceCC BY-NC
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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.