Evidence map›Paper›PMID 42339048›Full record

ArticleInternational journal of genomics2026

Integrative Genomic Analysis Reveals Pseudouridine Modification-Related Gene Signatures Associated With Prognosis and Therapeutic Response Patterns in Hepatocellular Carcinoma.

Zeying Gan, Tingyuan Fan, Wenjuan Wang, Xiao Qiao, Mingming Zhao

Abstract read
In one paragraph

Article in International journal of genomics, 2026. 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

5 authors.

Zeying GanDepartment of Critical Care Medicine, The Fourth Hospital of Changsha (Integrated Traditional Chinese and Western Medicine Hospital of Changsha, Changsha Hospital of Hunan Normal University), Changsha, China.
Tingyuan FanDepartment of Laboratory Medicine, The Yangzhou Clinical Medical College of Xuzhou Medical University, Yangzhou, China.
Wenjuan WangDepartment of Gastroenterology, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning, China, sysu.edu.cn.
Xiao QiaoDepartment of Gastroenterology, The Second People's Hospital of Huai'an, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China.ORCID https://orcid.org/0009-0001-9959-3664
Mingming ZhaoDepartment of Gastroenterology, The Second People's Hospital of Huai'an, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China.ORCID https://orcid.org/0009-0002-7430-9433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatocellular carcinoma (HCC) is a genomically heterogeneous malignancy with substantial variability in prognosis and therapeutic response. Pseudouridine ( Methods: Transcriptomic datasets and matched clinical information were collected from TCGA, GEO, and ICGC. Using feature-selection procedures and survival modeling, we established a pseudouridine-related risk signature. We next compared risk groups for genomic change, pathways, immune traits, and predicted drug response. Selected genes were tested in HCC cells by qPCR and CCK-8. Results: The PDGs signature split HCC patients into high- and low-risk groups with different survival and remained prognostic after adjustment. The groups also differed in mutation, pathways, immunity, and chemotherapy response. DKC1 and PUS1 knockdown reduced proliferation. Conclusions: This study identifies a PDGs signature linked with prognostic heterogeneity in HCC, supported by computational and experimental evidence.

Indexed as

gene signaturegenomic heterogeneityhepatocellular carcinomain vitro validationmachine learningprognosispseudouridine modification

Identifiers

PMID42339048
PMCPMC13285331

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Registered trials

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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.