Evidence map›Paper›PMID 39583658›Full record

ArticleACS omega2024

Multi-omics Insights into PDHA1 as a Predictive Biomarker for Prognosis, Immunotherapy Efficacy, and Drug Sensitivity in Hepatocellular Carcinoma.

Yong Pan, Yiru Zhang, Daiwen Mao, Zhou Fang, Yingqiu Ma, Danwen Jin, Shibo Li

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors.

Yong PanDepartment of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan 316021, China.ORCID https://orcid.org/0009-0001-0837-9233
Yiru ZhangState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Hangzhou 310003, China.
Daiwen MaoDepartment of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan 316021, China.
Zhou FangDepartment of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan 316021, China.
Yingqiu MaDepartment of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan 316021, China.
Danwen JinPathological Diagnosis Center, Zhoushan Hospital, Wenzhou Medical University, Zhoushan 316021, China.
Shibo LiDepartment of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan 316021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PDHA1 was associated with metabolic reprogramming in tumor progression. However, the clinical value of PDHA1, especially for prediction of drug sensitivity in hepatocellular carcinoma (HCC), has not been fully investigated. In this study, we found that PDHA1 expression was higher in HCC tissues compared to normal tissues and was correlated with poor prognosis in HCC patients. PDHA1 expression was mainly positively associated with immune cell infiltration using the TIMER, XCell, MCPCOUNTER, CIBERSORT, EPIC, and QUANTISEQ algorithms, which was validated by single-cell RNA-sequencing analysis. We also discovered that PDHA1 expression was correlated with six immune checkpoint-related genes. Univariate and multivariate Cox regression analyses revealed that PDHA1 expression was an independent prognostic indicator for HCC patients, and the nomogram incorporating PDHA1 expression exhibited excellent predictive capacity. Furthermore, PDHA1 expression was positively linked to the sensitivity of 5-fluorouracil, gemcitabine, paclitaxel, and sorafenib, and the molecular docking analysis demonstrated their excellent binding affinity.

Identifiers

PMID39583658
PMCPMC11579764

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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.