Evidence map›Paper›PMID 38527449›Full record

ArticleOncology2024

Plasma Cell-Free Adenomatous Polyposis Coli Gene Promoter Methylation as a Prognostic Biomarker for Hepatocellular Carcinoma.

Chih-Yang Hsiao, Chang-Yi Lu, Hung-Ju Su, Kai-Wen Huang

Abstract read
In one paragraph

Article in Oncology, 2024. 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

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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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Chih-Yang HsiaoGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan, cyhsiao1102@gmail.com.
Chang-Yi LuPhalanx Biotech Group, Hsinchu, Taiwan.
Hung-Ju SuPhalanx Biotech Group, Hsinchu, Taiwan.
Kai-Wen HuangGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHepatocellular carcinoma (HCC) is a leading cause of cancer death worldwide. Lack of biomarkers for follow-up after treatment is a clinical challenge. DNA methylation has been proposed to be a potential biomarker in HCC. However, there is still a lack of evidence of its clinical use. This study aimed to evaluate the value of using plasma Adenomatous Polyposis Coli promoter methylation level (APC-MET) as a potential biomarker in HCC treatment.

methodA total of 96 patients with HCC at BCLC stage B who underwent local tumor ablation treatment were prospectively included in this study. APC-MET was examined in the plasma of each patient before and 1 month after treatment. The prediction value of APC-MET for survival outcome and disease status after treatment was analyzed and adjusted with alpha-fetoprotein and protein induced by vitamin K absence-II using Cox regression analysis.

resultsUnivariate Cox regression analysis showed preoperative APC-MET >0 (HR, 2.9, 95% CI: 1.05-8.05, p = 0.041) and postoperative APC-MET >0 (HR, 3.47, 95% CI: 1.16-10.4, p = 0.026) were both predictors of death, and preoperative APC-MET >0 was a predictor of disease progression after treatment (HR, 2.04, 95% CI: 1.21-3.44, p = 0.007). In multivariate models, preoperative APC-MET >0 was a significant predictor of disease progression after adjusting with the other two traditional biomarkers (HR, 1.82, 95% CI: 1.05-3.17, p = 0.034).

conclusionsHypermethylation of APC promoter appears to be a potential biomarker that could predict patient survival and disease progression outcomes in patients with intermediate-stage HCC after local ablation treatment.

Indexed as

Adenomatous Polyposis Coli ProteinBiomarkers, TumorCarcinoma, HepatocellularDNA MethylationLiver NeoplasmsPromoter Regions, GeneticAdultAgedFemaleHumansMaleMiddle AgedPrognosisProspective StudiesAdenomatous Polyposis Coli ProteinBiomarkers, TumorBiomarkerDNA methylationHepatocellular carcinomaLocal ablationOutcome

Identifiers

PMID38527449
PMCPMC11548096

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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.