Evidence map›Paper›PMID 39762905›Full record

ArticleBiology direct2025

Utilizing liquid-liquid biopolymer regulators to predict the prognosis and drug sensitivity of hepatocellular carcinoma.

Jianhao Li, Han Chen, Lang Bai, Hong Tang

Abstract read
In one paragraph

Article in Biology direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Jianhao Li *Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, 610041, China.
Han Chen *Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, 610041, China.
Lang BaiCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, 610041, China. pangbailang@163.com.
Hong TangCenter of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, 610041, China. tanghong6198@wchscu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiquid-liquid phase separation (LLPS) is essential for the formation of membraneless organelles and significantly influences cellular compartmentalization, chromatin remodeling, and gene regulation. Previous research has highlighted the critical function of liquid-liquid biopolymers in the development of hepatocellular carcinoma (HCC).

methodsThis study conducted a comprehensive review of 3,685 liquid-liquid biopolymer regulators, leading to the development of a LLPS related Prognostic Risk Score (LPRS) for HCC through bootstrap-based univariate Cox, Random Survival Forest (RSF), and LASSO analyses. A prognostic nomogram for HCC patients was developed using LPRS and other clinicopathological factors. We utilized SurvSHAP to identify key genes within the LPRS influencing HCC prognosis. To validate our findings, we collected 49 HCC cases along with adjacent tissue samples and confirmed the correlation between DCAF13 expression and HCC progression through qRT-PCR analysis and in vitro experiments.

resultsLPRS was established with 8 LLPS-related genes (TXN, CBX2, DCAF13, SLC2A1, KPNA2, FTCD, MAPT, and SAC3D1). Further research indicated that a high LPRS is closely associated with vascular invasion, histological grade (G3-G4), and TNM stage (III-IV) in HCC, concurrently establishing LPRS as an independent risk factor for prognosis. A nomogram that integrates LPRS with TNM staging and patient age markedly improves the predictive accuracy of survival outcomes for HCC patients. Our findings suggest that increased DCAF13 expression in HCC plays a crucial role in cancer progression and angiogenesis. Navitoclax has emerged as a promising treatment for HCC patients with high LPRS levels, offering a novel therapeutic direction by targeting LLPS.

conclusionWe have formulated a novel LPRS model that is capable of accurately predicting the clinical prognosis and drug sensitivity of HCC. DCAF13 might play a pivotal role in malignant progression mediated by LLPS.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiopolymersFemaleHumansMaleMiddle AgedNomogramsPrognosisBiopolymersDCAF13Hepatocellular carcinomaLiquid–liquid phase separationPrognosisTumor microenvironment

Identifiers

PMID39762905
PMCPMC11705666

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.