Evidence map›Paper›PMID 36212175›Full record

ArticleDisease markers2022

Identification and Validation of an Inflammatory Response-Related Polygenic Risk Score as a Prognostic Marker in Hepatocellular Carcinoma.

Huang Xiaochun, Pang Feixiong, Ou Shengsong, Wei Xiaojiao, Xu Yuju, Lai Yanhua

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 50% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Huang XiaochunGuangxi Academy of Medical Sciences, Nanning, Guangxi, China.
Pang FeixiongGuangxi Academy of Medical Sciences, Nanning, Guangxi, China.
Ou ShengsongGuangxi Academy of Medical Sciences, Nanning, Guangxi, China.
Wei XiaojiaoGuangxi Academy of Medical Sciences, Nanning, Guangxi, China.
Xu YujuGuangxi Academy of Medical Sciences, Nanning, Guangxi, China.
Lai YanhuaGuangxi Academy of Medical Sciences, Nanning, Guangxi, China.ORCID https://orcid.org/0000-0002-9474-6350
The People's Hospital of Guangxi Zhuang Autonomous Region · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: We hypothesized that the expression patterns of inflammatory response-related genes may be a potential tool for hepatocellular carcinoma (HCC) risk scoring. Background: Inflammatory response plays a pivotal role in the pathogenesis of HCC. Objective: To establish and validate a hallmark inflammatory response gene-based polygenic risk score as a prognostic tool in HCC. Methods: We screened differentially expressed inflammatory response genes and established an inflammatory response-related polygenic risk score (IRPRS) in an HCC-related dataset. Patients with HCC were categorized into high- and low-risk groups according to the median IRPRS, and the overall survival between the two groups was compared. The IRPRS was validated in an independent external dataset. Tumor-infiltrating lymphocytes (TILs) in high- and low-risk groups were compared, and gene set enrichment analysis was performed to characterize high-risk HCC identified using this IRPRS. Results: Four differentially expressed hallmark inflammatory response genes ( Conclusions: We established and validated a four-hallmark inflammatory response gene-based polygenic risk score, which could successfully divide patients with HCC into high-risk and low-risk groups. These two risk groups of HCC possess significantly distinct prognostic and biological characteristics.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsGene Expression Regulation, NeoplasticHumansPrognosisRisk Factors

Identifiers

PMID36212175
PMCPMC9534708
OpenAlexW4297478116

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.