Evidence map›Paper›PMID 36304495›Full record

ArticleJournal of clinical and translational hepatology2022

Establishment of a Prognostic Model for Hepatocellular Carcinoma Based on Bioinformatics and the Role of NR6A1 in the Progression of HCC.

Zhong-Hua Lin, Jie Zhang, Li-Kun Zhuang, Yong-Ning Xin, Shi-Ying Xuan

Open access · diamondAbstract read
In one paragraph

Article in Journal of clinical and translational hepatology, 2022. 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
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. [EHHADH is a key gene in fatty acid metabolism pathways in hepatocellular carcinoma: a transcriptomic analysis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    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 at 1 institution in 1 country.

Zhong-Hua LinCollege of Medicine and Pharmaceutics, Ocean University of China, Qingdao, Shandong, China.ORCID https://orcid.org/0000-0002-2737-0525
Jie ZhangMedical College, Qingdao University, Qingdao, Shandong, China.
Li-Kun ZhuangClinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, Shandong, China.
Yong-Ning XinCollege of Medicine and Pharmaceutics, Ocean University of China, Qingdao, Shandong, China.ORCID https://orcid.org/0000-0002-3692-7655
Shi-Ying XuanCollege of Medicine and Pharmaceutics, Ocean University of China, Qingdao, Shandong, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Generally acceptable prognostic models for hepatocellular carcinoma (HCC) are not available. This study aimed to establish a prognostic model for HCC by identifying immune-related differentially expressed genes (IR-DEGs) and to investigate the potential role of Methods: Bioinformatics analysis using The Cancer Genome Atlas and ImmPort databases was used to identify IR-DEGs. Lasso Cox regression and multivariate Cox regression analysis were used to establish a prognostic model of HCC. Kaplan-Meier analysis and the receiver operating characteristic (ROC) curves were used to evaluate the performance of the prognostic model, which was further verified in the International Cancer Genome Consortium (ICGC) database. Gene set enrichment analysis was used to explore the potential pathways of Results: A prognostic model established based on ten identified IR-DEGs including Conclusions: An effective prognostic model for HCC, based on a novel signature of 10 immune-related genes, was established.

Indexed as

Bioinformatics analysisHepatocellular carcinomaMigrationNR6A1Prognostic modelProliferationTumorigenesis

Identifiers

PMID36304495
PMCPMC9547269
OpenAlexW4290614100

What OpenQuestion holds

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LicenceCC BY-NC
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.