Evidence map›Paper›PMID 30918751›Full record

ArticlePeerJ2019

Identification of an eight-gene signature for survival prediction for patients with hepatocellular carcinoma based on integrated bioinformatics analysis.

Guo-Jie Qiao, Liang Chen, Jin-Cai Wu, Zhou-Ri Li

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. GPCRs: emerging targets for novel T cell immune checkpoint therapy.Cancer immunology, immunotherapy : CII · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. DCAF-13 is required formicroPublication biology · 2022
    Article
  12. Article
  13. The CD112R/CD112 axis: a breakthrough in cancer immunotherapy.Journal of experimental & clinical cancer research : CR · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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 at 2 institutions in 1 country.

Guo-Jie Qiao *Institute of Tropical Agriculture and Forestry, Hainan University, Hainkou, China.
Liang Chen *Department of Hepatobiliary Surgery, Hainan Provincial People's Hospital, Hainan Medical College, Hainkou, China.
Jin-Cai WuDepartment of Hepatobiliary Surgery, Hainan Provincial People's Hospital, Hainan Medical College, Hainkou, China.
Zhou-Ri LiInstitute of Tropical Agriculture and Forestry, Hainan University, Hainkou, China.
Hainan Medical College Hospital · CNHainan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) remains one of the leading causes of cancer-related death worldwide. Despite recent advances in imaging techniques and therapeutic intervention for HCC, the low overall 5-year survival rate of HCC patients remains unsatisfactory. This study aims to find a gene signature to predict clinical outcomes in HCC.

methodsBioinformatics analysis including Cox's regression analysis, Kaplan-Meier (KM) and receiver operating characteristic curve (ROC) analysis and the random survival forest algorithm were performed to mine the expression profiles of 553 hepatocellular carcinoma (HCC) patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) public database.

resultsWe selected a signature comprising eight protein-coding genes (DCAF13, FAM163A, GPR18, LRP10, PVRIG, S100A9, SGCB, and TNNI3K) in the training dataset (AUC = 0.77 at five years,

conclusionsWe constructed an eight-gene signature that can be a novel prognostic marker to predict the survival of HCC patients.

Indexed as

Gene signatureHepatocellular carcinomaOverall survivalPrognostic marker

Identifiers

PMID30918751
PMCPMC6431139
OpenAlexW2925287488

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.