Evidence map›Paper›PMID 31695415›Full record

ArticleOncoTargets and therapy2019

An immune-related gene pairs signature predicts overall survival in serous ovarian carcinoma.

Liuyan Zhang, Ping Zhu, Yao Tong, Yuzhuo Wang, Haifen Ma, Xuefei Xia, Yu Zhou, Xingguo Zhang, Feng Gao, Peng Shu

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Development and validation of a hypoxia-related gene pair signature to predict overall survival in head and neck squamous cell carcinoma.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  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

10 authors.

Liuyan Zhang *Department of Obstetrics, Beilun People's Hospital, Ningbo, People's Republic of China.
Ping Zhu *Department of Gynecology, CangZhou People's Hospital, CangZhou, People's Republic of China.
Yao TongDepartment of Molecular Biology and Genetics, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, USA.
Yuzhuo WangDepartment of Prenatal Diagnostic, CangZhou People's Hospital, CangZhou, People's Republic of China.
Haifen MaDepartment of Pathology, Beilun People's Hospital, Ningbo, People's Republic of China.
Xuefei XiaDepartment of Clinical Laboratory, Beilun People's Hospital, Ningbo, People's Republic of China.
Yu ZhouDepartment of Clinical Laboratory, Beilun People's Hospital, Ningbo, People's Republic of China.
Xingguo ZhangDepartment of Clinical Laboratory, Beilun People's Hospital, Ningbo, People's Republic of China.
Feng GaoThe Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Peng ShuDepartment of Clinical Laboratory, Beilun People's Hospital, Ningbo, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian cancer has the highest death rate of all fatal gynecological cancers. Increasing evidence has depicted the correlation between serous ovarian carcinoma prognosis and immune signature. Therefore, the aim of this study is to develop a robust prognostic immune-related gene pairs (IRGPs) signature for estimating overall survival (OS) of HGSOC.

methodsGene expression profiling and clinical information of serous ovarian carcinoma patients were derived from three public data sets, divided into training and validation cohorts. Immune genes significantly associated with prognosis were selected.

resultsAmong 1,534 immune genes, a 20 IRGPs signature was built which was significantly associated with OS in the training cohort (

conclusionWe successfully constructed a robust IRGPs signature with prognostic values for serous ovarian carcinoma, providing new insights into post-operational treatment strategies.

Indexed as

immune-related gene pairsprognosisserous ovarian carcinoma

Identifiers

PMID31695415
PMCPMC6718165

What OpenQuestion holds

Textmetadata
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.