Evidence map›Paper›PMID 35901333›Full record

SynthesisAsian Pacific journal of cancer prevention : APJCP2022

PD-L1 and the Clinical Outcomes of Ovarian Cancer: Meta-Analysis and Bioinformatical Analysis.

Xiaoling Shi, Liu Yun, Liu Chaoqun Liu, Hui Ding, Dan Liang, Fang Geng, Hainan Yu, Jinxiu Ban, Jiajing Li, Tao Jiang and 1 more

Open access · goldAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Asian Pacific journal of cancer prevention : APJCP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Xiaoling ShiDepartment of Toxicology, Guilin Medical University, Guilin 541004, China.
Liu YunDepartment of Gynaecology and Obstetrics, Kailuan General Hospital,Tangshan, Hebei, 063000, China.
Liu Chaoqun LiuDepartment of Nutrition, School of Medicine, Jinan University, Guangzhou, Guangdong, China.
Hui DingDepartment of Pharmaceutical Analysis, School of Pharmacy Yancheng Teachers University, Yancheng, Jiangsu, China.
Dan LiangDepartment of Toxicology, Guilin Medical University, Guilin 541004, China.
Fang GengDepartment of Clinical Laboratory, Tangshan Maternity and Children & Health Care Hospital, Tangshan, Hebei, 063000, China.
Hainan YuDepartment of Toxicology, Guilin Medical University, Guilin 541004, China.
Jinxiu BanDepartment of Toxicology, Guilin Medical University, Guilin 541004, China.
Jiajing LiDepartment of Toxicology, Guilin Medical University, Guilin 541004, China.
Tao JiangDepartment of Toxicology, Guilin Medical University, Guilin 541004, China.
Yi SunDepartment of Toxicology, Guilin Medical University, Guilin 541004, China.
Guilin Medical University · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA meta-analysis was performed to analyze the association between PD-L1 expression and overall survival (OS) in various tumors and to identify potential targets through biological information analysis.

methodsthe data were collected from PubMed and Cochrane library, the all analysis of our study were conducted by STATA software and online website.

resultsTen articles (including 11 studies) that met all inclusion criteria were obtained. The combined HR showed that high PD-L1 expression was significantly associated with poor overall survival (HR = 1.84, 95% CI: 1.15-2.93). Pathway analysis revealed that the upregulated genes were primarily involed in biological processes, including nucleic acid transcription, biosynthesis and negative regulation of cell metabolism. The downregulated genes were primarily involed in the regulation of cell cycle, including chromosome separation and DNA metabolism. The top ten genes that were identified were hub genes (CDK1, CCNB1, CCNA2, KIF11, CDC20, UBE2C, NCAPG, AURKA, AURKB, CHEK1), which had significant function in cell differentiation and virus infection. The Kaplan-Meier survival curve indicated that CCNB1, KIF11, UBE2C, NCAPG, AURKA and CHEK1 were statistically significant (P<0.05).

conclusionPD-L1 was found to be a latent biomarker for predicting the prognostic value of cancer and also a therapeutic target.

Indexed as

B7-H1 AntigenOvarian NeoplasmsAurora Kinase ABiomarkers, TumorCarcinoma, Ovarian EpithelialFemaleHumansPrognosisAurora Kinase AB7-H1 AntigenBiomarkers, TumorBioinformatics analysiscancerMeta-analysisPD-L1Prognosis role

Identifiers

PMID35901333
PMCPMC9727364
OpenAlexW4288388852

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.