Evidence map›Paper›PMID 34988178›Full record

ArticleAnnals of translational medicine2021

Wendi Guo, Zhen Sun, Nannan Zhao, Yiwen Zhou, Jie Ren, Lingling Huang, Yi Ping

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 3 institutions in 1 country.

Wendi GuoDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Zhen SunDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Nannan ZhaoDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Yiwen ZhouDepartment of Obstetrics and Gynecology, First Affiliated Hospital of University of South China, Hengyang, China.
Jie RenDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Lingling HuangDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Yi PingDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Shanxi Medical University · CNFirst Affiliated Hospital of University of South China · CNSecond Hospital of Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong all gynecological malignancies, ovarian cancer (OC) is prone to recurrence, metastasis, and resistance, and has the highest mortality rate. Furthermore, China is about to face the risk of increased incidence of the disease. This study aimed to identify potential novel tumorigenesis and prognostic genes in OC.

methodsThe Genotype-Tissue Expression (GTEx) project and The Cancer Genome Atlas (TCGA) project were used to obtain mRNA sequencing datasets and clinical information to identify candidate genes critical to OC carcinogenesis and progression. The potential genes affecting OC were performed by comprehensive survival analysis, followed by external validation. Cell proliferation, wound healing, and transwell assays validated the effects of a potential gene on proliferation, migration, and invasion in the A2780 cell line. Observe xenograft formation in nude mice and use immunohistochemistry to determine the expression of epithelial-mesenchymal transition (EMT)-related proteins in xenograft tumors after gene silencing. Two-tailed Student's

resultsThe current study developed an eight-gene model for predicting the survival of patients with OC, in which

conclusionsThe study provided a novel view on the biological significance and function of

Indexed as

biomarkersepithelial-mesenchymal transition (EMT)integrated bioinformatics analysisOvarian cancer (OC)prognosis

Identifiers

PMID34988178
PMCPMC8667152
OpenAlexW3215783780

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.