Evidence map›Paper›PMID 34395521›Full record

ArticleFrontiers in molecular biosciences2021

Identification of a Gene Set Correlated With Immune Status in Ovarian Cancer by Transcriptome-Wide Data Mining.

Lili Fan, Han Lei, Ying Lin, Zhengwei Zhou, Guang Shu, Zhipeng Yan, Haotian Chen, Tianxiang Zhang, Gang Yin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. International journal of molecular sciences · 2023
    Article
  6. Article
  7. Article
  8. Identification of NADFrontiers in genetics · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. 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

9 authors at 4 institutions in 2 countries.

Lili FanDepartment of Pathology, Xiangya Hospital, School of Basic Medical Sciences, Central South University, Changsha, China.
Han LeiDepartment of Pathology, Xiangya Hospital, School of Basic Medical Sciences, Central South University, Changsha, China.
Ying LinDepartment of Pathology, Xiangya Hospital, School of Basic Medical Sciences, Central South University, Changsha, China.
Zhengwei ZhouDepartment of Pathology, Xiangya Hospital, School of Basic Medical Sciences, Central South University, Changsha, China.
Guang ShuSchool of Basic Medical Sciences, Central South University, Changsha, China.
Zhipeng YanHunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Haotian ChenSchool of Basic Medical Sciences, Central South University, Changsha, China.
Tianxiang ZhangDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT, United States.
Gang YinDepartment of Pathology, Xiangya Hospital, School of Basic Medical Sciences, Central South University, Changsha, China.
Central South University · CNHunan Cancer Hospital · CNJinan University · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint blocking (ICB) immunotherapy has achieved great success in the treatment of various malignancies. Although not have been approved for the treatment of ovarian cancer (OC), it has been actively tested for the treatment of OC. However, biomarkers that could indicate the immune status of OC and predict the response to ICB are rare. We downloaded RNAseq and clinical data of OC from The Cancer Genome Atlas (TCGA). Data analysis revealed both TMB

Indexed as

immune cells infiltrationimmune therapyovarian cancersurvival prognosisTMB

Identifiers

PMID34395521
PMCPMC8363306
OpenAlexW3191307113

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.