Evidence map›Paper›PMID 36157232›Full record

ArticleJournal of oncology2022

Identification of Novel Immunologic Checkpoint Gene Prognostic Markers for Ovarian Cancer.

Xiao Huo, Xi Zhang, Shuhong Li, Shuzhen Wang, Hengzi Sun, Mo Yang

Abstract read
In one paragraph

Article in Journal of oncology, 2022. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

6 authors.

Xiao HuoCenter of Basic Medical Research, Institute of Medical Innovation and Research, Cancer Center, Peking University Third Hospital, Beijing, China PCODE: 100191.
Xi ZhangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China PCODE: 100191.
Shuhong LiDepartment of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China PCODE: 100025.
Shuzhen WangDepartment of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China PCODE: 100025.
Hengzi SunDepartment of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China PCODE: 100025.ORCID https://orcid.org/0000-0002-0794-5264
Mo YangMedical Center for Human Reproduction, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China PCODE: 100025.ORCID https://orcid.org/0000-0002-3102-414X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer has a higher resistance to chemotherapy, displaying the highest mortality rate among gynecological cancers. Recently, immune checkpoint inhibitor therapy is an effective treatment for selected patients. However, a low response rate for immune checkpoint treatment was observed for ovarian cancer patients. Therefore, it is necessary to identify ovarian cancer patients who might gain benefits from immune checkpoint treatment. Datasets containing ovarian cancer samples with mRNA-seq and clinical follow-up data were downloaded from different databases like The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The researchers applied the univariate analysis for selecting the immune checkpoint genes (ICGs) at a significance level of

Identifiers

PMID36157232
PMCPMC9499758

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Registered trials

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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.