Evidence map›Paper›PMID 31995855›Full record

ArticleJournal of cellular and molecular medicine2020

Identification of immune-enhanced molecular subtype associated with BRCA1 mutations, immune checkpoints and clinical outcome in ovarian carcinoma.

Mingjun Zheng, Yuexin Hu, Rui Gou, Ouxuan Liu, Xin Nie, Xiao Li, Qing Liu, Yingying Hao, Juanjuan Liu, Bei Lin

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

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  20. Interactions between tumor mutation burden and immune infiltration in ovarian cancer.International journal of clinical and experimental pathology · 2020
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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 at 2 institutions in 2 countries.

Mingjun ZhengDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Yuexin HuDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Rui GouDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.ORCID 0000-0002-6584-623X
Ouxuan LiuDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Xin NieDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Xiao LiDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Qing LiuDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Yingying HaoDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Juanjuan LiuDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Bei LinDepartment of Gynaecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.ORCID 0000-0002-8881-9859
Educational Department of Liaoning Province · CNLMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian carcinoma has the highest mortality among the malignant tumours in gynaecology, and new treatment strategies are urgently needed to improve the clinical status of ovarian carcinoma patients. The Cancer Genome Atlas (TCGA) cohort were performed to explore the immune function of the internal environment of tumours and its clinical correlation with ovarian carcinoma. Finally, four molecular subtypes were obtained based on the global immune-related genes. The correlation analysis and clinical characteristics showed that four subtypes were all significantly related to clinical stage; the immune scoring results indicated that most immune signatures were upregulated in C3 subtype, and the majority of tumour-infiltrating immune cells were upregulated in both C3 and C4 subtypes. Compared with other subtypes, C3 subtype had a higher BRCA1 mutation, higher expression of immune checkpoints, and optimal survival prognosis. These findings of the immunological microenvironment in tumours may provide new ideas for developing immunotherapeutic strategies for ovarian carcinoma.

Indexed as

BRCA1 ProteinFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansImmunityMiddle AgedMutationOvarian NeoplasmsPrognosisReproducibility of ResultsSurvival AnalysisTreatment OutcomeBRCA1 Proteinimmune checkpointmolecular subtypesovarian carcinomasignaturessurvival prognosis

Identifiers

PMID31995855
PMCPMC7077593
OpenAlexW3004218482

What OpenQuestion holds

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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.