Evidence map›Paper›PMID 34195995›Full record

ArticleClinical and experimental immunology2021

Prognostic implications of tumour-infiltrating lymphocytes for recurrence in epithelial ovarian cancer.

Yuan Wu, Yue Gao, Lingxi Chen, Xin Jin, Pingbo Chen, Qingqing Mo

Abstract read
In one paragraph

Article in Clinical and experimental immunology, 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

6 authors.

Yuan WuCancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yue GaoCancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lingxi ChenDepartment of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong.
Xin JinCancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Pingbo ChenCancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qingqing MoCancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0003-4193-411X

Funding

973 Program of China 2015CB553903Fundamental Research Funds for the Central Universities 2017JYCXJJ025National Key Research & Development Program of China 2016YFC0902901National Natural Science Foundation of China 81372801National Natural Science Foundation of China 81472783National Natural Science Foundation of China 81501530National Natural Science Foundation of China 81572570National Natural Science Foundation of China 81630060National Natural Science Foundation of China 81702572National Natural Science Foundation of China 81702574National Natural Science Foundation of China 81772787
6 · The paper itself

Abstract

The recurrence of patients with epithelial ovarian cancer (EOC) is largely attributed to tumour cells escaping from the surveillance of immune cells. However, to date there is a lack of studies that have systematically evaluated the associations between the infiltration fraction of immune cells and the recurrence risk of EOC. Based on the micro-ribonucleic acid (microRNA) expression profiles of 441 EOC patients, we constructed a microRNA-based panel with recurrence prediction potential using non-negative matrix factorization consensus clustering. Then, we evaluated the association between recurrence risk and infiltration proportions among 10 immune cell types by CIBERSORT and a multivariable Cox regression model. As a result, we identified a 72-microRNA-based panel that could stratify patients into high and low risk of recurrence. The infiltration of plasma cells and M1 macrophages was consistently significantly associated with the risk of recurrence in patients with EOC. Plasma cells were significantly associated with a decreased risk of relapse [hazard ratio (HR) = 0.58, p = 0.006), while M1 macrophages were associated with an increased risk of relapse (HR = 1.59, p = 0.003). Therefore, the 72-microRNA-based panel, M1 macrophages and plasma cells may hold potential to serve as recurrence predictors of EOC patients in clinical practice.

Indexed as

Carcinoma, Ovarian EpithelialModels, ImmunologicalNeoplasm Recurrence, LocalOvarian NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMicroRNAsMiddle AgedPlasma CellsPrognosisRNA, NeoplasmMicroRNAsRNA, Neoplasmepithelial ovarian cancerM1 macrophagemicroRNAplasma cellsrecurrence risktumour-infiltrating lymphocytes

Identifiers

PMID34195995
PMCPMC8446405

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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.