Evidence map›Paper›PMID 31664600›Full record

ArticleClinical and translational medicine2019

Network vulnerability-based and knowledge-guided identification of microRNA biomarkers indicating platinum resistance in high-grade serous ovarian cancer.

Xin Qi, Chunjiang Yu, Yi Wang, Yuxin Lin, Bairong Shen

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

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  17. Variations of human heat shock proteins in multiple cancers.Clinical and translational medicine · 2021
    Article
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  19. The role of neutrophil extracellular traps in cancer metastasis.Clinical and translational medicine · 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

5 authors at 2 institutions in 1 country.

Xin QiCenter for Systems Biology, Soochow University, Suzhou, 215006, China.
Chunjiang YuCenter for Systems Biology, Soochow University, Suzhou, 215006, China.
Yi WangCenter for Systems Biology, Soochow University, Suzhou, 215006, China.
Yuxin LinCenter for Systems Biology, Soochow University, Suzhou, 215006, China.
Bairong ShenInstitutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, 610041, China. bairong.shen@scu.edu.cn.ORCID http://orcid.org/0000-0003-2899-1531
Soochow University · CNSichuan University · CN

Funding

National Natural Science Foundation of China 31600670National Natural Science Foundation of China 31670851
6 · The paper itself

Abstract

backgroundHigh-grade serous ovarian cancer (HGSC), the most common ovarian carcinoma type, is associated with the highest mortality rate among all gynecological malignancies. As chemoresistance has been demonstrated as the major challenge in improving the prognosis of HGSC patients, we here aimed to identify microRNA (miRNA) biomarkers for predicting platinum resistance and further explore their functions in HGSC.

resultsWe developed and applied our network vulnerability-based and knowledge-guided bioinformatics model first time for the study of drug-resistance in cancer. Four miRNA biomarkers (miR-454-3p, miR-98-5p, miR-183-5p and miR-22-3p) were identified with potential in stratifying platinum-sensitive and platinum-resistant HGSC patients and predicting prognostic outcome. Among them, miR-454-3p and miR-183-5p were newly discovered to be closely implicated in platinum resistance in HGSC. Functional analyses highlighted crucial roles of the four miRNA biomarkers in platinum resistance through mediating transcriptional regulation, cell proliferation and apoptosis. Moreover, expression patterns of the miRNA biomarkers were validated in both platinum-sensitive and platinum-resistant ovarian cancer cells.

conclusionsWith bioinformatics modeling and analysis, we identified and confirmed four novel putative miRNA biomarkers, miR-454-3p, miR-98-5p, miR-183-5p and miR-22-3p that could serve as indicators of resistance to platinum-based chemotherapy, thereby contributing to the improvement of chemotherapeutic efficiency and optimization of personalized treatments in HGSC.

Indexed as

Bioinformatics modelmiRNA biomarkermiRNA-mRNA regulatory networkOvarian cancerPlatinum resistance

Identifiers

PMID31664600
PMCPMC6820656
OpenAlexW2982666570

What OpenQuestion holds

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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.