Evidence map›Paper›PMID 34734088›Full record

ArticleBioMed research international2021

lncRNA SNHG15 Promotes Ovarian Cancer Progression through Regulated CDK6 via Sponging miR-370-3p.

Yi Wang, Minghong Ding, Xiaoqing Yuan, Ruibao Jiao, Dagao Zhu, Wanzhong Huang, Wenxia Deng, Yulong Liu

Abstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

8 authors.

Yi WangDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Minghong DingDepartment of Obstetrics and Gynecology, Tongling People's Hospital, Tongling 244000, China.
Xiaoqing YuanDepartment of Pathology, Tongling People's Hospital, Tongling 244000, China.
Ruibao JiaoDepartment of Laboratory Medicine, Tongling People's Hospital, Tongling 244000, China.
Dagao ZhuDepartment of Oncology, Tongling People's Hospital, Tongling 244000, China.
Wanzhong HuangDepartment of Oncology, Tongling People's Hospital, Tongling 244000, China.
Wenxia DengDepartment of Oncology, Tongling People's Hospital, Tongling 244000, China.
Yulong LiuDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID https://orcid.org/0000-0003-2660-8076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is a kind of cancer from the female genital tract; the molecular mechanism still needs to be explored. lncRNA plays a vital role in tumorigenesis and development. Our aim was to identify oncogenic lncRNAs in ovarian cancer and explore the potential molecular mechanism. SNHG15 was initially identified by using GEO datasets (GSE135886 and GSE119054) and validated by tumor tissues and the cell line, identifying that SNHG15 was upregulated in ovarian cancer. Besides, high SNHG15 indicated poor prognosis in ovarian cancer. Furthermore, knockdown SNHG15 suppresses ovarian cancer proliferation and promotes apoptosis. Mechanistically, SNHG15 promotes proliferation through upregulated CDK6 via sponging miR-370-3p. Taken together, our findings emphasize the important role of SNHG15 in ovarian cancer, suggesting that SNHG15 may be a promising target for ovarian cancer.

Indexed as

AdultApoptosisCarcinogenesisCarcinoma, Ovarian EpithelialCell Line, TumorCell MovementCell ProliferationChinaCyclin-Dependent Kinase 6Databases, GeneticFemaleGene ExpressionGene Expression Regulation, NeoplasticHumansMicroRNAsMiddle AgedCDK6 protein, humanCyclin-Dependent Kinase 6MicroRNAsMIRN370 microRNA, humanRNA, Long Noncoding

Identifiers

PMID34734088
PMCPMC8560251

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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.