Evidence mapPaperPMID 41929535Full record

ArticleExperimental and therapeutic medicine2026

Long non-coding RNA KCNQ1OT1 promotes ovarian cancer cell malignant characteristics by targeting the miR-140-5p/KLK10 axis.

Renjie Duan, Zhenyu Tao, Shun Tao, Aichen Yang, Xu Yang, Changzheng Li, Xiaoxiang Zhu, Kexin Zhang, Zhuofu Li, Shanjun Tao

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Article in Experimental and therapeutic medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Renjie DuanSchool of Preclinical Medicine, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.
Zhenyu TaoSchool of Pharmacy, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.
Shun TaoSchool of Laboratory Medicine, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.
Aichen YangSchool of Clinical Medicine, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.
Xu YangSchool of Clinical Medicine, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.
Changzheng LiSchool of Clinical Medicine, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.
Xiaoxiang ZhuSchool of Clinical Medicine, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.
Kexin ZhangSchool of Clinical Medicine, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.
Zhuofu LiSchool of Clinical Medicine, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.
Shanjun TaoSchool of Laboratory Medicine, Wannan Medical College, Wuhu, Anhui 241002, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have emerged as key regulatory molecules involved in driving cancer progression. However, the specific functional roles of numerous lncRNAs in ovarian cancer (OC) remain largely underexplored. The present study aimed to elucidate the role and underlying mechanisms of potassium voltage-gated channel subfamily Q member 1 opposite strand/antisense transcript 1 (KCNQ1OT1) in OC progression. Bioinformatics prediction using the TargetScan and starBase databases revealed that both KCNQ1OT1 and kallikrein-related peptidase 10 (KLK10) harbor complementary binding sites for microRNA (miR)-140-5p. The direct interaction between miR-140-5p and KCNQ1OT1 or KLK10 was experimentally validated using miRNA pull-down assays. Analysis of GEO datasets (GSE66957 and GSE47841), followed by RT-qPCR validation in SKOV3 and IOSE80 cells, revealed that KCNQ1OT1 and KLK10 were markedly upregulated, whereas miR-140-5p was downregulated in OC compared with that in normal ovarian controls. CCK-8 and wound-healing assays demonstrated that silencing KCNQ1OT1 markedly suppressed OC cell proliferation and migration, effects that were reversed by miR-140-5p inhibition. Conversely, inhibition of miR-140-5p enhanced OC cell proliferation and migration, which were abrogated by KLK10 knockdown. Collectively, these findings identified a previously unrecognized regulatory axis in OC, in which KCNQ1OT1 promotes tumor cell proliferation and migration by modulating the miR-140-5p/KLK10 pathway. The present study advances the mechanistic understanding of lncRNA-mediated oncogenesis and provides preliminary evidence supporting a potential role of KCNQ1OT1 in OC progression.

Indexed as

kallikrein-related peptidase 10microRNA-140-5pmigrationovarian cancerpotassium voltage-gated channel subfamily Q member 1 opposite strand/antisense transcript 1proliferation

Identifiers

PMID41929535
PMCPMC13040642

What Socratic holds

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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 Socratic graph.