<scp>LINC00240</scp> Knockdown Suppresses the Proliferation, Migration, and Invasion of Ovarian Cancer Cells Through the <scp>miR</scp> ‐30c‐5p/ <scp>P4HA2</scp> Axis

Ovarian cancer is a particularly lethal malignancy often diagnosed at advanced stages, highlighting the urgent need for novel therapeutic strategies. This study investigates the expression and functional role of LINC00240, miR-30c-5p, and P4HA2 in ovarian cancer pathogenesis. Using datasets GSE66957 and the GEPIA database, we assessed LINC00240 expression levels and employed quantitative real-time polymerase chain reaction (qRT-PCR) to evaluate the expression of LINC00240, miR-30c-5p, and P4HA2 in ovarian cancer samples. Bioinformatics analysis via TargetScan software predicted interactions between these molecules, which were validated through dual-luciferase reporter assays. Functional assays, including colony formation and Transwell assays, assessed the impact of LINC00240 and miR-30c-5p on cell proliferation, migration, and invasion. Our results indicate that LINC00240 and P4HA2 are significantly overexpressed, while miR-30c-5p is downregulated in ovarian cancer. Furthermore, LINC00240 modulates ovarian cancer malignancy by regulating P4HA2 expression through binding with miR-30c-5p. These findings elucidate the role of the LINC00240/miR-30c-5p/P4HA2 axis in ovarian cancer and suggest new avenues for targeted therapeutic interventions.

Authors

Institutions

Publication Details

Journal
Journal of Cellular and Molecular Medicine
Published
2026-05-01
DOI
https://doi.org/10.1111/jcmm.71171
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LINC00240 Knockdown Suppresses the Proliferation, Migration, and Invasion of Ovarian Cancer Cells Through the miR ‐30c‐5p/ P4HA2 Axis

Jianlei Wu, Yunjie Tian, HaiBo Zhang
Journal of Cellular and Molecular Medicine
Cancer-related molecular mechanisms research
article

LINC00240 Knockdown Suppresses the Proliferation, Migration, and Invasion of Ovarian Cancer Cells Through the miR ‐30c‐5p/ P4HA2 Axis

Jianlei Wu, Yunjie Tian, HaiBo Zhang
article en

Abstract

Ovarian cancer is a particularly lethal malignancy often diagnosed at advanced stages, highlighting the urgent need for novel therapeutic strategies. This study investigates the expression and functional role of LINC00240, miR-30c-5p, and P4HA2 in ovarian cancer pathogenesis. Using datasets GSE66957 and the GEPIA database, we assessed LINC00240 expression levels and employed quantitative real-time polymerase chain reaction (qRT-PCR) to evaluate the expression of LINC00240, miR-30c-5p, and P4HA2 in ovarian cancer samples. Bioinformatics analysis via TargetScan software predicted interactions between these molecules, which were validated through dual-luciferase reporter assays. Functional assays, including colony formation and Transwell assays, assessed the impact of LINC00240 and miR-30c-5p on cell proliferation, migration, and invasion. Our results indicate that LINC00240 and P4HA2 are significantly overexpressed, while miR-30c-5p is downregulated in ovarian cancer. Furthermore, LINC00240 modulates ovarian cancer malignancy by regulating P4HA2 expression through binding with miR-30c-5p. These findings elucidate the role of the LINC00240/miR-30c-5p/P4HA2 axis in ovarian cancer and suggest new avenues for targeted therapeutic interventions.

Journal of Cellular and Molecular MedicineVol. 30(9)
Hebei Medical University (CN), Fourth Hospital of Hebei Medical University (CN), Shandong First Medical University (CN)
Openalex Percentile: Top 6%
Cancer-related molecular mechanisms research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.