Molecular characterization of ovarian mesonephric-like adenocarcinoma: Insights from single-cell RNA sequencing and mitochondrial metabolism

This study provides the first scRNA-seq-based molecular characterization of ovarian MLA, differentiating it from HGSOC. Findings suggest potential therapeutic avenues, with a proposed combination therapy targeting MAP kinase and PI3K/AKT/mTOR pathways. Validation in larger cohorts is necessary for clinical application.

Authors

Institutions

Publication Details

Journal
Gynecologic Oncology Reports
Published
2024-12-27
DOI
https://doi.org/10.1016/j.gore.2024.101670
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular characterization of ovarian mesonephric-like adenocarcinoma: Insights from single-cell RNA sequencing and mitochondrial metabolism

Ye-Ah Kim, Man S. Kim, Hanbyoul Cho, Gwan Hee Han et al.
Gynecologic Oncology Reports
Single-cell and spatial transcriptomics
article

Molecular characterization of ovarian mesonephric-like adenocarcinoma: Insights from single-cell RNA sequencing and mitochondrial metabolism

Ye-Ah Kim, Man S. Kim, Hanbyoul Cho, Gwan Hee Han, Hyunjin Park, Jae-Hoon Kim, Hee Yun
article en

Abstract

This study provides the first scRNA-seq-based molecular characterization of ovarian MLA, differentiating it from HGSOC. Findings suggest potential therapeutic avenues, with a proposed combination therapy targeting MAP kinase and PI3K/AKT/mTOR pathways. Validation in larger cohorts is necessary for clinical application.

Gynecologic Oncology ReportsVol. 57
Yonsei University (KR), Kyung Hee University (KR), Inje University Sanggye Paik Hospital (KR), Gangnam Severance Hospital (KR), Kyung Hee University Hospital at Gangdong (KR)
National Research Foundation, Yonsei University, Inje University, National Research Foundation of Korea, Yonsei University College of Medicine
Zero hunger
Openalex Percentile: Top 79%
Single-cell and spatial transcriptomics
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.