Evidence map›Paper›PMID 37405595›Full record

ArticleGenes & genomics2023

Single-cell RNA sequencing reveals a pro-metastatic subpopulation and the driver transcription factor NFE2L1 in ovarian cancer cells.

Junseong Park, Yoon-Seob Kim, Songzi Zhang, Dokyeong Kim, Sun Shin, Sug Hyung Lee, Yeun-Jun Chung

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Article in Genes & genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Junseong ParkPrecision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Yoon-Seob KimPrecision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Songzi ZhangPrecision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Dokyeong KimPrecision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Sun ShinPrecision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Sug Hyung LeeDepartment of Pathology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Yeun-Jun ChungPrecision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. yejun@catholic.ac.kr.ORCID 0000-0002-6943-5948
Catholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough cytoreductive surgery followed by adjuvant chemotherapy is effective as a standard treatment for early-stage ovarian cancer, the majority of ovarian cancer cases are diagnosed at the advanced stages with dissemination to the peritoneal cavity, leading to a poor prognosis. Therefore, it is crucial to understand the cellular and molecular mechanisms underlying metastasis and identify novel therapeutic targets.

objectiveIn this study, we aimed to elucidate the mechanisms underlying gene expression alterations during the acquisition of metastatic potential and characterize the metastatic subpopulations within ovarian cancer cells.

methodsWe conducted single-cell RNA sequencing of two human ovarian cancer cell lines: SKOV-3 and SKOV-3-13, a highly metastatic subclone of SKOV-3. Suppression of NFE2L1 expression was performed through siRNA-mediated knockdown and CRISPR-Cas9-mediated knockout.

resultsClustering and pseudotime trajectory analysis revealed pro-metastatic subpopulation within these cells. Furthermore, gene set enrichment analysis and prognosis analysis indicated that NFE2L1 could be a key transcription factor in the acquisition of metastasis potential. Inhibition of NFE2L1 significantly reduced migration and viability of both cells. In addition, NFE2L1 knockout cells exhibited significantly reduced tumor growth in a mouse xenograft model, recapitulating in silico and in vitro results.

conclusionThe results presented in this study deepen our understanding of the molecular pathogenesis of ovarian cancer metastasis with the ultimate goal of developing treatments targeting pro-metastatic subclones prior to metastasis.

Indexed as

Ovarian NeoplasmsTranscription FactorsAnimalsCell Line, TumorFemaleHumansMiceNF-E2-Related Factor 1Sequence Analysis, RNANFE2L1 protein, humanNF-E2-Related Factor 1Transcription FactorsMetastasis-targeting therapyNFE2L1Ovarian cancer metastasisPro-metastatic subpopulationSingle-cell RNA-seq

Identifiers

PMID37405595
OpenAlexW4383187315

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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.