Abstract 2803: Genome-wide CRISPR-Cas9 functional screens map long noncoding RNA dependencies in triple-negative breast cancer

Abstract Long noncoding RNAs (lncRNAs) are increasingly recognized as crucial regulators of gene expression, significantly influencing complex biological processes and disease progression, including cancer. Their transformative potential was underscored by the awarding of the 2024 Nobel Prize in noncoding RNA research, spotlighting lncRNAs as powerful modulators of biological regulation and therapeutic innovation. However, the precise functions of most lncRNAs remain largely unexplored. While GENCODE has cataloged over 20, 000 lncRNA genes, the true diversity of lncRNAs is likely much greater. To address this, we constructed an expanded lncRNA reference by integrating GENCODE, BIGTranscriptome, and MiTranscriptome databases. This enhanced reference enabled a comprehensive mapping of lncRNA dependencies in aggressive triple-negative breast cancer (TNBC) using a genome-wide CRISPR-Cas9 screen. Our screen specifically targeted the transcription start sites of over 1, 000 TNBC-associated lncRNAs, encompassing both annotated and novel transcripts. By employing a dual-excision CRISPR strategy in two TNBC cell models, we identified lncRNAs that are essential for TNBC cell growth and chemoresistance, validating several candidates using antisense oligonucleotides (ASOs). In total, 102 lncRNA hits were identified across both MDA-MB-231 and BT-549 TNBC models. Of these, three novel lncRNAs were found to be indispensable for TNBC survival in both two-dimensional and three-dimensional cultures. Analysis of a large TNBC cohort (n=360) further associated the expression of these lncRNAs with more aggressive TNBC subtypes. Loss-of-function studies with ASO Gapmers underscored the roles of these novel lncRNAs in regulating key cellular processes, including extracellular matrix organization, lipid metabolism, and GTPase signaling. Our study provides the first comprehensive map of lncRNA vulnerabilities in TNBC, highlighting their potential as therapeutic targets. This approach, while focused on TNBC, is adaptable for exploring lncRNA functions in other biological settings, paving the way for novel RNA-based therapies and clinical applications. Citation Format: Nehad M. Alajez. Genome-wide CRISPR-Cas9 functional screens map long noncoding RNA dependencies in triple-negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2803.

Authors

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-2803
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

Abstract 2803: Genome-wide CRISPR-Cas9 functional screens map long noncoding RNA dependencies in triple-negative breast cancer

Nehad M. Alajez
Cancer Research
Cancer-related molecular mechanisms research
article

Abstract 2803: Genome-wide CRISPR-Cas9 functional screens map long noncoding RNA dependencies in triple-negative breast cancer

Nehad M. Alajez
article en

Abstract

Abstract Long noncoding RNAs (lncRNAs) are increasingly recognized as crucial regulators of gene expression, significantly influencing complex biological processes and disease progression, including cancer. Their transformative potential was underscored by the awarding of the 2024 Nobel Prize in noncoding RNA research, spotlighting lncRNAs as powerful modulators of biological regulation and therapeutic innovation. However, the precise functions of most lncRNAs remain largely unexplored. While GENCODE has cataloged over 20, 000 lncRNA genes, the true diversity of lncRNAs is likely much greater. To address this, we constructed an expanded lncRNA reference by integrating GENCODE, BIGTranscriptome, and MiTranscriptome databases. This enhanced reference enabled a comprehensive mapping of lncRNA dependencies in aggressive triple-negative breast cancer (TNBC) using a genome-wide CRISPR-Cas9 screen. Our screen specifically targeted the transcription start sites of over 1, 000 TNBC-associated lncRNAs, encompassing both annotated and novel transcripts. By employing a dual-excision CRISPR strategy in two TNBC cell models, we identified lncRNAs that are essential for TNBC cell growth and chemoresistance, validating several candidates using antisense oligonucleotides (ASOs). In total, 102 lncRNA hits were identified across both MDA-MB-231 and BT-549 TNBC models. Of these, three novel lncRNAs were found to be indispensable for TNBC survival in both two-dimensional and three-dimensional cultures. Analysis of a large TNBC cohort (n=360) further associated the expression of these lncRNAs with more aggressive TNBC subtypes. Loss-of-function studies with ASO Gapmers underscored the roles of these novel lncRNAs in regulating key cellular processes, including extracellular matrix organization, lipid metabolism, and GTPase signaling. Our study provides the first comprehensive map of lncRNA vulnerabilities in TNBC, highlighting their potential as therapeutic targets. This approach, while focused on TNBC, is adaptable for exploring lncRNA functions in other biological settings, paving the way for novel RNA-based therapies and clinical applications. Citation Format: Nehad M. Alajez. Genome-wide CRISPR-Cas9 functional screens map long noncoding RNA dependencies in triple-negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2803.

Cancer ResearchVol. 85(8_Supplement_1)
Openalex Percentile: Top 91%
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.