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Identification of Genomic Instability-Associated LncRNAs as Potential Therapeutic Targets in Lung Adenocarcinoma Souza, Vanessa G. P.; Benard, Katya H.; Stewart, Greg L.; Enfield, Katey S. S.; Lam, Wan
Abstract
Background/Objectives: Non-small cell lung cancer (NSCLC) is the most common type of cancer, with lung adenocarcinoma (LUAD) as the predominant subtype. Despite advancements in targeted therapies, many NSCLC patients still experience poor outcomes due to treatment resistance and disease progression. Genomic instability (GI), a hallmark of cancer, defined as the increased tendency of DNA mutations and alterations, is closely linked to cancer initiation, progression, and resistance to therapy. Emerging evidence suggests that long non-coding RNAs (lncRNAs)—molecules longer than 200 nucleotides that do not encode proteins but regulate gene expression—play critical roles in cancer biology and are associated with GI. However, the relationship between GI and lncRNA expression in LUAD remains poorly understood. Methods: In this study, we analyzed the transcript profiles of lncRNAs and mRNAs from LUAD samples in The Cancer Genome Atlas (TCGA) database and classified them based on their Homologous Recombination Deficiency (HRD) score. The HRD score is an unweighted sum of three independent DNA-based measures of genomic instability: loss of heterozygosity, telomeric allelic imbalance, and large-scale transitions. We then performed a differential gene expression analysis to identify lncRNAs and mRNAs that were either upregulated or downregulated in samples with high HRD scores compared to those with low HRD scores. Following this, we conducted a correlation analysis to assess the significance of the association between HRD scores and the expression of both lncRNAs and mRNAs. Results: We identified 30 differentially expressed lncRNAs and 200 mRNAs associated with genomic instability. Using an RNA interactome database from sequencing experiments, we found evidence of interactions between GI-associated lncRNAs (GI-lncRNAs) and GI-associated mRNAs (GI-mRNAs). Further investigation showed that some GI-lncRNAs play regulatory and functional roles in LUAD and other diseases. We also found that GI-lncRNAs have potential as prognostic biomarkers, particularly when integrated with HRD stratification. The expression of specific GI-lncRNAs was associated with primary therapy response and immune infiltration in LUAD. Additionally, we identified existing drugs that could modulate GI-lncRNAs, offering potential therapeutic strategies to address GI in LUAD. Conclusions: Our findings suggest that GI-associated lncRNAs could serve as valuable biomarkers for LUAD prognosis and therapeutic response. Furthermore, modulating these lncRNAs presents potential treatment avenues to address genomic instability in LUAD.
Item Metadata
Title |
Identification of Genomic Instability-Associated LncRNAs as Potential Therapeutic Targets in Lung Adenocarcinoma
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Creator | |
Contributor | |
Publisher |
Multidisciplinary Digital Publishing Institute
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Date Issued |
2025-03-15
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Description |
Background/Objectives: Non-small cell lung cancer (NSCLC) is the most common
type of cancer, with lung adenocarcinoma (LUAD) as the predominant subtype.
Despite advancements in targeted therapies, many NSCLC patients still experience poor
outcomes due to treatment resistance and disease progression. Genomic instability (GI), a
hallmark of cancer, defined as the increased tendency of DNA mutations and alterations,
is closely linked to cancer initiation, progression, and resistance to therapy. Emerging
evidence suggests that long non-coding RNAs (lncRNAs)—molecules longer than 200 nucleotides
that do not encode proteins but regulate gene expression—play critical roles in
cancer biology and are associated with GI. However, the relationship between GI and
lncRNA expression in LUAD remains poorly understood. Methods: In this study, we
analyzed the transcript profiles of lncRNAs and mRNAs from LUAD samples in The
Cancer Genome Atlas (TCGA) database and classified them based on their Homologous
Recombination Deficiency (HRD) score. The HRD score is an unweighted sum of three
independent DNA-based measures of genomic instability: loss of heterozygosity, telomeric
allelic imbalance, and large-scale transitions. We then performed a differential gene
expression analysis to identify lncRNAs and mRNAs that were either upregulated or
downregulated in samples with high HRD scores compared to those with low HRD scores.
Following this, we conducted a correlation analysis to assess the significance of the association
between HRD scores and the expression of both lncRNAs and mRNAs. Results: We
identified 30 differentially expressed lncRNAs and 200 mRNAs associated with genomic
instability. Using an RNA interactome database from sequencing experiments, we found
evidence of interactions between GI-associated lncRNAs (GI-lncRNAs) and GI-associated mRNAs (GI-mRNAs). Further investigation showed that some GI-lncRNAs play regulatory
and functional roles in LUAD and other diseases. We also found that GI-lncRNAs have
potential as prognostic biomarkers, particularly when integrated with HRD stratification.
The expression of specific GI-lncRNAs was associated with primary therapy response
and immune infiltration in LUAD. Additionally, we identified existing drugs that could
modulate GI-lncRNAs, offering potential therapeutic strategies to address GI in LUAD.
Conclusions: Our findings suggest that GI-associated lncRNAs could serve as valuable
biomarkers for LUAD prognosis and therapeutic response. Furthermore, modulating these
lncRNAs presents potential treatment avenues to address genomic instability in LUAD.
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Subject | |
Genre | |
Type | |
Language |
eng
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Date Available |
2025-05-09
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Provider |
Vancouver : University of British Columbia Library
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Rights |
CC BY 4.0
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DOI |
10.14288/1.0448825
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URI | |
Affiliation | |
Citation |
Cancers 17 (6): 996 (2025)
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Publisher DOI |
10.3390/cancers17060996
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty; Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
CC BY 4.0