Discovery of anticancer targets for triple-negative breast cancer through comparative analysis of gene dependency score

Patients with triple-negative breast cancer (TNBC) often face an unfavorable prognosis due to the lack of targeted therapy. Thus, identifying drug targets specific to the TNBC subtype is crucial for effective treatment. Here, we propose a strategy to identify potential inhibitory targets specific to...

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Published inBiotechnology and bioprocess engineering Vol. 29; no. 6; pp. 1061 - 1070
Main Authors Kim, Bo Kyung, Kim, Gahee, Hur, Wonhee, Choi, Yoojin, Hwangbo, Suhyun, Ryu, Jae Yong
Format Journal Article
LanguageEnglish
Published Seoul The Korean Society for Biotechnology and Bioengineering 01.12.2024
Springer Nature B.V
한국생물공학회
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Abstract Patients with triple-negative breast cancer (TNBC) often face an unfavorable prognosis due to the lack of targeted therapy. Thus, identifying drug targets specific to the TNBC subtype is crucial for effective treatment. Here, we propose a strategy to identify potential inhibitory targets specific to this subtype based on the gene dependency score (GDS), a quantitative measure of essentiality of each gene determined in cancer cell lines. Specifically, we compared the GDS values of 17,387 genes among cell lines of four breast cancer (BC) subtypes, namely luminal A, luminal B, HER2-positive, and TNBC, to identify genes showing specific essentiality in TNBC subtype cell lines. Twenty-two genes were predicted as potential inhibitory targets. Of these, we selected two genes, ILK and RHOA , based on survival analysis conducted across the four BC subtypes. We propose these two genes as potential biomarkers for TNBC. Furthermore, we experimentally validated that inhibiting ILK expression with a specific inhibitor reduced cell viability more in TNBC subtype cell lines than in other BC subtype cell lines. Therefore, ILK is a potential drug target specific to TNBC. The strategy proposed is expected to be useful in identifying biomarker and therapeutic target genes in not only BC but also other cancers.
AbstractList Patients with triple-negative breast cancer (TNBC) often face an unfavorable prognosis due to the lack of targeted therapy. Thus, identifying drug targets specifi c to the TNBC subtype is crucial for eff ective treatment. Here, we propose a strategy to identify potential inhibitory targets specifi c to this subtype based on the gene dependency score (GDS), a quantitative measure of essentiality of each gene determined in cancer cell lines. Specifi cally, we compared the GDS values of 17,387 genes among cell lines of four breast cancer (BC) subtypes, namely luminal A, luminal B, HER2-positive, and TNBC, to identify genes showing specifi c essentiality in TNBC subtype cell lines. Twenty-two genes were predicted as potential inhibitory targets. Of these, we selected two genes, ILK and RHOA , based on survival analysis conducted across the four BC subtypes. We propose these two genes as potential biomarkers for TNBC. Furthermore, we experimentally validated that inhibiting ILK expression with a specifi c inhibitor reduced cell viability more in TNBC subtype cell lines than in other BC subtype cell lines. Therefore, ILK is a potential drug target specifi c to TNBC. The strategy proposed is expected to be useful in identifying biomarker and therapeutic target genes in not only BC but also other cancers. KCI Citation Count: 0
Patients with triple-negative breast cancer (TNBC) often face an unfavorable prognosis due to the lack of targeted therapy. Thus, identifying drug targets specific to the TNBC subtype is crucial for effective treatment. Here, we propose a strategy to identify potential inhibitory targets specific to this subtype based on the gene dependency score (GDS), a quantitative measure of essentiality of each gene determined in cancer cell lines. Specifically, we compared the GDS values of 17,387 genes among cell lines of four breast cancer (BC) subtypes, namely luminal A, luminal B, HER2-positive, and TNBC, to identify genes showing specific essentiality in TNBC subtype cell lines. Twenty-two genes were predicted as potential inhibitory targets. Of these, we selected two genes, ILK and RHOA, based on survival analysis conducted across the four BC subtypes. We propose these two genes as potential biomarkers for TNBC. Furthermore, we experimentally validated that inhibiting ILK expression with a specific inhibitor reduced cell viability more in TNBC subtype cell lines than in other BC subtype cell lines. Therefore, ILK is a potential drug target specific to TNBC. The strategy proposed is expected to be useful in identifying biomarker and therapeutic target genes in not only BC but also other cancers.
Patients with triple-negative breast cancer (TNBC) often face an unfavorable prognosis due to the lack of targeted therapy. Thus, identifying drug targets specific to the TNBC subtype is crucial for effective treatment. Here, we propose a strategy to identify potential inhibitory targets specific to this subtype based on the gene dependency score (GDS), a quantitative measure of essentiality of each gene determined in cancer cell lines. Specifically, we compared the GDS values of 17,387 genes among cell lines of four breast cancer (BC) subtypes, namely luminal A, luminal B, HER2-positive, and TNBC, to identify genes showing specific essentiality in TNBC subtype cell lines. Twenty-two genes were predicted as potential inhibitory targets. Of these, we selected two genes, ILK and RHOA , based on survival analysis conducted across the four BC subtypes. We propose these two genes as potential biomarkers for TNBC. Furthermore, we experimentally validated that inhibiting ILK expression with a specific inhibitor reduced cell viability more in TNBC subtype cell lines than in other BC subtype cell lines. Therefore, ILK is a potential drug target specific to TNBC. The strategy proposed is expected to be useful in identifying biomarker and therapeutic target genes in not only BC but also other cancers.
Author Kim, Gahee
Choi, Yoojin
Kim, Bo Kyung
Hwangbo, Suhyun
Hur, Wonhee
Ryu, Jae Yong
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Snippet Patients with triple-negative breast cancer (TNBC) often face an unfavorable prognosis due to the lack of targeted therapy. Thus, identifying drug targets...
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SubjectTerms Biomarkers
Biotechnology
Breast cancer
breast neoplasms
Cell survival
Cell viability
Chemistry
Chemistry and Materials Science
Comparative analysis
drugs
ErbB-2 protein
Genes
ILK protein
Industrial and Production Engineering
Medical prognosis
neoplasm cells
prognosis
Research Paper
RhoA protein
Survival analysis
Therapeutic targets
therapeutics
Tumor cell lines
생물공학
Title Discovery of anticancer targets for triple-negative breast cancer through comparative analysis of gene dependency score
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Volume 29
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