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 in | Biotechnology and bioprocess engineering Vol. 29; no. 6; pp. 1061 - 1070 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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. |
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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 |
Author_xml | – sequence: 1 givenname: Bo Kyung surname: Kim fullname: Kim, Bo Kyung organization: Department of Biotechnology, Duksung Women’s University – sequence: 2 givenname: Gahee surname: Kim fullname: Kim, Gahee organization: Division of Chronic Viral Diseases, Center for Emerging Virus Research, Korea National Institute of Health, Department of Pharmacy, Chungbuk National University – sequence: 3 givenname: Wonhee surname: Hur fullname: Hur, Wonhee organization: Division of Chronic Viral Diseases, Center for Emerging Virus Research, Korea National Institute of Health – sequence: 4 givenname: Yoojin surname: Choi fullname: Choi, Yoojin organization: Department of Chemistry, Research Institute of Chem-Bio Diagnostic Technology, Chung-Ang University – sequence: 5 givenname: Suhyun surname: Hwangbo fullname: Hwangbo, Suhyun email: 83462@snuh.org organization: Department of Genomic Medicine, Seoul National University Hospital – sequence: 6 givenname: Jae Yong orcidid: 0000-0003-0603-1599 surname: Ryu fullname: Ryu, Jae Yong email: jyryu@duksung.ac.kr organization: Department of Biotechnology, Duksung Women’s University, Artificial Intelligence Laboratory, Oncocross Co., Ltd |
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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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