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Resensitizing Paclitaxel-Resistant Ovarian Cancer via Targeting Lipid Metabolism Key Enzymes CPT1A, SCD and FASN
Epithelial ovarian cancer (EOC) is a lethal gynecological cancer, of which paclitaxel resistance is the major factor limiting treatment outcomes, and identification of paclitaxel resistance-related genes is arduous. We obtained transcriptomic data from seven paclitaxel-resistant ovarian cancer cell...
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Published in: | International journal of molecular sciences 2023-11, Vol.24 (22), p.16503 |
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description | Epithelial ovarian cancer (EOC) is a lethal gynecological cancer, of which paclitaxel resistance is the major factor limiting treatment outcomes, and identification of paclitaxel resistance-related genes is arduous. We obtained transcriptomic data from seven paclitaxel-resistant ovarian cancer cell lines and corresponding sensitive cell lines. Define genes significantly up-regulated in at least three resistant cell lines, meanwhile they did not down-regulate in the other resistant cell lines as candidate genes. Candidate genes were then ranked according to the frequencies of significant up-regulation in resistant cell lines, defining genes with the highest rankings as paclitaxel resistance-related genes (PRGs). Patients were grouped based on the median expression of PRGs. The lipid metabolism-related gene set and the oncological gene set were established and took intersections with genes co-upregulated with PRGs, obtaining 229 co-upregulated genes associated with lipid metabolism and tumorigenesis. The PPI network obtained 19 highly confidential synergistic targets (interaction score > 0.7) that directly associated with CPT1A. Finally, FASN and SCD were up-stream substrate provider and competitor of CPT1A, respectively. Western blot and qRT-PCR results confirmed the over-expression of CPT1A, SCD and FASN in the A2780/PTX cell line. The inhibition of CPT1A, SCD and FASN down-regulated cell viability and migration, pharmacological blockade of CPT1A and SCD increased apoptosis rate and paclitaxel sensitivity of A2780/PTX. In summary, our novel bioinformatic methods can overcome difficulties in drug resistance evaluation, providing promising therapeutical strategies for paclitaxel-resistant EOC via taregting lipid metabolism-related enzymes. |
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We obtained transcriptomic data from seven paclitaxel-resistant ovarian cancer cell lines and corresponding sensitive cell lines. Define genes significantly up-regulated in at least three resistant cell lines, meanwhile they did not down-regulate in the other resistant cell lines as candidate genes. Candidate genes were then ranked according to the frequencies of significant up-regulation in resistant cell lines, defining genes with the highest rankings as paclitaxel resistance-related genes (PRGs). Patients were grouped based on the median expression of PRGs. The lipid metabolism-related gene set and the oncological gene set were established and took intersections with genes co-upregulated with PRGs, obtaining 229 co-upregulated genes associated with lipid metabolism and tumorigenesis. The PPI network obtained 19 highly confidential synergistic targets (interaction score > 0.7) that directly associated with CPT1A. Finally, FASN and SCD were up-stream substrate provider and competitor of CPT1A, respectively. Western blot and qRT-PCR results confirmed the over-expression of CPT1A, SCD and FASN in the A2780/PTX cell line. The inhibition of CPT1A, SCD and FASN down-regulated cell viability and migration, pharmacological blockade of CPT1A and SCD increased apoptosis rate and paclitaxel sensitivity of A2780/PTX. In summary, our novel bioinformatic methods can overcome difficulties in drug resistance evaluation, providing promising therapeutical strategies for paclitaxel-resistant EOC via taregting lipid metabolism-related enzymes.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms242216503</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Apoptosis ; Cancer therapies ; Cell cycle ; Chemotherapy ; CPT1A ; Drug resistance ; Endoplasmic reticulum ; Enzymes ; epithelial ovarian cancer ; FASN ; Fatty acids ; Force and energy ; Genes ; lipid metabolism ; Lipids ; Medical prognosis ; Metabolism ; Metastasis ; Ovarian cancer ; Oxidation ; Paclitaxel ; paclitaxel resistance ; SCD ; Signal transduction ; Survival analysis ; Tumors</subject><ispartof>International journal of molecular sciences, 2023-11, Vol.24 (22), p.16503</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c426t-c7773691e70a6b17549df2fcfbd72c74611a9d067ec3ab06b44b1c3789a2d96e3</cites><orcidid>0009-0009-4544-6923 ; 0009-0001-9193-9042 ; 0009-0008-2277-1718 ; 0000-0002-9874-4790 ; 0009-0006-0233-3599 ; 0000-0002-5881-6956</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2893076120/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2893076120?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590,75126</link.rule.ids></links><search><creatorcontrib>Ma, Qinsiyu</creatorcontrib><creatorcontrib>Liu, Zhan’ao</creatorcontrib><creatorcontrib>Wang, Tengyu</creatorcontrib><creatorcontrib>Zhao, Pengfei</creatorcontrib><creatorcontrib>Liu, Mingrui</creatorcontrib><creatorcontrib>Wang, Yifang</creatorcontrib><creatorcontrib>Zhao, Weitong</creatorcontrib><creatorcontrib>Yuan, Ying</creatorcontrib><creatorcontrib>Li, Shuo</creatorcontrib><title>Resensitizing Paclitaxel-Resistant Ovarian Cancer via Targeting Lipid Metabolism Key Enzymes CPT1A, SCD and FASN</title><title>International journal of molecular sciences</title><description>Epithelial ovarian cancer (EOC) is a lethal gynecological cancer, of which paclitaxel resistance is the major factor limiting treatment outcomes, and identification of paclitaxel resistance-related genes is arduous. We obtained transcriptomic data from seven paclitaxel-resistant ovarian cancer cell lines and corresponding sensitive cell lines. Define genes significantly up-regulated in at least three resistant cell lines, meanwhile they did not down-regulate in the other resistant cell lines as candidate genes. Candidate genes were then ranked according to the frequencies of significant up-regulation in resistant cell lines, defining genes with the highest rankings as paclitaxel resistance-related genes (PRGs). Patients were grouped based on the median expression of PRGs. The lipid metabolism-related gene set and the oncological gene set were established and took intersections with genes co-upregulated with PRGs, obtaining 229 co-upregulated genes associated with lipid metabolism and tumorigenesis. The PPI network obtained 19 highly confidential synergistic targets (interaction score > 0.7) that directly associated with CPT1A. Finally, FASN and SCD were up-stream substrate provider and competitor of CPT1A, respectively. Western blot and qRT-PCR results confirmed the over-expression of CPT1A, SCD and FASN in the A2780/PTX cell line. The inhibition of CPT1A, SCD and FASN down-regulated cell viability and migration, pharmacological blockade of CPT1A and SCD increased apoptosis rate and paclitaxel sensitivity of A2780/PTX. In summary, our novel bioinformatic methods can overcome difficulties in drug resistance evaluation, providing promising therapeutical strategies for paclitaxel-resistant EOC via taregting lipid metabolism-related enzymes.</description><subject>Apoptosis</subject><subject>Cancer therapies</subject><subject>Cell cycle</subject><subject>Chemotherapy</subject><subject>CPT1A</subject><subject>Drug resistance</subject><subject>Endoplasmic reticulum</subject><subject>Enzymes</subject><subject>epithelial ovarian cancer</subject><subject>FASN</subject><subject>Fatty acids</subject><subject>Force and energy</subject><subject>Genes</subject><subject>lipid metabolism</subject><subject>Lipids</subject><subject>Medical prognosis</subject><subject>Metabolism</subject><subject>Metastasis</subject><subject>Ovarian cancer</subject><subject>Oxidation</subject><subject>Paclitaxel</subject><subject>paclitaxel resistance</subject><subject>SCD</subject><subject>Signal transduction</subject><subject>Survival analysis</subject><subject>Tumors</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptks1vEzEQxVcIJErhyN0SFw5s8Vfs9TEKLVQEWtFwtsZeb-Ro1w62UzX963EaBBQhHzwa_94bPXma5jXBZ4wp_N5vpkw5pUTMMHvSnJBatxgL-fSv-nnzIucNxpTRmTpptt9cdiH74u99WKNrsKMvcOfGtj74XCAUdHULyUNACwjWJXTrAa0grV05KJZ-63v0xRUwcfR5Qp_dHp2H-_3kMlpcr8j8HbpZfEAQenQxv_n6snk2wJjdq1_3afP94ny1-NQurz5eLubL1nIqSmullEwo4iQGYYiccdUPdLCD6SW1kgtCQPU1j7MMDBaGc0Msk50C2ivh2GlzefTtI2z0NvkJ0l5H8PqhEdNaQyrejk4zywbeGcaxNVxQ3nFJqADsiDJGKVG93h69tin-2Llc9OSzdeMIwcVd1rRTrOMMY17RN_-gm7hLoSZ9oLAUhOI_1BrqfB-GWBLYg6meS8lZ_ULKKnX2H6qe3k3exuAGX_uPBO1RYFPMObnhd26C9WFF9KMVYT8BRAqq4Q</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Ma, Qinsiyu</creator><creator>Liu, Zhan’ao</creator><creator>Wang, Tengyu</creator><creator>Zhao, Pengfei</creator><creator>Liu, Mingrui</creator><creator>Wang, Yifang</creator><creator>Zhao, Weitong</creator><creator>Yuan, Ying</creator><creator>Li, Shuo</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0009-0009-4544-6923</orcidid><orcidid>https://orcid.org/0009-0001-9193-9042</orcidid><orcidid>https://orcid.org/0009-0008-2277-1718</orcidid><orcidid>https://orcid.org/0000-0002-9874-4790</orcidid><orcidid>https://orcid.org/0009-0006-0233-3599</orcidid><orcidid>https://orcid.org/0000-0002-5881-6956</orcidid></search><sort><creationdate>20231101</creationdate><title>Resensitizing Paclitaxel-Resistant Ovarian Cancer via Targeting Lipid Metabolism Key Enzymes CPT1A, SCD and FASN</title><author>Ma, Qinsiyu ; 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We obtained transcriptomic data from seven paclitaxel-resistant ovarian cancer cell lines and corresponding sensitive cell lines. Define genes significantly up-regulated in at least three resistant cell lines, meanwhile they did not down-regulate in the other resistant cell lines as candidate genes. Candidate genes were then ranked according to the frequencies of significant up-regulation in resistant cell lines, defining genes with the highest rankings as paclitaxel resistance-related genes (PRGs). Patients were grouped based on the median expression of PRGs. The lipid metabolism-related gene set and the oncological gene set were established and took intersections with genes co-upregulated with PRGs, obtaining 229 co-upregulated genes associated with lipid metabolism and tumorigenesis. The PPI network obtained 19 highly confidential synergistic targets (interaction score > 0.7) that directly associated with CPT1A. Finally, FASN and SCD were up-stream substrate provider and competitor of CPT1A, respectively. Western blot and qRT-PCR results confirmed the over-expression of CPT1A, SCD and FASN in the A2780/PTX cell line. The inhibition of CPT1A, SCD and FASN down-regulated cell viability and migration, pharmacological blockade of CPT1A and SCD increased apoptosis rate and paclitaxel sensitivity of A2780/PTX. 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subjects | Apoptosis Cancer therapies Cell cycle Chemotherapy CPT1A Drug resistance Endoplasmic reticulum Enzymes epithelial ovarian cancer FASN Fatty acids Force and energy Genes lipid metabolism Lipids Medical prognosis Metabolism Metastasis Ovarian cancer Oxidation Paclitaxel paclitaxel resistance SCD Signal transduction Survival analysis Tumors |
title | Resensitizing Paclitaxel-Resistant Ovarian Cancer via Targeting Lipid Metabolism Key Enzymes CPT1A, SCD and FASN |
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