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Comprehensive analysis of transient receptor potential channels-related signature for prognosis, tumor immune microenvironment, and treatment response of colorectal cancer
BackgroundTransient receptor potential channels (TRPC) play critical regulatory functions in cancer occurrence and progression. However, knowledge on its role in colorectal cancer (CRC) is limited. In addition, neoadjuvant treatment and immune checkpoint inhibitors (ICIs) have increasing roles in CR...
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Published in: | Frontiers in immunology 2022-10, Vol.13, p.1014834-1014834 |
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description | BackgroundTransient receptor potential channels (TRPC) play critical regulatory functions in cancer occurrence and progression. However, knowledge on its role in colorectal cancer (CRC) is limited. In addition, neoadjuvant treatment and immune checkpoint inhibitors (ICIs) have increasing roles in CRC management, but not all patients benefit from them. In this study, a TRPC related signature (TRPCRS) was constructed for prognosis, tumor immune microenvironment (TIME), and treatment response of CRC. MethodsData on CRC gene expression and clinical features were retrospectively collected from TCGA and GEO databases. Twenty-eight TRPC regulators (TRPCR) were retrieved using gene set enrichment analysis. Different TRPCR expression patterns were identified using non-negative matrix factorization for consensus clustering, and a TRPCRS was established using LASSO. The potential value of TRPCRS was assessed using functional enrichment analysis, tumor immune analysis, tumor somatic mutation analysis, and response to preoperative chemoradiotherapy or ICIs. Moreover, an external validation was conducted using rectal cancer samples that received preoperative chemoradiotherapy at Fujian Cancer Hospital (FJCH) via qRT-PCR. ResultsAmong 834 CRC samples in the TCGA and meta-GEO cohorts, two TRPCR expression patterns were identified, which were associated with various immune infiltrations. In addition, 266 intersected genes from 5564 differentially expressed genes (DEGs) between two TRPC subtypes, 4605 DEGs between tumor tissue and adjacent non-tumor tissue (all FDR< 0.05, adjusted P< 0.001), and 1329 prognostic related genes (P< 0.05) were identified to establish the TRPCRS, which was confirmed in the TCGA cohort, two cohorts from GEO, and one qRT-PCR cohort from FJCH. According to the current signature, the high-TRPC score group had higher expressions of PD-1, PD-L1, and CTLA4, lower TIDE score, and improved response to anti-PD-1 treatment with better predictive ability. Compared to the high-TRPC score group, the low-TRPC score group comprised an immunosuppressive phenotype with increased infiltration of neutrophils and activated MAPK signaling pathway, but was more sensitive to preoperative chemoradiotherapy and associated with improved prognosis. ConclusionsThe current TRPCRS predicted the prognosis of CRC, evaluated the TIME in CRC, and anticipated the response to immune therapy and neoadjuvant treatment. |
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fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_d7f1862f28c2456d975c5be76a999b00</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_d7f1862f28c2456d975c5be76a999b00</doaj_id><sourcerecordid>2737468930</sourcerecordid><originalsourceid>FETCH-LOGICAL-c445t-bba98e989b997eec0e81d139ce361d715cbb60667ec1a8d2bf946672fb07d0743</originalsourceid><addsrcrecordid>eNpVkstq3DAUhk1poSHNC3TlZRfxVDfL1qZQhl4CgWzStdDleEbBklxJHsgz9SUrZ4bSaCOdI_F9kvib5iNGO0pH8Xly3q87ggjZYYTZSNmb5gpzzjpKCHv73_p9c5PzE6qDCUppf9X82Ue_JDhCyO4ErQpqfs4ut3FqS1K1CaG0CQwsJaZ2iaXWTs2tOaoQYM5dglkVsG12h6DKmqCdtoMpHkKsoNu2rL42tisGaL0zKUI4uRSDr6jbarTVBKr4sykvMWTY_CbOsZrLZlPBQPrQvJvUnOHmMl83v75_e9z_7O4fftztv953hrG-dForMYIYhRZiADAIRmwxFQYox3bAvdGaI84HMFiNluhJsFqRSaPBooHR6-buzLVRPcklOa_Ss4zKyZdGTAepUnFmBmmHCY-cTGQ0hPXciqE3vYaBKyGERqiyvpxZy6o9WFMfmdT8Cvp6J7ijPMSTFJwRxPoK-HQBpPh7hVykd9nAPKsAcc2SDHRgfBR0c5Hz0frHOSeY_mkwkltS5EtS5JYUeUkK_Qu10rm_</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2737468930</pqid></control><display><type>article</type><title>Comprehensive analysis of transient receptor potential channels-related signature for prognosis, tumor immune microenvironment, and treatment response of colorectal cancer</title><source>Open Access: PubMed Central</source><creator>Wang, Lei ; Chen, Xingte ; Zhang, Hejun ; Hong, Liang ; Wang, Jianchao ; Shao, Lingdong ; Chen, Gang ; Wu, Junxin</creator><creatorcontrib>Wang, Lei ; Chen, Xingte ; Zhang, Hejun ; Hong, Liang ; Wang, Jianchao ; Shao, Lingdong ; Chen, Gang ; Wu, Junxin</creatorcontrib><description>BackgroundTransient receptor potential channels (TRPC) play critical regulatory functions in cancer occurrence and progression. However, knowledge on its role in colorectal cancer (CRC) is limited. In addition, neoadjuvant treatment and immune checkpoint inhibitors (ICIs) have increasing roles in CRC management, but not all patients benefit from them. In this study, a TRPC related signature (TRPCRS) was constructed for prognosis, tumor immune microenvironment (TIME), and treatment response of CRC. MethodsData on CRC gene expression and clinical features were retrospectively collected from TCGA and GEO databases. Twenty-eight TRPC regulators (TRPCR) were retrieved using gene set enrichment analysis. Different TRPCR expression patterns were identified using non-negative matrix factorization for consensus clustering, and a TRPCRS was established using LASSO. The potential value of TRPCRS was assessed using functional enrichment analysis, tumor immune analysis, tumor somatic mutation analysis, and response to preoperative chemoradiotherapy or ICIs. Moreover, an external validation was conducted using rectal cancer samples that received preoperative chemoradiotherapy at Fujian Cancer Hospital (FJCH) via qRT-PCR. ResultsAmong 834 CRC samples in the TCGA and meta-GEO cohorts, two TRPCR expression patterns were identified, which were associated with various immune infiltrations. In addition, 266 intersected genes from 5564 differentially expressed genes (DEGs) between two TRPC subtypes, 4605 DEGs between tumor tissue and adjacent non-tumor tissue (all FDR< 0.05, adjusted P< 0.001), and 1329 prognostic related genes (P< 0.05) were identified to establish the TRPCRS, which was confirmed in the TCGA cohort, two cohorts from GEO, and one qRT-PCR cohort from FJCH. According to the current signature, the high-TRPC score group had higher expressions of PD-1, PD-L1, and CTLA4, lower TIDE score, and improved response to anti-PD-1 treatment with better predictive ability. Compared to the high-TRPC score group, the low-TRPC score group comprised an immunosuppressive phenotype with increased infiltration of neutrophils and activated MAPK signaling pathway, but was more sensitive to preoperative chemoradiotherapy and associated with improved prognosis. ConclusionsThe current TRPCRS predicted the prognosis of CRC, evaluated the TIME in CRC, and anticipated the response to immune therapy and neoadjuvant treatment.</description><identifier>ISSN: 1664-3224</identifier><identifier>EISSN: 1664-3224</identifier><identifier>DOI: 10.3389/fimmu.2022.1014834</identifier><language>eng</language><publisher>Frontiers Media S.A</publisher><subject>colorectal cancer ; immune checkpoint inhibitor ; Immunology ; neoadjuvant treatment ; prognosis ; transient receptor potential channels</subject><ispartof>Frontiers in immunology, 2022-10, Vol.13, p.1014834-1014834</ispartof><rights>Copyright © 2022 Wang, Chen, Zhang, Hong, Wang, Shao, Chen and Wu 2022 Wang, Chen, Zhang, Hong, Wang, Shao, Chen and Wu</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c445t-bba98e989b997eec0e81d139ce361d715cbb60667ec1a8d2bf946672fb07d0743</citedby><cites>FETCH-LOGICAL-c445t-bba98e989b997eec0e81d139ce361d715cbb60667ec1a8d2bf946672fb07d0743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9642045/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9642045/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids></links><search><creatorcontrib>Wang, Lei</creatorcontrib><creatorcontrib>Chen, Xingte</creatorcontrib><creatorcontrib>Zhang, Hejun</creatorcontrib><creatorcontrib>Hong, Liang</creatorcontrib><creatorcontrib>Wang, Jianchao</creatorcontrib><creatorcontrib>Shao, Lingdong</creatorcontrib><creatorcontrib>Chen, Gang</creatorcontrib><creatorcontrib>Wu, Junxin</creatorcontrib><title>Comprehensive analysis of transient receptor potential channels-related signature for prognosis, tumor immune microenvironment, and treatment response of colorectal cancer</title><title>Frontiers in immunology</title><description>BackgroundTransient receptor potential channels (TRPC) play critical regulatory functions in cancer occurrence and progression. However, knowledge on its role in colorectal cancer (CRC) is limited. In addition, neoadjuvant treatment and immune checkpoint inhibitors (ICIs) have increasing roles in CRC management, but not all patients benefit from them. In this study, a TRPC related signature (TRPCRS) was constructed for prognosis, tumor immune microenvironment (TIME), and treatment response of CRC. MethodsData on CRC gene expression and clinical features were retrospectively collected from TCGA and GEO databases. Twenty-eight TRPC regulators (TRPCR) were retrieved using gene set enrichment analysis. Different TRPCR expression patterns were identified using non-negative matrix factorization for consensus clustering, and a TRPCRS was established using LASSO. The potential value of TRPCRS was assessed using functional enrichment analysis, tumor immune analysis, tumor somatic mutation analysis, and response to preoperative chemoradiotherapy or ICIs. Moreover, an external validation was conducted using rectal cancer samples that received preoperative chemoradiotherapy at Fujian Cancer Hospital (FJCH) via qRT-PCR. ResultsAmong 834 CRC samples in the TCGA and meta-GEO cohorts, two TRPCR expression patterns were identified, which were associated with various immune infiltrations. In addition, 266 intersected genes from 5564 differentially expressed genes (DEGs) between two TRPC subtypes, 4605 DEGs between tumor tissue and adjacent non-tumor tissue (all FDR< 0.05, adjusted P< 0.001), and 1329 prognostic related genes (P< 0.05) were identified to establish the TRPCRS, which was confirmed in the TCGA cohort, two cohorts from GEO, and one qRT-PCR cohort from FJCH. According to the current signature, the high-TRPC score group had higher expressions of PD-1, PD-L1, and CTLA4, lower TIDE score, and improved response to anti-PD-1 treatment with better predictive ability. Compared to the high-TRPC score group, the low-TRPC score group comprised an immunosuppressive phenotype with increased infiltration of neutrophils and activated MAPK signaling pathway, but was more sensitive to preoperative chemoradiotherapy and associated with improved prognosis. ConclusionsThe current TRPCRS predicted the prognosis of CRC, evaluated the TIME in CRC, and anticipated the response to immune therapy and neoadjuvant treatment.</description><subject>colorectal cancer</subject><subject>immune checkpoint inhibitor</subject><subject>Immunology</subject><subject>neoadjuvant treatment</subject><subject>prognosis</subject><subject>transient receptor potential channels</subject><issn>1664-3224</issn><issn>1664-3224</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkstq3DAUhk1poSHNC3TlZRfxVDfL1qZQhl4CgWzStdDleEbBklxJHsgz9SUrZ4bSaCOdI_F9kvib5iNGO0pH8Xly3q87ggjZYYTZSNmb5gpzzjpKCHv73_p9c5PzE6qDCUppf9X82Ue_JDhCyO4ErQpqfs4ut3FqS1K1CaG0CQwsJaZ2iaXWTs2tOaoQYM5dglkVsG12h6DKmqCdtoMpHkKsoNu2rL42tisGaL0zKUI4uRSDr6jbarTVBKr4sykvMWTY_CbOsZrLZlPBQPrQvJvUnOHmMl83v75_e9z_7O4fftztv953hrG-dForMYIYhRZiADAIRmwxFQYox3bAvdGaI84HMFiNluhJsFqRSaPBooHR6-buzLVRPcklOa_Ss4zKyZdGTAepUnFmBmmHCY-cTGQ0hPXciqE3vYaBKyGERqiyvpxZy6o9WFMfmdT8Cvp6J7ijPMSTFJwRxPoK-HQBpPh7hVykd9nAPKsAcc2SDHRgfBR0c5Hz0frHOSeY_mkwkltS5EtS5JYUeUkK_Qu10rm_</recordid><startdate>20221018</startdate><enddate>20221018</enddate><creator>Wang, Lei</creator><creator>Chen, Xingte</creator><creator>Zhang, Hejun</creator><creator>Hong, Liang</creator><creator>Wang, Jianchao</creator><creator>Shao, Lingdong</creator><creator>Chen, Gang</creator><creator>Wu, Junxin</creator><general>Frontiers Media S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20221018</creationdate><title>Comprehensive analysis of transient receptor potential channels-related signature for prognosis, tumor immune microenvironment, and treatment response of colorectal cancer</title><author>Wang, Lei ; Chen, Xingte ; Zhang, Hejun ; Hong, Liang ; Wang, Jianchao ; Shao, Lingdong ; Chen, Gang ; Wu, Junxin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-bba98e989b997eec0e81d139ce361d715cbb60667ec1a8d2bf946672fb07d0743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>colorectal cancer</topic><topic>immune checkpoint inhibitor</topic><topic>Immunology</topic><topic>neoadjuvant treatment</topic><topic>prognosis</topic><topic>transient receptor potential channels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Lei</creatorcontrib><creatorcontrib>Chen, Xingte</creatorcontrib><creatorcontrib>Zhang, Hejun</creatorcontrib><creatorcontrib>Hong, Liang</creatorcontrib><creatorcontrib>Wang, Jianchao</creatorcontrib><creatorcontrib>Shao, Lingdong</creatorcontrib><creatorcontrib>Chen, Gang</creatorcontrib><creatorcontrib>Wu, Junxin</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Frontiers in immunology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Lei</au><au>Chen, Xingte</au><au>Zhang, Hejun</au><au>Hong, Liang</au><au>Wang, Jianchao</au><au>Shao, Lingdong</au><au>Chen, Gang</au><au>Wu, Junxin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comprehensive analysis of transient receptor potential channels-related signature for prognosis, tumor immune microenvironment, and treatment response of colorectal cancer</atitle><jtitle>Frontiers in immunology</jtitle><date>2022-10-18</date><risdate>2022</risdate><volume>13</volume><spage>1014834</spage><epage>1014834</epage><pages>1014834-1014834</pages><issn>1664-3224</issn><eissn>1664-3224</eissn><abstract>BackgroundTransient receptor potential channels (TRPC) play critical regulatory functions in cancer occurrence and progression. However, knowledge on its role in colorectal cancer (CRC) is limited. In addition, neoadjuvant treatment and immune checkpoint inhibitors (ICIs) have increasing roles in CRC management, but not all patients benefit from them. In this study, a TRPC related signature (TRPCRS) was constructed for prognosis, tumor immune microenvironment (TIME), and treatment response of CRC. MethodsData on CRC gene expression and clinical features were retrospectively collected from TCGA and GEO databases. Twenty-eight TRPC regulators (TRPCR) were retrieved using gene set enrichment analysis. Different TRPCR expression patterns were identified using non-negative matrix factorization for consensus clustering, and a TRPCRS was established using LASSO. The potential value of TRPCRS was assessed using functional enrichment analysis, tumor immune analysis, tumor somatic mutation analysis, and response to preoperative chemoradiotherapy or ICIs. Moreover, an external validation was conducted using rectal cancer samples that received preoperative chemoradiotherapy at Fujian Cancer Hospital (FJCH) via qRT-PCR. ResultsAmong 834 CRC samples in the TCGA and meta-GEO cohorts, two TRPCR expression patterns were identified, which were associated with various immune infiltrations. In addition, 266 intersected genes from 5564 differentially expressed genes (DEGs) between two TRPC subtypes, 4605 DEGs between tumor tissue and adjacent non-tumor tissue (all FDR< 0.05, adjusted P< 0.001), and 1329 prognostic related genes (P< 0.05) were identified to establish the TRPCRS, which was confirmed in the TCGA cohort, two cohorts from GEO, and one qRT-PCR cohort from FJCH. According to the current signature, the high-TRPC score group had higher expressions of PD-1, PD-L1, and CTLA4, lower TIDE score, and improved response to anti-PD-1 treatment with better predictive ability. Compared to the high-TRPC score group, the low-TRPC score group comprised an immunosuppressive phenotype with increased infiltration of neutrophils and activated MAPK signaling pathway, but was more sensitive to preoperative chemoradiotherapy and associated with improved prognosis. ConclusionsThe current TRPCRS predicted the prognosis of CRC, evaluated the TIME in CRC, and anticipated the response to immune therapy and neoadjuvant treatment.</abstract><pub>Frontiers Media S.A</pub><doi>10.3389/fimmu.2022.1014834</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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title | Comprehensive analysis of transient receptor potential channels-related signature for prognosis, tumor immune microenvironment, and treatment response of colorectal cancer |
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