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Distinct spatial landscapes in clear-cell renal cell carcinoma as revealed by whole transcriptome analysis
Clear-cell renal cell carcinoma (ccRCC) is the most common and aggressive form of renal cancer and a paradigm of inter- and intratumor heterogeneity. We carried out an exploratory digital spatial profiling of the tumor interior and periphery of two ccRCC tumor specimens and mapped spatially the mole...
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Published in: | Immuno-oncology technology 2024-03, Vol.21, p.100690, Article 100690 |
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description | Clear-cell renal cell carcinoma (ccRCC) is the most common and aggressive form of renal cancer and a paradigm of inter- and intratumor heterogeneity. We carried out an exploratory digital spatial profiling of the tumor interior and periphery of two ccRCC tumor specimens and mapped spatially the molecular and cellular composition of their tumor microenvironment and ecosystem.
Digital spatial profiling of the whole transcriptome of 19 regions of interest (ROIs) was carried out from two selected highly immunogenic stage pT3a/grade 3 (G3) and stage pT3a/grade 4 (G4) ccRCC. A total of 9-10 ROIs were selected from distinct areas from each tumor, including tumor interior and tumor periphery, and differences in gene expression were analyzed by RNA sequencing, pathway enrichment analysis, and cell deconvolution.
The distinct areas from the two locally advanced tumors displayed unique gene expression spatial patterns defining distinct biological pathways. Dimensional reduction analysis showed that the G3 ccRCC, compared to the G4 ccRCC, correlated with more variability between regions from the tumor interior and tumor periphery. Cell deconvolution analysis illustrated higher abundance of immune cells, including macrophages, myeloid dendritic cells, and CD4 T cells, and lower abundance of regulatory T cells in the tumor periphery compared to the tumor interior.
Transcriptome spatial profiling revealed high inter- and intratumor heterogeneity in the analyzed tumors and provided information with potential clinical utility. This included the finding of less intratumor heterogeneity and more tumor-infiltrated T cells in the ccRCC tumor specimen with a higher grade.
•Whole transcriptome analysis reveals distinct spatial landscapes in ccRCC.•Transcriptome spatial profiling revealed high inter- and intratumor heterogeneity in ccRCC.•Spatial transcriptomics and cell type deconvolution showed differential distribution of immune cells in ccRCC tumor interior and periphery. |
doi_str_mv | 10.1016/j.iotech.2023.100690 |
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Digital spatial profiling of the whole transcriptome of 19 regions of interest (ROIs) was carried out from two selected highly immunogenic stage pT3a/grade 3 (G3) and stage pT3a/grade 4 (G4) ccRCC. A total of 9-10 ROIs were selected from distinct areas from each tumor, including tumor interior and tumor periphery, and differences in gene expression were analyzed by RNA sequencing, pathway enrichment analysis, and cell deconvolution.
The distinct areas from the two locally advanced tumors displayed unique gene expression spatial patterns defining distinct biological pathways. Dimensional reduction analysis showed that the G3 ccRCC, compared to the G4 ccRCC, correlated with more variability between regions from the tumor interior and tumor periphery. Cell deconvolution analysis illustrated higher abundance of immune cells, including macrophages, myeloid dendritic cells, and CD4 T cells, and lower abundance of regulatory T cells in the tumor periphery compared to the tumor interior.
Transcriptome spatial profiling revealed high inter- and intratumor heterogeneity in the analyzed tumors and provided information with potential clinical utility. This included the finding of less intratumor heterogeneity and more tumor-infiltrated T cells in the ccRCC tumor specimen with a higher grade.
•Whole transcriptome analysis reveals distinct spatial landscapes in ccRCC.•Transcriptome spatial profiling revealed high inter- and intratumor heterogeneity in ccRCC.•Spatial transcriptomics and cell type deconvolution showed differential distribution of immune cells in ccRCC tumor interior and periphery.</description><identifier>ISSN: 2590-0188</identifier><identifier>EISSN: 2590-0188</identifier><identifier>DOI: 10.1016/j.iotech.2023.100690</identifier><identifier>PMID: 38292905</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>clear-cell renal cell carcinoma ; digital spatial profiling ; Original ; whole transcriptome</subject><ispartof>Immuno-oncology technology, 2024-03, Vol.21, p.100690, Article 100690</ispartof><rights>2023 The Author(s)</rights><rights>2023 The Author(s).</rights><rights>2023 The Author(s) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3940-ca33ea08023f4ef2545fb3c28c4244afbbc677ba9f7c95e2912bd14ef23548f33</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/PMC10825646/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2590018823003763$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3549,27924,27925,45780,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38292905$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>López, J.I.</creatorcontrib><creatorcontrib>Hogan, M.F.</creatorcontrib><creatorcontrib>Sutton, B.</creatorcontrib><creatorcontrib>Church, S.E.</creatorcontrib><creatorcontrib>Angulo, J.C.</creatorcontrib><creatorcontrib>Nunes-Xavier, C.E.</creatorcontrib><title>Distinct spatial landscapes in clear-cell renal cell carcinoma as revealed by whole transcriptome analysis</title><title>Immuno-oncology technology</title><addtitle>Immunooncol Technol</addtitle><description>Clear-cell renal cell carcinoma (ccRCC) is the most common and aggressive form of renal cancer and a paradigm of inter- and intratumor heterogeneity. We carried out an exploratory digital spatial profiling of the tumor interior and periphery of two ccRCC tumor specimens and mapped spatially the molecular and cellular composition of their tumor microenvironment and ecosystem.
Digital spatial profiling of the whole transcriptome of 19 regions of interest (ROIs) was carried out from two selected highly immunogenic stage pT3a/grade 3 (G3) and stage pT3a/grade 4 (G4) ccRCC. A total of 9-10 ROIs were selected from distinct areas from each tumor, including tumor interior and tumor periphery, and differences in gene expression were analyzed by RNA sequencing, pathway enrichment analysis, and cell deconvolution.
The distinct areas from the two locally advanced tumors displayed unique gene expression spatial patterns defining distinct biological pathways. Dimensional reduction analysis showed that the G3 ccRCC, compared to the G4 ccRCC, correlated with more variability between regions from the tumor interior and tumor periphery. Cell deconvolution analysis illustrated higher abundance of immune cells, including macrophages, myeloid dendritic cells, and CD4 T cells, and lower abundance of regulatory T cells in the tumor periphery compared to the tumor interior.
Transcriptome spatial profiling revealed high inter- and intratumor heterogeneity in the analyzed tumors and provided information with potential clinical utility. This included the finding of less intratumor heterogeneity and more tumor-infiltrated T cells in the ccRCC tumor specimen with a higher grade.
•Whole transcriptome analysis reveals distinct spatial landscapes in ccRCC.•Transcriptome spatial profiling revealed high inter- and intratumor heterogeneity in ccRCC.•Spatial transcriptomics and cell type deconvolution showed differential distribution of immune cells in ccRCC tumor interior and periphery.</description><subject>clear-cell renal cell carcinoma</subject><subject>digital spatial profiling</subject><subject>Original</subject><subject>whole transcriptome</subject><issn>2590-0188</issn><issn>2590-0188</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kUtv1DAQxyMEolXpN0DIRy5Z_MrDFxAqr0qVuMDZmkzGXUdJvNjZrfbb421K1V442Zr5z28e_6J4K_hGcFF_GDY-LITbjeRS5RCvDX9RnMvK8JKLtn355H9WXKY0cM5lYzRv-eviTLXSSMOr82L44tPiZ1xY2sHiYWQjzH1C2FFifmY4EsQSaRxZpDmn778IEf0cJmCQcvxAMFLPuiO724aR2BJhThj9bgkTMchlx-TTm-KVgzHR5cN7Ufz-9vXX1Y_y5uf366vPNyWqPF-JoBRBnlMqp8nJSleuUyhb1FJrcF2HddN0YFyDpiJphOx6cVKqSrdOqYvieuX2AQa7i36CeLQBvL0PhHhrIS4-b2ZR1Eb0vHIgWq2IWiNqosxQRnBsXGZ9Wlm7fTdRjzTn3cZn0OeZ2W_tbThYwVtZ1brOhPcPhBj-7CktdvLpdESYKeyTzUbwqtFaNFmqVynGkFIk99hHcHuy3Q52td2ebLer7bns3dMZH4v-mZwFH1cB5asfPEWb0NOM1PtIuOSz-P93-As9mMHP</recordid><startdate>20240301</startdate><enddate>20240301</enddate><creator>López, J.I.</creator><creator>Hogan, M.F.</creator><creator>Sutton, B.</creator><creator>Church, S.E.</creator><creator>Angulo, J.C.</creator><creator>Nunes-Xavier, C.E.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20240301</creationdate><title>Distinct spatial landscapes in clear-cell renal cell carcinoma as revealed by whole transcriptome analysis</title><author>López, J.I. ; Hogan, M.F. ; Sutton, B. ; Church, S.E. ; Angulo, J.C. ; Nunes-Xavier, C.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3940-ca33ea08023f4ef2545fb3c28c4244afbbc677ba9f7c95e2912bd14ef23548f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>clear-cell renal cell carcinoma</topic><topic>digital spatial profiling</topic><topic>Original</topic><topic>whole transcriptome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>López, J.I.</creatorcontrib><creatorcontrib>Hogan, M.F.</creatorcontrib><creatorcontrib>Sutton, B.</creatorcontrib><creatorcontrib>Church, S.E.</creatorcontrib><creatorcontrib>Angulo, J.C.</creatorcontrib><creatorcontrib>Nunes-Xavier, C.E.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Immuno-oncology technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>López, J.I.</au><au>Hogan, M.F.</au><au>Sutton, B.</au><au>Church, S.E.</au><au>Angulo, J.C.</au><au>Nunes-Xavier, C.E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distinct spatial landscapes in clear-cell renal cell carcinoma as revealed by whole transcriptome analysis</atitle><jtitle>Immuno-oncology technology</jtitle><addtitle>Immunooncol Technol</addtitle><date>2024-03-01</date><risdate>2024</risdate><volume>21</volume><spage>100690</spage><pages>100690-</pages><artnum>100690</artnum><issn>2590-0188</issn><eissn>2590-0188</eissn><abstract>Clear-cell renal cell carcinoma (ccRCC) is the most common and aggressive form of renal cancer and a paradigm of inter- and intratumor heterogeneity. We carried out an exploratory digital spatial profiling of the tumor interior and periphery of two ccRCC tumor specimens and mapped spatially the molecular and cellular composition of their tumor microenvironment and ecosystem.
Digital spatial profiling of the whole transcriptome of 19 regions of interest (ROIs) was carried out from two selected highly immunogenic stage pT3a/grade 3 (G3) and stage pT3a/grade 4 (G4) ccRCC. A total of 9-10 ROIs were selected from distinct areas from each tumor, including tumor interior and tumor periphery, and differences in gene expression were analyzed by RNA sequencing, pathway enrichment analysis, and cell deconvolution.
The distinct areas from the two locally advanced tumors displayed unique gene expression spatial patterns defining distinct biological pathways. Dimensional reduction analysis showed that the G3 ccRCC, compared to the G4 ccRCC, correlated with more variability between regions from the tumor interior and tumor periphery. Cell deconvolution analysis illustrated higher abundance of immune cells, including macrophages, myeloid dendritic cells, and CD4 T cells, and lower abundance of regulatory T cells in the tumor periphery compared to the tumor interior.
Transcriptome spatial profiling revealed high inter- and intratumor heterogeneity in the analyzed tumors and provided information with potential clinical utility. This included the finding of less intratumor heterogeneity and more tumor-infiltrated T cells in the ccRCC tumor specimen with a higher grade.
•Whole transcriptome analysis reveals distinct spatial landscapes in ccRCC.•Transcriptome spatial profiling revealed high inter- and intratumor heterogeneity in ccRCC.•Spatial transcriptomics and cell type deconvolution showed differential distribution of immune cells in ccRCC tumor interior and periphery.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>38292905</pmid><doi>10.1016/j.iotech.2023.100690</doi><oa>free_for_read</oa></addata></record> |
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title | Distinct spatial landscapes in clear-cell renal cell carcinoma as revealed by whole transcriptome analysis |
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