Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Immuno-oncology technology 2024-03, Vol.21, p.100690, Article 100690
Main Authors: López, J.I., Hogan, M.F., Sutton, B., Church, S.E., Angulo, J.C., Nunes-Xavier, C.E.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c3940-ca33ea08023f4ef2545fb3c28c4244afbbc677ba9f7c95e2912bd14ef23548f33
container_end_page
container_issue
container_start_page 100690
container_title Immuno-oncology technology
container_volume 21
creator López, J.I.
Hogan, M.F.
Sutton, B.
Church, S.E.
Angulo, J.C.
Nunes-Xavier, C.E.
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
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_c1691d05fa1843ee8916eef333910c7f</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2590018823003763</els_id><doaj_id>oai_doaj_org_article_c1691d05fa1843ee8916eef333910c7f</doaj_id><sourcerecordid>2920574417</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3940-ca33ea08023f4ef2545fb3c28c4244afbbc677ba9f7c95e2912bd14ef23548f33</originalsourceid><addsrcrecordid>eNp9kUtv1DAQxyMEolXpN0DIRy5Z_MrDFxAqr0qVuMDZmkzGXUdJvNjZrfbb421K1V442Zr5z28e_6J4K_hGcFF_GDY-LITbjeRS5RCvDX9RnMvK8JKLtn355H9WXKY0cM5lYzRv-eviTLXSSMOr82L44tPiZ1xY2sHiYWQjzH1C2FFifmY4EsQSaRxZpDmn778IEf0cJmCQcvxAMFLPuiO724aR2BJhThj9bgkTMchlx-TTm-KVgzHR5cN7Ufz-9vXX1Y_y5uf366vPNyWqPF-JoBRBnlMqp8nJSleuUyhb1FJrcF2HddN0YFyDpiJphOx6cVKqSrdOqYvieuX2AQa7i36CeLQBvL0PhHhrIS4-b2ZR1Eb0vHIgWq2IWiNqosxQRnBsXGZ9Wlm7fTdRjzTn3cZn0OeZ2W_tbThYwVtZ1brOhPcPhBj-7CktdvLpdESYKeyTzUbwqtFaNFmqVynGkFIk99hHcHuy3Q52td2ebLer7bns3dMZH4v-mZwFH1cB5asfPEWb0NOM1PtIuOSz-P93-As9mMHP</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2920574417</pqid></control><display><type>article</type><title>Distinct spatial landscapes in clear-cell renal cell carcinoma as revealed by whole transcriptome analysis</title><source>Elsevier ScienceDirect Journals</source><source>PubMed Central</source><creator>López, J.I. ; Hogan, M.F. ; Sutton, B. ; Church, S.E. ; Angulo, J.C. ; Nunes-Xavier, C.E.</creator><creatorcontrib>López, J.I. ; Hogan, M.F. ; Sutton, B. ; Church, S.E. ; Angulo, J.C. ; Nunes-Xavier, C.E.</creatorcontrib><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><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>
fulltext fulltext
identifier ISSN: 2590-0188
ispartof Immuno-oncology technology, 2024-03, Vol.21, p.100690, Article 100690
issn 2590-0188
2590-0188
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_c1691d05fa1843ee8916eef333910c7f
source Elsevier ScienceDirect Journals; PubMed Central
subjects clear-cell renal cell carcinoma
digital spatial profiling
Original
whole transcriptome
title Distinct spatial landscapes in clear-cell renal cell carcinoma as revealed by whole transcriptome analysis
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T20%3A30%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Distinct%20spatial%20landscapes%20in%20clear-cell%20renal%20cell%20carcinoma%20as%20revealed%20by%20whole%20transcriptome%20analysis&rft.jtitle=Immuno-oncology%20technology&rft.au=L%C3%B3pez,%20J.I.&rft.date=2024-03-01&rft.volume=21&rft.spage=100690&rft.pages=100690-&rft.artnum=100690&rft.issn=2590-0188&rft.eissn=2590-0188&rft_id=info:doi/10.1016/j.iotech.2023.100690&rft_dat=%3Cproquest_doaj_%3E2920574417%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3940-ca33ea08023f4ef2545fb3c28c4244afbbc677ba9f7c95e2912bd14ef23548f33%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2920574417&rft_id=info:pmid/38292905&rfr_iscdi=true