<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang X</submitter><funding>Yunnan Fundamental Research Projects</funding><funding>Yunnan Provincial Department of Science and Technology-Kunming Medical University Joint Special Project on Applied Basic Research</funding><funding>Yunnan Provincial Key Laboratory of Clinical Virology Open Project</funding><pagination>417</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12628552</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>25(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Human papillomavirus (HPV) infection is associated with an increased risk of cutaneous squamous cell carcinoma (CSCC). A comprehensive understanding of the cellular heterogeneity of HPV-positive and -negative CSCC is crucial for improving diagnosis and preventing tumor progression.&lt;h4>Methods&lt;/h4>We conducted an integrated analysis of single-cell RNA and spatial transcriptomic data from different skin tissue sources to map the cellular landscape of the tumor microenvironment (TME) in both HPV positive and negative CSCC. Results were validated through multiplex immunohistochemistry (mIHC) and in vitro experiments.&lt;h4>Results&lt;/h4>We identified 10 major cell types in CSCC and normal skin samples, including epithelial cells, myeloid cells, T cells, fibroblasts, endothelial c</pubmed_abstract><journal>Cancer cell international</journal><pubmed_title>Multi-omics analysis unveils the role of cancer-associated fibroblasts in cutaneous squamous cell carcinoma.</pubmed_title><pmcid>PMC12628552</pmcid><funding_grant_id>202401AT070051</funding_grant_id><funding_grant_id>202201AY070001-251</funding_grant_id><funding_grant_id>202205AG070061-BD-02</funding_grant_id><pubmed_authors>Xu L</pubmed_authors><pubmed_authors>Guan Z</pubmed_authors><pubmed_authors>Li C</pubmed_authors><pubmed_authors>Li T</pubmed_authors><pubmed_authors>Chen J</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>XinYang</pubmed_authors><pubmed_authors>Jin M</pubmed_authors><pubmed_authors>Tao S</pubmed_authors><pubmed_authors>Wang X</pubmed_authors><pubmed_authors>Jin Y</pubmed_authors><pubmed_authors>Ao C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multi-omics analysis unveils the role of cancer-associated fibroblasts in cutaneous squamous cell carcinoma.</name><description>&lt;h4>Background&lt;/h4>Human papillomavirus (HPV) infection is associated with an increased risk of cutaneous squamous cell carcinoma (CSCC). A comprehensive understanding of the cellular heterogeneity of HPV-positive and -negative CSCC is crucial for improving diagnosis and preventing tumor progression.&lt;h4>Methods&lt;/h4>We conducted an integrated analysis of single-cell RNA and spatial transcriptomic data from different skin tissue sources to map the cellular landscape of the tumor microenvironment (TME) in both HPV positive and negative CSCC. Results were validated through multiplex immunohistochemistry (mIHC) and in vitro experiments.&lt;h4>Results&lt;/h4>We identified 10 major cell types in CSCC and normal skin samples, including epithelial cells, myeloid cells, T cells, fibroblasts, endothelial c</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-06-06T15:00:55.272Z</modification><creation>2026-06-01T03:10:29.388Z</creation></dates><accession>S-EPMC12628552</accession><cross_references><pubmed>41257862</pubmed><doi>10.1186/s12935-025-04061-w</doi></cross_references></HashMap>