<HashMap><database>biostudies-literature</database><scores/><additional><submitter>He JZ</submitter><funding>the Guangdong Esophageal Cancer Institute Science and Technology Program</funding><funding>the National Cohort of Esophageal Cancer of China</funding><funding>the Innovative Team Grant of Guangdong Department of Education</funding><funding>the Excellent Young Researchers Program of the 5th Affiliated Hospital of SYSU</funding><funding>the National Science Foundation of China</funding><pagination>136</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10230698</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>42(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Increasing evidence indicates that the tumor microenvironment (TME) is a crucial determinant of cancer progression. However, the clinical and pathobiological significance of stromal signatures in the TME, as a complex dynamic entity, is still unclear in esophageal squamous cell carcinoma (ESCC).&lt;h4>Methods&lt;/h4>Herein, we used single-cell transcriptome sequencing data, imaging mass cytometry (IMC) and multiplex immunofluorescence staining to characterize the stromal signatures in ESCC and evaluate their prognostic values in this aggressive disease. An automated quantitative pathology imaging system determined the locations of the lamina propria, stroma, and invasive front. Subsequently, IMC spatial analyses further uncovered spatial interaction and distribution. Additiona</pubmed_abstract><journal>Journal of experimental &amp; clinical cancer research : CR</journal><pubmed_title>Spatial analysis of stromal signatures identifies invasive front carcinoma-associated fibroblasts as suppressors of anti-tumor immune response in esophageal cancer.</pubmed_title><pmcid>PMC10230698</pmcid><funding_grant_id>2016YFC09014000</funding_grant_id><funding_grant_id>81772532</funding_grant_id><funding_grant_id>M201714</funding_grant_id><funding_grant_id>WYYXQN-2021016</funding_grant_id><funding_grant_id>2021KCXTD005</funding_grant_id><funding_grant_id>82102689</funding_grant_id><pubmed_authors>Pang XX</pubmed_authors><pubmed_authors>Zeng FM</pubmed_authors><pubmed_authors>Zhang HF</pubmed_authors><pubmed_authors>Shen WJ</pubmed_authors><pubmed_authors>Wu JY</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Yu SX</pubmed_authors><pubmed_authors>Wang SH</pubmed_authors><pubmed_authors>Li EM</pubmed_authors><pubmed_authors>He JZ</pubmed_authors><pubmed_authors>Huang QF</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Xu XE</pubmed_authors><pubmed_authors>Li ZY</pubmed_authors><pubmed_authors>Xu LY</pubmed_authors></additional><is_claimable>false</is_claimable><name>Spatial analysis of stromal signatures identifies invasive front carcinoma-associated fibroblasts as suppressors of anti-tumor immune response in esophageal cancer.</name><description>&lt;h4>Background&lt;/h4>Increasing evidence indicates that the tumor microenvironment (TME) is a crucial determinant of cancer progression. However, the clinical and pathobiological significance of stromal signatures in the TME, as a complex dynamic entity, is still unclear in esophageal squamous cell carcinoma (ESCC).&lt;h4>Methods&lt;/h4>Herein, we used single-cell transcriptome sequencing data, imaging mass cytometry (IMC) and multiplex immunofluorescence staining to characterize the stromal signatures in ESCC and evaluate their prognostic values in this aggressive disease. An automated quantitative pathology imaging system determined the locations of the lamina propria, stroma, and invasive front. Subsequently, IMC spatial analyses further uncovered spatial interaction and distribution. Additiona</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 May</publication><modification>2025-04-19T23:05:35.255Z</modification><creation>2025-04-19T23:05:35.255Z</creation></dates><accession>S-EPMC10230698</accession><cross_references><pubmed>37254126</pubmed><doi>10.1186/s13046-023-02697-y</doi></cross_references></HashMap>