<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13(1)</volume><submitter>Lozzi I</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Intrahepatic cholangiocarcinoma (ICC) is a disease with poor prognosis and limited therapeutic options. We investigated the tumor immune microenvironment (TIME) to identify predictors of disease outcome and to explore targets for therapeutic modulation.&lt;h4>Methods&lt;/h4>Liver tissue samples were collected during 2008-2019 from patients (&lt;i>n&lt;/i> = 139) diagnosed with ICC who underwent curative intent surgery without neoadjuvant chemotherapy. Samples from the discovery cohort (&lt;i>n&lt;/i> = 86) were immunohistochemically analyzed on tissue microarrays (TMAs) for the expression of CD68, CD3, CD4, CD8, Foxp3, PD-L1, STAT1, and p-STAT1 in tumor core and stroma areas. Results were digitally analyzed using QuPath software and correlated with clinicopathological characteristics. For validation of TIME-related biomarkers, we performed multiplex imaging mass cytometry (IMC) in a validation cohort (&lt;i>n&lt;/i> = 53).&lt;h4>Results&lt;/h4>CD68+ cells were the predominant immune cell type in the TIME of ICC. CD4+&lt;sup>high&lt;/sup> T cell density correlated with better overall survival (OS). Prediction modeling together with validation cohort confirmed relevance of CD4+ cells, PD-L1 expression by immune cells in the stroma and N-stage on overall disease outcome. In turn, IMC analyses revealed that silent CD3+CD4+ clusters inversely impacted survival. Among annotated immune cell clusters, PD-L1 was most relevantly expressed by CD4+FoxP3+ cells. A subset of tumors with high density of immune cells ("hot" cluster) correlated with PD-L1 expression and could identify a group of candidates for immune checkpoint inhibition (ICI). Ultimately, higher levels of STAT1 expression were associated with higher lymphocyte infiltration and PD-L1 expression.&lt;h4>Conclusions&lt;/h4>These results highlight the importance of CD4+ T cells in immune response against ICC. Secondly, a subset of tumors with "hot" TIME represents potential candidates for ICI, while stimulation of STAT1 pathway could be a potential target to turn "cold" into "hot" TIME in ICC.</pubmed_abstract><journal>Oncoimmunology</journal><pagination>2406052</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11445892</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Clinical prognosticators and targets in the immune microenvironment of intrahepatic cholangiocarcinoma.</pubmed_title><pmcid>PMC11445892</pmcid><pubmed_authors>Reutzel-Selke A</pubmed_authors><pubmed_authors>Barone M</pubmed_authors><pubmed_authors>Feldbrugge L</pubmed_authors><pubmed_authors>Modest DP</pubmed_authors><pubmed_authors>Felsenstein M</pubmed_authors><pubmed_authors>Krenzien F</pubmed_authors><pubmed_authors>Schoning W</pubmed_authors><pubmed_authors>Johnson JC</pubmed_authors><pubmed_authors>Sinn BV</pubmed_authors><pubmed_authors>Pratschke J</pubmed_authors><pubmed_authors>Schirmeier A</pubmed_authors><pubmed_authors>Malinka T</pubmed_authors><pubmed_authors>Wang R</pubmed_authors><pubmed_authors>Hu M</pubmed_authors><pubmed_authors>Sauer IM</pubmed_authors><pubmed_authors>Gebert P</pubmed_authors><pubmed_authors>Lozzi I</pubmed_authors><pubmed_authors>Arnold A</pubmed_authors><pubmed_authors>Eschrich J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Clinical prognosticators and targets in the immune microenvironment of intrahepatic cholangiocarcinoma.</name><description>&lt;h4>Background&lt;/h4>Intrahepatic cholangiocarcinoma (ICC) is a disease with poor prognosis and limited therapeutic options. We investigated the tumor immune microenvironment (TIME) to identify predictors of disease outcome and to explore targets for therapeutic modulation.&lt;h4>Methods&lt;/h4>Liver tissue samples were collected during 2008-2019 from patients (&lt;i>n&lt;/i> = 139) diagnosed with ICC who underwent curative intent surgery without neoadjuvant chemotherapy. Samples from the discovery cohort (&lt;i>n&lt;/i> = 86) were immunohistochemically analyzed on tissue microarrays (TMAs) for the expression of CD68, CD3, CD4, CD8, Foxp3, PD-L1, STAT1, and p-STAT1 in tumor core and stroma areas. Results were digitally analyzed using QuPath software and correlated with clinicopathological characteristics. For validation of TIME-related biomarkers, we performed multiplex imaging mass cytometry (IMC) in a validation cohort (&lt;i>n&lt;/i> = 53).&lt;h4>Results&lt;/h4>CD68+ cells were the predominant immune cell type in the TIME of ICC. CD4+&lt;sup>high&lt;/sup> T cell density correlated with better overall survival (OS). Prediction modeling together with validation cohort confirmed relevance of CD4+ cells, PD-L1 expression by immune cells in the stroma and N-stage on overall disease outcome. In turn, IMC analyses revealed that silent CD3+CD4+ clusters inversely impacted survival. Among annotated immune cell clusters, PD-L1 was most relevantly expressed by CD4+FoxP3+ cells. A subset of tumors with high density of immune cells ("hot" cluster) correlated with PD-L1 expression and could identify a group of candidates for immune checkpoint inhibition (ICI). Ultimately, higher levels of STAT1 expression were associated with higher lymphocyte infiltration and PD-L1 expression.&lt;h4>Conclusions&lt;/h4>These results highlight the importance of CD4+ T cells in immune response against ICC. Secondly, a subset of tumors with "hot" TIME represents potential candidates for ICI, while stimulation of STAT1 pathway could be a potential target to turn "cold" into "hot" TIME in ICC.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024</publication><modification>2025-04-04T01:59:37.092Z</modification><creation>2025-04-04T01:59:37.092Z</creation></dates><accession>S-EPMC11445892</accession><cross_references><pubmed>39359389</pubmed><doi>10.1080/2162402X.2024.2406052</doi></cross_references></HashMap>