<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>106</volume><submitter>Pasquali S</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Anthracycline-based neoadjuvant chemotherapy (NAC) may modify tumour immune infiltrate. This study characterized immune infiltrate spatial distribution after NAC in primary high-risk soft tissue sarcomas (STS) and investigate association with prognosis.&lt;h4>Methods&lt;/h4>The ISG-STS 1001 trial randomized STS patients to anthracycline plus ifosfamide (AI) or a histology-tailored (HT) NAC. Four areas of tumour specimens were sampled: the area showing the highest lymphocyte infiltrate (HI) at H&amp;E; the area with lack of post-treatment changes (highest grade, HG); the area with post-treatment changes (lowest grade, LG); and the tumour edge (TE). CD3, CD8, PD-1, CD20, FOXP3, and CD163 were analyzed at immunohistochemistry and digital pathology. A machine learning method was used </pubmed_abstract><journal>EBioMedicine</journal><pagination>105220</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11287012</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Spatial distribution of tumour immune infiltrate predicts outcomes of patients with high-risk soft tissue sarcomas after neoadjuvant chemotherapy.</pubmed_title><pmcid>PMC11287012</pmcid><pubmed_authors>Quagliuolo V</pubmed_authors><pubmed_authors>Dei Tos AP</pubmed_authors><pubmed_authors>Stacchiotti S</pubmed_authors><pubmed_authors>Brich S</pubmed_authors><pubmed_authors>Palmerini E</pubmed_authors><pubmed_authors>Beveridge RD</pubmed_authors><pubmed_authors>Vergani B</pubmed_authors><pubmed_authors>Lopez-Pousa A</pubmed_authors><pubmed_authors>Vallacchi V</pubmed_authors><pubmed_authors>Martin-Broto J</pubmed_authors><pubmed_authors>Coindre JM</pubmed_authors><pubmed_authors>Casiraghi E</pubmed_authors><pubmed_authors>Renne SL</pubmed_authors><pubmed_authors>Casali PG</pubmed_authors><pubmed_authors>Lalli L</pubmed_authors><pubmed_authors>Rivoltini L</pubmed_authors><pubmed_authors>Bague S</pubmed_authors><pubmed_authors>Romagosa C</pubmed_authors><pubmed_authors>Grignani G</pubmed_authors><pubmed_authors>Barisella M</pubmed_authors><pubmed_authors>Pasquali S</pubmed_authors><pubmed_authors>Sbaraglia M</pubmed_authors><pubmed_authors>Gronchi A</pubmed_authors><pubmed_authors>Bergamaschi L</pubmed_authors><pubmed_authors>Blay JY</pubmed_authors><pubmed_authors>Collini P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Spatial distribution of tumour immune infiltrate predicts outcomes of patients with high-risk soft tissue sarcomas after neoadjuvant chemotherapy.</name><description>&lt;h4>Background&lt;/h4>Anthracycline-based neoadjuvant chemotherapy (NAC) may modify tumour immune infiltrate. This study characterized immune infiltrate spatial distribution after NAC in primary high-risk soft tissue sarcomas (STS) and investigate association with prognosis.&lt;h4>Methods&lt;/h4>The ISG-STS 1001 trial randomized STS patients to anthracycline plus ifosfamide (AI) or a histology-tailored (HT) NAC. Four areas of tumour specimens were sampled: the area showing the highest lymphocyte infiltrate (HI) at H&amp;E; the area with lack of post-treatment changes (highest grade, HG); the area with post-treatment changes (lowest grade, LG); and the tumour edge (TE). CD3, CD8, PD-1, CD20, FOXP3, and CD163 were analyzed at immunohistochemistry and digital pathology. A machine learning method was used </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Aug</publication><modification>2026-06-02T09:19:09.569Z</modification><creation>2026-04-16T03:13:14.373Z</creation></dates><accession>S-EPMC11287012</accession><cross_references><pubmed>39018755</pubmed><doi>10.1016/j.ebiom.2024.105220</doi></cross_references></HashMap>