{"title":"The Pan-Tumor Vasculature under the Transcriptomic Magnifying Glass.","authors":"Krish Skandha Gopalan, Gabriele Bergers","doi":"10.1158/0008-5472.CAN-24-3219","DOIUrl":null,"url":null,"abstract":"<p><p>In the first pan-cancer analysis of the tumor vasculature, Pan and colleagues profile nearly 200,000 endothelial cells (EC) and mural cells, identifying novel subclusters and cell states using consensus trajectory inference. They identify differentiation trajectories in vascular and lymphatic ECs and subtype the pericyte (PC) population. During sprouting angiogenesis, venous cells dedifferentiate and transition to capillary and, finally, arterial ECs. Capillary ECs transition via \"three angiogenic stages\" (SI-SIII), during which APLN+ TipS1 cells were identified as potential modulators of tumor-induced neovascularization and antiangiogenic therapy response. In lymphatic ECs, differentiation was inversely correlated between the lymphangiogenic (T1) and antigen-presenting (T2) trajectories, with T2 associated with a better prognosis. Although several PC clusters were identified, BASP1+ matrix-associated PCs were associated with APLN+ TipS1 cells and had a worse prognosis. These findings present transcriptional validation of previous experimental findings and serve as a resource to examine the tumor vascular microenvironment in detail.</p>","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":" ","pages":"3502-3504"},"PeriodicalIF":12.5000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/0008-5472.CAN-24-3219","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In the first pan-cancer analysis of the tumor vasculature, Pan and colleagues profile nearly 200,000 endothelial cells (EC) and mural cells, identifying novel subclusters and cell states using consensus trajectory inference. They identify differentiation trajectories in vascular and lymphatic ECs and subtype the pericyte (PC) population. During sprouting angiogenesis, venous cells dedifferentiate and transition to capillary and, finally, arterial ECs. Capillary ECs transition via "three angiogenic stages" (SI-SIII), during which APLN+ TipS1 cells were identified as potential modulators of tumor-induced neovascularization and antiangiogenic therapy response. In lymphatic ECs, differentiation was inversely correlated between the lymphangiogenic (T1) and antigen-presenting (T2) trajectories, with T2 associated with a better prognosis. Although several PC clusters were identified, BASP1+ matrix-associated PCs were associated with APLN+ TipS1 cells and had a worse prognosis. These findings present transcriptional validation of previous experimental findings and serve as a resource to examine the tumor vascular microenvironment in detail.
期刊介绍:
Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research.
With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445.
Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.