{"title":"Transcription Factor Fingerprint Provides Clues for Brain Tumor Cell of Origin.","authors":"Brent A Orr","doi":"10.1158/0008-5472.CAN-24-3599","DOIUrl":null,"url":null,"abstract":"<p><p>Mouse models that faithfully represent the biology of human brain tumors are critical tools for unraveling the underlying tumor biology and screening for potential precision therapies. This is especially true of rare tumor types, many of which have correspondingly few xenograft or cell lines available. Although our understanding of the specific biological pathways driving cancer has improved significantly, identifying the appropriate progenitor populations to drive oncogenic processes represents a significant barrier to efficient mouse model production. In this issue of Cancer Research, Jessa and colleagues developed an innovative transcription factor fingerprinting method to map the cellular origin of central nervous system neuroblastoma, FOXR2-activated to medial ganglionic eminence-derived interneurons, which could then be efficiently targeted in the developing mouse brain using in utero electroporation. This approach serves as a blueprint for investigating other rare pediatric brain tumors, potentially accelerating progress toward the development of mouse models and identification of effective therapies. See related article by Jessa et al., p. 231.</p>","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"85 2","pages":"195-196"},"PeriodicalIF":12.5000,"publicationDate":"2025-01-15","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-24-3599","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
Mouse models that faithfully represent the biology of human brain tumors are critical tools for unraveling the underlying tumor biology and screening for potential precision therapies. This is especially true of rare tumor types, many of which have correspondingly few xenograft or cell lines available. Although our understanding of the specific biological pathways driving cancer has improved significantly, identifying the appropriate progenitor populations to drive oncogenic processes represents a significant barrier to efficient mouse model production. In this issue of Cancer Research, Jessa and colleagues developed an innovative transcription factor fingerprinting method to map the cellular origin of central nervous system neuroblastoma, FOXR2-activated to medial ganglionic eminence-derived interneurons, which could then be efficiently targeted in the developing mouse brain using in utero electroporation. This approach serves as a blueprint for investigating other rare pediatric brain tumors, potentially accelerating progress toward the development of mouse models and identification of effective therapies. See related article by Jessa et al., p. 231.
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.