{"title":"Distinct states of Nuclear Speckles emerge as new predictors of cancer prognosis","authors":"Lisa Martina, Michał Małszycki, Tuğçe Aktaş","doi":"10.1158/0008-5472.can-25-0479","DOIUrl":null,"url":null,"abstract":"The complex environment of the mammalian nucleus is compartmentalized into functional units by membraneless organelles. Recent advancements have elevated nuclear speckles, one of the most prominent nuclear condensates, to a central role in gene expression regulation. In their recent paper, Alexander and colleagues provide insights into the involvement of nuclear speckles in cancer progression. They identify two signatures of speckle transcriptome that stratify human cancers and, in the case of the clear cell renal cell carcinoma (ccRC), strongly correlate with drug response and ultimately with patient’s survival. These signatures correspond to different morphological states of nuclear speckles and influence speckle-regulated gene expression. A deeper look into transcriptional regulation allowed the authors to identify an amino acid sequence which enables the central transcription factor responsible of ccRC oncogenesis to bring its chromatin target into nuclear speckle proximity. The findings provide new insights into the intricacies of nuclear speckle biology and offer new avenues for understanding cancer progression and developing targeted therapies.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"55 1","pages":""},"PeriodicalIF":12.5000,"publicationDate":"2025-02-11","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-25-0479","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
The complex environment of the mammalian nucleus is compartmentalized into functional units by membraneless organelles. Recent advancements have elevated nuclear speckles, one of the most prominent nuclear condensates, to a central role in gene expression regulation. In their recent paper, Alexander and colleagues provide insights into the involvement of nuclear speckles in cancer progression. They identify two signatures of speckle transcriptome that stratify human cancers and, in the case of the clear cell renal cell carcinoma (ccRC), strongly correlate with drug response and ultimately with patient’s survival. These signatures correspond to different morphological states of nuclear speckles and influence speckle-regulated gene expression. A deeper look into transcriptional regulation allowed the authors to identify an amino acid sequence which enables the central transcription factor responsible of ccRC oncogenesis to bring its chromatin target into nuclear speckle proximity. The findings provide new insights into the intricacies of nuclear speckle biology and offer new avenues for understanding cancer progression and developing targeted therapies.
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.