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转移性实体癌中的病毒格局。

The viral landscape in metastatic solid cancers.

作者信息

Mjelle Robin, Castro Ícaro, Aass Kristin Roseth

机构信息

Department of Cancer and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.

Department of Pathology, St.Olavs Hospital, Trondheim, Norway.

出版信息

Heliyon. 2025 Feb 8;11(4):e42548. doi: 10.1016/j.heliyon.2025.e42548. eCollection 2025 Feb 28.

DOI:10.1016/j.heliyon.2025.e42548
PMID:40028540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11870251/
Abstract

Here, we analyze the viral landscape in blood and tissue from 4918 metastatic cancer patients across 38 solid cancer types from the Hartwig Medical Foundation (HMF) cohort, the largest pan-cancer study on metastatic cancer. Using a coverage-based filtering approach, we detected 25 unique viral genera across 32 different cancer types, with a total of 747 unique virus-positive tissue samples. We detected 336 virus-positive blood samples across 29 cancer types, dominated by and . The tissue samples were dominated by and . was significantly enriched in genital, anal, and colorectal cancers and was associated with host mutational signatures and transcriptional programs related to immunity and DNA repair. Host genes with integration tended to be more highly expressed and samples with HPV integration had higher somatic mutation rates and higher number of extrachromosomal DNA elements. was also detected in a significant proportion of blood samples from cervix and anal cancers, suggesting a potential blood-based biomarker.

摘要

在此,我们分析了来自哈特维希医学基金会(HMF)队列中4918名转移性癌症患者的血液和组织中的病毒情况,该队列涵盖38种实体癌类型,是关于转移性癌症的最大规模泛癌研究。使用基于覆盖度的过滤方法,我们在32种不同癌症类型中检测到25个独特的病毒属,共有747个独特的病毒阳性组织样本。我们在29种癌症类型中检测到336个病毒阳性血液样本,主要由[此处原文缺失相关病毒信息]和[此处原文缺失相关病毒信息]主导。组织样本主要由[此处原文缺失相关病毒信息]和[此处原文缺失相关病毒信息]主导。[此处原文缺失相关病毒信息]在生殖器癌、肛门癌和结直肠癌中显著富集,并且与宿主与免疫和DNA修复相关的突变特征及转录程序有关。具有[此处原文缺失相关病毒信息]整合的宿主基因往往表达更高,具有人乳头瘤病毒(HPV)整合的样本具有更高的体细胞突变率和更多的染色体外DNA元件数量。在宫颈癌和肛门癌的相当一部分血液样本中也检测到了[此处原文缺失相关病毒信息],这表明它可能是一种基于血液的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/6120ff98b9b0/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/0c72baea9073/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/03a33495965b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/b7e62845db54/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/aedd055ac941/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/6120ff98b9b0/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/0c72baea9073/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/03a33495965b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/b7e62845db54/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/aedd055ac941/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db33/11870251/6120ff98b9b0/gr5.jpg

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EBV T-cell immunotherapy generated by peptide selection has enhanced effector functionality compared to LCL stimulation.
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