Li Shiting, Xia Shaomiao, Lawas Maria, Kulshreshtha Aishani, Garb Bailey F, Perera Aa Chamila, Li Chen, Qin Tingting, Welch Joshua D, D'Silva Nisha J, Rozek Laura S, Sartor Maureen A
Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
bioRxiv. 2025 Jan 20:2025.01.17.633627. doi: 10.1101/2025.01.17.633627.
HPV integration (HPVint) is associated with carcinogenesis and tumor progression in HPV-associated cancers, including head and neck squamous cell carcinomas (HNSCC). While its impact on human DNA has been well characterized, its relationship with clinical outcomes remains unconfirmed. Here we investigate the consequences of HPVint both with respect to human and HPV characteristics by analyzing 261 HPV-associated HNSCC bulk and single-cell RNA-seq samples from five cohorts, and DNA HPVint events from 102 HPV+ participants in two of the cohorts. By leveraging this large meta-cohort, we first reveal an oncogenic network based on the recurrent HPV integration locations in HNSCC. We then classify HPVint-positive (HPVint(+)) participants by HPV RNA features, specifically based on spliced HPV-human fusion transcripts and ratios of HPV gene transcripts, showing that subsets of participants have worse clinical outcomes. Our analyses, focused mainly on RNA instead of DNA, expand our understanding of the carcinogenic mechanisms of HPVint, partially addressing the conflicting findings of whether HPVint is associated with aggressive phenotypes and worse clinical consequences, and provide potential biomarkers to advance precision oncology in HPV-associated HNSCC.
人乳头瘤病毒整合(HPVint)与包括头颈鳞状细胞癌(HNSCC)在内的HPV相关癌症的致癌作用和肿瘤进展相关。虽然其对人类DNA的影响已得到充分表征,但其与临床结果的关系仍未得到证实。在此,我们通过分析来自五个队列的261例HPV相关HNSCC批量和单细胞RNA测序样本,以及来自其中两个队列的102名HPV阳性参与者的DNA HPVint事件,研究了HPVint在人类和HPV特征方面的后果。通过利用这个大型元队列,我们首先基于HNSCC中反复出现的HPV整合位置揭示了一个致癌网络。然后,我们根据HPV RNA特征,特别是基于剪接的HPV-人类融合转录本和HPV基因转录本的比例,对HPVint阳性(HPVint(+))参与者进行分类,结果表明部分参与者的临床结果较差。我们的分析主要集中在RNA而非DNA上,扩展了我们对HPVint致癌机制的理解,部分解决了关于HPVint是否与侵袭性表型和更差临床后果相关的相互矛盾的发现,并提供了潜在的生物标志物,以推进HPV相关HNSCC的精准肿瘤学发展。