Evidence map›Paper›PMID 41269209›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2026

HPV Integration in Head and Neck Cancer: Downstream Splicing Events and Expression Ratios Linked with Poor Outcomes.

Shiting Li, Shaomiao Xia, Maria Lawas, Aishani Kulshreshtha, Bailey F Garb, Sarah E Soppe, Chamila Perera, Chen Li, Min Liu, Yvonne Xinyi Lim and 5 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Shiting LiDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0000-0002-9074-8957
Shaomiao XiaDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0009-0004-0267-1673
Maria LawasDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0009-0002-3480-9484
Aishani KulshreshthaDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0009-0004-9487-3159
Bailey F GarbDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0000-0002-9230-054X
Sarah E SoppeDepartment of Epidemiology, UNC Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0009-0000-2465-9377
Chamila PereraDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-7115-618X
Chen LiDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0000-0002-1790-6664
Min LiuDepartment of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-2768-0301
Yvonne Xinyi LimDepartment of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-8070-2779
Tingting QinDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0000-0003-3810-7578
Joshua D WelchDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0000-0002-5869-2391
Nisha J D'SilvaDepartment of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0001-7030-3187
Laura S RozekOncology Department, School of Medicine, Georgetown University, Washington, District of Columbia.ORCID 0000-0001-6731-7000
Maureen A SartorDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.ORCID 0000-0001-6155-5702

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Eric R. Fearon · 1988 to 2026
$178.2M
Strategies to Overcome Immune Resistance in Head and Neck CancersP01CA240239 · NCI · YALE UNIVERSITY · PI SARTOR, MAUREEN AGNES · 2019 to 2023
$8.4M
Improving Survival in Oral Cancer by Disruption of Tumor ProgressionR35DE027551 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI D'SILVA, NISHA J · 2017 to 2024
$8.1M
Proteogenomics of Cancer Training ProgramT32CA140044 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, ARVIND, SARTOR, MAUREEN AGNES · 2010 to 2024
$3.9M
Downstream effects of HPV integration on survival/metastasis in oropharyngeal cancerR01CA250214 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI D'SILVA, NISHA J, ROZEK, LAURA · 2020 to 2024
$3.1M
National Institutes of Health (NIH) P01-CA240239National Institutes of Health (NIH) P30-CA046592National Institutes of Health (NIH) R01-CA250214National Institutes of Health (NIH) R35-DE027551National Institutes of Health (NIH) T32-CA140044NCI NIH HHS P01 CA240239NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA250214NCI NIH HHS T32 CA140044NIDCR NIH HHS R35 DE027551
6 · The paper itself

Abstract

purposeHuman papillomavirus (HPV) integration (HPVint) is associated with carcinogenesis and tumor progression in HPV-associated cancers, including head and neck squamous cell carcinomas (HNSCC). Although its impact on human DNA has been well characterized, its relationship with clinical outcomes remains unconfirmed. EXPERIMENTAL

designWe analyzed HPVint events from 261 HPV-associated HNSCC bulk and single-cell RNA sequencing (scRNA-seq) samples from five cohorts, including 62 from a new University of Michigan cohort, and DNA HPVint events from 102 HPV(+) HNSCC participants in two of the cohorts. We investigated the consequences of HPVint both with respect to human and HPV gene expression and clinical outcomes (recurrence and overall survival).

resultsBy leveraging this large meta-cohort of HNSCC, we first reveal an oncogenic gene network based on the recurrent HPVint locations in the human genome and gene expression alterations, highlighting key recurrent and overexpressed genes, including NR4A2, CD274, and CCER1, and genes from the CAMK and KLF families. We then stratify HPVint-positive participants by risk using HPV RNA features, specifically spliced HPV-human fusion transcripts (E1* integration) and HPV gene expression ratios, showing that subsets of participants have worse clinical outcomes based on these two candidate biomarkers.

conclusionsBy focusing on RNA instead of DNA, we expand our understanding of the carcinogenic mechanisms of HPVint, in part 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. Newly identified genes with recurrent integration events may serve as candidates for targeted therapy.

Indexed as

Head and Neck NeoplasmsPapillomaviridaePapillomavirus InfectionsRNA SplicingSquamous Cell Carcinoma of Head and NeckVirus IntegrationAgedBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisBiomarkers, Tumor

Identifiers

PMID41269209
PMCPMC12790889

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.