Evidence map›Paper›PMID 39993810›Full record

ArticleCancer genomics & proteomics

Characterization of the Genomic Landscape in HPV-positive Cervical and Head and Neck Squamous Cell Carcinomas by Whole Genome Next Generation Sequencing.

Jianlan Ren, Nian Ma, Tyler Seckar, Sheynaz Bassa, Nicola Zetola, Surbhi Grover, Zhi Wei, Erle Robertson

Abstract read
In one paragraph

Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jianlan RenDepartment of Computer Science, New Jersey Institute of Technology, Newark, NJ, U.S.A.
Nian MaDepartment of Otorhinolaryngology-Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, U.S.A.
Tyler SeckarDepartment of Cancer Biology, George Washington School of Medicine, George Washington University, Washington, DC, U.S.A.
Sheynaz BassaDepartment of Radiation Oncology, Steve Biko Academic Hospital, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Nicola ZetolaDivision of Pulmonary Medicine, Department of Medicine, Augusta College of Medicine, Augusta, GA, U.S.A.
Surbhi GroverDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, U.S.A.
Zhi WeiDepartment of Computer Science, New Jersey Institute of Technology, Newark, NJ, U.S.A.
Erle RobertsonDepartment of Otorhinolaryngology-Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, U.S.A.; erle@pennmedicine.upenn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimIn this study, we provide a comprehensive characterization of HPV-positive primary cervical cancers (CC) and HPV-positive head and neck squamous cell carcinomas (HNSCC) through whole genome next-generation sequencing. Human papillomavirus (HPV) infection, recognized as a definitive human carcinogen, is increasingly acknowledged for its role in development of human cancers. HPV-driven cervical cancers are among the leading causes of cancer-related deaths worldwide, while HPV-driven head and neck cancers exhibit distinct biological and clinical characteristics. Recent data has provided convincing evidence that HPV-related cervical cancer, like HPV head and neck cancer also predict better outcomes, with viral integration patterns further predicting disease related outcomes. MATERIALS AND

methodsWe designed an experimental study that encompasses four pairs of HPV-positive patient samples with controls, utilizing state-of-the-art Next Generation Sequencing (NGS) technology including whole genome sequencing, transcriptome sequencing and virus integration.

resultsMultiple mutated genes, including TTN, COL6A3, and FLNA, were identified shared between CC and HNSCC. Additionally, we observed a notable proportion of pathways affected by oncogenic alterations, particularly in the RTK-RAS and NOTCH pathways, in both CC and HNSCC. Furthermore, we discovered a shared down-regulation of the Hedgehog signaling pathway based on transcriptome expression analysis in KEGG. We also identified RUNX2 and TFPI as sites of virus integration, and upstream as well as downstream pathway modulators, and represent potential targets for therapeutic interventions.

conclusionOverall, this study showed a thorough comparison between CC and HNSCC from multiple aspects, including gene variations, oncogenic pathways, KEGG enrichment and virus integration sites. However, further studies, which involve larger patient cohorts should be undertaken to further support these findings.

Indexed as

Head and Neck NeoplasmsPapillomavirus InfectionsSquamous Cell Carcinoma of Head and NeckUterine Cervical NeoplasmsFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansMiddle AgedPapillomaviridaeWhole Genome Sequencingcervical cancer (CC)head and neck squamous cell carcinoma (HNSCC)HPV-positive cancersnext-generation sequencing (NGS)viral integrationwhole genome sequencing

Identifiers

PMID39993810
PMCPMC11880920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.