Evidence map›Paper›PMID 40400005›Full record

ArticleInfectious agents and cancer2025

Analysis of divergent gene expression between HPV + and HPV- head and neck squamous cell carcinoma patients.

Kasturika Shankar, Sarah E Walker

Abstract read
In one paragraph

Article in Infectious agents and cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
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

2 authors.

Kasturika ShankarDepartment of Biological Sciences, The State University of New York at Buffalo, Buffalo, NY, USA. kasturik@buffalo.edu.
Sarah E WalkerDepartment of Biological Sciences, The State University of New York at Buffalo, Buffalo, NY, USA. walker47@buffalo.edu.

Funding

Molecular mechanisms of eukaryotic translational controlR01GM139977 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Sarah Elizabeth Walker · 2022 to 2026
$1.8M
NIGMS NIH HHS R01 GM139977NIGMS NIH HHS R01GM139977
6 · The paper itself

Abstract

Human Papillomavirus (HPV) is a non-enveloped virus with a circular double-stranded DNA genome. It is one of the most common sexually transmitted infections, with high-risk types such as HPV-16 and HPV-18 linked to anogenital and head and neck squamous cell carcinomas (HNSCC). HNSCC includes cancers of the oral cavity, pharynx, larynx, and related regions, caused by carcinogens or persistent viral infections. HPV-positive (HPV+) HNSCC cases are more prevalent in Western countries and exhibit better prognosis and treatment response compared to HPV-negative (HPV-) cases. These differences suggest distinct fundamental differences between each subtype. This study analyzed RNA-seq data from the PanCancer Atlas 2018 dataset to investigate molecular distinctions between HPV + and HPV- HNSCC. Using dimensionality reduction techniques such as Principal Component Analysis (PCA) and Uniform Manifold Approximation and Projection (UMAP), a clear clustering of HPV + cases was observed, suggesting a unique gene expression profile. HPV + tumors exhibited upregulation of genes involved in nucleic acid processing and downregulation of genes associated with apoptosis and epidermis development. These findings underscore the biological differences between HPV + and HPV- HNSCC, offering insights into HPV-driven oncogenesis. Understanding these distinctions may improve patient stratification and inform targeted therapeutic strategies for HNSCC.

Indexed as

Cancer biologyGene expressionHead and neck squamous cell carcinoma (HNSCC)HPV-induced cancerHuman Papillomavirus (HPV)

Identifiers

PMID40400005
PMCPMC12096591

What OpenQuestion holds

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Registered trials

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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.