Evidence map›Paper›PMID 30655616›Full record

SynthesisBritish journal of cancer2019

HPV, tumour metabolism and novel target identification in head and neck squamous cell carcinoma.

Jason C Fleming, Jeongmin Woo, Karwan Moutasim, Massimiliano Mellone, Steven J Frampton, Abbie Mead, Waseem Ahmed, Oliver Wood, Hollie Robinson, Matthew Ward and 6 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in British journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% of its field
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Review
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  7. Article
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  11. Review
  12. Article
  13. TMEM16A as a potential treatment target for head and neck cancer.Journal of experimental & clinical cancer research : CR · 2022
    Review
  14. Review
  15. Article
  16. Article
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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

16 authors at 2 institutions in 1 country.

Jason C FlemingCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK. JCFleming@doctors.net.uk.
Jeongmin WooClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Karwan MoutasimCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Massimiliano MelloneCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Steven J FramptonCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Abbie MeadCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Waseem AhmedSt. George's University Hospitals NHS Foundation Trust, Tooting, London, UK.
Oliver WoodCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Hollie RobinsonCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Matthew WardCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Christopher H WoelkClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Christian H OttensmeierCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Emma KingCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Dae KimSt. George's University Hospitals NHS Foundation Trust, Tooting, London, UK.
Jeremy P BlaydesCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0001-8525-0209
Gareth J ThomasCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
University of Southampton · GBSt George’s University Hospitals NHS Foundation Trust · GB

Funding

Cancer Research UK 15951Medical Research Council MR/L017172/1Medical Research Council MR/P024351/1
6 · The paper itself

Abstract

backgroundMetabolic changes in tumour cells are used in clinical imaging and may provide potential therapeutic targets. Human papillomavirus (HPV) status is important in classifying head and neck cancers (HNSCC), identifying a distinct clinical phenotype; metabolic differences between these HNSCC subtypes remain poorly understood.

methodsWe used RNA sequencing to classify the metabolic expression profiles of HPV

resultsSpecific metabolic profiles were associated with HPV status, not limited to carbohydrate metabolism. There was dominance of all energy pathways in HPV-negative disease, with elevated expression of genes associated with glycolysis and oxidative phosphorylation. In vitro analysis confirmed comparative increased rates of oxidative phosphorylation and glycolysis in HPV-negative cell lines. PET SUV(max) scores however were unable to reliably differentiate between HPV-positive and HPV-negative tumours. MCT1 expression was significantly increased in HPV-negative tumours, and inhibition suppressed tumour cell invasion, colony formation and promoted radiosensitivity.

conclusionHPV-positive and negative HNSCC have different metabolic profiles which may have potential therapeutic applications.

Indexed as

Cell Line, TumorGene Expression Regulation, NeoplasticGlycolysisHumansMonocarboxylate Transport Protein 1Monocarboxylic Acid TransportersNeoplasm InvasivenessOxidative PhosphorylationPapillomaviridaePapillomavirus InfectionsPositron-Emission TomographyRadiation ToleranceSequence Analysis, RNASquamous Cell Carcinoma of Head and NeckSymportersMonocarboxylate Transport Protein 1Monocarboxylic Acid TransportersSymporters

Identifiers

PMID30655616
PMCPMC6353968
OpenAlexW2911055881

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.