Evidence map›Paper›PMID 25821127›Full record

SynthesisOncotarget2015

Head and neck cancer subtypes with biological and clinical relevance: Meta-analysis of gene-expression data.

Loris De Cecco, Monica Nicolau, Marco Giannoccaro, Maria Grazia Daidone, Paolo Bossi, Laura Locati, Lisa Licitra, Silvana Canevari

Registry-linked trialAbstract readMeta-AnalysisValidation Study
In one paragraph

Synthesis in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03294122 (Microbiota, Inflammatory Environment, Clinical and Radiomic Features as Predictors of Normal Tissue Response in Radiotherapy for Prostate and Head-and-neck Cancer), which is not on this map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 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.

NCT03294122 unknown statusnot on this mapstarted 2017, after this paper: background citation

Microbiota, Inflammatory Environment, Clinical and Radiomic Features as Predictors of Normal Tissue Response in Radiotherapy for Prostate and Head-and-neck Cancer

TypeobservationalSponsorFondazione IRCCS Istituto Nazionale dei Tumori, MilanoRan2017 to 2019Enrolled400ConditionsProstate Cancer, Head and Neck CancerArmsExternal beam radiotherapy for prostate cancer, External beam radiotherapy for head and neck cancer
3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Simplicity within biological complexity.Bioinformatics advances · 2025
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  18. Molecular pathways modulated by phytochemicals in head and neck cancer.Journal of cell communication and signaling · 2023
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  20. Article

7 more citing papers are in PubMed but not listed here.

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.

Loris De CeccoFunctional Genomics and Bioinformatics, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Monica NicolauDepartment of Mathematics, Stanford University, Stanford, CA, USA.
Marco GiannoccaroFunctional Genomics and Bioinformatics, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Maria Grazia DaidoneDepartment of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Paolo BossiHead and Neck Medical Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Laura LocatiHead and Neck Medical Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Lisa LicitraHead and Neck Medical Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Silvana CanevariFunctional Genomics and Bioinformatics, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck squamous cell carcinoma (HNSCC) is a disease with heterogeneous clinical behavior and response to therapies. Despite the introduction of multimodality treatment, 40-50% of patients with advanced disease recur. Therefore, there is an urgent need to improve the classification beyond the current parameters in clinical use to better stratify patients and the therapeutic approaches. Following a meta-analysis approach we built a large training set to whom we applied a Disease-Specific Genomic Analysis (DSGA) to identify the disease component embedded into the tumor data. Eleven independent microarray datasets were used as validation sets. Six different HNSCC subtypes that summarize the aberrant alterations occurring during tumor progression were identified. Based on their main biological characteristics and de-regulated signaling pathways, the subtypes were designed as immunoreactive, inflammatory, human papilloma virus (HPV)-like, classical, hypoxia associated, and mesenchymal. Our findings highlighted a more aggressive behavior for mesenchymal and hypoxia-associated subtypes. The Genomics Drug Sensitivity Project was used to identify potential associations with drug sensitivity and significant differences were observed among the six subtypes. To conclude, we report a robust molecularly defined subtype classification in HNSCC that can improve patient selection and pave the way to the development of appropriate therapeutic strategies.

Indexed as

Gene Expression ProfilingCarcinoma, Squamous CellCell HypoxiaDatasets as TopicDisease ProgressionDrug Resistance, NeoplasmEpithelial-Mesenchymal TransitionGenes, MHC Class IIGenetic HeterogeneityHead and Neck NeoplasmsHumansInflammationMicroarray AnalysisNeoplasm ProteinsPapillomaviridaePapillomavirus InfectionsNeoplasm Proteinsgene expressionHNSCCmeta-analysismicroarraytumor subtypes

Identifiers

PMID25821127
PMCPMC4496244

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Registered trials

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.