Evidence map›Paper›PMID 42727420›Full record

ArticleESMO open2026

Multiregion profiling of genomic and transcriptional heterogeneity in head and neck squamous-cell carcinoma.

V Heurtier, G Marret, C Lamy, A Hamza, M H Diallo, L Ahmanache, S Vacher, A Schnitzler, L Courtois, E Jeannot and 21 more

Abstract read
In one paragraph

Article in ESMO open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

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4 · The record

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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

31 authors.

V HeurtierDepartment of Genetics, Institut Curie, PSL Research University, Paris, France; Computational Oncology, PSL Research University, Mines Paris Tech, INSERM U1331, Paris, France.
G MarretDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris-Saclay University, Paris, France.
C LamyDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris-Saclay University, Paris, France.
A HamzaDepartment of Genetics, Institut Curie, PSL Research University, Paris, France.
M H DialloDepartment of Biometry, Institut Curie, Saint-Cloud, France.
L AhmanacheDepartment of Genetics, Institut Curie, PSL Research University, Paris, France.
S VacherDepartment of Genetics, Institut Curie, PSL Research University, Paris, France.
A SchnitzlerDepartment of Genetics, Institut Curie, PSL Research University, Paris, France.
L CourtoisDepartment of Genetics, Institut Curie, PSL Research University, Paris, France.
E JeannotDepartment of Genetics, Institut Curie, PSL Research University, Paris, France.
J KlijanienkoDepartment of Pathology, Institut Curie, Paris and Saint-Cloud, France.
Z El BeainoDepartment of Pathology, Institut Curie, Paris and Saint-Cloud, France.
J GalUniversity Côte d'Azur, Centre Antoine Lacassagne, Epidemiology and Biostatistics Department, Nice, France.
M LedruDepartment of Pathology, Institut Curie, Paris and Saint-Cloud, France.
C MartinatDepartment of Pathology, Institut Curie, Paris and Saint-Cloud, France.
J MartinDepartment of Oncologic Surgery, Institut Curie, PSL Research University, Paris, France; Cordeliers Research Center, Sorbonne Université, INSERM, Université Paris Cité, Inflammation, Complement, and Cancer Team, Paris, France.
O ChoussyDepartment of Oncologic Surgery, Institut Curie, PSL Research University, Paris, France.
A Dubray-VautrinComputational Oncology, PSL Research University, Mines Paris Tech, INSERM U1331, Paris, France; Department of Oncologic Surgery, Institut Curie, PSL Research University, Paris, France.
M LesnikDepartment of Oncologic Surgery, Institut Curie, PSL Research University, Paris, France.
W GhanemDepartment of Oncologic Surgery, Institut Curie, PSL Research University, Paris, France.
R TaouachiDepartment of Oncologic Surgery, Institut Curie, PSL Research University, Paris, France.
N BadoisDepartment of Oncologic Surgery, Institut Curie, PSL Research University, Paris, France.
C NhyRadiology Department, Institut Curie Hospital, Paris, France.
E BorcomanDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris-Saclay University, Paris, France.
J FlaviusDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris-Saclay University, Paris, France.
A KadiDepartment of Biometry, Institut Curie, Saint-Cloud, France.
F BergerDepartment of Biometry, Institut Curie, Saint-Cloud, France.
N ServantComputational Oncology, PSL Research University, Mines Paris Tech, INSERM U1331, Paris, France.
M KamalDepartment of Drug Development and Innovation (D3i), Institut Curie, Paris-Saclay University, Paris, France; IHU PRISM National PRecISion Medicine Center in Oncology, Gustave Roussy, Villejuif, France.
I BiècheDepartment of Genetics, Institut Curie, PSL Research University, Paris, France; Faculty of Pharmaceutical and Biological Sciences, Paris Cité University, INSERM U1016, Paris, France.
C Le TourneauComputational Oncology, PSL Research University, Mines Paris Tech, INSERM U1331, Paris, France; Department of Drug Development and Innovation (D3i), Institut Curie, Paris-Saclay University, Paris, France. Electronic address: christophe.letourneau@curie.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntratumoral heterogeneity (ITH) is thought to contribute to tumour evolution and treatment resistance but its biological and clinical significance in localised head and neck squamous-cell carcinoma (HNSCC) remains incompletely understood. PATIENTS AND

methodsIn the prospective SCANDARE study, we analysed 87 patients with resectable HNSCC treated with upfront surgery. Two to five spatially distinct tumour regions per patient underwent pathological evaluation, targeted DNA sequencing, and bulk RNA sequencing. Genomic ITH (gITH) was quantified using clonal deconvolution and Shannon diversity indices, whereas transcriptional heterogeneity (tITH) was assessed using the intratumour expression distance metric. Associations between ITH, molecular features, tumour microenvironment composition, and clinical outcomes were explored using multivariable statistical models.

resultsPathology-based spatial heterogeneity showed limited prognostic value. gITH was common, with 37% of tumours displaying regionally heterogeneous pathogenic variants, including spatially actionable alterations in 10% of patients. In an initial multivariable Cox model, higher gITH was associated with shorter disease-free survival. However, after Ridge-penalised modelling and bootstrap internal validation, the effect size was attenuated [corrected hazard ratio 1.42, 95% confidence interval (CI) 0.91-2.75]. The overall model retained moderate discriminative performance (optimism-corrected C-index 0.69, 95% CI 0.59-0.79). gITH was associated with tumour cellularity, reduced estimated endothelial cell infiltration, and alterations in KMT2C and PIK3CA. tITH differed according to human papillomavirus (HPV) status, with lower tITH in HPV-positive tumours, and was associated with distinct biological pathways and genomic alterations. Genomic and tITH were not correlated.

conclusionsThis prospective multiregion study provides a comprehensive characterisation of genomic and tITH in localised HNSCC. Our findings highlight substantial spatial molecular diversity within primary tumours and suggest potential associations between heterogeneity, tumour biology, and clinical outcome that warrant validation in independent cohorts.

Indexed as

Genetic HeterogeneityHead and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckAgedFemaleGenomicsHumansMalePrognosisProspective StudiesTumor Microenvironmenthead and neck squamous-cell carcinoma (HNSCC)intratumoral heterogeneitymolecular oncology

Identifiers

PMID42727420
PMCPMC13583575

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