Evidence map›Paper›PMID 34439087›Full record

ArticleCancers2021

CENP-A Subnuclear Localization Pattern as Marker Predicting Curability by Chemoradiation Therapy for Locally Advanced Head and Neck Cancer Patients.

Pierre Verrelle, Didier Meseure, Frédérique Berger, Audrey Forest, Renaud Leclère, André Nicolas, Emilie Fortas, Xavier Sastre-Garau, Marick Lae, Sabah Boudjemaa and 6 more

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Review
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  5. Review
  6. Article
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  11. Article
  12. Article
  13. CENP-A Regulation and Cancer.Frontiers in cell and developmental biology · 2022
    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

16 authors.

Pierre VerrelleInstitut Curie, PSL Research University, CNRS, Sorbonne Université, Nuclear Dynamics Unit, Equipe Labellisée Ligue Contre le Cancer, 26 rue d'Ulm, 75005 Paris, France.
Didier MeseurePlatform of Experimental Pathology PATHEX, Institut Curie, 75005 Paris, France.
Frédérique BergerInstitut Curie, PSL Research University, Biometry Unit, 75005 Paris, France.ORCID 0000-0002-3251-4060
Audrey ForestInstitut Curie, PSL Research University, CNRS, Sorbonne Université, Nuclear Dynamics Unit, Equipe Labellisée Ligue Contre le Cancer, 26 rue d'Ulm, 75005 Paris, France.
Renaud LeclèrePlatform of Experimental Pathology PATHEX, Institut Curie, 75005 Paris, France.
André NicolasPlatform of Experimental Pathology PATHEX, Institut Curie, 75005 Paris, France.
Emilie FortasPlatform of Experimental Pathology PATHEX, Institut Curie, 75005 Paris, France.ORCID 0000-0002-0321-9492
Xavier Sastre-GarauDepartment of Pathology, Intercommunal Hospital Center of Creteil, 94000 Créteil, France.
Marick LaeDepartment of Pathology, Centre Henri Becquerel, INSERM U1245, UNIROUEN, University of Normandie, 76031 Rouen, France.ORCID 0000-0002-7448-9537
Sabah BoudjemaaDepartment of Pathology, Hôpital Armand Trousseau, 75012 Paris, France.ORCID 0000-0003-2569-5323
Rodrigue MbaguiRadiation Oncology Department, Institut Curie, 75005 Paris, France.ORCID 0000-0001-8367-7057
Valentin CalugaruRadiation Oncology Department, Institut Curie, 75005 Paris, France.ORCID 0000-0002-7156-9750
Dalila LabiodTranslational Research Department, Experimental Radiotherapy Platform, Institut Curie, PSL Research University, University Paris Saclay, 91400 Orsay, France.
Leanne De KoningDepartment of Translational Research, Institut Curie, PSL Research University, 75005 Paris, France.ORCID 0000-0002-8072-3633
Geneviève AlmouzniInstitut Curie, PSL Research University, CNRS, Sorbonne Université, Nuclear Dynamics Unit, Equipe Labellisée Ligue Contre le Cancer, 26 rue d'Ulm, 75005 Paris, France.ORCID 0000-0001-5570-0723
Jean-Pierre QuivyInstitut Curie, PSL Research University, CNRS, Sorbonne Université, Nuclear Dynamics Unit, Equipe Labellisée Ligue Contre le Cancer, 26 rue d'Ulm, 75005 Paris, France.ORCID 0000-0001-6557-7204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective biomarkers predictive of the response to treatments are key for precision medicine. This study identifies the staining pattern of the centromeric histone 3 variant, CENP-A, as a predictive biomarker of locoregional disease curability by chemoradiation therapy. We compared by imaging the subnuclear distribution of CENP-A in normal and tumoral tissues, and in a retrospective study in biopsies of 62 locally advanced head and neck squamous cell carcinoma (HNSCC) patients treated by chemoradiation therapy. We looked for predictive factors of locoregional disease control and patient's survival, including CENP-A patterns, Ki67, HPV status and anisokaryosis. In different normal tissues, we reproducibly found a CENP-A subnuclear pattern characterized by CENP-A clusters both localized at the nuclear periphery and regularly spaced. In corresponding tumors, both features are lost. In locally advanced HNSCC, a specific CENP-A pattern identified in pretreatment biopsies predicts definitive locoregional disease control after chemoradiation treatment in 96% (24/25) of patients (OR = 17.6 CI 95% [2.6; 362.8],

Indexed as

biomarkerchemoradiation therapychromatin and nuclear organizationhead and neck cancerhistological imaging

Identifiers

PMID34439087
PMCPMC8391827

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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.