CENP-A Subnuclear Localization Pattern as Marker Predicting Curability by Chemoradiation Therapy for Locally Advanced Head and Neck Cancer Patients
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 su...
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doaj-6a814e99633a49f5b5dc04c2aa031a002021-08-26T13:35:11ZengMDPI AGCancers2072-66942021-08-01133928392810.3390/cancers13163928CENP-A Subnuclear Localization Pattern as Marker Predicting Curability by Chemoradiation Therapy for Locally Advanced Head and Neck Cancer PatientsPierre Verrelle0Didier Meseure1Frédérique Berger2Audrey Forest3Renaud Leclère4André Nicolas5Emilie Fortas6Xavier Sastre-Garau7Marick Lae8Sabah Boudjemaa9Rodrigue Mbagui10Valentin Calugaru11Dalila Labiod12Leanne De Koning13Geneviève Almouzni14Jean-Pierre Quivy15Institut Curie, PSL Research University, CNRS, Sorbonne Université, Nuclear Dynamics Unit, Equipe Labellisée Ligue Contre le Cancer, 26 rue d’Ulm, 75005 Paris, FrancePlatform of Experimental Pathology PATHEX, Institut Curie, 75005 Paris, FranceInstitut Curie, PSL Research University, Biometry Unit, 75005 Paris, FranceInstitut Curie, PSL Research University, CNRS, Sorbonne Université, Nuclear Dynamics Unit, Equipe Labellisée Ligue Contre le Cancer, 26 rue d’Ulm, 75005 Paris, FrancePlatform of Experimental Pathology PATHEX, Institut Curie, 75005 Paris, FrancePlatform of Experimental Pathology PATHEX, Institut Curie, 75005 Paris, FrancePlatform of Experimental Pathology PATHEX, Institut Curie, 75005 Paris, FranceDepartment of Pathology, Intercommunal Hospital Center of Creteil, 94000 Créteil, FranceDepartment of Pathology, Centre Henri Becquerel, INSERM U1245, UNIROUEN, University of Normandie, 76031 Rouen, FranceDepartment of Pathology, Hôpital Armand Trousseau, 75012 Paris, FranceRadiation Oncology Department, Institut Curie, 75005 Paris, FranceRadiation Oncology Department, Institut Curie, 75005 Paris, FranceTranslational Research Department, Experimental Radiotherapy Platform, Institut Curie, PSL Research University, University Paris Saclay, 91400 Orsay, FranceDepartment of Translational Research, Institut Curie, PSL Research University, 75005 Paris, FranceInstitut Curie, PSL Research University, CNRS, Sorbonne Université, Nuclear Dynamics Unit, Equipe Labellisée Ligue Contre le Cancer, 26 rue d’Ulm, 75005 Paris, FranceInstitut Curie, PSL Research University, CNRS, Sorbonne Université, Nuclear Dynamics Unit, Equipe Labellisée Ligue Contre le Cancer, 26 rue d’Ulm, 75005 Paris, FranceEffective 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], <i>p</i> = 0.002), independently of anisokaryosis, Ki67 labeling or HPV status. The characteristics of the subnuclear pattern of CENP-A in cell nuclei revealed by immunohistochemistry could provide an easy to use a reliable marker of disease curability by chemoradiation therapy in locally advanced HNSCC patients.https://www.mdpi.com/2072-6694/13/16/3928biomarkerhead and neck cancerchemoradiation therapyhistological imagingchromatin and nuclear organization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pierre Verrelle Didier Meseure Frédérique Berger Audrey Forest Renaud Leclère André Nicolas Emilie Fortas Xavier Sastre-Garau Marick Lae Sabah Boudjemaa Rodrigue Mbagui Valentin Calugaru Dalila Labiod Leanne De Koning Geneviève Almouzni Jean-Pierre Quivy |
spellingShingle |
Pierre Verrelle Didier Meseure Frédérique Berger Audrey Forest Renaud Leclère André Nicolas Emilie Fortas Xavier Sastre-Garau Marick Lae Sabah Boudjemaa Rodrigue Mbagui Valentin Calugaru Dalila Labiod Leanne De Koning Geneviève Almouzni Jean-Pierre Quivy CENP-A Subnuclear Localization Pattern as Marker Predicting Curability by Chemoradiation Therapy for Locally Advanced Head and Neck Cancer Patients Cancers biomarker head and neck cancer chemoradiation therapy histological imaging chromatin and nuclear organization |
author_facet |
Pierre Verrelle Didier Meseure Frédérique Berger Audrey Forest Renaud Leclère André Nicolas Emilie Fortas Xavier Sastre-Garau Marick Lae Sabah Boudjemaa Rodrigue Mbagui Valentin Calugaru Dalila Labiod Leanne De Koning Geneviève Almouzni Jean-Pierre Quivy |
author_sort |
Pierre Verrelle |
title |
CENP-A Subnuclear Localization Pattern as Marker Predicting Curability by Chemoradiation Therapy for Locally Advanced Head and Neck Cancer Patients |
title_short |
CENP-A Subnuclear Localization Pattern as Marker Predicting Curability by Chemoradiation Therapy for Locally Advanced Head and Neck Cancer Patients |
title_full |
CENP-A Subnuclear Localization Pattern as Marker Predicting Curability by Chemoradiation Therapy for Locally Advanced Head and Neck Cancer Patients |
title_fullStr |
CENP-A Subnuclear Localization Pattern as Marker Predicting Curability by Chemoradiation Therapy for Locally Advanced Head and Neck Cancer Patients |
title_full_unstemmed |
CENP-A Subnuclear Localization Pattern as Marker Predicting Curability by Chemoradiation Therapy for Locally Advanced Head and Neck Cancer Patients |
title_sort |
cenp-a subnuclear localization pattern as marker predicting curability by chemoradiation therapy for locally advanced head and neck cancer patients |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2021-08-01 |
description |
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], <i>p</i> = 0.002), independently of anisokaryosis, Ki67 labeling or HPV status. The characteristics of the subnuclear pattern of CENP-A in cell nuclei revealed by immunohistochemistry could provide an easy to use a reliable marker of disease curability by chemoradiation therapy in locally advanced HNSCC patients. |
topic |
biomarker head and neck cancer chemoradiation therapy histological imaging chromatin and nuclear organization |
url |
https://www.mdpi.com/2072-6694/13/16/3928 |
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