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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/13/16/3928
id doaj-6a814e99633a49f5b5dc04c2aa031a00
record_format Article
spelling 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
work_keys_str_mv AT pierreverrelle cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT didiermeseure cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT frederiqueberger cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT audreyforest cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT renaudleclere cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT andrenicolas cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT emiliefortas cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT xaviersastregarau cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT maricklae cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT sabahboudjemaa cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT rodriguembagui cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT valentincalugaru cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT dalilalabiod cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT leannedekoning cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT genevievealmouzni cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
AT jeanpierrequivy cenpasubnuclearlocalizationpatternasmarkerpredictingcurabilitybychemoradiationtherapyforlocallyadvancedheadandneckcancerpatients
_version_ 1721194598695436288