S'abonner

SPAG5 as a prognostic biomarker and chemotherapy sensitivity predictor in breast cancer: a retrospective, integrated genomic, transcriptomic, and protein analysis - 30/06/16

Doi : 10.1016/S1470-2045(16)00174-1 
Tarek M A Abdel-Fatah, PhD a, , Devika Agarwal, MSc b, Dong-Xu Liu, PhD c, d, Roslin Russell, PhD e, Oscar M Rueda, PhD e, Karen Liu, MSc c, Bing Xu, PhD c, Paul M Moseley, BSc a, Andrew R Green, PhD f, Alan G Pockley, ProfPhD b, Robert C Rees, ProfPhD b, Carlos Caldas, ProfFMedSci e, Ian O Ellis, ProfFRCPath f, Graham R Ball, ProfPhD b, , Stephen Y T Chan, ProfDM a, ,
a Clinical Oncology Department, Nottingham University Hospitals NHS Trust, Nottingham, UK 
b John van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, UK 
c Liggins Institute, University of Auckland, Auckland, New Zealand 
d The Institute of Genetics and Cytology, Northeast Normal University, Changchun, China 
e Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, UK 
f Division of Cancer and Stem Cells, School of Medicine, University of Nottingham and Nottingham University Hospitals NHS Trust, Nottingham, UK 

* Correspondence to: Prof Stephen Y T Chan, Clinical Oncology Department, Nottingham University Hospitals NHS Trust, Nottingham NG5 1PB, UK Clinical Oncology Department Nottingham University Hospitals NHS Trust Nottingham NG5 1PB UK

Summary

Background

Proliferation markers and profiles have been recommended for guiding the choice of systemic treatments for breast cancer. However, the best molecular marker or test to use has not yet been identified. We did this study to identify factors that drive proliferation and its associated features in breast cancer and assess their association with clinical outcomes and response to chemotherapy.

Methods

We applied an artificial neural network-based integrative data mining approach to data from three cohorts of patients with breast cancer (the Nottingham discovery cohort (n=171), Uppsala cohort (n=249), and Molecular Taxonomy of Breast Cancer International Consortium [METABRIC] cohort; n=1980). We then identified the genes with the most effect on other genes in the resulting interactome map. Sperm-associated antigen 5 (SPAG5) featured prominently in our interactome map of proliferation and we chose to take it forward in our analysis on the basis of its fundamental role in the function and dynamic regulation of mitotic spindles, mitotic progression, and chromosome segregation fidelity. We investigated the clinicopathological relevance of SPAG5 gene copy number aberrations, mRNA transcript expression, and protein expression and analysed the associations of SPAG5 copy number aberrations, transcript expression, and protein expression with breast cancer-specific survival, disease-free survival, distant relapse-free survival, pathological complete response, and residual cancer burden in the Nottingham discovery cohort, Uppsala cohort, METABRIC cohort, a pooled untreated lymph node-negative cohort (n=684), a multicentre combined cohort (n=5439), the Nottingham historical early stage breast cancer cohort (Nottingham-HES; n=1650), Nottingham early stage oestrogen receptor-negative breast cancer adjuvant chemotherapy cohort (Nottingham-oestrogen receptor-negative-ACT; n=697), the Nottingham anthracycline neoadjuvant chemotherapy cohort (Nottingham-NeoACT; n=200), the MD Anderson taxane plus anthracycline-based neoadjuvant chemotherapy cohort (MD Anderson-NeoACT; n=508), and the multicentre phase 2 neoadjuvant clinical trial cohort (phase 2 NeoACT; NCT00455533; n=253).

Findings

In the METABRIC cohort, we detected SPAG5 gene gain or amplification at the Ch17q11.2 locus in 206 (10%) of 1980 patients overall, 46 (19%) of 237 patients with a PAM50-HER2 phenotype, and 87 (18%) of 488 patients with PAM50-LumB phenotype. Copy number aberration leading to SPAG5 gain or amplification and high SPAG5 transcript and SPAG5 protein concentrations were associated with shorter overall breast cancer-specific survival (METABRIC cohort [copy number aberration]: hazard ratio [HR] 1·50, 95% CI 1·18–1·92, p=0·00010; METABRIC cohort [transcript]: 1·68, 1·40–2·01, p<0·0001; and Nottingham-HES-breast cancer cohort [protein]: 1·68, 1·32–2·12, p<0·0001). In multivariable analysis, high SPAG5 transcript and SPAG5 protein expression were associated with reduced breast cancer-specific survival at 10 years compared with lower concentrations (Uppsala: HR 1·62, 95% CI 1·03–2·53, p=0·036; METABRIC: 1·27, 1·02–1·58, p=0·034; untreated lymph node-negative cohort: 2·34, 1·24–4·42, p=0·0090; and Nottingham-HES: 1·73, 1·23–2·46, p=0·0020). In patients with oestrogen receptor-negative breast cancer with high SPAG5 protein expression, anthracycline-based adjuvant chemotherapy increased breast cancer-specific survival overall compared with that for patients who did not receive chemotherapy (Nottingham-oestrogen receptor-negative-ACT cohort: HR 0·37, 95% CI 0·20–0·60, p=0·0010). Multivariable analysis showed high SPAG5 transcript concentrations to be independently associated with longer distant relapse-free survival after receiving taxane plus anthracycline neoadjuvant chemotherapy (MD Anderson-NeoACT: HR 0·68, 95% CI 0·48–0·97, p=0·031). In multivariable analysis, both high SPAG5 transcript and high SPAG5 protein concentrations were independent predictors for a higher proportion of patients achieving a pathological complete response after combination cytotoxic chemotherapy (MD Anderson-NeoACT: OR 1·71, 95% CI, 1·07–2·74, p=0·024; Nottingham-ACT: 8·75, 2·42–31·62, p=0·0010).

Interpretation

SPAG5 is a novel amplified gene on Ch17q11.2 in breast cancer. The transcript and protein products of SPAG5 are independent prognostic and predictive biomarkers that might have clinical utility as biomarkers for combination cytotoxic chemotherapy sensitivity, especially in oestrogen receptor-negative breast cancer.

Funding

Nottingham Hospitals Charity and the John and Lucille van Geest Foundation.

Le texte complet de cet article est disponible en PDF.

Plan


© 2016  Elsevier Ltd. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 17 - N° 7

P. 1004-1018 - juillet 2016 Retour au numéro
Article précédent Article précédent
  • Quality of life in patients with advanced renal cell carcinoma given nivolumab versus everolimus in CheckMate 025: a randomised, open-label, phase 3 trial
  • David Cella, Viktor Grünwald, Paul Nathan, Justin Doan, Homa Dastani, Fiona Taylor, Bryan Bennett, Michael DeRosa, Scott Berry, Kristine Broglio, Elmer Berghorn, Robert J Motzer
| Article suivant Article suivant
  • Prophylactic cranial irradiation for patients with lung cancer
  • Cécile Le Péchoux, Alexander Sun, Ben J Slotman, Dirk De Ruysscher, José Belderbos, Elizabeth M Gore

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.