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Lymphocyte density determined by computational pathology validated as a predictor of response to neoadjuvant chemotherapy in breast cancer: secondary analysis of the ARTemis trial

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Ali, HR 
Dariush, A 
Thomas, J 
Provenzano, E 
Dunn, J 

Abstract

Background: Patients and methods: Results: Conclusions:

Description

Keywords

Tumour-infiltrating lymphocytes, breast cancer, computational pathology, neoadjuvant chemotherapy, predictive

Journal Title

Annals of Oncology

Conference Name

Journal ISSN

0923-7534
1569-8041

Volume Title

Publisher

Oxford University Press
Sponsorship
Cancer Research UK (60098573)
Cancer Research Uk (None)
Cancer Research Uk (None)
Cancer Research UK (CB4140)
Cancer Research UK (C14303/A17197)
Department of Health (via National Institute for Health Research (NIHR)) (NF-SI-0515-10090)
Cancer Research UK (unknown)
Cancer Research UK (unknown)
Department of Health (via National Institute for Health Research (NIHR)) (unknown)
European Commission (260791)
Cambridge University Hospitals NHS Foundation Trust (CUH) (RG51913)
Cancer Research Uk (None)
European Commission FP7 Network of Excellence (NoE) (260791)
Cambridge University Hospitals NHS Foundation Trust (CUH) (unknown)
Cancer Research Uk (None)
Academy of Medical Sciences (unknown)
Medical Research Council (MR/M008975/1)
Academy of Medical Sciences (ALI 01/08/14)
Pathological Society of Great Britain & Ireland (CDF 2012/01)
European Commission FP7 Collaborative projects (CP) (258967)
Cancer Research UK (C507/A16278)
European Commission (258967)
Cancer Research UK (20544)
Medical Research Council (MR/P012442/1)
European Commission and European Federation of Pharmaceutical Industries and Associations (EFPIA) FP7 Innovative Medicines Initiative (IMI) (115749)
European Commission (242006)
European Research Council (694620)
Cancer Research UK (A24622)
Cancer Research Uk (None)
Cancer Research UK (16942)
Cancer Research Uk (None)