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Tumour Stroma Ratio Assessment Using Digital Image Analysis Predicts Survival in Triple Negative and Luminal Breast Cancer.
Millar, Ewan Ka; Browne, Lois H; Beretov, Julia; Lee, Kirsty; Lynch, Jodi; Swarbrick, Alexander; Graham, Peter H.
Afiliación
  • Millar EK; Department of Anatomical Pathology, NSW Health Pathology, St George Hospital, Kogarah, NSW 2217, Australia.
  • Browne LH; St George & Sutherland Clinical School, UNSW Sydney, Kensington, NSW 2052, Australia.
  • Beretov J; Faculty of Medicine & Health Sciences, Sydney Western University Campbelltown, Campbelltown, NSW 2560, Australia.
  • Lee K; Cancer Care Centre, St George Hospital, Kogarah, NSW 2217, Australia.
  • Lynch J; Department of Anatomical Pathology, NSW Health Pathology, St George Hospital, Kogarah, NSW 2217, Australia.
  • Swarbrick A; St George & Sutherland Clinical School, UNSW Sydney, Kensington, NSW 2052, Australia.
  • Graham PH; Cancer Care Centre, St George Hospital, Kogarah, NSW 2217, Australia.
Cancers (Basel) ; 12(12)2020 Dec 13.
Article en En | MEDLINE | ID: mdl-33322174
We aimed to determine the clinical significance of tumour stroma ratio (TSR) in luminal and triple negative breast cancer (TNBC) using digital image analysis and machine learning algorithms. Automated image analysis using QuPath software was applied to a cohort of 647 breast cancer patients (403 luminal and 244 TNBC) using digital H&E images of tissue microarrays (TMAs). Kaplan-Meier and Cox proportional hazards were used to ascertain relationships with overall survival (OS) and breast cancer specific survival (BCSS). For TNBC, low TSR (high stroma) was associated with poor prognosis for both OS (HR 1.9, CI 1.1-3.3, p = 0.021) and BCSS (HR 2.6, HR 1.3-5.4, p = 0.007) in multivariate models, independent of age, size, grade, sTILs, lymph nodal status and chemotherapy. However, for luminal tumours, low TSR (high stroma) was associated with a favourable prognosis in MVA for OS (HR 0.6, CI 0.4-0.8, p = 0.001) but not for BCSS. TSR is a prognostic factor of most significance in TNBC, but also in luminal breast cancer, and can be reliably assessed using quantitative image analysis of TMAs. Further investigation into the contribution of tumour subtype stromal phenotype may further refine these findings.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Suiza