Additional file 7: of Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer

Ali, H.; Dariush, Aliakbar; Provenzano, Elena; Bardwell, Helen; Abraham, Jean; Iddawela, Mahesh; Vallier, Anne-Laure; Hiller, Louise; Dunn, Janet.; Bowden, Sarah; Hickish, Tamas; McAdam, Karen; Houston, Stephen; Irwin, Mike; Pharoah, Paul; Brenton, James; Walton, Nicholas; Earl, Helena; Caldas, Carlos

doi:10.6084/m9.figshare.c.3640664_D12.v1

13058_2016_682_MOESM7_ESM.pdf (177.02 kB)

Additional file 7: of Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer

journal contribution

posted on 2016-02-16, 05:00 authored by H. Ali, Aliakbar Dariush, Elena Provenzano, Helen Bardwell, Jean Abraham, Mahesh Iddawela, Anne-Laure Vallier, Louise Hiller, Janet. Dunn, Sarah Bowden, Tamas Hickish, Karen McAdam, Stephen Houston, Mike Irwin, Paul Pharoah, James Brenton, Nicholas Walton, Helena Earl, Carlos Caldas

Distribution of post-treatment sample image metrics by tumor molecular subtype. Horizontal gray lines represent median values. Results of Kruskal-Wallis tests are depicted within graphs; red text denotes p values <0.05. (PDF 177Â kb)

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Cancer Research UK (GB)

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Breast cancer Computational pathology Neoadjuvant Lymphocytes Treatment resistance Immunology

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Additional file 7: of Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer

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Cancer Research UK (GB)

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