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Transcription factor ATF3 links host adaptive response to breast cancer metastasis

The Journal of clinical investigation, 2013-07, Vol.123 (7), p.2893-2906

2013

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The Magnitude of Androgen Receptor Positivity in Breast Cancer Is Critical for Reliable Prediction of Disease Outcome

Clinical cancer research, 2018-05, Vol.24 (10), p.2328-2341

2018

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Prediction of Local Recurrence, Distant Metastases, and Death After Breast-Conserving Therapy in Early-Stage Invasive Breast Cancer Using a Five-Biomarker Panel

Journal of clinical oncology, 2009-10, Vol.27 (28), p.4701-4708

2009

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Cytoplasmic Localization of β-Catenin is a Marker of Poor Outcome in Breast Cancer Patients

Cancer epidemiology, biomarkers & prevention, 2010-01, Vol.19 (1), p.301-309

2010

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Proximate composition and anti-nutritional factors of fava-bean (Vicia faba), green-pea and yellow-pea (Pisum sativum) flour

Journal of food composition and analysis, 2019-09, Vol.82, p.103233, Article 103233

2019

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Dough properties and baking characteristics of white bread, as affected by addition of raw, germinated and toasted pea flour

Innovative food science & emerging technologies, 2019-08, Vol.56, p.102189, Article 102189

2019

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Primary Renal Neuroblastoma in Adults

Urology, 2013-07, Vol.82 (1), p.11-13

2013

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The next generation birth cohort: Childhood outcomes of offspring of parents with early onset type 2 diabetes

Canadian journal of diabetes, 2011, Vol.35 (2), p.187-187

2011

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Cyclin D1b is aberrantly regulated in response to therapeutic challenge and promotes resistance to estrogen antagonists

Cancer research (Chicago, Ill.), 2008-07, Vol.68 (14), p.5628-5638

2008

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Proteomic Analysis of Urine to Identify Breast Cancer Biomarker Candidates Using a Label-Free LC-MS/MS Approach

PloS one, 2015-11, Vol.10 (11), p.e0141876-e0141876

2015

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Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning

Scientific reports, 2023-08, Vol.13 (1), p.13604-13604, Article 13604

2023

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Tumour Stroma Ratio Assessment Using Digital Image Analysis Predicts Survival in Triple Negative and Luminal Breast Cancer

Cancers, 2020-12, Vol.12 (12), p.3749

2020

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Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images

Scientific reports, 2022-08, Vol.12 (1), p.14527-14527, Article 14527

2022

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PI3K pathway activation in breast cancer is associated with the basal‐like phenotype and cancer‐specific mortality

International journal of cancer, 2010-03, Vol.126 (5), p.1121-1131

2010

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DNA methylation of oestrogen-regulated enhancers defines endocrine sensitivity in breast cancer

Nature communications, 2015-07, Vol.6 (1), p.7758-7758, Article 7758

2015

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hist2RNA : An Efficient Deep Learning Architecture to Predict Gene Expression from Breast Cancer Histopathology Images

Cancers, 2023-04, Vol.15 (9), p.2569

2023

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SP142 PD-L1 Scoring Shows High Interobserver and Intraobserver Agreement in Triple-negative Breast Carcinoma But Overall Low Percentage Agreement With Other PD-L1 Clones SP263 and 22C3

The American journal of surgical pathology, 2021-08, Vol.45 (8), p.1108-1117

2021

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Therapeutic targets in triple negative breast cancer

Journal of Clinical Pathology, 2013-06, Vol.66 (6), p.530-542

2013

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MASTL overexpression promotes chromosome instability and metastasis in breast cancer

Oncogene, 2018-08, Vol.37 (33), p.4518-4533

2018

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Recruitment of regulatory T cells is correlated with hypoxia-induced CXCR4 expression, and is associated with poor prognosis in basal-like breast cancers

Breast cancer research : BCR, 2011-04, Vol.13 (2), p.R47-R47, Article R47

2011

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MCL-1 inhibition provides a new way to suppress breast cancer metastasis and increase sensitivity to dasatinib

Breast cancer research : BCR, 2016-12, Vol.18 (1), p.125-125, Article 125

2016

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Hedgehog Overexpression Is Associated with Stromal Interactions and Predicts for Poor Outcome in Breast Cancer

Cancer research (Chicago, Ill.), 2011-06, Vol.71 (11), p.4002-4014

2011

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β-Catenin Signaling Is a Critical Event in ErbB2-Mediated Mammary Tumor Progression

Cancer research (Chicago, Ill.), 2013-07, Vol.73 (14), p.4474-4487

2013

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Andy’s Algorithms: new automated digital image analysis pipelines for FIJI

Scientific reports, 2017-11, Vol.7 (1), p.15717-11, Article 15717

2017

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Elevated levels of tumour apolipoprotein D independently predict poor outcome in breast cancer patients

Histopathology, 2020-06, Vol.76 (7), p.976-987

2020

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Transcription factor ATF3 links host adaptive response to breast cancer metastasis

The Magnitude of Androgen Receptor Positivity in Breast Cancer Is Critical for Reliable Prediction of Disease Outcome

Prediction of Local Recurrence, Distant Metastases, and Death After Breast-Conserving Therapy in Early-Stage Invasive Breast Cancer Using a Five-Biomarker Panel

Cytoplasmic Localization of β-Catenin is a Marker of Poor Outcome in Breast Cancer Patients

Proximate composition and anti-nutritional factors of fava-bean (Vicia faba), green-pea and yellow-pea (Pisum sativum) flour

Dough properties and baking characteristics of white bread, as affected by addition of raw, germinated and toasted pea flour

Primary Renal Neuroblastoma in Adults

The next generation birth cohort: Childhood outcomes of offspring of parents with early onset type 2 diabetes

Cyclin D1b is aberrantly regulated in response to therapeutic challenge and promotes resistance to estrogen antagonists

Proteomic Analysis of Urine to Identify Breast Cancer Biomarker Candidates Using a Label-Free LC-MS/MS Approach

Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning

Tumour Stroma Ratio Assessment Using Digital Image Analysis Predicts Survival in Triple Negative and Luminal Breast Cancer

Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images

PI3K pathway activation in breast cancer is associated with the basal‐like phenotype and cancer‐specific mortality

DNA methylation of oestrogen-regulated enhancers defines endocrine sensitivity in breast cancer

hist2RNA : An Efficient Deep Learning Architecture to Predict Gene Expression from Breast Cancer Histopathology Images

SP142 PD-L1 Scoring Shows High Interobserver and Intraobserver Agreement in Triple-negative Breast Carcinoma But Overall Low Percentage Agreement With Other PD-L1 Clones SP263 and 22C3

Therapeutic targets in triple negative breast cancer

MASTL overexpression promotes chromosome instability and metastasis in breast cancer

Recruitment of regulatory T cells is correlated with hypoxia-induced CXCR4 expression, and is associated with poor prognosis in basal-like breast cancers

MCL-1 inhibition provides a new way to suppress breast cancer metastasis and increase sensitivity to dasatinib

Hedgehog Overexpression Is Associated with Stromal Interactions and Predicts for Poor Outcome in Breast Cancer

β-Catenin Signaling Is a Critical Event in ErbB2-Mediated Mammary Tumor Progression

Andy’s Algorithms: new automated digital image analysis pipelines for FIJI

Elevated levels of tumour apolipoprotein D independently predict poor outcome in breast cancer patients

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