A review of data mining using big data in health informatics

M Herland, TM Khoshgoftaar, R Wald - Journal of Big data, 2014 - Springer
The amount of data produced within Health Informatics has grown to be quite vast, and
analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained …

[HTML][HTML] Molecular and cellular heterogeneity in breast cancer: challenges for personalized medicine

AG Rivenbark, SM O'Connor, WB Coleman - The American journal of …, 2013 - Elsevier
Breast cancer is noted for disparate clinical behaviors and patient outcomes, despite
common histopathological features at diagnosis. Molecular pathogenesis studies suggest …

Effect of pembrolizumab plus neoadjuvant chemotherapy on pathologic complete response in women with early-stage breast cancer: an analysis of the ongoing …

R Nanda, MC Liu, C Yau, R Shatsky, L Pusztai… - JAMA …, 2020 - jamanetwork.com
Importance Approximately 25% of patients with early-stage breast cancer who receive (neo)
adjuvant chemotherapy experience a recurrence within 5 years. Improvements in therapy …

[HTML][HTML] Adaptive randomization of veliparib–carboplatin treatment in breast cancer

HS Rugo, OI Olopade, A DeMichele… - … England Journal of …, 2016 - Mass Medical Soc
Background The genetic and clinical heterogeneity of breast cancer makes the identification
of effective therapies challenging. We designed I-SPY 2, a phase 2, multicenter, adaptively …

[HTML][HTML] Adaptive randomization of neratinib in early breast cancer

JW Park, MC Liu, D Yee, C Yau… - … England Journal of …, 2016 - Mass Medical Soc
Background The heterogeneity of breast cancer makes identifying effective therapies
challenging. The I-SPY 2 trial, a multicenter, adaptive phase 2 trial of neoadjuvant therapy …

A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor–positive breast cancer

TO Nielsen, JS Parker, S Leung, D Voduc, M Ebbert… - Clinical cancer …, 2010 - AACR
Purpose: To compare clinical, immunohistochemical (IHC), and gene expression models of
prognosis applicable to formalin-fixed, paraffin-embedded blocks in a large series of …

Tumor microenvironment complexity: emerging roles in cancer therapy

MA Swartz, N Iida, EW Roberts, S Sangaletti, MH Wong… - 2012 - AACR
The tumor microenvironment (TME) consists of cells, soluble factors, signaling molecules,
extracellular matrix, and mechanical cues that can promote neoplastic transformation …

Stromal gene expression predicts clinical outcome in breast cancer

G Finak, N Bertos, F Pepin, S Sadekova… - Nature medicine, 2008 - nature.com
Although it is increasingly evident that cancer is influenced by signals emanating from tumor
stroma, little is known regarding how changes in stromal gene expression affect epithelial …

Gene expression signature to improve prognosis prediction of stage II and III colorectal cancer

R Salazar, P Roepman, G Capella, V Moreno… - Journal of clinical …, 2011 - ascopubs.org
Purpose This study aims to develop a robust gene expression classifier that can predict
disease relapse in patients with early-stage colorectal cancer (CRC). Patients and Methods …

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

A Statnikov, L Wang, CF Aliferis - BMC bioinformatics, 2008 - Springer
Background Cancer diagnosis and clinical outcome prediction are among the most
important emerging applications of gene expression microarray technology with several …