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Breast cancer molecular subtypes

Balázs Győrffy, Lőrinc Pongor, Giulia Bottai, Xiaotong Li, Jan Budczies, András Szabó, Christos Hatzis, Lajos Pusztai, Libero Santarpia
BACKGROUND: Sequence variations in coding and non-coding regions of the genome can affect gene expression and signalling pathways, which in turn may influence disease outcome. METHODS: In this study, we integrated somatic mutations, gene expression and clinical data from 930 breast cancer patients included in the TCGA database. Genes associated with single mutations in molecular breast cancer subtypes were identified by the Mann-Whitney U-test and their prognostic value was evaluated by Kaplan-Meier and Cox regression analyses...
March 21, 2018: British Journal of Cancer
Shih-Fan Lai, Yu-Hsuan Chen, Tony Hsiang-Kuang Liang, Che-Yu Hsu, Huang-Chun Lien, Yen-Sen Lu, Chiun-Sheng Huang, Sung-Hsin Kuo
INTRODUCTION: Whole brain (WB) re-irradiation for breast cancer patients with progressive brain metastasis after first-course WB radiotherapy (WBRT) is controversial. In this study, we sought to investigate the association between the molecular sub-classifications and breast-specific Graded Prognostic Assessment (GPA, which includes the Karnofsky performance status, molecular subtypes, and age as its indices) and the outcomes of breast cancer patients who received WB re-irradiation. METHODS: Twenty-three breast cancer patients who received WB re-irradiation for relapsed and progressive intracranial lesions after first-course WBRT between 2004 and 2016 were retrospectively reviewed...
March 20, 2018: Journal of Neuro-oncology
Diego F Munoz, Cong Xu, Sylvia K Plevritis
We present a Monte Carlo simulation model that reproduces US invasive breast cancer incidence and mortality trends from 1975 to 2010 as a function of screening and adjuvant treatment. This model was developed for multiple purposes, including to quantify the impact of screening and adjuvant therapy on past and current trends, predict future trends, and evaluate potential outcomes under hypothetical screening and treatment interventions. The model first generates the life histories of individual breast cancer patients by determining the patient's age, tumor size, estrogen receptor (ER) status, human epidermal growth factor 2 (HER2) status, SEER (Surveillance, Epidemiology, and End Results) historic stage, detection mode at time of detection, preclinical tumor course, and death age and cause of death (breast cancer v...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Oguzhan Alagoz, Mehmet Ali Ergun, Mucahit Cevik, Brian L Sprague, Dennis G Fryback, Ronald E Gangnon, John M Hampton, Natasha K Stout, Amy Trentham-Dietz
The University of Wisconsin Breast Cancer Epidemiology Simulation Model (UWBCS), also referred to as Model W, is a discrete-event microsimulation model that uses a systems engineering approach to replicate breast cancer epidemiology in the US over time. This population-based model simulates the lifetimes of individual women through 4 main model components: breast cancer natural history, detection, treatment, and mortality. A key feature of the UWBCS is that, in addition to specifying a population distribution in tumor growth rates, the model allows for heterogeneity in tumor behavior, with some tumors having limited malignant potential (i...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Jeroen J van den Broek, Nicolien T van Ravesteyn, Eveline A Heijnsdijk, Harry J de Koning
The MISCAN-Fadia microsimulation model uses continuous tumor growth to simulate the natural history of breast cancer and has been used extensively to estimate the impact of screening and adjuvant treatment on breast cancer incidence and mortality trends. The model simulates individual life histories from birth to death, with and without breast cancer, in the presence and in the absence of screening and treatment. Life histories are simulated according to discrete events such as birth, tumor inception, the tumor's clinical diagnosis diameter in the absence of screening, and death from breast cancer or death from other causes...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Jeanne S Mandelblatt, Aimee M Near, Diana L Miglioretti, Diego Munoz, Brian L Sprague, Amy Trentham-Dietz, Ronald Gangnon, Allison W Kurian, Harald Weedon-Fekjaer, Kathleen A Cronin, Sylvia K Plevritis
BACKGROUND: Since their inception in 2000, the Cancer Intervention and Surveillance Network (CISNET) breast cancer models have collaborated to use a nationally representative core of common input parameters to represent key components of breast cancer control in each model. Employment of common inputs permits greater ability to compare model output than when each model begins with different input parameters. The use of common inputs also enhances inferences about the results, and provides a range of reasonable results based on variations in model structure, assumptions, and methods of use of the input values...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Sandra J Lee, Xiaoxue Li, Hui Huang, Marvin Zelen
BACKGROUND: We present updated features to a model developed by Dana-Farber investigators within the Cancer Intervention and Surveillance Modeling Network (CISNET). The initial model was developed to evaluate the impact of mammography screening strategies. METHODS: This major update includes the incorporation of ductal carcinoma in situ (DCIS) as part of the natural history of breast cancer. The updated model allows DCIS in the pre-clinical state to regress to undetectable early-stage DCIS, or to transition to invasive breast cancer, or to clinical DCIS...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Diego F Munoz, Sylvia K Plevritis
BACKGROUND: As molecular subtyping of breast cancer influences clinical management, the evaluation of screening and adjuvant treatment interventions at the population level needs to account for molecular subtyping. Performing such analyses are challenging because molecular subtype-specific, long-term outcomes are not readily accessible; these markers were not historically recorded in tumor registries. We present a modeling approach to estimate historical survival outcomes by estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) status...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Clyde B Schechter, Aimee M Near, Jinani Jayasekera, Young Chandler, Jeanne S Mandelblatt
BACKGROUND: The Georgetown University-Albert Einstein College of Medicine breast cancer simulation model (Model GE) has evolved over time in structure and function to reflect advances in knowledge about breast cancer, improvements in early detection and treatment technology, and progress in computing resources. This article describes the model and provides examples of model applications. METHODS: The model is a discrete events microsimulation of single-life histories of women from multiple birth cohorts...
April 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
Catherine L Forse, Dushanthi Pinnaduwage, Shelley B Bull, Anna Marie Mulligan, Irene L Andrulis
The proper handling of unstained paraffin slides for immunohistochemistry has been a matter of debate, with several studies demonstrating loss of antigenicity with prolonged storage at room temperature, 4°C and -20°C. The purpose of this study was to determine whether long-term storage of unstained slides at -80°C would impact the staining intensity and expression distribution of markers used to molecularly subtype breast cancer specimens [estrogen receptor (ER), human epidermal growth factor receptor 2 (HER2), cytokeratin 5 (CK5), epidermal growth factor receptor (EGFR), and Ki67]...
March 17, 2018: Applied Immunohistochemistry & Molecular Morphology: AIMM
Jiadi Luo, Juan Feng, Qiuyuan Wen, Christopher Qoyawayma, Weiyuan Wang, Lingjiao Chen, Junmi Lu, Yuting Zhan, Lina Xu, Hongjing Zang, Songqing Fan, Shuzhou Chu
Overexpression of Insulin Receptor Substrate 1 (IRS-1) has been reported to promote cell growth, atypical hyperplasia, and carcinogenesis. And phosphorylated Akt (p-Akt) is certified to be involved in many types of cancers such as breast invasive ductal carcinoma (BIDC). However, the relationship between IRS-1 and Akt, as well as the role of expression of IRS-1 in BIDC, has never been reported. The purpose of this research is to investigate the association between expression of IRS-1 and p-Akt proteins and clinicopathological features of BIDC by immunohistochemistry, as well as the survival status...
March 15, 2018: Human Pathology
Muhammad Khairi Ahmad, Nur Ainina Abdollah, Nurul Husna Shafie, Narazah Mohd Yusof, Siti Razila Abdul Razak
Mitogen-activated protein kinases (MAPKs) are the main regulators of cellular proliferation, growth, and survival in physiological or pathological conditions. Aberrant MAPK signaling plays a pivotal role in carcinogenesis, which leads to development and progression of human cancer. Dual-specificity phosphatase 6 (DUSP6), a member of the MAPK phosphatase family, interacts with specifically targeted extracellular signal-regulated kinase 1/2 via negative feedback regulation in the MAPK pathway of mammalian cells...
February 2018: Cancer Biology & Medicine
Timothy Kwang Yong Tay, Aye Aye Thike, Nirmala Pathmanathan, Ana Richelia Jara-Lazaro, Jabed Iqbal, Adeline Shi Hui Sng, Heng Seow Ye, Jeffrey Chun Tatt Lim, Valerie Cui Yun Koh, Jane Sie Yong Tan, Joe Poh Sheng Yeong, Zi Long Chow, Hui Hua Li, Chee Leong Cheng, Puay Hoon Tan
Background: Ki67 positivity in invasive breast cancers has an inverse correlation with survival outcomes and serves as an immunohistochemical surrogate for molecular subtyping of breast cancer, particularly ER positive breast cancer. The optimal threshold of Ki67 in both settings, however, remains elusive. We use computer assisted image analysis (CAIA) to determine the optimal threshold for Ki67 in predicting survival outcomes and differentiating luminal B from luminal A breast cancers...
February 20, 2018: Oncotarget
Rokaya El Ansari, Madeleine L Craze, Maria Diez-Rodriguez, Christopher C Nolan, Ian O Ellis, Emad A Rakha, Andrew R Green
Breast cancer (BC) is a heterogeneous disease characterised by variant biology, metabolic activity and patient outcome. This study aimed to evaluate the biological and prognostic value of the membrane solute carrier, SLC3A2 in BC with emphasis on the intrinsic molecular subtypes. SLC3A2 was assessed at the genomic level, using METABRIC data (n = 1980), and at the proteomic level, using immunohistochemistry on tissue microarray (TMA) sections constructed from a large well-characterised primary BC cohort (n = 2500)...
March 16, 2018: British Journal of Cancer
S Y N Jamaludin, I Azimi, F M Davis, A A Peters, T J Gonda, E W Thompson, S J Roberts-Thomson, G R Monteith
CXC ligand (L)12 is a chemokine implicated in the migration, invasion and metastasis of cancer cells via interaction with its receptors CXC chemokine receptor (CXCR)4 and CXCR7. In the present study, CXCL12-mediated Ca2+ signalling was compared with two basal-like breast cancer cell lines, MDA-MB-231 and MDA-MB-468, which demonstrate distinct metastatic potential. CXCL12 treatment induced Ca2+ responses in the more metastatic MDA-MB-231 cells but not in the less metastatic MDA-MB-468 cells. Assessment of mRNA levels of CXCL12 receptors and their potential modulators in both cell lines revealed that CXCR4 and CXCR7 levels were increased in MDA-MB-231 cells compared with MDA-MB-468 cells...
April 2018: Oncology Letters
J J Zhu, D C Jiao, J H Qiao, L N Wang, Y Z Ma, Z D Lu, Z Z Liu
Objective: To explore the expression of androgen receptor (AR) in the tissues as well as its association with the clinicopathological factors of primary breast cancer patients treated with neoadjuvant chemotherapy (NAC), and analyze the effect of AR in the prediction of pathologic complete response (PCR) rate. Method: A total of 668 breast cancer patients treated with NAC in Henan Cancer Hospital between March 2014 and June 2017 were retrospectively reviewed. The relationship of AR expression and clinicopathological characteristics was calculated using chi square test...
February 27, 2018: Zhonghua Yi Xue za Zhi [Chinese medical journal]
A Mukherjee, R Russell, Suet-Feung Chin, B Liu, O M Rueda, H R Ali, G Turashvili, B Mahler-Araujo, I O Ellis, S Aparicio, C Caldas, E Provenzano
The integration of genomic and transcriptomic profiles of 2000 breast tumours from the METABRIC [Molecular Taxonomy of Breast Cancer International Consortium] cohort revealed ten subtypes, termed integrative clusters (IntClust/s), characterised by distinct genomic drivers. Central histopathology ( N  = 1643) review was undertaken to explore the relationship between these ten molecular subtypes and traditional clinicopathological features. IntClust subtypes were significantly associated with histological type, tumour grade, receptor status, and lymphocytic infiltration ( p  < 0...
2018: NPJ Breast Cancer
Jinho Lee, Gary K Geiss, Gokhan Demirkan, Christopher P Vellano, Brian Filanoski, Yiling Lu, Zhenlin Ju, Shuangxing Yu, Huifang Guo, Lisa Y Bogatzki, Warren E Carter, Rhonda K Meredith, Savitri Krishnamurthy, Zhiyong Ding, Joseph M Beechem, Gordon Mills
Molecular analysis of tumors forms the basis for personalized cancer medicine and increasingly guides patient selection for targeted therapy.  Future opportunities for personalized medicine are highlighted by the measurement of protein expression levels via immunohistochemistry, protein arrays, and other approaches; however, sample type, sample quantity, batch effects, and "time to result" are limiting factors for clinical application.  Here, we present a development pipeline for a novel multiplexed DNA-labeled antibody platform which digitally quantifies protein expression from lysate samples...
March 12, 2018: Molecular & Cellular Proteomics: MCP
Pernilla Roswall, Matteo Bocci, Michael Bartoschek, Hong Li, Glen Kristiansen, Sara Jansson, Sophie Lehn, Jonas Sjölund, Steven Reid, Christer Larsson, Pontus Eriksson, Charlotte Anderberg, Eliane Cortez, Lao H Saal, Christina Orsmark-Pietras, Eugenia Cordero, Bengt Kristian Haller, Jari Häkkinen, Ingrid J G Burvenich, Elgene Lim, Akira Orimo, Mattias Höglund, Lisa Rydén, Holger Moch, Andrew M Scott, Ulf Eriksson, Kristian Pietras
Breast tumors of the basal-like, hormone receptor-negative subtype remain an unmet clinical challenge, as there is high rate of recurrence and poor survival in patients following treatment. Coevolution of the malignant mammary epithelium and its underlying stroma instigates cancer-associated fibroblasts (CAFs) to support most, if not all, hallmarks of cancer progression. Here we delineate a previously unappreciated role for CAFs as determinants of the molecular subtype of breast cancer. We identified paracrine crosstalk between cancer cells expressing platelet-derived growth factor (PDGF)-CC and CAFs expressing the cognate receptors in human basal-like mammary carcinomas...
March 12, 2018: Nature Medicine
Wenjuan Ma, Yumei Zhao, Yu Ji, Xinpeng Guo, Xiqi Jian, Peifang Liu, Shandong Wu
RATIONALE AND OBJECTIVES: This study aimed to investigate whether quantitative radiomic features extracted from digital mammogram images are associated with molecular subtypes of breast cancer. MATERIALS AND METHODS: In this institutional review board-approved retrospective study, we collected 331 Chinese women who were diagnosed with invasive breast cancer in 2015. This cohort included 29 triple-negative, 45 human epidermal growth factor receptor 2 (HER2)-enriched, 36 luminal A, and 221 luminal B lesions...
March 8, 2018: Academic Radiology
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