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Molecular biology and breast cancer

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https://www.readbyqxmd.com/read/27915434/differences-in-the-mutational-landscape-of-triple-negative-breast-cancer-in-african-americans-and-caucasians
#1
Foluso O Ademuyiwa, Yu Tao, Jingqin Luo, Katherine Weilbaecher, Cynthia X Ma
BACKGROUND: Triple-negative breast cancer (TNBC) occurs at higher frequency in African Americans compared with Caucasians. It is unclear if the biology of TNBC is different in African American versus Caucasians. In this study, we sought to evaluate racial differences in the molecular pathology of TNBC. METHODS: Using data from The Cancer Genome Atlas, we identified TNBC patients with information on race. We analyzed differences in clinical characteristics, tumor somatic mutations, and gene expression patterns by race from whole exome and microarray data...
December 3, 2016: Breast Cancer Research and Treatment
https://www.readbyqxmd.com/read/27914769/clinicopathological-and-molecular-characteristics-of-ku-70-80-expression-in-nigerian-breast-cancer-and-its-potential-therapeutic-implications
#2
Ayodeji O J Agboola, Henry O Ebili, Victoria O Iyawe, Adekunbiola A F Banjo, Babatunde A Salami, Emad A Rakha, Chrstopher C Nolan, Ian O Ellis, Andrew R Green
Ku 70/80 is a regulator of the Non-Homologous End Joining (NHEJ) roles in clinicopathological features, and has prognostic significance in breast cancer (BC) in Caucasian populations. However, its significance in the Nigerian BC population, which is characterized by a higher rate of the triple-negative and basal phenotype, p53 mutation rate and BRCA1 deficiency, still needs to be investigated. We hypothesize that Ku70/80 expression shows adverse expression in Nigerian BC and, furthermore, that it is likely to have a therapeutic implication for Black BC management...
October 25, 2016: Pathology, Research and Practice
https://www.readbyqxmd.com/read/27909956/docking-and-three-dimensional-quantitative-structure-activity-relationship-analyses-of-imidazole-and-thiazolidine-derivatives-as-aurora-a-kinase-inhibitors
#3
Chaeuk Im
Aurora A kinase is involved in the inactivation of apoptosis leading to ovarian, breast, colon, and pancreatic cancers. Inhibitors of Aurora A kinase promote aberrant mitosis resulting in arrest at a pseudo G1 state to induce mitotic catastrophe, ultimately leading to apoptosis. In this study, ligand-based and docking-based three-dimensional quantitative structure-activity relationship (3D-QSAR) analyses of imidazole and thiazolidine derivatives as potential Aurora A kinase inhibitors were performed. The results provided highly reliable and predictive 3D-QSAR comparative molecular similarity index analysis (CoMSIA) models with a cross-validated q(2) value of 0...
December 1, 2016: Archives of Pharmacal Research
https://www.readbyqxmd.com/read/27909909/obesity-biomarkers-metabolism-and-risk-of-cancer-an-epidemiological-perspective
#4
Katharina Nimptsch, Tobias Pischon
Obesity is associated with metabolic alterations that may pose a biological link between body fatness and risk of cancer. Elucidating the role of obesity-related biomarkers in cancer development is essential for developing targeted strategies aiming at obesity-associated cancer prevention. Molecular epidemiological studies of the past decades have provided evidence that major hormonal pathways linking obesity and cancer risk include the insulin and insulin-like growth factor-1 (IGF-1) axis, sex-steroid hormones, adipokines and chronic low-grade inflammation...
2016: Recent Results in Cancer Research
https://www.readbyqxmd.com/read/27904695/overexpression-of-akip1-predicts-poor-prognosis-of-patients-with-breast-carcinoma-and-promotes-cancer-metastasis-through-akt-gsk-3%C3%AE-snail-pathway
#5
Dan Mo, Xinning Li, Chunhong Li, Junrong Liang, Tian Zeng, Naiwei Su, Qipei Jiang, Jingjing Huang
Recent evidence has demonstrated that A kinase interacting protein 1 (AKIP1), a molecular regulator of protein kinase A, was overexpressed in breast cancer. However, the prognostic and biological role of AKIP1 in breast cancer is still elusive. The purpose of our study was to elucidate the role and molecular mechanism of AKIP1 in breast cancer development. The mRNA levels of AKIP1 in breast cancer and paired normal breast tissues were examined by quantitative real-time PCR. The relationship of AKIP1 expression with clinicopathological characteristics and clinical prognosis of breast cancer patients was investigated...
2016: American Journal of Translational Research
https://www.readbyqxmd.com/read/27900034/mir-520e-regulates-cell-proliferation-apoptosis-and-migration-in-breast-cancer
#6
Ming Yi, Minghua Li, Xia Long, Jing Ye, Junwei Cui, Wei Wei, Huijuan Wan, Meijun Yin, Shuying Gao, Zhengming Su, Fangting Zhang
Previous studies have indicated that the deregulation of microRNAs contributes to tumorigenesis. Misregulation of microRNA-520e (miR-520e) has been observed in various types of cancer. However, the expression profile and biological function of miR-520e in breast cancer remains largely unknown. The present study demonstrated that miR-520e expression was significantly increased in breast cancer tissues compared with adjacent non-cancerous breast tissues in 21 patients, as revealed by reverse transcription-quantitative polymerase chain reaction...
November 2016: Oncology Letters
https://www.readbyqxmd.com/read/27899966/analysis-of-the-molecular-mechanism-of-osteosarcoma-using-a-bioinformatics-approach
#7
Jianxun Yang, Ning Wang
The aim of this study was to explore the underlying molecular mechanism related to the process and progression of osteosarcoma (OS). The differentially expressed genes (DEGs) were downloaded from the Gene Expression Omnibus database. The pathway and gene ontology (GO) enrichment analysis, as well as transcription factor, tumor-associated gene and tumor suppressor gene analyses were performed to investigate the functions of DEGs. Next, the protein-protein interaction (PPI) network was constructed and module analysis was further assessed by cluster analysis with the overlapping neighborhood expansion (Cluster ONE) cytoscape plug-in...
November 2016: Oncology Letters
https://www.readbyqxmd.com/read/27899774/-a-review-multigene-assays-for-clinical-utility-in-breast-cancer
#8
Kazuhiro Araki, Yoshinori Ito
Multigene assays that simultaneously measure the expression of various breast cancer genes have been developed to guide the use of adjuvant chemotherapy in early breast cancer. The efficacy of adjuvant therapies depends on the recurrence risk for an individual patient. As a result, accurate prediction of the recurrence risk is vital for precise adjuvant chemotherapy in individual breast cancer patients. The recurrence risk as typically assessed by conventional examination of histological data of immuno-histological biomarkers(ER, PR, HER2, and Ki-67)is not sufficient to select subsets of patients...
November 2016: Gan to Kagaku Ryoho. Cancer & Chemotherapy
https://www.readbyqxmd.com/read/27896993/frequent-subgraph-mining-of-personalized-signaling-pathway-networks-groups-patients-with-frequently-dysregulated-disease-pathways-and-predicts-prognosis
#9
Arda Durmaz, Tim A D Henderson, Douglas Brubaker, Gurkan Bebek
MOTIVATION: Large scale genomics studies have generated comprehensive molecular characterization of numerous cancer types. Subtypes for many tumor types have been established; however, these classifications are based on molecular characteristics of a small gene sets with limited power to detect dysregulation at the patient level. We hypothesize that frequent graph mining of pathways to gather pathways functionally relevant to tumors can characterize tumor types and provide opportunities for personalized therapies...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896987/discovery-of-functional-and-disease-pathways-by-community-detection-in-protein-protein-interaction-networks
#10
Stephen J Wilson, Angela D Wilkins, Chih-Hsu Lin, Rhonald C Lua, Olivier Lichtarge
Advances in cellular, molecular, and disease biology depend on the comprehensive characterization of gene interactions and pathways. Traditionally, these pathways are curated manually, limiting their efficient annotation and, potentially, reinforcing field-specific bias. Here, in order to test objective and automated identification of functionally cooperative genes, we compared a novel algorithm with three established methods to search for communities within gene interaction networks. Communities identified by the novel approach and by one of the established method overlapped significantly (q < 0...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896700/fat4-functions-as-a-tumor-suppressor-in-triple-negative-breast-cancer
#11
Lingmi Hou, Maoshan Chen, Xiaobo Zhao, Jingdong Li, Shishan Deng, Jiani Hu, Hongwei Yang, Jun Jiang
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer that is often associated with biologic behavior with frequent distant metastasis. FAT tumor suppressor homolog 4 (FAT4), a cadherin-related protein, is involved in a variety of biological processes as a tumor suppressor; however, the role of FAT4 in TNBC is still unclear. The aim of our study was to identify the role of FAT4 in TNBC and examine the underlying molecular mechanisms. The expression of FAT4 was evaluated by immunohistochemistry, western blotting, and qRT-PCR in a series of TNBC tissues...
November 28, 2016: Tumour Biology: the Journal of the International Society for Oncodevelopmental Biology and Medicine
https://www.readbyqxmd.com/read/27895661/the-genome-conformation-as-an-integrator-of-multi-omic-data-the-example-of-damage-spreading-in-cancer
#12
Fabio Tordini, Marco Aldinucci, Luciano Milanesi, Pietro Liò, Ivan Merelli
Publicly available multi-omic databases, in particular if associated with medical annotations, are rich resources with the potential to lead a rapid transition from high-throughput molecular biology experiments to better clinical outcomes for patients. In this work, we propose a model for multi-omic data integration (i.e., genetic variations, gene expression, genome conformation, and epigenetic patterns), which exploits a multi-layer network approach to analyse, visualize, and obtain insights from such biological information, in order to use achieved results at a macroscopic level...
2016: Frontiers in Genetics
https://www.readbyqxmd.com/read/27895496/identification-of-lncrna-fam83h-as1-as-a-novel-prognostic-marker-in-luminal-subtype-breast-cancer
#13
Fan Yang, Shi-Xu Lv, Lin Lv, Ye-Huan Liu, Si-Yang Dong, Zhi-Han Yao, Xuan-Xuan Dai, Xiao-Hua Zhang, Ou-Chen Wang
BACKGROUND: Luminal subtype breast cancer accounts for a predominant number of breast cancers. Considering the heterogeneity of the disease, it is urgent to develop novel biomarkers to improve risk stratification and optimize therapy choices. Long non-coding RNA (lncRNA) represents an emerging and understudied class of transcripts that play a significant role in cancer biology. Growing knowledge of cancer-associated lncRNAs contributes to the development of molecular markers for prognosis evaluation and gene therapy...
2016: OncoTargets and Therapy
https://www.readbyqxmd.com/read/27891540/advancement-of-mass-spectrometry-based-proteomics-technologies-to-explore-triple-negative-breast-cancer
#14
REVIEW
Sayem Miah, Charles A S Banks, Mark K Adams, Laurence Florens, Kiven E Lukong, Michael P Washburn
Understanding the complexity of cancer biology requires extensive information about the cancer proteome over the course of the disease. The recent advances in mass spectrometry-based proteomics technologies have led to the accumulation of an incredible amount of such proteomic information. This information allows us to identify protein signatures or protein biomarkers, which can be used to improve cancer diagnosis, prognosis and treatment. For example, mass spectrometry-based proteomics has been used in breast cancer research for over two decades to elucidate protein function...
November 28, 2016: Molecular BioSystems
https://www.readbyqxmd.com/read/27880919/activation-of-g-protein-coupled-receptor-30-by-thiodiphenol-promotes-proliferation-of-estrogen-receptor-%C3%AE-positive-breast-cancer-cells
#15
Bingli Lei, Wei Peng, Gang Xu, Minghong Wu, Yu Wen, Jie Xu, Zhiqiang Yu, Yipei Wang
Many studies have been shown that environmental estrogen bisphenol A (BPA) can activate nuclear receptor (estrogen receptor alpha, ERα) or membrane receptor (G-protein-coupled receptor, GPR30) in breast cancer cells and exerts genomic or nongenomic actions inducing cell proliferation. 4,4'-thiodiphenol (TDP) as one of BPA derivatives exhibits more potent estrogenic activity than BPA does. However, comparatively little is known about the ways in which TDP interferes with these signaling pathways and produces cell biological changes...
November 20, 2016: Chemosphere
https://www.readbyqxmd.com/read/27879266/threshold-analysis-and-biodistribution-of-fluorescently-labeled-bevacizumab-in-human-breast-cancer
#16
Maximillian Koch, Johannes S de Jong, Jürgen Glatz, Panagiotis Symvoulidis, Laetitia E Lamberts, Arthur Adams, Mariëtte E G Kranendonk, Anton G T Terwisscha van Scheltinga, Michaela Aichler, Liesbeth Jansen, Jakob de Vries, Marjolijn N Lub-de Hooge, Carolina P Schröder, Annelies Jorritsma-Smit, Matthijs D Linssen, Esther de Boer, Bert van der Vegt, Wouter B Nagengast, Sjoerd G Elias, Sabrina Oliveira, Arjen Witkamp, Willem P Th M Mali, Elsken van der Wall, Beatriz P Garcia-Allende, Paul J Van Diest, Elisabeth G de Vries, Axel Walch, Gooitzen M van Dam, Vasilis Ntziachristos
In vivo tumor labeling with fluorescent agents may assist endoscopic and surgical guidance for cancer therapy as well as create opportunities to directly observe cancer biology in patients. However, malignant and non-malignant tissues are usually distinguished on fluorescence images by applying empirically determined fluorescence intensity thresholds. Here we report the development of fSTREAM, a set of analytic methods designed to streamline the analysis of surgically excised breast tissues by collecting and statistically processing hybrid multi-scale fluorescence, color, and histology readouts toward precision fluorescence imaging...
November 22, 2016: Cancer Research
https://www.readbyqxmd.com/read/27876019/a-systematic-comparison-of-copy-number-alterations-in-four-types-of-female-cancer
#17
Fatemeh Kaveh, Lars O Baumbusch, Daniel Nebdal, Anne-Lise Børresen-Dale, Ole Christian Lingjærde, Hege Edvardsen, Vessela N Kristensen, Hiroko K Solvang
BACKGROUND: Detection and localization of genomic alterations and breakpoints are crucial in cancer research. The purpose of this study was to investigate, in a methodological and biological perspective, different female, hormone-dependent cancers to identify common and diverse DNA aberrations, genes, and pathways. METHODS: In this work, we analyzed tissue samples from patients with breast (n = 112), ovarian (n = 74), endometrial (n = 84), or cervical (n = 76) cancer...
November 22, 2016: BMC Cancer
https://www.readbyqxmd.com/read/27865467/molecular-changes-during-breast-cancer-and-mechanisms-of-endocrine-therapy-resistance
#18
S Radhi
Estrogen receptors (ERs) are expressed in 75% of breast cancers. ERs and their estrogen ligands play a key role in the development and progression of breast cancer. ERs have a genomic activity involving direct modulation of expression of genes vital to cell growth and survival by their classic nuclear receptors. The nongenomic activity is mediated by membrane receptor tyrosine kinases that activate signaling pathways resulting in activation of ER pathway modulators. Endocrine therapies inhibit the growth promoting activity of estrogen...
2016: Progress in Molecular Biology and Translational Science
https://www.readbyqxmd.com/read/27862229/sparse-multivariate-factor-analysis-regression-models-and-its-applications-to-integrative-genomics-analysis
#19
Yan Zhou, Pei Wang, Xianlong Wang, Ji Zhu, Peter X-K Song
The multivariate regression model is a useful tool to explore complex associations between two kinds of molecular markers, which enables the understanding of the biological pathways underlying disease etiology. For a set of correlated response variables, accounting for such dependency can increase statistical power. Motivated by integrative genomic data analyses, we propose a new methodology-sparse multivariate factor analysis regression model (smFARM), in which correlations of response variables are assumed to follow a factor analysis model with latent factors...
November 10, 2016: Genetic Epidemiology
https://www.readbyqxmd.com/read/27861902/the-molecular-basis-of-breast-cancer-pathological-phenotypes
#20
Yujing J Heng, Susan C Lester, Gary M K Tse, Rachel E Factor, Kimberly H Allison, Laura C Collins, Yunn-Yi Chen, Kristin C Jensen, Nicole B Johnson, Jong Cheol Jeong, Rahi Punjabi, Sandra J Shin, Kamaljeet Singh, Gregor Krings, David A Eberhard, Puay Hoon Tan, Konstanty Korski, Frederic M Waldman, David A Gutman, Melinda Sanders, Jorge S Reis-Filho, Sydney R Flanagan, Deena M A Gendoo, Gregory M Chen, Benjamin Haibe-Kains, Giovanni Ciriello, Katherine A Hoadley, Charles M Perou, Andrew H Beck
The histopathological evaluation of morphological features in breast tumours provides prognostic information to guide therapy. Adjunct molecular analyses provide further diagnostic, prognostic and predictive information. However, there is limited knowledge of the molecular basis of morphological phenotypes in invasive breast cancer. This study integrated genomic, transcriptomic and protein data to provide a comprehensive molecular profiling of morphological features in breast cancer. Fifteen pathologists assessed 850 invasive breast cancer cases from The Cancer Genome Atlas (TCGA)...
November 14, 2016: Journal of Pathology
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