|Grant Number:||7R01CA136483-04 Interpret this number|
|Primary Investigator:||Zhao, Hua|
|Organization:||University Of Tx Md Anderson Can Ctr|
|Project Title:||MICRORNA: a Novel Genetic Modifier for Breast Cancer Predisposition|
DESCRIPTION (provided by applicant): The discovery of microRNAs (miRNAs) in the last decade, and the realization of their growing importance in carcinogenesis and cancer prognosis through regulation of transcription of oncogenes and tumor suppressor genes (TSGs), has led to an era of excitement of discovery regarding these small molecules. Although it is known that there is widespread misexpression of miRNAs in many cancer tissues, including breast cancer, little is known regarding how inherited variability in miRNA genes and their responsive elements in target genes may predispose to cancer. As a consequence of the particular way in which miRNAs function - by targeting a number of functionally important protein-coding genes, such as oncogenes and TSGs - genetic variations in miRNA genes and their responsive elements in target genes could be important in cancer predisposition. Inherited variability in miRNAs may be extremely relevant for breast cancer, as family history has consistently been regarded as a major risk factor for breast cancer. Germ-line mutations in the currently known high-risk breast cancer genes (such as BRCA1/2, etc) are common in familial breast cancer, but they can explain at best 20-25% of the overall excess familial risk, suggesting the presence of other unidentified predisposition genes, which confer susceptibility to breast cancer. Considerable efforts have been made to discover breast susceptibility genes, however so far few have been identified. The dilemma might be due to the fact that susceptibility alleles reside in protein non-encoding genes, such as miRNAs, or miRNA responsive elements at 3'UTR of the target genes, which are traditionally overlooked in genetic screening. We propose a study by utilizing valuable resource from Cooperative Familial Registry for Breast Cancer Studies (CFRBCS) to screen genetic variants in selected miRNA genes and their responsive elements in target genes in hereditary breast cancer families, to assess the genetic susceptibility of these genetic variants in the development of hereditary and/or sporadic breast cancer, and to functionally characterize these genetic variants. We hypothesize that genetic variations in miRNA genes and their responsive elements in target genes alter various biological processes by influencing the biological functions of miRNAs, and thereby modify genetic predisposition to breast cancer. Because this research is nested within the CFRBCS, the objectives can be addressed in a timely and cost effective manner. This innovative and important area has not been investigated yet. The proposed research will help us to elucidate the biological significance of miRNA in breast cancer, explore the functional significance of these inherited variations, and establish a solid foundation for understanding the role of miRNA in breast cancer predisposition. From a clinical perspective, the long-term application of this information to risk assessment and thus to the prevention and early detection of breast cancer in families as well as population will be significant. PUBLIC HEALTH RELEVANCE: The proposed research will help us to elucidate the biological significance of miRNA in breast cancer, explore the functional significance of these inherited variations, and establish a solid foundation for understanding the role of miRNA in breast cancer predisposition. From a clinical perspective, the long-term application of this information to risk assessment and thus to the prevention and early detection of breast cancer in families as well as population will be significant.
Effects of Preanalytic Variables on Circulating MicroRNAs in Whole Blood.
Authors: Zhao H, Shen J, Hu Q, Davis W, Medico L, Wang D, Yan L, Guo Y, Liu B, Qin M, Nesline M, Zhu Q, Yao S, Ambrosone CB, Liu S
Source: Cancer Epidemiol Biomarkers Prev, 2014 Dec;23(12), p. 2643-8.
Variants of estrogen-related genes and breast cancer risk in European and African American women.
Authors: Quan L, Hong CC, Zirpoli G, Roberts MR, Khoury T, Sucheston-Campbell LE, Bovbjerg DH, Jandorf L, Pawlish K, Ciupak G, Davis W, Bandera EV, Ambrosone CB, Yao S
Source: Endocr Relat Cancer, 2014 Dec;21(6), p. 853-64.
EPub date: 2014 Sep 16.
Circulating miR-148b and miR-133a as biomarkers for breast cancer detection.
Authors: Shen J, Hu Q, Schrauder M, Yan L, Wang D, Medico L, Guo Y, Yao S, Zhu Q, Liu B, Qin M, Beckmann MW, Fasching PA, Strick R, Johnson CS, Ambrosone CB, Zhao H, Liu S
Source: Oncotarget, 2014 Jul 30;5(14), p. 5284-94.
Genetic variants in microRNAs and breast cancer risk in African American and European American women.
Authors: Yao S, Graham K, Shen J, Campbell LE, Singh P, Zirpoli G, Roberts M, Ciupak G, Davis W, Hwang H, Khoury T, Bovbjerg DH, Jandorf L, Pawlish KS, Bandera EV, Liu S, Ambrosone CB, Zhao H
Source: Breast Cancer Res Treat, 2013 Oct;141(3), p. 447-59.
EPub date: 2013 Sep 24.
Associations between gene expression variations and ovarian cancer risk alleles identified from genome wide association studies.
Authors: Zhao H, Shen J, Wang D, Guo Y, Gregory S, Medico L, Hu Q, Yan L, Odunsi K, Lele S, Liu S
Source: PLoS One, 2012;7(11), p. e47962.
EPub date: 2012 Nov 2.
Evaluation of microRNA expression profiles and their associations with risk alleles in lymphoblastoid cell lines of familial ovarian cancer.
Authors: Shen J, Wang D, Gregory SR, Medico L, Hu Q, Yan L, Odunsi K, Lele SB, Ambrosone CB, Liu S, Zhao H
Source: Carcinogenesis, 2012 Mar;33(3), p. 604-12.
EPub date: 2012 Jan 10.
Parity and lactation in relation to estrogen receptor negative breast cancer in African American women.
Authors: Palmer JR, Boggs DA, Wise LA, Ambrosone CB, Adams-Campbell LL, Rosenberg L
Source: Cancer Epidemiol Biomarkers Prev, 2011 Sep;20(9), p. 1883-91.
EPub date: 2011 Aug 16.
A pilot study of circulating miRNAs as potential biomarkers of early stage breast cancer.
Authors: Zhao H, Shen J, Medico L, Wang D, Ambrosone CB, Liu S
Source: PLoS One, 2010 Oct 29;5(10), p. e13735.
EPub date: 2010 Oct 29.