Grant Details
Grant Number: |
1R21CA196508-01A1 Interpret this number |
Primary Investigator: |
Zhao, Zhongming |
Organization: |
University Of Texas Hlth Sci Ctr Houston |
Project Title: |
Microrna and Transcription Factor CO-Regulation in Cancer |
Fiscal Year: |
2016 |
Abstract
DESCRIPTION (provided by applicant): Recent studies have implicated the critical roles of microRNAs (miRNAs) in the pathogenesis of cancer, suggesting that miRNAs can be clinically useful as biomarkers for cancer prognosis, diagnosis and treatment. To date, the miRNA information in cancer studies has varied greatly due to data heterogeneity and disease complexity. In this application, in Aim 1, we will develop novel statistical methods to systematically perform meta- analysis of miRNA expression in the first four cancers (glioblastoma, ovarian cancer, colorectal cancer, and lung cancer) reported by The Cancer Genome Atlas (TCGA) project. For each of these cancers, more than 300 dysregulated miRNAs have been reported, which makes this aim not only feasible but immediately needed. In Aim 2, we will develop innovative strategies to explore miRNAs' functions in cancer through miRNA and transcription factor (TF) co-regulatory network analysis. For each cancer, we will build cancer-specific regulatory networks using miRNA/mRNA co-expression profiling and TF/gene regulation derived from the corresponding TCGA dataset. We will then identify network modules that reflect miRNA and TF co-regulation in cancer. We will investigate both common regulatory modules among four types of cancer and unique modules for each specific cancer. In Aim 3, we will experimentally validate selected miRNAs and their targets in common regulatory modules from Aim 2 using already available tissue and matched normal samples as well as established cell lines. This application will be the first systematic investigation of all available miRNA studes in the first four TCGA cancers. The successful completion of Aim 1 will provide us with a list of evidence-based miRNAs in glioblastoma, ovarian cancer, colorectal cancer, and lung cancer; the successful completion of Aim 2 will provide us with a comprehensive exploration of miRNA and TF co-regulation at the regulatory network level in these cancers; the successful completion of Aim 3 will validate our meta- and network- approaches, help us understand the miRNA regulatory mechanisms, and provide us with potential therapeutic targets in these cancers. Although quite exploratory, we expect this project is highly feasible and timely due to the large amount of data available in literature and from TCGA. This pioneering effort to detect functionally important miRNAs in complex diseases will greatly enhance our understanding of the regulatory systems in cancer, which will likely lead to the development of effective prevention, diagnosis, and treatment strategies.
Publications
MicroRNA and transcription factor co-regulatory networks and subtype classification of seminoma and non-seminoma in testicular germ cell tumors.
Authors: Qin G.
, Mallik S.
, Mitra R.
, Li A.
, Jia P.
, Eischen C.M.
, Zhao Z.
.
Source: Scientific Reports, 2020-01-21 00:00:00.0; 10(1), p. 852.
EPub date: 2020-01-21 00:00:00.0.
PMID: 31965022
Related Citations
Distinct telomere length and molecular signatures in seminoma and non-seminoma of testicular germ cell tumor.
Authors: Sun H.
, Kim P.
, Jia P.
, Park A.K.
, Liang H.
, Zhao Z.
.
Source: Briefings In Bioinformatics, 2019-07-19 00:00:00.0; 20(4), p. 1502-1512.
PMID: 29579225
Related Citations
MicroRNA-374a, -4680, and -133b suppress cell proliferation through the regulation of genes associated with human cleft palate in cultured human palate cells.
Authors: Suzuki A.
, Li A.
, Gajera M.
, Abdallah N.
, Zhang M.
, Zhao Z.
, Iwata J.
.
Source: Bmc Medical Genomics, 2019-07-01 00:00:00.0; 12(1), p. 93.
EPub date: 2019-07-01 00:00:00.0.
PMID: 31262291
Related Citations
MicroRNA-655-3p and microRNA-497-5p inhibit cell proliferation in cultured human lip cells through the regulation of genes related to human cleft lip.
Authors: Gajera M.
, Desai N.
, Suzuki A.
, Li A.
, Zhang M.
, Jun G.
, Jia P.
, Zhao Z.
, Iwata J.
.
Source: Bmc Medical Genomics, 2019-05-23 00:00:00.0; 12(1), p. 70.
EPub date: 2019-05-23 00:00:00.0.
PMID: 31122291
Related Citations
Circular RNA expression profiles during the differentiation of mouse neural stem cells.
Authors: Yang Q.
, Wu J.
, Zhao J.
, Xu T.
, Zhao Z.
, Song X.
, Han P.
.
Source: Bmc Systems Biology, 2018-12-21 00:00:00.0; 12(Suppl 8), p. 128.
EPub date: 2018-12-21 00:00:00.0.
PMID: 30577840
Related Citations
TissGDB: tissue-specific gene database in cancer.
Authors: Kim P.
, Park A.
, Han G.
, Sun H.
, Jia P.
, Zhao Z.
.
Source: Nucleic Acids Research, 2018-01-04 00:00:00.0; 46(D1), p. D1031-D1038.
PMID: 29036590
Related Citations
Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer.
Authors: Wang H.
, Luo J.
, Liu C.
, Niu H.
, Wang J.
, Liu Q.
, Zhao Z.
, Xu H.
, Ding Y.
, Sun J.
, et al.
.
Source: Bmc Bioinformatics, 2017-09-02 00:00:00.0; 18(1), p. 388.
EPub date: 2017-09-02 00:00:00.0.
PMID: 28865443
Related Citations
SZGR 2.0: a one-stop shop of schizophrenia candidate genes.
Authors: Jia P.
, Han G.
, Zhao J.
, Lu P.
, Zhao Z.
.
Source: Nucleic Acids Research, 2017-01-04 00:00:00.0; 45(D1), p. D915-D924.
EPub date: 2016-10-12 00:00:00.0.
PMID: 27733502
Related Citations
mutLBSgeneDB: mutated ligand binding site gene DataBase.
Authors: Kim P.
, Zhao J.
, Lu P.
, Zhao Z.
.
Source: Nucleic Acids Research, 2017-01-04 00:00:00.0; 45(D1), p. D256-D263.
EPub date: 2016-10-07 00:00:00.0.
PMID: 27907895
Related Citations
Kinase impact assessment in the landscape of fusion genes that retain kinase domains: a pan-cancer study.
Authors: Kim P.
, Jia P.
, Zhao Z.
.
Source: Briefings In Bioinformatics, 2016-12-24 00:00:00.0; , .
EPub date: 2016-12-24 00:00:00.0.
PMID: 28013235
Related Citations
The Potential Roles Of Long Noncoding Rnas (lncrna) In Glioblastoma Development
Authors: Liu S.
, Mitra R.
, Zhao M.M.
, Fan W.
, Eischen C.M.
, Yin F.
, Zhao Z.
.
Source: Molecular Cancer Therapeutics, 2016 Dec; 15(12), p. 2977-2986.
PMID: 27784795
Related Citations
An integrative genomics approach for identifying novel functional consequences of PBRM1 truncated mutations in clear cell renal cell carcinoma (ccRCC).
Authors: Wang Y.
, Guo X.
, Bray M.J.
, Ding Z.
, Zhao Z.
.
Source: Bmc Genomics, 2016-08-22 00:00:00.0; 17 Suppl 7, p. 515.
EPub date: 2016-08-22 00:00:00.0.
PMID: 27556922
Related Citations