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Grant Details

Grant Number: 5R50CA211533-05 Interpret this number
Primary Investigator: Akagi, Keiko
Organization: University Of Tx Md Anderson Can Ctr
Project Title: Dr. Keiko Akagi, a Bioinformatics Specialist in Cancer Genomics Research at Osu Comprehensive Cancer Center
Fiscal Year: 2020


Project Summary/Abstract The recent development and implementation of second-generation, deep sequencing technologies has provided an unprecedented opportunity to characterize genomic changes in cancer. However, the enormous data output from these sequencing platforms also presents a formidable statistical and computational challenge to separate and validate the minority of cancer-causing driver mutations from the overwhelming majority of irrelevant bystander passenger mutations. Computational analysis plays a critically important role in making biological sense out of the mountains of genomic sequencing data. In this proposal, I propose to continue my research work as an expert in cancer bioinformatics, to develop computational tools to narrow down the candidate cancer-causing disease mutations involved in the development and progression of cancer. My bioinformatics work will focus on three research areas: (i) identification of genes causing familial disposition to cancer susceptibility, (ii) detection and characterization of large structural alterations in cancer, and (iii) identification of cancer genes using mouse cancer model system. My short term goal is to develop bioinformatics tools to develop bioinformatics tools to identify cancer-causing disease mutations using genome sequencing data from human patients and mouse cancer models. My long term goal is to characterize these driver mutations further, generating molecular targets to improve diagnosis, risk stratification and treatment of cancer. In my first aim, I propose to develop a bioinformatics pipeline to identify cancer predisposing germline mutations from patients with strong familial history of cancer using whole-genome or whole-exome sequencing data. This aim tests the hypothesis that cancer predisposing mutations can be weighted and validated from enormous sequencing data sets using statistical and bioinformatics methods. In my second specific aim, I will develop bioinformatics algorithms to detect and characterize large structural variants in human cancer. This aim tests the hypothesis that integrative analysis of different genome sequencing platforms can be further refined and validated the full structure of complex genomic alteration. In my third aim, I will develop algorithms to identify the genes that accelerate the development of cancer in mouse cancer models. This aim tests the hypothesis that the computational algorithms and statistical approaches can identify genes predisposing animals to develop cancer and can predict their relevance to human cancer. Successful completion of this groundbreaking new informatics research as a Research Specialist will shed new light on the molecular basis of many cancers, will contribute to active cancer research at Ohio State, and will continue significant recent progress in developing new genomics technologies and analytical methods in studies of human cancers.


Human papillomavirus insertions identify the PIM family of serine/threonine kinases as targetable driver genes in head and neck squamous cell carcinoma.
Authors: Broutian T.R. , Jiang B. , Li J. , Akagi K. , Gui S. , Zhou Z. , Xiao W. , Symer D.E. , Gillison M.L. .
Source: Cancer letters, 2020-04-28; 476, p. 23-33.
EPub date: 2020-01-17.
PMID: 31958486
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Identification of Rare Variants Predisposing to Thyroid Cancer.
Authors: Wang Y. , Liyanarachchi S. , Miller K.E. , Nieminen T.T. , Comiskey D.F. , Li W. , Brock P. , Symer D.E. , Akagi K. , DeLap K.E. , et al. .
Source: Thyroid : official journal of the American Thyroid Association, 2019 07; 29(7), p. 946-955.
EPub date: 2019-05-13.
PMID: 30957677
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Variations in HPV function are associated with survival in squamous cell carcinoma.
Authors: Gleber-Netto F.O. , Rao X. , Guo T. , Xi Y. , Gao M. , Shen L. , Erikson K. , Kalu N.N. , Ren S. , Xu G. , et al. .
Source: JCI insight, 2019-01-10; 4(1), p. e124762.
EPub date: 2019-01-10.
PMID: 30626753
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Human papillomavirus and the landscape of secondary genetic alterations in oral cancers.
Authors: Gillison M.L. , Akagi K. , Xiao W. , Jiang B. , Pickard R.K.L. , Li J. , Swanson B.J. , Agrawal A.D. , Zucker M. , Stache-Crain B. , et al. .
Source: Genome research, 2019 01; 29(1), p. 1-17.
EPub date: 2018-12-18.
PMID: 30563911
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Metaplastic breast cancer in a patient with neurofibromatosis type 1 and somatic loss of heterozygosity.
Authors: Suarez-Kelly L.P. , Akagi K. , Reeser J.W. , Samorodnitsky E. , Reeder M. , Smith A. , Roychowdhury S. , Symer D.E. , Carson W.E. .
Source: Cold Spring Harbor molecular case studies, 2018 04; 4(2), .
EPub date: 2018-04-02.
PMID: 29449315
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HPV integration hijacks and multimerizes a cellular enhancer to generate a viral-cellular super-enhancer that drives high viral oncogene expression.
Authors: Warburton A. , Redmond C.J. , Dooley K.E. , Fu H. , Gillison M.L. , Akagi K. , Symer D.E. , Aladjem M.I. , McBride A.A. .
Source: PLoS genetics, 2018 01; 14(1), p. e1007179.
EPub date: 2018-01-24.
PMID: 29364907
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In Vivo Genome Editing Restores Dystrophin Expression and Cardiac Function in Dystrophic Mice.
Authors: El Refaey M. , Xu L. , Gao Y. , Canan B.D. , Adesanya T.M.A. , Warner S.C. , Akagi K. , Symer D.E. , Mohler P.J. , Ma J. , et al. .
Source: Circulation research, 2017-09-29; 121(8), p. 923-929.
EPub date: 2017-08-08.
PMID: 28790199
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Chromatin states shape insertion profiles of the piggyBac, Tol2 and Sleeping Beauty transposons and murine leukemia virus.
Authors: Yoshida J. , Akagi K. , Misawa R. , Kokubu C. , Takeda J. , Horie K. .
Source: Scientific reports, 2017-03-02; 7, p. 43613.
EPub date: 2017-03-02.
PMID: 28252665
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Merkel Cell Polyomavirus Exhibits Dominant Control of the Tumor Genome and Transcriptome in Virus-Associated Merkel Cell Carcinoma.
Authors: Starrett G.J. , Marcelus C. , Cantalupo P.G. , Katz J.P. , Cheng J. , Akagi K. , Thakuria M. , Rabinowits G. , Wang L.C. , Symer D.E. , et al. .
Source: mBio, 2017-01-03; 8(1), .
EPub date: 2017-01-03.
PMID: 28049147
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Synthetic viability by BRCA2 and PARP1/ARTD1 deficiencies.
Authors: Ding X. , Ray Chaudhuri A. , Callen E. , Pang Y. , Biswas K. , Klarmann K.D. , Martin B.K. , Burkett S. , Cleveland L. , Stauffer S. , et al. .
Source: Nature communications, 2016-08-08; 7, p. 12425.
EPub date: 2016-08-08.
PMID: 27498558
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