Svitlana Tyekucheva

Research Scientist
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Research

My statistical research interests lie in developing new, and tailoring existing statistical methods to efficiently process and analyze high-dimensional genomic data. In particular, my areas of interest include applications of dimension reduction, resampling methods, supervised and unsupervised classification, and regression techniques applied to the data arising from cancer studies.  I am interested in methods for all stages of high-throughput data lifecycle: starting from preprocessing and ending with the integrated inference across different studies and data types. My latest interests include analyzing nextgen sequencing and metabolomics data. My research work in statistics and bioinformatics is largely inspired by collaborations with both basic scientists and clinicians.

 

Recent Publications

Cacciatore S, Zadra G, Bango C, Penney KL, Tyekucheva S, Yanes O, Loda M. Metabolic Profiling in Formalin-Fixed and Paraffin-Embedded Prostate Cancer Tissues. Mol Cancer Res. 2017 Apr;15(4):439-447.

 

Kelly RS, Sinnott JA, Rider JR, Ebot EM, Gerke T, Bowden M, Pettersson A, Loda M, Sesso HD, Kantoff PW, Martin NE, Giovannucci EL, Tyekucheva S, Heiden MV, Mucci LA. The role of tumor metabolism as a driver of prostate cancer progression and lethal disease: results from a nested case-control study. Cancer Metab. 2016 Dec 7;4:22. eCollection 2016.

 

Sinnott JA, Peisch SF, Tyekucheva S, Gerke T, Lis R, Rider JR, Fiorentino M, Stampfer MJ, Mucci LA, Loda M, Penney KL. Prognostic Utility of a New mRNA Expression Signature of Gleason Score. Clin Cancer Res. 2017 Jan 1;23(1):81-87.

 

Stopsack KH, Gerke TA, Sinnott JA, Penney KL, Tyekucheva S, Sesso HD, Andersson SO, Andrén O, Cerhan JR, Giovannucci EL, Mucci LA, Rider JR. Cholesterol Metabolism and Prostate Cancer Lethality. Cancer Res. 2016 Aug 15;76(16):4785-90.

 

Bornigen D, Tyekucheva S, Wang X, Rider JR, Lee GS, Mucci LA, Sweeney C, Huttenhower C. Computational Reconstruction of NFκB Pathway Interaction Mechanisms during Prostate Cancer. PLoS Comput Biol. 2016 Apr 14;12(4):e1004820.

 

Cancer Genome Atlas Research Network. The Molecular Taxonomy of Primary Prostate Cancer. Cell. 2015 Nov 5;163(4):1011-25. 

 

Lu D, Sinnott JA, Valdimarsdóttir U, Fang F, Gerke T, Tyekucheva S, Fiorentino M, Lambe M, Sesso HD, Sweeney CJ, Wilson KM, Giovannucci EL, Loda M, Mucci LA, Fall K. Stress-Related Signaling Pathways in Lethal and Nonlethal Prostate Cancer. Clin Cancer Res. 2016 Feb 1;22(3):765-72.

 

Tyekucheva S, Martin NE, Stack EC, Wei W, Vathipadiekal V, Waldron L, Fiorentino M, Lis RT, Stampfer MJ, Loda M, Parmigiani G, Mucci LA, Birrer M. Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues. J Mol Diagn. 2015 Jul;17(4):374-81.

 

Sinnott JA, Rider JR, Carlsson J, Gerke T, Tyekucheva S, Penney KL, Sesso HD, Loda M, Fall K, Stampfer MJ, Mucci LA, Pawitan Y, Andersson SO, Andrén O. Molecular differences in transition zone and peripheral zone prostate tumors. Carcinogenesis. 2015 Jun;36(6):632-8.

 

Penney KL, Sinnott JA, Tyekucheva S, Gerke T, Shui IM, Kraft P, Sesso HD, Freedman ML, Loda M, Mucci LA, Stampfer MJ. Association of prostate cancer risk variants with gene expression in normal and tumor tissue. Cancer Epidemiol Biomarkers Prev. 2015 Jan;24(1):255-60.