and Systems Biology,
UPMC Hillman Cancer Center,
University of Pittsburgh,
Research Pavilion, Suite 2.6f
5117 Centre Avenue
Pittsburgh, PA 15213
Email: shf28 AT pitt DOT edu
Ph (O): (412) 623-7986
Fax: (412) 623-7761
Department of Computational and Systems Biology,
UPMC Hillman Cancer Center, Cancer Biology Program,
University of Pittsburgh, Pittsburgh, PA, United States.
Cancer is a disease with multi-factorial etiology. Our interest in cancer research lies in overcoming the twin challenges of characterizing and understanding this multi-factorial complexity in pre-cancerous lesions and cancerous tumors using a systems biology and biomedical engineering framework. We are particularly interested in developing discovery-based and hypothesis-driven systems and methods to deconstruct the heterogeneity of tumor microenvironments of solid cancers, and help translate that understanding to the clinic. We have a hybrid wet/dry lab setup, and our work draws from diverse disciplines including cancer biology; bioimaging and image analysis; machine learning and bioinformatics; and physics and mathematics.
R. M. Brand, B. A. Moore, A. Zyhowski, A. Siegel, S. Uttam, E. J. Metter, J. Engstrom, R. E. Brand, N. Biswas, D. C. Whitcomb, D. G. Binion, M. Schwartz, I. McGowan,
Tofacitinib inhibits inflammatory cytokines from ulcerative colitis and healthy mucosal explants and is associated with p-STAT1/3 reduction in T-cells, Am. J. Physiol. Gastrointest. Liver Physiol. (2020/2021). [in press]
R. Das, K. McGrath, N. Seiser, K. Smith, S. Uttam, R. E. Brand, K. E. Fasanella, A. Khalid, J. S. Chennat, S. Sarkaria, H. Singh, A. Slivka, H. J. Zeh, A. H. Zureikat, M. E. Hogg, K. K. Lee, A. Paniccia, M. C. Ongchin, J. F. Pingpank, B. A. Boone, A. K. Dasyam, N. Bahary, V. C. Gorantla, J. C. Rhee, R. Thomas, S. Ellsworth, M. S. Landau, N. Paul Ohori, P. Henn, S. Shyu, B. K. Theisen, A. D. Singhi,
Tumor Size Differences Between Preoperative Endoscopic Ultrasound and Postoperative Pathology for Neoadjuvant-Treated Pancreatic Ductal Adenocarcinoma Predict Patient Outcome, Clin. Gastroenterol. Hepatol. (2020/2021). [in press]
Sampling and scrambling in compressive sensing based spectral domain optical coherence tomography, JTu2F.7, CLEO (2020). [link]
S. Uttam, A. M. Stern, S. Furman, F. Pullara, D. Spagnolo, L. Nguyen, A. H Gough, C. Sevinsky, F. Ginty, D. L. Taylor, S. C. Chennubhotla,
A spatial analytics computational and systems biology platform predicts risk of colorectal cancer recurrence and identifies emergent spatial domain networks associated with recurrence, Nat. Commun.; 1:3515 (2020). [link]
S. Uttam, J. G. Hashash, J. LaFace, D. Binion, M. Regueiro, D. J. Hartman, R. E. Brand, and Y. Liu,
Three-dimensional nanoscale nuclear architecture mapping detects the presence of colorectal neoplasia in patients with inflammatory bowel disease colitis from rectal biopsies, Cancer Prev. Res.,12(8) 527-538 (2019). [link]
It was invited to be featured on the cover of the August 1, 2019 issue of Cancer Prevention Research (AACR).
S. Uttam and Y. Liu
Three-dimensional nanoscale nuclear architecture mapping for improved cancer risk stratification, SPIE/OSA European Conferences on Biomedical Optics (ECBO) 2019, 23-27 June 2019, Munich, Germany; Paper 11076-38 (2019).
E. Fouquerel, R. Barnes, S. Uttam, S. Watkins, M. Bruchez, and P. L. Opresko,
Chronic oxidative guanine base damage at telomeres induces telomere crisis, Molecular Cell; 75(1): 117-130 (2019).
S. Uttam, A.M. Stern, S. A. Furman, F. Pullara, F. Ginty, D. L. Taylor, S. C. Chennubhotla,
Spatial proteomics with hyperplexed fluorescence imaging predicts risk of colorectal cancer recurrence and infers recurrence-specific protein-protein networks. Cancer Res; 79 (13 Supplement): 1642 (2019). [AACR Annual Meeting 2019, March 29-April 3 2019, Atlanta, Georgia].
J. Xu, H. Ma, J. Jin, S. Uttam, R. Fu, Y. Huang, and Y. Liu, “Super-resolution imaging of higher-order chromatin structures at different epigenetic states in single mammalian cells,” Cell Reports; 24(4): 873-882 (2018).