Dr. KHYATI SHAH
 
 
First Name
KHYATI
Last Name
SHAH
University/Institution
Email ID
shah.khyati231@gmail.com
City
SAN FRANCISCO
Country
United States
State
California
Zip code
94158
Department
Bioengineering and therapeutic Science
Area of Research
Translational oncology for targeted therapy, Drug Resistance and tumor evolution
Area of Expertise
Lung cancer, breast cancer, targeted therapy, tumor microenvironment
Brief Description of Research Interest:
 

My primary research goal is to define evolutionary dependencies in drug resistance. Using multiplexed proteomic and genomic measurements, high-throughput microscopy, single-cell analysis, and multi-scale modeling, at a single-cell level, I am delineating molecular mechanisms that underlie adaptive cell fate decisions in the presence of cell-autonomous, microenvironment, and therapy-induced selective pressures, and elucidate how they vary in cancer drug resistance. With learning of evolutionary dependencies using a detailed and network-level understanding, we provide a rational basis for choosing the optimal molecular targets to: (i) maximize therapeutic response, (ii) prevent therapeutic resistance, and (iii) reduce therapy-induced adverse effects.

Deep Expertise: Protein-protein interaction, Therapeutic Resistance, RNA-seq, single cell genomic and proteomic techniques and cancer metastasis.

 
Representative Publications:
 

Shah KN, Bandyopadhyay S. Targeting the evolution of drug resistance in lung cancer, Molecular and cellular oncology Available online May 23rd, 2019 


Shah KN, Bhatt R,Rotow J, Rohrberg J , Olivas V, Wang VE,Hemmati G,  Martins MM,Maynard M, Kuhn J, Galeas J, Donnella H,Kaushik S,  Ku A,Dumont S, Krings G, Haringsma HJ, Robillard L,Simmons AD, Harding TC, McCormick F, Goga A, Blakely CM, Bivona TG, Bandyopadhyay S. Aurorakinase A drives the evolution of resistance to third generation EGFR inhibitorsin lung cancer Nat Med. 2019; 25(1):111-118


Donnella HJ, Webber JT, Camarda R, Momcilovic O, Bayani R, Shah KN,Shokat KM, Goga A, Gordon JD, Bandyopadhyay S. Kinome rewiring reveals AURKA limits PI3K-pathway inhibitor efficacy in breast cancer, Nature Chemical Biology 14 (8), 768: 2018


Hu HM, Shah KN, Bandyopadhyay S et.al. A quantitative chemotherapygenetic interaction map reveals factors associated with PARP inhibitor resistance. Cell reports 23 (3),918-929: 2018


Shah KN, Faridi JS et.al, Targeting RRM2 and NF-κB activation with didox to circumvent tamoxifen resistance in breast cancer. Mol Cancer Ther.2015; 14(11): 2411-21


Shah KN, Mehta K, Peterson D, Evangelista,M, Livesey J, Faridi JS, Akt-Induced tamoxifen resistance is reversed by RRM2 inhibition, Mol Cancer Res.2014; 12(3): 394-407


Shah KN, Faridi JS, Estrogen, tamoxifen, and Akt modulate expression of putative house-keeping genes in breast cancer cells.J Steroid Biochem Mol Biol.2011; 125(3-5): 219-25