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Gautam, Prson

0000-0002-1154-8501

Mayo Clinic

Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.

Citations 2

Defining the KRAS- and ERK-dependent transcriptome in KRAS-mutant cancers
Klomp, Jennifer E. , Stalnecker, Clint A. , Bryant, Kirsten L. , Edwards, A. Cole , Drizyte‐Miller, Kristina , Hibshman, Priya S. , Diehl, J. Nathaniel , Lee, Ye S. , Morales, Alexis Jean , Taylor, Khalilah E. , Peng, Sen, Tran, Nhan L. , Prevatte, Alex W., Hover, Laura D. , Hallin, Jill , Chowdhury, Saikat , Coker, Oluwadara , Olson, Peter , Christensen, James G. , Graves, Lee M. , Wennerberg, Krister , Klomp, Jeffrey A , Klomp, Jennifer E , Stalnecker, Clint A , Bryant, Kirsten L , Drizyte-Miller, Kristina , Diehl, J Nathaniel , Lee, Ye S , Morales, Alexis J , Taylor, Khalilah E , Herring, Laura E , Barker, Natalie K , Hallin, Jill , Chowdhury, Saikat , Coker, Oluwadara , Lee, Hey Min , Goodwin, Craig M , Gautam, Prson , Olson, Peter , Christensen, James G , Shen, John P , Kopetz, Scott , Graves, Lee M , Lim, Kian-Huat , Wang-Gillam, Andrea , Wennerberg, Krister , Cox, Adrienne D , Der, Channing J , Tran, Nhan L , Herring, Laura E. , Barker, Natalie K. , Gautam, Prson , Kopetz, Scott , Wang‐Gillam, Andrea , Cox, Adrienne D.

Science | June 6, 2024 | Volume: 384 | Issue: 6700 | Pages: No page available

10.1126/science.adk0775 Get It

How the KRAS oncogene drives cancer growth remains poorly understood. Therefore, we established a systemwide portrait of KRAS- and extracellular signal–regulated kinase (ERK)–dependent gene transcription in KRAS-mutant cancer to delineate the molecular mechanisms of growth and of inhibitor resistance. Unexpectedly, our KRAS-dependent gene signature diverges substantially from the frequently cited Hallmark KRAS signaling gene signature, is driven predominantly through the ERK mitogen-activated protein kinase (MAPK) cascade, and accurately reflects KRAS- and ERK-regulated gene transcription in KRAS-mutant cancer patients. Integration with our ERK-regulated phospho- and total proteome highlights ERK deregulation of the anaphase promoting complex/cyclosome (APC/C) and other components of the cell cycle machinery as key processes that drive pancreatic ductal adenocarcinoma (PDAC) growth. Our findings elucidate mechanistically the critical role of ERK in driving KRAS-mutant tumor growth and in resistance to KRAS-ERK MAPK targeted therapies.
Genomic perturbations reveal distinct regulatory networks in intrahepatic cholangiocarcinoma
Nepal, Chirag , O’Rourke, Colm J. , Oliveira, Douglas V.N.P. , Taranta, A , Shema, Steven , Gautam, Prson , Caldéraro, Julien , Barbour, Andrew P. , Wennerberg, Krister , Wang, Xin Wei , Lautem, Anja , Roberts, Lewis R. , Andersen, Jesper B. , Roberts, Lewis R , Andersen, Jesper B , Wei Wang, Xin , Raggi, Chiara , Gautam, Prson , Wennerberg, Krister

Hepatology | December 26, 2017 | Volume: 68 | Issue: 3 | Pages: 949-963

10.1002/hep.29764 Get It

Intrahepatic cholangiocarcinoma remains a highly heterogeneous malignancy that has eluded effective patient stratification to date. The extent to which such heterogeneity can be influenced by individual driver mutations remains to be evaluated. Here, we analyzed genomic (whole‐exome sequencing, targeted exome sequencing) and epigenomic data from 496 patients and used the three most recurrently mutated genes to stratify patients ( IDH , KRAS , TP53 , “undetermined”). Using this molecular dissection approach, each subgroup was determined to possess unique mutational signature preferences, comutation profiles, and enriched pathways. High‐throughput drug repositioning in seven patient‐matched cell lines, chosen to reflect the genetic alterations specific for each patient group, confirmed in silico predictions of subgroup‐specific vulnerabilities linked to enriched pathways. Intriguingly, patients lacking all three mutations (“undetermined”) harbored the most extensive structural alterations, while isocitrate dehydrogenase mutant tumors displayed the most extensive DNA methylome dysregulation, consistent with previous findings. Conclusion : Stratification of intrahepatic cholangiocarcinoma patients based on occurrence of mutations in three classifier genes ( IDH , KRAS , TP53 ) revealed unique oncogenic programs (mutational, structural, epimutational) that influence pharmacologic response in drug repositioning protocols; this genome dissection approach highlights the potential of individual mutations to induce extensive molecular heterogeneity and could facilitate advancement of therapeutic response in this dismal disease. (H epatology 2018).