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Full-Text Articles in Medicine and Health Sciences
Keratin 17 Is A Prognostic And Predictive Biomarker In Pancreatic Ductal Adenocarcinoma, Lyanne Delgado-Coka, Lucia Roa-Peña, Sruthi Babu, Michael Horowitz, Emanuel Petricoin, Lynn Matrisian, Edik Blais, Natalia Marchenko, Felicia Allard, Ali Akalin, Wei Jiang, Md, Phd, Brent Larson, Andrew Hendifar, Vincent Picozzi, Minsig Choi, Kenneth Shroyer, Luisa Escobar-Hoyos
Keratin 17 Is A Prognostic And Predictive Biomarker In Pancreatic Ductal Adenocarcinoma, Lyanne Delgado-Coka, Lucia Roa-Peña, Sruthi Babu, Michael Horowitz, Emanuel Petricoin, Lynn Matrisian, Edik Blais, Natalia Marchenko, Felicia Allard, Ali Akalin, Wei Jiang, Md, Phd, Brent Larson, Andrew Hendifar, Vincent Picozzi, Minsig Choi, Kenneth Shroyer, Luisa Escobar-Hoyos
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
OBJECTIVES: To determine the role of keratin 17 (K17) as a predictive biomarker for response to chemotherapy by defining thresholds of K17 expression based on immunohistochemical tests that could be used to optimize therapeutic intervention for patients with pancreatic ductal adenocarcinoma (PDAC).
METHODS: We profiled K17 expression, a hallmark of the basal molecular subtype of PDAC, by immunohistochemistry in 2 cohorts of formalin-fixed, paraffin-embedded PDACs (n = 305). We determined a K17 threshold of expression to optimize prognostic stratification according to the lowest Akaike information criterion and explored the potential relationship between K17 and chemoresistance by multivariate predictive analyses.
RESULTS: …
Integrated Transcriptomics And Histopathology Approach Identifies A Subset Of Rejected Donor Livers With Potential Suitability For Transplantation, Ankita Srivastava, Alexandra Manchel, John Waters, Manju Ambelil, Benjamin K. Barnhart, Jan B. Hoek, Ashesh P. Shah, Rajanikanth Vadigepalli
Integrated Transcriptomics And Histopathology Approach Identifies A Subset Of Rejected Donor Livers With Potential Suitability For Transplantation, Ankita Srivastava, Alexandra Manchel, John Waters, Manju Ambelil, Benjamin K. Barnhart, Jan B. Hoek, Ashesh P. Shah, Rajanikanth Vadigepalli
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
BACKGROUND: Liver transplantation is an effective treatment for liver failure. There is a large unmet demand, even as not all donated livers are transplanted. The clinical selection criteria for donor livers based on histopathological evaluation and liver function tests are variable. We integrated transcriptomics and histopathology to characterize donor liver biopsies obtained at the time of organ recovery. We performed RNA sequencing as well as manual and artificial intelligence-based histopathology (10 accepted and 21 rejected for transplantation).
RESULTS: We identified two transcriptomically distinct rejected subsets (termed rejected-1 and rejected-2), where rejected-2 exhibited a near-complete transcriptomic overlap with the accepted livers, …