Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Hepatology
Tumor Biology And Immune Infiltration Define Primary Liver Cancer Subsets Linked To Overall Survival After Immunotherapy, Anuradha Budhu, Erica C Pehrsson, Aiwu He, Lipika Goyal, Robin Kate Kelley, Hien Dang, Changqing Xie, Cecilia Monge, Mayank Tandon, Lichun Ma, Mahler Revsine, Laura Kuhlman, Karen Zhang, Islam Baiev, Ryan Lamm, Keyur Patel, David E Kleiner, Stephen M Hewitt, Bao Tran, Jyoti Shetty, Xiaolin Wu, Yongmei Zhao, Tsai-Wei Shen, Sulbha Choudhari, Yuliya Kriga, Kris Ylaya, Andrew C Warner, Elijah F Edmondson, Marshonna Forgues, Tim F Greten, Xin Wei Wang
Tumor Biology And Immune Infiltration Define Primary Liver Cancer Subsets Linked To Overall Survival After Immunotherapy, Anuradha Budhu, Erica C Pehrsson, Aiwu He, Lipika Goyal, Robin Kate Kelley, Hien Dang, Changqing Xie, Cecilia Monge, Mayank Tandon, Lichun Ma, Mahler Revsine, Laura Kuhlman, Karen Zhang, Islam Baiev, Ryan Lamm, Keyur Patel, David E Kleiner, Stephen M Hewitt, Bao Tran, Jyoti Shetty, Xiaolin Wu, Yongmei Zhao, Tsai-Wei Shen, Sulbha Choudhari, Yuliya Kriga, Kris Ylaya, Andrew C Warner, Elijah F Edmondson, Marshonna Forgues, Tim F Greten, Xin Wei Wang
Kimmel Cancer Center Faculty Papers
Primary liver cancer is a rising cause of cancer deaths in the US. Although immunotherapy with immune checkpoint inhibitors induces a potent response in a subset of patients, response rates vary among individuals. Predicting which patients will respond to immune checkpoint inhibitors is of great interest in the field. In a retrospective arm of the National Cancer Institute Cancers of the Liver: Accelerating Research of Immunotherapy by a Transdisciplinary Network (NCI-CLARITY) study, we use archived formalin-fixed, paraffin-embedded samples to profile the transcriptome and genomic alterations among 86 hepatocellular carcinoma and cholangiocarcinoma patients prior to and following immune checkpoint inhibitor treatment. …
Patient-Specific Genome-Scale Metabolic Models For Individualized Predictions Of Liver Disease, Alexandra Manchel, Jan B. Hoek, Ramon Bataller, Radhakrishnan Mahadevan, Rajanikanth Vadigepalli
Patient-Specific Genome-Scale Metabolic Models For Individualized Predictions Of Liver Disease, Alexandra Manchel, Jan B. Hoek, Ramon Bataller, Radhakrishnan Mahadevan, Rajanikanth Vadigepalli
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
The prevalence of liver disease is steadily increasing, coupled with the limited availability of therapeutic treatments. Recent literature points to metabolic reprogramming as a key feature of liver failure. Hence, we sought to uncover the metabolic pathways and mechanisms associated with liver disease and acute liver failure. We generated patient-specific genome scale metabolic models by integrating RNA-seq data from patient liver samples with a generalized human metabolic model. Flux balance analysis simulations showed a distinct separation of non-alcohol associated and alcohol-associated disease states. Our analysis suggests that the alcohol associated liver has an increased flux through nucleotide and glycerophospholipid metabolic …