Pathology & Laboratory Medicine

Publications

Filter By Faculty

Filter by Principal Investigator

2021

Oweida AJ, Mueller AC, Piper M, Milner D, Van Court B, Bhatia S, et al. Response to radiotherapy in pancreatic ductal adenocarcinoma is enhanced by inhibition of myeloid-derived suppressor cells using STAT3 anti-sense oligonucleotide. Cancer Immunol Immunother. 2021;70(4):989-1000.

Stupnikov A, Sizykh A, Budkina A, Favorov A, Afsari B, Wheelan S, et al. Hobotnica: exploring molecular signature quality. F1000Res. 2021;10:1260.

Cacciatore S, Wium M, Licari C, Ajayi-Smith A, Masieri L, Anderson C, et al. Inflammatory metabolic profile of South African patients with prostate cancer. Cancer Metab. 2021;9(1):29.

Nuovo GJ, Magro C, Shaffer T, Awad H, Suster D, Mikhail S, et al. Endothelial cell damage is the central part of COVID-19 and a mouse model induced by injection of the S1 subunit of the spike protein. Ann Diagn Pathol. 2021;51:151682.

Baquero J, Tang X-, Scognamiglio T, Gudas LJ. EZH2 Knockout in Oral Cavity Basal Epithelia Causes More Invasive Squamous Cell Carcinomas. Carcinogenesis. 2021.

Rijo MP, Diani-Moore S, Yang C, Zhou P, Rifkind AB. Roles of the ubiquitin ligase CUL4B and ADP-ribosyltransferase TiPARP in TCDD-induced nuclear export and proteasomal degradation of the transcription factor AHR. J Biol Chem. 2021;297(2):100886.

Rendeiro AF, Vorkas CK, Krumsiek J, Singh HK, Kapadia SN, Cappelli LV, et al. Metabolic and Immune Markers for Precise Monitoring of COVID-19 Severity and Treatment. Front Immunol. 2021;12:809937.

Stephens EA, Ludwicki MB, Meksiriporn B, Li M, Ye T, Monticello C, et al. Engineering Single Pan-Specific Ubiquibodies for Targeted Degradation of All Forms of Endogenous ERK Protein Kinase. ACS Synth Biol. 2021;10(9):2396-2408.

Centenera MM, Scott JS, Machiels J, Nassar ZD, Miller DC, Zinonos I, et al. ELOVL5 Is a Critical and Targetable Fatty Acid Elongase in Prostate Cancer. Cancer Res. 2021;81(7):1704-1718.

Showalter K, Spiera R, Magro C, Agius P, Martyanov V, Franks JM, et al. Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement. Ann Rheum Dis. 2021;80(2):228-237.