Pathology & Laboratory Medicine

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2021

Castrodad-Rodríguez CA, Choudhuri J, El-Jabbour T, Cheng J, Westerhoff M, Panarelli NC. Clinical significance of pathologic abnormalities in biopsy samples from the appendiceal orifice. Histopathology. 2021;79(5):751-757.

Fontan L, Goldstein R, Casalena G, Durant M, Teater MR, Wilson J, et al. Identification of MALT1 feedback mechanisms enables rational design of potent antilymphoma regimens for ABC-DLBCL. Blood. 2021;137(6):788-800.

Vicier C, Ravi P, Kwak L, Werner L, Huang Y, Evan C, et al. Association between CD8 and PD-L1 expression and outcomes after radical prostatectomy for localized prostate cancer. Prostate. 2021;81(1):50-57.

Cazer CL, Westblade LF, Simon MS, Magleby R, Castanheira M, Booth JG, et al. Analysis of Multidrug Resistance in Staphylococcus aureus with a Machine Learning-Generated Antibiogram. Antimicrob Agents Chemother. 2021;65(4).

Shigeta S, Lui GY, Shaw R, Moser R, Gurley KE, Durenberger G, et al. Targeting BET Proteins BRD2 and BRD3 in Combination with PI3K-AKT Inhibition as a Therapeutic Strategy for Ovarian Clear Cell Carcinoma. Mol Cancer Ther. 2021;20(4):691-703.

Deng J, Thennavan A, Dolgalev I, Chen T, Li J, Marzio A, et al. ULK1 inhibition overcomes compromised antigen presentation and restores antitumor immunity in LKB1 mutant lung cancer. Nat Cancer. 2021;2(5):503-514.

Pikman Y, Tasian SK, Sulis ML, Stevenson K, Blonquist TM, Winger BA, et al. Matched Targeted Therapy for Pediatric Patients with Relapsed, Refractory, or High-Risk Leukemias: A Report from the LEAP Consortium. Cancer Discov. 2021;11(6):1424-1439.

Gao J, Fu L, Lu X, Sukhanova M, Frankfurt O, Mohtashamian A, et al. Mast cell sarcoma transdifferentiated from clonally-related T-lymphoblastic leukemia upon acquisition of mutation and genetic complexity. Leuk Lymphoma. 2021:1-4.

Racine-Brzostek SE, Karbaschi M, Gaebler C, Klasse PJ, Yee J, Caskey M, et al. TOP-Plus is a Versatile Biosensor Platform for Monitoring SARS-CoV-2 Antibody Durability. medRxiv. 2021.

Ikemura K, Bellin E, Yagi Y, Billett H, Saada M, Simone K, et al. Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study. J Med Internet Res. 2021;23(2):e23458.