Pathology & Laboratory Medicine

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2021

Huang J, Linares JF, Duran A, Xia W, Saltiel AR, Müller TD, et al. NBR1 is a critical step in the repression of thermogenesis of p62-deficient adipocytes through PPARγ. Nat Commun. 2021;12(1):2876.

Wang SA, Ok CY, Kim AS, Lucas F, Morgan EA, Thakral B, et al. Myelodysplastic syndromes with no somatic mutations detected by next-generation sequencing display similar features to myelodysplastic syndromes with detectable mutations. Am J Hematol. 2021;96(11):E420-E423.

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.

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.

Zanettini C, Omar M, Dinalankara W, Imada EL, Colantuoni E, Parmigiani G, et al. Influenza Vaccination and COVID-19 Mortality in the USA: An Ecological Study. Vaccines (Basel). 2021;9(5).

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.

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.