Pathology & Laboratory Medicine

Publications

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2021

Kim D, Alperstein SA, Siddiqui MT. Standardizing a volume benchmark for cerebrospinal fluids for optimal diagnostic accuracy. Diagn Cytopathol. 2021;49(2):258-266.

Iyengar NM, Zhou XK, Mendieta H, El-Hely O, Giri DD, Winston L, et al. Effects of obesity on breast aromatase expression and systemic metabo-inflammation in women with BRCA1 or BRCA2 mutations. NPJ Breast Cancer. 2021;7(1):18.

Wang TZ, Simon MS, Westblade LF, Saiman L, E Furuya Y, Calfee DP. Quantitative characterization of high-touch surfaces in emergency departments and hemodialysis facilities. Infect Control Hosp Epidemiol. 2021;42(4):474-476.

Jacob RP, Flynn J, Devlin SM, Maloy M, Giralt SA, Maslak P, et al. Universal Engraftment after Allogeneic Hematopoietic Cell Transplantation Using Cryopreserved CD34-Selected Grafts. Transplant Cell Ther. 2021;27(8):697.e1-697.e5.

Manning DK, Shivdasani P, Koeller DR, Schwartz A, Rana HQ, Garber JE, et al. Assessment of genomic alterations in non-syndromic von Hippel-Lindau: Insight from integrating somatic and germline next generation sequencing genomic data. Data Brief. 2021;39:107653.

Moskowitz AJ, Ghione P, Jacobsen E, Ruan J, Schatz JH, Noor S, et al. A phase 2 biomarker-driven study of ruxolitinib demonstrates effectiveness of JAK/STAT targeting in T-cell lymphomas. Blood. 2021;138(26):2828-2837.

Perez VA, Husain S, Magro CM, Strom MA, Williams KM, Levin LE. A newly described cutaneous reaction at sites of insulin pump use in a child with Type 1 diabetes. Pediatr Dermatol. 2021;38(1):239-241.

Jesser EA, Brady NJ, Huggins DN, Witschen PM, O'Connor CH, Schwertfeger KL. STAT5 is activated in macrophages by breast cancer cell-derived factors and regulates macrophage function in the tumor microenvironment. Breast Cancer Res. 2021;23(1):104.

Shohdy KS, Bareja R, Sigouros M, Wilkes DC, Dorsaint P, Manohar J, et al. Functional comparison of exome capture-based methods for transcriptomic profiling of formalin-fixed paraffin-embedded tumors. NPJ Genom Med. 2021;6(1):66.

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.