Pathology & Laboratory Medicine

Publications

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2017

Meliti A, Sadimin E, Diolombi M, Khani F, Epstein JI. Accuracy of Grading Gleason Score 7 Prostatic Adenocarcinoma on Needle Biopsy: Influence of Percent Pattern 4 and Other Histological Factors. Prostate. 2017;77(6):681-685.

Ely S, Forsberg P, Ouansafi I, Rossi A, Modin A, Pearse R, et al. Cellular Proliferation by Multiplex Immunohistochemistry Identifies High-Risk Multiple Myeloma in Newly Diagnosed, Treatment-Naive Patients. Clin Lymphoma Myeloma Leuk. 2017;17(12):825-833.

Cushing MM, Fitzgerald MM, Harris RM, Asmis LM, Haas T. Influence of cryoprecipitate, Factor XIII, and fibrinogen concentrate on hyperfibrinolysis. Transfusion. 2017;57(10):2502-2510.

Mereu E, Pellegrino E, Scarfò I, Inghirami G, Piva R. The heterogeneous landscape of ALK negative ALCL. Oncotarget. 2017;8(11):18525-18536.

Abate F, da Silva-Almeida AC, Zairis S, Robles-Valero J, Couronne L, Khiabanian H, et al. Activating mutations and translocations in the guanine exchange factor VAV1 in peripheral T-cell lymphomas. Proc Natl Acad Sci U S A. 2017;114(4):764-769.

Calvert AE, Chalastanis A, Wu Y, Hurley LA, Kouri FM, Bi Y, et al. Cancer-Associated IDH1 Promotes Growth and Resistance to Targeted Therapies in the Absence of Mutation. Cell Rep. 2017;19(9):1858-1873.

Brown KA, Iyengar NM, Zhou XK, Gucalp A, Subbaramaiah K, Wang H, et al. Menopause Is a Determinant of Breast Aromatase Expression and Its Associations With BMI, Inflammation, and Systemic Markers. J Clin Endocrinol Metab. 2017;102(5):1692-1701.

Taatjes DJ, Bouffard N, von Turkovich M, Quinn AS, Wu X-, Vasovic LV, et al. Visualization of macro-immune complexes in the antiphospholipid syndrome by multi-modal microscopy imaging. Micron. 2017;100:23-29.

Blattner M, Liu D, Robinson BD, Huang D, Poliakov A, Gao D, et al. SPOP Mutation Drives Prostate Tumorigenesis In Vivo through Coordinate Regulation of PI3K/mTOR and AR Signaling. Cancer Cell. 2017;31(3):436-451.

Meehan TF, Conte N, Goldstein T, Inghirami G, Murakami MA, Brabetz S, et al. PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models. Cancer Res. 2017;77(21):e62-e66.