Pathology & Laboratory Medicine

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2022

Haigh DB, Woodcock CL, Lothion-Roy J, Harris AE, Metzler VM, Persson JL, et al. The METTL3 RNA Methyltransferase Regulates Transcriptional Networks in Prostate Cancer. Cancers (Basel). 2022;14(20).

Abdallah R, Khalil A, Ghunaim S, Housheimi AE, Khalife D, Sassine D, et al. The accuracy and clinical impact of intraoperative frozen section in determining the extent of surgical intervention in patients with early stage endometrial cancer. J Obstet Gynaecol. 2022;42(5):1474-1481.

Weinberg OK, Siddon A, Madanat YF, Gagan J, Arber DA, Dal Cin P, et al. TP53 mutation defines a unique subgroup within complex karyotype de novo and therapy-related MDS/AML. Blood Adv. 2022;6(9):2847-2853.

Rosenthal J, Carelli R, Omar M, Brundage D, Halbert E, Nyman J, et al. Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology. Mol Cancer Res. 2022;20(2):202-206.

Geizhals S, Magro CM, Lipner SR. Dermatoscopy of Onychomatricoma: Tortuous Hairpin Vessels. Skinmed. 2022;20(6):444.

Stover EH, Oh C, Keskula P, Choudhury AD, Tseng Y-, Adalsteinsson VA, et al. Implementation of a prostate cancer-specific targeted sequencing panel for credentialing of patient-derived cell lines and genomic characterization of patient samples. Prostate. 2022;82(5):584-597.

Jang J-, Hwang I, Pan H, Yao J, Alinari L, Imada E, et al. A FOXO1-dependent transcription network is a targetable vulnerability of mantle cell lymphomas. J Clin Invest. 2022;132(24).

De La Vega LL, Comeau H, Sallan S, Al-Ibraheemi A, Gupta H, Li YY, et al. Rare FGFR Oncogenic Alterations in Sequenced Pediatric Solid and Brain Tumors Suggest FGFR Is a Relevant Molecular Target in Childhood Cancer. JCO Precis Oncol. 2022;6:e2200390.

Boyraz B, Tajiri R, Alwaqfi RR, Paula AD, Ye Q, G Nielsen P, et al. Vulvar angiomyofibroblastoma is molecularly defined by recurrent MTG1-CYP2E1 fusions. Histopathology. 2022;81(6):841-846.

Liechty B, Xu Z, Zhang Z, Slocum C, Bahadir CD, Sabuncu MR, et al. Machine learning can aid in prediction of IDH mutation from H&E-stained histology slides in infiltrating gliomas. Sci Rep. 2022;12(1):22623.