Pathology & Laboratory Medicine

Publications

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2022

Webster AL, Sanders MA, Patel K, Dietrich R, Noonan RJ, Lach FP, et al. Genomic signature of Fanconi anaemia DNA repair pathway deficiency in cancer. Nature. 2022;612(7940):495-502.

Marzio A, Kurz E, Sahni JM, Di Feo G, Puccini J, Jiang S, et al. EMSY inhibits homologous recombination repair and the interferon response, promoting lung cancer immune evasion. Cell. 2022;185(1):169-183.e19.

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).

Melanson SE, Zhao Z, Kumanovics A, Love T, Meng QH, Wu AH, et al. Tolerance for three commonly administered COVID-19 vaccines by healthcare professionals. Front Public Health. 2022;10:975781.

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.

Cyrta J, Prandi D, Arora A, Hovelson DH, Sboner A, Rodriguez A, et al. Comparative genomics of primary prostate cancer and paired metastases: insights from 12 molecular case studies. J Pathol. 2022;257(3):274-284.

Adhikari S, Guha D, Mohan C, Mukherjee S, Tyler JK, Das C. Reprogramming Carbohydrate Metabolism in Cancer and Its Role in Regulating the Tumor Microenvironment. Subcell Biochem. 2022;100:3-65.

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.

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.

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.