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Risk Stratification of Prostate Cancer Through Quantitative Assessment of PTEN Loss (qPTEN).
Jamaspishvili T, Patel PG, Niu Y, Vidotto T, Caven I, Livergant R, Fu W, Kawashima A, How N, Okello JB, Guedes LB, Ouellet V, Picanço C, Koti M, Reis RB, Saad F, Mes-Masson AM, Lotan TL, Squire JA, Peng YP, Siemens DR, Berman DM. Jamaspishvili T, et al. Among authors: vidotto t. J Natl Cancer Inst. 2020 Nov 1;112(11):1098-1104. doi: 10.1093/jnci/djaa032. J Natl Cancer Inst. 2020. PMID: 32129857 Free PMC article.
High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts.
Harmon SA, Patel PG, Sanford TH, Caven I, Iseman R, Vidotto T, Picanço C, Squire JA, Masoudi S, Mehralivand S, Choyke PL, Berman DM, Turkbey B, Jamaspishvili T. Harmon SA, et al. Among authors: vidotto t. Mod Pathol. 2021 Feb;34(2):478-489. doi: 10.1038/s41379-020-00674-w. Epub 2020 Sep 3. Mod Pathol. 2021. PMID: 32884130 Free PMC article.
In prostate cancer needle biopsies, detections of PTEN loss by fluorescence in situ hybridization (FISH) and by immunohistochemistry (IHC) are concordant and show consistent association with upgrading.
Picanço-Albuquerque CG, Morais CL, Carvalho FL, Peskoe SB, Hicks JL, Ludkovski O, Vidotto T, Fedor H, Humphreys E, Han M, Platz EA, De Marzo AM, Berman DM, Lotan TL, Squire JA. Picanço-Albuquerque CG, et al. Among authors: vidotto t. Virchows Arch. 2016 May;468(5):607-17. doi: 10.1007/s00428-016-1904-2. Epub 2016 Feb 9. Virchows Arch. 2016. PMID: 26861919
25 results