Computer analysis of regulation of hepatocarcinoma marker genes hypermethylated by HCV proteins by E. A. Antropova, T. M. Khlebodarova, P. S. Demenkov, A. S. Venzel, N. V. Ivanisenko, A.  D.  Gavrilenko, T.  V. Ivanisenko, A. V. Adamovskaya, P. M. Revva, I. N. Lavrik, V. A. Ivanisenko

“…Analysis of the reconstructed pathways has demonstrated that following the transcription factor inhibition caused by binding to viral proteins, the expression of a number of oncosuppressors (WT1, MGMT, SOCS1, P53) was suppressed, while the expression of others (RASF1, RUNX3, WIF1, DAPK1) was activated. …”
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High p16INK4A expression in glioblastoma is associated with senescence phenotype and better prognosis by Soon Sang Park, Tae Hoon Roh, Yoshiaki Tanaka, Young Hwa Kim, So Hyun Park, Tae-Gyu Kim, So Yeong Eom, Tae Jun Park, In-Hyun Park, Se-Hyuk Kim, Jang-Hee Kim

“…Previous studies have identified a few prognostic markers for GBM, including the methylation status of O6-methylguanine-DNA methyltransferase (MGMT) promoter, TERT promoter mutation, EGFR amplification, and CDKN2A/2B deletion. …”
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Glioma Image-Level and Slide-Level Gene Predictor (GLISP) for Molecular Diagnosis and Predicting Genetic Events of Adult Diffuse Glioma by Minh-Khang Le, Masataka Kawai, Kenta Masui, Takashi Komori, Takakazu Kawamata, Yoshihiro Muragaki, Tomohiro Inoue, Ippei Tahara, Kazunari Kasai, Tetsuo Kondo

“…Using the concept of multiple-instance learning, we developed an AI framework named GLioma Image-level and Slide-level gene Predictor (GLISP) to predict nine genetic abnormalities in hematoxylin and eosin sections: <i>IDH1/2</i>, <i>ATRX</i>, <i>TP53</i> mutations, <i>TERT</i> promoter mutations, <i>CDKN2A/B</i> homozygous deletion (CHD), <i>EGFR</i> amplification (<i>EGFR</i>amp), 7 gain/10 loss (7+/10−), 1p/19q co-deletion, and <i>MGMT</i> promoter methylation. GLISP consists of a pair of patch-level GLISP-P and patient-level GLISP-W models, each pair of which is for a genetic prediction task, providing flexibility in clinical utility. …”
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