Serum fusion transcripts to assess the risk of hepatocellular carcinoma and the impact of cancer treatment through machine learning
In this study, a panel of 9 fusion transcripts in the serum samples from 136 individuals using TaqMan qRT-PCR was analyzed. Seven fusion genes were frequently detected in the serum samples of HCC patients, including MAN2A1-FER (100%), SLC45A2-AMACR (62.3%), ZMPSTE24-ZMYM4 (62.3%), PTEN-NOLC1 (57.4%), CCNH-C5orf30 (55.7%), STAMBPL1-FAS (26.2%) and PCMTD1-SNTG1 (16.4%).
Source: American Journal of Pathology - Category: Pathology Authors: Yan-Ping Yu, Silvia Liu, David Geller, Jian-Hua Luo Tags: Regular Article Source Type: research
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