| Autor: |
Su H, Lu C, Xia Y, Lee Lc, Wu H, Han M, Zhang X, Chen M, Teng H, Tao J, Shao Z, Wang Y, Niu Y, Xiao M, Li X, Song C, Qiu X, Zhang T, Chen G |
| Rok vydání: |
2020 |
| Předmět: |
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| Popis: |
Background: Hepatocellular carcinoma (HCC) is the most serious tumor in the world. It generally undergoes a series of processes from HBV infection, chronic hepatitis, cirrhosis, and HCC from early to late stages. Patients could benefit from early detection of chronic liver diseases (CLD). Tumor-Educated Platelets play an important role in tumor progression, which maybe a potential biomarker for CLD early diagnosis. Here, we developed a noninvasive liquid biopsy technique using platelet RNA for the early screening of patients with liver diseases. Methods: This study included a total of 163 individuals, including 50 healthy individuals, 39 chronic hepatitis B (CHB) patients, 40 liver cirrhosis (LC) and 34 patients with HCC. Blood was collected before initiation of treatment. Platelet RNA-Seq combined with Support Vector Machine (SVM), was used for the first time to distinguish the different stages of CLD in Asian patients.Results: Developed diagnostic model could distinguished with 92.4% accuracy between 34 HCC and 50 healthy, 89.92% accuracy between 34 patients HCC and 129 non-cancer individuals, and 83.67% between 50 healthy and 113 CLD. Across four different individual types, the accuracy of distinction (healthy/chronic hepatitis B/liver cirrhosis/hepatocellular carcinoma) was 65.31%. This model was internally validated, resulting in optimism-corrected AUC's of 86.8%.Conclusions: Our data indicate that the developed platelet RNA-Seq is a valuable platform for the diagnosis of CLD, providing an effective solution for its diagnosis. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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