放射基因组学
医学
无线电技术
胰腺癌
胰腺导管腺癌
肿瘤科
生物标志物
内科学
免疫组织化学
癌症
癌症研究
生物信息学
生物
放射科
遗传学
作者
Yosuke Iwatate,Isamu Hoshino,Hajime Yokota,Fumitaka Ishige,Makiko Itami,Yoshihide Mori,Shuichi Chiba,Hidehito Arimitsu,Hiroo Yanagibashi,Hiroki Nagase,Wataru Takayama
标识
DOI:10.1038/s41416-020-0997-1
摘要
Radiogenomics is an emerging field that integrates "Radiomics" and "Genomics". In the current study, we aimed to predict the genetic information of pancreatic tumours in a simple, inexpensive, and non-invasive manner, using cancer imaging analysis and radiogenomics. We focused on p53 mutations, which are highly implicated in pancreatic ductal adenocarcinoma (PDAC), and PD-L1, a biomarker for immune checkpoint inhibitor-based therapies.Overall, 107 patients diagnosed with PDAC were retrospectively examined. The relationship between p53 mutations as well as PD-L1 abnormal expression and clinicopathological factors was investigated using immunohistochemistry. Imaging features (IFs) were extracted from CT scans and were used to create prediction models of p53 and PD-L1 status.We found that p53 and PD-L1 are significant independent prognostic factors (P = 0.008, 0.013, respectively). The area under the curve for p53 and PD-L1 predictive models was 0.795 and 0.683, respectively. Radiogenomics-predicted p53 mutations were significantly associated with poor prognosis (P = 0.015), whereas the predicted abnormal expression of PD-L1 was not significant (P = 0.096).Radiogenomics could predict p53 mutations and in turn the prognosis of PDAC patients. Hence, prediction of genetic information using radiogenomic analysis may aid in the development of precision medicine.
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