論文

国際誌
2022年1月25日

A blood-based noninvasive miRNA signature for predicting survival outcomes in patients with intrahepatic cholangiocarcinoma.

British journal of cancer
  • Yuma Wada
  • ,
  • Mitsuo Shimada
  • ,
  • Yuji Morine
  • ,
  • Tetsuya Ikemoto
  • ,
  • Yu Saito
  • ,
  • Hideo Baba
  • ,
  • Masaki Mori
  • ,
  • Ajay Goel

126
8
開始ページ
1196
終了ページ
1204
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/s41416-022-01710-z

BACKGROUND: The prognosis in patients with intrahepatic cholangiocarcinoma (ICC) is generally poor. To improve treatment selection, we sought to identify microRNA (miRNA) signature associated with survival outcomes in ICC. METHODS: We first analysed the miRNA expression profiles of primary ICC from two public datasets to identify a miRNA panel to detect patients for short-term survival. We then analysed 309 specimens, including 241 FFPE samples from two clinical cohorts (training: n = 177; validation: n = 64) and matched plasma samples (n = 68), and developed a risk-stratification model incorporating the panel and CA 19-9 levels to predict survival outcomes in ICC. RESULTS: We identified a 7-miRNA panel that robustly classified patients with poor outcomes in the discovery cohorts (AUC = 0.80 and 0.88, respectively). We subsequently trained this miRNA panel in a clinical cohort (AUC = 0.83) and evaluated its performance in an independent validation cohort (AUC = 0.82) and plasma samples from the additional validation cohort (AUC = 0.78). Patients in both clinical cohorts who were classified as high-risk had significantly worse prognosis (p < 0.01). The risk-stratification model demonstrated superior performance compared to models (AUC = 0.85). CONCLUSIONS: We established a novel miRNA signature that could robustly predict survival outcomes in resected tissues and liquid biopsies to improve the clinical management of patients with ICC.

リンク情報
DOI
https://doi.org/10.1038/s41416-022-01710-z
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/35079106
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023447
ID情報
  • DOI : 10.1038/s41416-022-01710-z
  • PubMed ID : 35079106
  • PubMed Central 記事ID : PMC9023447

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