MiR-30a and miR-200c differentiate cholangiocarcinomas from gastrointestinal cancer liver metastases

Jun Won Park, Jong Min Jeong, Kye Soo Cho, Soo Young Cho, Jae Hee Cheon, Dong Ho Choi, Sang Jae Park, Hark Kyun Kim

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Prior studies have demonstrated the utility of microRNA assays for predicting some cancer tissue origins, but these assays need to be further optimized for predicting the tissue origins of adenocarcinomas of the liver. We performed microRNA profiling on 195 frozen primary tumor samples using 14 types of tumors that were either adenocarcinomas or differentiated from adenocarcinomas. The 1-nearest neighbor method predicted tissue-of-origin in 33 samples of a test set, with an accuracy of 93.9% at feature selection p values ranging from 10-4 to 10-10. According to binary decision tree analyses, the overexpression of miR-30a and the underexpression of miR-200 family members (miR-200c and miR-141) differentiated intrahepatic cholangiocarcinomas from extrahepatic adenocarcinomas. When binary decision tree analyses were performed using the test set, the prediction accuracy was 84.8%. The overexpression of miR-30a and the reduced expressions of miR-200c, miR- 141, and miR-425 could distinguish intrahepatic cholangiocarcinomas from liver metastases from the gastrointestinal tract.

Original languageEnglish
Article numbere0250083
JournalPloS one
Issue number4 April
Publication statusPublished - 2021 Apr

Bibliographical note

Publisher Copyright:
© 2021 Park et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

All Science Journal Classification (ASJC) codes

  • General


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