Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Multiomic analysis of microRNA-mediated regulation reveals a proliferative axis involving miR-10b in fibrolamellar carcinoma
Adam B. Francisco, Matt Kanke, Andrew P. Massa, Timothy A. Dinh, Ramja Sritharan, Khashayar Vakili, Nabeel Bardeesy, Praveen Sethupathy
Adam B. Francisco, Matt Kanke, Andrew P. Massa, Timothy A. Dinh, Ramja Sritharan, Khashayar Vakili, Nabeel Bardeesy, Praveen Sethupathy
View: Text | PDF
Research Article Oncology

Multiomic analysis of microRNA-mediated regulation reveals a proliferative axis involving miR-10b in fibrolamellar carcinoma

  • Text
  • PDF
Abstract

Fibrolamellar carcinoma (FLC) is an aggressive liver cancer primarily afflicting adolescents and young adults. Most patients with FLC harbor a heterozygous deletion on chromosome 19 that leads to the oncogenic gene fusion, DNAJB1-PRKACA. There are currently no effective therapeutics for FLC. To address that, it is critical to gain deeper mechanistic insight into FLC pathogenesis. We assembled a large sample set of FLC and nonmalignant liver tissue (n = 52) and performed integrative multiomic analysis. Specifically, we carried out small RNA sequencing to define altered microRNA expression patterns in tumor samples and then coupled this analysis with RNA sequencing and chromatin run-on sequencing data to identify candidate master microRNA regulators of gene expression in FLC. We also evaluated the relationship between DNAJB1-PRKACA and microRNAs of interest in several human and mouse cell models. Finally, we performed loss-of-function experiments for a specific microRNA in cells established from a patient-derived xenograft (PDX) model. We identified miR-10b-5p as the top candidate pro-proliferative microRNA in FLC. In multiple human cell models, overexpression of DNAJB1-PRKACA led to significant upregulation of miR-10b-5p. Inhibition of miR-10b in PDX-derived cells increased the expression of several potentially novel target genes, concomitant with a significant reduction in metabolic activity, proliferation, and anchorage-independent growth. This study highlights a potentially novel proliferative axis in FLC and provides a rich resource for further investigation of FLC etiology.

Authors

Adam B. Francisco, Matt Kanke, Andrew P. Massa, Timothy A. Dinh, Ramja Sritharan, Khashayar Vakili, Nabeel Bardeesy, Praveen Sethupathy

×

Figure 8

miR-10b inhibition reduces FLC cell metabolic activity and proliferation.

Options: View larger image (or click on image) Download as PowerPoint
miR-10b inhibition reduces FLC cell metabolic activity and proliferation...
(A) Protein expression of DNAJB1-PRKACA (DP) is detected with a protein kinase A catalytic α subunit (PKA) antibody. WT PKAc, DP major, and DP minor are identified. Lane 1, FLC-H cell line; lane 2, nonmalignant liver; lane 3, FLC patient sample; lane 4, FLC PDX sample. Vinculin expression for loading control is shown in the lower panel. Uncropped immunoblot shown in Supplemental Figure 4, A and B. (B) qPCR showing the RQV of miR-10b in FLC-H cells 6 days after 500 nM treatment with miR-10b LNA or scrambled sequence compared with mock (n = 4 each condition). (C) Luciferase signal (RLU) in FLC-H cells after 6 days of 500 nM miR-10b LNA treatment is shown as RQV compared with the scrambled negative control (6 trials, n = 6 each condition). (D) qPCR showing the RQV of FANCC, KLF11, SEC14L2, SIRT5, SUN2, and TRIM35 in FLC-H cells after 6 days of 500 nM miR-10b LNA treatment compared with the negative control (n = 5–7 trials with 3 replicates for each condition, SIRT5 n = 2 trials). (E) Soft agar colony formation of FLC-H cells 35 days after 500 nM miR-10b LNA compared with the negative control shown as RQV. (F) Representative nitro blue tetrazolium–stained images shown (2 trials, n = 8 each condition). (G) EdU incorporation in FLC-H cells 6 days after 500 nM treatment with miR-10b LNA compared with the negative control shown as RQV (2 trials, n = 6 each condition). (H) Representative DAPI- and EdU-stained images show total and proliferative cells, respectively. Scale bars: 100 μm. In all assays, each dot represents the average signal across technical replicates for a single biological replicate. P values are calculated by 2-tailed Student’s t test. P values reported in B and D were adjusted for multiple testing correction post hoc by the Benjamini-Hochberg method.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts