Evidence map›Paper›PMID 26599259›Full record

ArticleHepatology (Baltimore, Md.)2016

Differentiation therapy for hepatocellular carcinoma: Multifaceted effects of miR-148a on tumor growth and phenotype and liver fibrosis.

Kwang Hwa Jung, Jing Zhang, Chong Zhou, Hong Shen, Mihai Gagea, Cristian Rodriguez-Aguayo, Gabriel Lopez-Berestein, Anil K Sood, Laura Beretta

Open access · greenAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 109 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Current research of the Notch pathway in hepatocellular carcinoma.European journal of medical research · 2025
    Review
  8. Review
  9. Review
  10. Targeting Fibrosis: From Molecular Mechanisms to Advanced Therapies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. MASM inhibits cancer stem cell-like characteristics of EpCAMAmerican journal of translational research · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Kwang Hwa JungDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Jing ZhangDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Chong ZhouDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Hong ShenDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Mihai GageaDepartment of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.
Cristian Rodriguez-AguayoDepartment of Experimental Therapeutics and the Center for RNAi and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, TX.
Gabriel Lopez-BeresteinDepartment of Experimental Therapeutics and the Center for RNAi and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, TX.
Anil K SoodDepartment of Gynecologic and Reproductive Oncology and the Center for RNAi and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, TX.
Laura BerettaDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Texas Center for Cancer NanomedicineU54CA151668 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2010 to 2014
$12.4M
NCI NIH HHS CA016672NCI NIH HHS P30 CA016672NCI NIH HHS U54 CA151668
6 · The paper itself

Abstract

unlabelledThe death rate from hepatocellular carcinoma (HCC) is increasing, and liver cancer is the second leading cause of cancer-related mortality worldwide. Most patients with HCC have underlying liver cirrhosis and compromised liver function, limiting treatment options. Cirrhosis is associated with cell dedifferentiation and expansion of hepatocholangiolar progenitor cells. We identified a microRNA signature associated with HCC and hepatocytic differentiation of progenitor cells. We further identified miR-148a as an inducer of hepatocytic differentiation that is down-regulated in HCC. MiR-148a-mimetic treatment in vivo suppressed tumor growth, reduced tumor malignancy and liver fibrosis, and prevented tumor development. These effects were associated with an increased differentiated phenotype and mediated by IκB kinase alpha/NUMB/NOTCH signaling.

conclusionmiR-148a is an inhibitor of the IκB kinase alpha/NUMB/NOTCH pathway and an inducer of hepatocytic differentiation that when deregulated promotes HCC initiation and progression. Differentiation-targeted therapy may be a promising strategy to treat and prevent HCC.

Indexed as

Cell DifferentiationAnimalsBenzazepinesBiomarkersCarcinoma, HepatocellularCell Line, TumorFibrosisFluorocarbonsHepatocytesHumansI-kappa B KinaseLiverLiver NeoplasmsMaleMice, Inbred C57BLMice, Knockout2,2-dimethyl-N-(6-oxo-6,7-dihydro-5H-dibenzo(b,d)azepin-7-yl)-N'-(2,2,3,3,3-pentafluoropropyl)malonamideBenzazepinesBiomarkersFluorocarbonsI-kappa B KinaseMicroRNAsMIRN148 microRNA, humanReceptors, Notch

Identifiers

PMID26599259
PMCPMC4764447
OpenAlexW2175690858

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.