Evidence map›Paper›PMID 30753993›Full record

ArticleMolecular therapy. Nucleic acids2019

Bioengineered Let-7c Inhibits Orthotopic Hepatocellular Carcinoma and Improves Overall Survival with Minimal Immunogenicity.

Joseph L Jilek, Qian-Yu Zhang, Mei-Juan Tu, Pui Yan Ho, Zhijian Duan, Jing-Xin Qiu, Ai-Ming Yu

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Efficiency and safety of five different agents forFrontiers in molecular biosciences · 2026
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  12. Recombinant Technologies Facilitate Drug Metabolism, Pharmacokinetics, and General Biomedical Research.Drug metabolism and disposition: the biological fate of chemicals · 2023
    Review
  13. RNAi-Based Therapeutics and Novel RNA Bioengineering Technologies.The Journal of pharmacology and experimental therapeutics · 2023
    Review
  14. Article
  15. Article
  16. Article
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  18. Review
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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

7 authors.

Joseph L JilekDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA.
Qian-Yu ZhangDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA.
Mei-Juan TuDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA.
Pui Yan HoDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA.
Zhijian DuanDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA.
Jing-Xin QiuDepartment of Pathology, Roswell Park Cancer Institute, Buffalo, NY 14263, USA.
Ai-Ming YuDepartment of Biochemistry & Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA. Electronic address: aimyu@ucdavis.edu.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
Novel bioengineered microRNA therapeutics for lung cancerR01CA225958 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Aiming Yu · 2019 to 2026
$3.7M
Predoctoral Training in Pharmacological SciencesT32GM099608 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HELL, JOHANNES W · 2012 to 2021
$2.2M
MicroRNA-1291 in Regulation of Xenobiotic Disposition and Cell DifferentiationU01CA175315 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI YU, AIMING · 2014 to 2018
$1.6M
Recombinant microRNAs in xenobiotic dispositionR01GM113888 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI YU, AIMING · 2016 to 2019
$1.3M
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA225958NCI NIH HHS U01 CA175315NIGMS NIH HHS R01 GM113888NIGMS NIH HHS T32 GM099608
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related deaths, warranting better therapies. Restoration of tumor-suppressive microRNAs depleted in hepatocellular carcinoma represents a new therapeutic strategy. Herein, we sought to identify a potent microRNA (miRNA) agent that could alleviate HCC tumor burden and improve survival. Among a collection of bioengineered noncoding RNA molecules produced through bacterial fermentation, we identified let-7c agent as the most potent inhibitor of HCC cell viability. Bioengineered let-7c selectively modulated target gene expression (Lin-28 homolog B [LIN28B], AT-rich interactive domain-containing protein 3B [ARID3B], B cell lymphoma-extra large [Bcl-xl], and c-Myc) in HCC cells, and consequently induced apoptosis and inhibited tumorsphere growth. When formulated with liposomal-branched polyethylenimine polyplex, bioengineered let-7c exhibited serum stability up to 24 h. Furthermore, liposomal polyplex-formulated let-7c could effectively reduce tumor burden and progression in orthotopic HCC mouse models, while linear polyethyleneimine-formulated let-7c to a lower degree, as revealed by live animal and ex vivo tissue imaging studies. This was also supported by reduced serum α-fetoprotein and bilirubin levels in let-7c-treated mice. In addition, lipopolyplex-formulated let-7c extended overall survival of HCC tumor-bearing mice and elicited no or minimal immune responses in healthy immunocompetent mice and human peripheral blood mononuclear cells. These results demonstrate that bioengineered let-7c is a promising molecule for advanced HCC therapy, and liposomal polyplex is a superior modality for in vivo RNA delivery.

Indexed as

bioengineeringhepatocellular carcinomalipopolyplexmicroRNAxenograft

Identifiers

PMID30753993
PMCPMC6370598

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.