Evidence map›Paper›PMID 33256802›Full record

ArticleJournal of experimental & clinical cancer research : CR2020

Loss of miR-192-5p initiates a hyperglycolysis and stemness positive feedback in hepatocellular carcinoma.

Yuanzhuo Gu, Fubo Ji, Niya Liu, Yongzhi Zhao, Xiyang Wei, Shiyuan Hu, Wei Jia, Xin Wei Wang, Anuradha Budhu, Juling Ji and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Understanding how hypoxia contributes to liver cancer stem cells maintenance.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  15. Long Non-Coding RNA LINC01572 Promotes Hepatocellular Carcinoma ProgressionFrontiers in cell and developmental biology · 2021
    Article
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

14 authors at 5 institutions in 4 countries.

Yuanzhuo GuMOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Fubo JiMOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Niya LiuMOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Yongzhi ZhaoMOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Xiyang WeiMOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Shiyuan HuMOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Wei JiaHong Kong Baptist University, HongKong, China.
Xin Wei WangLiver Carcinogenesis Section, The Lab of Human Carcinogenesis, National Cancer Institute, Bethesda, MD, 20892, USA.
Anuradha BudhuLiver Carcinogenesis Section, The Lab of Human Carcinogenesis, National Cancer Institute, Bethesda, MD, 20892, USA.
Juling JiDepartment of Pathology, Medical School of Nantong University, Nantong, 226019, Jiangsu Province, China.
Bin ZhaoMOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Stephanie RoesslerInstitute of Pathology, University Hospital Heidelberg, 69120, Heidelberg, Germany.
Xin ZhengEZKIT L.L.C, Honolulu, HI, 96825, USA.
Junfang JiMOE Key Laboratory of Biosystems Homeostasis & Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China. junfangji@zju.edu.cn.ORCID http://orcid.org/0000-0002-3071-6494
Zhejiang University · CNGenesis Foundation · USNantong University · CNHeidelberg University · DEHong Kong Baptist University · HK

Funding

National Key R&D Program of China 2018YFA0800504National Natural Science Foundation of China 81672905National Natural Science Foundation of China 81874054National Natural Science Foundation of China 82073055
6 · The paper itself

Abstract

backgroundEmerging studies revealed that cancer stem cells (CSCs) possessed peculiar metabolic properties, which however remained largely unknown in hepatocellular carcinoma (HCC). Genetic silencing of liver-abundant miR-192-5p was a key feature for multiple groups of CSC-positive HCCs. We thus aimed to investigate essential metabolic features of hepatic CSCs via using HCCs with miR-192-5p silencing as a model.

methodsDatasets from two independent HCC cohorts were used. Data integration analyses of miR-192-5p with metabolome and mRNA transcriptome data in HCC Cohort 1 were performed to investigate miR-192-5p related metabolic features, which was further validated in Cohort 2. Cellular and molecular assays were performed to examine whether and how miR-192-5p regulated the identified metabolic features. Co-culture systems consisting of HCC cells and LX2 (human hepatic stellate cell line) or THP1 (human monocyte cell line) were established to explore effects of the identified metabolic properties on stemness features of HCC cells via interacting with co-cultured non-tumor cells.

resultsHigh levels of glycolysis-related metabolites and genes were present in HCCs with low miR-192-5p and CSC-positive HCCs in two independent HCC cohorts. miR-192-5p knockout cells displayed CSC features and miR-192-5p loss led to an enhanced glycolytic phenotype via upregulating three bona fide targets, GLUT1 and PFKFB3 (two glycolytic enzymes) and c-Myc (regulating glycolytic genes' expression). Meanwhile, c-Myc suppressed miR-192-5p transcription, ensuring a low-miR-192-5p/high-c-Myc loop to maintain hyperglycolysis. Moreover, over-produced lactic acid from hyperglycolytic HCC cells stimulated the ERK phosphorylation of co-cultured LX2 and THP1 non-tumor cells partially via NDRG3 and MCT1, which in turn promoted cell malignancy and stemness of HCC cells. Consistently, HCC patients with low level of miR-192-5p in their tumor tissues and high level of NDRG3 or MCT1 in their non-tumor tissues had the shortest overall survival.

conclusionsIn CSC-positive HCCs, miR-192-5p loss enhanced glycolysis and over produced lactate might further increase HCC malignant features via interacting with environmental non-tumor cells.

Indexed as

Carcinoma, HepatocellularCell Line, TumorCell ProliferationFeedbackFemaleGlycolysisHumansLiver NeoplasmsMaleMicroRNAsNeoplastic Stem CellsTransfectionMicroRNAsMIRN192 microRNA, humanCancer stem cellC-MycGlycolysisHepatocellular carcinomamiR-192-5p

Identifiers

PMID33256802
PMCPMC7708108
OpenAlexW3108152087

What OpenQuestion holds

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LicenceCC BY
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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.