Evidence map›Paper›PMID 27683056›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Upregulation of miR-192 inhibits cell growth and invasion and induces cell apoptosis by targeting TCF7 in human osteosarcoma.

Yadong Wang, Shanfeng Zhang, Yan Xu, Yan Zhang, Hongya Guan, Xinjie Li, Yuebai Li, Yisheng Wang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. miRNA in Molecular Diagnostics.Bioengineering (Basel, Switzerland) · 2022
    Review
  7. Review
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. miRNA signatures in childhood sarcomas and their clinical implications.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Low miR-192 expression predicts poor prognosis in pediatric acute myeloid leukemia.Cancer biomarkers : section A of Disease markers · 2018
    Article
  19. 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

8 authors.

Yadong WangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Shanfeng ZhangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Yan XuDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Yan ZhangDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China.
Hongya GuanDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Xinjie LiDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Yuebai LiDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China. liyuebai@zzu.edu.cn.
Yisheng WangDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) can function as oncogenes or tumor suppressor genes and are involved in multiple processes in cancer development and progression. For example, miR-192 is dysregulated in multiple human cancers, including osteosarcoma (OS). However, the pathophysiological role of miR-192 and its relevance to OS cell growth and invasion has not yet been clarified. This study aimed to investigate the expression of miR-192 in OS and elucidate the molecular mechanisms by which miR-192 acts as a tumor suppressor in this disease. The qRT-PCR data identified significant down-regulation of miR-192 in 20 OS tissue samples and two OS cell lines when compared with adjacent normal tissues and a human osteoblast cell line, respectively. Furthermore, Western blot analysis revealed overexpression of T cell-specific transcription factor (TCF) 7 protein in tumor tissues compared with matched adjacent normal tissues. Further in vitro studies demonstrated that enforced expression of miR-192 inhibited U2OS and MG63 cell proliferation, invasion, and migration and induced apoptosis. Finally, Western blot and Luciferase assays identified TCF7 as a target of miR-192. Collectively, these findings suggest an important role for miR-192 in regulating the proliferation, migration, invasion, and apoptosis of OS cells through the regulation of TCF7.

Indexed as

Cell MovementCell ProliferationGene Expression Regulation, NeoplasticApoptosisBone and BonesBone NeoplasmsCase-Control StudiesHumansMicroRNAsNeoplasm InvasivenessOsteosarcomaReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, MessengerT Cell Transcription Factor 1Tumor Cells, CulturedMicroRNAsMIRN192 microRNA, humanRNA, MessengerT Cell Transcription Factor 1TCF7 protein, humanApoptosisInvasionmiR-192OsteosarcomaProliferationTCF7

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Registered trials

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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.