Evidence map›Paper›PMID 27436709›Full record

ReviewCell proliferation2016

Deconvoluting the complexity of microRNAs in autophagy to improve potential cancer therapy.

Dahong Yao, Yingnan Jiang, Suyu Gao, Lei Shang, Yuqian Zhao, Jian Huang, Jinhui Wang, Shilin Yang, Lixia Chen

Abstract readReview
In one paragraph

Review in Cell proliferation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The Expression Patterns ofJournal of clinical medicine · 2020
    Article
  5. Autophagy in cancers including brain tumors: role of MicroRNAs.Cell communication and signaling : CCS · 2020
    Review
  6. Article
  7. 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

9 authors at 2 institutions in 1 country.

Dahong YaoKey Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Yingnan JiangKey Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Suyu GaoKey Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Lei ShangSchool of Pharmacy, China Medical University, Shenyang, 110122, China.
Yuqian ZhaoKey Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Jian HuangKey Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Jinhui WangKey Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, China. profwjh@126.com.
Shilin YangKey Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, China. yangshilin@suda.edu.cn.
Lixia ChenKey Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, China. syzyclx@163.com.
Shenyang Pharmaceutical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) (small, non-coding RNAs ∼22 nucleotides [nt] in length), have been estimated to regulate in the region of 30% of human gene expression at the post-transcriptional and translational levels. They are also involved in a series of important cellular processes, such as autophagy. Autophagy is well-known to be an evolutionarily conserved lysosomal degradation process in which a cell degrades long-lived proteins and damaged organelles. Recent evidence has shown that miRNAs can function as either oncogenes or tumour-suppressive genes in human cancers. Also, they are well-characterized to be crucial in tumourigenesis, as either oncogenes or tumour suppressors, by regulating autophagy. However, discovering the intricate mechanism of miRNA-modulated autophagy remains in its infancy. Thus, in this review, we focus on summarizing the dual function of oncogenic or tumour-suppressive miRNAs in regulation of autophagy and their roles in carcinogenesis, thereby revealing the regulatory mechanism of miRNA-modulated autophagy in cancer, to shed light on more novel RNA therapeutic strategies in the future.

Indexed as

AutophagyAnimalsGene Expression Regulation, NeoplasticGenes, Tumor SuppressorGenetic TherapyHumansMicroRNAsNeoplasmsOncogenesSignal TransductionMicroRNAs

Identifiers

PMID27436709
PMCPMC6496512
OpenAlexW2498583855

What OpenQuestion holds

Textmetadata
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.