Evidence map›Paper›PMID 30988067›Full record

ArticleBioscience reports2019

miR-20a regulates sensitivity of colorectal cancer cells to NK cells by targeting MICA.

Siwen Tang, Hongyu Fu, Qihua Xu, Ying Zhou

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. 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

4 authors at 2 institutions in 1 country.

Siwen TangDepartment of General Surgery, Second Hospital of Heilongjiang Province, Harbin 150000, Heilongjiang, China.
Hongyu FuDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai 200082, China.
Qihua XuGastroenterology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai 200137, China.
Ying ZhouGastroenterology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai 200137, China chengyanyo74w@163.com.ORCID 0000-0001-7387-4890
Shanghai University of Traditional Chinese Medicine · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the leading cancer-related causes of deaths in the world. Recently, microRNAs have been reported to regulate the tumor growth, invasion and the immunosuppression. In the present study, we found that miR-20a was increased in human CRC specimens compared with the healthy normal tissues. However, miR-20a overexpression and knockdown did not impair the CRC cell growth

Indexed as

Cell ProliferationColorectal NeoplasmsFemaleFlow CytometryGene Expression Regulation, NeoplasticHCT116 CellsHistocompatibility Antigens Class IHumansKiller Cells, NaturalLysosomal-Associated Membrane Protein 1MaleMicroRNAsNK Cell Lectin-Like Receptor Subfamily KHistocompatibility Antigens Class IKLRK1 protein, humanLysosomal-Associated Membrane Protein 1MHC class I-related chain AMicroRNAsMIRN20a microRNA, humanNK Cell Lectin-Like Receptor Subfamily KCRCMICAmicroRNAmiR-20aNatural Killer cellsNKG2D

Identifiers

PMID30988067
PMCPMC6603280
OpenAlexW2937123170

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.