Evidence map›Paper›PMID 30801950›Full record

ReviewJournal of cellular and molecular medicine2019

Small non-coding RNA and colorectal cancer.

Hui Chen, Zhiying Xu, Deliang Liu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% 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

67 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

  1. Pooled it
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  19. Non-coding RNA-Mediated N6-Methyladenosine (mNon-coding RNA research · 2024
    Review
  20. Review

7 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Hui ChenDepartment of Gastroenterology, People's Hospital of Taizhou, Taizhou, Jiangsu, China.ORCID 0000-0002-7847-6960
Zhiying XuDepartment of Gastroenterology, People's Hospital of Taizhou, Taizhou, Jiangsu, China.
Deliang LiuDepartment of Gastroenterology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Nantong University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common malignance. Although great efforts have been made to understand the pathogenesis of CRC, the underlying mechanisms are still unclear. It is now clear that more than 90% of the total genome is actively transcribed, but lack of protein-coding potential. The massive amount of RNA can be classified as housekeeping RNAs (such as ribosomal RNAs, transfer RNAs) and regulatory RNAs (such as microRNAs [miRNAs], PIWI-interacting RNA [piRNAs], tRNA-derived stress-induced RNA, tRNA-derived small RNA [tRFs] and long non-coding RNAs [lncRNAs]). Small non-coding RNAs are a group of ncRNAs with the length no more than 200 nt and they have been found to exert important regulatory functions under many pathological conditions. In this review, we summarize the biogenesis and functions of regulatory sncRNAs, such as miRNAs, piRNA and tRFs, and highlight their involvements in cancers, particularly in CRC.

Indexed as

Colorectal NeoplasmsHumansMicroRNAsRNA, Long NoncodingRNA, RibosomalRNA, Small InterferingRNA, Small UntranslatedRNA, TransferSignal TransductionMicroRNAsRNA, Long NoncodingRNA, RibosomalRNA, Small InterferingRNA, Small UntranslatedRNA, Transfercolorectal cancermiRNApiRNAsmall non-coding RNAtRF

Identifiers

PMID30801950
PMCPMC6484298
OpenAlexW2917222498

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.