Evidence map›Paper›PMID 24206916›Full record

ReviewChinese journal of cancer2013

Noncoding RNAs in cancer and cancer stem cells.

Tianzhi Huang, Angel Alvarez, Bo Hu, Shi-Yuan Cheng

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Chinese journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

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

  1. Pooled it
  2. Review
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  12. Synthetic Pathways and the Therapeutic Potential of Quercetin and Curcumin.International journal of molecular sciences · 2022
    Review
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17 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

4 authors.

Tianzhi HuangThe Ken & Ruth Davee Department of Neuro-logy, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA. bo.hu@northwestern.edu, shiyuan.cheng@northwestern.edu.
Angel Alvarez
Bo Hu
Shi-Yuan Cheng

Funding

ELMO1, Dock180 and Glioma InvasionR01CA130966 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHENG, SHI-YUAN · 2008 to 2012
$1.5M
NCI NIH HHS CA130966NCI NIH HHS CA158911NCI NIH HHS R01 CA130966
6 · The paper itself

Abstract

In recent years, it has become increasingly apparent that noncoding RNAs (ncRNA) are of crucial importance for human cancer. The functional relevance of ncRNAs is particularly evident for microRNAs (miRNAs) and long noncoding RNAs (lncRNAs). miRNAs are endogenously expressed small RNA sequences that act as post-transcriptional regulators of gene expression and have been extensively studied for their roles in cancers, whereas lncRNAs are emerging as important players in the cancer paradigm in recent years. These noncoding genes are often aberrantly expressed in a variety of human cancers. However, the biological functions of most ncRNAs remain largely unknown. Recently, evidence has begun to accumulate describing how ncRNAs are dysregulated in cancer and cancer stem cells, a subset of cancer cells harboring self-renewal and differentiation capacities. These studies provide insight into the functional roles that ncRNAs play in tumor initiation, progression, and resistance to therapies, and they suggest ncRNAs as attractive therapeutic targets and potentially useful diagnostic tools.

Indexed as

NeoplasmsGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplastic Stem CellsRNA, Long NoncodingRNA, UntranslatedMicroRNAsRNA, Long NoncodingRNA, Untranslated

Identifiers

PMID24206916
PMCPMC3845549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.