Evidence map›Paper›PMID 28391434›Full record

SynthesisMolecular biology reports2017

Perspectives of long non-coding RNAs in cancer.

Arunagiri Kuha Deva Magendhra Rao, Thangarajan Rajkumar, Samson Mani

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% 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

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.

  1. Pooled it
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  18. Article
  19. A diagnostic and predictive lncRNAMolecular therapy. Nucleic acids · 2022
    Article
  20. Article

4 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 1 institution in 1 country.

Arunagiri Kuha Deva Magendhra RaoDepartment of Molecular Oncology, Cancer Institute (WIA), No:38, Sardar Patel Road, Adyar, Chennai, Tamil Nadu, 600036, India.
Thangarajan RajkumarDepartment of Molecular Oncology, Cancer Institute (WIA), No:38, Sardar Patel Road, Adyar, Chennai, Tamil Nadu, 600036, India.
Samson ManiDepartment of Molecular Oncology, Cancer Institute (WIA), No:38, Sardar Patel Road, Adyar, Chennai, Tamil Nadu, 600036, India. samsonn.m@gmail.com.
Cancer Institute (WIA) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent advance in transcriptomics has spawned the 'Decade of non-coding RNAs' by potentiating the growing numbers of long non-coding RNA in cancer. LncRNA involvement in cancer denotes its significance beyond our perception as they participate in tumor suppression and promoting oncogenesis, which raises them as a mighty class of effectors or regulators. Aberrantly expressed lncRNAs interact with major protein and coding partners, which ultimately deregulate normal cellular processes and drive the cell towards malignant state. Identification of theses interactions are utmost important as lncRNAs can be ideal targets for therapy. Dysregulation of lncRNAs by genomic alterations like single nucleotide variations and gene fusions are also potential modulators of their secondary structure. In this review, we discuss the various molecular interactions of lncRNAs with major bio-molecules and genetic variations in lncRNA genes and their importance in cancer. This systematic review outlines the vivid role of lncRNAs in cancer context and opens up future conceptual applications.

Indexed as

GenomeHumansMicroRNAsNeoplasmsRNA, Long NoncodingTranscriptomeMicroRNAsRNA, Long NoncodingLncRNA and cancerLncRNA interactionLncRNA SNPLong non-coding RNANon-coding RNA

Identifiers

PMID28391434
OpenAlexW2605006100

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.