Evidence map›Paper›PMID 23400111›Full record

ArticleBioinformatics and biology insights2013

Identification and Insilico Analysis of Retinoblastoma Serum microRNA Profile and Gene Targets Towards Prediction of Novel Serum Biomarkers.

Madhu Beta, Nalini Venkatesan, Madavan Vasudevan, Umashankar Vetrivel, Vikas Khetan, Subramanian Krishnakumar

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics and biology insights, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.4field-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

34 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Exosomes: Insights from Retinoblastoma and Other Eye Cancers.International journal of molecular sciences · 2020
    Review
  10. Biomarkers in retinoblastoma.International journal of ophthalmology · 2020
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Expression profiles and prognostic value of miRNAs in retinoblastoma.Journal of cancer research and clinical oncology · 2019
    Review
  16. Non-Coding RNAs in Retinoblastoma.Frontiers in genetics · 2019
    Review
  17. Article
  18. Review
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Madhu BetaL & T Ocular Pathology Department, Kamalnayan Bajaj Research Institute, Vision Research Foundation, Sankara Nethralaya, Tamil Nadu, India. ; Shanmugha Arts, Science, Technology & Research Academy (SASTRA University), Tirumalaisamudram, Thanjavur, Tamil Nadu, India.
Nalini Venkatesan
Madavan Vasudevan
Umashankar Vetrivel
Vikas Khetan
Subramanian Krishnakumar
Birla Institute of Technology and Science, Pilani · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinoblastoma (RB) is a malignant tumor of the retina seen in children, and potential non invasive biomarkers are in need for rapid diagnosis and for prognosticating the therapy. This study was undertaken to identify the differentially expressed miRNAs in the serum of children with RB in comparison with the normal age matched serum, to analyze its concurrence with the existing RB tumor miRNA profile, to identify its novel gene targets specific to RB, and to study the expression of a few of the identified oncogenic miRNAs in the advanced stage primary RB patient's serum sample. MiRNA profiling was performed on 14 pooled serum from children with advanced RB and 14 normal age matched serum samples, wherein 21 miRNAs were found to be upregulated (fold change ≤ -2.0, P ≤ 0.05) and 24 to be downregulated (fold change ≥ +2.0, P ≤ 0.05). Furthermore, intersection of 59 significantly deregulated miRNAs identified from RB tumor profiles with that of miRNAs detected in serum profile revealed that 33 miRNAs had followed a similar deregulation pattern in RB serum. Later we validated a few of the miRNAs (miRNA 17-92) identified by microarray in the RB patient serum samples (n = 20) by using qRT-PCR. Expression of the oncogenic miRNAs, miR-17, miR-18a, and miR-20a by qRT-PCR was significant in the serum samples exploring the potential of serum miRNAs identification as noninvasive diagnosis. Moreover, from miRNA gene target prediction, key regulatory genes of cell proliferation, apoptosis, and positive and negative regulatory networks involved in RB progression were identified in the gene expression profile of RB tumors. Therefore, these identified miRNAs and their corresponding target genes could give insights on potential biomarkers and key events involved in the RB pathway.

Indexed as

bioinformatics toolsbiomarkersmicro RNAretinoblastoma

Identifiers

PMID23400111
PMCPMC3547501
OpenAlexW2012421299

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.