Evidence map›Paper›PMID 28668075›Full record

ArticleBMC cancer2017

miRNome landscape analysis reveals a 30 miRNA core in retinoblastoma.

Blanca Elena Castro-Magdonel, Manuela Orjuela, Javier Camacho, Adda Jeanette García-Chéquer, Lourdes Cabrera-Muñoz, Stanislaw Sadowinski-Pine, Noé Durán-Figueroa, María de Jesús Orozco-Romero, Ana Claudia Velázquez-Wong, Adriana Hernández-Ángeles and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

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  18. Expression profiles and prognostic value of miRNAs in retinoblastoma.Journal of cancer research and clinical oncology · 2019
    Review
  19. Article
  20. Non-Coding RNAs in Retinoblastoma.Frontiers in genetics · 2019
    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

13 authors at 6 institutions in 2 countries.

Blanca Elena Castro-MagdonelMedical Research Unit in Infectious Diseases, Hospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330, 06720, Mexico City, Mexico.
Manuela OrjuelaEpidemiology Department, Columbia University, New York, USA.
Javier CamachoPharmacology Department, CINVESTAV, Mexico City, Mexico.
Adda Jeanette García-ChéquerMedical Research Unit in Infectious Diseases, Hospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330, 06720, Mexico City, Mexico.
Lourdes Cabrera-MuñozPathology Department, Hospital Infantil de México Federico Gómez, Secretaría de Salud, Mexico City, Mexico.
Stanislaw Sadowinski-PinePathology Department, Hospital Infantil de México Federico Gómez, Secretaría de Salud, Mexico City, Mexico.
Noé Durán-FigueroaUnidad Profesional Interdisciplinaria de Biotecnología, Instituto Politécnico Nacional, Mexico City, Mexico.
María de Jesús Orozco-RomeroUnidad Profesional Interdisciplinaria de Biotecnología, Instituto Politécnico Nacional, Mexico City, Mexico.
Ana Claudia Velázquez-WongMedical Research Unit in Human Genetics, Hospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Adriana Hernández-ÁngelesMedical Research Unit in Infectious Diseases, Hospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330, 06720, Mexico City, Mexico.
Claudia Hernández-GalvánOphthalmology Department, Hospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Citlali Lara-MolinaOphthalmology Department, Hospital Infantil de México Federico Gómez, Mexico City, Mexico.
M Verónica Ponce-CastañedaMedical Research Unit in Infectious Diseases, Hospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330, 06720, Mexico City, Mexico. vponce@ifc.unam.mx.
Mexican Social Security Institute · MXCenter for Research and Advanced Studies of the National Polytechnic Institute · MXHospital Infantil de México Federico Gómez · MXInstituto Politécnico Nacional · MXColumbia University · USSecretaria de Salud · MX

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Parisa Tehranifar · 1985 to 2026
$115.3M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Folate Deficiency, Metabolism &Sporadic RetinoblastomaR01CA098180 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ORJUELA, MANUELA A · 2003 to 2006
$2.0M
Methylation and mutations in RB1 and variants of synthetic folic acid metabolismR01CA192662 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ORJUELA, MANUELA A · 2015 to 2018
$1.5M
Unmetabolized folic acid and retinoblastoma.R21CA167833 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ORJUELA, MANUELA A · 2013 to 2014
$391k
NCI NIH HHS P30 CA013696NCI NIH HHS R01 CA098180NCI NIH HHS R01 CA192662NCI NIH HHS R21 CA167833NIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

backgroundmiRNAs exert their effect through a negative regulatory mechanism silencing expression upon hybridizing to their target mRNA, and have a prominent position in the control of many cellular processes including carcinogenesis. Previous miRNA studies on retinoblastoma (Rb) have been limited to specific miRNAs reported in other tumors or to medium density arrays. Here we report expression analysis of the whole miRNome on 12 retinoblastoma tumor samples using a high throughput microarray platform including 2578 mature miRNAs.

methodsTwelve retinoblastoma tumor samples were analyzed using an Affymetrix platform including 2578 mature miRNAs. We applied RMA analysis to normalize raw data, obtained categorical data from detection call values, and also used signal intensity derived expression data. We used Diana-Tools-microT-CDS to find miRNA targets and ChromDraw to map miRNAs in chromosomes.

resultsWe discovered a core-cluster of 30 miRNAs that were highly expressed in all the cases and a cluster of 993 miRNAs that were uniformly absent in all cases. Another 1022 miRNA were variably present in the samples reflecting heterogeneity between tumors. We explored mRNA targets, pathways and biological processes affected by some of these miRNAs. We propose that the core-cluster of 30 miRs represent miRNA machinery common to all Rb, and affecting most pathways considered hallmarks of cancer. In this core, we identified miR-3613 as a potential and critical down regulatory hub, because it is highly expressed in all the samples and its potential mRNA targets include at least 36 tumor suppressor genes, including RB1. In the variably expressed miRNA, 36 were differentially expressed between males and females. Some of the potential pathways targeted by these 36 miRNAs were associated with hormonal production.

conclusionThese findings indicate that Rb tumor samples share a common miRNA expression profile regardless of tumor heterogeneity, and shed light on potential novel therapeutic targets such as mir-3613 This is the first work to delineate the miRNA landscape in retinoblastoma tumor samples using an unbiased approach.

Indexed as

TranscriptomeAdolescentAdultChildCluster AnalysisComputational BiologyFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedNeoplasm StagingOligonucleotide Array Sequence AnalysisReproducibility of ResultsRetinoblastomaMicroRNAsmir-3613miRNomeRetinoblastomaTumor heterogeneity

Identifiers

PMID28668075
PMCPMC5493862
OpenAlexW2727463947

What OpenQuestion holds

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Registered trials

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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.