Evidence map›Paper›PMID 26883451›Full record

ReviewCancer genetics2016

Overview of recurrent chromosomal losses in retinoblastoma detected by low coverage next generation sequencing.

A J García-Chequer, A Méndez-Tenorio, G Olguín-Ruiz, C Sánchez-Vallejo, P Isa, C F Arias, J Torres, A Hernández-Angeles, M A Ramírez-Ortiz, C Lara and 10 more

Abstract readReview
In one paragraph

Review in Cancer genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

20 authors at 5 institutions in 2 countries.

A J García-ChequerUnidad de Investigación Médica en Enfermedades Infecciosas, Centro Médico Nacional SXXI, Instituto Mexicano del Seguro Social, México D.F., Mexico.
A Méndez-TenorioLab. Bioinformática Genómica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, México D.F., Mexico.
G Olguín-RuizLab. Bioinformática Genómica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, México D.F., Mexico.
C Sánchez-VallejoLab. Bioinformática Genómica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, México D.F., Mexico.
P IsaInstituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Mexico.
C F AriasInstituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Mexico.
J TorresUnidad de Investigación Médica en Enfermedades Infecciosas, Centro Médico Nacional SXXI, Instituto Mexicano del Seguro Social, México D.F., Mexico.
A Hernández-AngelesUnidad de Investigación Médica en Enfermedades Infecciosas, Centro Médico Nacional SXXI, Instituto Mexicano del Seguro Social, México D.F., Mexico.
M A Ramírez-OrtizHospital Infantil de México Federico Gómez, México D.F., Mexico.
C LaraHospital Infantil de México Federico Gómez, México D.F., Mexico.
M L Cabrera-MuñozHospital Infantil de México Federico Gómez, México D.F., Mexico.
S Sadowinski-PineHospital Infantil de México Federico Gómez, México D.F., Mexico.
J C Bravo-OrtizHospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, México D.F., Mexico.
G Ramón-GarcíaHospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, México D.F., Mexico.
J Diegopérez-RamírezHospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, México D.F., Mexico.
G Ramírez-ReyesHospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, México D.F., Mexico.
R Casarrubias-IslasHospital de Pediatría, CMN SXXI, Instituto Mexicano del Seguro Social, México D.F., Mexico.
J RamírezUnidad de Microarreglos, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, México D.F., Mexico.
M A OrjuelaColumbia University, New York, USA.
M V Ponce-CastañedaUnidad de Investigación Médica en Enfermedades Infecciosas, Centro Médico Nacional SXXI, Instituto Mexicano del Seguro Social, México D.F., Mexico. Electronic address: vponce@ifc.unam.mx.
Mexican Social Security Institute · MXHospital Infantil de México Federico Gómez · MXInstituto Politécnico Nacional · MXUniversidad Nacional Autónoma de México · MXColumbia University · US

Funding

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
Prenatal Exposures &Procarcinogenic MutationsR01ES012732 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ORJUELA, MANUELA A · 2004 to 2007
$1.4M
Unmetabolized folic acid and retinoblastoma.R21CA167833 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ORJUELA, MANUELA A · 2013 to 2014
$391k
NCI NIH HHS CA167833NCI NIH HHS CA98180NCI NIH HHS R01 CA098180NCI NIH HHS R01 CA192662NCI NIH HHS R21 CA167833NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R01 ES012732
6 · The paper itself

Abstract

Genes are frequently lost or gained in malignant tumors and the analysis of these changes can be informative about the underlying tumor biology. Retinoblastoma is a pediatric intraocular malignancy, and since deletions in chromosome 13 have been described in this tumor, we performed genome wide sequencing with the Illumina platform to test whether recurrent losses could be detected in low coverage data from DNA pools of Rb cases. An in silico reference profile for each pool was created from the human genome sequence GRCh37p5; a chromosome integrity score and a graphics 40 Kb window analysis approach, allowed us to identify with high resolution previously reported non random recurrent losses in all chromosomes of these tumors. We also found a pattern of gains and losses associated to clear and dark cytogenetic bands respectively. We further analyze a pool of medulloblastoma and found a more stable genomic profile and previously reported losses in this tumor. This approach facilitates identification of recurrent deletions from many patients that may be biological relevant for tumor development.

Indexed as

Chromosome DeletionFemaleHigh-Throughput Nucleotide SequencingHumansMaleMedulloblastomaOligonucleotide Array Sequence AnalysisRecurrenceRetinal NeoplasmsRetinoblastomalosseslow coveragemedulloblastomanext-generation sequencingPediatric tumorsretinoblastoma

Identifiers

PMID26883451
PMCPMC4993565
OpenAlexW2204430038

What OpenQuestion holds

Textmetadata
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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.