Evidence map›Paper›PMID 19607694›Full record

ArticleBMC cancer2009

Low-risk susceptibility alleles in 40 human breast cancer cell lines.

Muhammad Riaz, Fons Elstrodt, Antoinette Hollestelle, Abbas Dehghan, Jan Gm Klijn, Mieke Schutte

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 41 citations in OpenAlex.

  1. Identification and functional analysis of Rattus norvegicus Mammary carcinoma susceptibility 1b (Mcs1b) nominated variants.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
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  4. Elevated transcription and glycosylation of B3GNT5 promotes breast cancer aggressiveness.Journal of experimental & clinical cancer research : CR · 2022
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  15. [Genes beyond BRCA1 and BRCA2 for hereditary breast cancer].Wiener medizinische Wochenschrift (1946) · 2010
    Review
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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

6 authors at 1 institution in 1 country.

Muhammad RiazDepartment of Medical Oncology, Josephine Nefkens Institute, Erasmus University Medical Center, Rotterdam, the Netherlands. m.riaz@erasmusmc.nl
Fons Elstrodt
Antoinette Hollestelle
Abbas Dehghan
Jan Gm Klijn
Mieke Schutte
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow-risk breast cancer susceptibility alleles or SNPs confer only modest breast cancer risks ranging from just over 1.0 to 1.3 fold. Yet, they are common among most populations and therefore are involved in the development of essentially all breast cancers. The mechanism by which the low-risk SNPs confer breast cancer risks is currently unclear. The breast cancer association consortium BCAC has hypothesized that the low-risk SNPs modulate expression levels of nearby located genes.

methodsGenotypes of five low-risk SNPs were determined for 40 human breast cancer cell lines, by direct sequencing of PCR-amplified genomic templates. We have analyzed expression of the four genes that are located nearby the low-risk SNPs, by using real-time RT-PCR and Human Exon microarrays.

resultsThe SNP genotypes and additional phenotypic data on the breast cancer cell lines are presented. We did not detect any effect of the SNP genotypes on expression levels of the nearby-located genes MAP3K1, FGFR2, TNRC9 and LSP1.

conclusionThe SNP genotypes provide a base line for functional studies in a well-characterized cohort of 40 human breast cancer cell lines. Our expression analyses suggest that a putative disease mechanism through gene expression modulation is not operative in breast cancer cell lines.

Indexed as

AllelesBreast NeoplasmsCell Line, TumorExonsGene Expression ProfilingGenes, NeoplasmGenetic Predisposition to DiseaseGenotypeHumansOligonucleotide Array Sequence AnalysisPhenotypePolymorphism, Single NucleotideReverse Transcriptase Polymerase Chain ReactionRisk

Identifiers

PMID19607694
PMCPMC3087328
OpenAlexW2000790129

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.