Evidence map›Paper›PMID 19439911›Full record

ArticleJournal of carcinogenesis2009

Identification of possible genetic alterations in the breast cancer cell line MCF-7 using high-density SNP genotyping microarray.

Hui-Yun Wang, Danielle Greenawalt, Xiangfeng Cui, Irina V Tereshchenko, Minjie Luo, Qifeng Yang, Marco A Azaro, Guohong Hu, Yi Chu, James Y Li and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of carcinogenesis, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

14 authors at 3 institutions in 1 country.

Hui-Yun WangDepartment of Molecular Genetics, Microbiology and Immunology/The Cancer Institute of New Jersey, Piscataway, New Jersey, 08854, USA.
Danielle Greenawalt
Xiangfeng Cui
Irina V Tereshchenko
Minjie Luo
Qifeng Yang
Marco A Azaro
Guohong Hu
Yi Chu
James Y Li
Li Shen
Yong Lin
Lianjun Zhang
Honghua Li
Rutgers, The State University of New Jersey · USRutgers Cancer Institute · USState University of New York · US

Funding

A Genetic Approach to Genome-scale Analysis of CancersR33CA096309 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI LI, HONGHUA · 2002 to 2004
$2.0M
ESTABLISHING A ROBUST MULTIPLEX SNP-SCORING SYSTEMR01HG002094 · NHGRI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI LI, HONGHUA · 2000 to 2003
$1.7M
NCI NIH HHS R33 CA096309NHGRI NIH HHS R01 HG002094
6 · The paper itself

Abstract

contextCancer cell lines are used extensively in various research. Knowledge of genetic alterations in these lines is important for understanding mechanisms underlying their biology. However, since paired normal tissues are usually unavailable for comparison, precisely determining genetic alterations in cancer cell lines is difficult. To address this issue, a highly efficient and reliable method is developed.

aimsEstablishing a highly efficient and reliable experimental system for genetic profiling of cell lines. MATERIALS AND

methodsA widely used breast cancer cell line, MCF-7, was genetically profiled with 4,396 single nucleotide polymorphisms (SNPs) spanning 11 whole chromosomes and two other small regions using a newly developed high-throughput multiplex genotyping approach.

resultsThe fractions of homozygous SNPs in MCF-7 (13.3%) were significantly lower than those in the control cell line and in 24 normal human individuals (25.1% and 27.4%, respectively). Homozygous SNPs in MCF-7 were found in clusters. The sizes of these clusters were significantly larger than the expected based on random allelic combination. Fourteen such regions were found on chromosomes 1p, 1q, 2q, 6q, 13, 15q, 16q, 17q and 18p in MCF-7 and two in the small regions.

conclusionsThese results are generally concordant with those obtained using different approaches but are better in defining their chromosomal positions. The used approach provides a reliable way to detecting possible genetic alterations in cancer cell lines without paired normal tissues.

Identifiers

PMID19439911
PMCPMC2687141
OpenAlexW2041559863

What OpenQuestion holds

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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.