Evidence map›Paper›PMID 21455574›Full record

ArticleInternational journal of oncology2011

IGF gene polymorphisms and breast cancer in African-American and Hispanic women.

Marianna Sarkissyan, Dhruva Kumar Mishra, Yanyuan Wu, Xiying Shang, Suren Sarkissyan, Jaydutt V Vadgama

Open access · bronzeAbstract read
In one paragraph

Article in International journal of oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
1.4field-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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Genomic Disparities in Breast Cancer Among Latinas.Cancer control : journal of the Moffitt Cancer Center · 2016
    Article
  7. Review
  8. IGF-I CA19 repeat polymorphisms and cancer risk: a meta-analysis.International journal of clinical and experimental medicine · 2015
    Article
  9. Article
  10. Article
  11. Article
  12. 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.

Marianna SarkissyanDivision of Cancer Research and Training, Center to Eliminate Cancer Health Disparities, Department of Internal Medicine, Charles Drew University of Medicine and Science, Los Angeles, CA 90059, USA.
Dhruva Kumar Mishra
Yanyuan Wu
Xiying Shang
Suren Sarkissyan
Jaydutt V Vadgama
Charles R. Drew University of Medicine and Science · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Supporting African American Churches to Promote Cancer ScreeningU54CA143931 · NCI · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI VADGAMA, JAYDUTT V. · 2009 to 2022
$19.7M
Drew/UCLA Cancer Partnership ProgramU56CA101599 · NCI · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI VADGAMA, JAYDUTT V. · 2003 to 2009
$1.3M
Charles R. Drew Student Scholar ProgramR25DK067015 · NIDDK · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI VADGAMA, JAYDUTT V · 2003 to 2007
$226k
NCI NIH HHS BC043180NCI NIH HHS CA15083-25S3NCI NIH HHS N01 CA015083NCI NIH HHS P30 CA015083NCI NIH HHS U54 CA14393NCI NIH HHS U54 CA143931NCI NIH HHS U56 CA101599NIDDK NIH HHS R25 DK067015NIDDK NIH HHS R25DK067015-01
6 · The paper itself

Abstract

Previous studies from our group and others have shown that increased circulatory levels of the ligand insulin-like growth factor 1 (IGF-1) and decreased levels of the predominant IGF-1 binding protein 3 (IGFBP-3) are associated with an increased incidence of breast cancer and poor outcome. Some studies suggest that, in addition to the influence of environmental factors on the levels of IGF-1 and IGFBP-3, alterations in their gene polymorphisms may play a significant role in the risk of cancer. In this study, we investigated the association between gene polymorphisms along the IGF axis and breast cancer, including the IGF-1 (CA) dinucleotide repeat, IGFBP-3 A-202C single nucleotide polymorphism, and the 2-bp deletion and (AGG)n repeat polymorphisms in the IGF type 1 receptor (IGF-IR). A total of 654 subjects, including both African-American and Hispanic/Latino subjects, were screened for various gene polymorphisms. IGF gene polymorphism genotyping was performed by PCR-GeneScan and PCR-RFLP methods. Our results demonstrated a significant association between the non-19/non-19 IGF-1 (CA)n polymorphism and breast cancer (OR = 1.75; 95% CI = 1.07-2.88; P = 0.027). Furthermore, absence of the wild-type-19 allele and alleles <(CA)19 were strongly associated with breast cancer (OR = 1.82; 95% CI = 1.20-2.77; P = 0.005 and OR = 1.70; 95% CI = 1.19-2.43; P = 0.003, respectively). The association of the non-19/non-19 polymorphism with breast cancer was also more significant in premenopausal women (P = 0.04). We did not find any significant association of the IGFBP-3 polymorphism with breast cancer. In the case of IGF-1R polymorphisms, the only significant trend was in the (AGG)5 allele; however, the frequency of this allele was very rare. In summary, our study demonstrated a significant association of IGF-1 polymorphisms and breast cancer. Future studies are necessary to understand the mechanistic value of these polymorphisms in breast cancer risk.

Indexed as

Polymorphism, GeneticAdultAllelesBlack or African AmericanBreast NeoplasmsFemaleGenotypeHispanic or LatinoHumansInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IMiddle AgedReceptor, IGF Type 1United StatesInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IReceptor, IGF Type 1

Identifiers

PMID21455574
PMCPMC3743668
OpenAlexW2083471178

What OpenQuestion holds

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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.