SynthesisMolecular biology reports2013
The genetic polymorphisms of intercellular cell adhesion molecules and breast cancer susceptibility: a meta-analysis.
Synthesis in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Identification of therapeutic targets in lung adenocarcinoma using Mendelian randomization and multi-omics.Discover oncology · 2025Article
- Molecular Insights into Cell-Mediated Immunity in Atypical Non-Ulcerated Cutaneous Leishmaniasis.Microorganisms · 2025Article
- Optical Imaging of Triple-Negative Breast Cancer Cells in Xenograft Athymic Mice Using an ICAM-1-Targeting Small-Molecule Probe.Molecular imaging and biology · 2019Article
- Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility.Molecular systems biology · 2016Article
- Pharmacogenetics of cancer therapy: breakthroughs from beyond?Future science OA · 2015Review
- Impacts of ICAM-1 gene polymorphisms on urothelial cell carcinoma susceptibility and clinicopathologic characteristics in Taiwan.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Article
- ICAM-1 +469 A/G polymorphism and cancer risk: a meta-analysis involving 9375 subjects.International journal of clinical and experimental medicine · 2014Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intercellular cell adhesion molecules (ICAMs) genetic polymorphisms have been considered to be implicated in the development of breast cancer. However, the previous reports are conflicting. Therefore, we performed a meta-analysis to assess the association between three polymorphisms, including ICAM1 K469E, ICAM5 V301I, ICAM5 rs281439, and breast cancer risk. The meta-analyses are based on a literature search of PubMed, CNKI and VIP database up until August 2011. Pooled odds ratio (OR) with 95 % confidence interval (CI) was calculated using review manager 5.0.25 package. In total, five populations (2,020 cases and 2,012 controls) on ICAM1 K469E polymorphism, four populations (1,797 cases and 2,244 controls) on ICAM5 V301I polymorphism and five populations (2,744 cases and 3,006 controls) on ICAM5 rs281439 variant were included. Overall, the meta-analysis showed no significant association between ICAM1 K469E polymorphism and breast cancer risk. However, a significant association was observed for ICAM5 V301I polymorphism (VV vs. II: OR = 1.48, 95 % CI 1.04-2.13, P = 0.03; VV/VI vs. II: OR = 1.25, 95 % CI 1.05-1.48, P = 0.01). In addition, there was a significant association between ICAM5 rs281439 variant and breast cancer risk (GG vs. CC: OR = 1.31, 95 % CI 1.03-1.65, P = 0.03). Our meta-analysis suggests that the ICAM5 V301I and rs281439 variants but not ICAM1 K469E polymorphism may contribute to the susceptibility of breast cancer. Given the limited sample sizes, further investigation is needed.
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