Association of AGTR1 (A1166C) and ACE (I/D) Polymorphisms with Breast Cancer Risk in North Indian Population

Singh, Anukriti; Srivastava, Nidhi; Amit, Sonal; Prasad, Shiva; Misra, Malvika; Ateeq, Bushra

doi:10.1016/j.tranon.2017.12.007

Cited by 30 publications

(30 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To evaluate the robustness of the association results, a meta-analysis was performed repeatedly with each study removed. The results indicated that a total of 20 case-control studies (Alves Corrêa et al, 2009;Felipe et al, 2011;Fishchuk and Gorovenko, 2013;Ghosh Roy et al, 2015;Gonzalez-Zuloeta Ladd et al, 2005;Haiman et al, 2003;van der Knaap et al, 2008;Koh et al, 2003;Kumar et al, 2016;Mendizábal-Ruiz et al, 2011;Namazi et al, 2010;El Sharkawy et al, 2014;Siddiqi et al, 2010;Singh et al, 2018;Xiaomei et al, 2014;Yaren et al, 2007Yaren et al, , 2006 were included in our meta-analysis, consisting of 2,846 cases 9,299 controls. The detailed characteristics of the included studies are listed in Table 1.…”

Section: Sensitivity Analysismentioning

confidence: 98%

Angiotensin Converting Enzyme Insertion/Deletion Polymorphism is Associated with Breast Cancer Risk: A Meta-Analysis

Moghimi

Kargar

Jafari

et al. 2018

Asian Pac J Cancer Prev

View full text Add to dashboard Cite

Background:A number of case-control studies were conducted to investigate the association of angiotensin converting enzyme insertion/deletion (ACE I/D) polymorphism with breast cancer. But the results remain controversial. This meta-analysis aims to comprehensively evaluate the association of ACE I/D polymorphism with breast cancer.Method:A comprehensive literature search on PubMed, Google Scholar, SCOPUS and ISI Web of Knowledge databases for studies published up to June 01, 2018 was performed. Summary odds ratios (ORs) and 95% confidence intervals (CI) were estimated. Publication bias of literatures was evaluated using funnel plots and Egger’s test.Results:A total of 20 studies including 2846 breast cancer cases 9299 controls meeting the predefined criteria were involved in the meta-analysis. Overall, the ACE I/D polymorphisms was significantly associated with breast cancer under the allele model (I vs. D: OR= 0.803, 95% CI 0.647-0.996, p=0.046), the homozygote model (II vs. DD: OR= 0.662, 95% CI 0.462-0.947, p=0.024), the heterozygote model (ID vs. DD: OR= 0.707, 95% CI 0.528-0.946, p=0.020), the dominant model (II+ID vs. DD: OR= 0.691, 95% CI 0.507-0.941, p=0.019). In the subgroup analysis by ethnicity, a significant association was found among Asian and Caucasian populations, but not among mixed populations.Conclusions:This meta-analysis suggests that ACE I/D polymorphism may be associated with increased risk of breast cancer, especially among Asian and Caucasians. However, well-designed studies with larger sample size and more ethnic groups are needed to further validate the results.

show abstract

Section: Sensitivity Analysismentioning

confidence: 98%

Angiotensin Converting Enzyme Insertion/Deletion Polymorphism is Associated with Breast Cancer Risk: A Meta-Analysis

Moghimi

Kargar

Jafari

et al. 2018

Asian Pac J Cancer Prev

View full text Add to dashboard Cite

show abstract

“…AGTR1 played a critical role in several diseases and was considered as a therapeutic target in ER‐positive and ERBB‐negative breast cancer cases . Related research reported that women harboring the AGTR1 “AC or CC” genotype/C allele and the ACE (I/D) genotype/D allele might develop more aggressive disease with advanced staging . Ronde et al .…”

Section: Discussionmentioning

confidence: 99%

“…25 Related research reported that women harboring the AGTR1 "AC or CC" genotype/C allele and the ACE (I/D) genotype/D allele might develop more aggressive disease with advanced staging. 26 Ronde et al 27 reported that SERPINA6, BEX1, AGTR1, SLC26A3 and LAPTM4B were considered as the markers of resistance to neoadjuvant chemotherapy in HER2-negative breast cancer. In addition, genetic polymorphisms in AGTR1 (A-168G, C-535 T and T-825A) were related to risk of breast cancer in 258 breast cancer cases and 670 female controls in the Singapore Chinese Health Study.…”

Section: Discussionmentioning

confidence: 99%

Identification of key molecular targets that correlate with breast cancer through bioinformatic methods

Tang

Guo

Niu

et al. 2020

The Journal of Gene Medicine

View full text Add to dashboard Cite

Background The present study aimed to identify key molecular targets of breast cancer for targeted treatment and to improve the survival rate. Methods Overlapped difference expression genes in three datasets were identified in a weighted gene co‐expression network analysis (WGCNA) module and MetaDE.ES analysis. Combined with the prognosis information [time, death, status and relative survival (RS)] in GSE42568, single‐factor Cox regression analysis was used to screen the genes that were significantly related to the prognosis in the target gene set. Results In total, 13 optimal gene combinations with a significantly correlated prognosis were obtained, including SSPN, NELL2, AGTR1, NRIP3, IKZF2, NAT1, CXCL12, NPY1R, PRAME, PPP1R1B, CRISP3, NMU and GSTP1. In addition, there was a significant correlation between the samples given by the prognostic prediction system and the validation dataset (GSE20685 and TCGA), with p values of 0.0299 in GSE20685 and 1.461 × 10–5 in TCGA, and an area under the receiver operating characteristic of 0.942 and 0.923, respectively. RS‐related differentially expressed genes between high‐ and low‐risk groups were significantly related to biological processes such as cell period and the hormone stimulation response, and were also significantly involved in KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways such as cell period, the peroxisome proliferator‐activated receptor signaling pathway and the cancer pathway. Conclusions By predicting the survival risk of breast cancer patients based on the 13 optimal genes, high‐risk patients would be detected early. Accordingly, this would help in the formulation of an appropriate treatment plan for patients.

show abstract

“…However, the scenario in Indian context apart from East Asian (China and Korea) populations characterized with low D allele frequencies, 40 similar characteristic found in South Asian (India) population as well. Nevertheless, studies from different states of Indian population on ACE I/D gene polymorphism shows higher frequency of I allele which can be a reason for lower prevalence of SARS-CoV-2 in Indian population [41][42][43][44][45] and might be the subject matter of research on epidemiological and public health perspectives in terms of differential spread of SARS-CoV-2 in different regions.…”

Section: Virus and Host Genetics Polymorphismmentioning

confidence: 99%

COVID 19: An Epidemiological and Host Genetics Appraisal

et al. 2020

View full text Add to dashboard Cite

Coronaviruses (CoVs) is a single single-strand RNA genome approximately 26 - 32 kb in size. Out of the seven coronaviruses, three HCoVs (Human CoVs) have been discovered that causes severe pneumonia such as Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) and recently recognized SARS-CoV-2, which possesses varying degrees of lethality worldwide and happened to be bioterrorism in terms of the recent outbreak through human-to-human transmission from China to all over the world. Epidemiological and Clinical study on SARS-COV-2 have recently been reported world-wide but lack of data on prognosis factors including effective medicine or vaccine are yet to be clinically approved to prevent this infectious disease. Human pathogenic coronaviruses SARS-CoV-2 bind to their target cells through ACE2, which is expressed by epithelial cells of the lung, intestine, kidney, and blood vessels. The difference in distribution, maturation, and functioning of viral receptors could be considered as a possible reason for the genetic heterogeneity of ACE2, and age and sex related difference in the incidence of the disease such as, the positive correlation with ACE2 expression and age including the severity of the infection of SARS-CoV-2. Since the ACE2 location in X chromosome, therefore, the males presumable might have more morbidity and mortality by SARS-CoV-2 than females due to sex-based immunological differences like greater observable circulating level of ACE2 in males or else it may be due to the patterns of life style variables such as prevalence of smoking among the males. Additionally, the Angiotensin-Converting Enzyme 1 (ACE1) is characterized by a genetic insertion/deletion (I/D) polymorphism in intron 16, which is associated with alterations in circulating and tissue concentrations of ACE, where the study reported as D allele is associated with a reduced expression of ACE2. Nevertheless, studies from different states of Indian population on ACE I/D gene polymorphism shows higher frequency of I allele which might explain the lower prevalence of SARS-CoV-2 in Indian population and consequently be subject matter of research of SARS-CoV-2 on epidemiological and public health issues.

show abstract

Association of AGTR1 (A1166C) and ACE (I/D) Polymorphisms with Breast Cancer Risk in North Indian Population

Cited by 30 publications

References 42 publications

Angiotensin Converting Enzyme Insertion/Deletion Polymorphism is Associated with Breast Cancer Risk: A Meta-Analysis

Angiotensin Converting Enzyme Insertion/Deletion Polymorphism is Associated with Breast Cancer Risk: A Meta-Analysis

Identification of key molecular targets that correlate with breast cancer through bioinformatic methods

COVID 19: An Epidemiological and Host Genetics Appraisal

Contact Info

Product

Resources

About