Transiently increased risk of breast cancer after childbirth: implications for fertility treatments and surrogacy

Abstract Whereas longstanding dogma has purported that pregnancies protect women from breast cancer, a recent meta-analysis now mandates reconsideration since it reported an actual higher breast cancer risk for more than two decades after childbirth before the relative risk turns negative. Moreover, the risk of breast cancer appears higher for women having their first birth at an older age and with a family history and it is not reduced by breastfeeding. The process of obtaining informed consent for all fertility treatments, therefore, must make patients aware of the facts that every pregnancy, to a small degree, will increase the short-term breast cancer risk. This observation may be even more relevant in cases of surrogacy where women agree to conceive without deriving benefits of offspring from assuming the risk, thus creating a substantially different risk-benefit ratio. Consequently, it appears prudent for professional societies in the field to update recommendations regarding consent information for all fertility treatments but especially for treatments involving surrogacy.

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Association of PIN3 16-bp Duplication Polymorphism of TP53 gene with Breast Cancer Risk in Mali and A Meta-analysis.

10.21203/rs.2.19205/v2 ◽

2020 ◽

Author(s):

Brehima Diakite ◽

Yaya Kassogue ◽

Guimogo Dolo ◽

Oumar Kassogue ◽

Mamadou Lassine Keita ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Meta Analysis ◽

Tp53 Gene ◽

Case Control ◽

Recessive Model ◽

Case Control Studies ◽

Random Effects Models ◽

Increased Risk

Abstract Background. Breast cancer, the most common tumor in women in Mali and worldwide has been linked to several risk factors, including genetic factors, such as the PIN3 16-bp duplication polymorphism of TP53 gene. The aim of our study was to evaluate the role of the PIN3 16-bp duplication polymorphism in the susceptibility to breast cancer in the Malian population and to perform a meta-analysis to better understand the correlation with data from other populations.Methods. We analyzed the PIN3 16-bp duplication polymorphism in blood samples of 60 Malian women with breast cancer and 60 healthy appearing Malian women using PCR. In addition, we performed a meta-analysis of data from case-control studies published in articles retrieved from international databases (Pubmed, Harvard University Library, Genetics Medical Literature Database, Genesis Library and Web of Science). Overall, odds ratio (OR) with 95% CI from fixed and random effects models were determined. Inconsistency was used to assess heterogeneity between studies and publication bias was estimated using the funnel plot.Results. In the studied Malian patients, a significant association of PIN3 16-bp duplication polymorphism with breast cancer risk was observed in dominant (A1A2+A2A2 vs. A1A1: OR = 2.26, CI 95% = 1.08-4.73; P = 0.02) and additive (A2 vs. A1: OR =1.87, CI 95% = 1.05-3.33; P = 0.03) models, but not the recessive model (P = 0.38). In the meta-analysis, nineteen (19) articles were included with a total of 6,018 disease cases and 4,456 controls. Except for the dominant model (P = 0.15), an increased risk of breast cancer was detected with the recessive (OR=1.46, 95% CI = 1.15-1.85; P = 0.002) and additive (OR = 1.11, 95% CI = 1.02-1.19; P = 0.01) models.Conclusion. The Malian case-control study suggests that PIN3 16-bp polymorphism duplication of TP53 gene is an important risk factor for breast cancer in Malian women. These findings are supported by the meta-analysis of studies from different ethnicities.

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OGG1 Mutations and Risk of Female Breast Cancer: Meta-Analysis and Experimental Data

Disease Markers ◽

10.1155/2015/690878 ◽

2015 ◽

Vol 2015 ◽

pp. 1-16 ◽

Cited By ~ 12

Author(s):

Kashif Ali ◽

Ishrat Mahjabeen ◽

Maimoona Sabir ◽

Humera Mehmood ◽

Mahmood Akhtar Kayani

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Splice Site ◽

Nonsense Mutation ◽

Mutational Analysis ◽

Germ Line ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Increased Risk

In first part of this study association between OGG1 polymorphisms and breast cancer susceptibility was explored by meta-analysis. Second part of the study involved 925 subjects, used for mutational analysis of OGG1 gene using PCR-SSCP and sequencing. Fifteen mutations were observed, which included five intronic mutations, four splice site mutations, two 3′UTR mutations, three missense mutations, and a nonsense mutation. Significantly (p<0.001) increased (~29 fold) breast cancer risk was associated with a splice site variant g.9800972T>G and 3′UTR variant g.9798848G>A. Among intronic mutations, highest (~15 fold) increase in breast cancer risk was associated with g.9793680G>A (p<0.009). Similarly ~14-fold increased risk was associated with Val159Gly (p<0.01), ~17-fold with Gly221Arg (p<0.005), and ~18-fold with Ser326Cys (p<0.004) in breast cancer patients compared with controls, whereas analysis of nonsense mutation showed that ~13-fold (p<0.01) increased breast cancer risk was associated with Trp375STOP in patients compared to controls. In conclusion, a significant association was observed between OGG1 germ line mutations and breast cancer risk. These findings provide evidence that OGG1 may prove to be a good candidate of better diagnosis, treatment, and prevention of breast cancer.

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Mechanism and preclinical prevention of increased breast cancer risk caused by pregnancy

eLife ◽

10.7554/elife.00996 ◽

2013 ◽

Vol 2 ◽

Cited By ~ 25

Author(s):

Svasti Haricharan ◽

Jie Dong ◽

Sarah Hein ◽

Jay P Reddy ◽

Zhijun Du ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Normal Breast ◽

Human Breast ◽

Increase Cancer Risk ◽

Short Term ◽

Early Lesions ◽

Risk Pregnancy ◽

Increased Risk

While a first pregnancy before age 22 lowers breast cancer risk, a pregnancy after age 35 significantly increases life-long breast cancer risk. Pregnancy causes several changes to the normal breast that raise barriers to transformation, but how pregnancy can also increase cancer risk remains unclear. We show in mice that pregnancy has different effects on the few early lesions that have already developed in the otherwise normal breast—it causes apoptosis evasion and accelerated progression to cancer. The apoptosis evasion is due to the normally tightly controlled STAT5 signaling going astray—these precancerous cells activate STAT5 in response to pregnancy/lactation hormones and maintain STAT5 activation even during involution, thus preventing the apoptosis normally initiated by oncoprotein and involution. Short-term anti-STAT5 treatment of lactation-completed mice bearing early lesions eliminates the increased risk after a pregnancy. This chemoprevention strategy has important implications for preventing increased human breast cancer risk caused by pregnancy.

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Association of PIN3 16-bp Duplication Polymorphism of TP53 gene with Breast Cancer Risk in Mali and A Meta-analysis.

10.21203/rs.2.19205/v1 ◽

2019 ◽

Author(s):

Brehima Diakite ◽

Yaya Kassogue ◽

Guimogo Dolo ◽

Oumar Kassogue ◽

Mamadou Lassine Keita ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Meta Analysis ◽

Tp53 Gene ◽

Case Control ◽

Recessive Model ◽

Case Control Studies ◽

Random Effects Models ◽

Increased Risk

Abstract Background Breast cancer, the most common tumor in women in Mali and worldwide has been linked to several risk factors including genetic factors, such as the PIN3 16-bp duplication polymorphism of TP53 gene. The aim of our study was to evaluate the role of the PIN3 16-bp duplication polymorphism in the susceptibility to breast cancer in the Malian population and to perform a meta-analysis to better understand the correlation with data from other populations.Methods We analyzed the PIN3 16-bp duplication polymorphism in blood samples of 60 Malian women with breast cancer and 60 healthy appearing Malian women using PCR. In addition, we performed a meta-analysis of data from case-control studies published in articles retrieved from international databases (Pubmed, Harvard University Library, Genetics Medical Literature Database, Genesis Library and Web of Science). Overall, odds ratio (OR) with 95% CI from fixed and random effects models were determined. Inconsistency was used to assess heterogeneity between studies and publication bias was estimated using the funnel plot.ResultsIn the Malian patients studied here, a significant association of PIN3 16-bp duplication polymorphism with breast cancer risk was observed in dominant (A1A2+A2A2 vs. A1A1: OR = 2.26, CI 95% = 1.08-4.73; P = 0.02) and additive (A2 vs. A1: OR =1.87, CI 95% = 1.05-3.33; P = 0.03) models, but not the recessive model ( P = 0.38). In the meta-analysis, nineteen (19) articles were included with a total of 6,018 disease cases and 4,456 controls. Except for the dominant model ( P = 0.15), an increased risk of breast cancer was detected with the recessive (OR=1.46, 95% CI = 1.15-1.85; P = 0.002) and additive (OR = 1.11, 95% CI = 1.02-1.19; P = 0.01) models.Conclusion The Malian case-control study suggests that PIN3 16-bp polymorphism duplication of TP53 gene is an important risk factor for breast cancer in Malian women. These data are supported by the meta-analysis of broader ethnic and population groups.

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Association of the Three Common SNPs of Cyclooxygenase-2 Gene (rs20417, rs689466, and rs5275) with the Susceptibility of Breast Cancer: An Updated Meta-Analysis Involving 34,590 Subjects

Disease Markers ◽

10.1155/2014/484729 ◽

2014 ◽

Vol 2014 ◽

pp. 1-9 ◽

Cited By ~ 5

Author(s):

Zhi-Jun Dai ◽

Yong-Ping Shao ◽

Xiao-Bin Ma ◽

Dan Xu ◽

Wei Tang ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Meta Analysis ◽

Cyclooxygenase 2 ◽

Nucleotide Polymorphisms ◽

Single Nucleotide ◽

Increased Risk ◽

Cancer Types ◽

Cox 2

Several single nucleotide polymorphisms have been identified in cyclooxygenase-2 (COX-2) genes (e.g., −765 G>C (rs20417), −1195G>A (rs689466), and 8473 C>T (rs5275)). The association of these SNPs with the risk of different cancer types is still controversial. This study aims to evaluate the correlation between these SNPs and breast cancer risk in different ethnic groups. We have searched PubMed, Web of Knowledge, and Embase for relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to estimate the strength of the associations. A total of 13 studies (15,330 cases and 19,260 controls) were eligible for meta-analysis. This meta-analysis showed that COX-2 rs20417 polymorphism was correlated with an increased risk of breast cancer in Caucasians, while rs689466 was associated with a decreased risk of breast cancer in Caucasians. The rs5275 polymorphism had no association with breast cancer risk.

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Mammographic Density Changes over Time and Breast Cancer Risk: A Systematic Review and Meta-Analysis

Cancers ◽

10.3390/cancers13194805 ◽

2021 ◽

Vol 13 (19) ◽

pp. 4805

Author(s):

Arezo Mokhtary ◽

Andreas Karakatsanis ◽

Antonis Valachis

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Cohort Studies ◽

Mammographic Density ◽

Breast Density ◽

Meta Analysis ◽

Increased Risk ◽

Changes Over Time ◽

Over Time

The aim of this meta-analysis was to evaluate the association between mammographic density changes over time and the risk of breast cancer. We performed a systematic literature review based on the PubMed and ISI Web of Knowledge databases. A meta-analysis was conducted by computing extracted hazard ratios (HRs) and 95% confidence intervals (CIs) for cohort studies or odds ratios (ORs) and 95% confidence interval using inverse variance method. Of the nine studies included, five were cohort studies that used HR as a measurement type for their statistical analysis and four were case–control or cohort studies that used OR as a measurement type. Increased breast density over time in cohort studies was associated with higher breast cancer risk (HR: 1.61; 95% CI: 1.33–1.96) whereas decreased breast density over time was associated with lower breast cancer risk (HR: 0.78; 95% CI: 0.71–0.87). Similarly, increased breast density over time was associated with higher breast cancer risk in studies presented ORs (pooled OR: 1.85; 95% CI: 1.29–2.65). Our findings imply that an increase in breast density over time seems to be linked to an increased risk of breast cancer, whereas a decrease in breast density over time seems to be linked to a lower risk of breast cancer.

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ERCC1 rs11615 polymorphism increases susceptibility to breast cancer: a meta-analysis of 4547 individuals

Bioscience Reports ◽

10.1042/bsr20180440 ◽

2018 ◽

Vol 38 (3) ◽

Cited By ~ 3

Author(s):

Bingjie Li ◽

Xiaoqing Shi ◽

Yingying Yuan ◽

Mengle Peng ◽

Huifang Jin ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Cancer Susceptibility ◽

Excision Repair ◽

Meta Analysis ◽

Asian Population ◽

Dominant Model ◽

Case Control Studies ◽

Increased Risk

Excision repair cross-complementation group 1 (ERCC1), a DNA repair protein, is vital for maintaining genomic fidelity and integrity. Despite the fact that a mounting body of case–control studies has concentrated on investigating the association of the ERCC1 rs11615 polymorphism and breast cancer risk, there is still no consensus on it. We conducted the current meta-analysis of all eligible articles to reach a much more explicit conclusion on this ambiguous association. A total of seven studies involving 2354 breast cancer cases and 2193 controls were elaborately selected for this analysis from the Embase, EBSCO, PubMed, WanFang, and China National Knowledge Infrastructure (CNKI) databases. Pooled odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated in our meta-analysis. We found that the ERCC1 rs11615 polymorphism was significantly associated with breast cancer risk under all genetic models. When excluded, the studies that deviated from Hardy–Weinberg equilibrium (HWE), the pooled results of what remained significantly increase the risk of breast cancer under the allele model (OR = 1.14, 95% CI = 1.02–1.27, P=0.02), heterozygote model (OR = 1.24, 95% CI = 1.06–1.44, P=0.007), and dominant model (OR = 1.21, 95% CI = 1.05–1.41, P=0.01). This increased breast cancer risk was found in Asian population as well as under the heterozygote model (OR = 1.24, 95% CI = 1.05–1.48, P=0.013) and dominant model (OR = 1.20, 95% CI = 1.02–1.42, P=0.03). Our results suggest that the ERCC1 rs11615 polymorphism is associated with breast cancer susceptibility, and in particular, this increased risk of breast cancer existence in Asian population.

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Association of PIN3 16-bp Duplication Polymorphism of TP53 gene with Breast Cancer Risk in Mali and A Meta-analysis.

10.21203/rs.2.19205/v3 ◽

2020 ◽

Author(s):

Brehima Diakite ◽

Yaya Kassogue ◽

Guimogo Dolo ◽

Oumar Kassogue ◽

Mamadou Lassine Keita ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Case Control Study ◽

Meta Analysis ◽

Significant Risk ◽

Significant Risk Factor ◽

Case Control ◽

Increased Risk ◽

Control Study

Abstract Background. Breast cancer, the most common tumor in women in Mali and worldwide has been linked to several risk factors, including genetic factors, such as the PIN3 16-bp duplication polymorphism of TP53. The aim of our study was to evaluate the role of the PIN3 16-bp duplication polymorphism in the susceptibility to breast cancer in the Malian population and to perform a meta-analysis to better understand the correlation with data from other populations.Methods. We analyzed the PIN3 16-bp duplication polymorphism in blood samples of 60 Malian women with breast cancer and 60 healthy Malian women using PCR. In addition, we performed a meta-analysis of case-control study data from international databases, including Pubmed, Harvard University Library, Genetics Medical Literature Database, Genesis Library and Web of Science. Overall, odds ratio (OR) with 95% CI from fixed and random effects models were determined. Inconsistency was used to assess heterogeneity between studies and publication bias was estimated using the funnel plot.Results. In the studied Malian patients, a significant association of PIN3 16-bp duplication polymorphism with breast cancer risk was observed in dominant (A1A2+A2A2 vs. A1A1: OR = 2.26, CI 95% = 1.08-4.73; P = 0.02) and additive (A2 vs. A1: OR =1.87, CI 95% = 1.05-3.33; P = 0.03) models, but not in the recessive model (P = 0.38). In the meta-analysis, nineteen (19) articles were included with a total of 6,018 disease cases and 4,456 controls. Except for the dominant model (P = 0.15), an increased risk of breast cancer was detected with the recessive (OR=1.46, 95% CI = 1.15-1.85; P = 0.002) and additive (OR = 1.11, 95% CI = 1.02-1.19; P = 0.01) models.Conclusion. The case-control study showed that PIN3 16-bp duplication polymorphism of TP53 is a significant risk factor for breast cancer in Malian women. These findings are supported by data from the meta-analysis carried out on different ethnic groups around the world.

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Association of PIN3 16-bp Duplication Polymorphism of TP53 with Breast Cancer Risk in Mali and A Meta-analysis.

10.21203/rs.2.19205/v4 ◽

2020 ◽

Author(s):

Brehima Diakite ◽

Yaya Kassogue ◽

Guimogo Dolo ◽

Oumar Kassogue ◽

Mamadou Lassine Keita ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Case Control Study ◽

Meta Analysis ◽

Significant Risk ◽

Significant Risk Factor ◽

Case Control ◽

Increased Risk ◽

Control Study

Abstract Background. Breast cancer, the most common tumor in women in Mali and worldwide has been linked to several risk factors, including genetic factors, such as the PIN3 16-bp duplication polymorphism of TP53. The aim of our study was to evaluate the role of the PIN3 16-bp duplication polymorphism in the susceptibility to breast cancer in the Malian population and to perform a meta-analysis to better understand the correlation with data from other populations.Methods. We analyzed the PIN3 16-bp duplication polymorphism in blood samples of 60 Malian women with breast cancer and 60 healthy Malian women using PCR. In addition, we performed a meta-analysis of case-control study data from international databases, including Pubmed, Harvard University Library, Genetics Medical Literature Database, Genesis Library and Web of Science. Overall, odds ratio (OR) with 95% CI from fixed and random effects models were determined. Inconsistency was used to assess heterogeneity between studies and publication bias was estimated using the funnel plot.Results. In the studied Malian patients, a significant association of PIN3 16-bp duplication polymorphism with breast cancer risk was observed in dominant (A1A2+A2A2 vs. A1A1: OR = 2.26, CI 95% = 1.08-4.73; P = 0.02) and additive (A2 vs. A1: OR =1.87, CI 95% = 1.05-3.33; P = 0.03) models, but not in the recessive model (P = 0.38). In the meta-analysis, nineteen (19) articles were included with a total of 6,018 disease cases and 4,456 controls. Except for the dominant model (P = 0.15), an increased risk of breast cancer was detected with the recessive (OR=1.46, 95% CI = 1.15-1.85; P = 0.002) and additive (OR = 1.11, 95% CI = 1.02-1.19; P = 0.01) models.Conclusion. The case-control study showed that PIN3 16-bp duplication polymorphism of TP53 is a significant risk factor for breast cancer in Malian women. These findings are supported by data from the meta-analysis carried out on different ethnic groups around the world.

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The polymorphism of miR-146a (rs2910164) and Breast Cancer Risk: A Meta-analysis of 17 Studies

MicroRNA ◽

10.2174/2211536609666201125115019 ◽

2020 ◽

Vol 09 ◽

Author(s):

Maryam Moossavi ◽

Maryam Shojaee ◽

Mahsa Musavi ◽

Reza Ibrahimi ◽

Mostafa Ibrahimi ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Genetic Model ◽

Meta Analysis ◽

P Value ◽

Nucleotide Polymorphisms ◽

Multicenter Studies ◽

Single Nucleotide ◽

Increased Risk

Background: Single-nucleotide polymorphisms (SNPs) in genes responsible for coding microRNAs (miRNAs) are shown to be crucial in progression of breast cancer (BC). Objective: The purpose of this meta-analysis is to obtain more definitive and reliable results due to the ambiguity and inconsistency of the previous findings in this regard. This study aimed at clarifying the association of mir14a polymorphisms with breast cancer. Method: We searched PubMed, EMBASE, Web of Science and Google Scholar databases for papers published before August 10, 2019. Afterward, genotypes’ distribution, genotyping methods and ethnicity groups were extracted and Overall analyses were conducted. A total number of seventeen researches on 7676 subjects and 7476 controls were found to meet our criteria in this meta-analysis. Results: our observations confirmed the increased risk in breast cancer with rs 2910164 polymorphism in three genetic models: allele contrast fixed genetic model, Recessive fixed genetic model and CC vs. GG genetic model (P value 0.0109, 0.0404 and 0.0019 respectively). Conclusion: the rs2910164 polymorphism is associated with increased breast cancer risk. We suggest that more multicenter studies with larger samples investigate this matter to further clarify the association and verify our findings.

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