scholarly journals A Comprehensive Screening Strategy of Breast Cancer Based on Different Penetrance Susceptibility Genes in Healthy Han Chinese Females

2021 ◽  
Author(s):  
Ling Hu ◽  
Chengbi Wu ◽  
Ping Liu ◽  
Lanbin Jiang ◽  
Yuntao Guo ◽  
...  

Abstract Background: Morbidity and mortality associated with breast cancer (BC) had increased rapidly in China. Early screening and intervention could greatly reduce the risk of hereditary BC. Several risk models had been utilized over the last decades to predict individual BC risk, but most of them didn’t assess the polygenic risk of low-penetrant genes. A novel screening method integrating different penetrance susceptibility genes was eagerly needed.Methods: Twenty-three variants of high and moderate penetrance susceptibility genes (HVs) and twenty loci of low penetrance susceptibility genes (LVs) were selected from previous studies. Genotyping of these mutations were conducted among 3777 healthy Han Chinese women (HCW) and 401 BC subjects. Based on the mutation profiles, we raised a comprehensive screening strategy using HVs and LVs to evaluate the polygenic risk score (PRS) in healthy individuals.Results: Three HVs in BRCA1, BRCA2 and PALB2 genes mutated in the study population, which suggests the necessity of applying genetic determination to healthy HCW. LVs were widely carried in objects and their frequencies differed greatly between HCW and the west population. After quality control and lasso dimension reduction, nineteen of twenty-three LVs were involved to construct a logistic regression model to evaluate the cumulative genetic risk score. The area under curve (AUC), sensitivity and specificity of the model is 0.993, 0.9676 and 0.9617 respectively, indicating that it is robust. Finally, a screening strategy using HVs and LVs was put forward to evaluate the risk of BC in normal objects.Conclusion: The distribution of HVs and LVs differed greatly between Han Chinese females and the west population. A screening strategy combining HVs and LVs showed strong efficacy in distinguishing high risk individuals from healthy women.Trial registration: ChiCTR, ChiCTR2000038558. Registered 24 September 2020 - Retrospectively 37 registered, http://www.chictr.org.cn/showproj.aspx?proj=60543

2020 ◽  
Author(s):  
Ling Hu ◽  
Chengbi Wu ◽  
Ping Liu ◽  
Lanbin Jiang ◽  
Yuntao Guo ◽  
...  

Abstract Background: Morbidity and mortality associated with breast cancer (BC) had increased rapidly in China. Early screening and intervention could greatly reduce the risk of hereditary BC. Several risk models had been utilized over the last decades to predict individual BC risk, but most of them didn’t assess the polygenic risk of low-penetrant genes. A novel screening method integrating different penetrance susceptibility genes was eagerly needed.Methods: Twenty-three variants of high and moderate penetrance susceptibility genes (HVs) and twenty loci of low penetrance susceptibility genes (LVs) were selected from previous studies. Genotyping of these mutations were conducted among 3777 healthy Chinese Han women and 401 BC subjects. Based on the mutation profiles, we raised a comprehensive screening strategy using HVs and LVs to evaluate the polygenic risk score (PRS) in healthy individuals.Results: Three HVs in BRCA1, BRCA2 and PALB genes mutated in the study population, which suggests the necessity of applying genetic determination to healthy Han Chinese women. LVs were widely carried in objects and their frequencies differed greatly between Han Chinese females and the west population. After quality control and lasso dimension reduction, nineteen of twenty-three LVs were involved to construct a logistic regression model to evaluate the cumulative genetic risk score. The area under curve (AUC), sensitivity and specificity of the model is 0.993, 0.9676 and 0.9617 respectively, indicating that it is robust. Finally, a screening strategy using HVs and LVs was put forward to evaluate the risk of BC in normal objects.Conclusions: The distribution of HVs and LVs differed greatly between Han Chinese females and the west population. A screening strategy combining HVs and LVs showed strong efficacy in distinguishing high risk individuals from healthy women.Trial registration: ChiCTR, ChiCTR2000038558. Registered 24 September 2020 - Retrospectively registered, http://www.chictr.org.cn/showproj.aspx?proj=60543


2020 ◽  
Vol 3 (7) ◽  
pp. e208501 ◽  
Author(s):  
Shannon Gallagher ◽  
Elisha Hughes ◽  
Susanne Wagner ◽  
Placede Tshiaba ◽  
Eric Rosenthal ◽  
...  

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Clara Bodelon ◽  
Hannah Oh ◽  
Andriy Derkach ◽  
Joshua N. Sampson ◽  
Brian L. Sprague ◽  
...  

Abstract Terminal duct lobular units (TDLUs) are the predominant anatomical structures where breast cancers originate. Having lesser degrees of age-related TDLU involution, measured as higher TDLUs counts or more epithelial TDLU substructures (acini), is related to increased breast cancer risk among women with benign breast disease (BBD). We evaluated whether a recently developed polygenic risk score (PRS) based on 313-common variants for breast cancer prediction is related to TDLU involution in the background, normal breast tissue, as this could provide mechanistic clues on the genetic predisposition to breast cancer. Among 1398 women without breast cancer, higher values of the PRS were significantly associated with higher TDLU counts (P = 0.004), but not with acini counts (P = 0.808), in histologically normal tissue samples from donors and diagnostic BBD biopsies. Mediation analysis indicated that TDLU counts may explain a modest proportion (≤10%) of the association of the 313-variant PRS with breast cancer risk. These findings suggest that TDLU involution might be an intermediate step in the association between common genetic variation and breast cancer risk.


2018 ◽  
Vol 36 (15_suppl) ◽  
pp. 1508-1508 ◽  
Author(s):  
Mary Helen Black ◽  
Shuwei Li ◽  
Holly LaDuca ◽  
Jefferey Chen ◽  
Robert Hoiness ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. e0125369 ◽  
Author(s):  
Xianyong Yin ◽  
Hui Cheng ◽  
Yan Lin ◽  
Nathan E. Wineinger ◽  
Fusheng Zhou ◽  
...  

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