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J Clin Oncol ; 38(7): 674-685, 2020 03 01.
Artigo em Inglês | MEDLINE | ID: mdl-31841383


PURPOSE: To estimate age-specific relative and absolute cancer risks of breast cancer and to estimate risks of ovarian, pancreatic, male breast, prostate, and colorectal cancers associated with germline PALB2 pathogenic variants (PVs) because these risks have not been extensively characterized. METHODS: We analyzed data from 524 families with PALB2 PVs from 21 countries. Complex segregation analysis was used to estimate relative risks (RRs; relative to country-specific population incidences) and absolute risks of cancers. The models allowed for residual familial aggregation of breast and ovarian cancer and were adjusted for the family-specific ascertainment schemes. RESULTS: We found associations between PALB2 PVs and risk of female breast cancer (RR, 7.18; 95% CI, 5.82 to 8.85; P = 6.5 × 10-76), ovarian cancer (RR, 2.91; 95% CI, 1.40 to 6.04; P = 4.1 × 10-3), pancreatic cancer (RR, 2.37; 95% CI, 1.24 to 4.50; P = 8.7 × 10-3), and male breast cancer (RR, 7.34; 95% CI, 1.28 to 42.18; P = 2.6 × 10-2). There was no evidence for increased risks of prostate or colorectal cancer. The breast cancer RRs declined with age (P for trend = 2.0 × 10-3). After adjusting for family ascertainment, breast cancer risk estimates on the basis of multiple case families were similar to the estimates from families ascertained through population-based studies (P for difference = .41). On the basis of the combined data, the estimated risks to age 80 years were 53% (95% CI, 44% to 63%) for female breast cancer, 5% (95% CI, 2% to 10%) for ovarian cancer, 2%-3% (95% CI females, 1% to 4%; 95% CI males, 2% to 5%) for pancreatic cancer, and 1% (95% CI, 0.2% to 5%) for male breast cancer. CONCLUSION: These results confirm PALB2 as a major breast cancer susceptibility gene and establish substantial associations between germline PALB2 PVs and ovarian, pancreatic, and male breast cancers. These findings will facilitate incorporation of PALB2 into risk prediction models and optimize the clinical cancer risk management of PALB2 PV carriers.

Nat Commun ; 10(1): 4182, 2019 09 13.
Artigo em Inglês | MEDLINE | ID: mdl-31519911


Myoepithelial cells play key roles in normal mammary gland development and in limiting pre-invasive to invasive breast tumor progression, yet their differentiation and perturbation in ductal carcinoma in situ (DCIS) are poorly understood. Here, we investigated myoepithelial cells in normal breast tissues of BRCA1 and BRCA2 germline mutation carriers and in non-carrier controls, and in sporadic DCIS. We found that in the normal breast of non-carriers, myoepithelial cells frequently co-express the p63 and TCF7 transcription factors and that p63 and TCF7 show overlapping chromatin peaks associated with differentiated myoepithelium-specific genes. In contrast, in normal breast tissues of BRCA1 mutation carriers the frequency of p63+TCF7+ myoepithelial cells is significantly decreased and p63 and TCF7 chromatin peaks do not overlap. These myoepithelial perturbations in normal breast tissues of BRCA1 germline mutation carriers may play a role in their higher risk of breast cancer. The fraction of p63+TCF7+ myoepithelial cells is also significantly decreased in DCIS, which may be associated with invasive progression.

Proteína BRCA1/metabolismo , Proteína BRCA2/metabolismo , Carcinoma Ductal de Mama/metabolismo , Mutação/genética , Animais , Proteína BRCA1/genética , Proteína BRCA2/genética , Carcinoma Ductal de Mama/genética , Linhagem Celular Tumoral , Proliferação de Células/genética , Proliferação de Células/fisiologia , Feminino , Imunofluorescência , Mutação em Linhagem Germinativa/genética , Humanos , Imuno-Histoquímica , Camundongos , Fator 1 de Transcrição de Linfócitos T/genética , Fator 1 de Transcrição de Linfócitos T/metabolismo , Fatores de Transcrição/genética , Fatores de Transcrição/metabolismo , Proteínas Supressoras de Tumor/genética , Proteínas Supressoras de Tumor/metabolismo
Cancer Discov ; 7(10): 1098-1115, 2017 10.
Artigo em Inglês | MEDLINE | ID: mdl-28652380


To investigate immune escape during breast tumor progression, we analyzed the composition of leukocytes in normal breast tissues, ductal carcinoma in situ (DCIS), and invasive ductal carcinomas (IDC). We found significant tissue and tumor subtype-specific differences in multiple cell types including T cells and neutrophils. Gene expression profiling of CD45+CD3+ T cells demonstrated a decrease in CD8+ signatures in IDCs. Immunofluorescence analysis showed fewer activated GZMB+CD8+ T cells in IDC than in DCIS, including in matched DCIS and recurrent IDC. T-cell receptor clonotype diversity was significantly higher in DCIS than in IDCs. Immune checkpoint protein TIGIT-expressing T cells were more frequent in DCIS, whereas high PD-L1 expression and amplification of CD274 (encoding PD-L1) was only detected in triple-negative IDCs. Coamplification of a 17q12 chemokine cluster with ERBB2 subdivided HER2+ breast tumors into immunologically and clinically distinct subtypes. Our results show coevolution of cancer cells and the immune microenvironment during tumor progression.Significance: The design of effective cancer immunotherapies requires the understanding of mechanisms underlying immune escape during tumor progression. Here we demonstrate a switch to a less active tumor immune environment during the in situ to invasive breast carcinoma transition, and identify immune regulators and genomic alterations that shape tumor evolution. Cancer Discov; 7(10); 1098-115. ©2017 AACR.See related commentary by Speiser and Verdeil, p. 1062This article is highlighted in the In This Issue feature, p. 1047.

Neoplasias da Mama/imunologia , Carcinoma Ductal de Mama/imunologia , Carcinoma Intraductal não Infiltrante/imunologia , Perfilação da Expressão Gênica/métodos , Linfócitos T/imunologia , Antígeno B7-H1/genética , Biomarcadores Tumorais/genética , Neoplasias da Mama/genética , Complexo CD3/genética , Carcinoma Ductal de Mama/genética , Carcinoma Intraductal não Infiltrante/genética , Progressão da Doença , Feminino , Regulação Neoplásica da Expressão Gênica , Humanos , Antígenos Comuns de Leucócito/genética , Receptor ErbB-2/genética , Microambiente Tumoral
Breast Cancer Res Treat ; 161(1): 117-134, 2017 01.
Artigo em Inglês | MEDLINE | ID: mdl-27796716


PURPOSE: Cis-acting regulatory SNPs resulting in differential allelic expression (DAE) may, in part, explain the underlying phenotypic variation associated with many complex diseases. To investigate whether common variants associated with DAE were involved in breast cancer susceptibility among BRCA1 and BRCA2 mutation carriers, a list of 175 genes was developed based of their involvement in cancer-related pathways. METHODS: Using data from a genome-wide map of SNPs associated with allelic expression, we assessed the association of ~320 SNPs located in the vicinity of these genes with breast and ovarian cancer risks in 15,252 BRCA1 and 8211 BRCA2 mutation carriers ascertained from 54 studies participating in the Consortium of Investigators of Modifiers of BRCA1/2. RESULTS: We identified a region on 11q22.3 that is significantly associated with breast cancer risk in BRCA1 mutation carriers (most significant SNP rs228595 p = 7 × 10-6). This association was absent in BRCA2 carriers (p = 0.57). The 11q22.3 region notably encompasses genes such as ACAT1, NPAT, and ATM. Expression quantitative trait loci associations were observed in both normal breast and tumors across this region, namely for ACAT1, ATM, and other genes. In silico analysis revealed some overlap between top risk-associated SNPs and relevant biological features in mammary cell data, which suggests potential functional significance. CONCLUSION: We identified 11q22.3 as a new modifier locus in BRCA1 carriers. Replication in larger studies using estrogen receptor (ER)-negative or triple-negative (i.e., ER-, progesterone receptor-, and HER2-negative) cases could therefore be helpful to confirm the association of this locus with breast cancer risk.

Alelos , Neoplasias da Mama/epidemiologia , Neoplasias da Mama/etiologia , Genes BRCA1 , Genes BRCA2 , Heterozigoto , Mutação , Biomarcadores Tumorais , Cromossomos Humanos Par 11 , Feminino , Expressão Gênica , Predisposição Genética para Doença , Variação Genética , Humanos , Locos de Características Quantitativas , Risco
Fam Cancer ; 12(4): 651-6, 2013 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-23584879


We evaluated the feasibility of an automated tablet computer application providing a family and personal history based cancer risk assessment for hereditary breast, ovarian, endometrial and colorectal cancers. 1,002 women presenting for screening mammography and 1,000 presenting for ultrasound were offered screening. The application calculated the risk of BRCA mutations using BRCAPRO, Myriad and Tyrer-Cuzick risk assessment models. Lifetime risk of breast and ovarian cancer was assessed with the BRCAPRO, Claus and Tyrer-Cuzick models. Colorectal and endometrial cancer risk was calculated via the MMRpro model. Patients were identified as high-risk based on thresholds 10% or greater risk for carrying genetic mutations or 20% or greater lifetime risk of breast or ovarian cancer. The percent of women found to be high-risk by a single risk assessment tool ranged from 0.5 to 5.3%. Combining assessment tools found 9.3% of women to be high-risk. The risk assessments performed similarly for the mammography and ultrasound cohorts with yields (combining assessment tools) of 9.2 and 9.4% respectively. The average ages of all the high-risk women were 45.8 and 39.6 years for the mammography and ultrasound cohorts respectively. Difficulties encountered included a need for software upgrade, wireless network unreliability and hardware theft. Automated family history screening can identify women probably at high-risk for hereditary cancers efficiently. The number of women identified is increased by employing multiple risk assessment models simultaneously. Surveying women in conjunction with ultrasound identified women at increased risk as effectively and at a younger age than with screening mammography.

Biomarcadores Tumorais/genética , Predisposição Genética para Doença , Mamografia , Síndromes Neoplásicas Hereditárias/diagnóstico , Autoavaliação , Ultrassonografia , Adulto , Estudos de Coortes , Detecção Precoce de Câncer , Estudos de Viabilidade , Feminino , Seguimentos , Humanos , Masculino , Pessoa de Meia-Idade , Mutação/genética , Síndromes Neoplásicas Hereditárias/genética , Prognóstico , Fatores de Risco