Since the first link between blood type and cancer was described in 1953, numerous studies have sought to determine whether the histoblood ABO group is associated with tumorigenesis. In 2009, the first significant association between a SNP located within the ABO glycosyltransferase gene and increased risk of pancreatic cancer was reported. Here, we describe the history and possible functions of the histoblood ABO group and then provide evidence for a role of blood group antigens in the most common cancer types worldwide using both blood type and SNP data. We also explore whether confusion regarding the role of blood type in cancer risk may be attributable to heterogeneity within tumor types.
IntroductionTumour location within the breast varies with the highest frequency in the upper outer quadrant (UOQ) and lowest frequency in the lower inner quadrant (LIQ). Whether tumour location is prognostic is unclear. To determine whether tumour location is prognostic, associations between tumour site and clinicopathological characteristics were evaluated.Materials and MethodsAll patients enrolled in the Clinical Breast Care Project whose tumour site—UOQ, upper inner quadrant (UIQ), central, LIQ, lower outer quadrant (LOQ)—was determined by a single, dedicated breast pathologist were included in this study. Patients with multicentric disease (n = 122) or tumours spanning multiple quadrants (n = 381) were excluded from further analysis. Clinicopathological characteristics were analysed using chi-square tests for univariate analysis with multivariate analysis performed using principal components analysis (PCA) and multiple logistic regression. Significance was defined as P < 0.05.ResultsOf the 980 patients with defined tumour location, 30 had bilateral disease. Tumour location in the UOQ (51.5%) was significantly higher than in the UIQ (15.6%), LOQ (14.2%), central (10.6%), or LIQ (8.1%). Tumours in the central quadrant were significantly more likely to have higher tumour stage (P = 0.003) and size (P < 0.001), metastatic lymph nodes (P < 0.001), and mortality (P = 0.011). After multivariate analysis, only tumour size and lymph node status remained significantly associated with survival.ConclusionsEvaluation of tumour location as a prognostic factor revealed that although tumours in the central region are associated with less favourable outcome, these associations are not independent of location but rather driven by larger tumour size. Tumours in the central region are more difficult to detect mammographically, resulting in larger tumour size at diagnosis and thus less favourable prognosis. Together, these data demonstrate that tumour location is not an independent prognostic factor.
Pathogenic mutations in high- and moderate-risk breast cancer genes were detected in 23% of young women with an additional 3% having pathogenic mutations in colon cancer predisposition genes. VUS were observed in 14% of women in genes such as ATM, BRCA2, CDH1, CHEK2, and PALB2. Identification of those non-genetic factors is critical to reduce the burden of breast cancer in this population.
Triple-negative breast cancer (TNBC) is characterized by aggressive behavior and poor prognosis. While >50 % of patients with inherited BRCA1 mutations have TNBC, the prevalence of BRCA1 mutations in patients with TNBC remains unclear. Deciphering the relationship between BRCA1 and TNBC is critical to understanding the etiology of TNBC, leading to improved patient counseling and treatment. All female patients with TNBC enrolled in the Clinical Breast Care Project were identified. Genomic DNA was isolated from blood and the exonic regions of the BRCA1 gene were amplified and sequenced. Sequence data was analyzed and mutations identified using Sequencher 4.10.1. Of the 190 women with TNBC, genomic DNA was available for 182. Seventy percent of patients were considered high-risk for having a BRCA1 mutation based on the National Comprehensive Cancer Network criteria. Clinically relevant mutations were detected in 16 (9 %) patients ranging in age from 26 to 69 years at diagnosis. Six of these patients were diagnosed >50 years. The C61G mutation was found in three Caucasian women diagnosed >40 years, while six African-American women had mutations, including the 943ins10 West African founder mutation. Upon conclusion, causative BRCA1 mutations were detected in 9 % of TNBC patients, including patients without significant family histories and/or diagnosed at a later age. The mutation frequency in patients <60 years was 11.2-18.3 % in those patients with significant risk factors and 4.6 % in those without, while in patients >60 years, the mutation frequency was 3.5-7.7 % in patients with risk factors, 2.3 % in those without. Thus, evaluation of additional risk factors in both patients younger and older than 60 years should improve the identification of TNBC patients benefiting from genetic testing of BRCA1.
The breast tumor microenvironment plays an active role in tumorigenesis. Molecular alterations have been identified in tumor-associated stroma; however, there is considerable debate as to whether the stroma is characterized by genomic instability or whether detection of chromosomal alterations reflects technological artifact rather than the true genomic content of the tumor microenvironment. Thus, breast stroma specimens from 112 women undergoing reductive mammoplasty (n ¼ 7), prophylactic mastectomy (n ¼ 6), or mastectomy for a breast disease (n ¼ 99) were frozen in optimal cutting temperature medium. Allelic imbalance (AI) analysis was conducted using a panel of 52 microsatellite markers in 484 stromal specimens from 98 women, of which 92% had no detectable AI events. When compared with previously generated AI data from 77 formalin-fixed, paraffinembedded (FFPE) stroma specimens, 42% of which harbored at least one detectable AI event, the frequency of AI in the FFPE specimens (4.62%) was significantly higher (P < 0.001) than that found in frozen specimens (0.45%). This comparison of AI between FFPE and research-grade specimens suggests that past reports of AI in breast stroma reflect artifact in the archival specimens caused by formalin-fixation, paraffin-embedding and tissue storage. Furthermore, SNP data were generated from a subset of 86 stromal specimens using SNP arrays and copy number alterations were identified using Partek Genomics Suite. For 95% of the specimens, no detectable copy number alterations were found and the 11 changes that were detected were small and not shared between specimens. These data, therefore, support a model in which the tumor microenvironment is genetically stable.
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