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Breast cancer affects one in eight women in their lifetime. Though diet, age and genetic predisposition are established risk factors, the majority of breast cancers have unknown etiology. The human microbiota refers to the collection of microbes inhabiting the human body. Imbalance in microbial communities, or microbial dysbiosis, has been implicated in various human diseases including obesity, diabetes, and colon cancer. Therefore, we investigated the potential role of microbiota in breast cancer by next-generation sequencing using breast tumor tissue and paired normal adjacent tissue from the same patient. In a qualitative survey of the breast microbiota DNA, we found that the bacterium Methylobacterium radiotolerans is relatively enriched in tumor tissue, while the bacterium Sphingomonas yanoikuyae is relatively enriched in paired normal tissue. The relative abundances of these two bacterial species were inversely correlated in paired normal breast tissue but not in tumor tissue, indicating that dysbiosis is associated with breast cancer. Furthermore, the total bacterial DNA load was reduced in tumor versus paired normal and healthy breast tissue as determined by quantitative PCR. Interestingly, bacterial DNA load correlated inversely with advanced disease, a finding that could have broad implications in diagnosis and staging of breast cancer. Lastly, we observed lower basal levels of antibacterial response gene expression in tumor versus healthy breast tissue. Taken together, these data indicate that microbial DNA is present in the breast and that bacteria or their components may influence the local immune microenvironment. Our findings suggest a previously unrecognized link between dysbiosis and breast cancer which has potential diagnostic and therapeutic implications.

Long interspersed element 1 (LINE-1), a non-coding genomic repeat sequence, methylation status can influence tumor progression. In this study, the clinical significance of LINE-1 methylation status was assessed in primary breast cancer in young versus old breast cancer patients. LINE-1 methylation index (MI) was assessed by absolute quantitative assessment of methylated alleles (AQAMA) PCR assay. Initially, LINE-1 MI was assessed in a preliminary study of 235 tissues representing different stages of ductal breast cancer development. Next, an independent cohort of 379 primary ductal breast cancer patients (median follow-up 18.9 years) was studied. LINE-1 hypomethylation was shown to occur in DCIS and invasive breast cancer. In primary breast cancer it was associated with pathological tumor stage ( p  = 0.026), lymph node metastasis ( p  = 0.022), and higher age at diagnosis (>55, p  < 0.001). In multivariate analysis, LINE-1 hypomethylation was associated with decreased OS (HR 2.19, 95 % CI 1.17–4.09, log-rank p  = 0.014), DFS (HR 2.05, 95 % CI 1.14–3.67, log-rank p  = 0.016) and increased DR (HR 2.83, 95 % CI 1.53–5.21, log-rank p  = 0.001) in younger (≤55 years), but not older patients (>55 years). LINE-1 analysis of primary breast cancer demonstrated cancer-related age-dependent hypomethylation. In patients ≤55 years, LINE-1 hypomethylation portends a high-risk of DR.

Background Primary breast cancers that overexpress human epidermal growth factor receptor 2 have variable biological features and clinical outcomes. A subgroup of HER2-overexpressing tumors that express basal-like immunohistochemical markers—the so-called basal-HER2+ subtype—is associated with poor prognosis. We investigated the clinical relevance of this basal-HER2+ subtype within HER2-overexpressing breast tumors. Methods Database review identified consecutive patients with HER2-overexpressing breast cancer. Archival tumor specimens from these patients were immunostained for estrogen receptor (ER), HER2, and basal cytokeratin (CK) expression, then subtyped as luminal-HER2+ (ER positive and basal CK negative), HER2+ (ER negative and basal CK negative), and basal-HER2+ (ER negative and basal CK positive). Subtypes were correlated with clinicopathologic features and overall survival. Results Immunohistochemical assessment of 131 HER2-overexpressing breast tumors identified 79 (60%) luminal-HER2+ tumors, 40 (31%) HER2+ tumors, and 12 (9%) basal-HER2+ tumors. There was no difference in the use of adjuvant trastuzumab and chemotherapy among patients with these subtypes. Five-year overall survival was 65% for patients with basal-HER2+ tumors versus 94% ( P  = 0.0035) and 96% ( P  = 0.0031) for patients with luminal-HER2+ and HER2+ tumors, respectively. The basal-HER2+ subtype was associated with the worst prognosis after adjusting for age, tumor size, lymph node status, and adjuvant treatment (hazard ratio 5.06, 95% confidence interval 1.1–23.2, P  = 0.037). Conclusions The basal-HER2+ subtype highlights the heterogeneous biology of HER2-overexpressing breast cancer. The basal-HER2+ subtype is independently associated with poor survival and may provide insight into breast cancer cell response to anti-HER2 therapy.

Background Basal-like breast cancer (BLBC) has a poor prognosis and is often identified by the triple-negative phenotype (TNP) and/or basal cytokeratins (CKs). Overexpression of mRNA for forkhead box C1 (FOXC1) transcription factor was recently identified as a pivotal prognostic biomarker of BLBC. We investigated the prognostic value of FOXC1 protein expression in invasive breast cancer and compared its prognostic significance to that of TNP and basal CKs. Methods Archived TNP specimens of primary invasive ductal breast cancer from 759 patients were examined by immunohistochemical staining for FOXC1, CK5/6, and CK14; prognostic significance was assessed using multivariate analyses. In addition, the impact of adding FOXC1 versus basal CKs to TNP-based BLBC assessment was assessed. Results FOXC1 protein expression was a significant predictor of overall survival on univariate (hazard ratio [HR] 3.364 95% confidence interval [CI] 1.758–6.438, P  = 0.0002) and multivariate (HR 3.389 95% CI 1.928–7.645, P  = 0.0001) analyses, despite its correlation with younger age ( P  = 0.0003). Interestingly, nodal status was not significant on multivariate analysis when FOXC1 expression status was included in the analysis. BLBC defined by TNP plus FOXC1 demonstrated superior prognostic relevance compared to BLBC defined by TNP or TNP plus basal CKs. Conclusions Immunohistochemical detection of FOXC1 expression in TNP invasive breast cancer is an independent prognostic indicator that is superior to conventional immunohistochemical surrogates of BLBC. Prospective validation is warranted to further define the diagnostic, prognostic, and predictive utility of FOXC1 in breast cancer management and clinical trial design.

Breast cancer affects one in eight women in their lifetime. Though diet, age and genetic predisposition are established risk factors, the majority of breast cancers have unknown etiology. The human microbiota refers to the collection of microbes inhabiting the human body. Imbalance in microbial communities, or microbial dysbiosis, has been implicated in various human diseases including obesity, diabetes, and colon cancer. Therefore, we investigated the potential role of microbiota in breast cancer by next-generation sequencing using breast tumor tissue and paired normal adjacent tissue from the same patient. In a qualitative survey of the breast microbiota DNA, we found that the bacterium Methylobacterium radiotolerans is relatively enriched in tumor tissue, while the bacterium Sphingomonas yanoikuyae is relatively enriched in paired normal tissue. The relative abundances of these two bacterial species were inversely correlated in paired normal breast tissue but not in tumor tissue, indicating that dysbiosis is associated with breast cancer. Furthermore, the total bacterial DNA load was reduced in tumor versus paired normal and healthy breast tissue as determined by quantitative PCR. Interestingly, bacterial DNA load correlated inversely with advanced disease, a finding that could have broad implications in diagnosis and staging of breast cancer. Lastly, we observed lower basal levels of antibacterial response gene expression in tumor versus healthy breast tissue. Taken together, these data indicate that microbial DNA is present in the breast and that bacteria or their components may influence the local immune microenvironment. Our findings suggest a previously unrecognized link between dysbiosis and breast cancer which has potential diagnostic and therapeutic implications.

Background The ability to distinguish benign from atypical/malignant papillary lesions on core needle biopsy is limited by the representative nature of the biopsy method, thus follow-up excision is usually recommended. We aimed to determine if larger samples of tissue obtained by core needle biopsy can more reliably predict the true benign nature of a papilloma. Methods We reviewed the pathology slides and medical records of 51 patients who were diagnosed with benign papillomas on core needle biopsy from 2000 to 2010, who subsequently underwent surgical excision. The characteristics of the core needle biopsy that were associated with retention of benign histology on excision were determined and analyzed. Results Atypical ductal hyperplasia and carcinoma were identified in 5.8 % (3/51) and 5.8 % (3/51) of papillary lesions, respectively, when excised. Patients whose lesions were diagnosed as benign on excision were significantly distinguished by the area (mm 2 ) of tissue sampled by core needle biopsy (mean ± standard deviation (SD): 101.5 ± 106.5) compared with those with atypia or carcinoma on excision (mean ± SD: 41.7 ± 24.0, P  = 0.003). All biopsies performed with 12-gauge or larger needles retained benign features on excision. Core needle biopsy tissue samples consisting of ≥7 cores, or measuring >96 mm 2 in aggregate, had a negative predictive value for atypia/malignancy of 100 %. Conclusions Larger tissue samples significantly improved the predictive value of benign histology on core needle biopsy. A papilloma sampled by a 12-gauge or larger needle, ≥7 cores, or >96 mm 2 retained its benign features upon excision.

Background There are few data on the long-term outcome of patients with microinvasive (T1mi) breast cancer. Moreover, predictors of lymph node involvement and the impact of multifocal microinvasion are not well understood. Methods Patients with T1mi cancer, defined as tumors ≤1 mm, surgically managed at our institute and who underwent axillary lymph node evaluation were identified. Specimen slides were independently reviewed. Multivariate analysis was used to identify factors predictive of lymph node involvement. Results Forty-five patients with T1mi cancer were identified. Median patient age was 52 years, and median size of in situ disease was 4 cm. Nine tumors (20.0 %) had more than one focus of microinvasion. Lymph nodes metastasis were identified in 9 patients: 1 macrometastasis (2.2 %), 4 micrometastases (8.9 %), and 4 isolated tumor cells (8.9 %). Seven of 9 patients with lymph node involvement underwent adjuvant chemotherapy. Estrogen receptor–negative invasive disease was a significant predictor of lymph node metastasis by multivariable analysis ( p  < 0.02). There was also a trend toward lymph node involvement in patients with multifocal microinvasion compared to unifocal disease (33.3 vs. 16.7 %, respectively). At a median follow-up of 83 months, 3 patients (6.3 %) had disease recurrence (1 local, 1 distant, 1 local and distant). All patients with recurrence initially had tumor-free lymph nodes and only one focus of microinvasion. Conclusions Microinvasive breast cancer clearly has the ability to metastasize and recur, but in this series, only 2 % of patients with nodal macrometastasis. Only two patients experienced local recurrence, neither of whom had lymph node metastasis. The importance of identifying nodal micrometastasis in T1mi disease needs to be further explored.

Background Lobular carcinoma in situ (LCIS) is considered a risk factor—not a precursor—for both invasive lobular and ductal carcinoma. Florid LCIS (F-LCIS) is an architectural subtype of LCIS that does not express E-cadherin, yet has the histologic and often radiographic appearance of solid-type ductal carcinoma in situ (DCIS). Since DCIS is considered a precursor to invasive ductal carcinoma, should F-LCIS be considered a precursor to invasive lobular carcinoma (ILC)? Methods Review of an institutional database identified cases of LCIS and solid-type DCIS diagnosed by excisional biopsy, segmentectomy, or mastectomy between 1991 and 2000 to determine the prevalence of associated invasive breast cancer. Archival specimens were evaluated for florid and nonflorid LCIS, nuclear grade of LCIS, and the presence and subtype of invasive breast cancer. Solid-type DCIS that lacked E-cadherin expression was classified as F-LCIS. Results Of 210 consecutive specimens of LCIS examined, 171 had nonflorid LCIS (81%) and 39 had F-LCIS (19%). Nonflorid LCIS had a diffuse pattern, whereas F-LCIS appeared as discrete foci adjacent to ILC. An invasive component was identified with 87% of F-LCIS lesions versus 73% of nonflorid LCIS lesions ( P  = 0.064); this component was lobular in 100% of F-LCIS lesions versus 82% of nonflorid LCIS lesions, a significant difference ( P  = 0.0044) that persisted when the analysis was adjusted for nuclear grade ( P  = 0.0082). Conclusion Its close spatial relationship to an invasive component and increased association with ILC suggest that F-LCIS may be a precursor for ILC.