Risk factors for breast cancer in women biopsied for benign breast disease: A nested case-control study

Aim: Women with a history of benign breast disease are at increased risk of subsequent breast cancer. However, few studies have examined whether established breast cancer risk factors other than histology are associated with an altered risk of breast cancer in women with benign breast disease. We used a nested case-control design within a large, multi-center cohort of women biopsied for benign breast disease (BBD) to estimate odds ratios for breast cancer in association with exposure to a range of personal and lifestyle factors. Methods: Cases were women biopsied for BBD who subsequently developed breast cancer; controls were individually matched to cases on center and age at diagnosis and were women biopsied for BBD who did not develop breast cancer in the same follow-up interval as that for the cases. After excluding women with prevalent breast cancer, 1357 records (661 case records and 696 records) were available for analysis. We used conditional logistic regression to obtain crude and multivariable-adjusted estimates of the association between specific factors and risk of breast cancer. Results: In multivariable analyses age at first live birth, number of pregnancies, and postmenopausal status were inversely associated with risk of breast cancer. The odds ratio for women with age at first birth <25 years and ≥3 pregnancies, relative to nulliparous women, was 0.49, 95% confidence interval 0.13–0.79, and that for postmenopausal women relative to premenopausal women was 0.60, 95% CI 0.37–0.99. Conclusions: Further study of personal factors influencing the risk of breast cancer in women with BBD may help to identify subgroups of the population at increased risk of invasive disease.     

Risk factors for benign breast disease: a 30-year cohort study.

Data on the menstrual history, family history and degree of obesity of 1374 Vancouver nursing students were collected in 1945 and from 1947 to 1956. In 1979, 768 of these women were located; 726 (94%) responded and participated in a follow-up study, providing information on their subsequent medical history and on breast-related problems. No major differences were found between the early histories of these participants and those who were not located or did not respond. Among the respondents 215 gave a history of symptoms compatible with benign breast disease; in 107 this diagnosis was confirmed by biopsy. By age 50 the cumulative risk for benign breast disease was 17% for biopsied and 31% for symptomatic disease. Biopsied benign breast disease was associated with premenstrual breast discomfort, irregular menses, a history of abortions, a family history of both benign and malignant breast disease, lack of use of oral contraceptives, a low index of obesity and small breasts, obesity and breast size being independent. Factors associated with symptomatic benign breast disease were usually associated with a greater likelihood of biopsy for symptomatic disease; hence, the relative risks for biopsied disease were generally greater than those for symptomatic disease. Although the risk factors for benign breast disease differ from those for breast cancer, the findings are consistent with the hypothesis of excessive circulating estrogen.     

Epstein-Barr Virus,Human Papillomavirus and Mouse Mammary Tumour Virus as Multiple Viruses in Breast Cancer

Background

The purpose of this investigation is to determine if Epstein Barr virus (EBV), high risk human papillomavirus (HPV), and mouse mammary tumour viruses (MMTV) co-exist in some breast cancers.

Materials and Methods

All the specimens were from women residing in Australia. For investigations based on standard PCR, we used fresh frozen DNA extracts from 50 unselected invasive breast cancers. For normal breast specimens, we used DNA extracts from epithelial cells from milk donated by 40 lactating women. For investigations based on in situ PCR we used 27 unselected archival formalin fixed breast cancer specimens and 18 unselected archival formalin fixed normal breast specimens from women who had breast reduction surgery. Thirteen of these fixed breast cancer specimens were ductal carcinoma in situ (dcis) and 14 were predominantly invasive ductal carcinomas (idc).

Results

EBV sequences were identified in 68%, high risk HPV sequences in 50%, and MMTV sequences in 78% of DNA extracted from 50 invasive breast cancer specimens. These same viruses were identified in selected normal and breast cancer specimens by in situ PCR. Sequences from more than one viral type were identified in 72% of the same breast cancer specimens. Normal controls showed these viruses were also present in epithelial cells in human milk – EBV (35%), HPV, 20%) and MMTV (32%) of 40 milk samples from normal lactating women, with multiple viruses being identified in 13% of the same milk samples.

Conclusions

We conclude that (i) EBV, HPV and MMTV gene sequences are present and co-exist in many human breast cancers, (ii) the presence of these viruses in breast cancer is associated with young age of diagnosis and possibly an increased grade of breast cancer.     

Association between Melanocytic Nevi and Risk of Breast Diseases: The French E3N Prospective Cohort

Background

While melanocytic nevi have been associated with genetic factors and childhood sun exposure, several observations also suggest a potential hormonal influence on nevi. To test the hypothesis that nevi are associated with breast tumor risk, we explored the relationships between number of nevi and benign and malignant breast disease risk.

Methods and Findings

We prospectively analyzed data from E3N, a cohort of French women aged 40–65 y at inclusion in 1990. Number of nevi was collected at inclusion. Hazard ratios (HRs) for breast cancer and 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models. Associations of number of nevi with personal history of benign breast disease (BBD) and family history of breast cancer were estimated using logistic regression. Over the period 15 June 1990–15 June 2008, 5,956 incident breast cancer cases (including 5,245 invasive tumors) were ascertained among 89,902 women. In models adjusted for age, education, and known breast cancer risk factors, women with “very many” nevi had a significantly higher breast cancer risk (HR = 1.13, 95% CI = 1.01–1.27 versus “none”; p _trend = 0.04), although significance was lost after adjustment for personal history of BBD or family history of breast cancer. The 10-y absolute risk of invasive breast cancer increased from 3,749 per 100,000 women without nevi to 4,124 (95% CI = 3,674–4,649) per 100,000 women with “very many” nevi. The association was restricted to premenopausal women (HR = 1.40, p _trend = 0.01), even after full adjustment (HR = 1.34, p _trend = 0.03; p _homogeneity = 0.04), but did not differ according to breast cancer type or hormone receptor status. In addition, we observed significantly positive dose–response relationships between number of nevi and history of biopsy-confirmed BBD (n = 5,169; p _trend<0.0001) and family history of breast cancer in first-degree relatives (n = 7,472; p _trend = 0.0003). The main limitations of our study include self-report of number of nevi using a qualitative scale, and self-reported history of biopsied BBD.

Conclusions

Our findings suggest associations between number of nevi and the risk of premenopausal breast cancer, BBD, and family history of breast cancer. More research is warranted to elucidate these relationships and to understand their underlying mechanisms. Please see later in the article for the Editors'' Summary     

Quantitative analysis of promoter methylation in exfoliated epithelial cells isolated from breast milk of healthy women

Promoter methylation analysis of genes frequently silenced in breast cancer is a promising indicator of breast cancer risk, as these methylation events are thought to occur long before presentation of disease. The numerous exfoliated epithelial cells present in breast milk may provide the breast epithelial DNA needed for detailed methylation analysis and assessment of breast cancer risk. Fresh breast milk samples and health, lifestyle and reproductive history questionnaires were collected from 111 women. Pyrosequencing analysis was conducted on DNA isolated from the exfoliated epithelial cells immunomagnetically separated from the total cell population in the breast milk of 102 women. A total of 65 CpG sites were examined in six tumor suppressor genes: PYCARD (also known as ASC or TMS1), CDH1, GSTP1, RBP1 (also known as CRBP1), SFRP1 and RASSF1. A sufficient quantity of DNA was obtained for meaningful analysis of promoter methylation; women donated an average of 86 ml of milk with a mean yield of 32,700 epithelial cells per ml. Methylation scores were in general low as expected of benign tissue, but analysis of outlier methylation scores revealed a significant relationship between breast cancer risk, as indicated by previous biopsy and methylation score, for several CpG sites in CDH1, GSTP1, SFRP1 and RBP1. Methylation of RASS F1 was positively correlated with women''s age irrespective of her reproductive history. Promoter methylation patterns in DNA from breast milk epithelial cells can likely be used to assess breast cancer risk. Additional studies of women at high breast cancer risk are warranted.Key words: biomarker, pyrosequencing, promoter methylation, breast epithelial cells, breast milk, breast cancer risk, parity, age-related promoter methylation, pregnancy-associated protection from breast cancer     

Expression of cancer testis antigens in human BRCA-associated breast cancers: potential targets for immunoprevention?

Introduction

Novel breast cancer risk-reducing strategies for individuals with germline mutations of the BRCA1 and/or BRCA2 genes are urgently needed. Identification of antigenic targets that are expressed in early cancers, but absent in normal breast epithelium of these high-risk individuals, could provide the basis for the development of effective immunoprophylactic strategies. Cancer testis (CT) antigens are potential candidates because their expression is restricted to tumors, and accumulating data suggest that they play important roles in cellular proliferation, stem cell function, and carcinogenesis. The objective of this study was to examine the expression of CT antigens and their frequency in BRCA-associated breast cancers.

Methods

Archived breast cancer tissues (n?=?26) as well as morphologically normal breast tissues (n?=?7) from women carrying deleterious BRCA 1 and/or 2 mutations were obtained for antigen expression analysis by immunohistochemistry. Expression of the following CT antigens was examined: MAGE-A1, MAGE-A3, MAGE-A4, MAGE-C1.CT7, NY-ESO-1, MAGE-C2/CT10, and GAGE.

Results

CT antigens were expressed in 16/26 (61.5%, 95% CI 43?C80%) of BRCA-associated cancers, including in situ tumors. Thirteen of twenty-six (50%) breast cancers expressed two or more CT antigens; three cancers expressed all seven CT antigens. MAGE-A was expressed in 13/26 (50%) of cancers, NY-ESO-1 was expressed in 10/26 (38%) of tumors. In contrast, none of the CT antigens were expressed in adjacent or contralateral normal breast epithelium (P?=?0.003).

Conclusions

We report a high CT antigen expression rate in BRCA-associated breast cancer as well as the lack of expression of these antigens in benign breast tissue of carriers, identifying CT antigens as potential vaccine targets for breast cancer prevention in these high-risk individuals.     

Automatic Detection and Classification of Mammograms Using Improved Extreme Learning Machine with Deep Learning

Background and objectiveBreast cancer, the most intrusive form of cancer affecting women globally. Next to lung cancer, breast cancer is the one that provides a greater number of cancer deaths among women. In recent times, several intelligent methodologies were come into existence for building an effective detection and classification of such noxious type of cancer. For further improving the rate of early diagnosis and for increasing the life span of victims, optimistic light of research is essential in breast cancer classification. Accordingly, a new customized method of integrating the concept of deep learning with the extreme learning machine (ELM), which is optimized using a simple crow-search algorithm (ICS-ELM). Thus, to enhance the state-of-the-art workings, an improved deep feature-based crow-search optimized extreme learning machine is proposed for addressing the health-care problem. The paper pours a light-of-research on detecting the input mammograms as either normal or abnormal. Subsequently, it focuses on further classifying the type of abnormal severities i.e., benign type or malignant.Materials and methodsThe digital mammograms for this work are taken from the Curated Breast Imaging Subset of DDSM (CBIS-DDSM), Mammographic Image Analysis Society (MIAS), and INbreast datasets. Herein, the work employs 570 digital mammograms (250 normal, 200 benign and 120 malignant cases) from CBIS-DDSM dataset, 322 digital mammograms (207 normal, 64 benign and 51 malignant cases) from MIAS database and 179 full-field digital mammograms (66 normal, 56 benign and 57 malignant cases) from INbreast dataset for its evaluation. The work utilizes ResNet-18 based deep extracted features with proposed Improved Crow-Search Optimized Extreme Learning Machine (ICS-ELM) algorithm.ResultsThe proposed work is finally compared with the existing Support Vector Machines (RBF kernel), ELM, particle swarm optimization (PSO) optimized ELM, and crow-search optimized ELM, where the maximum overall classification accuracy is obtained for the proposed method with 97.193% for DDSM, 98.137% for MIAS and 98.266% for INbreast datasets, respectively.ConclusionThe obtained results reveal that the proposed Computer-Aided-Diagnosis (CAD) tool is robust for the automatic detection and classification of breast cancer.     

Oxidant/antioxidant status in blood of patients with malignant breast tumour and benign breast disease

The aim of this study was to investigate the alterations in lipid peroxidation and antioxidant enzyme defences in the blood of patients with malignant breast tumour and benign breast disease. Forty patients with malignant breast tumour, 20 patients with benign breast disease and also 20 healthy control subjects were recruited for the study. Malondialdehyde levels in plasma and erythrocytes, and the activities of erythrocyte CuZn-superoxide dismutase, catalase, glutathione peroxidase and glucose-6-phosphate dehydrogenase were measured. Malondialdehyde levels were higher in patients with both benign breast disease and malignant breast tumour compared with control subjects. The activities of all antioxidant enzymes were higher in patients with malignant breast tumour, while only glutathione peroxidase and CuZn-superoxide dismutase activities were higher in patients with benign breast disease. Except for glucose-6-phosphate dehydrogenase, the antioxidant enzymes studied correlated positively with the malondialdehyde levels in patients with malignant breast tumour. On the other hand, only glucose-6-phosphate dehydrogenase activity was increased by the level of malignancy. The activity increases in erythrocyte antioxidant enzymes may be a compensatory upregulation in response to increased oxidative stress especially in patients with malignant breast tumour.     

Studies on the human tumor nucleolar antigens

With rabbit antibodies to nuclear 0.01 M Tris-HCl, pH 8, extract or "nucleolar preparations" of human HeLa S3 cells and fluorescein-labeled goat antirabbit antibodies, bright nucleolar immunofluorescence was observed in human adenocarcinomas, squamous cell carcinomas, sarcomas, hematological neoplasms, and other malignant tumors. With these antibodies, nucleolar immunofluorescence was not found in most normal tissue specimens, benign adenomas, hyperplastic tissues, and specimens of inflammatory diseases. A study was made on the presence in benign and malignant breast tumors of a common nucleolar antigen previously found in a broad range of human malignant tumors. Bright nucleolar immunofluorescence was observed in 19/20 (95%) of known breast cancer specimens. In the group of 80 unknown samples in the "blind" study, 75 (94%) were correctly identified as malignant or benign on the basis of the presence and distribution of the nucleolar fluorescence. In a group of 67 samples in which the nucleolar fluorescence was either readily observed or virtually absent, 47/48 (98%) of the malignant tumors were correctly identified. Of the bening lesions or normal breast specimens, 18/19 (95%) were correctly identified as negative for nucleolar fluorescence. These studies extend the results previously reported for a common nucleolar antigen in a broad range of human cancers to a larger series of malignancies of a particular organ. The tumor nucleolar antigen(s) were partially characterized by isoelectric focusing on 4% polyacrylamide gels. One major band had a pI of 6.3 and a minor band had a pI of 6.1. These antigens were not found in the normal human liver nucleoli.     

Prospective assessment of the role of five tumour markers in breast cancer

Summary Retrospective analysis previously identified significant elevation of five tumour markers, carcinoembryonic antigen (CEA), ferritin, orosomucoid,C-reactive protein and erythrocyte sedimentation rate (ESR), in patients with systemic breast cancer and showed that changes in each of these markers individually correlated significantly with therapeutic response. In this study we have prospectively tested these findings. None of the five markers was significantly elevated in primary breast cancer compared to normal control or benign breast disease groups. They therefore appear to have no role either in screening or in the differential diagnosis of breast cancer. There was a significant elevation of all five markers in patients with systemic breast cancer (P <0.0001; analysis of variance) but sequential changes in CEA and ESR only correlated significantly with the UICC-assessed response. Prospective confirmation of the correlation between changes in serum CEA and ESR provides the basis for using these markers in the assessment of response to therapy in patients with systemic breast cancer.     

Human tumor and normal tissue reactivity of the anti-(breast cancer) monoclonal antibody BA-Br-3 and its similarity to the anti-(epithelial membrane antigen) monoclonal antibody E29

Summary A mouse monoclonal antibody (BA-Br-3) raised against the breast carcinoma cell line CAMA-1 was previously shown to react with a 300-kDa globule-like glycoprotein from human milk fat also expressed in the cytoplasm and on the surface of human carcinoma cells of different histological types. In this report the reactivity of this mAb with a large number of normal and malignant human tissues was analyzed using immunoperoxidase techniques. When tested on sections of both fresh-frozen tissues and formalin-fixed, paraffin-embedded tissues, BA-Br-3 reacted with a formalin-resistant antigenic determinant expressed by normal and malignant epithelial cells. Preferential reactivity was observed at the apical portion of ductal epithelial cells in normal breast and in glandular epithelia distributed in several other organs. Reactivity with mucin-like secretions in the lumina of ducts was also found. BA-Br-3 reacted mostly in heterogenous staining patterns with 88% of 49 breast carcinoma specimens tested, regardless of their histological type or whether they were primary or secondary neoplasms. Testing of epithelial malignant tumors other than breast carcinomas with this antibody showed that 127 of 151 (84%) were also reactive. mAb BA-Br-3 and E29 (a commercially available anti-(epithelial membrane antigen) shared very similar staining patterns and distributions of reactivity with breast and other epithelial tumors. However, BA-Br-3 showed a significantly higher percentage of reactivity with melanoma (33% versus 6%,P = 0.003) and a trend toward a higher percentage of reactivity with sarcoma (55% versus 27%,P >0.05). This antibody, therefore, defines a molecule that is a member of the mucin-like epithelial membrane antigen family. Further studies are warranted to determine its usefulness in antibody-directed cancer diagnosis, prognosis, and immunotherapy.     

McAbGB2识别的乳腺癌血清抗原性质研究

对抗人乳腺癌血清抗原单克隆抗体GB₂（McAbGB₂）识别的抗原（McAbGB₂抗原）性质及含量进行了研究．结果表明,McAbGB₂抗原是由糖及蛋白质组成的复合蛋白质,不耐热;McAbGB₂抗原决定簇不存在于铁蛋白及癌胚抗原;蛋白质印边检测表明McAbGB₂抗原有两条区带,分子量分别为116及45ku,分布于血液及癌组织;用McAbGB₂进行血清学分析（ELISA试验）,结果表明：乳腺癌阳性符合率达98％（50／51）,正常人及乳腺良性肿瘤病人的假阳性率分别为6％（3／50）及6．7％（1／15）．McAbGB₂抗原可能是新的乳腺癌相关抗原．     

Quantitative analysis of promoter methylation in exfoliated epithelial cells isolated from breast milk of healthy women

Promoter methylation analysis of genes frequently silenced in breast cancer is a promising indicator of breast cancer risk, as these methylation events are thought to occur long before presentation of disease. The numerous exfoliated epithelial cells present in breast milk may provide the breast epithelial DNA needed for detailed methylation analysis and assessment of breast cancer risk. Fresh breast milk samples and health, lifestyle, and reproductive history questionnaires were collected from 111 women. Pyrosequencing analysis was conducted on DNA isolated from the exfoliated epithelial cells immunomagnetically separated from the total cell population in the breast milk of 102 women. A total of 65 CpG sites were examined in six tumor suppressor genes: PYCARD (also known as ASC or TMS1), CDH1, GSTP1, RBP1 (also known as CRBP1), SFRP1, and RASSF1. A sufficient quantity of DNA was obtained for meaningful analysis of promoter methylation; women donated an average of 86 ml of milk with a mean yield of 32,700 epithelial cells per ml. Methylation scores were in general low as expected of benign tissue, but analysis of outlier methylation scores revealed a significant relationship between breast cancer risk, as indicated by previous biopsy, and methylation score for several CpG sites in CDH1, GSTP1, SFRP1, and RBP1. Methylation of RASSF1 was positively correlated with women’s age irrespective of her reproductive history. Promoter methylation patterns in DNA from breast milk epithelial cells can likely be used to assess breast cancer risk. Additional studies of women at high breast cancer risk are warranted.     

Detection of Breast Cancer Based on Fuzzy Frequent Itemsets Mining

Background: Breast cancer, a type of malignant tumor, affects women more than men. About one third of women with breast cancer die of this disease. Hence, it is imperative to find a tool for the proper identification and early treatment of breast cancer. Unlike the conventional data mining algorithms, fuzzy logic based approaches help in the mining of association rules from quantitative transactions.Methods: In this study a novel fuzzy methodology IFFP (Improved Fuzzy Frequent Pattern Mining), based on a fuzzy association rule mining for biological knowledge extraction, is introduced to analyze the dataset in order to find the core factors that cause breast cancer. This method consists of two phases. During the first phase, fuzzy frequent itemsets are mined using the proposed algorithm IFFP. Fuzzy association rules are formed during the second phase, indicating whether a person belongs to benign or malignant. This algorithm is applied on WBCD (Wisconsin Breast Cancer Database) to detect the presence of breast cancer.Results: It is determined that the factor, Mitoses has low range of values on both malignant and benign and hence it does not contribute to the detection of breast cancer. On the other hand, the high range of Bare Nuclei shows more chances for the presence of breast cancer.Conclusion: Experimental evaluations on real datasets show that our proposed method outperforms recently proposed state-of-the-art algorithms in terms of runtime and memory usage.     

The impact of operative approach on outcome of surgery for gastro-oesophageal tumours

Background

Caveolin-1 is thought to have an important impact on both signal transduction and mediation of intracellular processes. Furthermore, it has been suggested that Caveolin-1 may contribute to certain steps of carcinogenesis in various types of cancer. We examined the potential clinical relevance of Caveolin-1 in normal, benign and malignant breast tissue specimens.

Methods

Using tissue microarray (TMA) technology cases of invasive breast cancer, DCIS, benign breast disease (i.e. fibroadenoma, sclerosing adenosis, ductal hyperplasia and radial scar) and normal breast tissue were evaluated for Caveolin-1 expression. Immunohistochemical staining with an anti-Caveolin-1-antibody was performed. Staining intensity was quantified semiquantitatively. In invasive lesions staining results were correlated with clinical and pathological data.

Results

No Caveolin-1 expression was observed in epithelial cells of normal breast tissue (n = 5), benign breast disease (n = 295) and DCIS (n = 108). However, Caveolin-1 expression was found in 32 of 109 cases of invasive breast carcinomas (29.4%). Caveolin-1 expression in invasive breast cancer could neither be correlated with survival parameters such as overall or disease-free survival nor with established clinical and pathological markers.

Conclusion

In this study we demonstrated expression of Caveolin-1 in one third of invasive breast cancers. A significant increase in Caveolin-1 expression was observed comparing invasive breast cancer to both benign breast tissue and non-invasive breast cancer. Since inhibitors of Caveolin-1 signalling are available, targeting Caveolin-1 in breast cancer may represent a potential option for future breast cancer treatment.     

3.0 T磁共振扩散加权成像在乳腺良恶性病变鉴别中的价值及较优b值下ADC值与预后因子相关性研究

摘要 目的：研究3.0 T磁共振扩散加权成像在乳腺良恶性病变鉴别中的价值及较优b值下ADC值与预后因子的相关性。方法：选取2017年11月～2019年11月于我院接受诊治的乳腺病变患者50例进行研究,将其按照良恶性差异分成恶性组40例与良性组10例,另取同期于我院体检的健康志愿者50例作为对照组。对所有人员均进行3.0 T磁共振扩散加权成像,比较不同b值下ADC值在不同乳腺组织中的差异,比较不同b值下诊断乳腺良恶性病变的效能,分析较优b值下ADC值和乳腺癌患者各项预后因子的相关性。结果：对照组、良性组、恶性组在不同b值下的ADC值均呈逐渐降低趋势（P＜0.05）;对照组、良性组、恶性组b值为1000 s/mm²下的ADC值均低于b值为600 s/mm²（P＜0.05）。b值为1000 s/mm²时诊断乳腺恶性病变的敏感度、特异度、准确度分别为92.50%、100.00%、94.00%,高于b值为600 s/mm²的70.00%、60.00%、68.00%（P＜0.05）。b值为1000 s/mm²下雌激素受体、孕激素受阳性患者的ADC值低于阴性患者,而人类表皮生长因子受体2阳性患者的ADC值高于阴性患者（P＜0.05）。经Spearman相关性分析可得,b值为1000 s/mm²下ADC值与雌激素受体、孕激素受体阳性表达均呈负相关关系,而与人类表皮生长因子受体2阳性表达呈正相关关系（P＜0.05）。结论：3.0 T磁共振扩散加权成像在乳腺良恶性病变鉴别中的价值较高,且以b值为1000 s/mm²的诊断能效较优。此外,b值下ADC值和乳腺癌部分预后因子表达状态密切相关。     

Breast Milk and Gut Microbiota in African Mothers and Infants from an Area of High HIV Prevalence

Background

Human milk and infant gut microbiota are essential for the immune system maturation and protection against infections. There is scarce information on the microbiological composition of breast milk in general, and none from developing countries. The objective of the study was to characterize the breast milk and gut microbiota from mothers and infants from southern Mozambique, where infections and breastfeeding are prevalent.

Methods

A community-based study was undertaken among 121 pairs of women and infants. Breast milk and infant''s faeces were analyzed by bacterial culture and molecular methods. Breast milk samples were screened for HIV RNA by RT-PCR.

Results

The most frequent bacterial groups isolated by culture media in breast milk were Staphylococci (96.4%), Streptococci (92.7%) and Lactobacilli (56.4%). HIV RNA was detected in 24% of the samples. Staphylococcus hominis, S. aureus, and S.parasanguis were more frequently isolated in infants ≤14 days of life. Women on exclusive breastfeeding presented higher proportion of S. parasanguis in breast milk than those on mixed infant feeding (36.4% versus 11.1%, p = 0.035). Bacterial diversity (mean number of bacterial species isolated by sample: 10.4 versus 8.5; p = 0.004) and the frequency of Lactobacillus spp (75.9% versus 36%, p = 0.003) were higher in the specimens with HIV RNA than in those without it. The main bacterial groups found in infant''s faeces were Bifidobacterium, Streptococci and Enterococci.

Conclusions

Women with HIV RNA in breast milk had a different pattern of microbiological composition, suggesting specific immunopathological phenomena in HIV-infected women. Both breast milk and faecal microbiota composition varied with lactation period, which might be related to changes in the type of feeding over time and/or in the milk''s biochemical characteristics. These findings provide insights into interactions between commensal bacteria and HIV infection in human milk and the role of these bacteria in mucosal protection against infections in breastfed infants.     

Magnetic resonance imaging features for differentiating breast papilloma with high-risk or malignant lesions from benign papilloma: a retrospective study on 158 patients

Background

Benign breast papilloma is currently managed with conservative management with close observation. In contrast, papilloma with high-risk or malignant lesions warrants surgical excision. The purpose of our study was to investigate magnetic resonance imaging (MRI) features of breast papilloma and to identify imaging diagnostic indicators for papilloma with high-risk or malignant lesions.

Methods

MRI features of 175 surgically confirmed papillomas on 158 patients were retrospectively reviewed. The 175 cases included 132 cases of benign papilloma and 43 cases of papilloma with high-risk or malignant lesions. The MRI features of these lesions were classified into three types: mass, non-mass enhancement (NME), and occult lesion. The occult lesion was defined as the presence of only ductal dilation without any enhanced lesions on MRI. For a mass lesion, the mixed mass-NME lesion was considered if linear, segmental or regional enhanced lesion was found adjacent to the mass. Clinical and MRI features were compared by univariate and multivariate analysis between the benign papilloma and the papilloma with high-risk or malignant lesions.

Results

Multivariate logistic regression analysis demonstrated that clinical characteristics including being or older than 50?years (odds ratio [OR]?=?4.506), having bloody nipple discharge (OR?=?4.499), and concurrent breast cancer (OR?=?5.083) were significant indicators for papilloma with high-risk or malignant lesions. On MRI, most papillomas presented as mass (n?=?135, 77.1%), and fewer as NME (n?=?37, 21.1%) and occult lesion (n?=?3, 1.7%). For the mass lesion, the logistic regression analysis demonstrated that a mass size exceeding 10?mm (OR?=?2.956) and mixed mass-NME lesion (OR?=?4.143) were independent risk indicators for a papilloma with high-risk or malignant lesions. For the NME lesion, the segmental or regional distribution was more commonly observed in the papilloma with high-risk or malignant lesions (61.5%) than the benign papilloma (12.5%) (P?=?0.006). All the cases of occult lesions were benign papillomas.

Conclusions

MRI features including a mass size exceeding 10?mm, mixed mass-NME lesion, and NMEs with segmental or regional distribution indicate a papilloma with high-risk or malignant lesions.

     

Estrogens Correlate with PELP1 Expression in ER Positive Breast Cancer

The Proline-, glutamic acid- and leucine-rich protein 1 (PELP1) is an estrogen receptor (ER) coactivator and a proto-oncogene known to be deregulated in endocrine cancers. In breast cancer, PELP1 overexpression has been associated with endocrine therapy resistance. Although PELP1 is known to be regulated by estrogens in vitro, its association with estrogen levels within the tissue of breast cancer patients has not previously been assessed. Here, we determined PELP1 mRNA expression levels in paired samples of normal and malignant breast tissue obtained from 32 postmenopausal and 11 premenopausal women. In the total sample set, PELP1 levels were higher in tumors compared to normal breast tissue (P = 0.041). Among postmenopausal women, PELP1 tumor levels correlated positively with estrone (E₁) and estradiol (E₂) levels in both normal tissue (r = 0.543, P = 0.003 and r = 0.601, P = 0.001, respectively) and plasma (r = 0.392, P = 0.053 and r = 0.403, P = 0.046, respectively). Analyzing all ER+ tumors (n = 26), PELP1 correlated positively with E₁ and E₂ in tumor tissue (r = 0.562, P = 0.003 and r = 0.411, P = 0.037, respectively) and normal tissue (r = 0.461, P = 0.018 and r = 0.427, P = 0.030, respectively) in addition to plasma E₁, E₂ and estrone sulphate (E₁S) concentrations (r = 0.576, P = 0.003, r = 0.456, P = 0.025 and r = 0.406, P = 0.049, respectively). Finally, PELP1 correlated positively with ER mRNA (ESR1) (r = 0.553, P = 0.026) in ER+ tumors, whereas a negative association between PELP1 and ESR1 (r = -0.733, P = 0.010) was observed in ER- breast tumors. Taken together, tumor PELP1 mRNA expression is associated with estrogen levels in breast cancer, suggesting a potentially important role of PELP1 in ER+ breast cancer growth in vivo.