7 research outputs found

    HPV infection and breast cancer : results of a microarray approach

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    Objectives: Human papilloma virus (HPV) has been implicated in several types of epithelial cancer. The role of HPV in breast carcinogenesis has been a matter of debate fueled by conflicting reports in recent years. The aim of this study is to identify the prevalence of breast and cervical HPV infection in cancer patients by using a modern microarray approach. Materials and methods: In the present prospective study, 201 breast cancer patients were included. For each patient a detailed medical history was taken and during the operation, under sterile conditions, samples were collected, from the tumour, the healthy adjacent breast tissue and any positive sentinel lymph nodes. In addition, for each patient a cervical sample was also collected. All samples were analysed for DNA of 24 types of HPV using a microarray technique. Results: Despite the high sensitivity of the technique used, no HPV DNA was identified in any of the breast or lymph node samples. Our analysis showed that patients with HPV positive cervical samples (28 cases) were more likely to have tumors with positive progesterone receptors (p=0.041) and were also more likely to have two or three positive lymph nodes (p=0.002). Conclusion: In the present study, a combination of careful sample collection and a very sensitive microarray approach showed no correlation between HPV and breast cancer. However some characteristics of the breast tumors were different among patients with HPV DNA in their cervical samples

    Serum Concentration of Selected Angiogenesis-Related Molecules Differs among Molecular Subtypes, Body Mass Index and Menopausal Status in Breast Cancer Patients

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    Background: Angiogenesis is a hallmark of breast cancer (BC) and is mediated by the vascular endothelial growth factor (VEGF) signaling axis. It is regulated by different proangiogenic factors, including platelet-derived growth factor-CC (PDGF-CC) and heparin-binding EGF-like growth factor (HB-EGF), as well as co-receptors, such as neuropilin-1, which could have prognostic implications in BC patients. Patients and methods: We assessed the serum levels of VEGF, HB-EGF, PDGF-CC and neuropilin-1 in 205 patients with early BC (invasive, n = 187; in situ, n = 18) and in 31 healthy donors (HD) and investigated the potential associations with clinical and histopathological parameters. Results: VEGF serum levels were significantly higher in patients with invasive versus ductal carcinomas in situ. PDGF-CC serum concentrations varied among BC molecular subtypes. Furthermore, we observed a differential expression of most biomarkers between overweight/obese (body mass index (BMI) ≥ 25 kg/m(2)) and non-obese patients among the BC molecular subtypes. Finally, the classification of subjects according to menopausal status revealed a significant difference in specific biomarker levels between patients and HD. Conclusion: The serum concentrations of angiogenic molecules differ among breast cancer molecular subtypes and are affected by the BMI and menopausal status, which could have possible clinical or prognostic implications

    Single-Cell mRNA Analysis for the Identification of Molecular Pathways of IRF1 in HER2+ Breast Cancer

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    Clonally established tumor cell lines often do not recapitulate the behavior of cells in tumors. The sequencing of a whole tumor tissue may not uncover transcriptome profiles induced by the interactions of all different cell types within a tumor. Interferons for instance have a vast number of binding sites in their target genes. Access to the DNA binding sites is determined by the epigenomic state of each different cell type within a tumor mass. To understand how genes such as interferons appear to have both tumor-promoting and tumor-inhibiting functions, single-cell transcript analysis was performed in the breast cancer tissue of HER2+ (epidermal growth factor receptor 2) patients. We identified that potential antagonistic oncogenic activities of cells can be due to diverse expression patterns of genes with pleiotropic functions. Molecular pathways both known and novel were identified and were similar with those previously identified for patients with rheumatoid arthritis. Our study demonstrates the efficacy in using single-cell transcript analysis to gain insight into genes with apparent contradictory or paradoxical roles in oncogenesis
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