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1.
Clinics (Sao Paulo) ; 73: e184, 2018 07 10.
Article in English | MEDLINE | ID: mdl-29995098

ABSTRACT

OBJECTIVE: MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression at the posttranscriptional level. Some miRNAs, including let-7a and miR-195, have been described as tumor suppressors. However, the roles of these microRNAs in breast cancer progression remain controversial. The aim of this study is to evaluate miR-195 and let-7a expression as potential biomarkers of invasive breast cancer. METHODS: In the present study, 200 individuals were separated into three groups: (i) 72 women constituting the control group who were selected according to rigorous and well-established criteria; (ii) 56 patients with benign breast tumors; and (iii) 72 patients with malignant breast cancers of different clinical stages. The miR-195 and let-7a expression levels in serum were evaluated by real-time PCR. The results were assessed alone and in combination, and the analysis included an estimation of sensitivity and specificity in ROC curves. RESULTS: Compared with the benign and control groups, both microRNAs were downregulated in the malignant breast cancer patient group. Compared with the malignant group, the combination of both biomarkers in the control and benign groups showed good sensitivity and specificity in the serum with AUCs of 0.75 and 0.72, respectively. The biomarker combination for the control group versus the malignant group exhibited a better sensitivity and specificity than for the benign group versus the malignant group. CONCLUSION: These findings support the evidence that the analysis of miR-195 and let-7a can be used as a non-invasive biomarker for breast cancer detection.


Subject(s)
Breast Neoplasms/blood , MicroRNAs/blood , Adult , Aged , Analysis of Variance , Biomarkers, Tumor/blood , Breast Neoplasms/pathology , Carcinogenesis/pathology , Case-Control Studies , Down-Regulation , Female , Gene Expression Regulation, Neoplastic , Humans , Logistic Models , Middle Aged , Neoplasm Invasiveness , Neoplasm Staging , Prospective Studies , Real-Time Polymerase Chain Reaction , Reference Values , Risk Factors , Sensitivity and Specificity
2.
Clinics ; 73: e184, 2018. tab, graf
Article in English | LILACS | ID: biblio-952804

ABSTRACT

OBJECTIVE: MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression at the posttranscriptional level. Some miRNAs, including let-7a and miR-195, have been described as tumor suppressors. However, the roles of these microRNAs in breast cancer progression remain controversial. The aim of this study is to evaluate miR-195 and let-7a expression as potential biomarkers of invasive breast cancer. METHODS: In the present study, 200 individuals were separated into three groups: (i) 72 women constituting the control group who were selected according to rigorous and well-established criteria; (ii) 56 patients with benign breast tumors; and (iii) 72 patients with malignant breast cancers of different clinical stages. The miR-195 and let-7a expression levels in serum were evaluated by real-time PCR. The results were assessed alone and in combination, and the analysis included an estimation of sensitivity and specificity in ROC curves. RESULTS: Compared with the benign and control groups, both microRNAs were downregulated in the malignant breast cancer patient group. Compared with the malignant group, the combination of both biomarkers in the control and benign groups showed good sensitivity and specificity in the serum with AUCs of 0.75 and 0.72, respectively. The biomarker combination for the control group versus the malignant group exhibited a better sensitivity and specificity than for the benign group versus the malignant group. CONCLUSION: These findings support the evidence that the analysis of miR-195 and let-7a can be used as a non-invasive biomarker for breast cancer detection.


Subject(s)
Breast Neoplasms/blood , MicroRNAs/blood , Reference Values , Breast Neoplasms/pathology , Biomarkers, Tumor/blood , Case-Control Studies , Down-Regulation , Gene Expression Regulation, Neoplastic , Logistic Models , Prospective Studies , Risk Factors , Analysis of Variance , Sensitivity and Specificity , Real-Time Polymerase Chain Reaction , Carcinogenesis/pathology , Neoplasm Invasiveness , Neoplasm Staging
3.
Oncol Lett ; 14(1): 1054-1060, 2017 Jul.
Article in English | MEDLINE | ID: mdl-28693273

ABSTRACT

Breast cancer (BC) is a leading cause of cancer-associated mortality in females worldwide. MicroRNAs (miRNAs or miRs), a type of non-coding RNA, have been reported to be important in the regulation of BC onset and progression. Several studies have implicated the role of miR-183 and miR-494 in different types of cancer. However, the biological functions of these miRNAs in BC remain largely unknown. In the present study, the expression of both miRNAs was assessed in the MDA-MB-231 and MDA-MB-468 BC cell lines. It was hypothesized that miR-183 and miR-494 serve an important role in regulating the expression of key genes associated with the metastatic phenotype of BC cells. To further understand their role, the expression of these miRNAs was restored in selected BC cell lines. Functional assays revealed that overexpression of miR-183 or miR-494 modulated the proliferation and migration of MDA-MB-231 and MDA-MB-468 cells in vitro. Additionally, retinoblastoma 1 (RB1) was identified to be a downstream target of both miRNAs by in silico analysis. Western blotting revealed that upregulation of miR-183 was associated with downregulation of RB1 protein in MDA-MB-231 cells. In conclusion, the present results support the hypothesis that miR-183 and miR-494 serve a pivotal role in BC metastasis, and that miR-183 may act as an oncogene by targeting RB1 protein in MDA-MB-231 cells.

4.
Oncol Lett ; 13(6): 4708-4712, 2017 Jun.
Article in English | MEDLINE | ID: mdl-28588725

ABSTRACT

Breast cancer is the leading cause of cancer mortality in females worldwide. Studies based on gene expression profiles have identified different breast cancer molecular subtypes, such as luminal A and B cells, cancer cells that are estrogen receptor (ER) and/or progesterone receptor (PR) positive, human epidermal growth factor 2 (HER2)-enriched cells, cancer cells that exhibit an overexpression of the oncogene HER2, and triple-negative cells, cancer cells that are negative for ER, PR and HER2 expression. Immunohistochemistry is the most common type of method used for the identification of these molecular subtypes, through the identification of specific cell receptors. The present study aimed to evaluate the ER, PR and HER2 receptor expression in human breast cancer cell lines, and to classify the corresponding molecular subtype comparing two alternative methods. In the present study, a panel of human mammary carcinoma cell lines: BT-20; Hs578T; MCF-7; MCF-7/AZ; MDA-MB-231; MDA-MB-468; SKBR3; and T47D were used. Immunohistochemical and immunocytochemistry assays were used to characterize the breast cancer subtypes of these cell lines according to the expression of ER, PR and HER2 receptors. The results revealed the molecular characterization of this panel of breast cancer cell lines, using the differential expression of classical and clinically used markers in concordance with previous studies. In addition, these data are important for additional in vitro studies of these specific receptors.

5.
BMC Cancer ; 14: 739, 2014 Oct 02.
Article in English | MEDLINE | ID: mdl-25277099

ABSTRACT

BACKGROUND: MicroRNAs (miRNAs) are small, non-coding RNA molecules involved in post-transcriptional gene regulation and have recently been shown to play a role in cancer metastasis. In solid tumors, especially breast cancer, alterations in miRNA expression contribute to cancer pathogenesis, including metastasis. Considering the emerging role of miRNAs in metastasis, the identification of predictive markers is necessary to further the understanding of stage-specific breast cancer development. This is a retrospective analysis that aimed to identify molecular biomarkers related to distant breast cancer metastasis development. METHODS: A retrospective case cohort study was performed in 64 breast cancer patients treated during the period from 1998-2001. The case group (n = 29) consisted of patients with a poor prognosis who presented with breast cancer recurrence or metastasis during follow up. The control group (n = 35) consisted of patients with a good prognosis who did not develop breast cancer recurrence or metastasis. These patient groups were stratified according to TNM clinical stage (CS) I, II and III, and the main clinical features of the patients were homogeneous. MicroRNA profiling was performed and biomarkers related to metastatic were identified independent of clinical stage. Finally, a hazard risk analysis of these biomarkers was performed to evaluate their relation to metastatic potential. RESULTS: MiRNA expression profiling identified several miRNAs that were both specific and shared across all clinical stages (p ≤ 0.05). Among these, we identified miRNAs previously associated with cell motility (let-7 family) and distant metastasis (hsa-miR-21). In addition, hsa-miR-494 and hsa-miR-21 were deregulated in metastatic cases of CSI and CSII. Furthermore, metastatic miRNAs shared across all clinical stages did not present high sensitivity and specificity when compared to specific-CS miRNAs. Between them, hsa-miR-183 was the most significative of CSII, which miRNAs combination for CSII (hsa-miR-494, hsa-miR-183 and hsa-miR-21) was significant and were a more effective risk marker compared to the single miRNAs. CONCLUSIONS: Women with metastatic breast cancer, especially CSII, presented up-regulated levels of miR-183, miR-494 and miR-21, which were associated with a poor prognosis. These miRNAs therefore represent new risk biomarkers of breast cancer metastasis and may be useful for future targeted therapies.


Subject(s)
Biomarkers, Tumor/genetics , Breast Neoplasms/genetics , Breast Neoplasms/pathology , MicroRNAs/genetics , Adult , Aged , Aged, 80 and over , Female , Humans , Middle Aged , Neoplasm Metastasis , Neoplasm Staging , Oligonucleotide Array Sequence Analysis , Pilot Projects , Prognosis , Retrospective Studies
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