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1.
Oncotarget ; 8(44): 77369-77384, 2017 Sep 29.
Article in English | MEDLINE | ID: mdl-29100393

ABSTRACT

Deregulated expression of microRNAs has the oncogenic or tumor suppressor function in cancer. Since miRNAs in plasma are highly stable, their quantification could contribute to more precise cancer diagnosis, prognosis and therapy prediction. We have quantified expression of seven oncomiRs, namely miR-17/92 cluster (miR-17, miR-18a, miR-19a and miR-20a), miR-21, miR-27a and miR-155, in plasma of 137 breast cancer (BC) patients. We detected down-regulation of six miRNAs in patients with invasive BC compared to controls; however, only miR-20a and miR-27a down-regulations were statistically significant. Comparing miRNA expression between early and advanced stages of BC, we observed statistically significant decrease of miR-17 and miR-19a. We identified down-regulation of miR-17 and miR-20a in patients with clinical parameters of advanced BC (lymph node metastasis, tumor grade 3, circulating tumor cells, higher Ki-67-related proliferation, hormone receptor negativity and HER2 amplification), when compared to controls. Moreover, decreased level of miR-17 was found from low to high grade. Therefore, miR-17 could represent an indicator of advanced BC. Down-regulated miR-27a expression levels were observed in all clinical categories regardless of tumor progression. Hence, miR-27a could be used as a potential diagnostic marker for BC. Our data indicates that any changes in miRNA expression levels in BC patients in comparison to controls could be highly useful for cancer-associated pathology discrimination. Moreover, dynamics of miRNA expression changes could be used for BC progression monitoring.

2.
Transl Oncol ; 9(3): 184-90, 2016 Jun.
Article in English | MEDLINE | ID: mdl-27267835

ABSTRACT

Circulating tumor cells (CTCs) are independent prognostic factors in the primary and metastatic breast cancer patients and play crucial role in hematogenous tumor dissemination. The aim of this study was to correlate the presence of CTCs in peripheral blood with the expression of proteins in tumor tissue that have a putative role in regulation of cell growth and metastatic potential. This prospective study included 203 primary breast cancer patients treated by definitive surgery. CTCs were detected by quantitative real-time PCR for the expression of epithelial (CK19) or epithelial-to-mesenchymal transition-inducing transcription factor genes (TWIST1, SNAIL1, SLUG, and ZEB1). Expression of APC, ADAM23, CXCL12, E-cadherin, RASSF1, SYK, TIMP3, BRMS1, and SOCS1 proteins in primary breast tumor tissue was evaluated by immunohistochemistry. CTCs with epithelial markers were found in 17 (9.2%) patients. Their occurrence was associated with inhibition of SOCS1 expression (odds ratio [OR] = 0.07; 95% confidence interval [CI], 0.03-0.13; P < .001). CTCs with positive epithelial-to-mesenchymal transition markers were detected in 30 (15.8%) patients; however, no association with analyzed protein expressions was found. Overall, CTCs were detected in 44 (22.9%) patients. Presence of any CTC marker was significantly associated with positive CXCL12 expression (OR = 3.08; 95% CI, 1.15-8.26; P = .025) and lack of SOCS1 expression (OR = 0.10; 95% CI, 0.04-0.25; P < .001) in patient's tumor tissues. As both CXCL12 and SOCS1 proteins are involved in cytokine signaling, our results provide support for the hypothesis that aberrant signaling cross talk between cytokine and chemokine responses could have an important role in hematogenous dissemination of tumor cells in breast cancer.

3.
Transl Res ; 165(6): 717-30, 2015 Jun.
Article in English | MEDLINE | ID: mdl-25620615

ABSTRACT

More than 25% of the patients with breast cancer (BC) develop metastatic disease. In the present study, we investigated the relationship between DNA methylation levels in genes regulating cell growth, invasiveness, and metastasis and advanced BCs and evaluated the clinical utility of methylation profiles for detecting metastatic potential. Pyrosequencing was used to quantify methylation levels in 11 cancer-associated genes in primary tumors (PTs), lymph node metastases (LNMs), plasma (PL), and blood cells from 206 patients with invasive BC. Protein expression was evaluated using immunohistochemistry. PTs showed hypermethylation of A isoform of the RAS-association domain family 1 (RASSF1A), adenomatous polyposis coli (APC), chemokine C-X-C motif ligand 12 (CXCL12), and disintegrin and metalloprotease domain 23 (ADAM23) (means 38.98%, 24.84%, 12.04%, and 10.01%, respectively). Positive correlations were identified between methylations in PTs and LNMs, but not between PL and PTs. The cumulative methylation of PTs and LNMs manifested similar spectrums of methylated genes that indicate the maintaining of aberrant methylation during breast tumorigenesis. Significantly increased methylation levels in RASSF1A, APC, CXCL12, and ADAM23 were found in estrogen receptor (ER) positive BCs in comparison with ER negative cases. Regarding these results, the evaluation of DNA methylation could be more informative in testing of patients with ER positive BC. The risk for LNMs development and higher proliferation of cancer cells measured through Ki-67 expression was increased by hypermethylation of CXCL12 and ADAM23, respectively. Therefore, the quantification of CXCL12 and ADAM23 methylation could be useful for the prediction of advanced stage of BC.


Subject(s)
ADAM Proteins/genetics , Breast Neoplasms/genetics , Chemokine CXCL12/genetics , DNA Methylation , Biomarkers, Tumor/metabolism , Breast Neoplasms/pathology , Female , Humans , Middle Aged
4.
Transl Oncol ; 6(3): 297-304, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23730409

ABSTRACT

The aim of this study was to investigate the relationship between the promoter methylation in five cancer-associated genes and clinicopathologic features for identification of molecular markers of tumor metastatic potential and hormone therapy response efficiency in breast cancer. The methylation levels in paraffin-embedded tumor tissues, plasma, and blood cells from 151 sporadic breast cancer patients and blood samples of 50 controls were evaluated by quantitative multiplex methylation-specific polymerase chain reaction. DNA methylation of RAS-association domain family member 1 (RASSF1A), estrogen receptor 1 (ESR1), cadherin 1, type 1, E-cadherin (CDH1), TIMP metallopeptidase inhibitor 3 (TIMP3) and spleen tyrosine kinase (SYK) genes was detected in the tumors of 124, 19, 15, 15, and 6 patients with mean levels of 48.45%, 3.81%, 2.36%, 27.55%, and 10.81%, respectively. Plasma samples exhibited methylation in the same genes in 25, 10, 15, 17, and 3 patients with levels of 22.54%, 17.20%, 22.87%, 31.93%, and 27.42%, respectively. Cumulative methylation results confirmed different spectra in tumor and plasma samples. Simultaneous methylation in tumors and plasma were shown in less than 17% of patients. RASSF1A methylation levels in tumor samples statistically differ according to tumor size (P = .029), estrogen receptor (ER) and progesterone receptor (PR) status (P = .000 and P = .004), and immunohistochemical subtype (P = .000). Moreover, the positive correlation was found between RASSF1A methylation levels and percentage of cancer cells expressing ER and PR. The direct relationship between RASSF1A promoter methylation and expression of ER could aid the prognosis of hormonal therapy response.

5.
Cancer Biomark ; 10(1): 13-26, 2011.
Article in English | MEDLINE | ID: mdl-22297548

ABSTRACT

Breast cancer is the most common cancer in women worldwide, representing 28.2% of all female malignancies. In addition to genetic changes, epigenetic events, as aberrant DNA methylation and histone modification, are responsible for cancer development. Many tumour suppressor genes are inactivated by DNA hypermethylation, which could be utilized for identification of new epigenetic biomarkers. To investigate the relation between DNA methylation level and breast cancer progression, we analysed DNA methylation in RASSF1A and CDH1 promoters using quantitative multiplex methylation-specific PCR in paraffin-embedded tumour tissues and blood samples from 92 breast cancer patients and 50 controls, respectively. The associations between RASSF1A and CDH1 methylation levels and clinico-pathological parameters were tested by Kruskal-Wallis and van der Waerden ANOVA tests. Out of 92 breast cancer patients, 76 (82.6%) manifested various levels of RASSF1A (range from 1.20 to 92.63%) and 20 (21.7%) of CDH1 (range from 1.20 to 79.62%) methylation. However, no methylation was found in 50 controls. Increasing trends in RASSF1A methylation were observed in tumour size, lymph node status and TNM stage, but only CDH1 methylation levels showed statistically significant differences between the patient subgroups in lymph node status and IHC subtype. Overall, stable relatively high RASSF1A methylation could be utilised as universal tumour marker and the less frequent but highly methylated CDH1 promoter can serve for identification of potentially metastasising tumours.


Subject(s)
Biomarkers, Tumor/genetics , Breast Neoplasms/genetics , Cadherins/genetics , Carcinoma, Ductal, Breast/genetics , Carcinoma, Lobular/genetics , DNA Methylation , Tumor Suppressor Proteins/genetics , Aged , Analysis of Variance , Antigens, CD , Breast Neoplasms/diagnosis , Breast Neoplasms/pathology , Calibration , Carcinoma, Ductal, Breast/diagnosis , Carcinoma, Ductal, Breast/pathology , Carcinoma, Lobular/diagnosis , Carcinoma, Lobular/pathology , Case-Control Studies , Early Detection of Cancer/methods , Epigenesis, Genetic , Female , Genetic Association Studies , Humans , Lymphatic Metastasis , Middle Aged , Promoter Regions, Genetic , Real-Time Polymerase Chain Reaction/standards , Reference Standards , Tumor Burden
6.
Breast Cancer Res Treat ; 119(1): 233-7, 2010 Jan.
Article in English | MEDLINE | ID: mdl-19011960

ABSTRACT

Mutations in the BRCA1 and BRCA2 genes account for the majority of hereditary breast ovarian cancer (HBOC) cases. However, after BRCA1 and BRCA2 screening still the most HBOC cases remain negative for any mutational event. Accordingly, in these cases raises the relevance to analyze the unusual BRCA1/2 variants of uncertain clinical significance. Complex RNA/cDNA analysis may constitute the solution and help to interpret the HBOC syndrome in the family. In our study we analyzed the novel, to our knowledge, not yet published mutations identified in Slovak HBOC families, c.80 + 3del4 (IVS2 + 3delAGTC) in BRCA1 gene and mutation c.6589delA (6817delA) in BRCA2 gene. To determine the effect of the BRCA1 mutation, we applied different approaches: segregation analysis of mutation with disease, presence in the set of unaffected controls and finally RNA/cDNA BRCA1 analysis. Novel BRCA2 mutation was determined performing direct sequencing analysis. In conclusion, considering the results from all used techniques we approved the mentioned mutations as seriously pathogenic and disease causing with clear effect on the onset of HBOC syndrome.


Subject(s)
Breast Neoplasms/genetics , DNA Mutational Analysis , Gene Deletion , Genes, BRCA1 , Genes, BRCA2 , Ovarian Neoplasms/genetics , Aged , Base Sequence , Exons , Family Health , Female , Humans , Middle Aged , Molecular Sequence Data , Mutation , Pedigree , Slovakia
7.
BMC Cancer ; 9: 405, 2009 Nov 20.
Article in English | MEDLINE | ID: mdl-19930554

ABSTRACT

BACKGROUND: Depending on the population studied, large genomic rearrangements (LGRs) of the mismatch repair (MMR) genes constitute various proportions of the germline mutations that predispose to hereditary non-polyposis colorectal cancer (HNPCC). It has been reported that loss of heterozygosity (LOH) at the LGR region occurs through a gene conversion mechanism in tumors from MLH1/MSH2 deletion carriers; however, the converted tracts were delineated only by extragenic microsatellite markers. We sought to determine the frequency of LGRs in Slovak HNPCC patients and to study LOH in tumors from LGR carriers at the LGR region, as well as at other heterozygous markers within the gene to more precisely define conversion tracts. METHODS: The main MMR genes responsible for HNPCC, MLH1, MSH2, MSH6, and PMS2, were analyzed by MLPA (multiplex ligation-dependent probe amplification) in a total of 37 unrelated HNPCC-suspected patients whose MLH1/MSH2 genes gave negative results in previous sequencing experiments. An LOH study was performed on six tumors from LGR carriers by combining MLPA to assess LOH at LGR regions and sequencing to examine LOH at 28 SNP markers from the MLH1 and MSH2 genes. RESULTS: We found six rearrangements in the MSH2 gene (five deletions and dup5-6), and one aberration in the MLH1 gene (del5-6). The MSH2 deletions were of three types (del1, del1-3, del1-7). We detected LOH at the LGR region in the single MLH1 case, which was determined in a previous study to be LOH-negative in the intragenic D3S1611 marker. Three tumors displayed LOH of at least one SNP marker, including two cases that were LOH-negative at the LGR region. CONCLUSION: LGRs accounted for 25% of germline MMR mutations identified in 28 Slovakian HNPCC families. A high frequency of LGRs among the MSH2 mutations provides a rationale for a MLPA screening of the Slovakian HNPCC families prior scanning by DNA sequencing. LOH at part of the informative loci confined to the MLH1 or MSH2 gene (heterozygous LGR region, SNP, or microsatellite) is a novel finding and can be regarded as a partial LOH. The conversion begins within the gene, and the details of conversion tracts are discussed for each case.


Subject(s)
Adaptor Proteins, Signal Transducing/genetics , Colorectal Neoplasms, Hereditary Nonpolyposis/genetics , Gene Rearrangement , Loss of Heterozygosity , MutS Homolog 2 Protein/genetics , Nuclear Proteins/genetics , Base Sequence , Humans , MutL Protein Homolog 1 , Mutation , Polymorphism, Single Nucleotide
8.
Clin Chem ; 54(11): 1844-54, 2008 Nov.
Article in English | MEDLINE | ID: mdl-18772310

ABSTRACT

BACKGROUND: In the workup of patients with suspected hereditary nonpolyposis colorectal cancer (HNPCC), detection of loss of heterozygosity (LOH) could help pinpoint the mismatch-repair (MMR) gene carrying the germline mutation, but analysis of microsatellite markers has proved unreliable for this purpose. We developed a simple, low-cost method based on single-nucleotide polymorphism (SNP) genotyping and capillary electrophoresis for the assessment of LOH at 2 MMR loci simultaneously. METHODS: We used the Applied Biosystems SNaPshot Multiplex Kit with meticulously selected primers to assess 14 common SNPs in MLH1 [mutL homolog 1, colon cancer, nonpolyposis type 2 (E. coli)] and MSH2 [mutS homolog 2, colon cancer, nonpolyposis type 1 (E. coli)] and optimized the protocol for DNA isolated from peripheral blood and fresh/frozen or archival microsatellite-unstable tumors from patients with confirmed (n = 42) or suspected (n = 25) HNPCC. The 42 tumors from patients with confirmed MLH1 or MSH2 germline mutations were used to validate the method's diagnostic accuracy against results obtained with DNA sequencing or multiplex ligation-dependent probe amplification. RESULTS: The SNaPshot assay provided better detection of certain SNPs than DNA sequencing. The MLH1 and MSH2 SNP marker sets were informative in 82% and 76% of the 67 cases analyzed, respectively. The new assay displayed 100% specificity for detecting LOH and predicted the location of the germline mutation in 40% of the cases (54% of those involving MLH1, 22% in MSH2). CONCLUSIONS: Our SNP-based method for detecting LOH in MLH1 and MSH2 is simple to perform with instruments available in most clinical genetics laboratories. It can be a valuable addition to protocols now used to guide mutational screening of patients with suspected HNPCC.


Subject(s)
Adaptor Proteins, Signal Transducing/genetics , Base Pair Mismatch/genetics , Colorectal Neoplasms, Hereditary Nonpolyposis/genetics , DNA Repair/genetics , Loss of Heterozygosity , MutS Homolog 2 Protein/genetics , Nuclear Proteins/genetics , Polymorphism, Single Nucleotide , Base Sequence , DNA Primers , Genotype , Humans , MutL Protein Homolog 1 , Polymerase Chain Reaction , Sensitivity and Specificity
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