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- Dmitriev, Alexey A, et al.
(author)
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Genetic and epigenetic analysis of non-small cell lung cancer with NotI-microarrays
- 2012
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In: Epigenetics. - : Landes Bioscience. - 1559-2294 .- 1559-2308. ; 7:5, s. 502-513
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Journal article (peer-reviewed)abstract
- This study aimed to clarify genetic and epigenetic alterations that occur during lung carcinogenesis and to design perspective sets of newly identified biomarkers. The original method includes chromosome 3 specific NotI-microarrays containing 180 NotI clones associated with genes for hybridization with 40 paired normal/tumor DNA samples of primary lung tumors: 28 squamous cell carcinomas (SCC) and 12 adenocarcinomas (ADC). The NotI-microarray data were confirmed by qPCR and bisulfite sequencing analyses. Forty-four genes showed methylation and/or deletions in more than 15% of non-small cell lung cancer (NSCLC) samples. In general, SCC samples were more frequently methylated/deleted than ADC. Moreover, the SCC alterations were observed already at stage I of tumor development, whereas in ADC many genes showed tumor progression specific methylation/deletions. Among genes frequently methylated/deleted in NSCLC, only a few were already known tumor suppressor genes: RBSP3 (CTDSPL), VHL and THRB. The RPL32, LOC285205, FGD5 and other genes were previously not shown to be involved in lung carcinogenesis. Ten methylated genes, i.e., IQSEC1, RBSP3, ITGA9, FOXP1, LRRN1, GNAI2, VHL, FGD5, ALDH1L1 and BCL6 were tested for expression by qPCR and were found downregulated in the majority of cases. Three genes (RBSP3, FBLN2 and ITGA9) demonstrated strong cell growth inhibition activity. A comprehensive statistical analysis suggested the set of 19 gene markers, ANKRD28, BHLHE40, CGGBP1, RBSP3, EPHB1, FGD5, FOXP1, GORASP1/TTC21, IQSEC1, ITGA9, LOC285375, LRRC3B, LRRN1, MITF, NKIRAS1/RPL15, TRH, UBE2E2, VHL, WNT7A, to allow early detection, tumor progression, metastases and to discriminate between SCC and ADC with sensitivity and specificity of 80-100%.
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2. |
- Mostovich, Luydmila A, et al.
(author)
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Integrin alpha9 (ITGA9) expression and epigenetic silencing in human breast tumors
- 2011
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In: CELL ADHESION and MIGRATION. - : Landes Bioscience. - 1933-6918 .- 1933-6926. ; 5:5, s. 395-401
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Journal article (peer-reviewed)abstract
- Integrin alpha9 (ITGA9) is one of the less studied integrin subunits that facilitates accelerated cell migration and regulates diverse biological functions such as angiogenesis, lymphangiogenesis, cancer cell proliferation and migration. In this work, integrin alpha9 expression and its epigenetic regulation in normal human breast tissue, primary breast tumors and breast cancer cell line MCF7 were studied. It was shown that integrin alpha9 is expressed in normal human breast tissue. In breast cancer, ITGA9 expression was downregulated or lost in 44% of tumors while another 45% of tumors showed normal or increased ITGA9 expression level (possible aberrations in the ITGA9 mRNA structure were supposed in 11% of tumors). Methylation of ITGA9 CpG-island located in the first intron of the gene was shown in 90% of the breast tumors with the decreased ITGA9 expression while no methylation at 5-untranslated region of ITGA9 was observed. 5-aza-dC treatment restored integrin alpha9 expression in ITGA9-negative MCF7 breast carcinoma cells, Trichostatin A treatment did not influenced it but a combined treatment of the cells with 5-aza-dC/Trichostatin A doubled the ITGA9 activation. The obtained results suggest CpG methylation as a major mechanism of integrin alpha9 inactivation in breast cancer with a possible involvement of other yet unidentified molecular pathways.
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3. |
- Haraldson, Klas, et al.
(author)
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LRRC3B gene is frequently epigenetically inactivated in several epithelial malignancies and inhibits cell growth and replication
- 2012
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In: Biochimie. - : Elsevier. - 0300-9084 .- 1638-6183. ; 94:5, s. 1151-1157
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Journal article (peer-reviewed)abstract
- Chromosome 3 specific NotI microarrays containing 180 NotI linking clones associated with 188 genes were hybridized to NotI representation probes prepared using matched tumor/normal samples from major epithelial cancers: breast (47 pairs), lung (40 pairs) cervical (43 pairs), kidney (34 pairs of clear cell renal cell carcinoma), colon (24 pairs), ovarian (25 pairs) and prostate (18 pairs). In all tested primary tumors (compared to normal controls) methylation and/or deletions was found. For the first time we showed that the gene LRRC3B was frequently methylated and/or deleted in breast carcinoma - 32% of samples, cervical - 35%, lung - 40%, renal - 35%, ovarian - 28%, colon - 33% and prostate cancer - 44%. To check these results bisulfite sequencing using cloned PCR products with representative two breast, one cervical, two renal, two ovarian and two colon cancer samples was performed. In all cases methylation was confirmed. Expression analysis using RT-qPCR showed that LRRC3B is strongly down-regulated at the latest stages of RCC and ovarian cancers. In addition we showed that LRRC3B exhibit strong cell growth inhibiting activity (more than 95%) in colony formation experiments in vitro in KRC/Y renal cell carcinoma line. All these data suggest that LRRC3B gene could be involved in the process of carcinogenesis as a tumor suppressor gene.
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4. |
- Kashuba, Vladimir, et al.
(author)
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NotI Microarrays: Novel Epigenetic Markers for Early Detection and Prognosis of High Grade Serous Ovarian Cancer
- 2012
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In: International Journal of Molecular Sciences. - : MDPI. - 1661-6596 .- 1422-0067. ; 13:10, s. 13352-13377
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Journal article (peer-reviewed)abstract
- Chromosome 3-specific NotI microarray (NMA) containing 180 clones with 188 genes was used in the study to analyze 18 high grade serous ovarian cancer (HGSOC) samples and 7 benign ovarian tumors. We aimed to find novel methylation-dependent biomarkers for early detection and prognosis of HGSOC. Thirty five NotI markers showed frequency of methylation/deletion more or equal to 17%. To check the results of NMA hybridizations several samples for four genes (LRRC3B, THRB, ITGA9 and RBSP3 (CTDSPL)) were bisulfite sequenced and confirmed the results of NMA hybridization. A set of eight biomarkers: NKIRAS1/RPL15, THRB, RBPS3 (CTDSPL), IQSEC1, NBEAL2, ZIC4, LOC285205 and FOXP1, was identified as the most prominent set capable to detect both early and late stages of ovarian cancer. Sensitivity of this set is equal to (72 +/- 11)% and specificity (94 +/- 5)%. Early stages represented the most complicated cases for detection. To distinguish between Stages I + II and Stages III + IV of ovarian cancer the most perspective set of biomarkers would include LOC285205, CGGBP1, EPHB1 and NKIRAS1/RPL15. The sensitivity of the set is equal to (80 +/- 13)% and the specificity is (88 +/- 12)%. Using this technique we plan to validate this panel with new epithelial ovarian cancer samples and add markers from other chromosomes.
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