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Articles by Haixin Lei in JoVE

 JoVE General

Малая ядерная Экстракты для функционального анализов экспрессии генов Machineries


JoVE 4140 6/27/2012

Department of Cell Biology, Harvard Medical School

Протокол для подготовки надежных, мелких HeLa ядерных экстрактов описано. Этот протокол является ценным для анализов, которые требуют использования небольших популяциях клеток, таких как клетки, обработанные с наркотиками или РНК-интерференции. Этот метод должен быть использован для широкого спектра экспрессии генов анализов и другие типы клеток, включая клетки пациента.

Other articles by Haixin Lei on PubMed

Promoter Polymorphisms in Matrix Metalloproteinases and Their Inhibitors: Few Associations with Breast Cancer Susceptibility and Progression

The importance of matrix metalloproteinases and their inhibitors in tumor progression is well documented. We wanted to investigate if single nucleotide polymorphisms (SNPs) in the promoter regions of these genes are associated with susceptibility to or progression of breast cancer. In this, so far largest case-control study, we genotyped eight SNPs in the MMP1, MMP2, MMP3, MMP9, MMP13, RECK and TIMP3 genes in a well-characterized breast cancer series of 959 cases and 952 controls from Sweden. Even though we did not correct for multiple comparisons, only a few associations were noted. We observed a moderately increased risk for the TT homozygotes of the MMP9-1562 C/T SNP (OR 1.88, 95% CI 0.97-3.63) and for the C allele carriers of the TIMP3-1296 T/C SNP (OR 1.25, 95% CI 1.05-1.50). In the survival analysis, only the TC heterozygotes of the RECK-420 T/C SNP showed a better survival compared to the TT homozygotes (P = 0.02 in all cases and P = 0.03 in lymph node negative cases). None of the other SNPs conferred an increased breast cancer risk, nor did they correlate with survival. A combination of the -585 TT homozygosity in the RECK gene and the -1296 TT homozygosity in the TIMP3 gene correlated with estrogen and progesterone receptor status (OR 1.81, 95% CI 1.03-3.21 and OR 2.10, 95% CI 1.18-3.86, respectively), and a combination of the -1306 TT homozygosity in the MMP2 gene and the -1562 CC homozygosity in the MMP9 gene with progesterone receptor status (OR 2.34, 95% CI 1.08-5.08). Although our study suggests some correlations between the studied SNPs and the progression of breast cancer, the rarity of the risk genotypes limits their usefulness in the clinic.

Single Nucleotide Polymorphisms in the DMBT1 Promoter and the Progression of Breast Cancer

PAI-1 -675 4G/5G Polymorphism As a Prognostic Biomarker in Breast Cancer

Extracellular matrix degradation, mediated by the urokinase plasminogen activation (uPA) system, is a critical step in tumor invasion and metastasis. High tumor levels of uPA and its inhibitor PAI-1 have been correlated with poor prognosis in breast cancer. We examined whether genetic variation in the genes of the uPA system affect breast cancer susceptibility and prognosis. We genotyped eight potentially functional single nucleotide polymorphisms (SNPs) in six genes of the uPA system in 959 Swedish breast cancer patients with detailed clinical data and up to 15 years of follow-up together with 952 matched controls. We used the unconditional logistic regression models to evaluate the associations between genotypes and breast cancer risk and tumor characteristics. The Kaplan-Meier method was used to estimate the survival probabilities; the log-rank test was used to test differences between subgroups. None of the SNPs conferred an increased breast cancer risk, but correlation with some traditional prognostic factors was observed for several SNPs. Most importantly, we identified the -675 4G/5G SNP in the PAI-1 gene as a promising prognostic biomarker for breast cancer. Compared to the 4G/4G and 4G/5G genotypes 5G/5G homozygosity correlated significantly with worse survival (RR 2.04, 95% CI 1.45-2.86, P<0.001), especially in patients with more aggressive tumors. 5G/5G homozygotes were also the group with worse survival among lymph node negative cases. Our finding suggests that genotyping PAI-1 -675 4G/5G may help in clinical prognosis of breast cancer.

Polymorphisms in Predicted MicroRNA-binding Sites in Integrin Genes and Breast Cancer: ITGB4 As Prognostic Marker

Integrins control the cell attachment to the extracellular matrix and play an important role in mediating cell proliferation, migration and survival. A number of important cancer-associated integrin genes can be regulated by microRNAs (miRNAs) that bind to their target sites in the 3' untranslated regions. We examined the effect of single-nucleotide polymorphisms (SNPs) in predicted miRNA target sites of six integrin genes (ITGA3, ITGA6, ITGAv, ITGB3, ITGB4 and ITGB5) on breast cancer (BC) risk and clinical outcome. Six SNPs were genotyped in 749 Swedish incident BC cases with detailed clinical data and up to 15 years of follow-up together with 1493 matched controls. We evaluated associations between genotypes and BC risk and clinical tumour characteristics. Survival probabilities were compared between different subgroups. As a novel finding, several SNPs seemed to associate with the hormone receptor status. The strongest association was observed between the A allele of the SNP rs743554 in the ITGB4 gene and oestrogen receptor-negative tumours [odds ratio 2.09, 95% confidence intervals (CIs) 1.19-3.67]. The same SNP was associated with survival. The A allele carriers had a worse survival compared with the wild-type genotype carriers (hazard ratio 2.11, 95% CIs 1.21-3.68). The poor survival was significantly associated with the aggressive tumour characteristics: high grade, lymph node metastasis and high stage. None of the SNPs was significantly associated with BC risk. As the ITGB4 SNP seems to influence tumour aggressiveness and survival, it may have prognostic value in the clinic.

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