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Content available remote The role of genetic and other biomarkers in NSCLC prognosis
The development of non-small-cell lung cancer (NSCLC) is a multistep process, which is triggered and maintained by various factors. Many steps of non-small-cell lung carcinogenesis, risk factors and biomarkers have been identified; however no consistent model has been established of personalized medicine for these patients. Distinct various gene expression, products of mutated genes and other markers such as circulating nucleic acids or tumor cells has been proven to be potential biomarkers of non-small cell lung cancer as well as potential targets for new treatment strategies. This article will highlight promising biomarkers in non-small cell lung cancer prognosis.
Content available remote Investigating gene expression profile of non-small cell lung cancer
Open Medicine
tom 6
nr 5
Lung cancer is mainly a lifestyle-associated disease with poor prognosis and the lowest five year survival rate of all types of cancer. Lung cancers are divided into two main groups: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). Surgical treatment is generally indicated in cases of early stage NSCLC, and those patients treated with radical and aggressive surgery have a somewhat better survival rate. The main problems with lung cancer treatment are due to late diagnosis, rapidly developing drug resistance and side effects of the treatment that are experienced by almost all patients. The next step for distinguishing histologically complicated lung cancers and determining optimal treatment strategies is gene expression analysis. Supported by gene expression data, it is possible to prognosticate the course of the disease.
Aims. This study aimed to investigate CHRNA3 (rs8040868) and PHACTR2 (rs9390123) single-nucleotide polymorphisms (SNPs) for association with non-small-cell lung cancer (NSCLC) risk in a Chinese population, and whether the environment affects the genetic polymorphisms. Methods. This case and control study included 500 NSCLC patients and 500 age-matched healthy controls. CHRNA3 (rs8040868) and PHACTR2 (rs9390123) SNPs were genotyped and associated for NSCLC risk by computing the odds ratio and 95% confidence interval from multivariate unconditional logistic regression analyses with adjustment of age. Results. The minor allele frequency (MAF) of CHRNA3 (rs8040868) and PHACTR2 (rs9390123) was 0.350 (C) and 0.397 (C), respectively. The frequencies of genotype and allele in CHRNA3 (rs8040868) and PHACTR2 (rs9390123) were not significantly different between the cases and controls, or between either of the subgroups. Conclusion. Although rs8040868 and rs9390123 SNPs are not associated with NSCLC risk in Chinese population, the results strongly suggest that geographical agents interact with human genetic polymorphism independent of ethnic background.
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