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新一代测序技术在识别前列腺癌风险基因标志物方面的效能

Efficacy of Next-Generation Sequencing in Identifying Genetic Markers for Prostate Cancer Risk.

作者信息

Alaithan Fahad H, Alaithan Raghad H, Ahmed Tauheed

机构信息

Almaarefa University, Al Khalidiyah, Diriyah, Kingdom of Saudi Arabia.

Urology Department of Iman General Hospital, Riyadh, Saudi Arabia.

出版信息

J Pharm Bioallied Sci. 2024 Dec;16(Suppl 4):S3712-S3714. doi: 10.4103/jpbs.jpbs_1083_24. Epub 2024 Dec 5.

Abstract

BACKGROUND

Prostate cancer is one of the most prevalent cancers among men worldwide. The identification of genetic markers that contribute to the risk of prostate cancer can significantly enhance early diagnosis and personalized treatment strategies. Next-Generation Sequencing (NGS) has emerged as a powerful tool for uncovering genetic variations associated with various cancers, including prostate cancer.

MATERIALS AND METHODS

A cohort of 200 men, consisting 100 diagnosed with prostate cancer and 100 healthy controls, was recruited for this study. DNA samples were extracted from blood and tumor tissues, followed by library preparation and sequencing using an Illumina platform. Bioinformatic analysis was conducted to identify single nucleotide polymorphisms (SNPs), copy number variations (CNVs), and other genetic alterations linked to prostate cancer. Statistical analysis was performed to assess the association between identified genetic markers and prostate cancer risk.

RESULTS

NGS identified a total of 450 genetic variants, with 50 SNPs showing a strong association with prostate cancer risk ( < 0.001). Notably, the BRCA1, BRCA2, and HOXB13 genes exhibited significant variants in 20% of the prostate cancer patients. Furthermore, CNVs in the MYC and PTEN genes were observed in 15% and 10% of the patients, respectively. The control group displayed a significantly lower frequency of these genetic alterations, reinforcing their potential role as risk markers for prostate cancer.

CONCLUSION

This study demonstrates the efficacy of NGS in identifying genetic markers associated with prostate cancer risk.

摘要

背景

前列腺癌是全球男性中最常见的癌症之一。识别与前列腺癌风险相关的遗传标记可显著改善早期诊断和个性化治疗策略。新一代测序(NGS)已成为揭示与包括前列腺癌在内的各种癌症相关的基因变异的有力工具。

材料和方法

本研究招募了一组200名男性,其中100名被诊断为前列腺癌,100名作为健康对照。从血液和肿瘤组织中提取DNA样本,随后使用Illumina平台进行文库制备和测序。进行生物信息学分析以识别单核苷酸多态性(SNP)、拷贝数变异(CNV)以及与前列腺癌相关的其他基因改变。进行统计分析以评估所识别的遗传标记与前列腺癌风险之间的关联。

结果

NGS共识别出450个基因变异,其中50个SNP与前列腺癌风险显示出强关联(<0.001)。值得注意的是,20%的前列腺癌患者中BRCA1、BRCA2和HOXB13基因表现出显著变异。此外,分别在15%和10%的患者中观察到MYC和PTEN基因的CNV。对照组中这些基因改变的频率显著较低,这强化了它们作为前列腺癌风险标记的潜在作用。

结论

本研究证明了NGS在识别与前列腺癌风险相关的遗传标记方面的有效性。

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