生殖系遗传评分与多种癌症类型的癌症基因表达和免疫反应相关。

IF 5.4 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Soojin Cha, Injeong Shim, Sang-Hyuk Jung, Beomsu Kim, Soyeon Kim, Mi-So Park, Hyunbin Cho, Yonghyun Nam, Woong-Yang Park, Dokyoon Kim, Hong-Hee Won
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引用次数: 0

摘要

背景:癌症是一种多基因疾病,涉及多种生物事件的失调,包括异常的细胞增殖和逃避免疫反应,这些事件共同促进了癌症的发生和进展。尽管多基因风险评分(PRS)已经能够评估癌症风险位点的影响,但其他与癌症生物学功能相关的遗传变异的潜在影响在很大程度上仍未被探索。方法:我们对英国生物银行数据进行了大规模分析,包括16种癌症类型的61249例癌症病例和254203例欧洲血统对照。我们通过构建遗传评分(eQS: eqtl特异性遗传评分;IMS:免疫反应特异性遗传评分),并使用多变量logistic回归模型对16种癌症类型中的每一种单独检查这些评分的效用,以及癌症特异性prs。结果:我们发现经Bonferroni校正后,有7个相关性显著(乳腺癌中MAP3K1和IDH2的eQS,宫颈癌中PAX8的eQS,甲状腺癌中NRG1的eQS,肺癌中的IMS26,前列腺癌中的IMS16,睾丸癌中的IMS8)。干扰素反应和效应T细胞的IMS显示与肺癌、前列腺癌和睾丸癌具有保护作用。将这些IMS与癌症PRS相结合可以改善睾丸癌和前列腺癌的风险分层。结论:我们的研究提供了与癌症相关的功能遗传评分的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Germline genetic scores associated with cancer gene expression and immune responses across multiple cancer types.

Background: Cancer is a polygenic disease that involves the dysregulation of multiple biological events, including aberrant cell proliferation and evasion of immune responses, which collectively contribute to cancer development and progression. Although the polygenic risk score (PRS) has enabled assessment of the effects of cancer risk loci, the potential impact of other genetic variants with functional relevance to cancer biology remains largely unexplored.

Methods: We conducted a large-scale analysis of UK Biobank data, including 61,249 cancer cases and 254,203 controls of European ancestry across 16 cancer types. We assessed the impact of germline variants relevant to cancer gene expression and 33 cancer immune responses by constructing genetic scores (eQS: eQTL-specific genetic score; IMS: immune response-specific genetic score) and examining the utility of these scores independently and in addition to cancer-specific PRSs, for each of the 16 cancer types using multivariable logistic regression models.

Results: Here, we show that seven associations are significant after the Bonferroni correction (eQS of MAP3K1 and IDH2 in breast cancer, eQS of PAX8 in cervical cancer, eQS of NRG1 in thyroid cancer, IMS26 in lung cancer, IMS16 in prostate cancer, and IMS8 in testicular cancer). The IMS for interferon responses and effector T cells show protective associations with lung, prostate, and testicular cancers. Combining these IMS with cancer PRS improves risk stratification for testicular and prostate cancers.

Conclusions: Our study provides insights into functional genetic scores associated with cancers.

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