Wang Qinchuan, Gregg Justin R, Gu Jian, Ye Yuanqing, Chang David W, Davis John W, Thompson Timothy C, Kim Jeri, Logothetis Christopher J, Wu Xifeng
Departments of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Department of Surgical Oncology, Affiliated Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.
Oncoimmunology. 2018 Oct 29;8(1):e1483303. doi: 10.1080/2162402X.2018.1483303. eCollection 2019.
Determining prostate cancer (PCa) aggressiveness and reclassification are critical events during the treatment of localized disease and for patients undergoing active surveillance (AS). Since T cells play major roles in cancer surveillance and elimination, we aimed to identify genetic biomarkers related to T cell cancer immune response which are predictive of aggressiveness and reclassification risks in localized PCa. The genotypes of 3,586 single nucleotide polymorphisms (SNPs) from T cell cancer immune response pathways were analyzed in 1762 patients with localized disease and 393 who elected AS. The aggressiveness of PCa was defined according to pathological Gleason score (GS) and D'Amico criteria. PCa reclassification was defined according to changes in GS or tumor characteristics during subsequent surveillance biopsies. Functional characterization and analysis of immune phenotypes were also performed. In the localized PCa cohort, seven SNPs were significantly associated with the risk of aggressive disease. In the AS cohort, another eight SNPs were identified as predictors for aggressiveness and reclassification. Rs1687016 of was the most significant predictor of reclassification. Cumulative analysis showed that a genetic score based on the identified SNPs could significantly predict risk of D'Amico high risk disease (= 2.4E-09), GS4 + 3 disease (= 1.3E-04), biochemical recurrence (= 0.01) and reclassification (= 0.01). In addition, the rs34309 variant was associated with functional somatic mutations in the PI3K/PTEN/AKT/MTOR pathway and tumor lymphocyte infiltration. Our study provides plausible evidence that genetic variations in T cell cancer immune response can influence risks of aggressiveness and reclassification in localized PCa, which may lead to additional biological insight into these outcomes. PCa, prostate cancer; AS, active surveillance; GS, Gleason score; PSA, prostate specific antigen; TCGA, The Cancer Genome Atlas; SNP, single nucleotide polymorphisms; UFG, unfavorable genotype.
确定前列腺癌(PCa)的侵袭性和重新分类是局限性疾病治疗期间以及接受主动监测(AS)的患者的关键事件。由于T细胞在癌症监测和消除中起主要作用,我们旨在鉴定与T细胞癌症免疫反应相关的遗传生物标志物,这些标志物可预测局限性PCa的侵袭性和重新分类风险。对1762例局限性疾病患者和393例选择主动监测的患者分析了来自T细胞癌症免疫反应途径的3586个单核苷酸多态性(SNP)的基因型。PCa的侵袭性根据病理Gleason评分(GS)和达米科标准定义。PCa重新分类根据后续监测活检期间GS或肿瘤特征的变化定义。还进行了免疫表型的功能表征和分析。在局限性PCa队列中,7个SNP与侵袭性疾病风险显著相关。在主动监测队列中,另外8个SNP被确定为侵袭性和重新分类的预测因子。 的Rs1687016是重新分类的最显著预测因子。累积分析表明,基于鉴定出的SNP的遗传评分可显著预测达米科高危疾病(=2.4E-09)、GS4 + 3疾病(=1.3E-04)、生化复发(=0.01)和重新分类(=0.01)的风险。此外,rs34309变体与PI3K/PTEN/AKT/MTOR途径中的功能性体细胞突变和肿瘤淋巴细胞浸润相关。我们的研究提供了合理的证据,表明T细胞癌症免疫反应中的基因变异可影响局限性PCa的侵袭性和重新分类风险,这可能会为这些结果带来更多的生物学见解。PCa,前列腺癌;AS,主动监测;GS,Gleason评分;PSA,前列腺特异性抗原;TCGA,癌症基因组图谱;SNP,单核苷酸多态性;UFG,不利基因型。