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首页> 外文期刊>BMC Cancer >Genetic and immunological biomarkers predict metastatic disease recurrence in stage III colon cancer
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Genetic and immunological biomarkers predict metastatic disease recurrence in stage III colon cancer

机译:遗传和免疫生物标记物可预测III期结肠癌的转移性疾病复发

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Even though the post-operative outcome varies greatly among patients with nodal positive colon cancer (UICC stage III), personalized prediction of systemic disease recurrence is currently insufficient. We investigated in a retrospective setting whether genetic and immunological biomarkers can be applied for stratification of distant metastasis occurrence risk. Eighty four patients with complete resection (R0) of stage III colon cancer from two clinical centres were analysed for genetic biomarkers: microsatellite instability, oncogenic mutations in KRAS exon2 and BRAF exon15, expression of osteopontin and the metastasis-associated genes SASH1 and MACC1. Tumor-infiltrating CD3 and CD8 positive T-cells were quantified by immunocytochemistry. Results were correlated with outcome and response to 5-FU based adjuvant chemotherapy, using Cox’s proportional hazard models and integrative two-step cluster analysis. Distant metastasis risk was significantly correlated with oncogenic KRAS mutations (p?=?0.015), expression of SASH1 (p?=?0.016), and the density of CD8-positive T-cells (p?=?0.007) in Kaplan-Meier analysis. Upon multivariate Cox-regression analysis, KRAS mutation (p?=?0.008) and density of CD8-positive TILs (p?=?0.009) were retained as prognostic parameters for metachronous distant metastasis. Integrative two-step cluster analysis was used to combine all genetic markers, allowing stratification of patient subgroups. Post-operative distant metastasis risk ranged from 31% (low-risk) to 41% (intermediate), and 57% (high-risk) (p?=?0.032). Increased expression of osteopontin (p?=?0.019) and low density of CD8-positive T-cells (p?=?0.043) were significantly associated with unfavourable response to 5-FU. Integrative biomarker analysis allows stratification of stage III colon cancer patients for the risk of metastatic disease recurrence and may indicate response to 5-FU. Thus, biomarker analysis might facilitate the use of adjuvant therapy for high risk patients.
机译:即使淋巴结阳性结肠癌患者(UICC III期)的术后结果差异很大,目前仍无法对系统性疾病复发进行个性化预测。我们在回顾性研究中调查了遗传和免疫生物标记物是否可用于远处转移发生风险的分层。分析了来自两个临床中心的III期结肠癌完全切除(R0)的84例患者的遗传生物标记:微卫星不稳定性,KRAS外显子2和BRAF外显子15的致癌突变,骨桥蛋白的表达以及与转移相关的基因SASH1和MACC1。通过免疫细胞化学对肿瘤浸润的CD3和CD8阳性T细胞进行定量。使用Cox的比例风险模型和综合两步聚类分析,结果与基于5-FU的辅助化疗的结果和反应相关。远处转移风险与致癌性KRAS突变(p?=?0.015),SASH1表达(p?=?0.016)和CD8阳性T细胞密度(p?=?0.007)显着相关。分析。经多变量Cox回归分析,保留KRAS突变(p≤0.008)和CD8阳性TILs的密度(p≤0.009)作为异时远处转移的预后参数。整合的两步聚类分析用于组合所有遗传标记,可对患者亚组进行分层。术后远处转移的风险范围为31%(低风险)至41%(中度)和57%(高风险)(p?=?0.032)。骨桥蛋白的表达增加(p≥0.019)和CD8阳性T细胞密度低(p = 0.043)与对5-FU的不良反应显着相关。整合的生物标志物分析可对III期结肠癌患者进行转移性疾病复发风险的分层,并可能表明对5-FU有反应。因此,生物标志物分析可能有助于对高危患者进行辅助治疗。

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