Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium; Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Leuven, Belgium.
Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium.
Clin Genitourin Cancer. 2019 Oct;17(5):e981-e994. doi: 10.1016/j.clgc.2019.05.009. Epub 2019 May 25.
Recent trials have suggested predictive biomarkers in advanced clear-cell renal cell carcinoma (accRCC): International Metastatic RCC Database Consortium (IMDC) good risk or angiogenic gene signature for sunitinib and IMDC intermediate/poor risk for ipilimumab-nivolumab and T-effector cell signature or sarcomatoid dedifferentiation for atezolizumab-bevacizumab. We hypothesized that earlier described molecular subtypes, ccrcc1 to ccrcc4, could provide similar information as a single generic biomarker and molecularly characterize the heterogeneous intermediate-risk group.
Patients with accRCC treated with systemic therapies were included. We assessed associations between the 5 biomarkers and their impact on progression-free survival (PFS) and response rate (RR) on first-line sunitinib or pazopanib. The cutoff percentage of sarcomatoid dedifferentiation with optimal discriminative value was determined.
In total, 430 patients were included (163 with molecular data). The molecular ccrcc2 subtype identified tumors with higher angiogenic gene expression across IMDC risk groups: prevalence was high in IMDC good risk and low in IMDC poor risk (P < .001). Molecular subtype, IMDC, and angiogenic gene expression had comparable C-indices to predict PFS and RR (range, 60%-66%). The ccrcc2 subtype and angiogenic gene expression were positive predictors of PFS in IMDC intermediate-risk patients (P = .006; P = .04). Immune signature did not differ between IMDC groups, but was strongly correlated with molecular subtype (P = .8 and P = .0007). A cutoff value of 25% sarcomatoid differentiation discriminated tumors with distinct molecular characteristics and therapeutic sensitivity.
In accRCC, molecular subtypes can explain differences in IMDC risk group, expression of angiogenesis and immune response genes, and sarcomatoid dedifferentiation. They can identify molecularly different patient populations within the heterogeneous IMDC intermediate group and select patients for systemic therapies.
最近的试验表明,晚期透明细胞肾细胞癌(accRCC)存在预测生物标志物:国际转移性肾细胞癌数据库联盟(IMDC)良好风险或血管生成基因特征提示舒尼替尼获益,IMDC 中/差风险提示伊匹单抗联合纳武单抗获益,T 效应细胞特征或肉瘤样去分化提示阿替利珠单抗联合贝伐珠单抗获益。我们假设,先前描述的分子亚型 ccrcc1 至 ccrcc4 可以提供与单一通用生物标志物相似的信息,并对异质性中间风险组进行分子特征分析。
纳入接受系统治疗的 accRCC 患者。我们评估了 5 种生物标志物与无进展生存期(PFS)和一线舒尼替尼或帕唑帕尼的缓解率(RR)之间的相关性。确定具有最佳区分价值的肉瘤样去分化的最佳截断百分比。
共纳入 430 例患者(163 例有分子数据)。分子 ccrcc2 亚型确定了血管生成基因在 IMDC 风险组中表达较高的肿瘤:在 IMDC 良好风险中发生率较高,在 IMDC 差风险中发生率较低(P<0.001)。分子亚型、IMDC 和血管生成基因表达对预测 PFS 和 RR 的 C 指数具有可比性(范围 60%-66%)。ccrcc2 亚型和血管生成基因表达是 IMDC 中间风险患者 PFS 的阳性预测因子(P=0.006;P=0.04)。免疫特征在 IMDC 组之间没有差异,但与分子亚型呈强相关(P=0.8 和 P=0.0007)。肉瘤样分化 25%的截断值可区分具有不同分子特征和治疗敏感性的肿瘤。
在 accRCC 中,分子亚型可以解释 IMDC 风险组、血管生成和免疫反应基因表达以及肉瘤样去分化的差异。它们可以确定 IMDC 中间组中具有不同分子特征的患者群体,并选择接受系统治疗的患者。