Department of Cancer Center, Daping Hospital, Army Medical University, Chongqing, China.
Department of Pathology, Daping Hospital, Army Medical University, Chongqing, China.
Curr Probl Cancer. 2020 Dec;44(6):100593. doi: 10.1016/j.currproblcancer.2020.100593. Epub 2020 May 27.
There is an urgent clinical need to select the patients with resectable gastrointestinal stromal tumors (GISTs) who can benefit from adjuvant treatment after complete resection based on disease recurrence risk stratification. We hypothesized that integrating biomarkers into available risk assessment tools may improve the precision of GIST prognostic predictions.
Candidate genes that may cause GIST progression were identified using the Gene Expression Omnibus dataset GSE20708. Quantitative Real-time was used to confirm the prognostic value of the candidate genes for recurrence-free survival (RFS) in a cohort of 94 patients.
Thirty-seven differentially expressed genes between localized tumors and metastatic primary tumors were found; 14 (37.8%) were upregulated and 23 (62.2%) were downregulated in the latter tumors. Low-density lipoprotein receptor class A domain containing 4 (LDLRAD4) was selected for further prognostic analysis. Although LDLRAD4 mRNA expression was not associated with recurrence risk grades as determined by the revised NIH consensus criteria, multivariate Cox regression analysis showed that LDLRAD4 expression (hazard ratio [HR] = 4.403, 95% confidence interval [CI]: 1.822-10.641, P = 0.001), tumor size (HR = 1.174, 95% CI: 1.027-1.342, P = 0.019) and tumor location (HR = 6.291, 95% CI: 1.128-35.080, P = 0.036) were independent prognostic factors for RFS in patients with resectable GISTs. Moreover, the RFS model constructed by these three factors may effectively predict GIST prognosis within the first 2 postsurgical years.
Our study identifies LDLRAD4 as a suitable prognostic marker for GISTs. The integration of biomarkers into risk assessment tools may improve the precision of GIST prognostic predictions.
目前迫切需要根据疾病复发风险分层,选择可从完全切除术后辅助治疗中获益的可切除胃肠道间质瘤(GIST)患者。我们假设将生物标志物整合到现有的风险评估工具中可能会提高 GIST 预后预测的准确性。
使用基因表达综合数据集 GSE20708 确定可能导致 GIST 进展的候选基因。在 94 例患者的队列中,使用定量实时聚合酶链反应(qRT-PCR)验证候选基因对无复发生存率(RFS)的预后价值。
在局部肿瘤和转移性原发肿瘤之间发现了 37 个差异表达基因;后者肿瘤中 14 个(37.8%)上调,23 个(62.2%)下调。低密度脂蛋白受体 A 结构域包含蛋白 4(LDLRAD4)被选为进一步的预后分析。尽管 LDLRAD4mRNA 表达与修订后的 NIH 共识标准确定的复发风险分级无关,但多变量 Cox 回归分析显示 LDLRAD4 表达(危险比[HR] = 4.403,95%置信区间[CI]:1.822-10.641,P=0.001)、肿瘤大小(HR=1.174,95%CI:1.027-1.342,P=0.019)和肿瘤位置(HR=6.291,95%CI:1.128-35.080,P=0.036)是可切除 GIST 患者 RFS 的独立预后因素。此外,由这三个因素构建的 RFS 模型可以有效地预测 GIST 术后 2 年内的预后。
我们的研究确定 LDLRAD4 是 GIST 的合适预后标志物。将生物标志物整合到风险评估工具中可能会提高 GIST 预后预测的准确性。