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Exploration and validation of radiomics signature as an independent prognostic biomarker in stage III-IVb nasopharyngeal carcinoma

机译:放射学签名作为III-IVb期鼻咽癌独立预后生物标志物的探索和验证

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摘要

There is no consensus on specific prognostic biomarkers potentially improving survival of nasopharyngeal carcinoma (NPC), especially in advanced-stage disease. The prognostic value of MRI-based radiomics signature is unclear. A total of 970 quantitative features were extracted from the tumor of 100 untreated NPC patients (stage III-IVb) (discovery set: n = 70, validation set: n = 30). We then applied least absolute shrinkage and selection operator (lasso) regression to select features that were most associated with progression-free survival (PFS). Candidate prognostic biomarkers included age, gender, overall stage, hemoglobin, platelet counts and radiomics signature. We developed model 1 (without radiomics signature) and model 2 (with radiomics signature) in the discovery set and then tested in the validation set. Multivariable Cox regression analysis was used to yield hazard ratio (HR) of each potential biomarker. We found the radiomics signature stratified patients in the discovery set into a low or high risk group for PFS (HR = 5.14, p < 0.001) and was successfully validated for patients in the validation set (HR = 7.28, p = 0.015). However, the other risk factors showed no significantly prognostic value (all p-values for HR, > 0.05). Accordingly, pretreatment MRI-based radiomics signature is a non-invasive and cost-effective prognostic biomarker in advanced NPC patients, which would improve decision-support in cancer care.
机译:对于特定的预后生物标志物尚无共识,这些标志物可能会改善鼻咽癌(NPC)的存活率,尤其是在晚期疾病中。基于MRI的放射学特征的预后价值尚不清楚。从100例未经治疗的NPC患者(III-IVb期)的肿瘤中共提取了970个定量特征(发现组:n = 70,验证组:n = 30)。然后,我们应用最小绝对收缩和选择算子(lasso)回归来选择与无进展生存期(PFS)最相关的特征。候选的预后生物标志物包括年龄,性别,总体阶段,血红蛋白,血小板计数和放射学特征。我们在发现集中开发了模型1(无放射学签名)和模型2(有放射学签名),然后在验证集中进行了测试。使用多变量Cox回归分析得出每种潜在生物标记物的危险比(HR)。我们在发现组中发现了放射性标记物分层的患者,分为PFS的低风险或高风险组(HR = 5.14,p <0.001),并已在验证集中成功验证了患者(HR = 7.28,p = 0.015)。但是,其他危险因素没有显示出明显的预后价值(HR的所有p值,> 0.05)。因此,基于MRI的放射治疗前签名是晚期NPC患者的一种非侵入性且具有成本效益的预后生物标志物,这将改善癌症护理的决策支持。

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