Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Department of Hematology-Oncology, National University Cancer Institute, Singapore.
J Clin Pathol. 2021 Feb;74(2):116-122. doi: 10.1136/jclinpath-2020-206754. Epub 2020 Jun 23.
EGFR tyrosine kinase inhibitors (TKIs) are first-line molecularly targeted therapies in patients with advanced non-small cell lung cancer (NSCLC) who carry sensitising mutations, due to its superior survival outcomes compared with conventional chemotherapy regimens. In this study, we sought to identify clinical, immune and biochemical variables with prognostic significance in this patient subgroup and incorporate them into a nomogram-based risk score.
A total of 199 patients with mutation-positive, advanced NSCLC (defined as stage IV at initial diagnosis or incurable disease recurrence) treated with first-line EGFR TKI therapy were retrospectively profiled. Univariable and multivariable survival analyses were conducted, with variables from the multivariable model with the highest Harrell's Concordance (C) Index selected for inclusion in the subsequent survival nomogram. Internal validation and internal calibration of our prognostic nomogram were also performed.
Serum lactate dehydrogenase (LDH) and lung/pleural metastasis were independent predictors of unfavourable overall survival in all three multivariable models. A survival nomogram was generated based on the multivariable model with the highest Harrell's C Index, incorporating the following 11 variables: white cell count, haemoglobin, LDH, neutrophil/lymphocyte ratio, ethnicity (Chinese vs non-Chinese), Karnofsky-Performance Status (score of '90-100' or '70-80' vs '0-60'), Charlson Comorbidity Index (≥3, or 2, or 1 vs 0), neurological symptoms, brain, lung/pleural and adrenal metastases.
We identified serum LDH as an independent predictor of unfavourable clinical outcomes in patients with advanced, mutation-positive NSCLC. We further developed a robust nomogram-based risk score that incorporates clinical, biochemical and immune variables that can provide more targeted prognostication and management in this patient subgroup.
表皮生长因子受体酪氨酸激酶抑制剂(EGFR-TKIs)是携带敏感突变的晚期非小细胞肺癌(NSCLC)患者的一线分子靶向治疗药物,与传统化疗方案相比,其生存获益更高。本研究旨在鉴定该患者亚组中具有预后意义的临床、免疫和生化变量,并将其纳入基于列线图的风险评分中。
回顾性分析了 199 例经一线 EGFR-TKI 治疗的突变阳性、晚期 NSCLC 患者(初诊时定义为 IV 期或不可治愈疾病复发)的临床资料。进行单变量和多变量生存分析,选择多变量模型中 Harrell 一致性(C)指数最高的变量纳入后续生存列线图。还进行了内部验证和内部校准。
血清乳酸脱氢酶(LDH)和肺/胸膜转移是所有三个多变量模型中总生存期不良的独立预测因素。基于 Harrell 一致性(C)指数最高的多变量模型生成了一个生存列线图,纳入了以下 11 个变量:白细胞计数、血红蛋白、LDH、中性粒细胞/淋巴细胞比值、种族(中国人与非中国人)、卡氏功能状态评分(90-100 分或 70-80 分与 0-60 分)、Charlson 合并症指数(≥3 分、2 分或 1 分与 0 分)、神经症状、脑转移、肺/胸膜转移和肾上腺转移。
我们发现血清 LDH 是晚期突变阳性 NSCLC 患者不良临床结局的独立预测因素。我们进一步开发了一种稳健的基于列线图的风险评分,纳入了临床、生化和免疫变量,可以为该患者亚组提供更有针对性的预后和管理。