Respiratory Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan.
Third Department of Internal Medicine, Wakayama Medical University, Wakayama, Japan.
BMJ Open. 2020 Sep 9;10(9):e035615. doi: 10.1136/bmjopen-2019-035615.
To investigate whether smoking duration alone can replace pack-years to predict the risk of oncogenic mutations in non-small cell lung cancer (NSCLC).
A cross-sectional study using the baseline dataset from the Japan Molecular Epidemiology for Lung Cancer Study.
Forty-three medical institutions nationwide in Japan.
From July 2012 to December 2013, 957 patients with newly diagnosed stage I-IIIB NSCLC who underwent surgery were enrolled, and molecular analyses were performed on 876 samples (from 441 ever-smokers and 435 never-smokers).
We calculated the area under the receiver operating characteristic curve (AUC) values using logistic regression to compare between the predictive values of smoking duration and pack-years for mutational frequencies in the v-Ki-ras2 Kirsten rat sarcoma (), tumour suppressor p53 (), and epidermal growth factor receptor () genes and for cytosine-to-adenine base substitution (C>A).
For predicting mutations, the AUC values for smoking duration and pack-years were 0.746 (95% CI 0.682 to 0.800) and 0.759 (95% CI 0.700 to 0.810), respectively (p=0.058). For predicting mutations in smokers, the AUC values for smoking duration and pack-years were 0.772 (95% CI 0.697 to 0.833) and 0.787 (95% CI 0.714 to 0.845), respectively (p=0.036). There were no significant differences between the AUC values for smoking duration and pack-years in terms of predicting and mutations and C>A. Pack-years was a significantly better predictor of mutations than smoking duration.
Smoking duration was not significantly different from pack-years in predicting the likelihood of smoking-related gene mutations. Given the recall bias in obtaining smoking information, smoking duration alone should be considered for further investigation as a simpler alternative to pack-years.
研究吸烟年限是否可以单独替代吸烟包年数来预测非小细胞肺癌(NSCLC)中的致癌突变风险。
使用日本肺癌分子流行病学研究的基线数据集进行的横断面研究。
日本全国 43 家医疗机构。
从 2012 年 7 月至 2013 年 12 月,共招募了 957 例新诊断为 I 期-IIIB 期 NSCLC 的患者接受手术治疗,并对 876 例样本(来自 441 名曾经吸烟者和 435 名从不吸烟者)进行了分子分析。
我们使用逻辑回归计算受试者工作特征曲线(ROC)下的面积(AUC)值,以比较吸烟年限和吸烟包年数对 v-Ki-ras2 Kirsten 大鼠肉瘤(KRAS)基因、肿瘤抑制基因 p53(TP53)和表皮生长因子受体(EGFR)基因中的突变频率以及胞嘧啶到腺嘌呤碱基取代(C>A)的预测价值。
在预测 KRAS 突变方面,吸烟年限和吸烟包年数的 AUC 值分别为 0.746(95%CI 0.682 至 0.800)和 0.759(95%CI 0.700 至 0.810)(p=0.058)。在预测吸烟者的 TP53 突变方面,吸烟年限和吸烟包年数的 AUC 值分别为 0.772(95%CI 0.697 至 0.833)和 0.787(95%CI 0.714 至 0.845)(p=0.036)。吸烟年限和吸烟包年数在预测 EGFR 突变和 C>A 方面无显著差异。吸烟包年数是预测 KRAS 突变的显著更好指标,而非吸烟年限。
在预测与吸烟相关的基因突变的可能性方面,吸烟年限与吸烟包年数无显著差异。鉴于在获取吸烟信息时存在回忆偏倚,吸烟年限单独应被视为吸烟包年数的更简单替代方法进行进一步研究。