Hao Xuefeng, Li Weiying, Li Wei, Gu Meng, Wang Ziyu, Nakahashi Kenta, Antonoff Mara B, Adachi Hiroyuki, Zhou Shijie, Xu Shaofa
Department of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Department of Thoracic Surgery, Yamagata Prefectural Central Hospital, Yamagata, Japan.
Transl Lung Cancer Res. 2022 Jun;11(6):1079-1088. doi: 10.21037/tlcr-22-207.
Although a well-acknowledged component of curative surgery for lung cancer, investigators have recently questioned the need for mediastinal lymph node dissection (MLND) in early-stage lung cancer cases. As such, the accurate prediction of N2 stage prior to surgery has become increasingly critical. But diagnostic biomarkers predicting N2 metastases are deficient, which are urgently needed.
We extracted the data of non-small cell lung cancer (NSCLC) patients whose clinical information and follow-up data are complete and without preoperative induction therapy from the Surveillance, Epidemiology, and End Results (SEER) database. The SEER program registries routinely collect demographic and clinic data on patients. And the prognostic differences were analyzed according to the presence or absence of MLND in their lung resection using the R package. Subsequently, the correlations between pN2 metastasis and clinical characteristics were analyzed. In parallel, the long non-coding RNAs (lncRNAs) associated with pN2 status were screened in The Cancer Genome Atlas (TCGA) database by expression difference analysis between pN0-N1 and pN2 patients using limma. Their diagnostic efficiency for detecting N2 metastases was evaluated using receiver operating characteristic (ROC) curves, and a combined diagnostic model was constructed using logistic regression and ROC curve analyses in lung adenocarcinoma (LUAD).
There were 16,772 patients in MLND group, and 2,699 cases in no-MLND group. The clinical data from SEER showed that the incidence of N2 metastasis was low in pT1 NSCLC (1,023/16,772, 6.10%), but the prognosis of no-MLND patients was poorer than those who underwent MLND (P<0.001, HR =1.605). Pathological N2 metastasis was correlated with age, histologic type, and tumor size. On the other hand, five lncRNAs (LINC00892, AC099522.2, LINC01481, SCAMP1-AS1, and AC004812.2) were screened and confirmed as potential diagnostic biomarkers for detecting N2 metastasis in pT1 LUAD. The AUC of the combined indicators was 0.857.
MLND may be oncologically necessary for selected T1 NSCLC patients based on the metastasis incidence and prognosis. A diagnostic model combining LINC00892, AC099522.2, LINC01481, SCAMP1-AS1, and AC004812.2 expression levels may have the potential to be a diagnostic biomarker for detecting N2 metastasis in pT1 LUAD. This study suggests that MLND might be omitted in patients with lower expression level of this diagnostic model.
尽管纵隔淋巴结清扫术(MLND)是肺癌根治性手术中一个公认的组成部分,但最近研究人员对早期肺癌病例中进行MLND的必要性提出了质疑。因此,术前准确预测N2期变得越来越关键。但目前预测N2转移的诊断生物标志物不足,急需此类标志物。
我们从监测、流行病学和最终结果(SEER)数据库中提取了临床信息和随访数据完整且未接受术前诱导治疗的非小细胞肺癌(NSCLC)患者的数据。SEER项目登记处定期收集患者的人口统计学和临床数据。使用R软件包根据肺切除术中是否进行MLND分析预后差异。随后,分析pN2转移与临床特征之间的相关性。同时,通过使用limma软件对pN0-N1和pN2患者进行表达差异分析,在癌症基因组图谱(TCGA)数据库中筛选与pN2状态相关的长链非编码RNA(lncRNA)。使用受试者工作特征(ROC)曲线评估它们检测N2转移的诊断效率,并在肺腺癌(LUAD)中通过逻辑回归和ROC曲线分析构建联合诊断模型。
MLND组有16772例患者,非MLND组有2699例。SEER的临床数据显示,pT1期NSCLC中N2转移的发生率较低(1023/16772,6.10%),但未进行MLND的患者预后比接受MLND的患者差(P<0.001,HR =1.605)。病理N2转移与年龄、组织学类型和肿瘤大小相关。另一方面,筛选出五个lncRNA(LINC00892、AC099522.2、LINC01481、SCAMP1-AS1和AC004812.2)并确认为检测pT1期LUAD中N2转移的潜在诊断生物标志物。联合指标的AUC为0.857。
基于转移发生率和预后,对于部分T1期NSCLC患者,MLND在肿瘤学上可能是必要的。结合LINC00892、AC099522.2、LINC01481、SCAMP1-AS1和AC004812.2表达水平的诊断模型可能有潜力成为检测pT1期LUAD中N2转移的诊断生物标志物。本研究表明,对于该诊断模型表达水平较低的患者,可能无需进行MLND。