Suppr超能文献

奥希替尼治疗晚期表皮生长因子受体(EGFR)突变型非小细胞肺癌的临床进展模型探索

An exploration of the clinical progression models of osimertinib in the treatment of advanced EGFR-mutant non-small cell lung cancer.

作者信息

Shi Yue, Jiang Yingying, Pan Banzhou, Wang Zihan, Li Hang, Ma Yuxin, Liu Yilin, He Kang, Wang Zhitong, Lu Jianwei, Shi Meiqi, Shen Bo, Zhou Guoren, Yin Rong, Rossi Antonio, Ito Kentaro, Santarpia Mariacarmela, Um Sang-Won, Wang Xiaohua, Chen Cheng, Feng Jifeng

机构信息

Department of Oncology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.

Department of Radiotherapy, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.

出版信息

Transl Lung Cancer Res. 2022 May;11(5):817-831. doi: 10.21037/tlcr-22-315.

Abstract

BACKGROUND

Classifying the progression pattern had been proved to be momentous for predicting efficacy and guiding treatment in the 1st/2nd generation epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), while lack evidence in the 3rd generation EGFR-TKIs. This study aimed to classify tumor progression of osimertinib in EGFR+ advanced non-small cell lung cancer (NSCLC), exploring the characteristics and the clinical significance of each progression pattern.

METHODS

After screening 1,125 lung cancer patients, 168 EGFR T790M+ advanced patients using osimertinib were enrolled and divided into two groups and five clinical progression models according to the time course of the tumor progression. The prognosis and characteristics, such as gender, age, metastases, of each model were analyzed and compared by Kaplan-Meier method, test, and linear regression.

RESULTS

Complete follow-up data were available for 117 of the 168 patients. Progressive disease (PD) occurred in 89 patients at an average onset of 6.59 months since using osimertinib, with 79.78% of patients experiencing enlargement of some preexisting lesions before PD. Among the five progression models, the 'Rapid Enlargement' (10.11%) model, the 'Rapid New Lesion' model (10.11%), the 'Delayed Enlargement' model (29.21%), the 'Delayed New Lesion' model (15.73%), and the 'Non-targeted Enlargement' model (34.83%), the 'Non-targeted Enlargement' model had the worst prognosis, with a median progression-free survival (mPFS) of 7.1 months (P=0.046). The mPFS of other models was similar, with the largest difference in the time interval between the beginning of osimertinib treatment to the first appearance of target lesion enlargement (T). Smoking history (P=0.046) and the location of the initial (P=0.048), enlarged (P=0.003), and progressive lesions (P=0.002) affected the progression models, while gender, age, and treatment lines had no effect. The T was related to the overall disease control time with a correlation coefficient of 0.667 (P=0.000). The appearance of a malignant pleural effusion had an impact on progression.

CONCLUSIONS

We tried to create a classification system for describing the failure of the third-generation EGFR-TKI osimertinib including two groups, subdivided into five progression models based on the time course of tumor lesion changes. The system might be conducive to predict the prognosis and be potential to assist in selecting subsequent treatment strategies.

摘要

背景

在第一代/第二代表皮生长因子受体酪氨酸激酶抑制剂(EGFR-TKIs)中,已证明对进展模式进行分类对于预测疗效和指导治疗具有重要意义,但在第三代EGFR-TKIs中缺乏相关证据。本研究旨在对奥希替尼在EGFR+晚期非小细胞肺癌(NSCLC)中的肿瘤进展进行分类,探索每种进展模式的特征及临床意义。

方法

在筛选了1125例肺癌患者后,纳入168例使用奥希替尼的EGFR T790M+晚期患者,并根据肿瘤进展的时间进程分为两组和五种临床进展模型。采用Kaplan-Meier法、检验和线性回归分析比较各模型的预后及性别、年龄、转移等特征。

结果

168例患者中有117例获得了完整的随访数据。89例患者出现疾病进展(PD),自使用奥希替尼起平均发病时间为6.59个月,79.78%的患者在PD前出现一些原有病灶增大。在五种进展模型中,即“快速增大”(10.11%)模型、“快速出现新病灶”模型(10.11%)、“延迟增大”模型(29.21%)、“延迟出现新病灶”模型(15.73%)和“非靶向增大”模型(34.83%)中,“非靶向增大”模型预后最差,中位无进展生存期(mPFS)为7.1个月(P=0.046)。其他模型的mPFS相似,奥希替尼治疗开始至首次出现靶病灶增大(T)的时间间隔差异最大。吸烟史(P=0.046)以及初始(P=0.048)病灶、增大病灶(P=0.003)和进展病灶(P=0.002)的位置影响进展模式,而性别、年龄和治疗线数则无影响。T与总体疾病控制时间相关,相关系数为0.667(P=0.000)。恶性胸腔积液的出现对进展有影响。

结论

我们试图创建一个分类系统来描述第三代EGFR-TKI奥希替尼的治疗失败情况,该系统包括两组,根据肿瘤病灶变化的时间进程细分为五种进展模型。该系统可能有助于预测预后,并有可能协助选择后续治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8513/9186173/0d72e6bbc5e8/tlcr-11-05-817-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验