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

被引:0
|
作者
Shi, Yue [1 ]
Jiang, Yingying [2 ]
Pan, Banzhou [1 ]
Wang, Zihan [3 ,10 ]
Li, Hang [4 ]
Ma, Yuxin [1 ]
Liu, Yilin [2 ]
He, Kang [1 ]
Wang, Zhitong [5 ]
Lu, Jianwei [1 ]
Shi, Meiqi [1 ]
Shen, Bo [1 ]
Zhou, Guoren [1 ]
Yin, Rong [6 ]
Rossi, Antonio [7 ]
Ito, Kentaro [8 ]
Santarpia, Mariacarmela [9 ]
Um, Sang-Won [1 ]
Wang, Xiaohua [1 ]
Chen, Cheng [2 ]
Feng, Jifeng [1 ]
机构
[1] Nanjing Med Univ, Jiangsu Canc Hosp, Jiangsu Inst Canc Res, Dept Oncol,Affiliated Canc Hosp, Nanjing, Peoples R China
[2] Nanjing Med Univ, Jiangsu Canc Hosp, Jiangsu Inst Canc Res, Dept Radiotherapy,Affiliated Canc Hosp, Nanjing, Peoples R China
[3] Nantong Univ, Sch Life Sci, Nantong, Peoples R China
[4] Yale Sch Publ Hlth, Dept Chron Dis Epidmiol, New Haven, CT USA
[5] Nanjing Med Univ, Dept Radiotherapy, Nanjing, Peoples R China
[6] Jiangsu Canc Hosp, Jiangsu Inst Canc Res, Dept Thorac Surg, Nanjing, Peoples R China
[7] IQVIA, Oncol Ctr Excellence, Therapeut Sci & Strategy Unit, Milan, Italy
[8] Matsusaka Municipal Hosp Resp Ctr, Dept Resp Med, Matsusaka, Japan
[9] Univ Messina, Dept Human Pathol G Barresi, Med Oncol Unit, Messina, Italy
[10] Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Pulm & Crit Care Med,Dept Med, Seoul, South Korea
基金
中国国家自然科学基金;
关键词
Osimertinib; epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI); targeted therapy; non-small cell lung cancer (NSCLC); progression models; TYROSINE KINASE INHIBITORS; SUBSEQUENT MANAGEMENT; RESISTANCE; MUTATION; FAILURE; AZD9291; TRASTUZUMAB; MECHANISMS; METASTASES; SURVIVAL;
D O I
10.21037/tlcr-22-315
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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, t-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 (Tm-e). 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 Tm-e 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.
引用
收藏
页码:817 / 831
页数:15
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