Abstract 592P
Background
Mesenchymal–epithelial transition factor (MET) exon 14 (METex14) skipping is an established primary oncogenic driver in non-small cell lung cancer (NSCLC). Specific inhibition of METex14 skipping by targeted therapy can achieve durable responses. As targeted therapies are gradually becoming available to patients with METex14 skipping NSCLC in China, this study aims to assess the emerging characteristics, treatment patterns, and clinical outcomes in these patients.
Methods
This non-interventional study retrospectively reviewed existing medical records. The National Anti-Tumor Drug Surveillance System (NATDSS), a nationwide cancer database, was used to identify patients diagnosed with advanced NSCLC harboring METex14 skipping alterations between 2013 and 2021. Descriptive statistics were used to summarize patient characteristics and treatment patterns. Kaplan–Meier analyses were employed to describe overall survival (OS).
Results
A total of 297 patients were included in the study. The median age was 67 years (range: 61–72 years) and 154 patients (51.9%) were male. Adenocarcinoma (226 [76.1%]) was the most frequent histology documented. Of note, 16 (5.4%) had sarcomatoid carcinoma. At diagnosis, 44 patients (14.8%) had Stage IIIB–C and 253 patients (85.2%) had Stage IV disease, among which 48 patients (16.2%) had brain metastases. Among 236 (79.5%) patients who received systemic treatment after the diagnosis of advanced NSCLC, the most frequent first-line therapies were chemotherapy (97 [32.7%]), followed by MET inhibitors (81 [27.3%]) and chemotherapy plus immune checkpoint inhibitor (16 [5.4%]). Median OS was 16.1 months (95% CI: 13.7, 18.7) from start of first-line therapy for the entire cohort, and 8.9 months (5.7–NE) for patients with sarcomatoid carcinoma.
Conclusions
METex14 skipping alterations typically occur in elderly patients and in adenocarcinomas in the Chinese population. Treatment patterns were heterogeneous, with a large proportion of patients receiving chemotherapy with or without MET inhibitors, reflecting the evolving treatment landscape in China.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Merck Healthcare KGaA, Darmstadt, Germany.
Funding
Merck (CrossRef Funder ID: 10.13039/100009945).
Disclosure
C. Chen, Y. Zhang: Financial Interests, Personal, Full or part-time Employment: Merck Serono Co., Ltd., Beijing, China, an affiliate of Merck KGaA. H. Vioix: Financial Interests, Personal, Full or part-time Employment: Merck. All other authors have declared no conflicts of interest.
Resources from the same session
5P - Clinicopathologic features and genomic profiling of occult breast cancer
Presenter: Liansha Tang
Session: Poster Display
Resources:
Abstract
6P - Tumor cell-released autophagosomes (TRAPs) promote lung metastasis through inducing PD-L1 high expression of pulmonary vascular endothelial cells (PVECs) in breast cancer
Presenter: Xuru Wang
Session: Poster Display
Resources:
Abstract
7P - Tumor cell-released autophagosomes (TRAPs) promote breast cancer lung metastasis by modulating neutrophil extracellular traps formation
Presenter: Xiaohe Zhou
Session: Poster Display
Resources:
Abstract
9P - Clinicopathological features and prognosis of mucinous breast cancer: A retrospective analysis of 358 patients in Vietnam
Presenter: Hoai Hoang
Session: Poster Display
Resources:
Abstract
10P - Comparison of 28-gene and 70-gene panel in risk-prediction of Chinese women with early-stage HR-positive and HER2-negative breast cancer
Presenter: Lei Lei
Session: Poster Display
Resources:
Abstract
11P - Multimodal analysis of methylation and fragmentomic profiles in plasma cell-free DNA for differentiation of benign and malignant breast tumors
Presenter: Hanh Nguyen
Session: Poster Display
Resources:
Abstract
12P - Plasma cell-free mRNA profiles enable early detection of breast cancer
Presenter: Chi Nguyen
Session: Poster Display
Resources:
Abstract
13P - Relationship of distress and quality of life with gut microbiome composition in newly diagnosed breast cancer patients: A prospective, observational study
Presenter: Chi-Chan Lee
Session: Poster Display
Resources:
Abstract
14P - Classification of molecular subtypes of breast cancer in whole-slide histopathological images using a novel deep learning algorithm
Presenter: Hyung Suk Kim
Session: Poster Display
Resources:
Abstract
15P - The regulation of pregnenolone in breast cancer
Presenter: Hyeon-Gu Kang
Session: Poster Display
Resources:
Abstract