Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 06

1383P - Distribution of actionable genetic variants in different sample types of Chinese NSCLC: A large real-world data based study

Date

14 Sep 2024

Session

Poster session 06

Topics

Targeted Therapy;  Statistics

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Dongmei Lin

Citation

Annals of Oncology (2024) 35 (suppl_2): S802-S877. 10.1016/annonc/annonc1602

Authors

C. Wu1, Q. Feng2, W. wu1, Y. Wang3, Z. Dong1, S. Lian2

Author affiliations

  • 1 Department Of Pathology, Shanghai Pulmonary Hospital, Cancer Institute, Tongji University School of Medicine, 200433 - Shanghai/CN
  • 2 Department Of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, 100142 - Beijing/CN
  • 3 Department Of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, 100021 - Beijing/CN

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 1383P

Background

Around 60% of NSCLC patients in China have actionable genetic variants, with detection rates influenced by various factors such as diagnostic methods, sample types, and disease stage. Yet, a comparative study on mutation frequency across sample types in Chinese NSCLC patients is lacking.

Methods

We conducted a retrospective analysis of 5,183 NSCLC patients tested for actionable targets at the Beijing Cancer Hospital and Shanghai Pulmonary Hospital between 2018 and 2023. This cohort included 5,051 patients with lung adenocarcinoma (LUAD) and 132 patients with lung squamous cell carcinoma (LUSC). For LUAD, the samples comprised 3,130 surgical resections, 1,633 biopsies, and 288 pleural effusions. In LUSC, 30 surgical resections and 102 biopsies were analyzed. All samples underwent PCR testing (Amoydx, Xiamen) for nine actionable targets (EGFR, ALK, MET EX14, BRAF, HER2, ROS1, HER2, RET, KRAS).

Results

The positivity rates for each actionable target in adenocarcinoma are presented in the table. EGFR mutations were significantly higher in surgical samples compared to biopsy and pleural effusion samples (p<0.05). ALK fusions had a higher positivity rate in pleural effusion samples compared to biopsy and surgical samples (p<0.05). KRAS mutations were significantly more frequent in biopsy samples compared to surgical and pleural effusion samples (p<0.05). The mutation frequencies of the other eight gene variants besides EGFR in pleural effusion, biopsy, and surgical samples were 20.38%, 23.64%, and 21.88% respectively, with no significant differences observed. Additionally, 12% of the squamous cell carcinoma patients harbored actionable targets (Table).

Conclusions

Overall, 79.17%-86.81% of patients with LUAD carry actionable variations, and notably, there are still 10%-12.7% of patients with LUSC who carry actionable variations. EGFR mutations are more common in surgical samples, possibly due to early-stage disease detection. Table: 1383P

LUAD N=5051 LUSC N=132
Pleural effusion (%)N=288 Biopsy (%)N=1633 Surgical (%)N=3130 Biopsy (%)N=30 Surgical (%)N=102
EGFR 57.29 56.77 66.42 3.33 4.90
KRAS 4.17 10.10 7.92 0.00 1.96
BRAF 2.08 1.29 1.09 3.33 0.00
ALK 7.64 5.45 3.64 0.00 0.98
ROS1 1.04 1.90 1.31 0.00 2.94
MET 1.04 1.29 1.95 0.00 0.00
HER2 3.13 2.57 2.46 0.00 0.00
NRAS 0.00 0.18 0.06 3.33 0.98
RET 2.78 0.86 1.95 0.00 0.98

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.