Study on correlation between clinical and CT imaging features and EGFR gene mutation in non-small cell lung cancer
10.3760/cma.j.cn115355-20240829-00410
- VernacularTitle:非小细胞肺癌临床及CT影像特征与EGFR基因突变的相关性研究
- Author:
Yan YANG
1
;
Zhonglin HEI
;
Xingcang TIAN
;
Xuehong BAI
;
Junjie CHEN
;
Ren ZHAO
Author Information
1. 宁夏医科大学总医院放疗科，银川 750001
- Publication Type:Journal Article
- Keywords:
Carcinoma, non-small-cell lung;
Receptor, epidermal growth factor;
Mutation;
Tomography, spiral computed
- From:
Cancer Research and Clinic
2025;37(3):167-171
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the correlation between clinical and CT imaging features and epidermal growth factor receptor (EGFR) gene mutation in patients with non-small cell lung cancer (NSCLC) and screening of mutation prediction indicators.Methods:A retrospective case-control study was conducted. The clinical data of 178 NSCLC patients who were confirmed by pathology and underwent pre-treatment chest-enhanced CT scan and EGFR gene mutation testing in General Hospital of Ningxia Medical University from January 2015 to December 2019 were retrospectively analyzed. Patients were classified into EGFR mutation-positive and mutation-negative groups based on genetic testing results, and the clinical and CT imaging features were compared between the two groups; the multivariate logistic regression model was used to identify the independent influencing factors for EGFR gene mutation in NSCLC patients.Results:Among 178 NSCLC patients, 115 cases (64.6%) were EGFR gene mutation-positive and 63 cases (35.4%) were mutation-negative. Among the 115 EGFR gene mutation-positive patients, there were 61 cases (53.0%) of exon 19 deletion (19del) mutation, 45 cases (39.1%) of exon 21 L858R mutation, 8 cases (7.0%) of exon 20 mutation, and 1 case (0.9%) of exon 18 mutation. The proportions of female patients [60.0% (69/115) vs. 30.2% (19/63)] and patients with out smoking history [74.8% (86/115) vs. 36.5% (23/63)] in EGFR gene mutation-positive group were higher than those in the mutation-negative group, and the differences were statistically significant (both P < 0.001), while the proportions of patients with different pathological types and clinical stages in the two groups showed no statistically significant differences (both P > 0.05). The median maximum diameter of tumor [ M ( Q1, Q3)] detected by CT in the EGFR gene mutation-positive group was 3.70 (2.90, 4.70) cm, while in the mutation-negative group it was 5.30 (3.40, 6.80) cm, and the difference was statistically significant ( Z = -3.66, P < 0.001). The proportions of patients with air bronchogram [27.8% (32/115) vs. 7.9% (5/63)] and without emphysema [83.5% (96/115) vs. 55.6% (35/63)] in the EGFR gene mutation-positive group were higher than those in the mutation-negative group, and the differences were statistically significant (both P < 0.01). The results of multivariate logistic regression analysis showed that no smoking history (yes vs. no, OR = 0.218, 95% CI: 0.073-0.647), short maximum diameter of tumor detected by CT ( OR = 0.814, 95% CI: 0.676-0.981), air bronchogram (yes vs. no, OR = 5.354, 95% CI: 1.782-16.090), and no emphysema (yes vs. no, OR = 0.289, 95% CI: 0.128-0.653) were independent risk factors for EGFR gene mutation in NSCLC patients (all P < 0.05). Conclusions:Clinical and CT imaging features may relate to EGFR gene mutation status in NSCLC patients, and no smoking history, short maximum diameter of tumor detected by CT, air bronchogram and no emphysema may predict EGFR gene mutation.
