Tumor clonal status predicts clinical outcomes of lung adenocarcinoma with EGFR-TKI sensitizing mutation
Eun Young Kim1, Sang Hoon Lee1, Arum Kim1
1Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Abstract:
Objectives: Intratumoral heterogeneity is one of major causes of resistance to therapeutic. Here, we evaluated clonal status, which may reflect intratumoral heterogeneity, in lung adenocarcinoma with EGFR-TKI sensitizing mutation (mEGFR) and its clinical implications. Materials and Methods: Customized panel comprised of 71 solid tumor-associated genes were applied to the 77 surgically resected lung adenocarcinoma having mEGFR with curative aim. For comparison, whole exome sequencing (WES) data of 45 TCGA-LUAD with mEGFR were extracted from the GDC dataportal. Clonal status was estimated from the allele frequency of the mutated genes using the Maftools package. Results: In the study cohort, the number of mutations per case detected by customized panel was 5 [4-8], and the number of total mutations or subtypes of mutations was not related clinical parameters, including size of tumor and pStage. The number of subclones showed positive correlation with the maximum diameter of primary tumor (Spearman's rho=0.273, P-value = 0.026). Disease-free survival (DFS) was significantly shorter among cases wherein tumors comprised two or more subclones than the cases in which tumors were comprised of one clone (P-value = 0.006, Log-rank test), and multivariate analysis indicated that the number of subclones was an independent determinant of DFS. In the WES of TCGA-LUAD mEGFR, the characteristics of the mutations did not show significant relationship with clinical parameters whereas the cases with clones with two or more showed poorer overall survival than those with one clone (P-value = 0.038, Log-rank test). Conclusions: Number of subclones comprising the primary lesion was positively correlated with tumor size, and was an independent factor affecting clinical outcome, showing that a description of tumor clonality may be helpful for understanding of disease status.
Insights
Tumor clonal status, reflecting intratumoral heterogeneity, impacts lung adenocarcinoma outcomes. More subclones correlate with larger tumors and shorter disease-free survival in EGFR-TKI-mutated patients.
Area of Science:
- Oncology
- Genetics
- Cancer Research
Background:
- Intratumoral heterogeneity is a key driver of therapeutic resistance in cancer.
- Clonal status can serve as a proxy for intratumoral heterogeneity.
- Understanding clonal dynamics is crucial for predicting treatment response in lung adenocarcinoma.
Purpose of the Study:
- To evaluate the clonal status in lung adenocarcinoma with EGFR-TKI sensitizing mutations (mEGFR).
- To investigate the clinical implications of tumor clonal status, including its relationship with tumor size and patient survival.
- To determine if clonal status is an independent prognostic factor for disease-free survival (DFS).
Main Methods:
- Applied a customized panel of 71 solid tumor-associated genes to 77 surgically resected lung adenocarcinomas with mEGFR.
- Utilized whole exome sequencing (WES) data from TCGA-LUAD cohort (45 patients) with mEGFR for comparison.
- Estimated clonal status by analyzing allele frequencies of mutated genes using the Maftools package.
Main Results:
- The number of subclones positively correlated with the maximum tumor diameter (Spearman's rho=0.273, P=0.026).
- Tumors with two or more subclones showed significantly shorter DFS compared to those with a single clone (P=0.006).
- Multivariate analysis identified the number of subclones as an independent determinant of DFS; similar findings were observed in TCGA-LUAD cohort regarding overall survival.
Conclusions:
- The number of subclones in primary lung adenocarcinoma lesions correlates with tumor size.
- Tumor clonality is an independent prognostic factor influencing clinical outcomes, particularly disease-free survival.
- Assessing tumor clonality can enhance the understanding of disease status and aid in predicting patient prognosis.
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