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.

Journal of Cancer
|October 22, 2019
PubMed

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.