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Exosomal miRNA Analysis in Non-small Cell Lung Cancer NSCLC Patients' Plasma Through qPCR: A Feasible Liquid Biopsy Tool
Published on: May 27, 2016
Integrating Liquid Biopsy and Radiomics to Monitor Clonal Heterogeneity of EGFR-Positive Non-Small Cell Lung Cancer
Federico Cucchiara1, Marzia Del Re1, Simona Valleggi2
1Clinical Pharmacology and Pharmacogenetics Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Background:
EGFR-positive Non-small Cell Lung Cancer (NSCLC) is a dynamic entity and tumor progression and resistance to tyrosine kinase inhibitors (TKIs) arise from the accumulation, over time and across different disease sites, of subclonal genetic mutations. For instance, the occurrence of EGFR T790M is associated with resistance to gefitinib, erlotinib, and afatinib, while EGFR C797S causes osimertinib to lose activity. Sensitive technologies as radiomics and liquid biopsy have great potential to monitor tumor heterogeneity since they are both minimally invasive, easy to perform, and can be repeated over patient's follow-up, enabling the extraction of valuable information. Yet, to date, there are no reported cases associating liquid biopsy and radiomics during treatment.
Case Presentation:
In this case series, seven patients with metastatic EGFR-positive NSCLC have been monitored during target therapy. Plasma-derived cell free DNA (cfDNA) was analyzed by a digital droplet PCR (ddPCR), while radiomic analyses were performed using the validated LifeX® software on computed tomography (CT)-images. The dynamics of EGFR mutations in cfDNA was compared with that of radiomic features. Then, for each EGFR mutation, a radiomic signature was defines as the sum of the most predictive features, weighted by their corresponding regression coefficients for the least absolute shrinkage and selection operator (LASSO) model. The receiver operating characteristic (ROC) curves were computed to estimate their diagnostic performance. The signatures achieved promising performance on predicting the presence of EGFR mutations (R2 = 0.447, p <0.001 EGFR activating mutations R2 = 0.301, p = 0.003 for T790M; and R2 = 0.354, p = 0.001 for activating plus resistance mutations), confirmed by ROC analysis.
Conclusion:
To our knowledge, these are the first cases to highlight a potentially promising strategy to detect clonal heterogeneity and ultimately identify patients at risk of progression during treatment. Together, radiomics and liquid biopsy could detect the appearance of new mutations and therefore suggest new therapeutic management.
Insights
Liquid biopsy and radiomics can monitor tumor heterogeneity in EGFR-positive Non-small Cell Lung Cancer (NSCLC). This combined approach shows promise in detecting new mutations and predicting progression during targeted therapy.
Area of Science:
- Oncology
- Radiology
- Molecular Diagnostics
Background:
- EGFR-positive Non-small Cell Lung Cancer (NSCLC) is characterized by evolving genetic mutations leading to treatment resistance.
- Tumor heterogeneity and acquired resistance, driven by mutations like EGFR T790M and C797S, complicate targeted therapy.
- Minimally invasive techniques like radiomics and liquid biopsy offer potential for monitoring tumor dynamics.
Purpose of the Study:
- To investigate the combined utility of liquid biopsy and radiomics in monitoring tumor heterogeneity during targeted therapy for EGFR-positive NSCLC.
- To compare the dynamics of EGFR mutations in cell-free DNA (cfDNA) with radiomic features extracted from CT images.
- To develop and validate radiomic signatures for predicting EGFR mutations.
Main Methods:
- A case series of seven metastatic EGFR-positive NSCLC patients undergoing targeted therapy.
- Plasma cfDNA analyzed using digital droplet PCR (ddPCR).
- Radiomic analysis performed using LifeX® software on CT images; radiomic signatures developed using LASSO regression and validated with ROC analysis.
Main Results:
- Radiomic signatures demonstrated promising performance in predicting EGFR mutations, including activating mutations (R² = 0.301, p = 0.003) and activating plus resistance mutations (R² = 0.354, p = 0.001).
- The study established a correlation between cfDNA mutation dynamics and radiomic features.
- The developed signatures showed significant predictive power (R² = 0.447, p <0.001).
Conclusions:
- This study presents the first reported association of liquid biopsy and radiomics during treatment for EGFR-positive NSCLC.
- The combined approach shows potential for detecting clonal heterogeneity and identifying patients at risk of progression.
- Radiomics and liquid biopsy may guide therapeutic management by detecting new mutations during treatment.
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