Circulating tumor DNA dynamics to predict cancer recurrence/metastasis in Chinese pathologic stage I lung adenocarcinoma.

Authors

null

Chao Cheng

The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China

Chao Cheng , Weixiong Yang , Na You , Minghan Jia , Sai-Ching Yeung , Man Yu , Yinguang Wang , Xiayu Fu , Zhenguo Liu , Bo Zeng , Qiuxiang Ou , Xue Wu , Yang Shao , Siyu Wang

Organizations

The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, Department of Statistical Science, School of Mathematics and Computational Science & Southern China Research Center of Statistical Science, Sun Yat-sen University, Guangzhou, China, Department of Breast Cancer, Cancer Center, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China, MD Anderson Cancer Center, Houston, TX, Translational Medicine Research Institute, Geneseeq Technology Inc., Toronto, ON, Canada, Nanjing Geneseeq Technology Inc., Nanjing, China, Sun Yat-sen University Cancer Center, Guangzhou, China

Research Funding

Other Foundation
National Natural Science Foundation of China (81572391), National Natural Science Foundation of China (11671409) and the Project for Science and Technology Development of Guangdong Province, China (2017A020215167).

Background: Pathologic(p)stage I lung adenocarcinoma (LUAD) patients exhibit high levels of genetic heterogeneity and the association between the genomic characteristics of (p)stage I LUADs and tumor recurrence remains poorly understood. Circulating tumor DNA (ctDNA) monitoring after resection represents a useful tool to predict response to therapy and tumor recurrence but its application in (p)stage I LUAD patients remains controversial. In addition, it is of great clinical interest to decipher the difference of genetic features between ground-glass opacity (GGO) and solid nodules (non-GGO) subgroups. Methods: Tumor tissues and matched post-operative plasma samples were collected from a total of 86 Chinese (p)stage I LUAD patients who were enrolled in a clinical study (NCT03172156). Comprehensive genomic profiling was performed using capture-based hybrid next generation sequencing by targeting 422 cancer relevant genes. Results:EGFR and TP53 represent commonly mutated genes in this cohort of (p)stage I lung adenocarcinoma, followed by alterations in ALK, PIK3CA, STK11and MYC. For a median follow up period of 21.54 months after surgical resection, we observed that ctDNA positivity significantly correlated with an increased probability of early tumor recurrence or metastasis (P= 0.03, HR = 7.9), and in particular, the EGFR mutation status of ctDNA samples rather than that of primary tumor samples significantly correlated with shorter disease-free survival (DFS). Further comparison between GGO and non-GGO subgroups indicated that the frequency of TP53 mutations in non-GGO was markedly higher than that in GGO (48% vs 20%, P< 0.05). In addition, pathway analysis showed that the epigenetic regulation pathway was more frequently affected in the GGO subgroup, while impaired apoptosis/cell cycle pathway was more enriched in the non-GGO LUADs. Conclusions: Our data show that ctDNA positivity, including the EGFR mutation status, significantly correlated with early relapse or metastasis after surgery, representing a useful tool to predict treatment response and tumor relapse in (p)stage I LUAD patients. Mutated TP53 was more abundant in non-GGO comparing to GGO (p)stage I LUADs that may act as potential oncogenic driver in LUAD development and/or disease progression. Clinical trial information: NCT03172156.

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Abstract Details

Meeting

2020 ASCO Virtual Scientific Program

Session Type

Poster Session

Session Title

Developmental Therapeutics—Molecularly Targeted Agents and Tumor Biology

Track

Developmental Therapeutics—Molecularly Targeted Agents and Tumor Biology

Sub Track

Circulating Biomarkers

Clinical Trial Registration Number

NCT03172156

Citation

J Clin Oncol 38: 2020 (suppl; abstr 3537)

DOI

10.1200/JCO.2020.38.15_suppl.3537

Abstract #

3537

Poster Bd #

267

Abstract Disclosures