Dynamically monitoring minimal residual disease using circulating tumour cells to predict the recurrence of early-stage lung adenocarcinoma

Abstract

Lung adenocarcinoma (LUAD) is one of the leading causes of cancer-related deaths worldwide, with a 5-year survival rate of approximately 19%. With the advent of screening and diagnostic techniques such as low-dose spiral CT and liquid biopsy, the detection rate of early stage LUAD is increasing. Even in stage I LUAD, the cumulative 5-year recurrence rate after radical surgical resection is 17.9%. This may be related to the presence of microscopic residual disease (MRD), a potential source of recurrence and metastasis. Circulating tumour cells (CTCs) are key biomarkers in liquid biopsies, but the ability of dynamic CTC detection to monitor MRD and warn of recurrence in patients with early LUAD has not been validated. Here, we conducted a prospective study using the telomerase reverse transcriptase-based CTC detection method (TBCD) to evaluate perioperative and follow-up CTC levels for dynamic monitoring to evaluate its clinical efficacy in predicting postoperative recurrence in early-stage LUAD. By longitudinal dynamic monitoring of CTC, we accurately predicted recurrence within 2 years after surgery, with an AUC of 0.9786, demonstrating the clinical values of CTC in predicting recurrence. The median lead time from positive detection of CTC to radiological recurrence was 183 days, with the earliest CT recurrence predicted 354 days in advance. Taken together, our study demonstrates that longitudinal monitoring of CTC is effective in early warning of LUAD recurrence and provides valuable information on early detection and intervention strategies for the management of LUAD.