Response prediction and risk stratification of patients with rectal cancer after neoadjuvant therapy through an analysis of circulating tumour DNA

• Published in: EBioMedicine 2022-04, Vol.78, p.103945-103945, Article 103945
• Main Authors: Liu, Wenyang, Li, Yifei, Tang, Yuan, Song, Qianqian, Wang, Jingjing, Li, Ning, Chen, Silin, Shi, Jinming, Wang, Shulian, Li, Yexiong, Jiao, Yuchen, Zeng, Yixin, Jin, Jing
• Format: Article
• Language: English
• Subjects: Biomarkers, Tumor - genetics; Cell-Free Nucleic Acids - genetics; Circulating Tumor DNA - genetics; Circulating tumour DNA; Humans; Locally advanced rectal cancer; Minimal residual disease; Neoadjuvant Therapy; Neoplasm, Residual - genetics; Next-generation sequencing; Rectal Neoplasms - diagnosis; Rectal Neoplasms - genetics; Rectal Neoplasms - therapy; Risk Assessment
• ISSN: 2352-3964; 2352-3964
• DOI: 10.1016/j.ebiom.2022.103945

Multiple approaches based on cell-free DNA (cfDNA) have been applied to detect minimal residual disease (MRD) and to predict prognosis or recurrence. However, a comparison of the approaches used in different cohorts and studies is difficult. We aimed to compare multiple approaches for MRD analysis after neoadjuvant therapy (NAT) in patients with locally advanced rectal cancer (LARC). Sixty patients with LARC from a multicentre, phase II/III randomized trial were included, with tissue and blood samples collected. For each cfDNA sample, we profiled MRD using 3 approaches: personalized assay targeting tumour-informed mutations, universal panel of genes frequently mutated in colorectal cancer (CRC), and low depth sequencing for copy number alterations (CNAs). Positive MRD based on post-NAT personalized assay was significantly associated with an increased risk of recurrence (HR = 27.38; log-rank P < 0.0001). MRD analysis based on universal panel (HR = 5.18; log-rank P = 0.00086) and CNAs analysis (HR = 9.24; log-rank P = 0.00017) showed a compromised performance in predicting recurrence. Both the personalized assay and universal panel showed complementary pattern to CNAs analysis in detecting cases with recurrence and the combination of the two types of biomarkers may lead to better performance. The combination of mutation profiling and CNA profiling can improve the detection of MRD, which may help optimize the treatment strategies for patients with LARC. The Beijing Municipal Science & Technology Commission, National Natural Science Foundation of China, and CAMS Innovation Fund for Medical Sciences.