Minimal residual disease detection in lymphoma: methods, procedures and clinical significance

Front Immunol. 2024 Aug 12:15:1430070. doi: 10.3389/fimmu.2024.1430070. eCollection 2024.

Abstract

Lymphoma is a highly heterogeneous lymphohematopoietic tumor. As our understanding of the biological and pathological characteristics of lymphoma improves, we are identifying an increasing number of lymphoma subtypes. Genotyping has enhanced our ability to diagnose, treat, and monitor the prognosis of lymphoma. Despite significant improvements in treatment effectiveness, traditional methods for assessing disease response and monitoring prognosis are imperfect, and there is no significant improvement in overall remission rates for lymphoma patients. Minimal Residual Disease (MRD) is often indicative of refractory disease or early relapse. For lymphoma patients, personalized MRD monitoring techniques offer an efficient means to estimate disease remission levels, predict early relapse risk, and assess the effectiveness of new drug regimens. In this review, we delve into the MRD procedures in lymphoma, including sample selection and requirements, detection methods and their limitations and advantages, result interpretation. Besides, we also introduce the clinical applications of MRD detection in lymphoma.

Keywords: circulating tumor DNA; liquid biopsy; lymphoma; minimal residual disease; minimal residual disease monitoring.

Publication types

  • Review

MeSH terms

  • Biomarkers, Tumor
  • Clinical Relevance
  • Humans
  • Lymphoma* / diagnosis
  • Neoplasm, Residual* / diagnosis
  • Prognosis

Substances

  • Biomarkers, Tumor

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This paper was supported by the National Natural Science Foundation of China (Grant No.82070210), the Major Medical Scientific and Technological Project of Henan Province (Grant No. SBGJ202001008) and the Outstanding Youth Item of Henan Health-related Technological and Innovative Talents Project (Grant No.11459).