Assessment of mismatch repair function in leukaemic cell lines and blasts from children with acute lymphoblastic

Elizabeth C Matheson1, Andrew G Hall

  • 1The LRF Molecular Pharmacology Specialist Programme, Cancer Research Unit, Newcastle upon Tyne, UK.

Carcinogenesis
|January 23, 2003
PubMed

Insights

DNA mismatch repair (MMR) defects are common in acute lymphoblastic leukemia (ALL) cell lines and patient samples, potentially explaining resistance to chemotherapy. Our study identified previously unreported MMR deficiencies in ALL cell lines.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • DNA mismatch repair (MMR) pathway defects are linked to chemotherapy resistance in acute lymphoblastic leukemia (ALL).
  • Understanding MMR status is crucial for optimizing ALL treatment strategies.

Purpose of the Study:

  • To assess MMR status in ALL cell lines and clinical samples.
  • To correlate MMR proficiency with protein expression and proliferative capacity (Ki67).
  • To investigate the prevalence of MMR defects in ALL.

Main Methods:

  • In vitro DNA mismatch repair (MMR) assay on leukaemic cell lines and patient blasts.
  • Protein expression analysis (Western blotting, immunohistochemistry) of MMR components (MLH1, MSH2, PMS2, MSH6).
  • Correlation analysis with Ki67 expression as a proliferation marker.

Main Results:

  • Five of seven lymphoid ALL cell lines exhibited low MMR activity and protein expression.
  • Previously unreported MMR defects were found in NALM-6, Reh, and MOLT 4 cell lines.
  • A significant correlation (r(2) = 0.96, P < 0.0001) was observed between MLH1 and Ki67 expression in patient samples.
  • MMR proficiency was reduced in a patient sample at relapse.

Conclusions:

  • DNA mismatch repair (MMR) defects appear more prevalent in acute lymphoblastic leukemia (ALL) cell lines and patient leukemias than previously recognized.
  • These findings suggest a potential mechanism for chemotherapy resistance in ALL.
  • Further investigation into MMR status could inform personalized treatment approaches for ALL.