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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Biomarker-adapted treatment in high-risk large B-cell lymphoma
Sirpa Leppä1,2, Leo Meriranta1,2, Maare Arffman1,2
1Department of Oncology Helsinki University Hospital Comprehensive Cancer Centre Helsinki Finland.
Abstract:
Survival rates for patients with high-risk large B-cell lymphoma (LBCL), particularly those with biological risk factors, remain inadequate. We conducted a biomarker-driven phase II trial involving 123 high-risk patients aged 18-64 with LBCL. Based on their biological risk profiles, patients received either R-CHOEP-14 (without risk factors) or DA-EPOCH-R-based regimens (with risk factors). Biological high-risk factors included C-MYC translocation, C-MYC and BCL2 co-translocation, 17p/TP53 deletion, co-expression of MYC and BCL2, and P53 and/or CD5 immunopositivity. Additionally, we evaluated circulating tumor DNA (ctDNA) kinetics during therapy. Sixty-one patients (50%) were classified into biologically high-risk group. Three-year failure-free survival and overall survival rates for the entire study population were 79% and 88%, respectively. DA-EPOCH-R did not improve survival compared to our previous trial, where patients with the same biological risk factor criteria received R-CHOEP-14-based therapy. High pretreatment ctDNA levels, 17p/TP53 deletion, and TP53 mutations were associated with worse outcomes. In contrast, ctDNA negativity at the end of therapy (EOT) was indicative of a cure and effectively addressed false residual PET positivity. The findings demonstrate promising survival for high-risk LBCL patients, aside from those with TP53 aberrations, high ctDNA levels, and/or EOT ctDNA positivity.
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