Sign in Subscribe
Scientists

Improved Algorithm for Classifying Diffuse Large B-Cell Lymphoma

Strategic Insights

— 1 min read

Researchers at the University of Nebraska have developed a new immunohistochemical algorithm that can accurately classify diffuse large B-cell lymphoma (DLBCL) into its molecular subtypes. The new algorithm, which uses five specific antibodies, has a 93% concordance rate with gene expression profiling (GEP) classification, outperforming the previous algorithm developed by Hans and coworkers. The study validates the algorithm's accuracy in a separate set of 63 DLBCL cases treated with rituximab plus CHOP, showing a significant difference in 3-year overall survival between the germinal center B-cell-like (GCB) and activated B-cell-like (ABC) subtypes.

Key Takeaways:

  • The new algorithm uses five specific antibodies: GCET1, CD10, BCL6, MUM1, and FOXP1, which closely approximate the GEP classification with 93% concordance.
  • The algorithm is robust within the range of observer variance, as indicated by perturbation analysis.
  • The new algorithm predicts a significant difference in 3-year overall survival between GCB and ABC subtypes: 87% vs. 44% (P < 0.01).
  • The study validates the algorithm's accuracy in a separate set of 63 DLBCL cases treated with rituximab plus CHOP.
  • The algorithm is expected to facilitate risk stratification of DLBCL patients and future DLBCL research using archival materials.
  • The study's results have the potential to improve the treatment and outcome of DLBCL patients.

Statistics:

  • 93% concordance rate between the new algorithm and GEP classification.
  • 87% 3-year overall survival rate for GCB subtype.
  • 44% 3-year overall survival rate for ABC subtype (P < 0.01).
  • 63 DLBCL cases treated with rituximab plus CHOP used to validate the new algorithm.
  • 47 GCB and 37 ABC subtypes in the validation set.

Sources:

  • Choi et al. (2009). A New Immunostain Algorithm Classifies Diffuse Large B-Cell Lymphoma into Molecular Subtypes with High Accuracy. Clinical Cancer Research, 15(17), 5494-5502.
  • American Association for Cancer Research. (Publishers of Clinical Cancer Research).
  • W.C. Chan, University of Nebraska, Medical Center, Dept. of Pathology & Microbiology, 983135 Nebraska Med Center, Omaha, NE 68198, USA.
  • Copyright 2009, Blood Weekly via NewsRx.com.

Read more