LymphGen

Overview

LymphGen is a probabilistic classification algorithm that assigns diffuse large B-cell lymphoma (DLBCL) cases to one of six molecular subtypes (MCD, BN2, EZB, A53, ST2, N1) based on SNVs, small INDELs, copy number alterations, and FISH translocation data PMID:38497151.

Used by

• PMID:38497151 — LymphGen was applied to SNV/INDEL/CNA data from MSK-IMPACT Heme (400-gene panel) plus BCL2/BCL6 FISH translocation data in 396 DLBCL cases; achieved 92% overall accuracy (sensitivity 86%, specificity 98%) vs. the comprehensive NCI panel ground truth; 55% of MSK cases were classified, with EZB (22%) as the most common subtype; removing CNA input reduced accuracy to 81% PMID:38497151.

Notes

• LymphGen can be applied to clinical-grade 400-gene targeted sequencing panels with acceptable sensitivity/specificity; CNA data is required for A53 subtype classification PMID:38497151.
• Restricting to Core predictions (>90% probability threshold) improves accuracy to 96% PMID:38497151.
• Corpus-grown slug; not present in canonical ontology.

Sources

• PMID:38497151

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