Sep 18, 2024 · Since gene expression profiling is not widely available in the clinical setting, immunohistochemical algorithms that approximate these molecular subtypes (i.e., Hans algorithm) …

What is Hans algorithm? The Hans algorithm is a tool used by pathologists to classify diffuse large B cell lymphoma (DLBCL) into different subtypes based on the expression of specific proteins in the cancer …

This study is to classify DLBCL into GC or non-GC according to Hans algorithm, and their association with clinicopathological parameters in patients presented to Hospital Universiti Sains Malaysia (HUSM).

Feb 1, 2020 · The Hans algorithm (Figure 3) employs IHC for CD10, BCL6, and IRF4/MUM1 to predict either germinal center or activated B-cell phenotype (Figure 4). These markers are each considered …

Aug 31, 2009 · Purpose: Hans and coworkers previously developed an immunohistochemical algorithm with ∼80% concordance with the gene expression profiling (GEP) classification of diffuse large B-cell …

Apr 29, 2025 · The Hans algorithm follows a structured approach to classify DLBCL based on immunohistochemical marker expression. The process begins with selecting representative tumor …

Nov 5, 2024 · This study aims to examine if COO subtype by Hans algorithm (based on CD10, BCL6, and MUM1 expression by immunohistochemistry) is predictive of pola responses and outcomes in …

All the samples were evaluated for the subgrouping of COO DLBCL was determined by expression of CD10, BCL6 and MUM1 based on Hans classification. In addition, expressions of c-MYC, BCL2 and …

We intend to subtype DLBCL by Hans algorithm and study whether the subtype correlate with the MIB-1 proliferation indices.

Nov 13, 2025 · The Hybrid Adaptive Neural System (HANS) algorithm is a modern computational method designed to tackle complex problems in biological research. Traditional modeling often fails …