Defining APOBEC-like signature in diffuse large B-cell lymphoma and demonstration of distinct transcriptomic profile.

A Adam Albitar (1Genomic Testing Cooperative, Lake Forest, United States) A Andrew Ip (14Division of Oncology, John Theurer Cancer Center, Hackensack University Medical Center, Hackensack Meridian Health, Hackensack, NJ) S Sally Agersborg (1Genomic Testing Cooperative, Lake Forest, United States) A Ahmad Charifa (1Genomic Testing Cooperative, Lake Forest, United States) T Tatyana A. Feldman (Hackensack University Medical Center, Hackensack, New Jersey, United States) A Andre Goy (14Division of Oncology, John Theurer Cancer Center, Hackensack University Medical Center, Hackensack Meridian Health, Hackensack, NJ) M Maher Albitar (1Genomic Testing Cooperative, Lake Forest, United States)

Abstract

7075 Background: APOBEC (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like) mutational signatures are uncommon in hematologic malignancies compared with solid tumors. This signature is characterized by C>T and C>G substitutions and clustered chromosomal abnormalities and is typically defined using whole-genome or whole-exome sequencing. Data on APOBEC signatures detected by targeted gene panels are limited. We interrogated a database of diffuse large B-cell lymphoma (DLBCL) cases sequenced between 2023 and 2025 using a targeted panel. Cases with >30 mutations were classified as “APOBEC-like,” and their molecular and expression features were analyzed. Methods: DNA and RNA were extracted from FFPE samples and sequenced by next-generation sequencing. DNA sequencing used a 302-gene panel and RNA sequencing a 1,600-gene panel. Hybrid-capture libraries were sequenced on an Illumina NovaSeq 6000. Results: Among 670 DLBCL cases, 39 (6%) demonstrated an APOBEC-like signature. A striking feature was the presence of multiple mutations within the same gene. One case harbored 20 distinct SOCS1 mutations, and 20 of 39 cases (51%) had at least one gene with ≥10 mutations. Cell of origin was germinal center B-cell in 21 cases (54%). All APOBEC-like cases showed numerous chromosomal abnormalities, most commonly 6q deletion/monosomy 6 (23 cases, 59%). Deletion of 17p was rare (2 cases). TP53 mutations were detected in 12 cases (31%), PIM1 in 23 (58%), and SOCS1 in 18 (46%). Gene expression profiling revealed significant differences between APOBEC-like and average DLBCL cases. TRAF3, TRAF5, and TRAF2 expression was significantly lower in APOBEC-like cases (log10 FDR < −12), while NAMPT, PRPF8, SF3A1, NFYC, LUC7L2-MCM3AP, and SMAD5 were significantly overexpressed (log10 FDR < −7). Despite the limited cohort size, random forest modeling demonstrated that expression profiling could distinguish APOBEC-like cases, with 20 genes achieving an AUC of 0.904 in a testing set. Conclusions: APOBEC-like mutational signatures can be identified in approximately 6% of DLBCL cases using targeted gene panels and are characterized by extreme intragenic hypermutation, recurrent chromosomal abnormalities, and a distinct expression profile that enables accurate classification by machine-learning approaches.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 7075-7075
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (7)

A

Adam Albitar

1Genomic Testing Cooperative, Lake Forest, United States

A

Andrew Ip

14Division of Oncology, John Theurer Cancer Center, Hackensack University Medical Center, Hackensack Meridian Health, Hackensack, NJ

S

Sally Agersborg

1Genomic Testing Cooperative, Lake Forest, United States

A

Ahmad Charifa

1Genomic Testing Cooperative, Lake Forest, United States

T

Tatyana A. Feldman

Hackensack University Medical Center, Hackensack, New Jersey, United States

A

Andre Goy

14Division of Oncology, John Theurer Cancer Center, Hackensack University Medical Center, Hackensack Meridian Health, Hackensack, NJ

M

Maher Albitar

1Genomic Testing Cooperative, Lake Forest, United States