Increased yield of recurrent structural variants (SVs) in Ph-like B-cell acute lymphoblastic leukemia (B-ALL) using a streamlined clinical whole-genome sequencing (WGS) assay

A Andrew Hughes F Feiyu Du (2McDonnell Genome Institute, Washington University School of Medicine, St. Louis, United States) M Michele O'Laughlin (2McDonnell Genome Institute, Washington University School of Medicine, St. Louis, United States) G Gregory Sprenger (1Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, United States) M Mohamed Mahgoub (3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States) N Nidhi Davarapalli (3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States) H Heidi Struthers (3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States) H Haley Abel (3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States) C Christopher Manring (4Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, United States) R Richard Harvey (5Department of Pathology, University of New Mexico, Albuquerque, United States) C Caner Saygin (9Department of Medicine, University of Chicago, Chicago, IL) J Jun Yin J Jun J. Yang (Department of Pharmacy and Pharmaceutical Sciences) D Daniel Deangelo (2Dana Farber Cancer Institute, Boston, United States) S Shira Dinner (13Northwestern University, Chicago, United States) R Richard Stone M Marina Konopleva A Ann-Kathrin Eisfeld (6The Ohio State University Comprehensive Cancer Center, Columbus, OH) M Molly Schroeder (1Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, United States) E Eric Duncavage (1Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, United States) A Anjali Advani (6Cleveland Clinic Taussig Cancer Institute, Cleveland, OH) W Wendy Stock G Geoffrey Uy (18Washington University School of Medicine, Saint Louis, United States) D David Spencer (3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States)

Abstract

Abstract Introduction Ph-like B-ALL is a poor-risk B-ALL subtype defined by gene expression signatures that resemble the BCR::ABL1-associated transcriptional program in the absence of the BCR-ABL1 oncoprotein. Recent studies have demonstrated that up to 80% of Ph-like B-ALLs have recurrent gene fusions involving cytokine receptors or tyrosine kinases that can be identified via cytogenetics, fluorescence in situ hybridization (FISH) or RNA sequencing. However, the inability to rapidly and accurately identify these alterations in the clinical setting is a major impediment to developing therapeutic strategies that may have efficacy in this B-ALL subtype. Here we used 88 patient (pt) samples to validate a rapid, streamlined clinical WGS assay (ChromoSeq) for B-ALL and assessed the diagnostic yield for Ph-like-associated SVs in 136 pts enrolled in the Alliance A041501 clinical trial. Methods ChromoSeq is a clinical WGS assay for hematologic malignancies that uses rapid laboratory workflows and focused analysis methods to identify clinically relevant SVs, copy number alterations and gene-level mutations. We updated the ChromoSeq pipeline for use in B-ALL pts and validated it using 88 retrospective B-ALL samples (80 adult/young adult and 8 pediatric from Washington University School of Medicine and St. Louis Children's Hospital), 54 of which were analyzed via RNAseq for gene fusions and a 6-gene Ph-like B-ALL signature (CA6, SPATS2L, MUC4, JCHAIN, BMPR1B, ADGRF1, NRXN3 and CRLF2). The “ChromoSeqV2” assay was then used to analyze 136 pretreatment blood or bone marrow samples from the Alliance A041501 (trial NCT03150693). These results were compared to data from RNAseq obtained for research purposes (N=35), clinical cytogenetics (N=69) and Ph-like classification via low-density microarray (LDA) card analysis (all pts). Results ChromoSeqV2 was validated in a CLIA-licensed setting using cohort of 88 retrospective B-ALL samples, 45 of which had ICC and WHO class-defining SVs based on G-banded karyotyping, FISH or RNAseq. ChromoSeqV2 detected 100% of the non-Ph-like SVs (37/37), including BCR::ABL1 (N=20), KMT2Ar (N=9), ETV6::RUNX1 (N=3), TCF3::PBX1 (N=1), and rearrangements involving MYC (N=2) or MEF2D (N=2). Fifteen patients met criteria for Ph-like B-ALL via cytogenetics or RNAseq either due to rearrangements of CRLF2 (N=5), JAK2 (N=2) or ABL2 (N=1) or high expression of a 6-gene Ph-like signature (N=7). ChromoSeqV2 detected a Ph-like SV in 93% of these cases (14/15) with 100% specificity in samples negative by RNAseq (N=23). ChromoSeqV2 was then used to profile 136 samples from the Alliance A041501 trial, where it identified ICC and WHO class-defining SVs in 87 pts (64%; 95% CI: 55-72%), including Ph-like SVs (56/136, 41%), KMT2A rearrangements (N=5), TCF3::PBX1 (N=3) and SVs involving MYC (N=3), MEF2D (N=2), DUX4 (N=2), and ZNF384 (N=1). Ph-like SVs were dominated by CRLF2 rearrangements (N=45) and included SVs involving EPOR (N=4), JAK2 (N=3), ABL1/ABL2 (N=2) and PDGFRB (N=1). IGH was the most common CRLF2 partner (N=32), followed by P2RY8::CRLF2 (N=7) and other genes (N=5). Multiple CRLF2 SVs were detected in 4 pts, and 33% (15/45) of pts with a CRLF2 rearrangement had a co-occurring CRLF2 gene mutation. The yield of ChromoSeqV2 for SVs in pts with the Ph-like expression signature via LDA card analysis was 66% (54/82; 95% CI 55%-76%) compared to 24% (11/45; 95% CI 13%-40%) by cytogenetics when these studies were successful and 70% (12/17; 95% CI 44%-90%) vs RNAseq in pts with available data. The sensitivity of ChromoSeqV2 for Ph-like SVs identified by either cytogenetics, FISH or RNAseq was 100% (21/21; 95% CI 84%-100%) and the positive predictive value of Ph-like SVs for the Ph-like expression signature by the LDA card assay was 96% (54/56; 95% CI 88%-99%). Conclusions Genomic assessment of 136 B-ALL pts from the Alliance A041501 trial using the ChromoSeqV2 rapid clinical WGS assay was 100% sensitive for Ph-like SVs identified by other molecular methods and had a 96% PPV for the Ph-like expression signature via LDA card analysis. The diagnostic yield of SV pts with the Ph-like signature was 66% using ChromoSeqV2, which was similar to RNAseq and superior to cytogenetics. These results demonstrate that ChromoSeqV2 is an effective approach for identifying potentially targetable rearrangements in B-ALL pts suspected of having the Ph-like phenotype. Support: U10CA180821, U10CA180882; . Servier; Pfizer.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 1590-1590
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (24)

A

Andrew Hughes

F

Feiyu Du

2McDonnell Genome Institute, Washington University School of Medicine, St. Louis, United States

M

Michele O'Laughlin

2McDonnell Genome Institute, Washington University School of Medicine, St. Louis, United States

G

Gregory Sprenger

1Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, United States

M

Mohamed Mahgoub

3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States

N

Nidhi Davarapalli

3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States

H

Heidi Struthers

3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States

H

Haley Abel

3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States

C

Christopher Manring

4Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, United States

R

Richard Harvey

5Department of Pathology, University of New Mexico, Albuquerque, United States

C

Caner Saygin

9Department of Medicine, University of Chicago, Chicago, IL

J

Jun Yin

J

Jun J. Yang

Department of Pharmacy and Pharmaceutical Sciences

D

Daniel Deangelo

2Dana Farber Cancer Institute, Boston, United States

S

Shira Dinner

13Northwestern University, Chicago, United States

R

Richard Stone

M

Marina Konopleva

A

Ann-Kathrin Eisfeld

6The Ohio State University Comprehensive Cancer Center, Columbus, OH

M

Molly Schroeder

1Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, United States

E

Eric Duncavage

1Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, United States

A

Anjali Advani

6Cleveland Clinic Taussig Cancer Institute, Cleveland, OH

W

Wendy Stock

G

Geoffrey Uy

18Washington University School of Medicine, Saint Louis, United States

D

David Spencer

3Division of Oncology, Washington University School of Medicine, Department of Medicine, St. Louis, United States