Comparative Analysis of Targeted RNA-Seq and Optical Genome Mapping for Detecting Gene Rearrangements in Acute Leukemia

<b>Background/Objectives:</b> Gene rearrangements involving oncogenes are major drivers in acute leukemia, influencing disease classification, prognosis, and therapeutic decision-making. Targeted RNA sequencing (RNA-Seq) panels capable of detecting intergenic and intragenic fusions across multiple genes are increasingly used in diagnostic settings. However, comparative evaluation with orthogonal technologies remains limited. <b>Material and Methods</b>: We compared the performance of a 108-gene anchored multiplex PCR (AMP)-based RNA-Seq panel with that of Optical Genome Mapping (OGM) in 467 acute leukemia cases. The cohort included 360 cases of acute myeloid leukemia (AML), 89 B-lymphoblastic leukemia (B-ALL), 12 T-lymphoblastic leukemia (T-ALL), and 6 cases of mixed phenotype acute leukemia (MPAL). <b>Results:</b> Results of both methods were concordant in 175 (74.7%) of 234 detected gene/rearrangement fusions. The concordance rate varied significantly across different leukemia types, ranging from 80.2% in B-ALL to 41.7% in T-ALL (<i>p</i> < 0.001) OGM uniquely detected 37 of 234 (15.8%) clinically relevant rearrangements, whereas RNA-Seq exclusively identified 22 of 234 (9.4%). Enhancer-hijacking lesions, including <i>MECOM</i> and <i>BCL11B</i> rearrangements, <i>CDK6::MNX1</i>, and <i>IGH</i> rearrangements, had a markedly lower concordance (20.6%) compared with all other aberrations (93.1%) (<i>p</i> < 0.001). Conversely, some gene fusions arising from intrachromosomal deletions were interpreted by OGM as simple deletions rather than rearrangements or fusions. <b>Conclusions:</b> Targeted RNA-Seq was effective for detecting chimeric fusion transcripts and showed slightly better performance in identifying fusions resulting from deletions. However, OGM was effective for detecting enhancer-hijacking events that do not generate fusion transcripts. Both methods are complementary for the workup of acute leukemia cases.

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Publication Details

Journal
Cancers
Published
2025-10-28
DOI
https://doi.org/10.3390/cancers17213458
Citations
3
Primary Topic
Acute Lymphoblastic Leukemia research
Type
article
Field-Weighted Citation Impact
5.64

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article

Comparative Analysis of Targeted RNA-Seq and Optical Genome Mapping for Detecting Gene Rearrangements in Acute Leukemia

L. Jeffrey Medeiros, Gökçe Törüner, C. Cameron Yin, Keyur P. Patel et al.
3 citations
Cancers
Acute Lymphoblastic Leukemia research
5.64
article

Comparative Analysis of Targeted RNA-Seq and Optical Genome Mapping for Detecting Gene Rearrangements in Acute Leukemia

L. Jeffrey Medeiros, Gökçe Törüner, C. Cameron Yin, Keyur P. Patel, N. Agarwal, Shimin Hu, Hong Fang, Qing Wei, Andres Quesada, Mark J. Routbort, Chi Young Ok, Guilin Tang, Sanam Loghavi, Sofía Garcés, Rashmi Kanagal‐Shamanna, Fatima Zahra Jelloul, Rajyalakshmi Luthra, Iman Sarami, Julian Bryan
article en
3 citations

Abstract

<b>Background/Objectives:</b> Gene rearrangements involving oncogenes are major drivers in acute leukemia, influencing disease classification, prognosis, and therapeutic decision-making. Targeted RNA sequencing (RNA-Seq) panels capable of detecting intergenic and intragenic fusions across multiple genes are increasingly used in diagnostic settings. However, comparative evaluation with orthogonal technologies remains limited. <b>Material and Methods</b>: We compared the performance of a 108-gene anchored multiplex PCR (AMP)-based RNA-Seq panel with that of Optical Genome Mapping (OGM) in 467 acute leukemia cases. The cohort included 360 cases of acute myeloid leukemia (AML), 89 B-lymphoblastic leukemia (B-ALL), 12 T-lymphoblastic leukemia (T-ALL), and 6 cases of mixed phenotype acute leukemia (MPAL). <b>Results:</b> Results of both methods were concordant in 175 (74.7%) of 234 detected gene/rearrangement fusions. The concordance rate varied significantly across different leukemia types, ranging from 80.2% in B-ALL to 41.7% in T-ALL (<i>p</i> < 0.001) OGM uniquely detected 37 of 234 (15.8%) clinically relevant rearrangements, whereas RNA-Seq exclusively identified 22 of 234 (9.4%). Enhancer-hijacking lesions, including <i>MECOM</i> and <i>BCL11B</i> rearrangements, <i>CDK6::MNX1</i>, and <i>IGH</i> rearrangements, had a markedly lower concordance (20.6%) compared with all other aberrations (93.1%) (<i>p</i> < 0.001). Conversely, some gene fusions arising from intrachromosomal deletions were interpreted by OGM as simple deletions rather than rearrangements or fusions. <b>Conclusions:</b> Targeted RNA-Seq was effective for detecting chimeric fusion transcripts and showed slightly better performance in identifying fusions resulting from deletions. However, OGM was effective for detecting enhancer-hijacking events that do not generate fusion transcripts. Both methods are complementary for the workup of acute leukemia cases.

CancersVol. 17(21)
The University of Texas MD Anderson Cancer Center (US)
University of Texas MD Anderson Cancer Center
Openalex Percentile: Top 4%
Acute Lymphoblastic Leukemia research
5.64
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