The ASH HematOmics Program supports integrative analysis of genomic and clinical data in hematologic diseases

C Congyu Lu (1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN) G Gavriel Y. Matt (1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN) R Robin Paul (1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN) J Jian Wang E Edgar Sioson (1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN) K Karishma Gangwani (1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN) A Aleksandar Acić (1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN) A Andrew Willems (1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN) A Airen Zaldívar Peraza (1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN) C Colleen Reilly (1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN) P Petri Pölönen Q Qingsong Gao (2Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN) Q Qian Li S Stanley B. Pounds (3Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN) A Andy G. X. Zeng S Sihan Li (Division of Ribonucleic Acid (RNA) and Gene Regulation, Institute of Medical Science, The University of Tokyo) N Niroshan Nadarajah (7Munich Leukemia Laboratory, Munich, Germany) S Samuel W. Brady I Ilaria Iacobucci (2Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN) T Torsten Haferlach (7Munich Leukemia Laboratory, Munich, Germany) M Miquella C. Rose (8American Society of Hematology, Washington, DC) C Charles G. Mullighan X Xin Zhou

Abstract

Abstract The increasing availability of genomic and transcriptomic sequencing has uncovered diverse genomic alterations and distinct gene expression profiles driving hematologic diseases, yet a data integration and sharing platform dedicated to hematology remains lacking. We developed the American Society of Hematology (ASH) HematOmics Program (ASHOP; ashop.hematology.org), a resource for exploring somatic alterations and gene fusions, transcriptomic results, and clinical data from 5960 patients spanning B-cell precursor and T-cell acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndromes, and chronic lymphocytic leukemia. Users can explore genomic alteration landscapes and comutation patterns via lollipop and matrix plots and analyze significantly altered genes in user-defined subcohorts. Transcriptomes can be explored through interactive uniform manifold approximation and projections, clustering, differential expression, and pathway enrichment. Genomic, transcriptomic features, and clinical outcomes can be correlated in a user-driven manner or combined to precisely define study cohorts. We illustrate the following 4 use cases of ASHOP: (1) stratification of DUX4-rearranged B-cell leukemias into Early/Multipotent and Committed subgroups with distinct outcomes, (2) characterization of HOXA/HOXB expression patterns in acute myeloid leukemias, (3) correlating mutational burden with mismatch repair deficiency and mutational signatures, and (4) investigation of TP53 alteration landscape. ASHOP is an open-access resource to inform genomic and transcriptomic data interpretation for hematologic malignancies and will expand to support additional diseases and data modalities from the ASH community.

Article Details

Journal Blood
Volume / Issue Vol. 148, Issue 4
Published July 23, 2026
Pages 450-461
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (23)

C

Congyu Lu

1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN

G

Gavriel Y. Matt

1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN

R

Robin Paul

1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN

J

Jian Wang

E

Edgar Sioson

1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN

K

Karishma Gangwani

1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN

A

Aleksandar Acić

1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN

A

Andrew Willems

1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN

A

Airen Zaldívar Peraza

1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN

C

Colleen Reilly

1Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN

P

Petri Pölönen

Q

Qingsong Gao

2Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN

Q

Qian Li

S

Stanley B. Pounds

3Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN

A

Andy G. X. Zeng

S

Sihan Li

Division of Ribonucleic Acid (RNA) and Gene Regulation, Institute of Medical Science, The University of Tokyo

N

Niroshan Nadarajah

7Munich Leukemia Laboratory, Munich, Germany

S

Samuel W. Brady

I

Ilaria Iacobucci

2Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN

T

Torsten Haferlach

7Munich Leukemia Laboratory, Munich, Germany

M

Miquella C. Rose

8American Society of Hematology, Washington, DC

C

Charles G. Mullighan

X

Xin Zhou