Ultra-Deep Sequencing Reveals the Mutational Landscape of Classical Hodgkin Lymphoma

Author:

Gomez Felicia123ORCID,Fisk Bryan12ORCID,McMichael Joshua F.2ORCID,Mosior Matthew12ORCID,Foltz Jennifer A.1ORCID,Skidmore Zachary L.12ORCID,Duncavage Eric J.4ORCID,Miller Christopher A.12ORCID,Abel Haley12ORCID,Li Yi-Shan4ORCID,Russler-Germain David A.1ORCID,Krysiak Kilannin1234ORCID,Watkins Marcus P.1ORCID,Ramirez Cody A.12ORCID,Schmidt Alina12ORCID,Martins Rodrigues Fernanda12ORCID,Trani Lee2ORCID,Khanna Ajay1ORCID,Wagner Julia A.1ORCID,Fulton Robert S.2ORCID,Fronick Catrina C.2ORCID,O'Laughlin Michelle D.2ORCID,Schappe Timothy1ORCID,Cashen Amanda F.1ORCID,Mehta-Shah Neha1ORCID,Kahl Brad S.1ORCID,Walker Jason2ORCID,Bartlett Nancy L.1ORCID,Griffith Malachi1235ORCID,Fehniger Todd A.13ORCID,Griffith Obi L.1235ORCID

Affiliation:

1. 1Department of Medicine, Division of Oncology, Washington University School of Medicine, St Louis, Missouri.

2. 2McDonnell Genome Institute, Department of Medicine, Washington University School of Medicine, St Louis, Missouri.

3. 3Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri.

4. 4Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri.

5. 5Department of Genetics, Washington University School of Medicine, St Louis, Missouri.

Abstract

Abstract The malignant Hodgkin and Reed Sternberg (HRS) cells of classical Hodgkin lymphoma (cHL) are scarce in affected lymph nodes, creating a challenge to detect driver somatic mutations. As an alternative to cell purification techniques, we hypothesized that ultra-deep exome sequencing would allow genomic study of HRS cells, thereby streamlining analysis and avoiding technical pitfalls. To test this, 31 cHL tumor/normal pairs were exome sequenced to approximately 1,000× median depth of coverage. An orthogonal error-corrected sequencing approach verified >95% of the discovered mutations. We identified mutations in genes novel to cHL including: CDH5 and PCDH7, novel stop gain mutations in IL4R, and a novel pattern of recurrent mutations in pathways regulating Hippo signaling. As a further application of our exome sequencing, we attempted to identify expressed somatic single-nucleotide variants (SNV) in single-nuclei RNA sequencing (snRNA-seq) data generated from a patient in our cohort. Our snRNA analysis identified a clear cluster of cells containing a somatic SNV identified in our deep exome data. This cluster has differentially expressed genes that are consistent with genes known to be dysregulated in HRS cells (e.g., PIM1 and PIM3). The cluster also contains cells with an expanded B-cell clonotype further supporting a malignant phenotype. This study provides proof-of-principle that ultra-deep exome sequencing can be utilized to identify recurrent mutations in HRS cells and demonstrates the feasibility of snRNA-seq in the context of cHL. These studies provide the foundation for the further analysis of genomic variants in large cohorts of patients with cHL. Significance: Our data demonstrate the utility of ultra-deep exome sequencing in uncovering somatic variants in Hodgkin lymphoma, creating new opportunities to define the genes that are recurrently mutated in this disease. We also show for the first time the successful application of snRNA-seq in Hodgkin lymphoma and describe the expression profile of a putative cluster of HRS cells in a single patient.

Funder

HHS | NIH | National Human Genome Research Institute

HHS | NIH | National Cancer Institute

V Foundation for Cancer Research

Publisher

American Association for Cancer Research (AACR)

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