Author
Christian Steidl
BC Cancer AgencyORCID 0000-0001-9842-9750Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2018-2026 · peak 4/yrCo-Author Collaboration Network
10 top collaborators · 44 mutual co-author links13 papers
Recent·Most cited
- BioinformaticsbioRxivPreprint
Single-cell spatial multi-omic characterization of the tumour microenvironment in transformed follicular lymphoma
Shaocheng Wu, Eric Lee, Anne-Sophie Fratzscher…·Andrew J. L. Roth
The paper uses multi-omic single-cell spatial techniques to study FL transformation, finding spatial shifts in B-cell neighborhoods and immunomodulatory interactions linked to disease progression.
DOI 10.64898/2026.08.11.743383 - Cancer BiologybioRxivPreprint
Spatial Proteomics Reveals Dual-Compartment Immune Evasion Architecture and Core Lymphomagenic Stromal Niches in Follicular Lymphoma
Olivier Elemento, Hiranmayi Ravichandran, Wendy Béguelin…·Ari M. Melnick
This study uses spatial proteomics to reveal immune evasion mechanisms in follicular lymphoma, identifying VISTA and CD14-high follicular dendritic cells as therapeutic targets.
DOI 10.64898/2026.06.09.731209 - BioinformaticsBioinformaticsPeer-reviewed
LCR-modules: a collection of workflows for cancer genome analysis
Kostiantyn Dreval, Laura K. Hilton, Bruno M. Grande…·Ryan D. Morin
LCR-modules provides a flexible, automated suite of workflows for cancer genome analysis, supporting diverse sequencing types and enabling reproducible, scalable analysis of over 10,800 samples.
- Cancer BiologybioRxivPreprint
Prognostically favorable immune responses to ovarian cancer are distinguished by self-reactive intra-epithelial plasma cells
Allyson C. Banville, Céline M. Laumont, Karanvir Singh…·Brad H. Nelson
The paper identifies self-reactive intra-epithelial plasma cells in ovarian cancer that correlate with improved prognosis and suggest a mechanism for immune response against tumor heterogeneity.
- Cancer BiologybioRxivPreprint
Multidimensional characterization of cellular ecosystems in Hodgkin lymphoma
Tomohiro Aoki, Gerben Duns, Shinya Rai…·Christian Steidl
This study identifies four molecular subtypes of Hodgkin lymphoma using multimodal data, revealing distinct clinical features and immune ecosystem dynamics.
- Cancer BiologyBloodPeer-reviewed
Integrative genomic analysis identifies unique immune environments associated with immunotherapy response in diffuse large B cell lymphoma
Sravya Tumuluru, James K. Godfrey, Alan B Cooper…·Justin Paul Kline
This study identifies unique immune environments in DLBCL associated with response to immunotherapy using an integrative multi-omic approach.
35 citationstop 1% - BioinformaticsBioinformaticsPeer-reviewed
ESQmodel: biologically informed evaluation of 2-D cell segmentation quality in multiplexed tissue images
Eric Lee, Dong‐Kyu Lee, Wayne Fan…·Andrew J. L. Roth
ESQmodel evaluates single-cell segmentation quality using expression data and a prior belief of cellular composition to compute per-cell entropy.
- BioinformaticsbioRxivPreprint
Integrated single cell analysis reveals co-evolution of malignant B cells and the tumor microenvironment in transformed follicular lymphoma
Clémentine Sarkozy, Shaocheng Wu, Katsuyoshi Takata…·Andrew J. L. Roth
The paper uses single-cell sequencing to study the evolution of follicular lymphoma and its microenvironment during transformation, finding gene programs and TME changes associated with progression.
- GenomicsBloodPeer-reviewed
Coding and regulatory drivers of mantle cell lymphoma identified through exome and genome sequencing
Prasath Pararajalingam, Krysta Mila Coyle, Sarah E. Arthur…·Ryan D. Morin
This study identifies genetic drivers of mantle cell lymphoma through exome and genome sequencing, revealing novel mutations in genes involved in RNA splicing and regulation.
71 citationstop 2% - BioinformaticsbioRxivPreprint
Probabilistic cell type assignment of single-cell transcriptomic data reveals spatiotemporal microenvironment dynamics in human cancers
Allen W. Zhang, Ciara H. O’Flanagan, Elizabeth A. Chavez…·Sohrab P. Shah
CellAssign probabilistically assigns cell types to scRNA-seq data, revealing spatiotemporal dynamics in human cancers like ovarian and follicular lymphoma.
- GenomicsNature CommunicationsPeer-reviewed
Genome-wide discovery of somatic coding and regulatory variants in Diffuse Large B-cell Lymphoma
Sarah E. Arthur, Aixiang Jiang, Bruno M. Grande…·Ryan D. Morin
This study identifies somatic coding and regulatory variants in DLBCL, revealing novel mechanisms of oncogene deregulation and potential therapeutic targets.
146 citationstop 1%