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Ly CP, Veletic I, Pacheco CD, Dasdemir E, Jelloul FZ, Ferri-Borgogno S, Basi AV, Gomez JA, Root JL, Reville PK, Jindal S, Basu S, Sharma P, Quesada AE, Bueso-Ramos C, Manshouri T, Cuglievan B, Garcia M, Burks JK, Abbas HA. Multimodal spatial proteomic profiling in acute myeloid leukemia. NPJ Precis Oncol 2025; 9:148. [PMID: 40394148 DOI: 10.1038/s41698-025-00897-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 03/21/2025] [Indexed: 05/22/2025] Open
Abstract
Acute myeloid leukemia (AML) resides in an immune-rich microenvironment, yet, immune-based therapies have faltered in eliciting durable responses. Bridging this paradox requires a comprehensive understanding of leukemic interactions within the bone marrow microenvironment. We optimized a high-throughput tissue-microarray-based pipeline for high-plex spatial immunofluorescence and mass cytometry imaging on a single slide, capturing immune, tumor, and structural components. Using unbiased clustering on the spatial K function, we unveiled the presence of tertiary lymphoid-like aggregates in bone marrow, which we validated using spatial transcriptomics and an independent proteomics approach. We then found validated TLS signatures predictive of outcomes in AML using an integrated public 480-patient transcriptomic dataset. By harnessing high-plex spatial proteomics, we open the possibility of discovering novel structures and interactions that underpin leukemic immune response. Further, our study's methodologies and resources can be adapted for other bone marrow diseases where decalcification and autofluorescence present challenges.
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Affiliation(s)
- Christopher P Ly
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ivo Veletic
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher D Pacheco
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Enes Dasdemir
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Fatima Z Jelloul
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sammy Ferri-Borgogno
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Akshay V Basi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Javier A Gomez
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jessica L Root
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Patrick K Reville
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sonali Jindal
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sreyashi Basu
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Padmanee Sharma
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andres E Quesada
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carlos Bueso-Ramos
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Taghi Manshouri
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Branko Cuglievan
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Miriam Garcia
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jared K Burks
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Hussein A Abbas
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Wang Y, Song B, Wang S, Chen M, Xie Y, Xiao G, Wang L, Wang T. Sprod for de-noising spatially resolved transcriptomics data based on position and image information. Nat Methods 2022; 19:950-958. [PMID: 35927477 DOI: 10.1038/s41592-022-01560-w] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 06/22/2022] [Indexed: 11/09/2022]
Abstract
Spatially resolved transcriptomics (SRT) provide gene expression close to, or even superior to, single-cell resolution while retaining the physical locations of sequencing and often also providing matched pathology images. However, SRT expression data suffer from high noise levels, due to the shallow coverage in each sequencing unit and the extra experimental steps required to preserve the locations of sequencing. Fortunately, such noise can be removed by leveraging information from the physical locations of sequencing, and the tissue organization reflected in corresponding pathology images. In this work, we developed Sprod, based on latent graph learning of matched location and imaging data, to impute accurate SRT gene expression. We validated Sprod comprehensively and demonstrated its advantages over previous methods for removing drop-outs in single-cell RNA-sequencing data. We showed that, after imputation by Sprod, differential expression analyses, pathway enrichment and cell-to-cell interaction inferences are more accurate. Overall, we envision de-noising by Sprod to become a key first step towards empowering SRT technologies for biomedical discoveries.
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Affiliation(s)
- Yunguan Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Bing Song
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Shidan Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Mingyi Chen
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Yang Xie
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Guanghua Xiao
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Li Wang
- Department of Mathematics and Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA.
| | - Tao Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA. .,Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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Diversity, localization, and (patho)physiology of mature lymphocyte populations in the bone marrow. Blood 2021; 137:3015-3026. [PMID: 33684935 DOI: 10.1182/blood.2020007592] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 02/25/2021] [Indexed: 02/07/2023] Open
Abstract
The bone marrow (BM) is responsible for generating and maintaining lifelong output of blood and immune cells. In addition to its key hematopoietic function, the BM acts as an important lymphoid organ, hosting a large variety of mature lymphocyte populations, including B cells, T cells, natural killer T cells, and innate lymphoid cells. Many of these cell types are thought to visit the BM only transiently, but for others, like plasma cells and memory T cells, the BM provides supportive niches that promote their long-term survival. Interestingly, accumulating evidence points toward an important role for mature lymphocytes in the regulation of hematopoietic stem cells (HSCs) and hematopoiesis in health and disease. In this review, we describe the diversity, migration, localization, and function of mature lymphocyte populations in murine and human BM, focusing on their role in immunity and hematopoiesis. We also address how various BM lymphocyte subsets contribute to the development of aplastic anemia and immune thrombocytopenia, illustrating the complexity of these BM disorders and the underlying similarities and differences in their disease pathophysiology. Finally, we summarize the interactions between mature lymphocytes and BM resident cells in HSC transplantation and graft-versus-host disease. A better understanding of the mechanisms by which mature lymphocyte populations regulate BM function will likely improve future therapies for patients with benign and malignant hematologic disorders.
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Lamaison C, Tarte K. B cell/stromal cell crosstalk in health, disease, and treatment: Follicular lymphoma as a paradigm. Immunol Rev 2021; 302:273-285. [PMID: 34060097 DOI: 10.1111/imr.12983] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 05/09/2021] [Accepted: 05/10/2021] [Indexed: 12/16/2022]
Abstract
Stromal cells organize specific anatomic compartments within bone marrow (BM) and secondary lymphoid organs where they finely regulate the behavior of mature normal B cells. In particular, lymphoid stromal cells (LSCs) form a phenotypically heterogeneous compartment including various cell subsets variably supporting B-cell survival, activation, proliferation, and differentiation. In turn, activated B cells trigger in-depth remodeling of LSC networks within lymph nodes (LN) and BM. Follicular lymphoma (FL) is one of the best paradigms of a B-cell neoplasia depending on a specific tumor microenvironment (TME), including cancer-associated fibroblasts (CAFs) emerging from the reprogramming of LN LSCs or poorly characterized local BM precursors. FL-CAFs support directly malignant B-cell growth and orchestrate FL permissive cell niche by contributing, through a bidirectional crosstalk, to the recruitment and polarization of immune TME subsets. Recent studies have highlighted a previously unexpected level of heterogeneity of both FL B cells and FL TME, underlined by FL-CAF plasticity. A better understanding of the signaling pathways, molecular mechanisms, and kinetic of stromal cell remodeling in FL would be useful to delineate new predictive markers and new therapeutic approaches in this still fatal malignancy.
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Affiliation(s)
- Claire Lamaison
- UMR_S 1236, Université Rennes 1, INSERM, Etablissement Français du Sang, Rennes, France
| | - Karin Tarte
- UMR_S 1236, Université Rennes 1, INSERM, Etablissement Français du Sang, Rennes, France.,SITI, Pôle de Biologie, CHU Pontchaillou, Rennes, France
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