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  1. Article ; Online: Baricitinib with cyclosporine eliminates acute graft rejection in fully mismatched skin and heart transplant models.

    Abboud, Ramzi / Kim, Sena / Staser, Karl / Jayasinghe, Reyka G / Lim, Sora / Amatya, Parmeshwar / Frye, C Corbin / Kopecky, Benjamin / Ritchey, Julie / Gao, Feng / Lavine, Kory / Kreisel, Daniel / DiPersio, John F / Choi, Jaebok

    Frontiers in immunology

    2023  Volume 14, Page(s) 1264496

    Abstract: Solid organ transplant represents a potentially lifesaving procedure for patients suffering from end-stage heart, lung, liver, and kidney failure. However, rejection remains a significant source of morbidity and immunosuppressive medications have ... ...

    Abstract Solid organ transplant represents a potentially lifesaving procedure for patients suffering from end-stage heart, lung, liver, and kidney failure. However, rejection remains a significant source of morbidity and immunosuppressive medications have significant toxicities. Janus kinase (JAK) inhibitors are effective immunosuppressants in autoimmune diseases and graft versus host disease after allogeneic hematopoietic cell transplantation. Here we examine the role of JAK inhibition in preclinical fully major histocompatibility mismatched skin and heart allograft models. Baricitinib combined with cyclosporine A (CsA) preserved fully major histocompatibility mismatched skin grafts for the entirety of a 111-day experimental period. In baricitinib plus CsA treated mice, circulating CD4
    MeSH term(s) Humans ; Animals ; Mice ; Cyclosporine/therapeutic use ; Graft Rejection/prevention & control ; Heart Transplantation/adverse effects ; Sulfonamides
    Chemical Substances Cyclosporine (83HN0GTJ6D) ; baricitinib (ISP4442I3Y) ; Sulfonamides
    Language English
    Publishing date 2023-09-06
    Publishing country Switzerland
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2023.1264496
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Cross center single-cell RNA sequencing study of the immune microenvironment in rapid progressing multiple myeloma.

    Pilcher, William / Thomas, Beena E / Bhasin, Swati S / Jayasinghe, Reyka G / Yao, Lijun / Gonzalez-Kozlova, Edgar / Dasari, Surendra / Kim-Schulze, Seunghee / Rahman, Adeeb / Patton, Jonathan / Fiala, Mark / Cheloni, Giulia / Kourelis, Taxiarchis / Dhodapkar, Madhav V / Vij, Ravi / Mehr, Shaadi / Hamilton, Mark / Cho, Hearn Jay / Auclair, Daniel /
    Avigan, David E / Kumar, Shaji K / Gnjatic, Sacha / Ding, Li / Bhasin, Manoj

    NPJ genomic medicine

    2023  Volume 8, Issue 1, Page(s) 3

    Abstract: Despite advancements in understanding the pathophysiology of Multiple Myeloma (MM), the cause of rapid progressing disease in a subset of patients is still unclear. MM's progression is facilitated by complex interactions with the surrounding bone marrow ( ...

    Abstract Despite advancements in understanding the pathophysiology of Multiple Myeloma (MM), the cause of rapid progressing disease in a subset of patients is still unclear. MM's progression is facilitated by complex interactions with the surrounding bone marrow (BM) cells, forming a microenvironment that supports tumor growth and drug resistance. Understanding the immune microenvironment is key to identifying factors that promote rapid progression of MM. To accomplish this, we performed a multi-center single-cell RNA sequencing (scRNA-seq) study on 102,207 cells from 48 CD138
    Language English
    Publishing date 2023-01-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2813848-X
    ISSN 2056-7944 ; 2056-7944
    ISSN (online) 2056-7944
    ISSN 2056-7944
    DOI 10.1038/s41525-022-00340-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: LINC00355 regulates p27

    Eteleeb, Abdallah M / Thunuguntla, Prasanth K / Gelev, Kyla Z / Tang, Cynthia Y / Rozycki, Emily B / Miller, Alexander / Lei, Jonathan T / Jayasinghe, Reyka G / Dang, Ha X / White, Nicole M / Reis-Filho, Jorge S / Mardis, Elaine R / Ellis, Matthew J / Ding, Li / Silva-Fisher, Jessica M / Maher, Christopher A

    NPJ breast cancer

    2022  Volume 8, Issue 1, Page(s) 49

    Abstract: Late-stage relapse (LSR) in patients with breast cancer (BC) occurs more than five years and up to 10 years after initial treatment and has less than 30% 5-year relative survival rate. Long non-coding RNAs (lncRNAs) play important roles in BC yet have ... ...

    Abstract Late-stage relapse (LSR) in patients with breast cancer (BC) occurs more than five years and up to 10 years after initial treatment and has less than 30% 5-year relative survival rate. Long non-coding RNAs (lncRNAs) play important roles in BC yet have not been studied in LSR BC. Here, we identify 1127 lncRNAs differentially expressed in LSR BC via transcriptome sequencing and analysis of 72 early-stage and 24 LSR BC patient tumors. Decreasing expression of the most up-regulated lncRNA, LINC00355, in BC and MCF7 long-term estrogen deprived cell lines decreases cellular invasion and proliferation. Subsequent mechanistic studies show that LINC00355 binds to MENIN and changes occupancy at the CDKN1B promoter to decrease p27
    Language English
    Publishing date 2022-04-13
    Publishing country United States
    Document type Journal Article
    ISSN 2374-4677
    ISSN 2374-4677
    DOI 10.1038/s41523-022-00412-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: CS1 CAR-T targeting the distal domain of CS1 (SLAMF7) shows efficacy in high tumor burden myeloma model despite fratricide of CD8+CS1 expressing CAR-T cells.

    O'Neal, Julie / Ritchey, Julie K / Cooper, Matthew L / Niswonger, Jessica / Sofía González, L / Street, Emily / Rettig, Michael P / Gladney, Susan W / Gehrs, Leah / Abboud, Ramzi / Prior, Julie L / Haas, Gabriel J / Jayasinghe, Reyka G / Ding, Li / Ghobadi, Armin / Vij, Ravi / DiPersio, John F

    Leukemia

    2022  Volume 36, Issue 6, Page(s) 1625–1634

    Abstract: Despite improvement in treatment options for myeloma patients, including targeted immunotherapies, multiple myeloma remains a mostly incurable malignancy. High CS1 (SLAMF7) expression on myeloma cells and limited expression on normal cells makes it a ... ...

    Abstract Despite improvement in treatment options for myeloma patients, including targeted immunotherapies, multiple myeloma remains a mostly incurable malignancy. High CS1 (SLAMF7) expression on myeloma cells and limited expression on normal cells makes it a promising target for CAR-T therapy. The CS1 protein has two extracellular domains - the distal Variable (V) domain and the proximal Constant 2 (C2) domain. We generated and tested CS1-CAR-T targeting the V domain of CS1 (Luc90-CS1-CAR-T) and demonstrated anti-myeloma killing in vitro and in vivo using two mouse models. Since fratricide of CD8 + cells occurred during production, we generated fratricide resistant CS1 deficient Luc90- CS1- CAR-T (ΔCS1-Luc90- CS1- CAR-T). This led to protection of CD8 + cells in the CAR-T cultures, but had no impact on efficacy. Our data demonstrate targeting the distal V domain of CS1 could be an effective CAR-T treatment for myeloma patients and deletion of CS1 in clinical production did not provide an added benefit using in vivo immunodeficient NSG preclinical models.
    MeSH term(s) Animals ; CD8-Positive T-Lymphocytes/pathology ; Humans ; Immunotherapy, Adoptive ; Mice ; Multiple Myeloma/pathology ; Receptors, Chimeric Antigen/metabolism ; Signaling Lymphocytic Activation Molecule Family/metabolism ; T-Lymphocytes/metabolism ; Tumor Burden ; Xenograft Model Antitumor Assays
    Chemical Substances Receptors, Chimeric Antigen ; SLAMF7 protein, human ; Signaling Lymphocytic Activation Molecule Family
    Language English
    Publishing date 2022-04-14
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 807030-1
    ISSN 1476-5551 ; 0887-6924
    ISSN (online) 1476-5551
    ISSN 0887-6924
    DOI 10.1038/s41375-022-01559-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Evolution and structure of clinically relevant gene fusions in multiple myeloma

    Steven M. Foltz / Qingsong Gao / Christopher J. Yoon / Hua Sun / Lijun Yao / Yize Li / Reyka G. Jayasinghe / Song Cao / Justin King / Daniel R. Kohnen / Mark A. Fiala / Li Ding / Ravi Vij

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 12

    Abstract: Multiple myeloma is characterised by frequent gene fusions. Here, the authors use data from the Multiple Myeloma Research Foundation CoMMpass Study to further investigate fusion genes in this disease and their clinical relevance. ...

    Abstract Multiple myeloma is characterised by frequent gene fusions. Here, the authors use data from the Multiple Myeloma Research Foundation CoMMpass Study to further investigate fusion genes in this disease and their clinical relevance.
    Keywords Science ; Q
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Evolution and structure of clinically relevant gene fusions in multiple myeloma

    Steven M. Foltz / Qingsong Gao / Christopher J. Yoon / Hua Sun / Lijun Yao / Yize Li / Reyka G. Jayasinghe / Song Cao / Justin King / Daniel R. Kohnen / Mark A. Fiala / Li Ding / Ravi Vij

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 12

    Abstract: Multiple myeloma is characterised by frequent gene fusions. Here, the authors use data from the Multiple Myeloma Research Foundation CoMMpass Study to further investigate fusion genes in this disease and their clinical relevance. ...

    Abstract Multiple myeloma is characterised by frequent gene fusions. Here, the authors use data from the Multiple Myeloma Research Foundation CoMMpass Study to further investigate fusion genes in this disease and their clinical relevance.
    Keywords Science ; Q
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Motixafortide and G-CSF to mobilize hematopoietic stem cells for autologous transplantation in multiple myeloma: a randomized phase 3 trial.

    Crees, Zachary D / Rettig, Michael P / Jayasinghe, Reyka G / Stockerl-Goldstein, Keith / Larson, Sarah M / Arpad, Illes / Milone, Giulio A / Martino, Massimo / Stiff, Patrick / Sborov, Douglas / Pereira, Denise / Micallef, Ivana / Moreno-Jiménez, Gemma / Mikala, Gabor / Coronel, Maria Liz Paciello / Holtick, Udo / Hiemenz, John / Qazilbash, Muzaffar H / Hardy, Nancy /
    Latif, Tahir / García-Cadenas, Irene / Vainstein-Haras, Abi / Sorani, Ella / Gliko-Kabir, Irit / Goldstein, Inbal / Ickowicz, Debby / Shemesh-Darvish, Liron / Kadosh, Shaul / Gao, Feng / Schroeder, Mark A / Vij, Ravi / DiPersio, John F

    Nature medicine

    2023  Volume 29, Issue 4, Page(s) 869–879

    Abstract: Autologous hematopoietic stem cell transplantation (ASCT) improves survival in multiple myeloma (MM). However, many individuals are unable to collect optimal ... ...

    Abstract Autologous hematopoietic stem cell transplantation (ASCT) improves survival in multiple myeloma (MM). However, many individuals are unable to collect optimal CD34
    MeSH term(s) Adult ; Humans ; Multiple Myeloma/drug therapy ; Transplantation, Autologous ; Prospective Studies ; Heterocyclic Compounds/pharmacology ; Heterocyclic Compounds/therapeutic use ; Hematopoietic Stem Cell Mobilization/methods ; Hematopoietic Stem Cell Transplantation/adverse effects ; Hematopoietic Stem Cells/metabolism ; Antigens, CD34/metabolism ; Granulocyte Colony-Stimulating Factor/pharmacology ; Granulocyte Colony-Stimulating Factor/therapeutic use ; Immunologic Factors/therapeutic use
    Chemical Substances Heterocyclic Compounds ; Antigens, CD34 ; Granulocyte Colony-Stimulating Factor (143011-72-7) ; Immunologic Factors
    Language English
    Publishing date 2023-04-17
    Publishing country United States
    Document type Clinical Trial, Phase III ; Randomized Controlled Trial ; Multicenter Study ; Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1220066-9
    ISSN 1546-170X ; 1078-8956
    ISSN (online) 1546-170X
    ISSN 1078-8956
    DOI 10.1038/s41591-023-02273-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin.

    Liang, Wen-Wei / Lu, Rita Jui-Hsien / Jayasinghe, Reyka G / Foltz, Steven M / Porta-Pardo, Eduard / Geffen, Yifat / Wendl, Michael C / Lazcano, Rossana / Kolodziejczak, Iga / Song, Yizhe / Govindan, Akshay / Demicco, Elizabeth G / Li, Xiang / Li, Yize / Sethuraman, Sunantha / Payne, Samuel H / Fenyö, David / Rodriguez, Henry / Wiznerowicz, Maciej /
    Shen, Hui / Mani, D R / Rodland, Karin D / Lazar, Alexander J / Robles, Ana I / Ding, Li

    Cancer cell

    2023  Volume 41, Issue 9, Page(s) 1567–1585.e7

    Abstract: DNA methylation plays a critical role in establishing and maintaining cellular identity. However, it is frequently dysregulated during tumor development and is closely intertwined with other genetic alterations. Here, we leveraged multi-omic profiling of ...

    Abstract DNA methylation plays a critical role in establishing and maintaining cellular identity. However, it is frequently dysregulated during tumor development and is closely intertwined with other genetic alterations. Here, we leveraged multi-omic profiling of 687 tumors and matched non-involved adjacent tissues from the kidney, brain, pancreas, lung, head and neck, and endometrium to identify aberrant methylation associated with RNA and protein abundance changes and build a Pan-Cancer catalog. We uncovered lineage-specific epigenetic drivers including hypomethylated FGFR2 in endometrial cancer. We showed that hypermethylated STAT5A is associated with pervasive regulon downregulation and immune cell depletion, suggesting that epigenetic regulation of STAT5A expression constitutes a molecular switch for immunosuppression in squamous tumors. We further demonstrated that methylation subtype-enrichment information can explain cell-of-origin, intra-tumor heterogeneity, and tumor phenotypes. Overall, we identified cis-acting DNA methylation events that drive transcriptional and translational changes, shedding light on the tumor's epigenetic landscape and the role of its cell-of-origin.
    MeSH term(s) Female ; Humans ; DNA Methylation ; Epigenesis, Genetic ; Multiomics ; Gene Expression Regulation, Neoplastic ; Endometrial Neoplasms/genetics
    Language English
    Publishing date 2023-08-14
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2078448-X
    ISSN 1878-3686 ; 1535-6108
    ISSN (online) 1878-3686
    ISSN 1535-6108
    DOI 10.1016/j.ccell.2023.07.013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Pollock: fishing for cell states.

    Storrs, Erik P / Zhou, Daniel Cui / Wendl, Michael C / Wyczalkowski, Matthew A / Karpova, Alla / Wang, Liang-Bo / Li, Yize / Southard-Smith, Austin / Jayasinghe, Reyka G / Yao, Lijun / Liu, Ruiyang / Wu, Yige / Terekhanova, Nadezhda V / Zhu, Houxiang / Herndon, John M / Puram, Sid / Chen, Feng / Gillanders, William E / Fields, Ryan C /
    Ding, Li

    Bioinformatics advances

    2022  Volume 2, Issue 1, Page(s) vbac028

    Abstract: Motivation: The use of single-cell methods is expanding at an ever-increasing rate. While there are established algorithms that address cell classification, they are limited in terms of cross platform compatibility, reliance on the availability of a ... ...

    Abstract Motivation: The use of single-cell methods is expanding at an ever-increasing rate. While there are established algorithms that address cell classification, they are limited in terms of cross platform compatibility, reliance on the availability of a reference dataset and classification interpretability. Here, we introduce Pollock, a suite of algorithms for cell type identification that is compatible with popular single-cell methods and analysis platforms, provides a set of pretrained human cancer reference models, and reports interpretability scores that identify the genes that drive cell type classifications.
    Results: Pollock performs comparably to existing classification methods, while offering easily deployable pretrained classification models across a wide variety of tissue and data types. Additionally, it demonstrates utility in immune pan-cancer analysis.
    Availability and implementation: Source code and documentation are available at https://github.com/ding-lab/pollock. Pretrained models and datasets are available for download at https://zenodo.org/record/5895221.
    Supplementary information: Supplementary data are available at
    Language English
    Publishing date 2022-05-13
    Publishing country England
    Document type Journal Article
    ISSN 2635-0041
    ISSN (online) 2635-0041
    DOI 10.1093/bioadv/vbac028
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Single-Cell Discovery and Multiomic Characterization of Therapeutic Targets in Multiple Myeloma.

    Yao, Lijun / Wang, Julia T / Jayasinghe, Reyka G / O'Neal, Julie / Tsai, Chia-Feng / Rettig, Michael P / Song, Yizhe / Liu, Ruiyang / Zhao, Yanyan / Ibrahim, Omar M / Fiala, Mark A / Fortier, Julie M / Chen, Siqi / Gehrs, Leah / Rodrigues, Fernanda Martins / Wendl, Michael C / Kohnen, Daniel / Shinkle, Andrew / Cao, Song /
    Foltz, Steven M / Zhou, Daniel Cui / Storrs, Erik / Wyczalkowski, Matthew A / Mani, Smrithi / Goldsmith, Scott R / Zhu, Ying / Hamilton, Mark / Liu, Tao / Chen, Feng / Vij, Ravi / Ding, Li / DiPersio, John F

    Cancer research

    2023  Volume 83, Issue 8, Page(s) 1214–1233

    Abstract: Multiple myeloma (MM) is a highly refractory hematologic cancer. Targeted immunotherapy has shown promise in MM but remains hindered by the challenge of identifying specific yet broadly representative tumor markers. We analyzed 53 bone marrow (BM) ... ...

    Abstract Multiple myeloma (MM) is a highly refractory hematologic cancer. Targeted immunotherapy has shown promise in MM but remains hindered by the challenge of identifying specific yet broadly representative tumor markers. We analyzed 53 bone marrow (BM) aspirates from 41 MM patients using an unbiased, high-throughput pipeline for therapeutic target discovery via single-cell transcriptomic profiling, yielding 38 MM marker genes encoding cell-surface proteins and 15 encoding intracellular proteins. Of these, 20 candidate genes were highlighted that are not yet under clinical study, 11 of which were previously uncharacterized as therapeutic targets. The findings were cross-validated using bulk RNA sequencing, flow cytometry, and proteomic mass spectrometry of MM cell lines and patient BM, demonstrating high overall concordance across data types. Independent discovery using bulk RNA sequencing reiterated top candidates, further affirming the ability of single-cell transcriptomics to accurately capture marker expression despite limitations in sample size or sequencing depth. Target dynamics and heterogeneity were further examined using both transcriptomic and immuno-imaging methods. In summary, this study presents a robust and broadly applicable strategy for identifying tumor markers to better inform the development of targeted cancer therapy.
    Significance: Single-cell transcriptomic profiling and multiomic cross-validation to uncover therapeutic targets identifies 38 myeloma marker genes, including 11 transcribing surface proteins with previously uncharacterized potential for targeted antitumor therapy.
    MeSH term(s) Humans ; Multiple Myeloma/drug therapy ; Multiple Myeloma/genetics ; Multiomics ; Proteomics ; Biomarkers, Tumor/genetics ; Gene Expression Profiling/methods
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2023-02-16
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1432-1
    ISSN 1538-7445 ; 0008-5472
    ISSN (online) 1538-7445
    ISSN 0008-5472
    DOI 10.1158/0008-5472.CAN-22-1769
    Database MEDical Literature Analysis and Retrieval System OnLINE

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