Back to Authors

Markovic, Svetomir N.

https://orcid.org/0000-0002-9238-4325

Mayo Clinic

Mayo Clinic

Citations 295

Characterization of human immune phenotypes using a novel transcriptome analysis approach (IRM6P.656)
Keulen, Virginia Van, Felts, Sara J. , Pease, Larry R. , Scheid, Adam D. , Keulen, Virginia P. Van , Zhang, Yuji , Markovic, Svetomir N.

The Journal of Immunology | January 1, 2023 | Volume: 194 | Issue: 1_Supplement | Pages: 60.6-60.6

10.4049/jimmunol.194.supp.60.6 Get It

Abstract To test the hypothesis that complex immune phenotypes can be defined by stable gene expression profiles we are using a RNAseq-based transcriptome analysis to relate phenotypes of activated peripheral blood CD4+ cells from healthy subjects and stage IV melanoma patients to their freshly-isolated counterparts. We have defined molecular immune response signatures (MIRS) containing genes that consistently differentiate individuals from one another. Two different phenotypic groups are defined using this approach, both of which are mathematically distinct from randomly-selected groups. First, a MIRS generated using healthy donor T cells stimulated with α-CD3/CD28 beads defines a distinct response phenotype and successfully predicts 17 independent healthy subject and melanoma patient responses, demonstrating the predictive capability of the approach. Second, our comparison of melanoma patient signatures with those of healthy subjects revealed a group of healthy individuals with distinct expression signatures that did not cluster with those of any of the melanoma patients. These results indicate that our RNAseq-based transcriptome analysis has the potential to identify phenotypic groups as well as gene sets that have response-predictive capabilities. Our work has both discovery and translational implications, as our approach can be used to investigate complex genetic contributions to immune responses and predict how individual patients will respond to therapeutic interventions.
An innovative systems perspective of protein-protein interactions in the physiologic T cell antigen receptor signaling network (TECH2P.929)
Neier, Steven C. , Smith, Stephen , Davis, Tessa R. , Nevala, Wendy K. , Markovic, Svetomir, Eckel‐Passow, Jeanette E. , Sciallis, Gabriel F., Wieland, Carilyn N. , Torgerson, Rochelle R. , Sinnwell, Jason P. , Enninga, Elizabeth Ann L. , Markovic, Svetomir N. , Neuhauser, Claudia , Schrum, Adam G.

The Journal of Immunology | January 1, 2023 | Volume: 194 | Issue: 1_Supplement | Pages: 206.39-206.39

10.4049/jimmunol.194.supp.206.39 Get It

Abstract Signaling networks and the protein interactions that define them are of great interest, but techniques to assess these networks in unmanipulated primary human cells are limited. We have developed and applied a novel technological and analytical platform to measure proteins in shared complexes detected by exposed surface epitopes (PiSCES). Immunoprecipitation reactions are performed in multiplex using microsphere beads to measure 20+ proteins and 210+ distinct pair-wise protein associations that are important for T cell antigen receptor signaling. Jurkat T cells stimulated with superantigen generated an extensive PiSCES signature using this method and provided a dataset from which we optimized an analytical package. The system is currently being utilized to address the hypothesis that T cells isolated from skin lesions of autoimmune alopecia areta (AA) patients will have a unique PiSCES signature compared to those isolated from non-AA donors. To investigate this, we have isolated non-engineered primary cells from AA patient skin lesions and healthy controls, and have begun to identify differences in their PiSCES signatures, either directly after isolation or after stimulation with anti-CD3 and anti-CD28. We conclude that this novel PiSCES approach is capable of generating protein-protein interaction signatures that provide a unique view of TCR signalosome activity solicited from physiologic non-engineered primary human patient samples.
Endogenous tumor-reactive CD8+ T cells are differentiated effector cells with high expression of CD11a and PD-1 but are unable to control tumor growth (P2089)
Gibbons, Rachel, Liu, Xin , Harrington, Susan M. , Krco, Christopher J., Markovic, Svetomir, Kwon, Eugene , Markovic, Svetomir N. , Dong, Haidong

The Journal of Immunology | January 1, 2023 | Volume: 190 | Issue: Supplement_1 | Pages: 170.1-170.1

10.4049/jimmunol.190.supp.170.1 Get It

Abstract We utilized CD11a, an integrin up-regulated on effector and memory CD8+ T cells, as a biomarker to identify, measure, and monitor endogenous tumor-reactive cytotoxic lymphocytes (CTLs) in two mouse tumor models and in melanoma patients. CD11ahigh CD8+ T cells were detected in primary and metastatic tumor sites after tumor cell injection, as well as in spontaneous murine breast cancer tissues. In the peripheral blood of melanoma patients, tumor antigen-specific T cells were detected within the population of CD11ahigh CD8+ T cells that express high levels of PD-1. Infusion of lethally irradiated tumor cells failed to stimulate the expansion of CD11ahigh CD8+ T cells, suggesting that the access of tumor cells to target tissues is required to induce CD11ahigh CD8+ T cell responses. Phenotypic analysis revealed that the CD11ahigh CD8+ T cells detected in our studies were proliferating (Ki67+) activated T cells (CD62L-, CD69+). Although CD11ahigh CD8+ T cells were differentiated effector cells with CTL effector functions, they were typically unable to control tumor growth in our mouse models, possibly due to high expression of PD-1. Our results demonstrate that CD11a can be used as a biomarker to identify and track endogenous tumor-reactive CTLs.
Aging is associated with an increase in regulatory T cells, MCP-1 and RANTES (179.13)
Nevala, Wendy K. , Dronca, Roxana , Leontovich, Alexey A. , Markovic, Svetomir, Mansfield, Aaron S. , Markovic, Svetomir N.

The Journal of Immunology | January 1, 2023 | Volume: 188 | Issue: 1_Supplement | Pages: 179.13-179.13

10.4049/jimmunol.188.supp.179.13 Get It

Abstract We have observed Th2 polarization in patients with metastatic malignant melanoma. We hypothesized that changes in the immune system with age may parallel changes we have seen in patients with cancer. We analyzed the peripheral blood of 389 healthy blood donors. We profiled T cell subsets in 389 of the subjects, and antigen-specific tetramers for CMV, influenza and MART-1 in 58 of the subjects. We used a cytokine multiplex to analyze 42 cytokines in 95 of the subjects. We observed significant increases in CD4+ Th2 cells, and decreases in CD3+ T cells, cytotoxic T cells and helper T cells with age. There were fewer CMV-, influenza- and MART-1- specific naïve and CD8+ T cells with age. There were also significant increases in MCP-1 and RANTES with age. We observed differences between males in females in their cytokine profiles in their 20-40’s but not in their 50-60’s. In summary, we have found that aging is associated with an increase in CD4+ Th2 cells and concomitant decreases in total T cell count, cytotoxic T cells and helper T cells. Furthermore, aging is associated with increases in MCP-1 and RANTES. Females had different cytokine profiles than males before menopause, but not after.
Amplifying TLR-MyD88 signals within tumor-specific T-cells enhances antitumor activity to low concentrations of subdominant tumor-antigens (101.35)
Dávila, Eduardo , Geng, Degui, Riker, Adam I., Markovic, Svetomir, Geng, Degui , Srivastava, Ratika , Markovic, Svetomir N.

The Journal of Immunology | December 31, 2022 | Volume: 184 | Issue: Supplement_1 | Pages: 101.35-101.35

10.4049/jimmunol.184.supp.101.35 Get It

Abstract There is a dire need to understand the cellular signals that can potentiate T-cell responses to weakly immunogenic tumor antigens (TAg) and to tumors expressing suboptimal levels of these antigens. We examined the anti-tumor activity and survival of TLR2-MyD88-stimulated tumor-specific CD8 T-cells derived from melanoma patients and TAg-specific T-cell receptor transgenic pmel mice. TLR2 engagement on pmel CD8 T-cells, but not on TLR2-/-pmel or MyD88-/-pmel T-cells, reduced the activation threshold to a subdominant TAg, resulting in increased production of effector molecules and cytotoxicity. Wild-type or MyD88-/- mice treated with pmel T-cells and TLR2 ligand, but not TLR2-/-pmel or MyD88-/-pmel T-cells, showed significant tumor regression of an established melanoma tumor. Over-expressing TLR2 in pmel T-cells eradicated established tumors and four-times fewer cells were needed to generate anti-tumor responses. The enhanced anti-tumor activity was associated with improved survival and increased effector function of TLR2-MyD88-stimulated T-cells. Activating TLR-MyD88 signals in patient-derived T-cells reduced the activation threshold to several weakly immunogenic TAgs, resulting in increased cytokine production, expansion and cytotoxicity. These data highlight the physiological importance of activating TLR-MyD88 signals within tumor-reactive T-lymphocytes for enhancing their longevity and augmenting effector function against suboptimal levels of weakly-immunogenic antigens.
Day 100 Peripheral Blood Natural Killer Cell/CD14+HLA-DR- Ratio Predicts Clinical Outcomes in Lymphoma Patients Treated with Autologous Peripheral Blood Hematopoietic Stem Cell Transplantation
Porrata, Luis F. , Inwards, David J. , Ansell, Stephen M. , Micallef, Ivana N. , Johnston, Patrick B. , Villasboas, José C. , Paludo, Jonas , Durani, Urshila , Markovic, Svetomir N.

Blood | November 28, 2022 | Volume: 140 | Issue: Supplement 1 | Pages: 10577-10578

10.1182/blood-2022-163724 Get It

785 A phase I study of intralymphatic (IL) administration of ipilimumab (IPI) with intravenous nivolumab (NIVO) using the Sofusa® DoseConnect™ device in patients with advanced melanoma
Denic, Kristina Z., Kottschade, Lisa A. , Montane, Heather, Finnes, Heidi D. , Franta, Kristina, Yan, Yiyi , Block, Matthew S. , Markovic, Svetomir, Dimou, Anastasios , Suman, Vera J. , Schimke, Jill M. , McWilliams, Robert R. , Jakub, James W. , Reid, Joel M. , Markovic, Svetomir N.

Regular and Young Investigator Award Abstracts | November 7, 2022 | Volume: No volume available | Issue: No issue available | Pages: A817-A817

10.1136/jitc-2022-sitc2022.0785 Get It

109 Quantitative spatial assessment of the tumor-immune microenvironment in the metastatic melanoma lymph node
Maus, Rachel L.G., Moore, Raymond C., Leontovich, Alexey A. , Dona, Chathu, Dicke, Betty A., Moore, Raymond, Fogarty, Zachary C. , Guo, Ruifeng, Tekin, Burak , Schimke, Jill M. , Chen, Benjamin K. , Markovic, Svetomir N.

Regular and Young Investigator Award Abstracts | November 7, 2022 | Volume: No volume available | Issue: No issue available | Pages: A119-A119

10.1136/jitc-2022-sitc2022.0109 Get It

SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data
Farhadloo, Majid , Molnar, Carl , Luo, Gaoxiang , Li, Yan , Maus, Rachel L.G., Leontovich, Alexey A. , Moore, Raymond C., Shekhar, Shashi , Markovic, Svetomir N. , Moore, Raymond

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 12, 2022 | Volume: No volume available | Issue: No issue available | Pages: 2860-2870

10.1145/3534678.3539168 Get It