Oleksandr Kyrysyuk
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Oleksandr Kyrysyuk has a total of 60 co-authors. Here are the top co-authors by number of shared publications:
- Kai W. Wucherpfennig
Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA
104 shared publications - Deng Pan
Tsinghua-Peking Center for Life Sciences, Department of Basic Medical Sciences, Tsinghua University, Beijing, China
103 shared publications - Jason W. Pyrdol
Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, Massachusetts
103 shared publications - John G. Doench
Genetic Perturbation Platform, Broad Institute, Cambridge, USA
103 shared publications - Tiffany Y. Juan
Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, Massachusetts
103 shared publications - Wubing Zhang
Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts
103 shared publications
Latest Publications
- Open Access
Perturbational single-cell profiling of patient tumors defines lineage- and context-specific programs of innate immune resistance
Despite promise in preclinical models, most immuno-oncology drug candidates fail in clinical trials. These failures reflect limitations in our ability to directly model the response of human tumor and immune cells to immunotherapies. To address this gap and test the effect of innate immune agonists, we developed PERCEPT, an approach that uses ex vivo perturbational single-cell RNA sequencing to compare the response of immunomodulatory treatments with unstimulated controls directly in patient samples. Using PERCEPT, we tested cytokines and innate immune agonists in melanoma and Merkel cell carcinoma (MCC) and identified the dsRNA mimetic, RIG-I agonist, Stem Loop RNA (SLR) 14 as a powerful inducer of anti-viral states and enhancer of T cell activation. We compared transcriptional responder and non-responder patient samples and identified midkine (MDK), a multifunctional cytokine, as a potent repressor of IFN signaling in both tumor and immune cells. MDK expression dampened MHC-I presentation in human tumor cells and reduced activation of antigen-presenting cells, disrupting tumor immunity at multiple levels. In contrast to prior studies, we identified MDK as specifically enriched in neuroendocrine cancers such as MCC and small cell lung cancer compared with melanoma, suggesting the importance of lineage- and context-specific targeting. Our results demonstrate the utility of high-dimensional controlled perturbation of patient samples to identify mechanisms of innate immune response and resistance and demonstrate an actionable path towards clinical development of MDK-inhibiting therapies including FDA-approved ALK inhibitors in neuroendocrine cancers.
Open AccessPerturbational single-cell profiling of patient tumors defines lineage- and context-specific programs of innate immune resistance
Despite promise in preclinical models, most immuno-oncology drug candidates fail in clinical trials. These failures reflect limitations in our ability to directly model the response of human tumor and immune cells to immunotherapies. To address this gap and test the effect of innate immune agonists, we developed PERCEPT, an approach that uses ex vivo perturbational single-cell RNA sequencing to compare the response of immunomodulatory treatments with unstimulated controls directly in patient samples. Using PERCEPT, we tested cytokines and innate immune agonists in melanoma and Merkel cell carcinoma (MCC) and identified the dsRNA mimetic, RIG-I agonist, Stem Loop RNA (SLR) 14 as a powerful inducer of anti-viral states and enhancer of T cell activation. We compared transcriptional responder and non-responder patient samples and identified midkine (MDK), a multifunctional cytokine, as a potent repressor of IFN signaling in both tumor and immune cells. MDK expression dampened MHC-I presentation in human tumor cells and reduced activation of antigen-presenting cells, disrupting tumor immunity at multiple levels. In contrast to prior studies, we identified MDK as specifically enriched in neuroendocrine cancers such as MCC and small cell lung cancer compared with melanoma, suggesting the importance of lineage- and context-specific targeting. Our results demonstrate the utility of high-dimensional controlled perturbation of patient samples to identify mechanisms of innate immune response and resistance and demonstrate an actionable path towards clinical development of MDK-inhibiting therapies including FDA-approved ALK inhibitors in neuroendocrine cancers.
- Open Access
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Fig. S7 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S7 shows effect of PD-1 inhibition on treatment of tumors containing a B2m-/- population.
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Fig. S7 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S7 shows effect of PD-1 inhibition on treatment of tumors containing a B2m-/- population.
- Open Access
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Fig. S8 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S8 shows CD8 T cell-dependent control of tumors containing a B2m-/- population with inactivated Rnf31 and Atg5 genes.
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Fig. S8 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S8 shows CD8 T cell-dependent control of tumors containing a B2m-/- population with inactivated Rnf31 and Atg5 genes.
- Open Access
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Fig. S3 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S3 generation of tumor cell lines with multiple gene edits.
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Fig. S3 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S3 generation of tumor cell lines with multiple gene edits.
- Open Access
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Fig. S5 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S5 shows association of Atg5-KO and Rnf31/Atg5-dKO signatures with patient survival.
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Fig. S5 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S5 shows association of Atg5-KO and Rnf31/Atg5-dKO signatures with patient survival.
- Open Access
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Fig. S10 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S10 shows pharmacological sensitization to T cell cytokines in vitro and in vivo.
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Fig. S10 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S10 shows pharmacological sensitization to T cell cytokines in vitro and in vivo.
- Open Access
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Fig. S6 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S6 shows functional links between autophagy and cytokine signaling pathways.
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Fig. S6 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S6 shows functional links between autophagy and cytokine signaling pathways.
- Open Access
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Fig. S11 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S11 shows pharmacological sensitization of human melanoma cell line to T cell cytokines.
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Fig. S11 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S11 shows pharmacological sensitization of human melanoma cell line to T cell cytokines.
- Open Access
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Fig. S4 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S4 shows differentially expressed genes revealed by RNA-seq analysis.
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Fig. S4 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Fig. S4 shows differentially expressed genes revealed by RNA-seq analysis.
- Open Access
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Table S1 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Table S1: # Raw count of the genome-wide CRISPR screen for identifying T cell-mediated tumor killing in B2m-deficient cells. # MAGeCK results (Gene summary) for the genome-wide CRISPR screen from the B2m-deficient cells. # Gene log2FC in CRISPR screens from B2m-WT cells and B2m-KO cells. ## Common regulators of T cell mediated tumor killing in both B2m-WT and B2m-KO cells
- 11 December 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S1 from Addressing Tumor Heterogeneity by Sensitizing Resistant Cancer Cells to T cell–Secreted Cytokines
Supplementary Table S1: # Raw count of the genome-wide CRISPR screen for identifying T cell-mediated tumor killing in B2m-deficient cells. # MAGeCK results (Gene summary) for the genome-wide CRISPR screen from the B2m-deficient cells. # Gene log2FC in CRISPR screens from B2m-WT cells and B2m-KO cells. ## Common regulators of T cell mediated tumor killing in both B2m-WT and B2m-KO cells