Nicole D. Vincelette
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Nicole D. Vincelette has a total of 145 co-authors. Here are the top co-authors by number of shared publications:
- Seongseok Yun
H. Lee Moffitt Cancer Center and Research Institute
49 shared publications - Andrew Kuykendall
Moffitt Cancer Center, Tampa, FL
46 shared publications - Onyee Chan
Department of Malignant Hematology, Moffitt Cancer Center, Tampa, USA
46 shared publications - Rami Komrokji
Department of Malignant Hematology H. Lee Moffitt Cancer Center Tampa Florida USA
45 shared publications - Jungwon Moon
H. Lee Moffitt Cancer Center 1 Malignant Hematology Department Tampa, Florida
44 shared publications - Ling Zhang
Department of Pathology, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA
44 shared publications
Latest Publications
- Open Access
Targeting TGFBR1 with the Investigational Inhibitor TP-6379 Improves Hematopoiesis in Low-Risk MDS Ex Vivo
Myelodysplastic syndrome (MDS) is characterized by S100A9-mediated constitutive innate immune activation that leads to the inflammatory death of hematopoietic stem/progenitor cells (HSPCs). This suppressive microenvironment includes the secretion of TGFβ and is phenocopied by the S100A9-transgenic (Tg) mice. However, the role of the different ALK/TGFB receptors in hematopoiesis or in S100A9-mediated inflammation is not understood. Primary low-risk MDS bone marrow mononuclear cells (BM-MNCs) were analyzed in vitro for hematopoietic restoration by an ALK4/ALK5 inhibitor (Vactosertib), an ALK2 inhibitor (TP-0184/Itacnosertib) and an ALK5/TGFBR1-specific inhibitor (TP-6379). Specimens significantly responded to TP-6379 treatment restoring hematopoiesis, with a positive bias for specimens harboring spliceosomal mutations. We previously shown that S100A9 drives phenotypic pathology of MDS, and it has been known to induce and cooperate with TGFβ in this disease. Hence, we treated healthy BM-MNC with recombinant human (rh) S100A9 where TP-6379 rescued the S100A9-reduced hematopoiesis. The effect of TP-6379 was validated in vivo in S100A9-Tg mice. Similar results were obtained with K562 cells, with or without the knock-in (KI) mutation in SF3B1, with strong sensitivity to rhS100A9 that was overcome by TP-6379. Hence, directly targeting TGFBR1/ALK5 with TP-6379 restores healthy hematopoiesis in low-risk MDS preclinical models.
Open AccessTargeting TGFBR1 with the Investigational Inhibitor TP-6379 Improves Hematopoiesis in Low-Risk MDS Ex Vivo
Myelodysplastic syndrome (MDS) is characterized by S100A9-mediated constitutive innate immune activation that leads to the inflammatory death of hematopoietic stem/progenitor cells (HSPCs). This suppressive microenvironment includes the secretion of TGFβ and is phenocopied by the S100A9-transgenic (Tg) mice. However, the role of the different ALK/TGFB receptors in hematopoiesis or in S100A9-mediated inflammation is not understood. Primary low-risk MDS bone marrow mononuclear cells (BM-MNCs) were analyzed in vitro for hematopoietic restoration by an ALK4/ALK5 inhibitor (Vactosertib), an ALK2 inhibitor (TP-0184/Itacnosertib) and an ALK5/TGFBR1-specific inhibitor (TP-6379). Specimens significantly responded to TP-6379 treatment restoring hematopoiesis, with a positive bias for specimens harboring spliceosomal mutations. We previously shown that S100A9 drives phenotypic pathology of MDS, and it has been known to induce and cooperate with TGFβ in this disease. Hence, we treated healthy BM-MNC with recombinant human (rh) S100A9 where TP-6379 rescued the S100A9-reduced hematopoiesis. The effect of TP-6379 was validated in vivo in S100A9-Tg mice. Similar results were obtained with K562 cells, with or without the knock-in (KI) mutation in SF3B1, with strong sensitivity to rhS100A9 that was overcome by TP-6379. Hence, directly targeting TGFBR1/ALK5 with TP-6379 restores healthy hematopoiesis in low-risk MDS preclinical models.
- Open Access
Hematopoietic mosaic chromosomal alterations are pleiotropic drivers of inflammaging, multimorbidity, and mortality
Mosaic chromosomal alterations (mCAs) are a prevalent but poorly understood form of clonal hematopoiesis (CH). Whether mCAs contribute to disease independently of CHIP, and whether their large-scale genomic effects can be resolved to actionable targets, remain unknown. In 452,594 UK Biobank participants, we show that mCAs confer multimorbidity and mortality risk independent of CHIP. Notably, mCA-CHIP co-occurrence defines a very high-risk clonal state with synergistically elevated mortality, identifying a population not captured by CHIP screening alone. To resolve large mCAs to specific disease mechanisms, a cytoband-level mapping framework was developed that links mCAs to discrete genomic loci and candidate effector genes. Functional validation using single-cell transcriptomics and mouse models prioritized MYC (chr8 gain) and S100A9 (chr1 gain) as key drivers of systemic inflammation and multiorgan pathology. These findings establish mCAs as independent, synergistic, and genetically-resolvable drivers of age-related disease, with immediate implications for screening, risk stratification, and therapeutic development. SIGNIFICANCE: Hematopoietic mCAs drive age-related multimorbidity and mortality independently of CHIP, while co-occurrence defines a synergistically high-risk clonal state undetectable by standard screening. Integrative cytoband-level mapping and functional validation resolve large chromosomal alterations to discrete effector genes, enabling mechanistic risk stratification and informing precision surveillance and targeted therapeutic strategies.
Open AccessHematopoietic mosaic chromosomal alterations are pleiotropic drivers of inflammaging, multimorbidity, and mortality
Mosaic chromosomal alterations (mCAs) are a prevalent but poorly understood form of clonal hematopoiesis (CH). Whether mCAs contribute to disease independently of CHIP, and whether their large-scale genomic effects can be resolved to actionable targets, remain unknown. In 452,594 UK Biobank participants, we show that mCAs confer multimorbidity and mortality risk independent of CHIP. Notably, mCA-CHIP co-occurrence defines a very high-risk clonal state with synergistically elevated mortality, identifying a population not captured by CHIP screening alone. To resolve large mCAs to specific disease mechanisms, a cytoband-level mapping framework was developed that links mCAs to discrete genomic loci and candidate effector genes. Functional validation using single-cell transcriptomics and mouse models prioritized MYC (chr8 gain) and S100A9 (chr1 gain) as key drivers of systemic inflammation and multiorgan pathology. These findings establish mCAs as independent, synergistic, and genetically-resolvable drivers of age-related disease, with immediate implications for screening, risk stratification, and therapeutic development. SIGNIFICANCE: Hematopoietic mCAs drive age-related multimorbidity and mortality independently of CHIP, while co-occurrence defines a synergistically high-risk clonal state undetectable by standard screening. Integrative cytoband-level mapping and functional validation resolve large chromosomal alterations to discrete effector genes, enabling mechanistic risk stratification and informing precision surveillance and targeted therapeutic strategies.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figures S5-S9 from Trisomy 8 Defines a Distinct Subtype of Myeloproliferative Neoplasms Driven by the MYC–Alarmin Axis
Figure S5. Changes in signaling in BM of trisomy 8+ TN-MF patient and MYC MF mice. Figure S6. Effects of silencing S100a9 in MYC-driven MF or overexpression of S100a9. Figure S7. Effects of inhibition of S100a9 or MYC in MYC-driven MF. Figure S8. Synthesis and Characterization of Tasquinimod. Figure S9. Synthesis and Characterization of MYCi975.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figures S5-S9 from Trisomy 8 Defines a Distinct Subtype of Myeloproliferative Neoplasms Driven by the MYC–Alarmin Axis
Figure S5. Changes in signaling in BM of trisomy 8+ TN-MF patient and MYC MF mice. Figure S6. Effects of silencing S100a9 in MYC-driven MF or overexpression of S100a9. Figure S7. Effects of inhibition of S100a9 or MYC in MYC-driven MF. Figure S8. Synthesis and Characterization of Tasquinimod. Figure S9. Synthesis and Characterization of MYCi975.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table 7 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Table 7. Targeted Next Generation Sequencing (NGS) panels used for the Moffitt Cancer Center, Nice University Hospital, and University of Maryland Cohorts.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 7 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Table 7. Targeted Next Generation Sequencing (NGS) panels used for the Moffitt Cancer Center, Nice University Hospital, and University of Maryland Cohorts.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table 2 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Table 2. Predictors of complete response with (CR) or without (CRi) count recovery.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 2 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Table 2. Predictors of complete response with (CR) or without (CRi) count recovery.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 10 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Figure 10. Nested Bootstrap Analysis.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 10 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Figure 10. Nested Bootstrap Analysis.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 1 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Figure 1. Study Flow and Model Development Pipeline.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 1 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Figure 1. Study Flow and Model Development Pipeline.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 12 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Figure 12. Comparison of Risk Group Classifications Between the Moffitt Model vs. Other Prognostic Models.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 12 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Figure 12. Comparison of Risk Group Classifications Between the Moffitt Model vs. Other Prognostic Models.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table 3 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Table 3. Predictors of Overall Survival.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 3 from Prognostic Model Combining Mutational and Cytogenetic Profiles in Acute Myeloid Leukemia Treated with Venetoclax and Hypomethylating Agents
Supplementary Table 3. Predictors of Overall Survival.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S8 from Trisomy 8 Defines a Distinct Subtype of Myeloproliferative Neoplasms Driven by the MYC–Alarmin Axis
Comparison of gene expression profiles of Mx1-Cre+/-;Rosa26LSL-MYC/LSL-MYC vs. Mx1-Cre+/-;Rosa26+/+ mouse.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S8 from Trisomy 8 Defines a Distinct Subtype of Myeloproliferative Neoplasms Driven by the MYC–Alarmin Axis
Comparison of gene expression profiles of Mx1-Cre+/-;Rosa26LSL-MYC/LSL-MYC vs. Mx1-Cre+/-;Rosa26+/+ mouse.