Nicholas Francis Grigoropoulos
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View article: 1285 Spatial organization of MYC+BCL2+BCL6- cells predicts survival and defines immunosuppressive microenvironments in diffuse large B-cell lymphoma
1285 Spatial organization of MYC+BCL2+BCL6- cells predicts survival and defines immunosuppressive microenvironments in diffuse large B-cell lymphoma Open
View article: 673 | PROGNOSTIC FACTORS AND OUTCOMES IN PATIENTS WITH LATE RELAPSE DIFFUSE LARGE B‐CELL LYMPHOMA TREATED WITH SECOND‐LINE CHEMOTHERAPY AND AUTOLOGOUS STEM CELL TRANSPLANTATION
673 | PROGNOSTIC FACTORS AND OUTCOMES IN PATIENTS WITH LATE RELAPSE DIFFUSE LARGE B‐CELL LYMPHOMA TREATED WITH SECOND‐LINE CHEMOTHERAPY AND AUTOLOGOUS STEM CELL TRANSPLANTATION Open
View article: 675 | A COMBINED EASIX‐IPI SCORE IMPROVES THE PROGNOSTIC STRATIFICATION OF NEWLY DIAGNOSED DIFFUSE LARGE B‐CELL LYMPHOMA
675 | A COMBINED EASIX‐IPI SCORE IMPROVES THE PROGNOSTIC STRATIFICATION OF NEWLY DIAGNOSED DIFFUSE LARGE B‐CELL LYMPHOMA Open
View article: 204 | AN EXPLAINABLE ARTIFICIAL INTELLIGENCE mDELRelapseNet MODEL TO PREDICT RELAPSE IN DIFFUSE LARGE B‐CELL LYMPHOMA BASED ON THE SPATIAL ORGANIZATION OF MYC+BCL2+BCL6− Cells
204 | AN EXPLAINABLE ARTIFICIAL INTELLIGENCE mDELRelapseNet MODEL TO PREDICT RELAPSE IN DIFFUSE LARGE B‐CELL LYMPHOMA BASED ON THE SPATIAL ORGANIZATION OF MYC+BCL2+BCL6− Cells Open
View article: An <i>in‐cell</i> helicase reporter system for quantifying <scp>DDX3X</scp> and <scp>DDX3Y</scp> activities
An <i>in‐cell</i> helicase reporter system for quantifying <span>DDX3X</span> and <span>DDX3Y</span> activities Open
Genome sequencing has identified numerous mutations in the DEAD‐box RNA helicases, DDX3X and DDX3Y , associated with cancer and other diseases, but monitoring of their functional consequences remains a challenge. Conventional helicase assa…
View article: Supplementary figures1 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy
Supplementary figures1 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy Open
Supplementary Data
View article: Data from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy
Data from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy Open
Purpose:DNA methylation alterations are widespread in acute myelogenous leukemia (AML) and myelodysplastic syndrome (MDS), some of which appear to have evolved independently of somatic mutations in epigenetic regulators. Although the prese…
View article: Supplementary Tables 1 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy
Supplementary Tables 1 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy Open
Supplementary Tables
View article: Supplementary Table 5 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy
Supplementary Table 5 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy Open
Supplementary Table 5
View article: Supplementary Tables 1 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy
Supplementary Tables 1 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy Open
Supplementary Tables
View article: Supplementary figures1 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy
Supplementary figures1 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy Open
Supplementary Data
View article: Supplementary Table 5 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy
Supplementary Table 5 from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy Open
Supplementary Table 5
View article: Data from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy
Data from A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy Open
Purpose:DNA methylation alterations are widespread in acute myelogenous leukemia (AML) and myelodysplastic syndrome (MDS), some of which appear to have evolved independently of somatic mutations in epigenetic regulators. Although the prese…
View article: A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy
A Pre-Leukemic DNA Methylation Signature in Healthy Individuals at Higher Risk for Developing Myeloid Malignancy Open
Purpose: DNA methylation alterations are widespread in acute myelogenous leukemia (AML) and myelodysplastic syndrome (MDS), some of which appear to have evolved independently of somatic mutations in epigenetic regulators. Although the pres…
View article: Evolving therapeutic landscape of diffuse large B-cell lymphoma: challenges and aspirations
Evolving therapeutic landscape of diffuse large B-cell lymphoma: challenges and aspirations Open
View article: Figure 2 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 2 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Prognostic significance of subpopulations after R-CHOP therapy. A, Pooled univariate Cox PH model analysis for MYC, BCL2, and BCL6 single oncogene and subpopulations percentage extent as predictors of OS across multiple DLBCL cohort…
View article: Figure 4 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 4 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Validation of prognostic significance of the M+2+6− subpopulation metric in gene-expression datasets. A, Distribution of single oncogene positivity in DLBCL cohorts as assessed by mfIHC (see Supplementary Fig. S9A and S9B). B,
View article: Figure 1 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 1 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Quantitative single-cell analysis of MYC, BCL2, and BCL6 protein expression in B cells in nonmalignant tissues and diffuse large B-cell lymphoma. A, Schematic workflow of a quantitative digital pathology experiment. B, Spectr…
View article: Table 1 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Table 1 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Multivariate analysis of continuous M+2+6− percentage extent at 5% increments as a predictor of OS in the NUH, SGH, and MDA cohorts of DLBCL (Cox proportional hazards model)
View article: Figure 5 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 5 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Transcriptomic analysis of M+2+6− high cases and potential role of CCND2. A, Correlation of observed M+2+6− percentage extent in the BCA cohort with the cell-of-origin (COO) DLBCL90-COO signature. Bonferroni corrected Kruskal…
View article: Figure 6 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 6 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Evaluation of M+2+6− cells in scRNA-seq datasets of DLBCL. A, Uniform Manifold Approximation and Projection (UMAP) of malignant B cells from the Roider and Steen cohorts. B, Proportion of subpopulations across samples and ann…
View article: Supplementary appendix from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Supplementary appendix from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Supplementary methods. Supplementary Figure 1. Phenotyping of B-cells in non-malignant tissues. A, Quantitation of marker positivity across ten tonsil and two reactive lymph node samples (rLN). Analysis is spatially resolved between the GC…
View article: Table 1 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Table 1 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Multivariate analysis of continuous M+2+6− percentage extent at 5% increments as a predictor of OS in the NUH, SGH, and MDA cohorts of DLBCL (Cox proportional hazards model)
View article: Figure 6 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 6 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Evaluation of M+2+6− cells in scRNA-seq datasets of DLBCL. A, Uniform Manifold Approximation and Projection (UMAP) of malignant B cells from the Roider and Steen cohorts. B, Proportion of subpopulations across samples and ann…
View article: Figure 3 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 3 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
MYC, BCL2, and BCL6 protein coexpression in DLBCL can be inferred from individual marker data. A, Schematic of possible relationships between expression of three oncogenes in a population of cells. The distribution of these oncogene…
View article: Figure 5 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 5 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Transcriptomic analysis of M+2+6− high cases and potential role of CCND2. A, Correlation of observed M+2+6− percentage extent in the BCA cohort with the cell-of-origin (COO) DLBCL90-COO signature. Bonferroni corrected Kruskal…
View article: Supplementary tables from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Supplementary tables from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Supplementary table 1. Per-patient mfIHC MYC, BCL2 and BCL6 single oncogene and subpopulation scores for normal tonsil tissue and reactive lymph node tissue. Supplementary table 2. Per-patient mfIHC MYC, BCL2 and BCL6 single oncogene and s…
View article: Figure 3 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 3 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
MYC, BCL2, and BCL6 protein coexpression in DLBCL can be inferred from individual marker data. A, Schematic of possible relationships between expression of three oncogenes in a population of cells. The distribution of these oncogene…
View article: Supplementary tables from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Supplementary tables from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Supplementary table 1. Per-patient mfIHC MYC, BCL2 and BCL6 single oncogene and subpopulation scores for normal tonsil tissue and reactive lymph node tissue. Supplementary table 2. Per-patient mfIHC MYC, BCL2 and BCL6 single oncogene and s…
View article: Figure 2 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma
Figure 2 from Patterns of Oncogene Coexpression at Single-Cell Resolution Influence Survival in Lymphoma Open
Prognostic significance of subpopulations after R-CHOP therapy. A, Pooled univariate Cox PH model analysis for MYC, BCL2, and BCL6 single oncogene and subpopulations percentage extent as predictors of OS across multiple DLBCL cohort…