Outcome
Type |
Measure |
Description |
Time frame |
Safety issue |
Primary |
Immune cell frequency (relative abundance, cells per parental cell) |
Will be assessed by high dimensional flow cytometry. One-way analysis of variance (ANOVAs) and non-parametric Kruskal-Wallis tests will be used to compare relative abundances across patient groups and over the course of therapy. Wilcoxon rank-sum test will be used to examine the association between each biomarker of each sample collection and pathological response as appropriate. Odds ratios and 95% conference intervals will be calculated to measure strength of associations. P-values < 0.05 will be considered statistically significant. No adjustment for multiple comparisons will be used in view of the exploratory nature of this analysis. |
From date of initiation of CDK4/6 inhibitor (either ribociclib or palbociclib) to disease progression (clinical or imaging), or, up to a maximum of 5 years |
|
Secondary |
Single-cell gene expression |
Expected to identify > 30 myeloid and lymphocyte immune subsets. Gene expression relating to maturation and function will be focused on in myeloid subsets especially. Will be assessed by single-cell ribonucleic acid (RNA) sequencing. Immune cell type identification and gene expression patterns will be identified by unsupervised clustering and non-linear dimensionality reduction approaches. Cluster biomarkers will be identified by Seurat for annotating cell types (or functions) for each cell. Within each cluster, will compare the cellular differences in RNA expression across response and non-response cohorts of tumor and peripheral blood mononuclear cell (PBMC) samples by built-in MAST package and Wilcoxon rank-sum test, respectively. Single-cell trajectory analysis for single-cell RNA expression profile will be implemented by Monocle 3 to discover the transitions of cell states in the blood over the course of treatment. |
From date of initiation of CDK4/6 inhibitor (either ribociclib or palbociclib) to disease progression (clinical or imaging), or, up to a maximum of 5 years |
|
Secondary |
Psuedotime gene trajectory |
Will be assessed by multiplex immunofluorescence. Cell classifications based on panel design will be created for all cell objects detected in whole slide images of tissues. Tissue segmentation for tumor and stroma areas will be created. Densities of cell classifications within whole tissue, tumor areas, and stroma areas will be calculated. Neighborhood analysis, based off 25micron radius, will be examined using Cytomap to identify patterns of cell-cell interactions within tissues. All quantitative image analysis data between pre-treatment and post-treatment samples will be compared in the context of clinical response to CDK4/6i by Wilcoxon rank-sum tests. |
From date of initiation of CDK4/6 inhibitor (either ribociclib or palbociclib) to disease progression (clinical or imaging), or, up to a maximum of 5 years |
|
Secondary |
Cells per mm^2 tissue |
Will be assessed by multiplex immunofluorescence. Cell classifications based on panel design will be created for all cell objects detected in whole slide images of tissues. Tissue segmentation for tumor and stroma areas will be created. Densities of cell classifications within whole tissue, tumor areas, and stroma areas will be calculated. Neighborhood analysis, based off 25micron radius, will be examined using Cytomap to identify patterns of cell-cell interactions within tissues. All quantitative image analysis data between pre-treatment and post-treatment samples will be compared in the context of clinical response to CDK4/6i by Wilcoxon rank-sum tests. |
From date of initiation of CDK4/6 inhibitor (either ribociclib or palbociclib) to disease progression (clinical or imaging), or, up to a maximum of 5 years |
|
Secondary |
Cells per mm^2 cancer island |
Will be assessed by multiplex immunofluorescence. Cell classifications based on panel design will be created for all cell objects detected in whole slide images of tissues. Tissue segmentation for tumor and stroma areas will be created. Densities of cell classifications within whole tissue, tumor areas, and stroma areas will be calculated. Neighborhood analysis, based off 25micron radius, will be examined using Cytomap to identify patterns of cell-cell interactions within tissues. All quantitative image analysis data between pre-treatment and post-treatment samples will be compared in the context of clinical response to CDK4/6i by Wilcoxon rank-sum tests. |
From date of initiation of CDK4/6 inhibitor (either ribociclib or palbociclib) to disease progression (clinical or imaging), or, up to a maximum of 5 years |
|
Secondary |
Average cell-cell distances (within neighborhood) |
Will be assessed by multiplex immunofluorescence. Cell classifications based on panel design will be created for all cell objects detected in whole slide images of tissues. Tissue segmentation for tumor and stroma areas will be created. Densities of cell classifications within whole tissue, tumor areas, and stroma areas will be calculated. Neighborhood analysis, based off 25micron radius, will be examined using Cytomap to identify patterns of cell-cell interactions within tissues. All quantitative image analysis data between pre-treatment and post-treatment samples will be compared in the context of clinical response to CDK4/6i by Wilcoxon rank-sum tests. |
From date of initiation of CDK4/6 inhibitor (either ribociclib or palbociclib) to disease progression (clinical or imaging), or, up to a maximum of 5 years |
|
Secondary |
Cells per mm^2 stroma |
Will be assessed by multiplex immunofluorescence. Cell classifications based on panel design will be created for all cell objects detected in whole slide images of tissues. Tissue segmentation for tumor and stroma areas will be created. Densities of cell classifications within whole tissue, tumor areas, and stroma areas will be calculated. Neighborhood analysis, based off 25micron radius, will be examined using Cytomap to identify patterns of cell-cell interactions within tissues. All quantitative image analysis data between pre-treatment and post-treatment samples will be compared in the context of clinical response to CDK4/6i by Wilcoxon rank-sum tests. |
From date of initiation of CDK4/6 inhibitor (either ribociclib or palbociclib) to disease progression (clinical or imaging), or, up to a maximum of 5 years |
|
Secondary |
Number of core cells with cell(s) in neighborhood |
Will be assessed by multiplex immunofluorescence. Cell classifications based on panel design will be created for all cell objects detected in whole slide images of tissues. Tissue segmentation for tumor and stroma areas will be created. Densities of cell classifications within whole tissue, tumor areas, and stroma areas will be calculated. Neighborhood analysis, based off 25micron radius, will be examined using Cytomap to identify patterns of cell-cell interactions within tissues. All quantitative image analysis data between pre-treatment and post-treatment samples will be compared in the context of clinical response to CDK4/6i by Wilcoxon rank-sum tests. |
From date of initiation of CDK4/6 inhibitor (either ribociclib or palbociclib) to disease progression (clinical or imaging), or, up to a maximum of 5 years |
|
Secondary |
Number of spatial clusters |
Will be assessed by multiplex immunofluorescence. Cell classifications based on panel design will be created for all cell objects detected in whole slide images of tissues. Tissue segmentation for tumor and stroma areas will be created. Densities of cell classifications within whole tissue, tumor areas, and stroma areas will be calculated. Neighborhood analysis, based off 25micron radius, will be examined using Cytomap to identify patterns of cell-cell interactions within tissues. All quantitative image analysis data between pre-treatment and post-treatment samples will be compared in the context of clinical response to CDK4/6i by Wilcoxon rank-sum tests. |
From date of initiation of CDK4/6 inhibitor (either ribociclib or palbociclib) to disease progression (clinical or imaging), or, up to a maximum of 5 years |
|