Joseph Johnson
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View article: Self-Normalizing Multi-Omics Neural Network for Pan-Cancer Prognostication
Self-Normalizing Multi-Omics Neural Network for Pan-Cancer Prognostication Open
Prognostic markers such as overall survival (OS) and tertiary lymphoid structure (TLS) ratios, alongside diagnostic signatures like primary cancer-type classification, provide critical information for treatment selection, risk stratificati…
View article: Figure S7 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
Figure S7 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging Open
Supplementary figure S7 with legends
View article: Figure S1 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
Figure S1 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging Open
Supplementary figure S1 with legends
View article: Figure S4 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
Figure S4 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging Open
Supplementary figure S4 with legends
View article: Figure S6 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
Figure S6 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging Open
Supplementary figure S6 with legends
View article: Data from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
Data from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging Open
Cancers evolve in a dynamic ecosystem. Thus, characterizing the ecological dynamics of cancer is crucial to understanding cancer evolution, which can lead to the discovery of biomarkers to predict disease progression. Ductal carcinoma in s…
View article: Figure S2 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
Figure S2 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging Open
Supplementary figure S2 with legends
View article: Figure S3 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
Figure S3 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging Open
Supplementary figure S3 with legends
View article: Figure S5 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging
Figure S5 from Eco-Evolutionary Guided Pathomic Analysis Detects Biomarkers to Predict Ductal Carcinoma <i>In Situ</i> Upstaging Open
Supplementary figure S5 with legends
View article: Table S19 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S19 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 19: Summary of number of PR-stained cores per patient (by cohort).
View article: Table S15 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S15 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 15: Summary of PAM50 types by HR/HER2 status and cohort.
View article: Table S9 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S9 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 9: Comparison of derived Clinical HR calls vs. derived TMA stain evaluations.
View article: Figure S2 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Figure S2 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Figure 2
View article: Table S13 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S13 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 13: Summary of risk categorizations Ki-67 across cohorts.
View article: Table S4 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S4 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 4: The antibodies used for immunohistochemistry.
View article: Table S2 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S2 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 2: Outcomes for ME-BRTMA by cohort.
View article: Figure S4 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Figure S4 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Figure 4
View article: Table S20 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S20 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 20: Agreement of tumor cores HER2 scores for same patient in TMA.
View article: Figure S1 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Figure S1 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Figure 1
View article: Table S16 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S16 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 16: Agreement of ER scores of tumor cores for same patient in TMA.
View article: Figure 3 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Figure 3 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
TNBC is most common in the NHB cohort. A, Stacked bar chart showing the fraction of patients with each level of HER2 expression among the four cohorts (P = 0.387, χ2 test). B, Stacked bar chart showing that the HR−/HER2− (triple-negative) …
View article: Table S7 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S7 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 7: Comparison of Clinical ER calls vs. TMA stain evaluations (simplified).
View article: Table S6 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S6 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 6: Analysis of all IHC scoring values of the 371 tumor cores on the TMA by cohort.
View article: Table S3 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S3 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 3: Summary of all 610 cores of the TMA.
View article: Data from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Data from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Breast cancer is a leading cause of cancer-related mortality among women worldwide and is known to have higher mortality among women with African ancestry. Herein, we describe the creation and characterization of a multiethnic breast cance…
View article: Table S11 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Table S11 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
Supplementary Table 11: Summary of HR/HER2 stain evaluation by cohort.
View article: Figure 5 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida
Figure 5 from Creation and Characterization of a Breast Cancer Tissue Microarray Including Black and White Patients from Florida and Hispanic Patients from Puerto Rico and Florida Open
PAM50 analysis shows that basal-like subtype is most frequent among NHBs. Stacked bar chart shows the results of PAM50 gene expression analysis on patients represented on the ME-BrTMA with available RNA sequencing data. The data show that …