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View article: Correction: Park et al. Defining and Addressing Research Priorities in Cancer Cachexia through Transdisciplinary Collaboration. Cancers 2024, 16, 2364
Correction: Park et al. Defining and Addressing Research Priorities in Cancer Cachexia through Transdisciplinary Collaboration. Cancers 2024, 16, 2364 Open
Dr [...]
View article: Defining and Addressing Research Priorities in Cancer Cachexia through Transdisciplinary Collaboration
Defining and Addressing Research Priorities in Cancer Cachexia through Transdisciplinary Collaboration Open
For many patients, the cancer continuum includes a syndrome known as cancer-associated cachexia (CAC), which encompasses the unintended loss of body weight and muscle mass, and is often associated with fat loss, decreased appetite, lower t…
View article: Data from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity
Data from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity Open
Inactivation of the retinoblastoma (Rb) tumor suppressor protein is widespread in human cancers. Inactivation of Rb is thought to be initiated by association with Raf-1 (C-Raf) kinase, and here we determined how RRD-251, a disruptor of the…
View article: Data from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity
Data from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity Open
Inactivation of the retinoblastoma (Rb) tumor suppressor protein is widespread in human cancers. Inactivation of Rb is thought to be initiated by association with Raf-1 (C-Raf) kinase, and here we determined how RRD-251, a disruptor of the…
View article: Supplementary Figures 1 - 2, Tables 1 - 2 from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity
Supplementary Figures 1 - 2, Tables 1 - 2 from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity Open
PDF file - 1279K, Supplementary Figure 1. PANC-1 and Mia-PaCa cells are highly sensitive to RRD-251. Supplementary Figure 2. RRD-251 enhances the pro-apoptotic effects of gemcitabine. TABLE 1. Varying sensitivity of pancreatic cancer cells…
View article: Supplementary Figures 1 - 2, Tables 1 - 2 from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity
Supplementary Figures 1 - 2, Tables 1 - 2 from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity Open
PDF file - 1279K, Supplementary Figure 1. PANC-1 and Mia-PaCa cells are highly sensitive to RRD-251. Supplementary Figure 2. RRD-251 enhances the pro-apoptotic effects of gemcitabine. TABLE 1. Varying sensitivity of pancreatic cancer cells…
View article: Data from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Data from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
It is well-recognized that solid tumors are genomically, anatomically, and physiologically heterogeneous. In general, more heterogeneous tumors have poorer outcomes, likely due to the increased probability of harboring therapy-resistant ce…
View article: Supplementary Table S6 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S6 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Similarity index based on the weighted moving/sliding window was used to quantify the agreement for all wrong classifications between the habitats-map derived from MRI (5-parameters) and histology. The correct habitats from histological ma…
View article: Supplementary Table S5 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S5 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Similarity index based on the weighted moving/sliding window was used to quantify the agreement between the habitat-maps derived from MRI and histology. MRI-habitat maps were generated by clustering five MRI-parameters ((T2-map, T2*-map, S…
View article: Supplementary Figures from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Figures from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
SF1: Pimonidazole and carbonic anhydrase IX (CA-IX) staining patterns in 4T1 and MDA-MB-231 breast tumors; SF2: Breast tumor stained with hematoxylin & eosin (H&E), showing different stages of necrosis; SF3: Representative examples of the …
View article: Supplementary Table S1 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S1 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Similarity index based on the weighted moving/sliding window was used to quantify the agreement between the habitat-maps derived from MRI and histology. MRI habitat maps were generated by clustering six MRI-parameters (T2-map, T2*-map, App…
View article: Supplementary Table S6 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S6 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Similarity index based on the weighted moving/sliding window was used to quantify the agreement for all wrong classifications between the habitats-map derived from MRI (5-parameters) and histology. The correct habitats from histological ma…
View article: Supplementary Table S4 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S4 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Comparison of each MRI-parameter voxel values for MRI-habitat maps created by clustering 5 parameters (T2-map, T2*-map, Slope, Area under the curve (AUC) and time to max (TTM)) between habitats (clusters) using One-way analysis of variance…
View article: Supplementary Table S3 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S3 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Comparison of each MRI-parameter voxel values (T2-map, T2*-map, Apparent diffusion coefficient (ADC), Slope, Area under the curve (AUC) and time to max (TTM)) between habitats (clusters) using One-way analysis of variance (ANOVA) followed …
View article: Supplementary Figures from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Figures from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
SF1: Pimonidazole and carbonic anhydrase IX (CA-IX) staining patterns in 4T1 and MDA-MB-231 breast tumors; SF2: Breast tumor stained with hematoxylin & eosin (H&E), showing different stages of necrosis; SF3: Representative examples of the …
View article: Supplementary Table S1 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S1 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Similarity index based on the weighted moving/sliding window was used to quantify the agreement between the habitat-maps derived from MRI and histology. MRI habitat maps were generated by clustering six MRI-parameters (T2-map, T2*-map, App…
View article: Supplementary Table S2 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S2 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Similarity index based on the weighted moving/sliding window was used to quantify the agreement for all incorrect classifications between the habitat-maps derived from MRI (6-parameters) and histology. The correct habitats from histologica…
View article: Supplementary Table S2 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S2 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Similarity index based on the weighted moving/sliding window was used to quantify the agreement for all incorrect classifications between the habitat-maps derived from MRI (6-parameters) and histology. The correct habitats from histologica…
View article: Supplementary Table S3 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S3 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Comparison of each MRI-parameter voxel values (T2-map, T2*-map, Apparent diffusion coefficient (ADC), Slope, Area under the curve (AUC) and time to max (TTM)) between habitats (clusters) using One-way analysis of variance (ANOVA) followed …
View article: Supplementary Table S5 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S5 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Similarity index based on the weighted moving/sliding window was used to quantify the agreement between the habitat-maps derived from MRI and histology. MRI-habitat maps were generated by clustering five MRI-parameters ((T2-map, T2*-map, S…
View article: Supplementary Material and Methods from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Material and Methods from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Supplementary Material and Methods
View article: Supplementary Material and Methods from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Material and Methods from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Supplementary Material and Methods
View article: Supplementary Table S4 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Supplementary Table S4 from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
Comparison of each MRI-parameter voxel values for MRI-habitat maps created by clustering 5 parameters (T2-map, T2*-map, Slope, Area under the curve (AUC) and time to max (TTM)) between habitats (clusters) using One-way analysis of variance…
View article: Data from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models
Data from Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models Open
It is well-recognized that solid tumors are genomically, anatomically, and physiologically heterogeneous. In general, more heterogeneous tumors have poorer outcomes, likely due to the increased probability of harboring therapy-resistant ce…
View article: Data from β-Arrestin-1 Mediates Nicotine-Induced Metastasis through E2F1 Target Genes That Modulate Epithelial–Mesenchymal Transition
Data from β-Arrestin-1 Mediates Nicotine-Induced Metastasis through E2F1 Target Genes That Modulate Epithelial–Mesenchymal Transition Open
Cigarette smoking is a major risk factor in the development of non–small cell lung cancer (NSCLC), which accounts for 80% of all lung cancers. Nicotine, the major addictive component of tobacco smoke, can induce proliferation, invasion, an…
View article: Data from β-Arrestin-1 Mediates Nicotine-Induced Metastasis through E2F1 Target Genes That Modulate Epithelial–Mesenchymal Transition
Data from β-Arrestin-1 Mediates Nicotine-Induced Metastasis through E2F1 Target Genes That Modulate Epithelial–Mesenchymal Transition Open
Cigarette smoking is a major risk factor in the development of non–small cell lung cancer (NSCLC), which accounts for 80% of all lung cancers. Nicotine, the major addictive component of tobacco smoke, can induce proliferation, invasion, an…
View article: Data from A Small Molecule Disruptor of Rb/Raf-1 Interaction Inhibits Cell Proliferation, Angiogenesis, and Growth of Human Tumor Xenografts in Nude Mice
Data from A Small Molecule Disruptor of Rb/Raf-1 Interaction Inhibits Cell Proliferation, Angiogenesis, and Growth of Human Tumor Xenografts in Nude Mice Open
Although it is well established that cyclin-dependent kinases phosphorylate and inactivate Rb, the Raf-1 kinase physically interacts with Rb and initiates the phosphorylation cascade early in the cell cycle. We have identified an orally ac…
View article: Supplementary Table 1 from Regulation of Vascular Endothelial Growth Factor Receptors by Rb and E2F1: Role of Acetylation
Supplementary Table 1 from Regulation of Vascular Endothelial Growth Factor Receptors by Rb and E2F1: Role of Acetylation Open
Supplementary Table 1 from Regulation of Vascular Endothelial Growth Factor Receptors by Rb and E2F1: Role of Acetylation
View article: Supplementary Methods from β-Arrestin-1 Mediates Nicotine-Induced Metastasis through E2F1 Target Genes That Modulate Epithelial–Mesenchymal Transition
Supplementary Methods from β-Arrestin-1 Mediates Nicotine-Induced Metastasis through E2F1 Target Genes That Modulate Epithelial–Mesenchymal Transition Open
Supplementary materials and methods
View article: Data from Regulation of Vascular Endothelial Growth Factor Receptors by Rb and E2F1: Role of Acetylation
Data from Regulation of Vascular Endothelial Growth Factor Receptors by Rb and E2F1: Role of Acetylation Open
E2F transcription factors regulate a variety of cellular processes, but their role in angiogenesis is not clear. We find that many genes involved in angiogenesis such as FLT-1, KDR, and angiopoietin 2 have potential E2F1 bind…