10 research outputs found
Related Article from PPARγ Agonists Target Aromatase Via Both PGE<sub>2</sub> and BRCA1
Related Article from PPARγ Agonists Target Aromatase Via Both PGE2 and BRCA
Supplementary data from CXCL1 Is Critical for Premetastatic Niche Formation and Metastasis in Colorectal Cancer
Supplementary methods, figures, and figure legends Supplemental Figure S1. gMDSCs in pre-metastatic livers Supplemental Figure S2. The CXCL1-CXCR2 axis is required for formation of pre-metastatic niches and liver metastasis Supplemental Figure S3. The effect of VEGF knockdown on cecal tumor growth and the VEGFR levels on macrophages</p
Supplementary figures and tables from PPARδ Mediates the Effect of Dietary Fat in Promoting Colorectal Cancer Metastasis
Activation of PPARdelta induces colonic CSC via Nanog</p
Perspective from Regulation of Prostaglandin Transporters in Colorectal Neoplasia
Perspective from Regulation of Prostaglandin Transporters in Colorectal Neoplasi
Supplementary Figure from The COX-2–PGE<sub>2</sub> Pathway Promotes Tumor Evasion in Colorectal Adenomas
Supplementary Figure from The COX-2–PGE2 Pathway Promotes Tumor Evasion in Colorectal Adenoma
Supplementary Tables 1 - 5 from Genetic Polymorphisms in MicroRNA-Related Genes as Predictors of Clinical Outcomes in Colorectal Adenocarcinoma Patients
PDF file, 105KB.</p
Supplemental File 1 from AACR Project GENIE: Powering Precision Medicine through an International Consortium
AACR GENIE Data Guide</p
Table S3 from AACR Project GENIE: Powering Precision Medicine through an International Consortium
Table S3</p
Table S4 from AACR Project GENIE: Powering Precision Medicine through an International Consortium
Table S4</p
Supplemental Methods, Supplemental Tables 1-2, Supplemental Figures 1-4 from AACR Project GENIE: Powering Precision Medicine through an International Consortium
Supplemental Methods. Supplemental Table 1: ââ,¬â€¹Genomic Data Characterization by Center. Supplemental Table 2: ââ,¬â€¹Gene Panels Submitted by Each Center. Figure S1: Number of putative germline SNPs per sample, before and after uniform germline filtering. Figure S2ââ,¬â€¹. Distribution of total somatic mutation burden per sample stratified by sequencing panel. Figure S3: ââ,¬â€¹Log-scale comparison of mutation frequencies at hotspot sites between GENIE (data aggregated from all sequencing panels) and cancerhotspots.org (CHS) using a binomial test. Figure S4:ââ,¬â€¹ Comparison of mutation frequencies at hotspot sites in each GENIE sequencing panel with cancerhotspots.org (CHS) using a binomial test.</p
