Mapping spatial heterogeneity in the tumor microenvironment: a new era for digital pathology.
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Cancer Evolution and the Limits of Predictability in Precision Cancer MedicineSingle-Tube Reaction Using Perfluorocarbons: A Prerequisite Step Leading to the Whole-Slide In Situ Technique on Histopathological SlidesIdentification of a characteristic vascular belt zone in human colorectal cancerKi67/SATB1 ratio is an independent prognostic factor of overall survival in patients with early hormone receptor-positive invasive ductal breast carcinomaA metric and workflow for quality control in the analysis of heterogeneity in phenotypic profiles and screensSpatial distribution of FoxP3+ and CD8+ tumour infiltrating T cells reflects their functional activity.Evaluating optimal therapy robustness by virtual expansion of a sample population, with a case study in cancer immunotherapy.Spatial Heterogeneity in the Tumor Microenvironment.Clonal cooperativity in heterogenous cancers.Phenotyping Multiple Subsets of Immune Cells In Situ in FFPE Tissue Sections: An Overview of Methodologies.Lymph Nodes and Cancer Metastasis: New Perspectives on the Role of Intranodal Lymphatic Sinuses.High-grade serous ovarian cancer: the clone wars.Revisiting Seed and Soil: Examining the Primary Tumor and Cancer Cell Foraging in Metastasis.Cell-to-cell distances between tumor-infiltrating inflammatory cells have the potential to distinguish functionally active from suppressed inflammatory cells.Zebrafish Xenograft: An Evolutionary Experiment in Tumour Biology.Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer.Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps.Diagnostic assessment of osteosarcoma chemoresistance based on Virtual Clinical Trials.QuPath: Open source software for digital pathology image analysis.Characterizing the heterogeneity of tumor tissues from spatially resolved molecular measures.Time-lapsed, large-volume, high-resolution intravital imaging for tissue-wide analysis of single cell dynamics.Microenvironmental Signals and Biochemical Information Processing: Cooperative Determinants of Intratumoral Plasticity and Heterogeneity.Spatiotemporal heterogeneity of tumor vasculature during tumor growth and antiangiogenic treatment: MRI assessment using permeability and blood volume parameters.Advances in the computational and molecular understanding of the prostate cancer cell nucleusMicroenvironmental regulation of cancer cell metabolism: implications for experimental design and translational studies
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P2860
Mapping spatial heterogeneity in the tumor microenvironment: a new era for digital pathology.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
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2015年學術文章
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name
Mapping spatial heterogeneity ...... new era for digital pathology.
@en
type
label
Mapping spatial heterogeneity ...... new era for digital pathology.
@en
prefLabel
Mapping spatial heterogeneity ...... new era for digital pathology.
@en
P2860
P1476
Mapping spatial heterogeneity ...... new era for digital pathology
@en
P2093
Andreas Heindl
P2860
P2888
P304
P356
10.1038/LABINVEST.2014.155
P577
2015-01-19T00:00:00Z
P5875
P6179
1053268570