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Article
Open AccessBayesian risk prediction model for colorectal cancer mortality through integration of clinicopathologic and genomic data
Routine tumor-node-metastasis (TNM) staging of colorectal cancer is imperfect in predicting survival due to tumor pathobiological heterogeneity and imprecise assessment of tumor spread. We leveraged Bayesian a...
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Article
Open AccessSpatially resolved multimarker evaluation of CD274 (PD-L1)/PDCD1 (PD-1) immune checkpoint expression and macrophage polarisation in colorectal cancer
The CD274 (PD-L1)/PDCD1 (PD-1) immune checkpoint interaction may promote cancer progression, but the expression patterns and prognostic significance of PD-L1 and PD-1 in the colorectal cancer microenvironment ...
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Living Reference Work Entry In depth
Spatial Technologies: A Game Changer for Studying the Tumor Microenvironment
Traditional immunohistochemistry (IHC) has long been considered the “gold standard” for tissue pathology diagnosis. However, the diagnostic and prognostic value of this technique is limited by a number of fact...
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Living Reference Work Entry In depth
The Hurdle of Precision Medicine in Cancer Immunotherapy: Personalization Now or Then?
Moving away from the generic treatment for all cancer, precision medicine provides a targeted therapy based on the different profile presented. Since the signing of Precision Medicine Initiative by the then US...
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Article
Immune cell profiles in the tumor microenvironment of early-onset, intermediate-onset, and later-onset colorectal cancer
Despite heightened interest in early-onset colorectal cancer (CRC) diagnosed before age 50, little is known on immune cell profiles of early-onset CRC. It also remains to be studied whether CRCs diagnosed at o...
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Article
Open AccessAn integrated analysis of lymphocytic reaction, tumour molecular characteristics and patient survival in colorectal cancer
Histological lymphocytic reaction is regarded as an independent prognostic marker in colorectal cancer. Considering the lack of adequate statistical power, adjustment for selection bias and comprehensive tumou...