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©The Author(s) 2019.
World J Gastrointest Oncol. Feb 15, 2019; 11(2): 117-138
Published online Feb 15, 2019. doi: 10.4251/wjgo.v11.i2.117
Published online Feb 15, 2019. doi: 10.4251/wjgo.v11.i2.117
Figure 6 The polymorphisms of KIRs are useful biomarkers for categorizing the risk of non-homeostasis of the redox-immune systems.
The different pathways in men and women could be prognostic of disease in healthy subjects and of progression in patients. Principal component analysis plots of the network of correlations between aKIR, iKIR polymorphisms and the levels of Trx1, RTrx1, sCD30 and immunological parameters (with and without the age and the disease progression components, respectively). A: The network of the correlations between the different numbers of aKIRs and iKIRs of the patient group and the disease stage. The “Akir > 2” and “aKIR < 3” parameters are the limits of non-risk and risk of disease, respectively, and we used them as elements of stratification for the evaluation of the parameter relevance as prognostic biomarkers; B: Disease risk in healthy subjects; C: Healthy to Adenoma state disease progression (Healthy to Adenoma), in the group made up of healthy and adenoma subjects; D: Adenoma to Tumor state disease progression (Adenoma to Tumor), in the group made up of adenoma subjects and patients. Vector colors: The same color identifies a functional outline explained in the text. Parameter levels: Increase↑; decrease↓.
- Citation: Berghella AM, Aureli A, Canossi A, Beato TD, Colanardi A, Pellegrini P. Redox, immune and genetic biomarker system for personalized treatments in colorectal cancer. World J Gastrointest Oncol 2019; 11(2): 117-138
- URL: https://www.wjgnet.com/1948-5204/full/v11/i2/117.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v11.i2.117