Abstract
Abstract We are developing an immune sensor for early detection of breast cancer and its recurrence in blood, based on identifying the earliest specific changes/alterations in the immuno-biochemical signals in different immune components that are distinctly different from those in a healthy immune system. The screening of different immuno-biochemical signals in their native and altered forms in different immune components/cells led to identification of a novel T cell population. Analysis of this T cell population and its immuno-biochemical signals on blood samples from the 4 groups - (i) healthy, (ii) recently diagnosed with invasive breast cancer stage 1{before the onset of treatment/surgery}, (iii) breast cancer treated individuals who had incidence of recurrence/relapse {BCR}, and (iv) breast cancer treated individuals who were disease free {BDF}- was done using multi-parameter flow cytometry. Sixteen molecules, assessed as the most likely candidates for sensing disruptions in the immune pathway, were used in developing a matrix. Care was taken to separate subjects that could confound the immuno-biochemical signals, potentially arising from other immune disorders. The method designed is different from conventional approaches and has the potential to be used as a cost-effective assessment to predict health status.
Published Version
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