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Our central hypothesis is that patient response to treatment, evaluated by full spectrum of outcome measures including tumor control, survival, toxicity, and quality of life (QoL), will correlate with biomarker expressions, which can be tested in the blood, other body fluid, imaging as well as tumor tissue (if available).
Full description
The primary biomarkers of our interest are those obtained from minimally invasive procedures and those associated with immune/inflammatory treatment responses such as lymphocyte count, immune cell subtype distribution, TGF-beta1, immunomodulating interleukins and IDO metabolites. We will measure the biomarkers pre-, during- and post-anticancer treatment for hypothesis driven studies, and bank residual biological specimen, in combination with prospectively collected data including patient/tumor/treatment factors, imaging, tumor control outcome, treatment toxicity and QOL measures. We will classify the tumor response according to RECIST criteria and qualify QoL by using the PROMIS grading system and correlate them with the corresponding biomarkers. This study will serve young investigators who are interested in biomarker studies for early diagnosis, tumor control outcome and treatment toxicity/QOL prediction, aiming to guide personalized cancer care in future.
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Inclusion criteria
Cancer Patients
Normal (non cancer) controls
Exclusion criteria
Participants who have supposedly limited ability to complete the survey questionnaires of the present study will be excluded.
5,000 participants in 2 patient groups
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Central trial contact
Li YANG, Dr.
Data sourced from clinicaltrials.gov
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