Predicting the response of patients diagnosed with cancer to cytokinotherapy is essential to guide anti-tumor therapy complex strategy and subsequent adjuvant approach. Cytokinotherapy is a cost-effective, well-known available method of therapy for the patients with tumors. The objective response possibly correlates to the tumor's size, aggressiveness, age, and other primary factors. Multifactor analysis requires a large amount of data. Therefore, the investigators created the first database aimed to collect data concerning the patients with cancer and the clinical outcomes of cytokinogenetic therapy. The acquired data must be processed to detect the key factors effecting the outcomes. Cytokinotherapy is a universal therapeutic approach, although we lack information that would help to personalize it and reduce the rate of progression. The main goal is to find the relationship between initial patients' characteristics and effectiveness of cytokinotherapy for early risks detection. The predictive models that could be elaborated from the TCTD-1 analysis will complement knowledge of cytokinotherapy rationale. Predicting survival or other significant clinical criteria using TCTD-1 analysis results would greatly benefit the cancer patients' management.