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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.
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The investigators plan to carry out an open prospective observational cohort study during 10 years based on TCTD-1 registry of patients with cancer diagnoses in order to assess the effectiveness and safety of cytogenetic therapy. Demographic, clinical, radiological, genetical and laboratory variables (TNF alpha) will also be collected. OS will be defined as the time elapsed between the application for cytogenetic therapy with cancer diagnosis and the patient's death.
Objectives:
To establish a longitudinal observational registry of patients with cancer based on clinical and laboratory analytical variables.
To identify the patients with a high potential of cytokinogenetic therapy and/or low risk of complications.
To assess the effectiveness and safety of cytogenetic therapy in patients with cancer.
To determine the relationship between the initial patients' features and effectiveness and safety criteria (objective response, overall survival, AE rate, etc.).
To develop a predictive model.
To validate the model and compare it with currently available predictive models.
The methodological properties of the study are described below:
-The study exclusion criteria are:
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Tamara V Filatova, Master; Artem L Kornilov, Master
Data sourced from clinicaltrials.gov
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