Prognosis Analysis Service
Prognosis analysis is an important field in clinical disease research, and prognostic biomarkers are also an important classification in biomarkers, which have an important place in the field of disease research. As an expert in the field of biomarker services, Creative BioMart Biomarker has an experienced expert team and technical team, as well as a variety of advanced technology platforms that can be used for prognostic biomarker analysis. We have extensive experience in prognosis analysis and custom services, and can help customers customize prognosis analysis solutions according to the research needs.
Prognosis analysis is a predictive analysis of the future outcomes or consequences of some diseases, and is also related analysis about the likelihood of these outcomes. Without any therapeutic intervention, the process of the disease is called the natural history of the disease, which refers to the entire process from the occurrence and development of the disease to the outcome. It includes four periods, namely biologic onset stage, subclinical stage clinical stage and outcome. The natural history of different diseases is very different, so there are many possibilities for the outcome of the disease. Through prognosis analysis, we can scientifically analyze and predict the outcome of the disease and its probability of occurrence. Traditional prognostic analysis involves multiple related factors, including the age and body condition of patients, and disease characteristics. As research progresses in the field of biomarkers, many biomarkers are also considered to be potential prognostic factors. Prognostic biomarkers refer to biomarkers that can indicate the possible consequences of the disease, such as disease recurrence, disease remission, disease progression, or death. For example, Ki67 and human epidermal growth factor receptor 2 (HER2) are commonly used prognostic biomarkers for breast cancer prognostic analysis, and serum carbohydrate antigen (CA 19-9) can be used as a biomarker for prostate cancer. The study of prognostic biomarkers helps to analyze whether specific biomarkers are correlated with the prognosis of diseases, so as to determine whether these biomarkers have the potential to become prognostic biomarkers of these diseases. Especially in the absence of intervention measures, whether the prognostic biomarker can reflect the development and natural history of the disease is an important direction of prognostic research. The prognosis of diseases has clinical significance, which helps doctors and patients understand the future development of these disease and the probability of a certain result, so as to choose the right treatment plan, promote the outcome towards the benefit of the patient, and reduce the mortality, disability and recurrence rate of the disease. However, prognostic research requires meticulous and rigorous scientific research design, and individualized research programs need to be specified according to different research projects.
Our Advantages
- Multiple biomarker detection technology platforms available for prognosis analysis
- Experienced technical team
- Strict and standard experimental operation
- Provide complete experimental data and detailed professional analysis reports
- High quality and more efficient custom services
- Short service cycle and more competitive prices
Workflow of Custom Biomarker Service at Creative BioMart Biomarker
At Creative BioMart Biomarker, we provide customers with high-quality custom biomarker service related to prognosis analysis, and our expert team can customize scientific and rigorous experimental programs as soon as possible according to customer research needs and sample types. Our technical team has many years of experience in biomarker analysis and has been strictly controlling each process in the prognosis analysis to ensure that customers are provided with accurate, precise, and repeatable results. If you are seeking related services, Creative BioMart Biomarker may be your ideal choice, please feel free to contact us for more information.
References:
- Sadashima, E.; et al. Meta-analysis of prognostic studies for a biomarker with a study-specific cutoff value. Research Synthesis Methods. 2016, 7(4): 402-419.
