• info@icbcongress.com
• English
• Persian

• Login

Create Free Account

INTERNATIONAL CONGRESS OF

PharmacoGenetics

• Personalized medicine and cancer

• Sarah Mohammaditirabadi,¹ Saba Safdarpour,^2,* Sajad Sepehrirad,³
  1. Department of biology, College of Science, University of Tehran, Tehran, Iran
  2. Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
  3. Faculty of Modern Sciences, Islamic Azad University of Medical Sciences, Tehran, Iran
  
  
  
• Introduction: BACKGROUND: Cancer is a complex and heterogeneous disease that affects many people worldwide every year. The development and progress of this disease is the result of accumulated mutations in cells and various functional disorders in cancer cells; which gives them the advantage of survival, further reproduction and the ability to escape from the host's immune system. Over the past few decades, major advances in disease identification and treatment methods have been made. Treatment methods and many problems have high costs, lack of proper functioning and sufficient accuracy, etc., they do not show the heterogeneity of the tumor completely, and different types of cancer respond differently to different treatments. Personalized medicine, as a novel and new field but with an old background based on this promising biological approach that can create a unique treatment path by identifying the genomic profile of each patient, has attracted a lot of attention. OBJECTIVE: The purpose of this study is to review and explain personalized medicine for cancer treatment and general explanations about this treatment method.
• Methods: METHODS: In the present review article, we studied both original and review studies published in Science Direct, Scopus, PubMed and Google Scholar database using the key words Personalized medicine; Cancer; Biomarkers and Genetic.
• Results: RESULTS: Recent studies have shown that the basis of this type of treatment is that it uses the individual's genome, molecular and clinical characteristics, the patient's personality, habits and lifestyle, as well as environmental factors such as age, environment and family to design a specific treatment path and prevent diagnose and predict the response to drugs and in general adjust the entire course of the patient's treatment in the best possible way. This method uses various sciences such as bioinformatics, biomathematics, statistics and systems biology to integrate, analyze and interpret genomic (DNA), transcriptome (RNA), proteomics, nutrition, epigenomics, microbiome and metabolomic data to achieve Personalization makes better use of it.
• Conclusion: Conclusion: In conclusion, personalized medicine in cancer treatment offers great promise and has many benefits for healthcare organizations, care providers such as physicians and treatment staff, and patients, including: improved quality of treatment and greater likelihood of outcomes desirable, reducing costs, increasing patient participation as well as increasing adherence to treatment, increasing the probability of choosing the best treatment and accurately predicting the disease, finding the right drug with the correct dose, reducing risky invasive test methods, improving the therapist's ability to understand the underlying mechanisms of the disease, finding strategies Disease prevention and community health promotion. However, there are still limitations and problems that prevent the full expression of the potential of this therapeutic method in prediction and treatment. But it is very important that PM shows promise in improving treatment outcomes and reducing toxicity associated with conventional chemotherapy. As personalized medicine continues to evolve, more effective and targeted treatments are likely to emerge in the near future, offering hope to patients with previously incurable cancers.
• Keywords: KEYWORDS: Personalized medicine, Cancer, Genome, Biomarkers.