What does CGR mean in RESEARCH

Cancer Genomics Research (CGR) is an interdisciplinary field that focuses on understanding the molecular basis of cancer and how it relates to other diseases. Through the study of genetic alterations, researchers aim to identify new strategies for diagnosis, treatment, and prevention of cancer.

By studying genetic alterations related to cancer, researchers can gain a better understanding of how cancer develops and progresses. This allows them to develop more precise treatments and therapies tailored specifically for each individual patient.

Technologies such as genome sequencing, next-generation sequencing, gene expression profiling, DNA methylation studies, proteomic studies, bioinformatics analysis are commonly used in CGR.

Projects within CGR involve scientists and clinicians from various fields including genomics/molecular biology/bioinformatics/statistics/computational biology/epidemiology working together towards a common goal of furthering our understanding of the genomic basis of cancer and its treatments.

The use of CGR enables us to design better targeted treatments that take into account individual genetic variations which could potentially result in more effective therapies with fewer side effects. It also facilitates our understanding on the molecular basis for why certain cancers are resistant to existing treatments.

Data acquisition for projects within this area typically involve obtaining samples from either healthy individuals or patients with specific types of cancers through tissue biopsies or saliva samples etc., followed by analyzing these samples using various techniques such as sequencing or gene expression profiling.

Yes, ethical considerations must be taken when conducting research in this area as some data obtained from patients may be deemed as confidential information which must be handled responsibly during the analysis process and shared only with authorized personnel with proper permissions. Additionally informed consent must be obtained from all participating individuals before any data collection can take place.

Yes, since complexity is inherent across different kinds of research within this field one needs to have specialized knowledge such as familiarity with bioinformatic tools and data analysis techniques besides having a good background in areas such as genomics/molecular biology/ statistics etc., in order to successfully conduct research within this domain.