Skip to main content

Genetic Causes of Colorectal Cancer

Study reveals previously unknown genetic causes of colorectal cancer


Cancers develop partly through genetic abnormalities within cells of the body. Colorectal cancer is a major cause of death worldwide, but we don’t yet have a full understanding of the genetic changes that cause it to grow. New research - published today in Nature - delivers an unprecedented view of the genetic landscape of CRC and its responses to treatment.

Utilising data from 2,023 bowel cancers from the 100,000 Genomes Project led by Genomics England and NHS England, the research team has identified new gene faults that lead to CRC. They’ve also uncovered new CRC cancer sub-groups (categories of cancer with specific genetic characteristics that affect how cancer behaves and responds to treatment). These findings offer profound insights into the disease's development and potential treatment strategies.

Key Findings of the Study:

• Identification of Over 250 Key Genes: The study has pinpointed more than 250 genes that play a crucial role in CRC, the great majority of which have not been previously linked to CRC or other cancers, expanding our understanding of how CRC develops.
• New Sub-Groups of CRC: Four novel, common sub-groups of CRC have been discovered based on genetic features. In addition, several rare CRC sub-groups have been identified and characterised. These groups have different patient outcomes and may respond differently to therapy.
• Genetic Mutation Causes: The research reveals a variety of genetic changes across different regions of the colorectum, highlighting differences in CRC causes between individuals. For example, a process has been found that is more active in younger CRC patients’ cancers; the cause is unknown, but might be linked to diet and smoking.
• New Treatment Pathways: Many identified mutations could potentially be targeted with existing treatments currently used across other cancers.

Commenting on the findings, co-lead researcher, Ian Tomlinson, Professor of Cancer Genetics at the University of Oxford, said: 'Our findings represent a significant advancement in understanding colorectal cancer. By better understanding the genetic changes in CRC, we can better predict patient outcomes and identify new treatment strategies, quite possibly including the use of anti-cancer drugs that are not currently used for CRC.'

The research provides a vital resource for the scientific community and a promising foundation for future studies. The results from the study are available to other researchers, who are invited to build on the data by undertaking more focussed projects based on the CRC genome.

Co-lead researcher, Professor Richard Houlston, Professor of Cancer Genomics at The Institute of Cancer Research, London, said: 'This research is a great insight into the biology of colorectal cancer, uncovering the clues as to how it develops, grows, and responds to treatments. I look forward to seeing future studies use these findings to develop tailored treatments for people with colorectal cancer, based on their genetics.'

Co-lead researcher, Professor David Wedge, Professor of Cancer Genomics and Data Science at the University of Manchester, said: 'This is the first really large study to come out of the 100,000 Genomes Project led by Genomics England and NHS England. In the coming months and years, I expect it to be followed by many more studies of different types of cancer as well as combined studies across all types of cancer, fuelled by the fantastic data resource provided by Genomics England.'

Dr Henry Wood, Lecturer in Translational Bioinformatics from Pathology in the University of Leeds’ School of Medicine, said: 'This study is the first to provide in-depth, whole-genome sequencing and characterisation of the microbiome - the community of bacteria and viruses that live in the gut - in a large number of cases of bowel cancer. This means that we are now in a position to investigate the importance of the microbiome in the development of these cancers, and whether we can change it to influence the tumour and improve patient outcomes.'

The paper, 'The genomic landscape of 2,023 colorectal cancers', is published in Nature.

β-Sn texture, micro solder joints, heredity, multi-reflow process, cooling rate, reflow temperature, grain orientation, magnetic field, electric field, rare earth elements, nanoparticles, substrate type, joint geometry, solder composition, grain boundary engineering, thermal cycling, defects, mechanical properties, microelectronics, durability,

#βSnTexture, #MicroSolderJoints, #Heredity, #MultiReflow, #CoolingRate, #ReflowTemperature, #GrainOrientation, #MagneticField, #ElectricField, #RareEarthElements, #Nanoparticles, #SubstrateType, #JointGeometry, #SolderComposition, #GrainBoundaryEngineering, #ThermalCycling, #Defects, #MechanicalProperties, #Microelectronics, #Durability


International Conference on Genetics and Genomics of Diseases 




For Enquiries: genetics@healthcarek.com 

Get Connected Here 
--------------------------------- 
--------------------------------- 
facebook.com/profile.php?id=61555903296992 
tumblr.com/blog/dorita0211 
 


Comments

Popular posts from this blog

Genetics role in ovarian cancer

The Medical Minute: Genetics play big role in ovarian cancer In 2024, about 19,680 women in the United States will receive a new diagnosis of ovarian cancer and 12,740 women will die from the disease, said Dr. Shaina Bruce , a gynecologic oncologist at Penn State Cancer Institute . The median age of all patients who develop ovarian cancer is 63. Historically, women at increased risk for ovarian cancer are recommended to have their fallopian tubes and ovaries removed when they have completed having children. Taking that step to protect themselves comes at a heavy price ― surgical menopause. But Bruce said medical science is catching up with ovarian cancer. Studies could lead to new methods for preventative care and the surgery needed to lower risk may be easier than it once was. Below, during Gynecologic Cancer Awareness Month, Bruce discusses the disease and why acting to reduce your risk is worth it. What’s the connection between heredity and ovarian cancer? About 25% of all cases of ...

X chromosome

Gene on the X chromosome may help explain high multiple sclerosis rates in women Brain inflammation may be fueled by a gene on the X chromosome, a new study in mice suggests. And in female mice, who carry two X chromosomes, a diabetes drug called metformin may work to counteract that inflammation. If these findings bear out in later studies, they could help to unravel the long-standing mystery of why women, who have two copies of this inflammation-driving gene, are more prone to certain autoimmune diseases, particularly after menopause. A disparity between the sexes Our bodies are patrolled by immune cells that provide protection against bacteria and viruses, but sometimes, these defenses turn on us. In the autoimmune disorder multiple sclerosis (MS), for instance, the immune system attacks myelin, the fatty insulation surrounding the nerve fibers in the brain and spinal cord. This leads to symptoms such as muscle weakness and difficulty walking, as well issues with memory and thinking...

Multifactorial Genetic Conditions

Multifactorial Genetic Conditions Multifactorial genetic conditions are disorders caused by the combined effects of multiple genes and environmental factors , rather than a single gene mutation . These conditions do not follow classic Mendelian inheritance patterns and instead result from complex gene–environment interactions . Factors such as lifestyle, nutrition, infections, stress, and exposure to toxins can significantly influence disease onset and severity in genetically susceptible individuals. Common examples include diabetes, cardiovascular diseases , neural tube defects, asthma, and many neuropsychiatric disorders. Understanding multifactorial inheritance is essential for risk prediction, preventive medicine, and personalized healthcare strategies. Multifactorial inheritance, polygenic traits, gene–environment interaction, complex diseases, genetic susceptibility, environmental risk factors, non-Mendelian inheritance, disease predisposition, polygenic risk score, precision ...