Genomic Diagnostics determine the unique character of YOUR cancer:
Logic tells us we are all different! Yet many believe when cancer is diagnosed that it is just one disease manifesting in different parts of the body.
Not all cancers are the same. The term “cancer” encompasses more than 100 diseases affecting nearly every part of the body. The major types of cancer are carcinoma, sarcoma, melanoma, lymphoma & leukemia.
One main advantage of knowing & understanding genomic cancer diagnostics is that your results reflect your tumour’s genomic DNA fingerprint which is unique to you! This can help to eliminate the stress involved in endlessly searching the internet for one size fits all cancer treatments. Genomics diagnostics can personalise your cancer treatment.
Very Good News!
Clinical trials of over 70,000 patients have shown that personalised therapy, based on genomic profiling of tumours, is the most effective way to improve outcome, with higher response rates, longer progression free and overall survival, and fewer deaths related to toxic effects across all cancers.
Personalised therapy, based on genomic profiling of tumours, is the most effective way to improve outcomes. Breakthrough Genomic (DNA) tests can solve the puzzle of your cancer as well as identifying targeted treatments which may result in reduced side effects:
Genomic Diagnostics: Cancer is a complex disease, caused by a wide range of genetic mutations that can be present in many combinations. Each tumour has a unique genetic makeup, even amongst cancers of the same tissue type, such as breast cancer. Genomic testing can be used to analyse the DNA of your tumour and may identify the genetic mutations that are unique to your cancer.
Identifying the mutations in a patient’s cancer is the key to developing personalised treatments. Depending on the type of testing done, a comprehensive genomic analysis may provide information on potential therapeutics, development of resistance to treatments, prognosis, disease tracking, and may provide access to clinical trials and new treatments.
Every patient deserves an accurate diagnosis!
The Personalized Medicine Coalition USA states:
“Bound by the constructs of traditional care delivery models, many of today’s doctors still prescribe therapies based on population averages. As a result, health care systems around the world continue to deliver inefficient care that fails to help significant portions of the patient population.
Enter personalized medicine. Personalized medicine, also called precision or individualized medicine, is an evolving field in which physicians use diagnostic tests to identify specific biological markers, often genetic, that help determine which medical treatments and procedures will work best for each patient.
By combining this information with an individual’s medical records, circumstances, and values, personalized medicine allows doctors and patients to develop targeted treatment and prevention plans.
Documented in The Personalised Medicine Report.
Current standard of care protocols rely on the assumption that patients with cancer of the same tissue type (and name) have the same underlying disease. This is why up to 75% of patients fail first line treatments.
Nantehealth (USA) puts it this way – “Oncologists use all the information available to make the best decisions for their patients. And yet, response rates for most cancer therapies remain low, with only 25% of cancer patients benefiting from the offered drug.
What if you could know more about each patient’s tumor? Could you drive up that 25%, and give your patients better outcomes?
Genomics - Your Cancer Solution is in Your Hands
OTHER BENEFITS OF GENOMIC TESTING:
*Indicate patient’s ability to metabolise cancer treatments.
*Determine suitability or resistance to chemotherapy.
*Determine suitability for Radiation Therapy (Radiation Sensitivity Assay)
*Determine tolerance, suitability to drug-based immune therapies. (Tumour Mutational Load)
*Determine tolerance, suitability to medicines, anaesthetics
*Monitor success of treatments or check for recurrence.