Signs of the Times: Biomarkers Offer Clinical Promise in Pancreatic Cancer
Although TNM staging and histology remain important to determining therapeutic intervention, new factors, such as biomarkers, are playing an increasing role in cancer care. Biomarkers are molecules (proteins, DNA or RNA) that can be used to indicate the presence of cancer. They are found in blood or other body fluids (such as urine and saliva), or in tumor tissue. Biomarkers are exciting to cancer researchers and clinicians because they help divide tumor classifications into smaller groupings, called ‘molecular subtypes,’ that behave in distinctly different ways. These cancer ‘signatures’ can be used to aid in treatment decisions, as well as for early detection and monitoring of response to treatment.
How did the water turn green, seemingly “out of nowhere?”
Actually, for days and possibly weeks, the pool water was undergoing chemical changes that led to the growth of algae and eventually turned the water green – only these changes were not visible to the eye. Using test strips allows us to detect subtle chemical reactions in the pool water before they become visible (and the water turns green). Also, we can use information gained from pool test strips to make necessary pH and chlorine adjustments that will clear the water. Perhaps our tests strips can even zero-in on the exact type of algae that has run amok, allowing us to add a single chemical to eliminate the specific culprit (rather than blast our pool full of a chemical cocktail so potent that it burns our guest’s eyes). This is similar to how cancer biomarkers can work: Although they cannot be observed through traditional medical tests, they can be quite effective in alerting oncologists that something is amiss, and often, in guiding them on how best to proceed. Biomarkers help clinicians to look beyond the tangible signs of cancers, allowing their individual chemical compositions (‘signatures’) to speak for themselves.
Biomarkers for Early Detection
In addition to protein-based biomarkers, major technological advances, such as the high-throughout technology used for DNA sequencing in the pancreatic cancer genome project, supported in part by The Lustgarten Foundation, are enabling scientists to catalog DNA signatures for various cancer cells. The hope is that one day, DNA signatures can be compared against normal cells to check for variations that would indicate the presence of early stage pancreatic cancer. The Lustgarten Foundation supports this kind of leading-edge research.
Biomarkers for Therapeutics
As we grow our understanding of cancer signatures, we can determine which signatures respond to which therapies, widening cancer’s playing field of ‘personalized medicine.’ Breast cancer’s HER2 biomarker (human epidermal growth factor receptor 2) is an example of how enhanced understanding of cancer biology has led to improved, targeted therapies: As with pancreatic cancer, treatment for breast cancer has been selected based on TNM stage and tumor histology. But thanks in part to the identification of certain biomarkers, breast cancer is now also classified based on ‘molecular subtype.’ Today, HER2-positive breast cancer patients have improved prognoses regardless of the stage of their disease, largely because HER2-positivity makes them candidates for targeted therapies. Ideally, we would like to apply this concept of cancer signatures to pancreatic cancer and in fact, much emphasis in the research community today is being placed on identifying pancreatic cancer biomarkers. The pancreatic cancer genome project set the stage for the identification of new DNA signatures by identifying a “treasure trove” of genes involved in the disease.
Individuals with pancreatic cancer have had limited treatment options. The development of targeted therapies has expanded the pool of potential treatments for the disease, but clinicians still lack a reliable way to determine which therapies would prove most effective for individual patients. Biomarkers offer promise in the fight against pancreatic cancer at every level – from early detection, to selection of therapy, to monitoring of treatment response.
No comments:
Post a Comment