Scientists have developed a new, highly sensitive method to detect genetic variations that initiate colon cancer which can help detect the disease in its early stages.
About 60 per cent and 40 per cent of patients with colon cancer have genetic variations in the genes APC and KRAS, respectively. Since these variations are also present in precancers, methods for spotting them can help detect colon cancers early.
The new method described in the journal Cancer Prevention Research, a journal of the American Association for Cancer Research, is up to 5,000-fold more sensitive than other noninvasive screening methods.
"Tumour cells are released into stool from the surface of precancers and early-stage colon cancers, but detecting a cancer-initiating genetic mutation among a large quantity of normal DNA from a patient's stool is like looking for a needle in a haystack," said Bettina Scholtka, assistant professor in the Department of Nutritional Toxicology at the University of Potsdam in Nuthetal, Germany.
"By combining for the first time locked nucleic acid-based, wild-type blocking polymerase chain reaction and high-resolution melting, we were able to achieve the desired sensitivity. "The extremely high sensitivity of this technique allows us to find very low amounts of different types of the cancer-initiating mutations in patients' stool samples.
"Colon precancer cells carrying these genetic variations are routinely shed in stool samples, but these cells can be detected in blood only after the cancer has advanced, so stool is better than blood if we are to catch these cancers at a very early stage," she added.
Scholtka and colleagues used 80 human colon tissue samples representing cancers and precancers to detect genetic variations using a combination of two techniques: The first technique - locked nucleic acid (LNA)-based, wild-type blocking (WTB) polymerase chain reaction - suppressed normal DNA present in large quantities in the sample.
The second technique - high-resolution melting (HRM) enhanced the detection of genetic variations. The researchers were able to detect APC variations in 41 of the 80 samples. They were also able to detect previously unknown variations in APC. In contrast, the routinely used technique called direct sequencing could detect variations only in 28 samples.