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.
"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.
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"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 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.
They then analysed 22 stool samples from patients whose colon tissues had APC variations, and nine stool samples from patients whose colon tissues did not have APC variations, as controls. They were able to detect APC variations in 21 out of 22 samples.
The researchers also detected variations in the KRAS gene using 20 human colon tissue samples to demonstrate that the WTB-HRM method can be used to detect variations in genes other than APC.