This is a substantial improvement over the current method since it also has a variation between cancer cells in one patient. "This might be a very different ball sport," said Max Wicha, a educator of oncology at the University of Michigan Madeleine and Sidney Forbes oncology and senior communications researcher.
Early technology meant that there was a trade-off involving the complete genetic profile of a restricted subset of cancer cells, or that many cancer cells were recorded and only a few genes may be found. To know about cell staining you can search various medical stores online like bosterbio.
Therefore, genetic profiles often ignore important cancer cell populations-including cells believed to spread cancer from the body.
"Our processor can catch pure circulatory tumor cells and then select genetic information without being polluted by red blood cells and white line cells," said Euisik Yoon, a professor of electronic engineering and computer science and senior author of the study.
Many contemporary anticancer drugs work by monitoring cells with specific genes-these genes indicate their identity as cancer. But these genes aren't evenly active from the individual's cancer cell population and may change during therapy.
Repeated biopsies to track tumors are debilitating and possibly dangerous to patients. Capturing cancer cells in blood samples provides a noninvasive procedure to detect if cancer has vanished or is resistant to treatment.
Genetic analysis confirms that in one individual, cancer cells usually behave very differently. Wicha's research group has shown that tumor metastasis is evidenced by cancer cells with stem cell properties.