Low oxygen levels in prostate tumours can help predict odds of cancer recurrence
May 16th, 2009 - 1:23 pm ICT by ANI ( Leave a comment )Washington, May 16 (ANI): Low-oxygen regions in prostate tumours can be used to predict the recurrence of cancer in a patient, say scientists.
Researchers at the Fox Chase Cancer Center came to this conclusion after analysing the observations made during a long-term study, whose results will be presented at the 2009 American Society of Clinical Oncology annual meeting in Orlando, Florida.
Dr. Aruna Turaka, a radiation oncology fellow and the lead author of the study, says that low oxygen is a well-known risk factor for radiation resistance in solid tumours.
She says that the current study reinforces the preliminary findings of the six research papers published between 2000 and 2002, which detailed the link between low oxygen in tumours and the risk of increased prostate-specific antigen (PSA) levels.
During the study, her team used a custom-built probe to monitor the amount of oxygen that prostate tumours and non-cancerous muscle tissue were receiving.
The researchers used this probe on 57 patients with low or intermediate risk of cancer just before the patients received a form of localized radiation therapy.
They then tracked the patients over time, looking for a correlation between the amount of oxygen levels in the prostate tumour relative to the muscle tissue at the time of therapy and later looked at the increase in PSA levels.
The study showed that eight of the 57 patients experienced an increase in PSA levels following prostate cancer treatment, defined as an increase of 2 ng/mL above the lowest PSA reading following brachytherapy. Overall, average muscle oxygenation was 12.5-times higher than that of the tumour.
The researchers used a statistical model that accounted for such risk factors as tumour grade, PSA level and tumour size and determined that low oxygen was a significant independent predictor of an increase in PSA levels.
Even after accounting for PSA value, Gleason score, tumour size, age, and other prostate cancer risk factors, the researchers said that low oxygen in tumour alone could predict the likelihood of increased PSA levels, and potentially cancer recurrence.
“Now, the goal is to apply the results to the clinic,” Turaka said.
“We already knew that there are hypoxic (low oxygen) regions within cancers. The future goal is to interpolate that to relate to the expression of molecular markers (such as hypoxia-inducible factor-1-alpha) and attack those tumours with dose escalation radiation oncology strategies and targeted agents,” she said. (ANI)
- MRI can help locate prostate cancer recurrence at extremely low PSA levels - Apr 30, 2011
- Why prostate cancer returns in some patients - May 28, 2009
- Prostate cancer patients who remain disease free for 5yrs after treatment less likely to have recurr - Jul 03, 2009
- PSA test more reliable in men taking prostate-shrinking drug - Dec 18, 2010
- Micro oxygen generators fight cancer faster - Sep 01, 2011
- Chemo-radiation combo may avert prostate cancer recurrence - Nov 05, 2009
- Aspirin reduces risk of cancer recurrence in prostate cancer patients - May 03, 2011
- Hormone therapy 'doubles survival chances in men with prostate cancer' - Mar 25, 2011
- Now, test to predict aggressiveness of prostate cancer - Apr 20, 2010
- Prostate cancer screening improves patients' quality of life - Oct 26, 2010
- Aspirin use 'cuts risk of death from prostate cancer by more than half' - Oct 26, 2010
- Statins can cut prostate cancer risk - Oct 02, 2011
- Experimental drug for advanced prostate cancer shows promise - Apr 15, 2010
- New procedure busts deadly brain tumour cells - Feb 06, 2012
- Radiation therapy after mastectomy ups breast cancer survival rates - Jun 03, 2010
Tags: aruna, cancer recurrence, chase cancer center, fox chase cancer, fox chase cancer center, gleason score, independent predictor, muscle tissue, oxygen levels, prostate cancer, prostate cancer treatment, prostate specific antigen, psa level, psa levels, psa value, radiation oncology, radiation resistance, radiation therapy, risk factor, statistical model