Molecules in prostate tumors might predict whether RT can help prevent recurrence

prostate cancer
Micrograph showing prostatic acinar adenocarcinoma (the most common form of prostate cancer) Credit: Wikipedia

A new study has identified a group of molecules in prostate-cancer cells that doctors might one day use to distinguish which patients should be treated with radiation therapy if rising PSA levels indicate their cancer has recurred after surgical removal of the prostate.

Led by researchers at the Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC - James), the retrospective study suggested that a pattern of molecules called microRNA (miRNA) in tumor cells might predict patients' response to radiation therapy .

In particular, the study suggests that two miRNAs - miR-4516 and miR-601 - in tumor cells along with Gleason score and lymph node status may help identify patients who might experience rising PSA after they've been treated with radiation therapy.

"This study is the first to demonstrate that miRNA expression in correlates with outcome after salvage radiation therapy, paving the way for the potential use of miRNA biomarkers in ," says first author Erica Hlavin Bell, PhD, assistant professor-clinical in .

In addition, the researchers correlated a pattern of 88 miRNAs with tumors that first recurred early after prostatectomy - within three years or less - versus tumors that recurred after three years.

The findings are published in the journal PLOS ONE.

"If validated by further studies, these findings could change clinical practice and improve the care of prostate-cancer patients," says study leader Arnab Chakravarti, MD, chair and professor of Radiation Oncology and director of Ohio State's Brain Tumor Program.

"Men found to have aggressive disease at the time of prostatectomy could be offered additional treatment with radiation therapy to prevent recurrence, while sparing men with slow-growing tumors," adds Chakravarti, who holds the Max Morehouse Chair of Cancer Research. "These findings are important because it is currently hard to distinguish early which patients will benefit from radiation therapy following radical prostatectomy and which will receive no benefit," says Bell. "Our novel miRNA panel might also shed light on the underlying mechanisms of treatment resistance in prostate cancer."

Prostate cancer is the most frequently diagnosed in men. An estimated 220,800 new cases are expected in the United States in 2015, along with 27,540 deaths from recurrent disease. Currently, rising blood levels of prostate-specific antigen (PSA), a protein made by the prostate gland, are used as indicators of tumor recurrence.

Removal of the prostate is widely used to treat men with early-stage disease. But up to 30 to 40 percent of these patients experience rising PSA levels after surgery, and these patients are often treated using radiation therapy.

This study analyzed preserved tumor samples from 43 patients who later received radiation therapy after rising PSA levels were detected following a radical prostatectomy.

The study's key findings include:

  • A new model for recurrence based on rising PSA levels was developed; the model is based on miR-4561 and miR-601, together with Gleason score and lymph node status;
  • The model significantly improved prediction of response to over the use of Gleason score and lymph-node status alone;
  • 88 miRNAs were associated with time to first recurrence after a .

Explore further

Patients with detectable PSA post-prostatectomy should receive more aggressive radiation therapy

Journal information: PLoS ONE

Citation: Molecules in prostate tumors might predict whether RT can help prevent recurrence (2015, March 11) retrieved 28 November 2020 from https://medicalxpress.com/news/2015-03-molecules-prostate-tumors-rt-recurrence.html
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