Oncology Peer Review On-The-Go: Plasma Glutamine as a Prognostic Biomarker in Localized Prostate Cancer
On this week’s podcast, Jun Gong, MD, spoke with CancerNetwork® about the potential role of plasma glutamine as a biomarker for patients with localized prostate cancer.
This episode of "Oncology Peer Review On-the-Go" podcast features an examination of an article from the September issue of the journal ONCOLOGY, titled “Plasma Glutamine as a Prognostic Biomarker in Localized Prostate Cancer: Comparison of Conventional Variables in Risk Stratification.” CancerNetwork® spoke with one of the authors of this research, Jun Gong, MD, a practicing medical oncologist who specializes in the treatment of genitourinary cancers at Cedars-Sinai Medical Center.
Gong detailed the role of prostate-specific antigen levels in prostate cancer and other potential complementary biomarkers. He also discussed some of the significant findings from his research on plasma glutamine, which featured a cohort of over 100 patients with localized prostate cancer.
Don’t forget to subscribe to the “Oncology Peer Review On-The-Go” podcast on Apple Podcasts, Spotify, or anywhere podcasts are available.
Prolaris in Practice: Guiding ADT Benefits, Clinical Application, and Expert Insights From ACRO 2025
April 15th 2025Steven E. Finkelstein, MD, DABR, FACRO discuses how Prolaris distinguishes itself from other genomic biomarker platforms by providing uniquely actionable clinical information that quantifies the absolute benefit of androgen deprivation therapy when added to radiation therapy, offering clinicians a more precise tool for personalizing prostate cancer treatment strategies.
CCR Scores and Beyond: Precision Strategies for Treatment Intensification in Prostate Cancer
April 15th 2025Alvaro Martinez, MD discusses how emerging genomic risk stratification tools such as the clinical cell-cycle risk (CCR) score are transforming personalized prostate cancer treatment by enabling more nuanced assessments of metastasis risk and treatment intensification strategies beyond traditional NCCN risk groupings.
