Objectives: A new clinical pretreatment quantity called the calculated prostate cancer volume has been defined. The correlation between the calculated parameter and the actual prostate cancer volume, and its ability to predict for pathologic Stage T3 disease in patients with clinically localized disease, is tested.
Methods: Prostate cancer volume measurements were obtained using a 3-dimensional computerized morphometric reconstruction technique on 104 whole-mounted radical prostatectomy specimens. The calculated prostate cancer volume was determined based on pretreatment clinical parameters (prostate-specific antigen [PSA], biopsy Gleason score, and prostate ultrasound volume). Linear regression was used to determine the Pearson correlation coefficients (r) between the PSA, the calculated prostate cancer volume, and the measured prostate cancer volume. Logistic regression multivariable analysis evaluating the predictive value of the pretreatment PSA, biopsy Gleason score, clinical stage, and calculated prostate cancer volume in predicting pathologic Stage T3 disease in patients with clinically organ-confined disease was performed.
Results: The calculated prostate cancer volume (r 0.71 to 0.96) was superior to PSA (r 0.12 to 0.67) in predicting the measured prostate cancer volume over a wide range (0.02 to 9.5 cm3) of cancer volumes. The calculated prostate cancer volume was the only significant predictor (P = 0.02) of pathologic Stage T3 disease in patients with clinical Stage T1 to T2 disease on multivariable analysis.
Conclusions: The calculated volume of prostate cancer is superior to PSA in predicting both the pathologic prostate cancer volume and pathologic Stage T3 disease in patients with clinical Stage T1 and T2 disease. Therefore, it may be useful in determining the optimal candidates for radical prostatectomy.
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http://dx.doi.org/10.1016/S0090-4295(96)00509-2 | DOI Listing |
Ann Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.
Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
Ann Intern Med
January 2025
Division of Hematology and Oncology, Department of Medicine, Mayo Clinic, Phoenix, Arizona.
Oncologist
January 2025
Department of Medical Oncology, Princess Margaret Hospital, Toronto, ON M5G 2M9, Canada.
Background: Metastatic castration-resistant prostate cancer (mCRPC) has a poor prognosis, necessitating the investigation of novel treatments and targets. This study evaluated JNJ-70218902 (JNJ-902), a T-cell redirector targeting transmembrane protein with epidermal growth factor-like and 2 follistatin-like domains 2 (TMEFF2) and cluster of differentiation 3, in mCRPC.
Patients And Methods: Patients who had measurable/evaluable mCRPC after at least one novel androgen receptor-targeted therapy or chemotherapy were eligible.
Mol Biotechnol
January 2025
Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Opioids are the primary regimens for perioperative analgesia with controversial effects on oncological survival. The underlying mechanism remains unexplored. This study developed survival-related gene co-expression networks based on RNA-seq and clinical characteristics from TCGA cohort.
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