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Genomic classifier augments the role of pathological features in identifying optimal candidates for adjuvant radiation therapy in patients with prostate cancer: Development and internal validation of a multivariable prognostic model

Articolo
Data di Pubblicazione:
2017
Abstract:
Purpose: Despite documented oncologic benefit, use of postoperative adjuvant radiotherapy (aRT) in patients with prostate cancer is still limited in the United States. We aimed to develop and internally validate a risk-stratification tool incorporating the Decipher score, along with routinely available clinicopathologic features, to identify patients who would benefit the most from aRT. Patient and Methods: Our cohort included 512 patients with prostate cancer treated with radical prostatectomy at one of four US academic centers between 1990 and 2010. All patients had â ¥ pT3a disease, positive surgical margins, and/or pathologic lymph node invasion. Multivariable Cox regression analysis tested the relationship between available predictors (including Decipher score) and clinical recurrence (CR), which were then used to develop a novel risk-stratification tool. Our study adhered to the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis guidelines for development of prognostic models. Results: Overall, 21.9% of patients received aRT. Median follow-up in censored patients was 8.3 years. The 10-year CR rate was 4.9% vs. 17.4% in patients treated with aRT versus initial observation (P, .001). Pathologic T3b/T4 stage, Gleason score 8-10, lymph node invasion, and Decipher score . 0.6 were independent predictors of CR (all P, .01). The cumulative number of risk factors was 0, 1, 2, and 3 to 4 in 46.5%, 28.9%, 17.2%, and 7.4% of patients, respectively. aRT was associated with decreased CR rate in patients with two or more risk factors (10-year CR rate 10.1% in aRT v 42.1% in initial observation; P = .012), but not in those with fewer than two risk factors (P = .18). Conclusion: Using the new model to indicate aRT might reduce overtreatment, decrease unnecessary adverse effects, and reduce risk of CR in the subset of patients (approximately 25% of all patients with aggressive pathologic disease in our cohort) who benefit from this therapy.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Adult; Aged; Biomarkers, Tumor; Follow-Up Studies; Humans; Lymph Nodes; Male; Margins of Excision; Middle Aged; Multivariate Analysis; Neoplasm Grading; Neoplasm Invasiveness; Neoplasm Staging; Neoplasm, Residual; Prognosis; Prostatectomy; Prostatic Neoplasms; Radiotherapy, Adjuvant; Risk Assessment; Neoplasm Recurrence, Local; Nomograms; Oncology; Cancer Research
Elenco autori:
Dalela, Deepansh; Santiago-Jiménez, María; Yousefi, Kasra; Karnes, R. Jeffrey; Ross, Ashley E.; Den, Robert B.; Freedland, Stephen J.; Schaeffer, Edward M.; Dicker, Adam P.; Menon, Mani; Briganti, Alberto; Davicioni, Elai; Abdollah, Firas
Autori di Ateneo:
BRIGANTI ALBERTO
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/75964
Pubblicato in:
JOURNAL OF CLINICAL ONCOLOGY
Journal
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URL

http://ascopubs.org/doi/pdf/10.1200/JCO.2016.69.9918
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