Predictive models in external beam radiotherapy for clinically localized prostate cancer
- PMID: 19544539
- PMCID: PMC2760302
- DOI: 10.1002/cncr.24348
Predictive models in external beam radiotherapy for clinically localized prostate cancer
Abstract
Predictive models are being used increasingly in effort to allow physician and patient expectations to be aligned with outcomes that are based on available data. Most predictive models for men who receive external beam radiotherapy for clinically localized prostate cancer are based on Gleason score, clinical tumor classification, and prostate-specific antigen (PSA) levels. More sophisticated models also have been developed that incorporate treatment-related variables, such as the dose of radiation and the use of androgen-deprivation therapy. Most of the predictive models applied to prostate cancer were derived using PSA recurrence rates as the major endpoint, but clinical endpoints have been incorporated increasingly into predictive models. Biomarkers also are increasingly being added to predictive models in an effort to strengthen them. The Radiation Therapy Oncology Group (RTOG) has completed studies on a wide range of markers using tissue from 2 phase 3 trials (RTOG 8610 and 9202). To date, preliminary assessments of p53; DNA ploidy; p16/retinoblastoma 1 protein; Ki-67; mouse double-minute p53 binding protein homolog; Bcl-2/Bcl-2-associated X protein; cytosine, adenine, and guanine repeats; cyclooxygenase-2; signal transducer and activator of transcription 3; cytochrome P450 3A4; and protein kinase A have been completed. Although they are not ready for widespread, routine use, there are reasons to believe that future models will combine these markers with traditional pretreatment and treatment-related variables and will improve our ability to predict outcome and select the optimal treatment. Cancer 2009;115(13 suppl):3112-20. (c) 2009 American Cancer Society.
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References
-
- Khoo VS, Pollack A, Cowen D, Joon DL, Patel N, Terry NH, et al. Relationship of Ki-67 labeling index to DNA-ploidy, S-phase fraction, and outcome in prostate cancer treated with radiotherapy. Prostate. 1999;41(3):166–172. Available from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dop.... - PubMed
-
- Stoyanova R, Hachem P, Hensley H, Khor LY, Mu Z, Hammond ME, et al. Antisense-MDM2 sensitizes LNCaP prostate cancer cells to androgen deprivation, radiation, and the combination in vivo. Int J Radiat Oncol Biol Phys. 2007;68(4):1151–1160. Available from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dop.... - PMC - PubMed
-
- Pollack A, Grignon DJ, Heydon KH, Hammond EH, Lawton CA, Mesic JB, et al. Prostate cancer DNA ploidy and response to salvage hormone therapy after radiotherapy with or without short-term total androgen blockade: an analysis of RTOG 8610. J Clin Oncol. 2003;21(7):1238–1248. Available from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dop.... - PubMed
-
- Grignon DJ, Caplan R, Sarkar FH, Lawton CA, Hammond EH, Pilepich MV, et al. p53 status and prognosis of locally advanced prostatic adenocarcinoma: a study based on RTOG 8610. J Natl Cancer Inst. 1997;89(2):158–165. Available from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dop.... - PubMed
-
- Che M, DeSilvio M, Pollack A, Grignon DJ, Venkatesan VM, Hanks GE, et al. Prognostic value of abnormal p53 expression in locally advanced prostate cancer treated with androgen deprivation and radiotherapy: a study based on RTOG 9202. Int J Radiat Oncol Biol Phys. 2007;69(4):1117–1123. Available from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dop.... - PMC - PubMed
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