Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Active surveillance for prostate cancer: current evidence and contemporary state of practice

Key Points

  • The nature of a given active surveillance (AS) protocol is dependent on the three core components of AS: criteria for selection, monitoring strategy, and triggers for intervention

  • Among large AS programmes, selection criteria range from very-low-risk to intermediate-risk disease, and monitoring protocols vary widely in frequency of prostate biopsy; histological upgrading is a trigger for intervention in most programmes

  • In AS cohorts with at least 5 years of available follow-up data, treatment was pursued in 24–40% of men; metastatic disease occurred in 0.1–2.8%, and prostate-cancer-specific death in 0–1.5%

  • Intermediate-term outcomes are dependent on programme-specific criteria; intensive programmes (close monitoring, low intervention thresholds) are associated with high rates of treatment and low rates of adverse oncological outcomes

  • In the absence of a single optimal AS protocol, individualizing AS intensiveness to each man's risks and expectations is a reasonable approach, only once he has been counselled on the existing data and its known limitations

  • Accurate measurement and reporting of time-dependent data are critical in order to establish reliable benchmarks for counselling and pave the way toward identifying an optimized approach

Abstract

Prostate cancer remains one of the most commonly diagnosed malignancies worldwide. Early diagnosis and curative treatment seem to improve survival in men with unfavourable-risk cancers, but significant concerns exist regarding the overdiagnosis and overtreatment of men with lower-risk cancers. To this end, active surveillance (AS) has emerged as a primary management strategy in men with favourable-risk disease, and contemporary data suggest that use of AS has increased worldwide. Although published surveillance cohorts differ by protocol, reported rates of metastatic disease and prostate-cancer-specific mortality are exceedingly low in the intermediate term (5–10 years). Such outcomes seem to be closely associated with programme-specific criteria for selection, monitoring, and intervention, suggesting that AS — like other management strategies — could be individualized based on the level of risk acceptable to patients in light of their personal preferences. Additional data are needed to better establish the risks associated with AS and to identify patient-specific characteristics that could modify prognosis.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Recent years have seen a surge in the use of AS for patients with low-risk (CAPRA 0–2) prostate cancer, from a low of 6.7% between 1990 and 2009 to 40.4% between 2010 and 2013.
Figure 2: Prostate cancer is heterogeneous in nature, with a spectrum of disease ranging from indolent to highly lethal.

Similar content being viewed by others

References

  1. Schröder, F. H. et al. Screening and prostate cancer mortality: results of the European Randomised Study of Screening for Prostate Cancer (ERSPC) at 13 years of follow-up. Lancet 384, 2027–2035 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  2. Bill-Axelson, A. et al. Radical prostatectomy or watchful waiting in early prostate cancer. N. Engl. J. Med. 370, 932–942 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Wilt, T. J. et al. Radical prostatectomy versus observation for localized prostate cancer. N. Engl. J. Med. 367, 203–213 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Loeb, S. et al. Overdiagnosis and overtreatment of prostate cancer. Eur. Urol. 65, 1046–1055 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Heijnsdijk, E. A. M. et al. Quality-of-life effects of prostate-specific antigen screening. N. Engl. J. Med. 367, 595–605 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Cooperberg, M. R., Carroll, P. R. & Klotz, L. Active surveillance for prostate cancer: progress and promise. J. Clin. Oncol. 29, 3669–3676 (2011).

    Article  PubMed  Google Scholar 

  7. Choo, R. et al. Feasibility study: watchful waiting for localized low to intermediate grade prostate carcinoma with selective delayed intervention based on prostate specific antigen, histological and/or clinical progression. J. Urol. 167, 1664–1669 (2002).

    Article  PubMed  Google Scholar 

  8. Carter, H. B., Walsh, P. C., Landis, P. & Epstein, J. I. Expectant management of nonpalpable prostate cancer with curative intent: preliminary results. J. Urol. 167, 1231–1234 (2002).

    Article  PubMed  Google Scholar 

  9. Cooperberg, M. R., Broering, J. M., Kantoff, P. W. & Carroll, P. R. Contemporary trends in low risk prostate cancer: risk assessment and treatment. J. Urol. 178, S14–S19 (2007).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Cooperberg, M. R. & Carroll, P. R. Trends in management for patients with localized prostate cancer, 1990–2013. JAMA 314, 80–82 (2015).

    Article  CAS  PubMed  Google Scholar 

  11. Murphy, D. G. & Loeb, S. Prostate cancer: growth of AS in the USA signals reduction in overtreatment. Nat. Rev. Urol. 12, 604–605 (2015).

    Article  PubMed  Google Scholar 

  12. Ingimarsson, J. P., Celaya, M. O., Laviolette, M., Rees, J. R. & Hyams, E. S. Trends in initial management of prostate cancer in New Hampshire. Cancer Causes Control 26, 923–929 (2015).

    Article  PubMed  Google Scholar 

  13. Womble, P. R. et al. Contemporary use of initial active surveillance among men in Michigan with low-risk prostate cancer. Eur. Urol. 67, 44–50 (2014).

    Article  PubMed  Google Scholar 

  14. Filson, C. P. et al. Expectant management of veterans with early-stage prostate cancer. Cancer 122, 626–633 (2015).

    Article  PubMed  Google Scholar 

  15. Loeb, S., Berglund, A. & Stattin, P. Population based study of use and determinants of active surveillance and watchful waiting for low and intermediate risk prostate cancer. J. Urol. 190, 1742–1749 (2013).

    Article  PubMed  Google Scholar 

  16. Weerakoon, M. et al. The current use of active surveillance in an Australian cohort of men: a pattern of care analysis from the Victorian Prostate Cancer Registry. BJU Int. 115 (Suppl.), 50–56 (2015).

    Article  PubMed  Google Scholar 

  17. Mitsuzuka, K. et al. Current use of active surveillance for localized prostate cancer: a nationwide survey in Japan. Int. J. Urol. 22, 754–759 (2015).

    Article  PubMed  Google Scholar 

  18. Louis, A. S. et al. Oncologic outcomes following radical prostatectomy in the active surveillance era. Can. Urol. Assoc. J. 7, E475–E480 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  19. Huland, H. & Graefen, M. Changing trends in surgical management of prostate cancer: the end of overtreatment? Eur. Urol. 68, 175–178 (2015).

    Article  PubMed  Google Scholar 

  20. Tosoian, J. J. et al. Intermediate and longer-term outcomes from a prospective active-surveillance program for favorable-risk prostate cancer. J. Clin. Oncol. 33, 3379–3385 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Klotz, L. et al. Long-term follow-up of a large active surveillance cohort of patients with prostate cancer. J. Clin. Oncol. 33, 272–277 (2015).

    Article  PubMed  Google Scholar 

  22. Godtman, R. A., Holmberg, E., Khatami, A., Stranne, J. & Hugosson, J. Outcome following active surveillance of men with screen-detected prostate cancer. Results from the Göteborg randomised population-based prostate cancer screening trial. Eur. Urol. 63, 101–107 (2013).

    Article  PubMed  Google Scholar 

  23. Welty, C. J. et al. Extended followup and risk factors for disease reclassification in a large active surveillance cohort for localized prostate cancer. J. Urol. 193, 807–811 (2015).

    Article  PubMed  Google Scholar 

  24. Selvadurai, E. D. et al. Medium-term outcomes of active surveillance for localised prostate cancer. Eur. Urol. 64, 981–987 (2013).

    Article  PubMed  Google Scholar 

  25. Thompson, J. E. et al. Medium-term oncological outcomes for extended versus saturation biopsy and transrectal versus transperineal biopsy in active surveillance for prostate cancer. BJU Int. 115, 884–891 (2015).

    Article  PubMed  Google Scholar 

  26. Bul, M. et al. Active surveillance for low-risk prostate cancer worldwide: the PRIAS study. Eur. Urol. 63, 597–603 (2013).

    Article  PubMed  Google Scholar 

  27. Thomsen, F. B., Røder, M. A., Hvarness, H., Iversen, P. & Brasso, K. Active surveillance can reduce overtreatment in patients with low-risk prostate cancer. Dan. Med. J. 60, A4575 (2013).

    PubMed  Google Scholar 

  28. Soloway, M. S. et al. Careful selection and close monitoring of low-risk prostate cancer patients on active surveillance minimizes the need for treatment. Eur. Urol. 58, 831–835 (2010).

    Article  PubMed  Google Scholar 

  29. Epstein, J. I., Walsh, P. C. & Brendler, C. B. Radical prostatectomy for impalpable prostate cancer: the Johns Hopkins experience with tumors found on transurethral resection (stages T1A and T1B) and on needle biopsy (stage T1C). J. Urol. 152, 1721–1729 (1994).

    Article  CAS  PubMed  Google Scholar 

  30. Bastian, P. J., Mangold, L. A., Epstein, J. I. & Partin, A. W. Characteristics of insignificant clinical T1c prostate tumors. Cancer 101, 2001–2005 (2004).

    Article  PubMed  Google Scholar 

  31. Mohler, J. L. et al. Clinical Practice Guidelines in Oncology (NCCN Guideline): Prostate Cancer. Version 2 (2016).

    Google Scholar 

  32. Umbehr, M. H. et al. Serum prostate-specific antigen (PSA) concentration is positively associated with rate of disease reclassification on subsequent active surveillance prostate biopsy in men with low PSA density. BJU Int. 113, 561–567 (2014).

    Article  CAS  PubMed  Google Scholar 

  33. Faisal, F. A. et al. Outcomes of men with an elevated prostate-specific antigen (PSA) level as their sole preoperative intermediate- or high-risk feature. BJU Int. 114, E120–E129 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Reese, A. C., Landis, P., Han, M., Epstein, J. I. & Carter, H. B. Expanded criteria to identify men eligible for active surveillance of low risk prostate cancer at Johns Hopkins: a preliminary analysis. J. Urol. 190, 2033–2038 (2013).

    Article  PubMed  Google Scholar 

  35. Loeb, S. et al. Active surveillance for prostate cancer: a systematic review of clinicopathologic variables and biomarkers for risk stratification. Eur. Urol. 67, 619–626 (2015).

    Article  PubMed  Google Scholar 

  36. Adamy, A. et al. Role of prostate specific antigen and immediate confirmatory biopsy in predicting progression during active surveillance for low risk prostate cancer. J. Urol. 185, 477–482 (2011).

    Article  PubMed  Google Scholar 

  37. Soloway, M. S. et al. Active surveillance; a reasonable management alternative for patients with prostate cancer: the Miami experience. BJU Int. 101, 165–169 (2008).

    PubMed  Google Scholar 

  38. Ross, A. E. et al. Prostate-specific antigen kinetics during follow-up are an unreliable trigger for intervention in a prostate cancer surveillance program. J. Clin. Oncol. 28, 2810–2816 (2010).

    Article  CAS  PubMed  Google Scholar 

  39. Whitson, J. M. et al. The relationship between prostate specific antigen change and biopsy progression in patients on active surveillance for prostate cancer. J. Urol. 185, 1656–1660 (2011).

    Article  PubMed  Google Scholar 

  40. Klotz, L. Defining 'progression' and triggers for curative intervention during active surveillance. Curr. Opin. Urol. 25, 258–266 (2015).

    Article  PubMed  Google Scholar 

  41. Iremashvili, V. et al. Comprehensive analysis of post-diagnostic prostate-specific antigen kinetics as predictor of a prostate cancer progression in active surveillance patients. BJU Int. 111, 396–403 (2013).

    Article  PubMed  Google Scholar 

  42. Patel, H. D. et al. Prostate specific antigen velocity risk count predicts biopsy reclassification for men with very low risk prostate cancer. J. Urol. 191, 629–637 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  43. San Francisco, I. F. et al. Risk stratification and validation of prostate specific antigen density as independent predictor of progression in men with low risk prostate cancer during active surveillance. J. Urol. 185, 471–476 (2011).

    Article  PubMed  Google Scholar 

  44. Catalona, W. J. et al. A multicenter study of [-2]pro-prostate specific antigen combined with prostate specific antigen and free prostate specific antigen for prostate cancer detection in the 2.0 to 10.0 ng/ml prostate specific antigen range. J. Urol. 185, 1650–1655 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Loeb, S. et al. The Prostate Health Index selectively identifies clinically significant prostate cancer. J. Urol. 193, 1163–1169 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  46. Tosoian, J. J. et al. Association of [-2]proPSA with biopsy reclassification during active surveillance for prostate cancer. J. Urol. 188, 1131–1136 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Hirama, H., Sugimoto, M., Ito, K., Shiraishi, T. & Kakehi, Y. The impact of baseline [−2]proPSA-related indices on the prediction of pathological reclassification at 1 year during active surveillance for low-risk prostate cancer: the Japanese multicenter study cohort. J. Cancer Res. Clin. Oncol. 140, 257–263 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  48. Lin, D. W. et al. Urinary TMPRSS2:ERG and PCA3 in an active surveillance cohort: results from a baseline analysis in the canary prostate active surveillance study. Clin. Cancer Res. 19, 2442–2450 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Tosoian, J. J. et al. Accuracy of PCA3 measurement in predicting short-term biopsy progression in an active surveillance program. J. Urol. 183, 534–538 (2010).

    Article  CAS  PubMed  Google Scholar 

  50. Cornu, J.-N. N. et al. Urine TMPRSS2:ERG fusion transcript integrated with PCA3 score, genotyping, andbiological features are correlated to the results of prostatic biopsies in men at risk of prostate cancer. Prostate 73, 242–249 (2013).

    Article  CAS  PubMed  Google Scholar 

  51. Cuzick, J. et al. Prognostic value of a cell cycle progression signature for prostate cancer death in a conservatively managed needle biopsy cohort. Br. J. Cancer 106, 1095–1099 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Bishoff, J. T. et al. Prognostic utility of the cell cycle progression score generated from biopsy in men treated with prostatectomy. J. Urol. 192, 409–414 (2014).

    Article  PubMed  Google Scholar 

  53. Freedland, S. J. et al. Prognostic utility of cell cycle progression score in men with prostate cancer after primary external beam radiation therapy. Int. J. Radiat. Oncol. Biol. Phys. 86, 848–853 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  54. Crawford, E. D. et al. Cell cycle progression score and treatment decisions in prostate cancer: results from an ongoing registry. Curr. Med. Res. Opin. 30, 1025–1031 (2014).

    Article  PubMed  Google Scholar 

  55. Klein, E. A. et al. A 17-gene assay to predict prostate cancer aggressiveness in the context of Gleason grade heterogeneity, tumor multifocality, and biopsy undersampling. Eur. Urol. 66, 550–560 (2014).

    Article  PubMed  Google Scholar 

  56. Cullen, J. et al. A biopsy-based 17-gene genomic prostate score predicts recurrence after radical prostatectomy and adverse surgical pathology in a racially diverse population of men with clinically low- and intermediate-risk prostate cancer. Eur. Urol. 68, 123–131 (2014).

    Article  PubMed  Google Scholar 

  57. Blume-Jensen, P. et al. Development and clinical validation of an in situ biopsy based multi-marker assay for risk stratification in prostate cancer. Clin. Cancer Res. http://dx.doi.org/10.1158/1078-0432.CCR-14-2603 (2015).

  58. Hamoen, E. H. J., de Rooij, M., Witjes, J. A., Barentsz, J. O. & Rovers, M. M. Use of the Prostate Imaging Reporting and Data System (PI-RADS) for prostate cancer detection with multiparametric magnetic resonance imaging: a diagnostic meta-analysis. Eur. Urol. 67, 1112–1121 (2014).

    Article  PubMed  Google Scholar 

  59. Dianat, S. S. et al. Association of quantitative magnetic resonance imaging parameters with histological findings from MRI/ultrasound fusion prostate biopsy. Can. J. Urol. 22, 7965–7972 (2015).

    PubMed  Google Scholar 

  60. Russo, F. et al. Detection of prostate cancer index lesions with multiparametric magnetic resonance imaging (mp-MRI) using whole-mount histological sections as the reference standard. BJU Int. http://dx.doi.org/10.1111/bju.13234 (2015).

  61. Vargas, H. A. et al. Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference. Eur. Radiol. http://dx.doi.org/10.1007/s00330-015-4015-6 (2015).

  62. Fütterer, J. J. et al. Can clinically significant prostate cancer be detected with multiparametric magnetic resonance imaging? A systematic review of the literature. Eur. Urol. 68, 1045–1053 (2015).

    Article  PubMed  Google Scholar 

  63. Siddiqui, M. M. et al. Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer. JAMA 313, 390 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. de Cobelli, O. et al. Predicting pathological features at radical prostatectomy in patients with prostate cancer eligible for active surveillance by multiparametric magnetic resonance imaging. PLoS ONE 10, e0139696 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  65. Maxeiner, A. et al. Added value of multiparametric ultrasonography in magnetic resonance imaging and ultrasonography fusion-guided biopsy of the prostate in patients with suspicion for prostate cancer. Urology 86, 108–114 (2015).

    Article  PubMed  Google Scholar 

  66. Meng, X. et al. Relationship between prebiopsy multiparametric magnetic resonance imaging (MRI), biopsy indication, and MRI-ultrasound fusion-targeted prostate biopsy outcomes. Eur. Urol. 69, 512–517 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  67. Eggener, S. E. et al. Predicting 15-year prostate cancer specific mortality after radical prostatectomy. J. Urol. 185, 869–875 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  68. Cooperberg, M. R. et al. Outcomes of active surveillance for men with intermediate-risk prostate cancer. J. Clin. Oncol. 29, 228–234 (2011).

    Article  PubMed  Google Scholar 

  69. Bechis, S. K., Carroll, P. R. & Cooperberg, M. R. Impact of age at diagnosis on prostate cancer treatment and survival. J. Clin. Oncol. 29, 235–241 (2011).

    Article  PubMed  Google Scholar 

  70. Campodonico, F. & Maffezzini, M. Active surveillance in young patients with prostate cancer: the unanswered question. J. Clin. Oncol. 28, e211; author reply e212 (2010).

    Article  PubMed  Google Scholar 

  71. Lin, D. W., Porter, M. & Montgomery, B. Treatment and survival outcomes in young men diagnosed with prostate cancer. Cancer 115, 2863–2871 (2009).

    Article  PubMed  Google Scholar 

  72. Howlader, N. et al. SEER cancer statistics review, 1975–2011. National Cancer Institute [online], (2014).

  73. Hampson, L. A., Cowan, J. E., Zhao, S., Carroll, P. R. & Cooperberg, M. R. Impact of age on quality-of-life outcomes after treatment for localized prostate cancer. Eur. Urol. 68, 480–486 (2015).

    Article  PubMed  Google Scholar 

  74. McGinley, K. F., Tay, K. J. & Moul, J. W. Prostate cancer in men of African origin. Nat. Rev. Urol. 13, 99–107 (2016).

    Article  CAS  PubMed  Google Scholar 

  75. Odom, B. D. et al. Active surveillance for low-risk prostate cancer in African American men: a multi-institutional experience. Urology 83, 364–368 (2014).

    Article  PubMed  Google Scholar 

  76. Silberstein, J. L. et al. Active surveillance of prostate cancer in African American men. Urology 84, 1255–1261 (2014).

    Article  PubMed  Google Scholar 

  77. Ha, Y.-S. et al. Increased incidence of pathologically nonorgan confined prostate cancer in African-American men eligible for active surveillance. Urology 81, 831–835 (2013).

    Article  PubMed  Google Scholar 

  78. Sundi, D. et al. African American men with very low-risk prostate cancer exhibit adverse oncologic outcomes after radical prostatectomy: should active surveillance still be an option for them? J. Clin. Oncol. 31, 2991–2997 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  79. Moul, J. W. Prostate cancer: active surveillance in African American men. Nat. Rev. Urol. 10, 311–312 (2013).

    Article  PubMed  Google Scholar 

  80. Iremashvili, V., Soloway, M. S., Rosenberg, D. L. & Manoharan, M. Clinical and demographic characteristics associated with prostate cancer progression in patients on active surveillance. J. Urol. 187, 1594–1600 (2012).

    Article  PubMed  Google Scholar 

  81. Abern, M. R. et al. Race is associated with discontinuation of active surveillance of low-risk prostate cancer: results from the Duke Prostate Center. Prostate Cancer Prostatic Dis. 16, 85–90 (2012).

    Article  PubMed  Google Scholar 

  82. Sundi, D. et al. Pathologic examination of radical prostatectomies in men with very-low-risk disease at biopsy reveals distinct zonal distribution of cancer in African American men. J. Urol. 191, 60–67 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  83. Pettaway, C. A. et al. Prostate specific antigen and pathological features of prostate cancer in black and white patients: a comparative study based on radical prostatectomy specimens. J. Urol. 160, 437–442 (1998).

    Article  CAS  PubMed  Google Scholar 

  84. Schreiber, D., Chhabra, A., Rineer, J., Weedon, J. & Schwartz, D. A. Population-based study of men with low-volume low-risk prostate cancer: does African-American race predict for more aggressive disease? Clin. Genitourin. Cancer 13, e259–e264 (2015).

    Article  PubMed  Google Scholar 

  85. Pietzak, E. J. et al. Impact of race on selecting appropriate patients for active surveillance with seemingly low-risk prostate cancer. Urology 85, 436–440 (2015).

    Article  PubMed  Google Scholar 

  86. Pound, C. R. et al. Natural history of progression after PSA elevation following radical prostatectomy. JAMA 281, 1591–1597 (1999).

    Article  CAS  PubMed  Google Scholar 

  87. Punnen, S., Pavan, N. & Parekh, D. J. Finding the wolf in sheep's clothing: the 4Kscore is a novel blood test that can accurately identify the risk of aggressive prostate cancer. Rev. Urol. 17, 3–13 (2015).

    PubMed  PubMed Central  Google Scholar 

  88. Sammon, J. D. et al. Predicting life expectancy in men diagnosed with prostate cancer. Eur. Urol. 68, 756–765 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  89. Kent, M. & Vickers, A. J. A. Systematic literature review of life expectancy prediction tools for patients with localized prostate cancer. J. Urol. 193, 1938–1942 (2015).

    Article  PubMed  Google Scholar 

  90. El Hajj, A. et al. Patient selection and pathological outcomes using currently available active surveillance criteria. BJU Int. 112, 471–477 (2013).

    Article  PubMed  Google Scholar 

  91. Ploussard, G. et al. Can we expand active surveillance criteria to include biopsy Gleason 3+4 prostate cancer? A multi-institutional study of 2,323 patients. Urol. Oncol. 33, 71.e1–71.e9 (2015).

    Article  Google Scholar 

  92. Ankerst, D. P. et al. Precision medicine in active surveillance for prostate cancer: development of the Canary–Early Detection Research Network Active Surveillance Biopsy Risk Calculator. Eur. Urol. 68, 1083–1088 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  93. Tosoian, J. J. et al. Pathological outcomes in men with low risk and very low risk prostate cancer: implications on the practice of active surveillance. J. Urol. 190, 1218–1222 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  94. Mamawala, M. et al. Risk prediction tool for grade reclassification in active surveillance. J. Urol. (in the press).

  95. Alam, R., Carter, H. B., Landis, P., Epstein, J. I. & Mamawala, M. Conditional probability of reclassification in an active surveillance program for prostate cancer. J. Urol. 193, 1950–1955 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  96. Linder, B. J. et al. Standard and saturation transrectal prostate biopsy techniques are equally accurate among prostate cancer active surveillance candidates. Int. J. Urol. 20, 860–864 (2013).

    Article  PubMed  Google Scholar 

  97. Inoue, L. Y. T., Trock, B. J., Partin, A. W., Carter, H. B. & Etzioni, R. Modeling grade progression in an active surveillance study. Stat. Med. 33, 930–939 (2014).

    Article  PubMed  Google Scholar 

  98. Radtke, J. P. et al. Comparative analysis of transperineal template-saturation prostate biopsy versus MRI-targeted biopsy with MRI-US fusion-guidance. J. Urol. 193, 87–94 (2014).

    Article  PubMed  Google Scholar 

  99. Bjurlin, M. A. et al. Optimization of initial prostate biopsy in clinical practice: sampling, labeling and specimen processing. J. Urol. 189, 2039–2046 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  100. Berglund, R. K. et al. Pathological upgrading and up staging with immediate repeat biopsy in patients eligible for active surveillance. J. Urol. 180, 1964–1967; discussion 1967–1968 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  101. Kates, M. et al. Indications for intervention during active surveillance of prostate cancer: a comparison of the Johns Hopkins and PRIAS protocols. BJU Int. 115, 216–222 (2014).

    Article  PubMed  Google Scholar 

  102. National Comprehensive Cancer Network. About NCCN. [online]

  103. Pierorazio, P. M., Walsh, P. C., Partin, A. W. & Epstein, J. I. Prognostic Gleason grade grouping: data based on the modified Gleason scoring system. BJU Int. 111, 753–760 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

S.L. is supported by the Laura & Isaac Perlmutter NYU Cancer Center (P30CA016087), the Louis Feil Charitable Lead Trust and the National Institutes of Health under Award Number K07CA178258. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Contributions

J.J.T., A.L. and S.L. researched data for the article. All authors contributed to discussion of content, wrote the manuscript, and reviewed and edited the article before submission.

Corresponding author

Correspondence to Jeffrey J. Tosoian.

Ethics declarations

Competing interests

S.L. has acted as an advisor for Bayer Corp. The other authors declare no competing interests.

PowerPoint slides

Glossary

Favourable-risk

Defined herein as a composite group consisting of NCCN very-low-risk and low-risk prostate cancer.

Progression

A variably defined term, typically in reference to an increase in risk classification. Depending on source, progression can be defined according to any number of measures, including, but not limited, to clinical stage, serological findings, histological findings, radiographic imaging, symptomatology, and requirement of initial or additional therapies. As such, progression should be explicitly defined when used, and its use should be deferred in favour of more specific language as possible.

Reclassification

Increase in risk categorization based specifically on prostate biopsy findings; the term reclassification includes volume reclassification and grade reclassification.

National Comprehensive Cancer Network

(NCCN). An alliance of leading US cancer centres devoted to patient care, research, and education. The NCCN develops and communicates scientific, evaluative information to better inform the decision-making process between patients and physicians102.

Low-intermediate risk

A subpopulation within the NCCN intermediate-risk category that includes only those men with Gleason score 3 + 4 = 7 disease (prognostic grade group 2 as defined by Pierorazio et al.103).

Risk classification

Use of patient-specific data to classify patients according to their risk of disease recurrence or progression. Unless otherwise indicated, risk categorization is herein based upon NCCN definitions of very-low-risk, low-risk, intermediate-risk, or high-risk clinically localized disease31.

Volume reclassification

Increase in risk categorization based on increased volume of cancer on prostate biopsy. As very-low-risk cancer is the only risk category based on cancer-volume-specific criteria, volume reclassification occurs only in men harbouring very-low-risk disease.

Grade reclassification

Increase in risk categorization based on evidence of a higher grade of cancer on prostate biopsy (Gleason score upgrading). The term traditionally refers to men on AS with Gleason score 3 + 3 = 6 cancer who are subsequently found to have any Gleason pattern 4 or 5 cancer.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tosoian, J., Carter, H., Lepor, A. et al. Active surveillance for prostate cancer: current evidence and contemporary state of practice. Nat Rev Urol 13, 205–215 (2016). https://doi.org/10.1038/nrurol.2016.45

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nrurol.2016.45

This article is cited by

Search

Quick links

Nature Briefing: Cancer

Sign up for the Nature Briefing: Cancer newsletter — what matters in cancer research, free to your inbox weekly.

Get what matters in cancer research, free to your inbox weekly. Sign up for Nature Briefing: Cancer