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Role of nomograms for prostate cancer in 2007

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Abstract

Nomograms have been developed to predict prostate cancer (PCa) related outcomes. We report what has been achieved and what can be expected in 2007 and in the future. We reviewed the literature to provide guidelines in terms of criteria, limitations and clinical value of nomograms in 2007. Further, we report a set of recent PCa nomograms, where certain criteria are listed which were used to develop each nomogram. Our findings suggest a demand for an update of nomograms as well as head-to-head comparisons to determine the best-suited model in select fields of PCa outcomes. In 2007 and the future, an increasing number of nomograms will address important endpoints such as PSA recurrence, local and distant metastases, or androgen-independent PCa-specific survival. Our results suggest that nomograms represent valid risk stratification models to achieve most accurate predictions. In 2007 and the future, more specific and refined nomograms will be available which address relevant clinical end points. Moreover, novel markers in PCa outcomes will be quantified using the nomogram approach.

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References

  1. Chun FK, Karakiewicz PI, Briganti A, Gallina A, Kattan MW, Montorsi F, Huland H, Graefen M (2006) Prostate cancer nomograms: an update. Eur Urol 50:914–926 [discussion 926]

    Google Scholar 

  2. Karakiewicz PI, Briganti A, Chun FK, Valiquette L (2006) Outcomes research: a methodologic review. Eur Urol 50(2):218–224

    Article  PubMed  Google Scholar 

  3. Ross PL, Scardino PT, Kattan MW (2001) A catalog of prostate cancer nomograms. J Urol 165:1562–1568

    Article  PubMed  CAS  Google Scholar 

  4. Chun FK, Steuber T, Erbersdobler A, Currlin E, Walz J, Schlomm T, Haese A, Heinzer H, McCormack M, Huland H, Graefen M, Karakiewicz PI (2006) Development and internal validation of a nomogram predicting the probability of prostate cancer Gleason sum upgrading between biopsy and radical prostatectomy pathology. Eur Urol 49:820–826

    Article  PubMed  Google Scholar 

  5. Kattan MW (2002) Nomograms. Introduction. Semin Urol Oncol 20:79–81

    PubMed  Google Scholar 

  6. Chun F, Briganti A, Graefen M, Porter C, Montorsi F, Haese A, Scattoni V, Borden L, Steuber T, Salonia A, Schlomm T, Latchemsetty K, Walz J, Kim J, Eichelberg C, Currlin E, Ahyai SA, Erbersdobler A, Valiquette L, Heinzer H, Rigatti P, Huland H, Karakiewicz PI (2007) Development and external validation of an extended repeat biopsy nomogram. J Urol 177 (2): 510–515

    Google Scholar 

  7. Chun FK, Briganti A, Graefen M, Montorsi F, Porter C, Scattoni V, Gallina A, Walz J, Haese A, Steuber T, Erbersdobler A, Schlomm T, Ahyai SA, Currlin E, Valiquette L, Heinzer H, Rigatti P, Huland H, Karakiewicz PI (2006) Development and external validation of an extended 10-core biopsy nomogram. Eur Urol, DOI:10.1016/j.eururo.2006.08.039

  8. Suzuki H, Komiya A, Kamiya N, Imamoto T, Kawamura K, Miura J, Suzuki N, Nakatsu H, Hata A, Ichikawa T (2006) Development of a nomogram to predict probability of positive initial prostate biopsy among Japanese patients. Urology 67:131–136

    Article  PubMed  Google Scholar 

  9. Walz J, Graefen M, Chun FK, Erbersdobler A, Haese A, Steuber T, Schlomm T, Huland H, Karakiewicz PI (2006) High incidence of prostate cancer detected by saturation biopsy after previous negative biopsy series. Eur Urol 50(3): 498–505

    Google Scholar 

  10. Yanke BV, Carver BS, Bianco FJ Jr, Simoneaux WJ, Venable DD, Powell IJ, Eastham JA (2006) African-American race is a predictor of prostate cancer detection: incorporation into a pre-biopsy nomogram. BJU Int 98:783–787

    Article  PubMed  Google Scholar 

  11. Steuber T, Graefen M, Haese A, Erbersdobler A, Chun FK, Schlom T, Perrotte P, Huland H, Karakiewicz PI (2006) Validation of a nomogram for prediction of side specific extracapsular extension at radical prostatectomy. J Urol 175:939–944 [discussion 944]

    Google Scholar 

  12. Svatek R, Karakiewicz PI, Shulman M, Karam J, Perrotte P, Benaim E (2006) Pre-treatment nomogram for disease-specific survival of patients with chemotherapy-naive androgen independent prostate cancer. Eur Urol 49:666–674

    Article  PubMed  Google Scholar 

  13. Shariat SF, Canto EI, Kattan MW, Slawin KM (2004) Beyond prostate-specific antigen: new serologic biomarkers for improved diagnosis and management of prostate cancer. Rev Urol 6:58–72

    PubMed  Google Scholar 

  14. Kattan MW, Eastham JA, Stapleton AM, Wheeler TM, Scardino PT (1998) A preoperative nomogram for disease recurrence following radical prostatectomy for prostate cancer. J Natl Cancer Inst 90:766–771

    Article  PubMed  CAS  Google Scholar 

  15. Kattan MW, Wheeler TM, Scardino PT (1999) Postoperative nomogram for disease recurrence after radical prostatectomy for prostate cancer. J Clin Oncol 17:1499–1507

    PubMed  CAS  Google Scholar 

  16. Stephenson AJ, Scardino PT, Eastham JA, Bianco FJ Jr, Dotan ZA, DiBlasio CJ, Reuther A, Klein EA, Kattan MW (2005) Postoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy. J Clin Oncol 23:7005–7012

    Article  PubMed  Google Scholar 

  17. Stephenson AJ, Scardino PT, Eastham JA, Bianco FJ Jr, Dotan ZA, Fearn PA, Kattan MW (2006) Preoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy. J Natl Cancer Inst 98:715–717

    PubMed  Google Scholar 

  18. Snow PB, Smith DS, Catalona WJ (1994) Artificial neural networks in the diagnosis and prognosis of prostate cancer: a pilot study. J Urol 152:1923–1926

    PubMed  CAS  Google Scholar 

  19. Partin AW, Kattan MW, Subong EN, Walsh PC, Wojno KJ, Oesterling JE, Scardino PT, Pearson JD (1997) Combination of prostate-specific antigen, clinical stage, and Gleason score to predict pathological stage of localized prostate cancer. A multi-institutional update. JAMA 277:1445–1451

    Article  PubMed  CAS  Google Scholar 

  20. Partin AW, Mangold LA, Lamm DM, Walsh PC, Epstein JI, Pearson JD (2001) Contemporary update of prostate cancer staging nomograms (Partin tables) for the new millennium. Urology 58:843–848

    Article  PubMed  CAS  Google Scholar 

  21. Conrad S, Graefen M, Pichlmeier U, Henke RP, Erbersdobler A, Hammerer PG, Huland H (2002) Prospective validation of an algorithm with systematic sextant biopsy to predict pelvic lymph node metastasis in patients with clinically localized prostatic carcinoma. J Urol 167:521–525

    Article  PubMed  Google Scholar 

  22. Graefen M, Haese A, Pichlmeier U, Hammerer PG, Noldus J, Butz K, Erbersdobler A, Henke RP, Michl U, Fernandez S, Huland H (2001) A validated strategy for side specific prediction of organ confined prostate cancer: a tool to select for nerve sparing radical prostatectomy. J Urol 165:857–863

    Article  PubMed  CAS  Google Scholar 

  23. Bradley E, Tibshirani RJ (1993) Monographs on statistics and applied probability: an introduction to the bootstrap. Champman and Hall/CRC Press, London, p 275

    Google Scholar 

  24. Eastham JA, Kattan MW, Scardino PT (2002) Nomograms as predictive models. Semin Urol Oncol 20:108–115

    Article  PubMed  Google Scholar 

  25. Karakiewicz PI, Chun FK, Briganti A, Perrotte P, McCormack M, Benard F, Valiquette L, Graefen M, Saad F (2006) Prostate cancer nomograms are superior to neural networks. Can J Urol 13(Suppl 2):18–25

    PubMed  Google Scholar 

  26. Kattan M (2002) Statistical prediction models, artificial neural networks, and the sophism “I am a patient, not a statistic”. J Clin Oncol 20:885–887

    Article  PubMed  Google Scholar 

  27. Kattan MW (2003) Judging new markers by their ability to improve predictive accuracy. J Natl Cancer Inst 95:634–635

    Article  PubMed  CAS  Google Scholar 

  28. Kattan MW (2003) Comparison of Cox regression with other methods for determining prediction models and nomograms. J Urol 170:S6–S9 [discussion S10]

    Google Scholar 

  29. Steyerberg EW, Harrell FE Jr, Borsboom GJ, Eijkemans MJ, Vergouwe Y, Habbema JD (2001) Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 54:774–781

    Article  PubMed  CAS  Google Scholar 

  30. Steyerberg EW, Harrell FE Jr, Goodman PH (1998) Neural networks, logistic regression, and calibration. Med Decis Making 18:349–350

    Article  PubMed  CAS  Google Scholar 

  31. Kattan MW (2006) Validating a prognostic model. Cancer 107:2523–2524

    Article  PubMed  Google Scholar 

  32. Vergouwe Y, Steyerberg EW, Eijkemans MJ, Habbema JD (2002) Validity of prognostic models: when is a model clinically useful? Semin Urol Oncol 20:96–107

    Article  PubMed  Google Scholar 

  33. Chun FK, Graefen M, Briganti A, Gallina A, Hopp J, Kattan MW, Huland H, Karakiewicz PI (2006) Initial biopsy outcome prediction-head-to-head comparison of a logistic regression-based nomogram versus artificial neural network. Eur Urol, DOI:10.1016/j.eururo 2006.07.021

  34. Schwarzer G, Vach W, Schumacher M (2000) On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Stat Med 19:541–561

    Article  PubMed  CAS  Google Scholar 

  35. Ross PL, Gerigk C, Gonen M, Yossepowitch O, Cagiannos I, Sogani PC, Scardino PT, Kattan MW (2002) Comparisons of nomograms and urologists’ predictions in prostate cancer. Semin Urol Oncol 20:82–88

    Article  PubMed  Google Scholar 

  36. Specht MC, Kattan MW, Gonen M, Fey J, Van Zee KJ (2005) Predicting nonsentinel node status after positive sentinel lymph biopsy for breast cancer: clinicians versus nomogram. Ann Surg Oncol 12:654–659

    Article  PubMed  Google Scholar 

  37. Chun FK, Briganti A, Antebi E, Graefen M, Currlin E, Steuber T, Schlomm T, Walz J, Haese A, Friedrich MG, Ahyai SA, Eichelberg C, Salomon G, Gallina A, Erbersdobler A, Perrotte P, Heinzer H, Huland H, Karakiewicz PI (2006) Surgical volume is related to the rate of positive surgical margins at radical prostatectomy in European patients. BJU Int 98:1204–1209

    Article  PubMed  Google Scholar 

  38. Eastham JA, Kattan MW, Riedel E, Begg CB, Wheeler TM, Gerigk C, Gonen M, Reuter V, Scardino PT (2003) Variations among individual surgeons in the rate of positive surgical margins in radical prostatectomy specimens. J Urol 170:2292–2295

    Article  PubMed  Google Scholar 

  39. Dotan ZA, Bianco FJ Jr, Rabbani F, Eastham JA, Fearn P, Scher HI, Kelly KW, Chen HN, Schoder H, Hricak H, Scardino PT, Kattan MW (2005) Pattern of prostate-specific antigen (PSA) failure dictates the probability of a positive bone scan in patients with an increasing PSA after radical prostatectomy. J Clin Oncol 23:1962–1968

    Article  PubMed  Google Scholar 

  40. Slovin SF, Wilton AS, Heller G, Scher HI (2005) Time to detectable metastatic disease in patients with rising prostate-specific antigen values following surgery or radiation therapy. Clin Cancer Res 11:8669–8673

    Article  PubMed  CAS  Google Scholar 

  41. Smaletz O, Scher HI, Small EJ, Verbel DA, McMillan A, Regan K, Kelly WK, Kattan MW (2002) Nomogram for overall survival of patients with progressive metastatic prostate cancer after castration. J Clin Oncol 20:3972–3982

    Article  PubMed  Google Scholar 

  42. Kattan MW (2004) Evaluating a new marker’s predictive contribution. Clin Cancer Res 10:822–824

    Article  PubMed  CAS  Google Scholar 

  43. Katz EM, Kattan MW (2005) How to judge a tumor marker. Nat Clin Pract Oncol 2:482–483

    Article  PubMed  Google Scholar 

  44. Kattan MW, Shariat SF, Andrews B, Zhu K, Canto E, Matsumoto K, Muramoto M, Scardino PT, Ohori M, Wheeler TM, Slawin KM (2003) The addition of interleukin-6 soluble receptor and transforming growth factor beta1 improves a preoperative nomogram for predicting biochemical progression in patients with clinically localized prostate cancer. J Clin Oncol 21:3573–3579

    Article  PubMed  CAS  Google Scholar 

  45. Steuber T, Vickers AJ, Haese A, Becker C, Pettersson K, Chun FK, Kattan MW, Eastham JA, Scardino PT, Huland H, Lilja H (2006) Risk assessment for biochemical recurrence prior to radical prostatectomy: significant enhancement contributed by human glandular kallikrein 2 (hK2) and free prostate specific antigen (PSA) in men with moderate PSA-elevation in serum. Int J Cancer 118:1234–1240

    Article  PubMed  CAS  Google Scholar 

  46. Stephenson AJ, Smith A, Kattan MW, Satagopan J, Reuter VE, Scardino PT, Gerald WL (2005) Integration of gene expression profiling and clinical variables to predict prostate carcinoma recurrence after radical prostatectomy. Cancer 104:290–298

    Article  PubMed  CAS  Google Scholar 

  47. Steuber T, Chun FK, Erbersdobler A, Briganti A, Haese A, Graefen M, Schlomm T, Valiquette L, Huland H, Karakiewicz PI (2006) Development and internal validation of preoperative transition zone prostate cancer nomogram. Urology 68(6):1295–1300

    Google Scholar 

  48. Steyerberg EW, Roobol MJ, Kattan MW, van der Kwast TH, de Koning HJ, Schroder FH (2007) Prediction of indolent prostate cancer: validation and updating of a prognostic nomogram. J Urol 177:107–112 [discussion 112]

    Google Scholar 

  49. Kattan MW, Eastham JA, Wheeler TM, Maru N, Scardino PT, Erbersdobler A, Graefen M, Huland H, Koh H, Shariat SF, Slawin KM, Ohori M (2003) Counseling men with prostate cancer: a nomogram for predicting the presence of small, moderately differentiated, confined tumors. J Urol 170:1792–1797

    Article  PubMed  Google Scholar 

  50. Gallina A, Chun F, Briganti A, Shariat S, Montorsi F, Salonia A, Erbersdobler A, Rigatti P, Valiquette L, Huland H, Graefen M, Karakiewicz P (2007) Development and split-sample validation of a nomogram predicting the probability of seminal vesicle invasion at radical prostatectomy. Eur Urol (in press)

  51. Briganti A, Chun FK, Salonia A, Zanni G, Scattoni V, Valiquette L, Rigatti P, Montorsi F, Karakiewicz PI (2006) Validation of a nomogram predicting the probability of lymph node invasion among patients undergoing radical prostatectomy and an extended pelvic lymphadenectomy. Eur Urol 49:1019–1027

    Article  PubMed  Google Scholar 

  52. Briganti A, Chun FK, Salonia A, Zanni G, Gallina A, Deho F, Suardi N, Pozzo LF, Valiquette L, Rigatti P, Montorsi F, Karakiewicz PI (2007) A nomogram for staging of exclusive nonobturator lymph node metastases in men with localized prostate cancer. Eur Urol 51:112–120

    Article  PubMed  Google Scholar 

  53. Graefen M, Karakiewicz PI, Cagiannos I, Klein E, Kupelian PA, Quinn DI, Henshall SM, Grygiel JJ, Sutherland RL, Stricker PD, de Kernion J, Cangiano T, Schroder FH, Wildhagen MF, Scardino PT, Kattan MW (2002) Validation study of the accuracy of a postoperative nomogram for recurrence after radical prostatectomy for localized prostate cancer. J Clin Oncol 20:951–956

    Article  PubMed  Google Scholar 

  54. Graefen M, Karakiewicz PI, Cagiannos I, Quinn DI, Henshall SM, Grygiel JJ, Sutherland RL, Stricker PD, Klein E, Kupelian P, Skinner DG, Lieskovsky G, Bochner B, Huland H, Hammerer PG, Haese A, Erbersdobler A, Eastham JA, de Kernion J, Cangiano T, Schroder FH, Wildhagen MF, van der Kwast TH, Scardino PT, Kattan MW (2002) International validation of a preoperative nomogram for prostate cancer recurrence after radical prostatectomy. J Clin Oncol 20:3206–3212

    Article  PubMed  Google Scholar 

  55. Kattan MW, Potters L, Blasko JC, Beyer DC, Fearn P, Cavanagh W, Leibel S, Scardino PT (2001) Pretreatment nomogram for predicting freedom from recurrence after permanent prostate brachytherapy in prostate cancer. Urology 58:393–399

    Article  PubMed  CAS  Google Scholar 

  56. Kattan MW, Zelefsky MJ, Kupelian PA, Scardino PT, Fuks Z, Leibel SA (2000) Pretreatment nomogram for predicting the outcome of three-dimensional conformal radiotherapy in prostate cancer. J Clin Oncol 18:3352–3359

    PubMed  CAS  Google Scholar 

  57. Porter CR, Kodama K, Gibbons RP, Correa R Jr, Chun FK, Perrotte P, Karakiewicz PI (2006) 25-Year prostate cancer control and survival outcomes: a 40-year radical prostatectomy single institution series. J Urol 176:569–574

    Article  PubMed  Google Scholar 

  58. Kattan MW, Zelefsky MJ, Kupelian PA, Cho D, Scardino PT, Fuks Z, Leibel SA (2003) Pretreatment nomogram that predicts 5-year probability of metastasis following three-dimensional conformal radiation therapy for localized prostate cancer. J Clin Oncol 21:4568–4571

    Article  PubMed  Google Scholar 

  59. Cowen ME, Halasyamani LK, Kattan MW (2006) Predicting life expectancy in men with clinically localized prostate cancer. J Urol 175:99–103

    Article  PubMed  Google Scholar 

  60. Porter CR, Gallina A, Kodama K, Gibbons RP, Correa R Jr, Perrotte P, Karakiewicz PI (2006) Prostate cancer-specific survival in men treated with hormonal therapy after failure of radical prostatectomy. Eur Urol, DOI:10.1016/j.eururo.2006.11.027

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Acknowledgments

Pierre I. Karakiewicz is partially supported by the Fonds de la Recherche en Santé du Québec, the CHUM Foundation, the Department of Surgery and Les Urologues Associés du CHUM.

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Authors and Affiliations

  1. Department of Urology, University of Hamburg, Martinistrasse 52, 20246, Hamburg, Germany

    Felix K.-H. Chun & Hartwig Huland

  2. Cancer Prognostics and Health Outcomes Unit, University of Montreal, Montreal, QC, Canada

    Pierre I. Karakiewicz

  3. Martini Clinic, Prostate Cancer Center, University of Hamburg, Hamburg, Germany

    Hartwig Huland & Markus Graefen

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  1. Felix K.-H. Chun
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  2. Pierre I. Karakiewicz
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  4. Markus Graefen
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Correspondence to Felix K.-H. Chun.

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Chun, F.KH., Karakiewicz, P.I., Huland, H. et al. Role of nomograms for prostate cancer in 2007. World J Urol 25, 131–142 (2007). https://doi.org/10.1007/s00345-007-0146-y

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