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Predicting the Risk of Recurrence in Retroperitoneal Sarcoma

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Current Treatment of Retroperitoneal Sarcomas

Part of the book series: Updates in Surgery ((UPDATESSURG))

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References

  1. Lewis JJ, Leung D, Casper ES et al (1999) Multifactorial analysis of long-term follow-up (more than 5 years) of primary extremity sarcoma. Arch Surg 134(2):190–194

    Article  CAS  Google Scholar 

  2. Morrison BA (2003) Soft tissue sarcomas of the extremities. Proc (Bayl Univ Med Cent) 16(3):285–290

    Article  Google Scholar 

  3. Bonvalot S, Raut CP, Pollock RE et al (2012) Technical considerations in surgery for retroperitoneal sarcomas: position paper from E-Surge, a master class in sarcoma surgery, and EORTC-STBSG. Ann Surg Oncol 19(9):2981–2991

    Article  Google Scholar 

  4. Gronchi A, Strauss DC, Miceli R et al (2016) Variability in patterns of recurrence after resection of primary retroperitoneal sarcoma (RPS): a report on 1007 patients from the Multi-institutional Collaborative RPS Working Group. Ann Surg 263(5):1002–1009

    Article  Google Scholar 

  5. MacNeill AJ, Miceli R, Strauss DC et al (2017) Post-relapse outcomes after primary extended resection of retroperitoneal sarcoma: a report from the Trans-Atlantic RPS Working Group. Cancer 123(11):1971–1978

    Article  CAS  Google Scholar 

  6. Bradburn MJ, Clark TG, Love SB, Altman DG (2003) Survival analysis part II: multivariate data analysis — an introduction to concepts and methods. Br J Cancer 89(3):431–436

    Article  CAS  Google Scholar 

  7. Cox DR (1972) Regression models and life tables. J R Stat Soc Series B Stat Methodol 34(2):187–220

    Google Scholar 

  8. Dignam JJ, Zhang Q, Kocherginsky M (2012) The use and interpretation of competing risks regression models. Clin Cancer Res 18(8):2301–2308

    Article  Google Scholar 

  9. Fine JP, Gray RJ (1999) A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 94(446):496–509

    Article  Google Scholar 

  10. Balachandran VP, Gonen M, Smith JJ, DeMatteo RP (2015) Nomograms in oncology: more than meets the eye. Lancet Oncol 16(4):e173–e180

    Article  Google Scholar 

  11. Kattan MW, Leung DH, Brennan MF (2002) Postoperative nomogram for 12-year sarcoma-specific death. J Clin Oncol 20(3):791–796

    Article  Google Scholar 

  12. Crago AM, Denton B, Salas S et al (2013) A prognostic nomogram for prediction of recurrence in desmoid fibromatosis. Ann Surg 258(2):347–353

    Article  Google Scholar 

  13. Dalal KM, Kattan MW, Antonescu CR et al (2006) Subtype specific prognostic nomogram for patients with primary liposarcoma of the retroperitoneum, extremity, or trunk. Ann Surg 244(3):381–391

    PubMed  PubMed Central  Google Scholar 

  14. Canter RJ, Qin LX, Maki RG et al (2008) A synovial sarcoma-specific preoperative nomogram supports a survival benefit to ifosfamide-based chemotherapy and improves risk stratification for patients. Clin Cancer Res 14(24):8191–8197

    Article  CAS  Google Scholar 

  15. Callegaro D, Miceli R, Mariani L et al (2017) Soft tissue sarcoma nomograms and their incorporation into practice. Cancer 123(15):2802–2820

    Article  Google Scholar 

  16. Anaya DA, Lahat G, Wang X et al (2010) Postoperative nomogram for survival of patients with retroperitoneal sarcoma treated with curative intent. Ann Oncol 21(2):397–402

    Article  CAS  Google Scholar 

  17. Ardoino I, Miceli R, Berselli M et al (2010) Histology-specific nomogram for primary retroperitoneal soft tissue sarcoma. Cancer 116(10):2429–2436

    PubMed  Google Scholar 

  18. Gronchi A, Miceli R, Shurell E et al (2013) Outcome prediction in primary resected retroperitoneal soft tissue sarcoma: histology-specific overall survival and disease-free survival nomograms built on major sarcoma center data sets. J Clin Oncol 31(13):1649–1655

    Article  Google Scholar 

  19. Raut CP, Miceli R, Strauss DC et al (2016) External validation of a multi-institutional retroperitoneal sarcoma nomogram. Cancer 122(9):1417–1424

    Article  Google Scholar 

  20. Chou YS, Liu CY, Chang YH et al (2016) Prognostic factors of primary resected retro-peritoneal soft tissue sarcoma: analysis from a single Asian tertiary center and external validation of Gronchi’s nomogram. J Surg Oncol 113(4):355–360

    Article  Google Scholar 

  21. Tan MC, Brennan MF, Kuk D et al (2016) Histology-based classification predicts pattern of recurrence and improves risk stratification in primary retroperitoneal sarcoma. Ann Surg 263(3):593–600

    Article  Google Scholar 

  22. Callegaro D, Miceli R, Gladdy RA (2018) Prognostic models for RPS patients — Attempting to predict patient outcomes. J Surg Oncol 117(1):69–78

    Article  Google Scholar 

  23. Chibon F, Lagarde P, Salas S et al (2010) Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity. Nat Med 16(7):781–787

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Sarcoma Service, Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy

    Dario Callegaro

Authors
  1. Dario Callegaro
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  2. Alessandro Gronchi
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  3. Andrea Napolitano
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  4. Bruno Vincenzi
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Corresponding author

Correspondence to Dario Callegaro .

Editor information

Editors and Affiliations

  1. Surgical Oncology Unit, Department of Surgery, Humanitas Clinical and Research Center, Rozzano, Milan, Italy

    Vittorio Quagliuolo

  2. Sarcoma Service, Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy

    Alessandro Gronchi

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Callegaro, D., Gronchi, A., Napolitano, A., Vincenzi, B. (2019). Predicting the Risk of Recurrence in Retroperitoneal Sarcoma. In: Quagliuolo, V., Gronchi, A. (eds) Current Treatment of Retroperitoneal Sarcomas. Updates in Surgery. Springer, Milano. https://doi.org/10.1007/978-88-470-3980-3_12

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  • DOI: https://doi.org/10.1007/978-88-470-3980-3_12

  • Publisher Name: Springer, Milano

  • Print ISBN: 978-88-470-3979-7

  • Online ISBN: 978-88-470-3980-3

  • eBook Packages: MedicineMedicine (R0)

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