Development and external validation of nomograms predicting distant metastases and overall survival after neoadjuvant chemotherapy and surgery for patients with nonmetastatic osteosarcoma: A multi-institutional study
- PMID: 26194185
- PMCID: PMC5034754
- DOI: 10.1002/cncr.29575
Development and external validation of nomograms predicting distant metastases and overall survival after neoadjuvant chemotherapy and surgery for patients with nonmetastatic osteosarcoma: A multi-institutional study
Abstract
Background: In this era of individualized cancer treatment, data that could be applied to predicting the survival of patients with osteosarcoma are still limited because of the rarity of the disease and the difficulty in accumulating a sufficient number of patients. Therefore, a multi-institutional collaboration was implemented to develop and externally validate nomograms that would predict metastasis-free survival (MFS) and overall survival (OAS) for patients with nonmetastatic osteosarcoma.
Methods: This study retrospectively examined 1070 patients treated with neoadjuvant chemotherapy and surgery for nonmetastatic osteosarcoma. Data from Japanese patients (n = 557) were used to develop multivariate nomograms based on Cox regression. Six clinical and pathologic variables were built into nomograms estimating the probability of MFS and OAS 3 and 5 years after diagnosis. The model was internally validated for discrimination and calibration with bootstrap resampling and was externally validated with an independent patient cohort from Korea (n = 513).
Results: A patient's age, tumor site, and histologic response were found to have a stronger influence on MFS and OAS in the model than sex, tumor size, or pathologic fracture. The nomograms and calibration plots based on these results well predicted the probability of MFS (concordance index, 0.631) and OAS (concordance index, 0.679). The concordance indices for external validation were 0.682 for MFS and 0.665 for OAS.
Conclusions: The nomograms were externally validated and verified to be useful for the prediction of MFS and OAS and for the assessment of the postoperative prognosis. They can be used for counseling patients and for establishing appropriate surveillance strategies after surgery.
Keywords: external validation; nomogram; osteosarcoma; prognosis; survival.
© 2015 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society.
Figures
Similar articles
-
Prognostic nomogram for predicting the 5-year probability of developing metastasis after neo-adjuvant chemotherapy and definitive surgery for AJCC stage II extremity osteosarcoma.Ann Oncol. 2009 May;20(5):955-60. doi: 10.1093/annonc/mdn723. Epub 2009 Jan 19. Ann Oncol. 2009. PMID: 19153123
-
Can a Nomogram Help to Predict the Overall and Cancer-specific Survival of Patients With Chondrosarcoma?Clin Orthop Relat Res. 2018 May;476(5):987-996. doi: 10.1007/s11999.0000000000000152. Clin Orthop Relat Res. 2018. PMID: 29470233 Free PMC article.
-
Development and external validation of two nomograms to predict overall survival and occurrence of distant metastases in adults after surgical resection of localised soft-tissue sarcomas of the extremities: a retrospective analysis.Lancet Oncol. 2016 May;17(5):671-80. doi: 10.1016/S1470-2045(16)00010-3. Epub 2016 Apr 5. Lancet Oncol. 2016. PMID: 27068860
-
Primary bone osteosarcoma in the pediatric age: state of the art.Cancer Treat Rev. 2006 Oct;32(6):423-36. doi: 10.1016/j.ctrv.2006.05.005. Epub 2006 Jul 24. Cancer Treat Rev. 2006. PMID: 16860938 Review.
-
Prognostic and predictive factors in patients with brain metastases from solid tumors: A review of published nomograms.Crit Rev Oncol Hematol. 2018 Jun;126:13-18. doi: 10.1016/j.critrevonc.2018.03.018. Epub 2018 Mar 29. Crit Rev Oncol Hematol. 2018. PMID: 29759555 Review.
Cited by
-
A clinical prediction model for lung metastasis risk in osteosarcoma: A multicenter retrospective study.Front Oncol. 2023 Feb 10;13:1001219. doi: 10.3389/fonc.2023.1001219. eCollection 2023. Front Oncol. 2023. PMID: 36845714 Free PMC article.
-
Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma.Front Oncol. 2022 Feb 22;12:802234. doi: 10.3389/fonc.2022.802234. eCollection 2022. Front Oncol. 2022. PMID: 35273911 Free PMC article.
-
Characteristics and prognosis of pelvic Ewing sarcoma: a SEER population-based study.PeerJ. 2019 Sep 17;7:e7710. doi: 10.7717/peerj.7710. eCollection 2019. PeerJ. 2019. PMID: 31576245 Free PMC article.
-
Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study.J Orthop Surg Res. 2021 Mar 30;16(1):231. doi: 10.1186/s13018-021-02376-8. J Orthop Surg Res. 2021. PMID: 33785046 Free PMC article.
-
LncRNA FTX inhibition restrains osteosarcoma proliferation and migration via modulating miR-320a/TXNRD1.Cancer Biol Ther. 2020 Apr 2;21(4):379-387. doi: 10.1080/15384047.2019.1702405. Epub 2020 Jan 10. Cancer Biol Ther. 2020. PMID: 31920141 Free PMC article.
References
-
- Rosen G, Marcove RC, Huvos AG, et al. Primary osteogenic sarcoma: eight‐year experience with adjuvant chemotherapy. J Cancer Res Clin Oncol. 1983;106(suppl):55‐67. - PubMed
-
- Eilber F, Giuliano A, Eckardt J, Patterson K, Moseley S, Goodnight J. Adjuvant chemotherapy for osteosarcoma: a randomized prospective trial. J Clin Oncol. 1987;5:21‐26. - PubMed
-
- Link MP, Goorin AM, Miser AW, et al. The effect of adjuvant chemotherapy on relapse‐free survival in patients with osteosarcoma of the extremity. N Engl J Med. 1986;314:1600‐1606. - PubMed
-
- Link MP, Goorin AM, Horowitz M, et al. Adjuvant chemotherapy of high‐grade osteosarcoma of the extremity. Updated results of the Multi‐Institutional Osteosarcoma Study. Clin Orthop Relat Res. 1991:8‐14. - PubMed
-
- Bielack SS, Kempf‐Bielack B, Delling G, et al. Prognostic factors in high‐grade osteosarcoma of the extremities or trunk: an analysis of 1,702 patients treated on neoadjuvant cooperative osteosarcoma study group protocols. J Clin Oncol. 2002;20:776‐790. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical