Postmetastasis survival in high‐grade extremity osteosarcoma: A retrospective analysis of prognostic factors in 126 patients

Kim, Wanlim; Han, Ilkyu; Lee, Jong; Cho, Hwan-Seong; Park, Jong W.; Kim, Han‐Soo

doi:10.1002/jso.24963

Cited by 21 publications

(29 citation statements)

References 29 publications

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“…However, it is not easy to perform an en bloc tumor resection for spine osteosarcoma, and it exhibits strong local aggressiveness with a high rate of local recurrence. Moreover, osteosarcoma is likely to metastasize early through hematogenous spread (about 15–20%) [3,7,8]. Therefore, osteosarcoma has disastrous effects on individuals and society due to its major cohorts affected, undesirable prognosis, and early metastasis.…”

Section: Introductionmentioning

confidence: 99%

“…To improve the prognosis of non-metastatic osteosarcoma, it may be extremely important to find the truly significant prognostic factors. In previous case series, factors such as age at diagnosis, tumor size and location, pathology, presence and location of metastases, surgical strategy, surgical margin, and histologic respond to chemotherapy have been reported to affect overall survival (OS) [4,8–13]. However, criteria used for evaluation of surgical treatment vary among centers and even different surgeons, which may increase the heterogeneity of samples.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating and Predicting the Probability of Death in Patients with Non-Metastatic Osteosarcoma: A Population-Based Study

et al. 2019

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Background Osteosarcoma is one of the most common bone tumors, with strong local aggressiveness and early metastasis. The aim of this study was to describe the epidemiological data and evaluate the prognostic factors for overall survival (OS) and cause-specific survival (CSS) in patients with non-metastatic osteosarcoma. Material/Methods Patients histologically diagnosed with non-metastatic osteosarcoma between 2005 and 2014 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Survival analysis, machine learning, and Lasso regression were used to identify the prognostic factors for OS and CSS, and the accuracy of the nomograms was tested and compared with the American Joint Committee on Cancer (AJCC) staging systems. Results The entire cohort comprised 1000 patients with non-metastatic osteosarcoma. The multivariable analysis suggested that age, tumor size, grade, and American Joint Committee on Cancer (AJCC) T staging were independent prognostic factors for OS and CSS. Additionally, the nomograms based on these results could better predict probability of OS (Internal validation C-index, 0.7095) and CSS (0.7100) compared with the sixth (OS: 0.613; CSS: 0.628) and seventh edition AJCC staging systems (0.602, 0.613). Conclusions Relatively young age and low histopathological grade were favorable factors for both OS and CSS. Nomograms based on multivariable models worked well in predicting the probability of death for patients with non-metastatic osteosarcoma.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluating and Predicting the Probability of Death in Patients with Non-Metastatic Osteosarcoma: A Population-Based Study

et al. 2019

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“…They found that the 5-year postmetastatic survival rate was 31% with a median length of 22 months. Local recurrence prior to metastasis, extrapulmonary metastasis, and poor histological response to preoperative chemotherapy were identified as negative prognostic factors [ 22 ]. In summary, the efficiency of follow-up surveillance programmes to detect local recurrences seems to be limited.…”

Section: Discussionmentioning

confidence: 99%

Follow-Up in Bone Sarcoma Care: A Cross-Sectional European Study

Goedhart

Leithner

Ploegmakers

et al. 2020

Sarcoma

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Background. Follow-up of high-grade bone sarcoma patients with repeated radiological imaging aims at early detection of recurrent disease or distant metastasis. Repeated radiological imaging does expose (mostly young) patients to ionising radiation. At this point, it is not known whether frequent follow-up increases overall survival. Additionally, frequent follow-up subjects patients and families to psychological stress. This study aims to assess follow-up procedures in terms of frequency and type of imaging modalities in bone tumour centres across Europe for comparison and improvement of knowledge as a first step towards a more uniform approach towards bone sarcoma follow-up. Methods. Data were obtained through analysis of several follow-up protocols and a digital questionnaire returned by EMSOS members of bone tumour centres all across Europe. Results. All participating bone tumour centres attained a minimum follow-up period of ten years. National guidelines revealed variations in follow-up intervals and use of repeated imaging with ionising radiation. A local and a chest X-ray were obtained at 47.6% of the responding clinics at every follow-up patient visit. Conclusions. Variations were seen among European bone sarcoma centres with regards to follow-up intervals and use of repeated imaging. The majority of these expert centres follow existing international guidelines and find them sufficient as basis for a follow-up surveillance programme despite lack of evidence. Future research should aim towards evidence-based follow-up with focus on the effects of follow-up strategies on health outcomes, cost-effectiveness, and individualised follow-up algorithms.

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“…[2][3][4][5] However, osteosarcoma exhibits high local invasiveness and early distant metastasis, resulting in an unfavorable prognosis. [6][7][8] Osteosarcoma has a variety of histological subtypes, such as chondroblastic, fibroblastic, telangiectatic, and others. As a common subtype, chondroblastic osteosarcoma is characterized by a high proportion of the chondroid matrix.…”

Section: Introductionmentioning

confidence: 99%

Nomograms for predicting overall survival and cancer‐specific survival of chondroblastic osteosarcoma patients

Gao

Zhou

Song

et al. 2020

Journal of Surgical Oncology

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Background: The establishment of precise and personalized prediction systems for chondroblastic osteosarcoma patients is important for guiding the treatment. Methods: The univariate logrank test and multivariate Cox regression analysis were performed to identify independent prognostic factors for overall survival (OS) and cancer-specific survival (CSS). Nomograms were constructed to estimate the OS and CSS based on these factors. Internal and external validation was performed. The predictive power of the nomograms was determined by C-index and calibration plots. Results: A total of 401 chondroblastic osteosarcoma cases were identified. Univariate and multivariate analysis revealed that age at diagnosis, histological grade, tumor size, Surveillance, Epidemiology, and End Results stage, and surgical resection were independent prognostic factors for OS and CSS. The five factors were incorporated to construct the nomograms for estimating the 3-and 5-year OS and CSS. The C-index values for the internal validation of the OS and CSS nomogram were 0.732 and 0.746, respectively, and for the external validation were 0.780 and 0.808, respectively. The calibration curves revealed that the predicted OS and CSS could well match the actual survival rate. Conclusions: The nomograms for predicting 3-and 5-year OS and CSS were constructed and were proved to be accurate and reliable by the internal and external validation.

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Postmetastasis survival in high‐grade extremity osteosarcoma: A retrospective analysis of prognostic factors in 126 patients

Cited by 21 publications

References 29 publications

Evaluating and Predicting the Probability of Death in Patients with Non-Metastatic Osteosarcoma: A Population-Based Study

Evaluating and Predicting the Probability of Death in Patients with Non-Metastatic Osteosarcoma: A Population-Based Study

Follow-Up in Bone Sarcoma Care: A Cross-Sectional European Study

Nomograms for predicting overall survival and cancer‐specific survival of chondroblastic osteosarcoma patients

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