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

Huang, Runzhi; Shi, Tingting; Yan, Penghui; Hu, Peng; Yin, Huabin; Meng, Tong; Huang, Zongqiang

doi:10.12659/msm.915418

Cited by 12 publications

(8 citation statements)

References 31 publications

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“…Compared to subtotal excision, en-bloc tumor resection with wide margins (R0), recommended by many spine surgeons, offers long-term disease control for most PSMs (27)(28)(29). However, the treatment information in the SEER database does not include these data which limits the power of similar studies (15,30).…”

Section: Discussionmentioning

confidence: 99%

“…The Surveillance, Epidemiology, and End Results (SEER) database is a widely used database consisting clinical data of cancer patients (13). Previous studies focused on the clinical features and predictors of PSMs in SEER database were only based on one tumor type with a relative short period, which limit their reliability (13)(14)(15). The nomogram is a visual statistical predictive tool for identifying clinically relevant prognostic factors.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, patients from 2004 to 2016 with full treatment information were used to identify the prognostic factors. Based on the identified prognostic factors by regression analysis methods, the nomograms were constructed to evaluate the OS and cause specific survival (CSS) of each individual ( 15 ). In general, our finding may identify the comprehensive clinical features of patients with PSMs and provide the well applicable nomograms.…”

Section: Introductionmentioning

confidence: 99%

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The Clinical Characteristics and Prediction Nomograms for Primary Spine Malignancies

et al. 2021

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BackgroundPrimary spine malignancies (PSMs) are relatively rare in bone tumors. Due to their rarity, the clinical characteristics and prognostic factors are still ambiguous. In this study, we aim to identify the clinical features and proposed prediction nomograms for patients with PSMs.MethodsPatients diagnosed with PSMs including chordoma, osteosarcoma, chondrosarcoma, Ewing sarcoma, and malignant giant cell tumor of bone (GCTB) between 1975 and 2016 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. The patient and tumor characteristics were described based on clinical information. The significant prognostic factors of overall survival (OS) and cancer-specific survival (CSS) were identified by the univariate and multivariate Cox analysis. Then, the nomograms for OS and CSS were established based on the selected predictors and their accuracy was explored by the Cox–Snell residual plot, area under the curve (AUC) of receiver operator characteristic (ROC) and calibration curve.ResultsThe clinical information of 1,096 patients with PSMs was selected from the SEER database between 1975 and 2016. A total of 395 patients were identified with full survival and treatment data between 2004 and 2016. Chordoma is the commonest tumor with 400 cases, along 172 cases with osteosarcoma, 240 cases with chondrosarcoma, 262 cases with Ewing sarcoma and 22 cases with malignant GCTB. The univariate and multivariate analyses revealed that older age (Age > 60), distant metastasis, chemotherapy, and Surgery were independent predictors for OS and/or CSS. Based on these results, the nomograms were established with a better applicability (AUC for CSS: 0.784; AUC for OS: 0.780).ConclusionsThis study provides the statistics evidence for the clinical characteristics and predictors for patients with PSMs based on a large size population. Additionally, precise prediction nomograms were also established with a well-applicability.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Clinical Characteristics and Prediction Nomograms for Primary Spine Malignancies

et al. 2021

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“…Osteosarcoma of the spine is a rare malignant tumor with the potential for local invasive destruction and systemic metastasis, and is considered to have a poor prognosis (19,20). Osteosarcoma mainly occurs in adolescents or young adults, which seriously damages social productivity (21). Surgery is one of the effective treatments for osteosarcoma (22), but osteosarcoma of the spine is excluded in a considerable proportion of cases due to its aggressiveness and the special anatomical structure adjacent to the spinal cord and nerve roots (23).…”

Section: Discussionmentioning

confidence: 99%

Treatment of Osteosarcoma from the spine: A population-based database study

Tang¹,

Wang

Xu³

et al. 2020

Preprint

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PurposeThe treatment of osteosarcoma of the spine remains controversial. Our aim is to explore the treatment of patients with spinal osteosarcoma.MethodsWe analyzed the date collected 727 spinal osteosarcoma patients from the Surveillance Epidemiology and End Results (SEER) databases between 1973 and 2015. X-tile software was performed to find the optimal cut-off values of age and economic income. Univariate and Multivariate Cox analyses were used to identify the independent prognostic factors. Logistic regression model was conducted to clear the factors associated to surgical compliance; Kaplan-Meier estimator method was adopted to analyze the Overall survival (OS) and Cancer-specific survival (CSS).ResultsAmong 727 eligible spinal osteosarcoma patients, 370 (50.9%) patients received surgical treatment, 357 (49.1%) cases without surgery. There were significant differences in the effects of age at diagnosis, SEER historic stage and tumor grade on surgical treatment (All P < 0.05). Surgery was an independent prognostic factor for OS and CSS of spinal osteosarcoma patients. Spinal osteosarcoma patients undergone surgery group showed favorable survival than the other group.ConclusionsSurgery can provide survival benefits for patients with osteosarcoma of the spine. Spinal osteosarcoma patients with undergone surgery have favorable survival and surgery can become a suitable treatment for patients.

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“…It is most often seen in adolescents and originates in bone tissue, commonly in the epiphysis of bones. Osteosarcoma of the limbs can be cured in about 75% of cases with current treatments [3].…”

Section: Introductionmentioning

confidence: 99%

A Death-Related Gene Signature for Prognosis with Osteosarcoma

Xie

Tan

et al. 2021

Preprint

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Purpose: Osteosarcoma is one of the most prevalent malignancies, and despite significant advances in its treatment, patient prognosis remains poor and survival rates are low. It is undoubtedly important to explore the possible reasons for the low survival rates of patients and to reveal the differences.Methods and Results: We obtained RNA-Seq (HT seq) and clinical characteristics of osteosarcoma patients from the TCGA database and divided them into survival group and death group. We defined the differentially expressed genes (DEGs) between the two groups as death-related genes (DRGs) and used them to construct a prognostic signature for overall survival of patients with osteosarcoma. The results of the validation demonstrated satisfactory accuracy and predictive prognostic value of the model. In addition, we performed a series of bioinformatic analyses that identified two key genes and the regulatory networks they constituted that may play a role in the progression of osteosarcoma.Conclusion: Our DRGs signature represents a novel and clinically useful prognostic biomarker for patients with osteosarcoma, helping to aid clinical decision-making.

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

Cited by 12 publications

References 31 publications

The Clinical Characteristics and Prediction Nomograms for Primary Spine Malignancies

The Clinical Characteristics and Prediction Nomograms for Primary Spine Malignancies

Treatment of Osteosarcoma from the spine: A population-based database study

A Death-Related Gene Signature for Prognosis with Osteosarcoma

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