Identifying the Prognosis Factors and Predicting the Survival Probability in Patients with Non‐Metastatic Chondrosarcoma from the SEER Database

Huang, Runzhi; Sun, Zhao; Zheng, Huimin; Yan, Penghui; Hu, Peng; Yin, Huabin; Zhang, Jie; Meng, Tong; Huang, Zongqaing

doi:10.1111/os.12521

Cited by 20 publications

(25 citation statements)

References 40 publications

(61 reference statements)

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“…The result of our study suggested that the risk of death in TCLM patients with Anaplastic was signi cantly higher than that in patients with other histologic type. The studies of Hu P et al [18] and Huang R et al [19] both indicated that grade was an independent predictor of malignancy, and likewise in our study. Previous studies [20] have reported an association between tumor size level and tumor survival.…”

Section: Discussionsupporting

confidence: 90%

A Nomogram for Distinction and Potential Prediction of Lung Metastasis in Thyroid Cancer Patients

Zhang

2021

Preprint

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Background:The prognosis of thyroid cancer with lung metastasis is poor. Our aim is to develop a reliable tool to identify and predict lung metastasis (LM) in patients with thyroid cancer (TC), thereby assisting in clinical diagnosis and treatment. The aim of this study was to establish an effective Nomogram method for predicting overall survival (OS) and cancer-specific survival (CSS) in TC patients with LM. Methods: A total of 544 patients with known distant metastatic status and epidemiological variables from the SEER database were enrolled and assigned randomly to training and validating groups in this study. Logistic regression was used to screen variables and a nomogram was established. After multivariate logistic regression age, histologic type, grade, tumor size, liver metastasis, Radiotherapy, Surgery were the important variables to construct the nomogram. Results: The nomogram used to identify and predict the OS and CSS in TCLM patients passed the calibration and validation steps. The calibration curve and receiver operating characteristic curves(ROC) indicated the good performance of the nomogram.Conclusions: Our nomogram is a reliable and robust tool for the identification and prediction of LM in TC patients, thus helping to better select medical examinations and optimize treatment in collaboration with medical oncologists and surgeons.

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Section: Discussionsupporting

confidence: 90%

A Nomogram for Distinction and Potential Prediction of Lung Metastasis in Thyroid Cancer Patients

Zhang

2021

Preprint

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“…Similar to other malignancies, the grade was also an independent predictor for TCBM. [ 36 , 37 ] The result of our study suggested that the risk of death in TCBM patients with high-level grade (III, IV) was significantly higher than that in patients with low-level grade (I, II). High grade tumors also showed more extensive tumor invasion and the more complications impairing the treatment efficacy.…”

Section: Discussionmentioning

confidence: 70%

Independent risk factors evaluation for overall survival and cancer-specific survival in thyroid cancer patients with bone metastasis

Tong

Huang

et al. 2020

Medicine

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Bone is a frequent site for the occurrence of metastasis of thyroid cancer (TC). TC with bone metastasis (TCBM) is associated with skeletal-related events (SREs), with poor prognosis and low overall survival (OS). Therefore, it is necessary to develop a predictive nomogram for prognostic evaluation. This study aimed to construct an effective nomogram for predicting the OS and cancer-specific survival (CSS) of TC patients with BM. Those TC patients with newly diagnosed BM were retrospectively examined over a period of 6 years from 2010 to 2016 using data from the Surveillance, Epidemiology and End Results (SEER) database. Demographics and clinicopathological data were collected for further analysis. Patients were randomly allocated into training and validation cohorts with a ratio of ∼7:3. OS and CSS were retrieved as research endpoints. Univariate and multivariate Cox regression analyses were performed for identifying independent predictors. Overall, 242 patients were enrolled in this study. Age, histologic grade, histological subtype, tumor size, radiotherapy, liver metastatic status, and lung metastatic status were determined as the independent prognostic factors for predicting the OS and CSS in TCBM patients. Based on the results, visual nomograms were separately developed and validated for predicting 1-, 2-, and 3-year OS and CSS in TCBM patients on the ground of above results. The calibration, receiver operating characteristic (ROC) curve and decision curve analysis (DCA) also demonstrated the reliability and accuracy of the clinical prediction model. Our predictive model is expected to be a personalized and easily applicable tool for evaluating the prognosis of TCBM patients, and may contribute toward making an accurate judgment in clinical practice.

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“…In this respect, our results are similar to the literature. [11,18] When the relationship between surgical margin conditions and tumor grade is examined, the surgical margin of most Grade 1 cases was R0 and it was usually distributed as R1 and R2 in Stage 2-3 cases. Therefore, although the survival rate of the R0 group was higher than the others, no statistically significant difference was found (p=0.08).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of prognostic factors affecting survival in chondrosarcoma treatment and comparison with literature

2022

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Objectives The aim of this study was to identify the demographic characteristics of chondrosarcoma (CS) and prognostic factors affecting survival. Patients and methods A total of 87 patients (45 males, 42 females; median age: 51.3 years; range, 19 to 77 years) with CS treated in our clinic between January 2007 and June 2020 were retrospectively analyzed. Demographic characteristics, whether it was primary/secondary, tumor location, histopathological features, tumor grade and stage, clinical follow-up period, surgical treatment methods, use of radiotherapy and chemotherapy, and the presence of local recurrence and metastasis in the postoperative period were recorded. The relationship of these factors with prognosis was analyzed and survival rates were compared. Results Histological subtype, tumor grade, pathological stage and presence of metastasis were defined as independent predictors in both overall survival and disease-free survival analysis of CS. Overall and disease-free five-year and 10-year survival rates were found to be the highest in the clear cell chondrosarcoma group. While mortality increased in the first five years in the patient groups with histological Grade 2 and 3, all groups were followed in a balanced manner over time. The mortality rate in the group with metastatic disease (M2) was approximately four times higher than the other groups at 10-year follow-up. According to the surgical margins, we found that the five-year survival rates of the R1 (marginal resection) and R2 (residual tumor) groups were similar, with the highest rate being in the R0 (wide resection) group with 78.3%. In multivariate analysis, only grade and stage had a significant association with disease-specific survival. Surgical resection combined with adjuvant radiotherapy was found to increase survival in both overall and disease-free survival of patients with dedifferentiated chondrosarcoma compared to other treatments. Conclusion Histological subtype, grade, stage and presence of metastasis were the independent prognostic factors for survival in CS. However, marginal resection was a risk factor for local recurrence (LR), but there was no significant difference in overall survival in patients with or without LR. Although it is not significant, radiotherapy could increase survival in dedifferentiated CS variants.

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Identifying the Prognosis Factors and Predicting the Survival Probability in Patients with Non‐Metastatic Chondrosarcoma from the SEER Database

Cited by 20 publications

References 40 publications

A Nomogram for Distinction and Potential Prediction of Lung Metastasis in Thyroid Cancer Patients

A Nomogram for Distinction and Potential Prediction of Lung Metastasis in Thyroid Cancer Patients

Independent risk factors evaluation for overall survival and cancer-specific survival in thyroid cancer patients with bone metastasis

Evaluation of prognostic factors affecting survival in chondrosarcoma treatment and comparison with literature

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