Reclassified the phenotypes of cancer types and construct a nomogram for predicting bone metastasis risk: A pan-cancer analysis.

BACKGROUND: Numerous of models have been developed to predict the bone metastasis (BM) risk; however, due to the variety of cancer types, it is difficult for clinicians to use these models efficiently. We aimed to perform the pan-cancer analysis to create the cancer classification system for BM, and construct the nomogram for predicting the BM risk. METHODS: Cancer patients diagnosed between 2010 and 2018 in the Surveillance, Epidemiology, and End Results (SEER) database were included. Unsupervised hierarchical clustering analysis was performed to create the BM prevalence-based cancer classification system (BM-CCS). Multivariable logistic regression was applied to investigate the possible associated factors for BM and construct a nomogram for BM risk prediction. The patients diagnosed between 2017 and 2018 were selected for validating the performance of the BM-CCS and the nomogram, respectively. RESULTS: A total of 50 cancer types with 2,438,680 patients were included in the construction model. Unsupervised hierarchical clustering analysis classified the 50 cancer types into three main phenotypes, namely, categories A, B, and C. The pooled BM prevalence in category A (17.7%; 95% CI: 17.5%-17.8%) was significantly higher than that in category B (5.0%; 95% CI: 4.5%-5.6%), and category C (1.2%; 95% CI: 1.1%-1.4%) (p < 0.001). Advanced age, male gender, race, poorly differentiated grade, higher T, N stage, and brain, lung, liver metastasis were significantly associated with BM risk, but the results were not consistent across all cancers. Based on these factors and BM-CCS, we constructed a nomogram for predicting the BM risk. The nomogram showed good calibration and discrimination ability (AUC in validation cohort = 88%,95% CI: 87.4%-88.5%; AUC in construction cohort = 86.9%,95% CI: 86.8%-87.1%). The decision curve analysis also demonstrated the clinical usefulness. CONCLUSION: The classification system and prediction nomogram may guide the cancer management and individualized BM screening, thus allocating the medical resources to cancer patients. Moreover, it may also have important implications for studying the etiology of BM.

Patterns and treatment outcomes of primary bone tumors in children treated at tertiary referral hospital, Ethiopia.

BACKGROUND: Bone tumors account for approximately 6% of all cancers in children. Malignant bone tumors, commonly occurring in children and adolescents, are associated with high mortality and morbidity. The overall survival of children with primary malignant bone tumors is affected by the stage of disease, time of diagnosis, and treatment response. Despite advanced treatment modalities with chemotherapy, surgery, and radiotherapy, bone tumor is the third leading cause of death in children with malignancy. Patients with metastatic disease at diagnosis have poor outcomes compared to localized disease at presentation. The 5-year Overall Survival and event-free survival in children with primary malignant bone tumors were 85.2% and 69.2%. The study aimed to assess the clinicopathological profile and treatment outcomes of children with primary malignant bone tumors in our setup. MATERIALS AND METHODS: A hospital-based cross-sectional study was conducted on 95 children who met the inclusion criteria through structured questionnaire. The collected data were analyzed using a statistical package for social sciences (SPSS) version 25. P-value < 0.05 was considered to be statistically significant. Kaplan Meier survival estimate was used for overall and event-free survival analysis. RESULTS: A total of ninety-five patients met the study inclusion criteria and the median age at diagnosis with primary malignant bone tumors was 10 years, with an interquartile range of 8-12 years. The duration of the illness from the onset of symptoms to the oncologic treatment center ranges from three weeks to 2 years with a mean duration of five months. Swelling was the commonest presenting symptom accounting for 95.8% (n = 91). Lower extremity was the commonest primary site of involvement accounting for 55.8% (n = 53) of children with primary malignant bone tumors. Osteosarcoma was the commonest malignant bone tumor constituted 66.3% (n = 63), followed by Ewing sarcoma at 33.7% (n = 32). About 41.2% (n = 39) of children had metastatic disease at presentation and the lung was the commonest site of distant metastasis. The Kaplan Meier survival estimate analysis showed the 1-year and 5-year overall survival probabilities for all pediatric primary malignant bone tumor patients were 65% (95% CI: 0.3-0.56) and 38% (95% CI:0.19-0.47) respectively. The 1-year and 5-year event-free survival probabilities were 55% (95% CI: 0.32-0.73) and 33% (95% CI: 0.10-0.59). The stage of the disease at presentation had a significant association with the outcome (p = 0.023). CONCLUSION: Our study showed the mean duration of the illness from the onset of symptoms to the oncologic treatment center was 5 months ranging from 3 weeks to 2 years. More than one-third of the presented with metastatic disease at presentation. The 1-year and 5-year overall survival (OS) probabilities of children with primary malignant bone tumors were low in our setup compared to other studies.

Treatments and prognostic factors for bone and soft tissue sarcoma in non-urban areas in Japan.

BACKGROUND: Although bone and soft tissue sarcoma is recognized as a rare cancer that originates throughout the body, few comprehensive reports regarding it have been published in Japan. PATIENTS AND METHODS: Bone and soft tissue sarcomas were tabulated from the Cancer Registries at eight university hospitals in the Chugoku-Shikoku region. Prognostic factors in cases were extracted in a single facility and have been analyzed. RESULTS: From 2016 to 2019, 3.4 patients with bone and soft tissue sarcomas per a general population of 100,000 were treated at eight university hospitals. The number of patients who underwent multidisciplinary treatment involving collaboration among multiple clinical departments has been increasing recently. In the analysis carried out at a single institute (Ehime University Hospital), a total of 127 patients (male/female: 54/73) with an average age of 67.0 y (median 69.5) were treated for four years, with a 5-year survival rate of 55.0%. In the analysis of prognostic factors by multivariate, disease stage and its relative treatment, renal function (creatinine), and a patient's ability of self-judgment, and a patient's mobility and physical capability were associated with patient prognosis regarding bone and soft tissue sarcomas. Interestingly, age did not affect the patient's prognosis (> 70 vs ≦ 70). CONCLUSIONS: Physical and social factors may affect the prognosis of patients with bone and soft tissue sarcomas, especially those living in non-urban areas.

Prognostic factors of sarcomas occurring in bone and joint: A SEER based study.

To clarify the epidemiology, treatment, and prognosis of sarcomas occurring in the bones and joints. The surveillance, epidemiology, and end results (SEER) 18 registries, comprising sarcoma diagnoses made between 2008 and 2014, were queried for sarcomas arising in bones or joints. Kaplan-Meier analysis, multivariate logistic regression analysis, Cox proportional hazards model, and nomograms were used to identify prognostic factors. 2794 patients aged from 1 to 99 (55.8% male) with microscopically confirmed diagnosed as sarcomas (including osteosarcoma, chondrosarcoma, Ewing sarcoma, and soft tissue sarcomas) which primary site limited to bone and joint were identified. Eight independent factors, including age, race, sex, tumor site, histology, pathology grade, tumor size, and total number of malignant tumors (TNOMT), were associated with tumor metastasis. Nine independent prognostic factors, including age (>=60 year, hazard ratio [HR] = 4.145, 95% confidence interval [CI], P < .001), sex (female, HR = 0.814, 95%CI, P = .007), tumor site (spine, HR = 2.527, 95%CI, P < .001), histology, pathology grade (undifferentiated, HR = 5.816, 95%CI, P < .001), tumor size (>=20 cm, HR = 3.043, 95%CI, P < .001), tumor extent (distant, HR = 4.145, 95%CI, P < .001), surgery (no performed, HR = 2.436, 95%CI, P < .001), and TNOMT (1, HR = 0.679, 95%CI, P < .001, were identified and incorporated to construct a nomogram for 2- and 5-year overall survival (OS). The calibration curve for the probability of survival showed good agreement between prediction by the nomogram and actual observation. The C-index of the nomogram for survival prediction was 0.814. Patients who received chemotherapy had a significantly decreased risk of death only for Ewing sarcoma, poorly differentiated tumors, undifferentiated tumors, and distant tumor invasion (P < .05). However, radiotherapy did not show significant differences in OS. This study presents population-based estimates of prognosis for patients with bone sarcomas and demonstrates the impact of age, race, sex, tumor site, histology, pathology grade, tumor size, tumor extent, surgery, radiotherapy, chemotherapy, and the TNOMT on OS. Moreover, the nomogram resulted in a more accurate prognostic prediction. However, in our study, radiotherapy showed no survival benefit, perhaps because detailed data on treatment factors were unavailable and which may have influenced the results.

Prevalence and prognosis of bone metastases in common solid cancers at initial diagnosis: a population-based study.

OBJECTIVE: Bone is one of the most common target sites for advanced tumours. The objective was to survey the prevalence and prognosis of bone metastases in 12 common solid malignant tumours. DESIGN: A retrospective cohort study. METHODS: A total of 1 425 332 patients with a primary cancer between 2010 and 2015 were identified using the Surveillance, Epidemiology, and End Results database. We computed the prevalence and prognosis of bone metastases in each cancer and compared their survival in different stages. The Kaplan-Meier method and Cox logistic regression were used to analyse survival and quantify the effect of bone metastases. RESULTS: This study included 89 782 patients with bone metastases at diagnosis. Lung cancer had the highest prevalence (18.05%), followed by liver cancer (6.63%), nasopharyngeal carcinoma (6.33%) and renal cancer (5.45%). Breast cancer (32.1%), prostate cancer (25.9%), thyroid cancer (46.9%) and nasopharyngeal carcinoma (24.8%) with only bone metastases had a 5-year survival rate of over 20%. Compared with patients at the stage previous to metastasis, bone metastases significantly increased the risk of mortality and decreased survival, especially for those with prostate cancer (adjusted HR: 18.24). Other concomitant extraosseous metastases worsened patient survival. Bone was the most common site of metastasis for prostate cancer, while for colorectal cancer, multiorgan metastases were predominant. CONCLUSIONS: This study provides the prevalence and prognosis of bone metastases at the initial diagnosis of common solid cancers. In addition, it demonstrates the impact of bone metastases on survival. These results can be used for early screening of metastases, clinical trial design and assessment of prognosis.

Primary malignant bone tumors incidence, mortality, and trends in China from 2000 to 2015.

BACKGROUND: Primary malignant bone tumors are uncommon, and their epidemiological features are rarely reported. We aimed to study the incidence and death characteristics of bone tumors from 2000 to 2015. METHODS: Population-based cancer registries submitted registry data to National Central Cancer Registry of China (NCCRC). The data collected from 501 local cancer registries in China were assessed using NCCRC screening methods and criteria. Incidence and mortality rates of primary bone tumor were stratified by age group, gender, and area. Age-standardized incidence and mortality rates were adjusted using the Chinese standard population in 2000 and Segi's world population. The annual percentage change (APC) in rate was calculated using the Joinpoint Regression Program. RESULTS: Data from 368 registries met quality control criteria, of which 134 and 234 were from urban and rural areas, respectively. The data covered 309,553,499 persons. The crude incidence, age-standardized incidence, and crude mortality rates were 1.77, 1.35, and 1.31 per 100,000, respectively. Incidence and mortality rates were higher in males than those in females; they showed downward trends, with declines of 2.2% and 4.8% per year, respectively, and the rates in urban areas were lower than those in rural areas. Significant declining trends were observed in urban areas. Stable trends were seen in rural areas during 2000 to 2007, followed by downward trends. Age-specific incidence and mortality rates showed stable trends in the age group of 0 to 19 years, and downward trends in the age group elder than 19 years. CONCLUSIONS: The incidence and mortality rates of primary malignant bone tumors in rural areas were higher compared to those in urban areas. Targeted prevention measures are required to monitor and control bone tumor incidence and improve the quality of life of affected patients. This research can provide a scientific basis for the prevention and control of bone tumors, as well as basic information for follow-up research.

Impact of Prior Cancer on the Prognosis of Patients with Chondrosarcoma: A Population-Based Study of the SEER Database.

Background: Patients with prior cancer are generally exempt from cancer experiments. This research aims to describe the prevalence, clinical features, and effects of past malignancy among patients with chondrosarcoma. Methods: Chondrosarcoma patients diagnosed between 2010 to 2015 were collected from the SEER database. The propensity score matching method was used to reconcile the disparity in baseline attributes. Kaplan-Meier analysis was employed to explore the outcomes of prior cancer on overall survival. The proportional hazards assumption was used to certain whether the covariate matched the Cox regression model. The potential outliers were estimated by deviance residuals type. Results: A total of 1,721 unique individuals were collected, of those 284 (16.50%) patients had a history of cancer, with prostate cancer being commonly documented (n = 49, 17.25%). Approximately half of the previous tumors are diagnosed within 5 years before the diagnosis of chondrosarcoma. Chondrosarcoma patients with prior cancers have a lower survival rate than those without prior malignancy (P < .001). A multivariable Cox analysis reveals that past cancer is a distinct risk factor for lifespan (hazard ratio = 2.489, P < .001). Conclusion: This study initially discovered that chondrosarcoma patients with past cancer have a bad prognosis. Different types of past cancer have varying effects on survival. We urgently propose that cancer trial exclusion criteria be set specifically by cancer classification, rather than accepting the unchangeable criterion for default.

Risk factors for distant metastasis of chondrosarcoma: A population-based study.

Chondrosarcoma is the second largest bone malignancy after osteosarcoma and mainly affects middle-aged adults, where patients with distant metastasis (DM) often have a poor prognosis. Although nomograms have been widely used to predict distant tumor metastases, there is a lack of large-scale data studies for the diagnostic evaluation of DM in chondrosarcoma. Data on patients diagnosed with chondrosarcoma from 2004 to 2015 were obtained from the Surveillance, Epidemiology, and End Results database. Independent risk factors for having DM from chondrosarcoma were screened using univariate and multivariate logistics regression analysis. A nomogram was created to predict the probability of DM from the screened independent risk factors. The nomogram was then validated using receiver operating characteristic curves and calibration curves. A total of 1870 chondrosarcoma patients were included in the study after data screening, of which 157 patients (8.40%) had DM at the time of diagnosis. Univariate and multivariate logistic regression analysis screened four independent risk factors, including grade, tumor number, T stage, and N stage. receiver operating characteristic curves and calibration curves showed good accuracy of the nomogram in both training and validation sets. The current study screened for independent risk factors for DM from chondrosarcoma, which will help clinicians evaluate patients.

Characteristics and prognostic factors of adult patients with osteosarcoma from the SEER database.

Osteosarcoma is the most common bone malignancy. There are many studies on the prognostic factors of children and adolescents, but the characteristics and prognostic factors of adult osteosarcoma are rarely studied. The aim of this study was to construct a nomogram for predicting the prognosis of adult osteosarcoma. Information on all osteosarcoma patients aged ≥ 18 years from 2004 to 2015 was downloaded from the surveillance, epidemiology and end results database. A total of 70% of the patients were included in the training set and 30% of the patients were included in the validation set. Univariate log-rank analysis and multivariate cox regression analysis were used to screen independent risk factors affecting the prognosis of adult osteosarcoma. These risk factors were used to construct a nomogram to predict 3-year and 5-year prognosis in adult osteosarcoma. Multivariate cox regression analysis yielded 6 clinicopathological features (age, primary site, tumor size, grade, American Joint Committee on Cancer stage, and surgery) for the prognosis of adult osteosarcoma patients in the training cohort. A nomogram was constructed based on these predictors to assess the prognosis of adult patients with osteosarcoma. Concordance index, receiver operating characteristic and calibration curves analyses also showed satisfactory performance of the nomogram in predicting prognosis. The constructed nomogram is a helpful tool for exactly predicting the prognosis of adult patients with osteosarcoma, which could enable patients to be more accurately managed in clinical practice.

Bone Metastases in Patients with Pancreatic NETs: Prevalence and Prognosis.

The clinical relevance of bone metastases (BM) in advanced pancreatic neuroendocrine tumors (PanNETs) is poorly described. We analyzed 314 consecutive PanNET patients treated at the European Neuroendocrine Tumour Society (ENETS) Center Essen between 2009 and 2021 in terms of the occurrence and clinical and prognostic impact of BM using hybrid imaging with 68Ga-DOTATOC PET/CT. According to UICC staging, 171/314 (54.5%) patients had stage IV PanNETs. BM was diagnosed in 62/171 (36.3%) patients. Initially, 35% of BMs were visible by pathological tracer uptake only. Skeletal-related events (SREs) were detected in 11 of the 62 patients (17.7%). Patients with antiresorptive therapy had a significantly lower rate of SRE (2/36, 5.6%) than individuals without bone-specific therapy (9/26, 34.6%) (odds ratio 9.0, p=0.0054, Fisher's exact test). The median overall survival (OS) was 82 months (53.6-110.4, 95% CI) in the stage IV PanNET cohort. The median OS was significantly lower for patients with BM (63 months; 49.9-76.0, 95% CI) than for patients with distant metastases other than BM (116 months; 87.6-144.3, 95% CI) (p=0.016, log-rank test). BM occurs in more than one-third of advanced PanNETs and is associated with an unfavorable prognosis. One in five patients experiences a persistent quality-of-life-lowering SRE. Antiresorptive therapy is associated with a more favorable risk of SREs and should be offered to all patients with BM in PanNETs.

Establishment and validation of a competitive risk model for predicting cancer-specific survival in patients with osteosarcoma: a population-based study.

BACKGROUND: Osteosarcoma is the most common primary bone tumor with a poor prognosis. The aim of this study was to establish a competitive risk model nomogram to predict cancer-specific survival in patients with osteosarcoma. METHODS: Patient data was obtained from the Surveillance, Epidemiology, and End Results database in the United States. A sub-distribution proportional hazards model was used to analyze independent risk factors affecting cancer-specific mortality (CSM) in osteosarcoma patients. Based on these risk factors, a competitive risk model was constructed to predict 1-year, 3-year, and 5-year cancer-specific survival (CSS) in osteosarcoma patients. The reliability and accuracy of the nomogram were evaluated using the concordance index (C-index), the area under the receiver operating characteristic curve (AUC), and calibration curves. RESULTS: A total of 2900 osteosarcoma patients were included. The analysis showed that age, primary tumor site, M stage, surgery, chemotherapy, and median household income were independent risk factors influencing CSM in patients. The competitive risk model was constructed to predict CSS in osteosarcoma patients. In the training and validation sets, the C-index of the model was 0.756 (95% CI 0.725-0.787) and 0.737 (95% CI 0.717-0.757), respectively, and the AUC was greater than 0.7 for both. The calibration curves also demonstrated a high consistency between the predicted survival rates and the actual survival rates, confirming the accuracy and reliability of the model. CONCLUSION: We established a competitive risk model to predict 1-year, 3-year, and 5-year CSS in osteosarcoma patients. The model demonstrated good predictive performance and can assist clinicians and patients in making clinical decisions and formulating follow-up strategies.

Epidemiology and nomogram of pediatric and young adulthood osteosarcoma patients with synchronous lung metastasis: A SEER analysis.

BACKGROUND: Patients with osteosarcoma and synchronous lung metastasis (SLM) have poor survival. This study aimed to explore the epidemiology data and construct a predictive nomogram to identify cases at risk of SLM occurrence among pediatric and young adulthood osteosarcoma patients. METHODS: All data were extracted from Surveillance, Epidemiology, and End Results 17 registries. The age-standardized incidence rate (ASIR) and annual percentage change was evaluated, and reported for the overall population and by age, gender, race, and primary site. Univariate and multivariate logistic regression analyses were used to identify risk factors associated with SLM occurrence, then significant factors were used to develop the nomogram. The area under the receiver operating characteristic curve (AUC) and calibration curve were used to evaluated the predictive power of the nomogram. Survival analysis was assessed by the Kaplan-Meier method and the log-rank test. Multivariate Cox analysis was used to determine the prognostic factors. RESULTS: A total of 278 out of 1965 patients (14.1%) presented with SLM at diagnosis. The ASIR increased significant from 0.46 to 0.66 per 1,000,000 person-years from year 2010 to 2019, with an annual percentage change of 3.5, mainly in patients with age 10-19 years, male and appendicular location. All patients were randomly assigned into train cohort and validation cohort with a spilt of 7:3. In the train cohort, higher tumor grade, bigger tumor size, positive lymph nodes and other site-specific metastases (SSM) were identified as significant risk factors associated with SLM occurrence. Then a nomogram was developed based on the four factors. The AUC and calibration curve in both train and validation cohorts demonstrated that the nomogram had moderate predictive power. The median cancer-specific survival was 25 months. Patients with age 20-39 years, male, positive lymph nodes, other SSM were adverse prognostic factors, while surgery was protective factor. CONCLUSIONS: This study performed a comprehensive analysis regarding pediatric and young adulthood osteosarcoma patients had SLM. A visual, clinically operable, and easy-to-interpret nomogram model was developed for predicting the risk of SLM, which could be used in clinic and help clinicians make better decisions.

Multidisciplinary management of adolescents and young adults (AYA) sarcoma: A successful effort of an adult high-volume cancer center.

INTRODUCTION: The aim of this retrospective study was to investigate the clinicopathological characteristics of AYA sarcomas and their clinical outcomes at a high-volume single center. METHODS: Demographic, clinicopathological data on the diagnosis, treatment and follow-up of all sarcoma patients aged 16-39 years (ys) observed at our Institute between January 2010 and December 2021 were retrospectively collected, including diagnostic (TTD) and treatment delay(TTT), clinical outcomes (OS and PFS), and late-treatment effects. RESULTS: We identified 228 AYA patients, median age 30 years, 29% ≤ 25 years, 57% males, 88% soft tissue sarcomas (STS), and 12% bone sarcomas (BS). Among STSs, 13% were small round cell tumors (SRCT), 52% intermediate-high-grade, 24% low-grade STSs. Among BS, 32% were high-grade. Median TTD and TTT were 120 (0-8255) and 7 days (0-83), respectively. Surgery was performed in 83%, radiotherapy in 29%, and systemic therapy in 27%. Median follow-up was 72.9 months(1.6-145), 5-year and 10-year OS were 78.5% and 62%, respectively. Kaplan-Meyer analysis showed a significantly better 5-year OS and PFS for patients with >92 days of TTD (OS 85.7% vs. 66.7%, p = 0.001, PFS 50.2% vs. 24.9%, p = 0.009). According to age (≤25 years vs. > 25 years), 5-year OS was 69.8% versus 82.2%, respectively (p = 0.047). CONCLUSION: Our analysis confirmed previous data on sarcoma AYA patients followed in a referral center. Unexpectedly, diagnostic delay was not associated with poor OS and PFS. Patients <25 years showed a poorer prognosis due to the higher incidence of SRCT.

Outcomes and survival rates of childhood osteosarcoma in Iran, A report from MAHAK Pediatric Cancer Treatment and Research Center, from 2007 to 2020.

Background: Osteosarcoma is one of the most common childhood bone malignancies. Although chemotherapy protocol including methotrexate is an effective treatment for osteosarcoma, some other regimens have excluded it because of its complications. Methods: This retrospective study was conducted on 93 children younger than 15 years old who were diagnosed with osteosarcomafrom March 2007 to January 2020. Two chemotherapy protocols were administrated for patients, namely, DCM protocol (Doxorubicin-Cisplatin-Methotrexate) and German protocol (excluding methotrexate). All statistical analysis was conducted using SPSS-25 software. Results: Among patients, 47.31% were male. Patients' age ranged from 3 to 15 with the mean of 10.41 ± 0.32 years. Femur was the most frequent primary tumor site (59.14%), followed by tibia (22.58%). Metastasis rate at diagnosis was 17.20% in our study. Furthermore, the 5-year overall survival (OS) of total patients was 37.3 ± 7.5%, whereas the 5-year OS of males and females was 33.6 ± 10.9% and 39.8 ± 10.6%, respectively. The 5-year OS of methotrexate regimen was 15.6 ± 9.6%, whereas that of methotrexate-free protocol was 50.2 ± 9.0%. Conclusions: Female patients had better survival rates than males. In addition, the chemotherapy protocol excluding methotrexate significantly increased the overall and event free survival of patients.

Development and validation of a nomogram for predicting prognosis of high-grade chondrosarcoma: A surveillance, epidemiology, and end results-based population analysis.

BACKGROUND: The incidence of chondrosarcoma is increasing every year, and the treatment and prognosis of patients with high-grade chondrosarcoma are becoming more and more important. Nomogram is a tool that can quickly and easily predict the overall survival of tumor patients. Therefore, the development and validation of a nomogram to predict overall survival in patients with high-grade chondrosarcoma was desired. METHODS: We retrospectively collected 396 patients with high-grade chondrosarcoma from the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015. Randomly divided into model and validation groups, the best cut-off values for age and tumor size grouping were derived by using X-tile software. Then, independent prognostic factors for high-grade chondrosarcoma were derived by SPSS.26 univariate and multivariate Cox analyses analysis in the model group, and the model was evaluated by using R software, using C-indix and ROC curves, and finally these independent prognostic factors were included in Nomogram. RESULTS: 396 patients were randomly assigned to the modelling group (n = 280) or the validation group (n = 116). Age, tissue-type, tumor size, AJCC stage, regional expansion and surgery were identified as independent prognostic factors (p < 0.05) which further combined to construct a nomogram. The C-index of internal validation for overall survival(OS) was 0.757, while the C-index of external validation for overall survival(OS) was 0.832. Both internal and external calibration curves show a good agreement between nomogram prediction and actual survival. CONCLUSION: In this study, we established age, tumour size, AJCC stage, tissue type, surgery and tumor extension as independent prognostic factors for high-grade chondrosarcoma and constructed a nomogram to predict 3- and 5-year survival rates for high-grade chondrosarcoma.

Prevalence and characteristics of benign cartilaginous tumours of the knee joint as identified on MRI scans.

BACKGROUND: Enchondromas (EC) and atypical cartilaginous tumours (ACT) of the knee joint represent benign/intermediate chondromatous neoplasms of the bone that are most commonly discovered incidentally. Based on small to intermediate-sized cohorts, the prevalence of cartilaginous tumours of the knee as visible in MRI is estimated at 0.2-2.9%. This study aimed at verifying/challenging these numbers via retrospective examination of a larger, uniform patient cohort. METHODS: Between 01.01.2007 and 01.03.2020, 44,762 patients had received an MRI of the knee for any indication at a radiologic centre. Of these, 697 patients presented with MRI reports positive for cartilaginous lesions. In a three-step workflow, 46 patients were excluded by a trained co-author, a radiologist and an orthopaedic oncologist, as wrongly being diagnosed for a cartilage tumour. RESULTS: Of 44,762 patients, 651 presented with at least one EC/ACT indicating a prevalence of 1.45% for benign/intermediate cartilaginous tumours of the knee joint (EC: 1.4%; ACTs: 0.05%). As 21 patients showed 2 chondromatous lesions, altogether 672 tumours (650 ECs [96.7%] and 22 ACTs [3.3%]) could be analysed in terms of tumour characteristics: With a mean size of 1.6 ± 1.1 cm, most lesions were located in the distal femur (72.9%), in the metaphysis of the respective bone (58.9%) and centrally in the medullary canal (57.4%). CONCLUSIONS: This study revealed an overall prevalence of 1.45% for cartilage lesions around the knee joint. Whilst a constant increase in prevalence was found for ECs over 13.2 years, prevalence remained constant for ACTs.

Incidence and progression of osteoarthritis following curettage and cementation of giant cell tumor of bone around the knee: long-term follow-up.

BACKGROUND: Giant cell tumor of bone (GCTB) is a benign locally aggressive tumor frequently treated with intralesional curettage and cementation. The aim of this study was to investigate the long-term incidence of arthritic changes following curettage and cementation of GCTB around the knee. MATERIALS AND METHODS: This study was a retrospective review of patients with GCTB around the knee treated with curettage and cementation with a minimum follow-up of 10 years. The functional results were assessed using the Musculoskeletal Tumor Society (MSTS) score. The arthritic changes were classified using the Kellgren-Lawrence (KL) classification system of osteoarthritis. RESULTS: This study included 119 patients, 54 males and 65 females, with a mean age of 29.4 ± 9.2 years. There were 35 (29.4%) patients with pathological fractures. There were 84 (70.6%) patients with de novo lesions and 35 (29.4%) with recurrent lesions. The mean follow-up period was 13.2 ± 3.16 years. The mean MSTS score was 28.5 ± 1.9. Overall, 25 (21%) patients developed variable degrees of arthritis of KL grade 1 (n = 7), KL grade 2 (n = 11), KL grade 3 (n = 4), and KL grade 4 (n = 3). Ten patients showed progression of arthritis during the follow-up period. Age at presentation, gender, presence of pathological fracture, whether the tumor was de novo or recurrent, and tumor location were not associated with arthritis incidence. CONCLUSIONS: Curettage and cementation can be used safely to treat GCTB around the knee. Arthritis of the knee is a possible complication, but mild grades are expected in most cases. There was no association between arthritis incidence and age, gender, pathological fractures, tumor location, or recurrent tumors. LEVEL OF EVIDENCE: Level IV.

Studies related to osteosarcoma and metabolism from 1990 to 2022: A visual analysis and bibliometric study.

Background: Osteosarcoma is the most common primary bone tumor, its high incidence of metastasis and poor prognosis have led to a great deal of concern for osteosarcoma. In many cancer types, metabolic processes are important for tumor growth progression, so interfering with the metabolic processes of osteosarcoma may be a therapeutic option to stall osteosarcoma progression. A key mechanism of how metabolic processes contribute to the growth and survival of various cancers, including osteosarcoma, is their ability to support tumor cell metabolism. Research related to this field is a direction of great importance and potential. However, to our knowledge, no bibliometric studies related to this field have been published, and we will fill this research gap. Methods: Publications were retrieved on January 1, 2023 from the 1990-2022 Science Citation Index of the Web of Science Core Collection. The Bibliometrix package in R software, VOSviewer and CiteSpace software were used to analyze our research directions and to visualize global trends and hotspots in osteosarcoma and metabolism related research. Results: Based on the search strategy, 833 articles were finally filtered. In this area of research related to osteosarcoma metabolism, we found that China, the United States and Japan are the top 3 countries in terms of number of articles published, and the journals and institutions that have published the most research in this area are Journal of bone and mineral research, Shanghai Jiao Tong University. In addition, Baldini, Nicola, Reddy, Gs and Avnet, Sofia are the top three authors in terms of number of articles published in studies related to this field. The most popular keywords related to the field in the last 30 years are "metabolism" and "expression", which will guide the possible future directions of the field. Conclusion: We used Bibliometrix, VOSviewer, and Citespace to visualize and bibliometrically analyze the current status and possible future hotspots of research in the field of osteosarcoma metabolism. Possible future hotspots in this field may focus on the related terms "metabolism", "expression", and "migraation".

Risk of Cardiovascular Death in Osteosarcoma.

OBJECTIVE: To assess the risk of cardiovascular mortality (CVM) in patients with osteosarcoma. STUDY DESIGN: Descriptive study. Place and Duration of the Study: Department of Orthopaedics, The People's Hospital of Baoan, Shenzhen, Guangdong, China, from 1st January 2019 to 1st January 2022. METHODOLOGY: Data on patients diagnosed with osteosarcoma, between 1975 and 2019, were obtained from the surveillance, epidemiology, and end results (SEER) database. Using the Nelson-Aalen cumulative risk curve to assess the risk of CVM in patients with osteosarcoma. Competing risk models were used for identifying and analysing independent risk factors for CVM in the patients. RESULTS: Data from a total of 1335 patients with osteosarcoma were obtained from the SEER database. The characteristics of patients with osteosarcoma independently related with a high risk of CVM were age over 65 years (HR: 2.528; 95% CI: 1.156 - 5.527), race of other categories (HR: 1.498; 95% CI: 1.044 - 2.151), and exposure radiotherapy (HR: 0.493; 95% CI: 0.244 - 0.998). Receiving chemotherapy was independently associated with a low risk of CVM (HR: 1.911; 95% CI: 1.016 - 3.593). CONCLUSION: Cardiovascular disease death from osteosarcoma was significantly associated with older age at diagnosis, race other class, receiving radiation therapy, and not undergoing chemotherapy. KEY WORDS: Osteosarcoma, Cancer risk factors, Epidemiology.

The national incidence of chondrosarcoma of bone; a review.

BACKGROUND: Chondrosarcoma (CS) epidemiology has been studied by a number of authors using national cancer registry cohorts. Many reports share the common findings of a slight increase in incidence, but not all. The patterns and causes for these changes are divergent while reflection concerning methodological challenges are often missing. METHOD: We have performed a structured literature review to find national analyses of CS incidence published from 2010 to 2020. We included eight studies of national incidence of CS, summarise their findings and patterns of change. We further discuss explanations given for these changes to better understand the real patterns and raise awareness in their interpretation. RESULTS: Reported crude incidence ranges from 0.27 per million per year overall in Saudi Arabia to 5.4 in the Netherlands. Four studies from the USA, England, Switzerland and France report age standardised rates of 2.0-4.1 per million per year overall. While some countries report stable patterns, most report a slight increase. The Netherlands is the only country reporting a large increase, driven by a 10-fold increase in the incidence of ACT/grade 1 CS during the study period. We challenge the explanations given for this and suggest that this most likely is a result of variable interpretation and definition of CS at the lower levels of disease aggressiveness. This should raise awareness to possible over-treatment of CS in the Netherlands. CONCLUSION: The most likely national incidence of CS of bone is between 2-4 per million per year. Three modern reports present an incidence of 3.4-4.1 per million per year.