Prognostic Factors Of Bone Metastasis Research Articles

Bone metastases in oral squamous cell carcinoma: A real-world retrospective study based on the SEER database

BackgroundBone metastases are rare in oral squamous cell carcinoma (OSCC). It has not been defined on the risk and prognosis of OSCC patients with bone metastases. The purpose of this study was to assess the factors associated with the development and prognosis of bone metastases among OSCC patients. MethodsDemographic and clinicopathological characteristics of OSCC patients diagnosed between 2010 and 2019 was retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. To explore risk factors for developing bone metastases and prognosis, the univariate and multivariate logistic and Cox regression analysis were performed, further the predictive nomogram models were constructed. ResultsThe incidence rate of bone metastases in newly diagnosed OSCC patients was 0.91 % (95 %CI 0.81% –1.02 %). Ultimately, 137 OSCC patients with bone metastases and 19,469 OSCC patients without bone metastases were included in the present study. Pathological grade, primary site, T/N stage and distant organ metastases (liver/lung/brain) were independently associated with the risk of developing bone metastases among OSCC patients. The C-index of a constructed risk-predicting nomogram was 0.86 (95 %CI 0.83–0.89). Multivariate Cox regression analysis indicated that lung metastases, the use of surgery as well as chemotherapy were three independent prognostic factors. The C-indexes of constructed risk-predicting nomograms were 0.70 (95 %CI 0.65–0.75), 0.68 (95 %CI 0.63–0.73) for OS and CSS, respectively. Calibration plots demonstrated an agreementbetween the established nomogram's predicted survival and actual survival. In addition, decision curve analysis (DCA) indicated these established nomograms had considerable net benefits and clinical utilities. ConclusionThis study defined the risk and prognostic factors for bone metastases among OSCC patients and the established nomograms were well calibrated for discrimination to predict bone metastasis development and prognosis.

Subcutaneous fat predicts bone metastasis in breast cancer: A novel multimodality-based deep learning model.

This study explores a deep learning (DL) approach to predicting bone metastases in breast cancer (BC) patients using clinical information, such as the fat index, and features like Computed Tomography (CT) images. CT imaging data and clinical information were collected from 431 BC patients who underwent radical surgical resection at Harbin Medical University Cancer Hospital. The area of muscle and adipose tissue was obtained from CT images at the level of the eleventh thoracic vertebra. The corresponding histograms of oriented gradients (HOG) and local binary pattern (LBP) features were extracted from the CT images, and the network features were derived from the LBP and HOG features as well as the CT images through deep learning (DL). The combination of network features with clinical information was utilized to predict bone metastases in BC patients using the Gradient Boosting Decision Tree (GBDT) algorithm. Regularized Cox regression models were employed to identify independent prognostic factors for bone metastasis. The combination of clinical information and network features extracted from LBP features, HOG features, and CT images using a convolutional neural network (CNN) yielded the best performance, achieving an AUC of 0.922 (95% confidence interval [CI]: 0.843-0.964, P< 0.01). Regularized Cox regression results indicated that the subcutaneous fat index was an independent prognostic factor for bone metastasis in breast cancer (BC). Subcutaneous fat index could predict bone metastasis in BC patients. Deep learning multimodal algorithm demonstrates superior performance in assessing bone metastases in BC patients.

Predictive models for the risk and prognosis of bone metastasis in patients with newly-diagnosed esophageal cancer: A retrospective cohort study.

Esophageal cancer (EC) is a common malignant tumor worldwide, and patients with both EC and bone metastasis (BM) have a poor prognosis. We aimed to determine the risk and prognostic factors for BM in patients with newly diagnosed EC and to conduct two nomograms to predict the probability of BM and overall survival after BM. Data from patients with EC from 2010 to 2015 were reviewed in the Surveillance, Epidemiology, and End Results (SEER) database. We divided participants into training and validation cohorts using univariate and multivariate logistic regression analyses and Cox regression models to explore the risk and prognostic factors of BM, respectively. Moreover, two nomograms were developed for predicting the risk and prognosis of BM in patients with EC. Then we used receiver operating characteristic curves, decision curve analysis, and calibration curves to evaluate the nomogram models. The overall survival of patients with EC and BM was analyzed using the Kaplan-Meier method. A total of 10,730 patients with EC were involved, 735 of whom had BM at the time of diagnosis. Histologic type, sex, age, N stage, primary site, liver, lung, and brain metastases, and tumor differentiation grade were identified as independent BM risk factors. Histological type, chemotherapy, brain, liver, and lung metastases were identified as prognostic risk factors for patients with EC and BM. We developed diagnostic and prognostic nomograms according to the results. Receiver operating characteristic curves, calibration, and Kaplan-Meier curves, and decision curve analysis all indicated that both nomograms had great clinical predictive ability and good clinical application potential. Two novel nomograms were constructed to predict the risk and prognosis of BM in patients with EC. These prediction models can effectively assist clinicians in clinical decision-making based on their good accuracy and reliability.

Establishment of the diagnostic and prognostic nomograms for pancreatic cancer with bone metastasis

Bone metastasis (BM) is rare in patients with pancreatic cancer (PC), but often neglected at the initial diagnosis and treatment. Bone metastasis is associated with a worse prognosis. This study was aimed to perform a large data analysis to determine the predictors and prognostic factors of BM in PC patients and to develop two nomograms to quantify the risks of BM and the prognosis of PC patients with BM. In the present study, we reviewed and collected the data of patients who were diagnosed as PC from 2010 to 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression analyses were used together to screen and validate the risk factors for BM in PC patients. The independent prognostic factors for PC patients with BM were identified by Cox regression analysis. Finally, two nomograms were established via calibration curves, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA). This study included 16,474 PC patients from the SEER database, and 226 of them were diagnosed with BM. The risk factors of BM for PC patients covered age, grade, T stage, N stage, tumor size, and primary site. The independent prognostic factors for PC patients with BM included age, race, grade, surgery, and lung metastasis. The AUC of the diagnostic nomogram was 0.728 in the training set and 0.690 in the testing set. In the prognostic nomogram, the AUC values of 6/12/18 month were 0.781/0.833/0.849 in the training set and 0.738/0.781/0.772 in the testing set. The calibration curve and DCA furtherly indicated the satisfactory clinical consistency of the nomograms. These nomograms could be accurate and personalized tools to predict the incidence of BM in PC patients and the prognosis of PC patients with BM. The nomograms can help clinicians make more personalized and effective treatment choices.

Nomogram Predicts Risk and Prognostic Factors for Bone Metastasis of Pancreatic Cancer: A Population-Based Analysis.

BackgroundThe overall survival (OS) of pancreatic cancer (PC) patients with bone metastasis (BM) is extremely low, and it is pretty hard to treat bone metastasis. However, there are currently no effective nomograms to predict the diagnosis and prognosis of pancreatic cancer with bone metastasis (PCBM). Therefore, it is of great significance to establish effective predictive models to guide clinical practice.MethodsWe screened patients from Surveillance Epidemiology and End Results (SEER) database between 2010 and 2016. The independent risk factors of PCBM were identified from univariable and multivariable logistic regression analyses, and univariate and multivariate Cox proportional hazards regression analyses were used to determine independent prognostic factors affecting the prognosis of PCBM. In addition, two nomograms were constructed to predict the risk and prognosis of PCBM. We used the area under the curve (AUC), C-index and calibration curve to determine the predictive accuracy and discriminability of nomograms. The decision curve analysis (DCA) and Kaplan-Meier(K-M) survival curves were employed to further confirm the clinical effectiveness of the nomogram.ResultsMultivariable logistic regression analyses revealed that risk factors of PCBM included age, primary site, histological subtype, N stage, radiotherapy, surgery, brain metastasis, lung metastasis, and liver metastasis. Using Cox regression analyses, we found that independent prognostic factors of PCBM were age, race, grade, histological subtype, surgery, chemotherapy, and lung metastasis. We utilized nomograms to visually express data analysis results. The C-index of training cohort was 0.795 (95%CI: 0.758-0.832), whereas that of internal validation cohort was 0.800 (95%CI: 0.739-0.862), and the external validation cohort was 0.787 (95%CI: 0.746-0.828). Based on AUC of receiver operating characteristic (ROC) analysis, calibration plots, and decision curve analysis (DCA), we concluded that the risk and prognosis model of PCBM exhibits excellent performance.ConclusionNomogram is sufficiently accurate to predict the risk and prognostic factors of PCBM, allowing for individualized clinical decisions for future clinical work.

Bone metastasis in esophageal adenocarcinoma and squamous cell carcinoma: a SEER-based study.

Esophageal cancer is a common worldwide disease with a higher mortality rate. Studies on esophageal cancer patients with bone metastasis are rare. Our study focused on the clinicopathological features of patients with bone metastasis using the Surveillance, Epidemiology and End Results (SEER) database to further explore the risk factors and survival for bone metastasis. Esophageal cancer patients with bone metastasis were extracted from the SEER database. Univariable analysis and multivariable logistic regression were used to study the risk factors for bone metastasis. Univariable analysis and multivariable Cox regression were performed to reveal the survival and prognostic factors for bone metastasis. The competitive risk model was made to compare the association with bone metastasis among different causes of death. Propensity score matching was used to reduce the bias. Male, middle esophagus, with brain metastasis, without lung metastasis and without liver metastasis were major independent risk factors of bone metastasis. Older age, poorly differentiated and undifferentiated, with brain metastasis and with liver metastasis were major independent prognostic factors of bone metastasis. Patients with bone metastasis had a worse prognosis before and after propensity score matching than patients with other metastasis. Esophageal cancer patients with male sex, middle esophagus and brain metastasis were more likely to have bone metastasis. Compared to patients with other metastatic sites such as liver, brain and lung, patients with bone metastasis had a worse prognosis. Our findings provide recommendations about clinical guidelines for esophageal cancer patients with bone metastasis.

Prognostic factors for bone metastases from head and neck squamous cell carcinoma: A case series of 97 patients.

Although bone is the second-most frequent site of distant metastases of head and neck squamous cell carcinoma (HNSCC), variable prognostic factors in patients with bone metastases from HNSCC have not been fully investigated. The aim of the present study was to assess the prognostic factors affecting overall survival (OS) in these patients. The medical records of 97 patients at two institutions who developed bone metastases from HNSCC between January 2010 and December 2020 were retrospectively reviewed. A multivariate analysis using a Cox proportional hazards model was performed to identify potential clinical predictive factors for longer OS. The median OS was 7 months, and the 1- and 2-year OS rates for all patients were 35.4 and 19.2%, respectively. The independent predictive factors for longer OS were single bone metastasis, good performance status and administration of systemic chemotherapy. The median OS with each predictor was 10, 10 and 10.5 months, respectively. In a selected group of patients with these three factors, the OS was 14.5 months. In conclusion, single bone metastasis, a good performance status and systemic chemotherapy were independent predictors of longer OS in patients with HNSCC, but their contributions were limited.

Risk factors, prognostic factors, and nomograms for bone metastasis in patients with newly diagnosed infiltrating duct carcinoma of the breast: a population-based study

BackgroundBreast cancer is the most common malignancy in women, and it is also the leading cause of death in female patients; the most common pathological type of BC is infiltrating duct carcinoma (IDC). Some nomograms have been developed to predict bone metastasis (BM) in patients with breast cancer. However, there are no studies on diagnostic and prognostic nomograms for BM in newly diagnosed IDC patients.MethodsIDC patients with newly diagnosed BM from 2010 to 2016 in the Surveillance, Epidemiology and End Results (SEER) database were reviewed. Multivariate logistic regression analysis was used to identify risk factors for BM in patients with IDC. Univariate and multivariate Cox proportional hazards regression analysis were used to explore the prognostic factors of BM in patients with IDC. We then constructed nomograms to predict the risk and prognosis of BM for patients with IDC. The results were validated using bootstrap resampling and retrospective research on 113 IDC patients with BM from 2015 to 2018 at the Affiliated Hospital of Chengde Medical University.ResultsThis study included 141,959 patients diagnosed with IDC in the SEER database, of whom 2383 cases were IDC patients with BM. The risk factors for BM in patients with IDC included sex, primary site, grade, T stage, N stage, liver metastasis, race, brain metastasis, breast cancer subtype, lung metastasis, insurance status, and marital status. The independent prognostic factors were brain metastases, race, grade, surgery, chemotherapy, age, liver metastases, breast cancer subtype, insurance status, and marital status. Through calibration, receiver operating characteristic curve and decision curve analyses, we found that the nomogram for predicting the prognosis of IDC patients with BM displayed great performance both internally and externally.ConclusionThese nomograms are expected to be a precise and personalized tool for predicting the risk and prognosis for BM in patients with IDC. This will help clinicians develop more rational and effective treatment strategies.

Clinical features and prognostic factors in patients with bone metastases from non-small cell lung cancer.

ObjectiveTo investigate the clinical features and evaluate the prognostic factors in patients with bone metastases from non-small cell lung cancer (NSCLC).MethodsWe retrospectively investigated 356 patients with NSCLC with bone metastases from January 2012 to December 2017. The overall survival (OS) and 1-year survival rate were calculated by Kaplan–Meier analysis and compared by univariate analysis using the log-rank test. Multivariate analysis was performed using the Cox proportional hazards model.ResultsA total of 694 sites of bone metastases were determined among the 356 patients. The most common site of bone metastases was the ribs. The median OS was 12.5 months and the 1-year survival was 50.8% in the overall population. Univariate analysis revealed that histological type, number of bone metastases, Eastern Cooperative Oncology Group performance status (ECOG PS), bisphosphonate therapy, and serum calcium, lactate dehydrogenase, and alkaline phosphatase were significantly correlated with prognosis. Multivariate analysis identified multiple bone metastases, ECOG PS ≥2, lactate dehydrogenase ≥225 U/L, and alkaline phosphatase ≥140 U/L as independent negative prognostic factors.ConclusionMultiple bone metastases, high ECOG PS, and high serum alkaline phosphatase and lactate dehydrogenase are independent negative prognostic factors for bone metastases from NSCLC.

Analysis of Homogeneous and Heterogeneous Factors for Bone Metastasis in Esophageal Cancer.

BackgroundEsophageal cancer is a common cancer worldwide. We performed the present study to assess the homogeneous and heterogeneous risk and prognostic factors of bone metastasis (BM) in esophageal cancer patients using data extracted from the Surveillance, Epidemiology, and End Results (SEER) database.Material/MethodsData from patients with esophageal cancer in the SEER database from 2010 to 2016 were extracted to reveal the risk factors for BM through univariable and multivariable logistic regression. Cox hazard regression analysis was used to evaluate the prognostic factors in esophageal cancer patients with BM from 2010 to 2015.ResultsA total of 2075 (8.0%) patients with initial bone metastasis were diagnosed from among 25 955 patients with esophageal cancer from 2010 to 2016. Male sex, T4 stage, brain metastasis, and liver metastasis were common risk factors for the occurrence and prognosis of BM. Patients with age younger than 67 years, grade III, higher N stage (N1, N2, and N3), histological subtype of esophageal adenocarcinoma or others, and lung metastasis were also more likely to experience bone metastasis, while unmarried patients were associated with shorter survival.ConclusionsThe prevalence of initial bone metastasis was approximately 8.0% in esophageal cancer patients. More attention should be paid to patients with revealed risk and prognostic factors because these factors can guide individualize bone metastasis screening and treatment of esophageal cancer patients.

Bone Metastasis Prognostic Factors in Breast Cancer.

Objective:Bone is the most common site of metastasis in breast cancer. Prognostic factors for predicting bone metastases in breast cancer are controversial yet. In this study, we investigated clinical factors associated with secondary bone metastasis of breast cancer.Methods:In total, 1690 patients with breast cancer recorded between 2002 and 2012 in Motamed Cancer Institute, Tehran, Iran entered in the retrospective study. We studied age, menopausal status, histologic type, tumor size, number of cancerous axillary lymph nodes, serum concentrations of alkaline phosphatase (ALP), carcinogenicity antigen (CEA), cancer antigen (CA)-153, and hemoglobin (HB) in 2 groups with bone metastases (n = 123) and without it, respectively. We applied logistic regression to identify bone metastasis prognostic factors in breast cancer patients and calculated the cut-off value, sensitivity, and characteristics of independent prognostic factors using receiver operating characteristic (ROC) curve analysis.Results:Menopause, larger tumor size, and the greater number of cancerous axillary lymph nodes increased the chance of bone metastases significantly (P < .05). There was no significant difference between mean groups with and without bone metastases regarding serum concentration of CEA, CA-153, HB, and histopathologic type (P > .05). Logistic regression showed that age (odds ratio (OR) = 1.021), menopausal status (OR = 1.854), number of cancerous axillary lymph nodes (OR = 1.065), a tumor size between 2 and 5 cm diameter (OR = 2.002) and more than 5 cm diameter (OR = 4.009), and ALP (OR = 1.005) are independent prognostic factors associated with bone metastases. The ROC curve showed that the abovementioned factors have comparable predictive accuracy for bone metastases.Conclusions:Age, menopausal status, number of axillary lymph node metastases, tumor size, and ALP were identified as prognostic factors for bone metastasis in patients with breast cancer. So patients with these characteristics should be monitored more precisely with regular follow-ups.

The Homogeneous and Heterogeneous Risk Factors for the Morbidity and Prognosis of Bone Metastasis in Patients With Prostate Cancer

Background: Globally, prostate cancer is the second most common malignancy in males and fifth leading cancer-related cause of death. To build a reliable predictive system for screening performance, the study looking into the risk factors of BM in prostate cancer patients is warranted. Aim: Using the Surveillance, Epidemiology, and End Results database (SEER) to assess the incidence, and risk factors of morbidity and prognosis for bone metastases in initial metastatic prostate cancer. Methods: A total of 249,331 prostate cancer patients who were diagnosed between 2010 and 2014 in SEER database were obtained to investigate the risk factors for developing bone metastasis, and 9925 of them who registered before 2013 were retrieved (with at least 1 year follow-up) to explore the prognostic factors for bone metastasis. Multivariate logistic and Cox regression were used to identify risk factors and prognostic factors for bone metastases, respectively. Results: Totally, 12,794 patients (5.1%) were diagnosed with bone metastases at the initial diagnosis. Older age, unmarried status, higher tumor stage, lymph node metastasis, metastases at lung brain and liver were the homogeneous risk factors for the morbidity and prognosis of bone metastasis in prostate cancer. Race and histologic differentiation grade were the heterogeneities associated factors. Black race was positively associated with bone metastasis morbidity; however, it has no significant effect on the prognosis. Poor differentiated grade may be the risk factors for developing bone metastasis; however, grade II was negatively associated with prognosis of bone metastasis. Conclusion: The survival of prostate cancer was poor with the bone metastasis approximate 5%. The prostate cancer has homogeneous and heterogeneities risk factors for incidence and prognosis of bone metastasis, which may provide potential guideline for the screening and preventive treatment of the bone metastasis of prostate cancer.

Incidence of bone metastasis and factors contributing to its development and prognosis in newly diagnosed renal cell carcinoma: a population-based study.

PurposeThe purpose of this study was to assess the incidence of and the risk factors and prognostic factors for bone metastasis (BM) in initial metastatic renal cell carcinoma (RCC) based on a large population analysis.Patients and methodsData were obtained for a total of 45,824 RCC patients recorded in the database of the Surveillance, Epidemiology, and End Results program of the National Cancer Institute between 2010 and 2014. Multivariate logistic and Cox regression analyses were used to identify the risk factors and prognostic factors associated with BM in RCC patients. Kaplan–Meier analysis was used to estimate the overall survival of RCC patients, and the difference between the survival curves was tested by log-rank tests.ResultsA total of 1,509 (3.29%) patients were diagnosed with bone metastases at initial diagnosis. Male gender, higher T stage, lymph node involvement, poor tumor grade, presence of lung, liver, and brain metastases, and the collecting duct type of RCC were positively associated with BM occurrence. The median survival time for RCC patients with bone metastases was 12.0 (95% confidence interval [CI]: 10.69–13.31) months, and the survival time for those with collecting duct, clear-cell, papillary, and chromophobe subtypes of RCC were 3 (95% CI: 0.23–5.77), 13 (95% CI: 11.60–14.40), 8 (95% CI: 5.09–10.91), and 11 (95% CI: 5.02–16.98) months; these differences were significantly different (P<0.01). Older age, higher T stage, lymph node involvement, poor tumor grade, the presence of lung, liver, and brain metastases, collecting duct RCC, and the absence of surgical treatments were the factors associated with worse prognoses.ConclusionBM was highly prevalent and significantly decreased the survival rate of RCC patients. A number of factors associated with the development and prognosis of BM were identified, and these insights provide preventive guidelines for screening and treatment of BM in RCC patients

The homogeneous and heterogeneous risk factors for the morbidity and prognosis of bone metastasis in patients with prostate cancer.

PurposeUsing the Surveillance, Epidemiology, and End Results database (SEER) to assess the incidence and risk factors of morbidity and prognosis for bone metastases in initial metastatic prostate cancer.Patients and methodsThe records of 249,331 prostate cancer patients in the SEER database, diagnosed between 2010 and 2014, were obtained were obtained to investigate the risk factors for developing bone metastasis, and the records of 9925 of them who registered before 2013 were retrieved (with at least 1 year follow up) to explore the prognostic factors for bone metastasis. Multivariate logistic and Cox regression were used to identify risk factors and prognostic factors for bone metastases, respectively.ResultsIn total, 12,794 patients (5.1%) were diagnosed with bone metastases at the initial diagnosis. Older age, unmarried status, lymph node metastasis, poor tumor differentiation grade (Gleason grade), metastases at lung, brain, and liver were all positively associated with risk for the morbidity and prognosis of bone metastasis in prostate cancer. Black race and higher T stage were positively associated with bone metastasis development; however, they were not associated with a prognosis of bone metastasis.ConclusionThe incidence of bone metastasis in prostate cancer was approximately 5% with poor survival. The prostate cancer has homogeneous and heterogeneous risk factors for incidence and prognosis of bone metastasis, which may provide potential guidelines for the screening and preventive treatment for the bone metastasis of prostate cancer.

Characteristics and Prognostic Factors of Bone Metastasis in Patients With Colorectal Cancer.

Because bone metastasis from colorectal cancer is rare, there are little available data regarding such cases. The study aim was to identify the prognostic factors and characteristics associated with survival in colorectal cancer patients with bone metastasis. This was a retrospective study from a prospectively collected database. The study took place in a multidisciplinary, high-volume tertiary cancer center in Japan. Examined were records from 104 consecutive patients treated between 2004 and 2015 for bone metastasis from colorectal cancer. The primary outcome measure was overall survival. The spine was the most common site of bone metastasis from colorectal cancer. Right colon cancer correlated significantly with long bone metastasis (p = 0.046), whereas left colon cancer correlated significantly with spinal bone metastasis (p = 0.034). Liver metastasis was also significantly correlated with spinal bone metastasis (p = 0.036). The median interval between the primary therapy for colorectal cancer and the metachronous diagnosis of bone metastasis was 20.0 months (quartile 1 to quartile 3, 9.0-46.5 mo). The median survival time from diagnosis of bone metastasis from colorectal cancer was 5.0 months (95% CI, 4.0-9.0 mo), and the 1-year survival rate was 30.0% (95% CI, 21.1%-39.4%). Multivariate analysis revealed that ≥2 extra-bone metastatic organs, hypercalcemia, and pathologic fractures were independent poor prognostic factors (p < 0.001, 0.001, and 0.033). The number of extra-bone metastatic organs correlated with prognosis. This study was limited by its retrospective, nonrandomized design, as well as selection bias and performance at a single institute. The location of colorectal cancer correlates significantly with the site of bone metastasis; the prognosis of patients with bone metastasis from colorectal cancer is very poor, and the significant prognostic factors are number of extra-bone metastatic organs, hypercalcemia, and pathologic fractures. See Video Abstract at http://links.lww.com/DCR/A589.

Bone Metastases Pattern in Newly Diagnosed Metastatic Bladder Cancer: A Population-Based Study.

Purpose: Based on a large-population analysis, we aimed to estimate the incidence and survival of bone metastases (BM) in initial bladder cancer (BC) patients and to identify the risk and prognostic factors of BC patients with BM.Patients and methods: Using the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database, bladder cancer patients diagnosed between 2010 and 2014 were retrieved. Multivariate logistic and Cox regression analyses were employed to identify risk factors and prognostic factors for BM in BC patients. A Kaplan-Meier analysis with log-rank test was used to estimate the overall survival for BC and the difference between the survival curves.Results: A total of 1,223 (1.39%) BC patients were diagnosed with de novo BM. Variables such as age between 41 to 60 years, black race, unmarried status, higher T stage, higher N stage, poor tumour differentiation grade, lung metastases, liver metastases, and brain metastases were positively associated with BM occurrence. The median survival for BC patients with BM was dramatically decreased to 4.0 months. Factors including advanced age, absence of surgery, and presence of lung, liver, or brain metastases all predicted worse survival.Conclusion: BM can dramatically decrease the survival of bladder cancer patients. The findings of the present study can provide population-based identification of risk and prognostic factors for BC patients with BM at initial diagnosis, which can be used for BM occurrence prediction and individualized treatment plan-making.

606P - Clinical manifestations and prognostic factors of bone metastasis in colorectal cancer

606P - Clinical manifestations and prognostic factors of bone metastasis in colorectal cancer

Clinical Characteristics and Prognostic Factors in Bone Metastases from Lung Cancer.

BackgroundThis study investigated the prognostic factors of bone metastases from lung cancer.Material/MethodsFrom March 2014 to March 2015, 168 patients with bone metastases from lung cancer treated at our hospital were included and the clinical data were reviewed. The Kaplan-Meier survival curves were calculated and analyzed using the log-rank univariate test. Multivariate regression analysis was conducted using Cox’s regression model.ResultsThe overall median survival of the 168 patients was 13 months. The 1-year survival was 54.3% and the 2-year survival was 12.9%. Univariate regression analysis indicated that the pathologic types, number of bone metastases, clinical stage, ECOG scores, and serum ALP levels were significantly correlated with survival (P<0.05). Multivariate regression analysis indicated that the number of bone metastases, clinical stage, and serum ALP levels were significantly correlated with prognosis (P<0.05). The risk associated with multiple bone metastases was 1.72 times of that of single bone metastasis (P=0.029); the risk associated with advanced clinical stage was 1.49 times of that of early clinical stage (P=0.001); and the risk associated with a high serum ALP level was 1.75 times of that of the low serum ALP level (P=0.006).ConclusionsPathologic types, number of bone metastases, clinical stage, ECOG scores, and serum ALP levels were the prognostic factors for bone metastases from lung cancer.

Clinicopathological features and survival of bone metastasis from primary hepatic carcinoma

To explore clinicopathological features and prognostic factors of bone metastasis from primary hepatic carcinoma (PHC). Eighty patients were enrolled with bone metastasis from PHC in Tianjin Medical University Cancer Institute and Hospital from January 2005 to June 2014 respectively. The clinicopathological features and prognostic factors of primary tumor were collected and bone metastases. Kaplan-Meier method was adopted for survival analysis. Log-rank method and Cox regression were used for univariate and multivariate analysis. The median survival was 4.7 (95% CI range from 3.4 to 6.0) months. The 6-, 12-, and 24-month survival was 42.5%, 17.5%, 2.5%, respectively. Univariate analysis indicated that Child-Pugh grading (P<0.01), ECOG score (P=0.014), serum cholinesterase (P=0.002), total bilirubin (P=0.006), ascites (P=0.003), TACE (P<0.01) were significant prognostic factors of survival. Multivariate analysis revealed that Child-Pugh classification (P<0.01), TACE (P<0.01) were independent prognostic factors of survival. Bone metastasis from PHC patients had poor survival. Patients can benefit from TACE and liver protecting treatment.

Clinicopathological characteristics and prognostic analysis of bone metastasis in gastric cancer patients

To investigate the clinicopathological characteristics and prognostic factors of bone metastasis in gastric cancer patients. Clinicopathological data of 66 gastric cancer patients with bone metastasis, who were treated at the Tianjin Medical University Cancer Institute and Hospital from October 1997 to September 2011, were analyzed retrospectively. The clinicopathological characteristics of the primary cancer and bone metastasis were summarized and the prognosis was analyzed. Of 66 patients, 4 underwent operation, 28 chemotherapy, 32 inhibitors of bone resorption,8 local treatment and 23 symptomatic treatment alone. The median survival time of these 66 patients was 5 months (95%CI:3.3-6.7 months). The 1-, 2- and 3-year survival rates were 9.1%, 3.0% and 1.5%, respectively. Univariate Log-rank test indicated that gender, bone metastasis combined with other distant metastasis and chemotherapy were significant prognostic factors (all P<0.05). Multivariate analysis revealed bone metastasis combined with other distant metastasis was an independent prognostic factor (P=0.011, RR=2.067, 95%CI:1.178-3.626). Prognosis of patients with bone metastasis from gastric cancer is poor. Chemotherapy-based comprehensive treatment may improve the prognosis of these patients.