We assessed the survival after surgery in 153 patients with extremity metastases and 88 with spinal metastases. The survival rate for the whole series of 241 patients was 0.30 at 1 year, 0.15 at 2, and 0.08 at 3 years. The 1-year survival rate was the same for the extremity metastases group and the spinal group. Univariate analysis showed that 1-year survival was related to metastatic load, site of primary tumor, and presence of pathologic fracture. Multivariate regression analysis showed that pathologic fracture, visceral or brain metastases, and lung cancer were negative prognostic variables. Solitary skeletal metastases, breast and kidney cancer, myeloma, and lymphoma were positive variables. A prognostication model based on these variables stratified the patients into 3 groups with a 1-year survival ranging from 0.5 to 0.0. These prognostic variables can be used for differentiating the treatment of cancer patients with pathologic fracture or epidural compression.

We report positive and negative factors associated with the most commonly-used methods of reconstruction after pathological fracture of the proximal femur. The study was based on 142 patients treated surgically for 146 metastatic lesions between 1996 and 2003. The local rate of failure was 10.3% (15 of 146). Of 37 operations involving osteosynthetic devices, six failed (16.2%) compared with nine (8.3%) in 109 operations involving endoprostheses. Of nine cases of prosthetic failure, four were due to periprosthetic fractures and three to recurrent dislocation. In the osteosynthesis group, three (13.6%) of 22 reconstruction nails failed. The two-year risk of re-operation after any type of osteosynthesis was 0.35 compared with 0.18 after any type of endoprosthetic reconstruction (p = 0.07). Endoprosthetic reconstructions are preferable to the use of reconstruction nails and other osteosynthetic devices for the treatment of metastatic lesions in the proximal third of the femur.

BackgroundAccurate estimations of life expectancy are important in the management of patients with metastatic cancer affecting the extremities, and help set patient, family, and physician expectations. Clinically, the decision whether to operate on patients with skeletal metastases, as well as the choice of surgical procedure, are predicated on an individual patient's estimated survival. Currently, there are no reliable methods for estimating survival in this patient population. Bayesian classification, which includes Bayesian belief network (BBN) modeling, is a statistical method that explores conditional, probabilistic relationships between variables to estimate the likelihood of an outcome using observed data. Thus, BBN models are being used with increasing frequency in a variety of diagnoses to codify complex clinical data into prognostic models. The purpose of this study was to determine the feasibility of developing Bayesian classifiers to estimate survival in patients undergoing surgery for metastases of the axial and appendicular skeleton.MethodsWe searched an institution-owned patient management database for all patients who underwent surgery for skeletal metastases between 1999 and 2003. We then developed and trained a machine-learned BBN model to estimate survival in months using candidate features based on historical data. Ten-fold cross-validation and receiver operating characteristic (ROC) curve analysis were performed to evaluate the BNN model's accuracy and robustness.ResultsA total of 189 consecutive patients were included. First-degree predictors of survival differed between the 3-month and 12-month models. Following cross validation, the area under the ROC curve was 0.85 (95% CI: 0.80–0.93) for 3-month probability of survival and 0.83 (95% CI: 0.77–0.90) for 12-month probability of survival.ConclusionsA robust, accurate, probabilistic naïve BBN model was successfully developed using observed clinical data to estimate individualized survival in patients with operable skeletal metastases. This method warrants further development and must be externally validated in other patient populations.

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Patients and methods 460 patients with an average age of 64 years underwent 501 operations for non-spinal skeletal metastases. 7 % were operated for more than one metastasis. Carcinoma of the breast, prostate, kidney and lung were the dominating primary tumors.Results The survival rate was 0.4 at 1 year, 0.3 at 2 years and 0.2 at 3 years. Univariate analysis showed that survival was related to bone localization, skeletal metastatic load, presence of visceral metastases, Karnofsky performance score, primary tumor type, presence of a complete pathological fracture and preoperative hemoglobin content. Multivariate regression analysis showed that pathological fracture, visceral metastases, haemoglobin content < 7 mmol/L and lung cancer were negative prognostic factors for survival. Myeloma was the sole positive prognostic factor for survival.

Activation of the GLI oncogene is an important step in the sonic hedgehog signaling pathway, and leads to, eg, tissue-specific cell proliferation during embryogenesis. GLI activity in adult tissues is restricted, but has been identified in various neoplasms, as a result of mutations in the PTCH (patched) or SMOH (smoothened) genes, encoding components of the sonic hedgehog pathway, or by amplification of GLI. Herein, we present a new mechanism of GLI activation through fusion with the beta-actin gene (ACTB) in five histologically distinctive soft tissue tumors showing a t(7;12)(p21-22;q13-15) and a pericytic phenotype. Each was composed of a perivascular proliferation of monomorphic short spindle cells that stained positively for smooth muscle actin and laminin and that showed pericytic features by electron microscopy. To date, with a median follow-up of 24 months, none has behaved in an aggressive manner. Molecular genetic analysis showed that the translocation in all cases resulted in a fusion transcript including the 5'-part of ACTB and the 3'-part of GLI. The DNA-binding zinc finger domains of GLI were retained in the fusion transcripts and it is likely that the replacement of the promoter region of GLI with that of the ubiquitously expressed ACTB gene leads to deregulation of GLI expression and its downstream target genes.

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This data summary is important tool for clinicians to evaluate survival and choose treatment options for patients suffering from metastatic bone disease.