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BACKGROUND: Metastatic bone disease is a frequent complication of advanced non-small-cell lung cancer and causes skeletal-related events which result in a poor prognosis. A standard method to assess the therapeutic response of bone metastases does not currently exist. We used dynamic contrast-enhanced MRI to obtain quantitative measures to assess the suitability of this technique to gauge therapeutic response to vinorelbine-cisplatin plus rh-endostatinfor previously untreated non-small cell lung cancer with bone metastases. METHODS: We did a phase 4, randomised, prospective, double-blind, placebo-controlled clinical trial in Shanghai Sixth People's Hospital, Shanghai, China. Inclusion criteria were non-small-cell lung cancer patients with bone metastases confirmed by pathology or cytology; available imaging data of pelvic metastatic lesions; aged 18 to 75 years old; expected survival at least 3 months; not receiving taxane, bevacizumab, thalidomide, rh-endostatin, or bisphosphonate; not having radiation therapy within 3 months of enrollment into study; normal results of routine blood tests, liver and kidney function, and electrocardiogram; absence of cardiovascular disease, autoimmune disease, vasculitis, severe infection, diabetes, and other concomitant disease; and signed informed consent. Exclusion criteria were receiving granulocyte colony stimulating factor or granulocyte-macrophage colony stimulating factor during chemotherapy, intolerance to adverse reaction, and allergy to contrast agents. Patients were randomly assigned to treatment group and control group at a ratio of 2:1 by random code generation by an independent biostatistician in a double-blind fashion. Participants received either vinorelbine-cisplatin plus rh-endostatin or vinorelbine-cisplatin plus placebo. Vinorelbine (25 mg/m2) and cisplatin (75 mg/m2) were administered intravenously on the first day of a 21 day cycle. Patients received rh-endostatin (7·5 mg/m2) or placebo on days 1-14 of a cycle. The primary end points were objective response rate (complete remission+partial remission)/total × 100) and disease control rate (complete remission+partial remission+stable disease)/total × 100). Measurements including Ktrans, Kep, and Ve were evaluated by dynamic contrast-enhanced MRI before treatment and after completion of 2 treatment cycles. Blood concentrations of bone metabolites, tumour markers, and tumour vascular growth related factors were measured before and after treatment. Comparisons were made using paired t-test. Kaplan-Meier survival analysis was used to indicate the correlation between some measurements and progression-free survival or overall survival. The difference in Ktrans between patients who had partial remission or stable disease group and those who had disease progression was tested using the Chi-square test. All statistical analyses were performed with SPSS version 21.0. This trial was approved by the State Food and Drug Administration (No: S20050088) and China State Food and Drug Administration. The trial is registered with China Clinical Trials Registry, number chictr-ctr-09000569. Written informed consent and ethical approval was obtained. FINDINGS: We enrolled 33 patients (aged 52-70, 15 men and 18 women) of whom 28 were evaluable (20 in treatment group and 8 in control group). Five patients were excluded: 2 patients in treatment group and 1 patient in control group used granulocyte-macrophage colony stimulating factor, and 2 patients in the control group refused treatment. Objective response rate was higher (30% vs 0%; p<0·00001), mean overall survival was longer (21·44 [SD 17·28] vs 7·71 [4·68] months, p=0·008), and reduction in capillary permeability (measured by Ktrans) was greater (60·0% vs 4·4%; p=0·026) in the group given rh-endostatin than in the control group. Disease control rate was 80% in the treatment group and 75% in the control group (p=0·07). Overall survival was longer in patients with a greater than 50% reduction in Ktrans than in patients with a decrease of up to 50% (13·2 [1·8] vs 9·8 [0·2] months, p=0·026). INTERPRETATION: Addition of rh-endostatin to treatment with vinorelbine-cisplatin increased the treatment response in patients with non-small cell lung cancer and bone metastases. Quantitative analysis using dynamic contrast-enhanced MRI can be used to evaluate therapeutic response and to predict survival of bone metastases after anti-angiogenesis therapy. Limitations of this study include the small number of patients and the single-centre design. FUNDING: National Natural Science Foundation of China [grant number 81201628].

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The aim of the bone metastases (BM) treatment is to prevent the occurrence of skeletal-related events (SREs). In clinical, physicians could only predict the occurrence of SREs by subjective experience. Machine learning (ML) could be used as predictive models in the medical field. But there is no published research using ML to predict SREs in cancer patients with BM. The purpose of this study was to assess the associations of clinical variables with the occurrence of SREs and to subsequently develop prediction models to help identify SREs risk groups.We analyzed 1143 cancer patients with BM. We used the statistical package of SPSS and SPSS Modeler for data analysis and the development of the prediction model. We compared the performance of logistic regression (LR), decision tree (DT) and support vector machine(SVM). The results suggested that Visual Analog Scale (VAS) scale was a key factor to SREs in LR, DT and SVM model. Modifiable factors such as Frankel classification, Mirels score, Ca, aminoterminal propeptide of type I collagen (PINP) and bone-specific alkaline phosphatase (BALP) were identified. We found that the result of applying LR, DT and SVM classification accuracy was 79.2%, 85.8% and 88.2%, with 9, 4 and 8 variables, respectively.In conclusion, DT and SVM achieved higher accuracies with smaller number of variables than the number of variables used in LR. ML techniques can be used to build model to predict SREs in cancer patients with BM.

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Metastatic bone disease is a frequent complication of advanced non-small cell lung cancer (NSCLC) and causes skeletal-related events, which result in a poor prognosis. Currently, no standard method has been developed to precisely assess the therapeutic response of bone metastases (BM) and the early efficacy of anti-angiogenic therapy, which does not conform to the concept of precision medicine. This study aimed to investigate the usefulness of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for precise evaluation of the response to chemotherapy with anti-angiogenic agents in NSCLC patients with BM. Patients were randomly assigned to a treatment group (vinorelbine + cisplatin [NP] + recombinant human endostatin [rh-endostatin]) or a control group (NP + placebo). All patients were evaluated before treatment and after 2 cycles of treatment using DCE-MRI quantitative analysis technology for BM lesions and chest computed tomography (CT). Correlations between changes in the DCE-MRI quantitative parameters and treatment effect were analyzed. We enrolled 33 patients, of whom 28 were evaluable (20 in the treatment group and 8 in the control group). The results suggested a higher objective response rate (30% vs. 0%), better overall survival (21.44 ± 17.28 months vs. 7.71 ± 4.68 months), and a greater decrease in the transport constant (Ktrans) value (60% vs. 4.4%) in the treatment group than in the control group (P < 0.05). The Ktrans values in the "partial remission plus stable disease (PR + SD)" group were significantly lower after treatment (P < 0.05). Patients with a decrease of > 50% in the Ktrans value showed a significantly better overall survival than those with a decrease of ≤ 50% (13.2 vs. 9.8 months, P < 0.05). Ktrans as a DEC-MRI quantitative parameter could be used for the precise evaluation of BM lesions after anti-angiogenic therapy and as a predictor of survival. In addition, we reconfirmed the anti-angiogenic effect of rh-endostatin in NSCLC patients with BM.

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BACKGROUND: Complications from skeletal-related events (SREs) constitute a challenge in the care of cancer patients with bone metastasis (BM). OBJECTIVES: This study evaluated the comparative effectiveness of pamidronate, ibandronate, zoledronate, and denosumab in reducing the morbidity of SREs in cancer patients with BM. METHODS: Medline (1948 to January 2014), Embase (1980 to January 2014), the Cochrane Library (2014 issue 1), and Web of Science with Conference Proceedings (1970 to January 2014) were searched. Only randomized controlled trials assessing denosumab, bisphosphonates, or placebo in cancer patients with BM were included. The primary outcomes were SREs and SREs by type. The network meta-analysis (NMA) was performed with a random-effects Bayesian model. RESULTS: The NMA included 14 trials with 10,192 patients. Denosumab was superior to placebo in reducing the risk of SREs (odds ratio [OR]: 0.49; 95% confidence interval [CI]: 0.31-0.75), followed by zoledronate (OR: 0.57; 95% CI: 0.41-0.77) and pamidronate (OR: 0.55; 95% CI: 0.41-0.72). Ibandronate compared with placebo could not reduce the risk of SREs. Denosumab was superior to placebo in reducing the risk of pathologic fractures (OR: 0.50; 95% CI: 0.32-0.79), followed by zoledronate (OR: 0.61; 95% CI: 0.43-0.86). Denosumab was superior to placebo in reducing the risk of radiation (OR: 0.51; 95% CI: 0.35-0.75), followed by pamidronate (OR: 0.67; 95% CI: 0.52-0.86) and zoledronate (OR: 0.70; 95% CI: 0.52-0.96). CONCLUSION: This NMA showed that denosumab, zoledronate, and pamidronate were generally effective in preventing SREs in cancer patients with BM. Denosumab and zoledronate were also associated with reductions in the risk of pathologic fractures and radiation compared with placebo. Denosumab was shown to be the most effective of the bone-targeted agents.

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Lung cancer (LCa) is one of the most common and deadly malignancies in elderly patients. During the course of the disease, these patients frequently present with lower respiratory tract infection. Therefore, this study aims to investigate the clinical features of lower respiratory tract infection in elderly LCa patients and evaluate the impact on overall survival rate. Clinical and laboratory data were analyzed retrospectively for a total of 1936 patients that were over 60-years-old. Patients were classified into three groups based on pulmonary diseases: Group 1, lung cancer (LCa); Group 2, chronic obstructive pulmonary disease (COPD); and Group 3, other medical diseases without pulmonary problems (OMD). Univariate and multivariate analysis were used to evaluate related risk factors of infections and prognostic factors. The infection rate of the LCa group (46.25%) was significantly higher than the COPD (31.40%) and OMD (23.33%) groups. Polymicrobial infections were most prevalent in the LCa group (28.75%), which far exceeded the prevalence in COPD (11.05%) and OMD (4.44%) groups. In LCa patients, the most frequent pathogens were Gram-negative bacteria (44.87%), followed by fungi (34.62%) and Gram-positive bacteria (20.51%), the major pattern of polymicrobial infections was mixed Gram-negative bacteria and fungi (43.48%). Multivariate analysis revealed that COPD, pleural effusion, anatomical type, low cellular immune function, and length of hospital stay were related risk factors of lower respiratory tract infection in elderly LCa patients. A multivariate Cox proportional hazards regression model revealed that age, stage of TNM, surgical resection, antitumor therapy, lower respiratory tract infection, COPD, and pleural effusion were independent prognostic factors for cancer-related death. Patients who received effective antimicrobial treatment had a better outcome than those who did not respond to antimicrobial drugs (HR = 0.458, P < 0.05). Understanding lower respiratory tract infection in elderly LCa patients is vital if we are to set up corresponding measures and to target effective antimicrobial treatment.