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- Skubitz, Keith M., et al.
(author)
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Gene expression identifies heterogeneity of metastatic propensity in high-grade soft tissue sarcomas
- 2012
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In: Cancer. - : Wiley. - 1097-0142 .- 0008-543X. ; 118:17, s. 4235-4243
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Journal article (peer-reviewed)abstract
- BACKGROUND: Metastatic propensity of soft tissue sarcoma (STS) is heterogeneous and may be determined by gene expression patterns that do not correlate well with morphology. The authors have reported gene expression patterns that distinguish 2 broad classes of clear cell renal carcinoma (ccRCC-gene set), and other patterns that can distinguish heterogeneity of serous ovarian carcinoma (OVCA-gene set) and aggressive fibromatosis (AF-gene set); however, clinical follow-up data were not available for these samples. METHODS: In the current study, gene expression patterns in 73 samples of high-grade STS were examined using spotted cDNA microarray slides that contained similar to 16,000 unique UniGene clusters. Approximately 50% of the genes present in the ccRCC-, OVCA-, and AF-gene sets were also represented in the data from this chip set, and these were combined to form a composite gene set of 278 probes. RESULTS: Hierarchical clustering using this composite gene set suggested the existence of subsets of the STS samples. Analysis revealed differences in the time to development of metastatic disease between the clusters defined by the first branch point of the clustering dendrogram (P = .005), and also among the 4 different clusters defined by the second branch points (P = .001). CONCLUSIONS: This approach suggests the existence of >2 subsets of high-grade pleomorphic STS, each with distinct clinical behavior. A composite gene set such as that described here may be useful to stratify STS in clinical trials, and may be of practical utility in patient management. Cancer 2012.(c) 2012 American Cancer Society.
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| 2. |
- Martin-Broto, Javier, et al.
(author)
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Effects of denosumab on pain and analgesic use in giant cell tumor of bone: Interim results from a phase II study
- 2014
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In: Acta Oncologica. - 1651-226X. ; 53:9, s. 1173-1179
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Journal article (peer-reviewed)abstract
- Background. Giant cell tumor of bone (GCTB) is an aggressive primary osteolytic tumor. GCTB often involves the epiphysis, usually causing substantial pain and functional disability. Denosumab, a fully human monoclonal antibody against receptor activator of nuclear factor. kappa beta ligand (RANKL), is an effective treatment option for patients with advanced GCTB. This analysis of data from an ongoing, open-label study describes denosumab's effects on pain and analgesic use in patients with GCTB. Material and methods. Patients with unresectable disease (e. g. sacral or spinal GCTB, or multiple lesions including pulmonary metastases) were enrolled into Cohort 1 (N = 170), and patients with resectable disease whose planned surgery was associated with severe morbidity (e. g. joint resection, limb amputation, or hemipelvectomy) were enrolled into Cohort 2 (N = 101). Patients received denosumab (120 mg) subcutaneously every four weeks, with additional doses on study days 8 and 15. Patients assessed worst pain severity with the Brief Pain Inventory - Short Form (BPI-SF) at baseline, at each visit for the first six months, and every three months thereafter. Results. Clinically relevant pain improvement was reported by 29% of patients in Cohort 1 and 35% in Cohort 2 during week 1 and by >= 50% of patients in each cohort at each study visit from months 2-30. Median time to clinically relevant improvement was 30 (95% CI 16, 57) days in Cohort 1 and 15 (95% CI 15, 29) days in Cohort 2. Results in patients with moderate/severe pain at baseline were similar. Fewer than 30% of patients in Cohort 1 and 10% in Cohort 2 experienced clinically relevant pain worsening at any visit through 27 months. Most patients had no/low analgesic use during the study. Conclusion. Most patients treated with denosumab experienced clinically relevant decreases in pain within two months.
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