• Asian Pacific Journal of Cancer Prevention
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• 제16권8호
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• pp.3163-3166
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• 2015

Background: Patients with refractory or relapsed multiple myeloma are considered to have a very poor prognosis, and new regimens are needed to improve this setting. Pomalidomide is a new immunomodulatory drug with high in vitro potency. Immunomodulatory drugs are hypothesized to act through multiple mechanisms. Here we performed a systemic analysis to evaluate pomalidomide-based chemotherapy (pomalidomide in combination with low-dose dexamethasone) as salvage treatment for patients with refractory and relapsed multiple myeloma. Methods: Clinical studies evaluating the efffectiveness of pomalidomide based regimens on response and safety for patients with refractory and relapsed multiple myeloma were identified using a predefined search strategy. Pooled response rate (RR) of treatment were calculated. Results: For pomalidomide based regimens, 4 clinical studies which including 291 patients with refractory and relapsed multiple myeloma were considered eligible for inclusion. Systemic analysis suggested that, in all patients, pooled RR was 41.2% (120/291). Major adverse effects were hematologic toxicity, including grade 1 or 2 anemia, leucopenia and thrombocytopenia with pomalidomide based treatment. No treatment related death occurred. Conclusion: This pooled analysis suggests that pomalidomide in combination with low-dose dexamethasone is active with good tolerability in treating patients with refractory or relapsed multiple myeloma.

• Genomics & Informatics
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• 제19권1호
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• pp.4.1-4.9
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• 2021

Lip and oral cavity cancer, which can occur in any part of the mouth, is the 11th most common type of cancer worldwide. The major obstacles to patients' survival are the poor prognosis, lack of specific biomarkers, and expensive therapeutic alternatives. This study aimed to identify the main genes and pathways associated with lip and oral cavity carcinoma using network analysis and to analyze its molecular mechanism and prognostic significance further. In this study, 472 genes causing lip and oral cavity carcinoma were retrieved from the DisGeNET database. A protein-protein interaction network was developed for network analysis using the STRING database. VEGFA, IL6, MAPK3, INS, TNF, MAPK8, MMP9, CXCL8, EGF, and PTGS2 were recognized as network hub genes using the maximum clique centrality algorithm available in cytoHubba, and nine potential drug candidates (ranibizumab, siltuximab, sulindac, pomalidomide, dexrazoxane, endostatin, pamidronic acid, cetuximab, and apricoxib) for lip and oral cavity cancer were identified from the DGIdb database. Gene enrichment analysis was also performed to identify the gene ontology categorization of cellular components, biological processes, molecular functions, and biological pathways. The genes identified in this study could furnish a new understanding of the underlying molecular mechanisms of carcinogenesis and provide more reliable biomarkers for early diagnosis, prognostication, and treatment of lip and oral cavity cancer.