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Serum CCL2 and serum TNF-α – Two new biomarkers predict bone invasion, post-treatment distant metastasis and poor overall survival in nasopharyngeal carcinoma
- Source :
-
European Journal of Cancer . Feb2011, Vol. 47 Issue 3, p339-346. 8p. - Publication Year :
- 2011
-
Abstract
- Abstract: Purpose: To evaluate the prognostic potential of serum CCL2 (sCCL2) and serum TNF-α (sTNF-α) in nasopharyngeal carcinoma (NPC) before treatment by analysing the expression of these two markers. Experimental design: Both sCCL2 and sTNF-α were prospectively detected in 297 NPC patients with enzyme-linked immunosorbent assay (ELISA) before treatment. The correlations between sCCL2 level or sTNF-α level and patient’s survival were evaluated. Results: For sCCL2, the 5-year overall survival (OS) and 5-year distant metastasis-free survival (DMFS) of high expression group and low expression group were 64% versus 81% and 67% versus 84% (P <0.05), respectively. For sTNF-α, the 5-year OS and 5-year DMFS of high expression group and low expression group were 62% versus 79% and 66% versus 82% (P <0.05), respectively. The 5-year OS and 5-year DMFS for both positive patients, one marker positive patient and both negative patients were 53% versus 77% versus 85% and 58% versus 80% versus 86% (P <0.05), respectively. Concentrations of sCCL2 and sTNF-α in patients with large skull base invasion were higher than those without or with small skull invasion (P <0.05). Patients who developed bone metastasis alone after radical treatment had higher pre-treatment concentrations of sCCL2 and sTNF-α than those without metastasis (P <0.001). Multifactorial Cox regression analyses demonstrated that T/N/M classification, chemotherapy, sCCL2 level and sTNF-α level were independent predictors of OS and DMFS of NPC patients. Conclusion: High expression levels of sCCL2 and sTNF-α predict bone invasion, post-treatment distant metastasis and poor overall survival in NPC patients. [Copyright &y& Elsevier]
- Subjects :
- *METASTASIS
*CANCER treatment
*ANALYSIS of variance
*BIOMARKERS
*CANCER patients
*GENES
*MULTIVARIATE analysis
*HEALTH outcome assessment
*SURVIVAL analysis (Biometry)
*TUMOR necrosis factors
*TUMOR classification
*GENOMICS
*DATA analysis
*TREATMENT effectiveness
*PROPORTIONAL hazards models
*DIAGNOSIS
NASOPHARYNX tumors
Subjects
Details
- Language :
- English
- ISSN :
- 09598049
- Volume :
- 47
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- European Journal of Cancer
- Publication Type :
- Academic Journal
- Accession number :
- 57681636
- Full Text :
- https://doi.org/10.1016/j.ejca.2010.09.025