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Correlation Of Macrophage Migration Inhibitory Factor Gene Polymorphism With The Risk Of Early Stage Cervical Cancer And Lymph Node Metastasis

Posted on:2011-09-23Degree:MasterType:Thesis
Country:ChinaCandidate:H J TaoFull Text:PDF
GTID:2144360305478632Subject:Obstetrics and gynecology
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Aim:To investigate the effect of MIF gene-173G/C region polymorphism on the risk of early stage cervical cancer and lymph node metastasis in Shanxi.Methods:Use the case-control study, collected the 250 peripheral blood samples (include 49 cases with lymph metastasis and 201 cases without lymph metastasis) from patients with cervical cancer as case group, the control group were collected from 190 of peripheral blood samples from healthy women. Both groups were collected from Shanxi Han population. DNA was isolated from peripheral blood, use the Restriction Fragment Length Polymorphism polymerase chain reaction(RFLP-PCR) to analysis the genotype distribution and allele frequency of MIF-173G/C, discussed the correlation of MIF-173G/C with the risk of early stage cervical cancer,lymph metastasis and the degree of malignancy. At the same time, we used the Enzyme-Linked ImmunoSorbent Assay (ELISA) to detected the MIF concentration in the serum between the case group and the control group,the group with lymph metastasis and the group without lymph metastasis,different differentiation groups. Discussing the relationship between MIF level in the cervical cancer serum and MIF-173G/C polymorphism.Results:â‘ There are 3 genotypes in the MIF-173G/C polymorphism in Shanxi Han population:GG,CC and GC. The GG is the normol genotype,GC and CC genotypes are the risk factor of cervical cancer. The cervical cancer group and control group are suit for Hardy-Weinberg law, have group representativeness.The genotype distribution and allele frequency of MIF-173G/C are statistical significance (x 2=21.82, P<0.05) between the case group and the control group. The genotype distribution of GG,GC+CC is 16.80%,83.20% in the case group respectively, 27.21%,82.79% in the control group respectively. The result shows that the GC and CC genotype maybe the risk factors of the occurrence of cervical cancer. Compare to the G allele, C allele increase the risk of cervical cancer for 1.5 folds.â‘¡The genotype distribution and allele frequency of MIF-173G/C are statistical significance (P<0.05) between the lymph metastasis group and that without lymph metastasis. The genotype distribution of GG, GC+CC is 10.20%,89.80% in the case group respectively,15.92%,84.08% in the control group respectively. the CC genotype frequency of lymph metastasis group is higher than the group without lymph metastasis (55.11% vs 33.33%). Compare to the GG genotype, CC genotype could increase the risk of lymph metastasis for 3 folds(OR= 2.579,95% CI= 0.909-7.319), the C allele could increase the risk of lymph metastasis for 1.8 folds(OR= 1.850, 95% CI= 1.138-3.006).â‘¢The genotype distribution and allele frequency of MIF-173G/C are statistical significance in the high differentiation group,middling differentiation group and low differentiation group(P<0.05); Compare to the GG genotype and C allele, the patients with GC,CC genotypes and C allele could have lower differentiation degree and higher degree of malignancy.â‘£The results of ELISA demonstrate that MIF concentration in serum are significantly different (P<0.05) between the case group and the control group as well as between the group with lymph metastasis and the group without metastasis. Compare to the control group and the group without metastasis, higher serum MIF level was detected in the case group and the lymph metastasis group. People with CC genotype have a higher serum MIF level and higher degree of malignancy.Conclusions:People with GC+CC genotype and C allele at MIF-173G/C site may have a higher risk for the occurrence of early stage cervical cancer and the risk of lymph metastasis. The case group and the lymph metastasis group have higher MIF level in serum. Detect the MIF serum concentration and genotype maybe as the biomarker of early diagnosis and therapy.
Keywords/Search Tags:cervical cancer, MIF, gene polymorphisms, RFLP-PCR, ELISA
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