Predictive and prognostic values of preoperative platelet parameters in patients with gynecological tumors.

BACKGROUND: Platelets play a role in tumor cell growth, metastasis, and angiogenesis, and the present study aimed to evaluate diagnostic and prognostic values of platelet parameters in patients with gynecological tumors. METHODS: A total of 1062 women were included. Differences of platelet parameters (platelet count [PLT], plateletcrit [PCT], mean platelet volume [MPV], platelet-large cell rate [P-LCR], and platelet distribution width [PDW]) between different categories were analyzed by nonparametric test. The optimal cutoff value was calculated with receiver operating characteristic analysis. Overall survivals were analyzed with Kaplan-Meier method and log-rank tests for univariate analysis. RESULTS: Platelet count and PCT were significantly increased, and MPV and P-LCR were significantly reduced in malign and benign gynecological tumor groups compared with the controls (P < .001); PDW had no significant differences. There were no significant differences in PLT, PCT, MPV, P-LCR, and PDW between different tumor locations and pathologic types. The optimal cutoff values of PLT, PCT, MPV and P-LCR were 274, 0.26, 10.08, and 24.8 (AUC: 0.661, 0.643, 0.593, 0.562), and PCT had preferable sensibility and specificity (50.84% and 70.42%) in predicting the presence of gynecological tumors. According to survival analysis, increased PLT (≥274 × 109 /L) and PCT (≥0.26), and induced MPV (<10.08 fL) and P-LCR (<24.8%) were associated with shorter overall survival. CONCLUSIONS: Platelet count, PCT, MPV, and P-LCR can be used as preferable auxiliary parameters for predicting the presence of gynecological tumors. Increased PLT and PCT, or decreased MPV and P-LCR indicated a heavier tumor burden and shorter overall survival.

[Genetic Diagnosis and Phenotype Analysis for 3 Patients with Hereditary Coagulation Factor â ¦ Deficiency].

OBJECTIVE: To investigate the gene mutations types and the clinical characteristics in 3 patients with hereditary coagulation factor Ⅶ deficiency. METHODS: The phenotype diagnosis was validated by detecting the coagulation parameters including prothrombin time (PT)，activated partial thromboplastin time (APTT), fibrinogen (FIB), FⅦ activity (FⅦ: C) and specific antigens (FⅦ: Ag) of proband and its family members. All exons, exon-intron boundaries, 5＇ untranslated regions and 3＇ untranslated regions of F7 gene were amplified with PCR. Potential mutations were detected by direct sequencing of purified PCR products. Suspected mutations were confirmed by sequencing of the opposite strand. RESULTS: A total of 5 different mutations were identified in 3 patients with hereditary coagulation factor Ⅶ deficiency and family members, including 4 misssense mutations and 1 splice site mutation. Out of 3 cases of hereditary coagulation factor Ⅶ deficiency 2 had double heterozygous mutation, I had homozygous mutations. Patient 1 had p.His408Gln with p.Arg413Gln double heterozygous mutations, her sister had p.His408Gln with p.Arg413Gln double heterozygous mutations, another one had p.His408Gln mono-heterozygous mutation, their correspo FⅦ: C were 5%, 3%, 75%. Patient 2 had p.Arg364Gln with p.His408Gln double heterozygous mutations, her brother had p.Arg364Gln with IVS6-1G＞A double heterozygous mutations, their corresponding FⅦ: C were 2.0%, 2.0%. Patient 3 had p.Arg337Cys homozygous mutation, FⅦ: C was 3.0%. CONCLUSION: A total of 5 different mutations were identified in 3 patients with hereditary coagulation factor Ⅶ deficiency, the p.His408Gln is a common mutation, the FⅦ: C and FⅦ: Ag have no correlation with clinical phenotypes.