Objective To investigate the expression level of human telomerase RNA component (hTERC) and C-myc in cervical lesions.Methods Fluorescence in situ hybridization (FISH) was applied to detect hTERC and C-myc expression in 62 cases of cervical tissue including 35 cases of cervical intraepithelial neoplasia,8 cases of invasive cervical cancer,19 cases of inflammation as controls.Results The positive rates of hTERC on chromosome 3 in chronic cervicitis organizations,CIN Ⅰ,CIN Ⅱ-Ⅲ and cervical cancer were 5.3 ％ (1/19),16.7 ％(2/12),87.0 ％ (20/23),87.5 ％ (7/8) (x2 =36.299,x2 =40.237,P ＜0.01).The positive rates of C-myc in chronic cervical inflammation organization,CIN Ⅰ,CIN Ⅱ-Ⅲ and cervical cancer were 5.3 ％ (1/19),8.3 ％ (1/12),78.3 ％ (18/23),62.5 ％ (5/8) (x2 =30.200,x2 =34.224,P ＜0.01 ).The differences among groups were statistically significant.hTERC had a positively correlation with C-myc expression (r =0.514,P ＜ 0.01).Conclusion The expression of hTERC and C-myc on chromosome 3 is closely related to cervical cancer progression.

Purpose To investigate the expression of Par3, Par6 and aPKC in gastric carcinoma and their significance. Method Ex-pression of Par3, Par6 and aPKC, by using immunohistochemistry, was detected in different sites of gastric carcinoma ( including the gastric carcinoma in gastric mucosa, the central area and the invasive front of gastric carcinoma) and the lymph node metastasis, using normal gastric mucosa as controls. Results Expression of Par3, Par6 and aPKC in different sites of gastric carcinoma was lower than in that of normal gastric mucosa (P<0. 01). Expression of Par3, Par6 and aPKC was obviously lower in gastric carcinoma with gastric phenotype than in that with intestinal phenotype and mixed phenotype of gastric carcinoma (P<0. 05, P<0. 01, P<0. 01);the rate of down-regulation of Par6 and aPKC in gastric carcinoma with invasion to ectoptygma and out of ectoptygma was obviously higher than that in gastric carcinoma which located at mucosa and under mucosa (P both<0. 01), and the rate of down-regulation of Par6 in gas-tric carcinoma with lymph node metastasis was obviously lower than that with no lymph node metastasis ( P>0. 05 ) . Conclusions The down-regulation expression of Par3, Par6 and aPKC may promote the carcinogenesis and progression of gastric carcinoma.

Purpose: Knowing the distinction between benign and borderline/malignant phyllodes tumors (PTs) can help in the surgical treatment course. Herein, we investigated the value of magnetic resonance imaging-based texture analysis (MRI-TA) in differentiating between benign and borderline/malignant PTs. Methods: Forty-three women with 44 histologically proven PTs underwent breast MRI before surgery and were classified into benign (n = 26) and borderline/malignant groups (n = 18 [15 borderline, 3 malignant]). Clinical and routine MRI parameters (CRMP) and MRI-TA were used to distinguish benign from borderline/malignant PT. In total, 298 texture parameters were extracted from fat-suppression (FS) T2-weighted, FS unenhanced T1-weighted, and FS first-enhanced T1-weighted sequences. To evaluate the diagnostic performance, receiver operating characteristic curve analysis was performed for the K-nearest neighbor classifier trained with significantly different parameters of CRMP, MRI sequence-based TA, and the combination strategy. Results: Compared with benign PTs, borderline/malignant ones presented a higher local recurrence (p = 0.045); larger size (p < 0.001); different time-intensity curve pattern (p = 0.010); and higher frequency of strong lobulation (p = 0.024), septation enhancement (p = 0.048), cystic component (p = 0.023), and irregular cystic wall (p = 0.045). TA of FS T2-weighted images (0.86) showed a significantly higher area under the curve (AUC) than that of FS unenhanced T1-weighted (0.65, p = 0.010) or first-enhanced phase (0.72, p = 0.049) images. The texture parameters of FS T2-weighted sequences tended to have a higher AUC than CRMP (0.79, p = 0.404). Additionally, the combination strategy exhibited a similar AUC (0.89, p = 0.622) in comparison with the texture parameters of FS T2-weighted sequences. Conclusion MRI-TA demonstrated good predictive performance for breast PT pathological grading and could provide surgical planning guidance. Clinical data and routine MRI features were also valuable for grading PTs.