Objective To analyze the influencing factors of poor incision healing in postoperative patients with breast cancer.Methods The clinical data of 150 patients with breast cancer diagnosed by the Department of Nail Milk surgery of the Fifth affiliated Hospital of Xinjiang Medical University from January 2016 to December 2023 were retrospectively analyzed.According to the postoperative wound healing,the patients were divided into two groups:good healing group(n=94)and poor healing group(n=56).The general data,operation-related data and clinicopathological characteristics of the two groups were collected for univariate analysis,and the single-factor indexes with statistical significance were analyzed by multivariate Logistic analysis to screen the risk factors of poor incision healing after operation.The statistically significant indexes of regression analysis were analyzed by receiver operating characteristic(ROC)curve to further explore its predictive value in poor incision healing after breast cancer operation.Results The data of the two groups were compared and analyzed.Multivariate Logistic regression analysis showed that BMI,diabetes,age,axillary lymph node dissection and hemoglobin were independent risk factors for poor incision healing(P＜0.05).ROC curve analysis of independent risk factors showed that when the age was more than 57.5,the area under the curve(AUC)was 0.635,the sensitivity was 55.4％,the specificity was 68.1％,and the critical value was 57.5.When BMI＞24.9 kg/m2,the area under the curve(AUC)was 0.735,the sensitivity was 87.5％,the specificity was 61.7％,and the critical value was 24.9(P＜0.001).When hemoglobin＜101.5 g/L,the area under the curve(AUC)was 0.829,the sensitivity was 57.1％,the specificity was 94.7％,and the critical value was 101.5 g/L(P＜0.001).Conclusion BMI,diabetes,hemoglobin,age and axillary lymph node dissection are independent risk factors for poor wound healing after breast cancer operation.When BMI＞24.9 kg/m2,age＞57.5 years old and hemoglobin＜101.5 g/L,it can predict the occurrence of poor incision healing in patients with breast cancer.

Objective To analyze the influencing factors of poor incision healing in postoperative patients with breast cancer.Methods The clinical data of 150 patients with breast cancer diagnosed by the Department of Nail Milk surgery of the Fifth affiliated Hospital of Xinjiang Medical University from January 2016 to December 2023 were retrospectively analyzed.According to the postoperative wound healing,the patients were divided into two groups:good healing group(n=94)and poor healing group(n=56).The general data,operation-related data and clinicopathological characteristics of the two groups were collected for univariate analysis,and the single-factor indexes with statistical significance were analyzed by multivariate Logistic analysis to screen the risk factors of poor incision healing after operation.The statistically significant indexes of regression analysis were analyzed by receiver operating characteristic(ROC)curve to further explore its predictive value in poor incision healing after breast cancer operation.Results The data of the two groups were compared and analyzed.Multivariate Logistic regression analysis showed that BMI,diabetes,age,axillary lymph node dissection and hemoglobin were independent risk factors for poor incision healing(P＜0.05).ROC curve analysis of independent risk factors showed that when the age was more than 57.5,the area under the curve(AUC)was 0.635,the sensitivity was 55.4％,the specificity was 68.1％,and the critical value was 57.5.When BMI＞24.9 kg/m2,the area under the curve(AUC)was 0.735,the sensitivity was 87.5％,the specificity was 61.7％,and the critical value was 24.9(P＜0.001).When hemoglobin＜101.5 g/L,the area under the curve(AUC)was 0.829,the sensitivity was 57.1％,the specificity was 94.7％,and the critical value was 101.5 g/L(P＜0.001).Conclusion BMI,diabetes,hemoglobin,age and axillary lymph node dissection are independent risk factors for poor wound healing after breast cancer operation.When BMI＞24.9 kg/m2,age＞57.5 years old and hemoglobin＜101.5 g/L,it can predict the occurrence of poor incision healing in patients with breast cancer.

Objective The objective of this study was to investigate the expression of P28 and P43 in papillary thyroid carcinoma(PTC)and its relationship with clinicopathological features after TRa1 gene transcription.Methods Real-time fluorescence quantitative PCR(RT-PCR)and gel electrophoresis were used to determine the target fragments and to isolate the bands of different fragments.The optical density of each band was scanned by UV transmittance analyzer to detect 31 cases of PTC tissue and expression levels of P28 and P43 in para-cancerous tissues.Results The average gray value of P28 in thyroid carcinoma group was 0.77±0.34,which was significantly higher than that in para-cancer group(0.31±0.18).The average gray value of P43(0.85+0.21)in thyroid carcinoma group was significantly higher than that in para-cancer group(0.34±0.15)(P<0.05).The expression levels of P28 were not correlated with gender,age,tumor size,lymph node metastasis and clinical pathologic stage(P>0.05),The expression levels of P43 were not correlated with gender,age,tumor size and lymph node metastasis.(P>0.05)but they were related to clinical pathologic stage(P<0.05).There was no correlation between expression levels of P28 and P43(r=0.266,P=0.071).Conclusion The increased expression of P28 and P43 may have a high degree of malignancy and a certain clinical value in predicting the adverse prognosis of PTC.Both factors are helpful for the prevention and treatment of PTC.

Background and purpose:There is an increasing of breast diseases every year. It is important for us to detect the tumor characteristic and to establish the diagnosis of breast diseases through their clinical manifestation and pathology.Methods:A retrospective analysis of 864 cases of breast diseases after surgical operation,was made in our hospital, from 2000 to 2006.Results:85.7% of 864 cases were fibro benign diseases, and most of them were fibro cystic hyperplasia and fibroadenoma of breast.Malignant disease was found 123 cases, and most of them were invasive ductal carcinoma, then medullary carcinoma and early infiltrating carcinoma.It is significant that the youngest age from 30 years old and the incidence rate increased with the age.Conclusions:It is very important to promate the diagnosis rate of breast carcinoma by early prevention and treatment to screen breast diseases and monitor high risk population in time.