ABSTRACT
Objective@#To investigate the expression differences of serum tumor markers, such as CEA, CA125 and CA15-3, in different molecular subtypes of breast cancer and their correlations with recurrence and metastasis. @*Methods@#The medical records and follow-up data from 212 patients with breast cancer were retrospectively analyzed. According to the expression of hormone receptor, breast cancer were divided into four molecular subtypes: Luminal A, Luminal B, Her-2 overexpression and Basal-like. The clinical characteristics and levels of CEA, CA125 and CA15-3 in different molecular subtypes of breast cancer patients before operation were compared, and the factors influencing the recurrence and metastasis of breast cancer were analyzed. @*Results@#There were differences in the expression levels of tumor markers for different molecular subtypes of breast cancer. The expression levels of CA15-3 in patients with Her-2 overexpression were significantly higher than that with Luminal A, Luminal B or Basal-like (χ 2 =7.98,P=0. 04). The differentiation degree of tumor cells in different molecular subtypes of breast cancer was different, and the proportion of low differentiation in the patients with Her-2 overexpression was significantly higher than that with Luminal A, Luminal B or Basal-like (χ 2 =12.42,P=0.006). There was also differences in the recurrence and metastasis of tumor for 4 subtypes of breast cancer, and the highest recurrence and metastasis rate existed in the patients with Her-2 overexpression (F=8.69,P=0.034). The multivariate Cox regression analysis showed that tumor diameter, degree of tissue differentiation and presence or absence of vascular tumor thrombus were independent risk factors for the recurrence and metastasis of breast cancer patients (all P＜0.05). @*Conclusion@#The breast cancer patients with Her-2 overexpression have high levels of CA15-3 and poor prognosis, which suggests that the individualized treatment of breast cancer should be combined with molecular subtyping, tumor markers and related risk factors.
ABSTRACT
Objective To evaluate the clinical values of endogenous creatinine clearance rate(Ccr) ,serum creatinine (SCr) ,urea nitrogen(Urea) ,serum cystatin C(s‐Cys‐C) ,serum retinol binding protein(s‐RBP) ,Urine total protein (u‐Pro) ,urine albumin and creatinine ratio(u‐Alb/Cr) ,urine RBP(u‐RBP) ,urine Cys‐C(u‐Cys‐C) ,u‐NAG and et al in the diagnosis of chronic renal failure (CRF) ,find suitable and effective detection combinations to increase the diagnostic accuracy of CRF .Methods SCr ,Urea ,s‐Cys‐C , s‐RBP ,u‐Pro ,u‐Alb/Cr ,u‐RBP ,u‐Cys‐C ,u‐NAG were detected respectively in 206 hospitalized patients and Ccr values were calcu‐lated at the same time .By using Excel and SPSS19 .0 softwares ,the data were analysed .Combined detections included two and four items combined detections .Results Youden index(YI) of serum Cys‐C was 0 .59 .Area under the curve in the receiver operating characteristic(ROC) of Cys‐C was 0 .872 which was the highest of all the single detection items .Combined detection of SCr and s‐Cys‐C got the highest YI (0 .60) .Combination of four items(Urea ,SCr ,s‐RBP ,s‐Cys‐C) had the highest positive predictive value (100 .00% ) .Combination of u‐RBP and u‐Cys‐C had the highest negative predictive value(100 .00% ) .Conclusion Combined detec‐tion was more favorable for CRF diagnosis .Combination detection of SCr and s‐Cys‐C was the most valuable detection for the diag‐nosis of CRF .Among single item detections ,s‐Cys‐C detection had better sensitivity and specificity ,and diagnostic efficiency than other detection items .U‐RBP and u‐Cys‐C could be used to exclude renal impairment due to its noninvasive sampling .
ABSTRACT
To meet the needs of management of medical case information and biospecimen simultaneously, we developed a novel medical case information system integrating with biospecimen management. The database established by MS SQL Server 2000 covered, basic information, clinical diagnosis, imaging diagnosis, pathological diagnosis and clinical treatment of patient; physicochemical property, inventory management and laboratory analysis of biospecimen; users log and data maintenance. The client application developed by Visual C++ 6.0 was used to implement medical case and biospecimen management, which was based on Client/Server model. This system can perform input, browse, inquest, summary of case and related biospecimen information, and can automatically synthesize case-records based on the database. Management of not only a long-term follow-up on individual, but also of grouped cases organized according to the aim of research can be achieved by the system. This system can improve the efficiency and quality of clinical researches while biospecimens are used coordinately. It realizes synthesized and dynamic management of medical case and biospecimen, which may be considered as a new management platform.