1.Combined detection of serum DKK1 and P53 autoantibodies for the diagnostic value of esophageal squa-mous cell carcinoma
Yuhui PENG ; Jianliang CHEN ; Xuefen WENG ; Yusen FANG ; Yiwei XU
Journal of International Oncology 2015;(6):414-418
Objective To evaluate the diagnostic value of the combination of serum DKK1 (Dickkopf-1 )and P53 autoantibodies in patients with esophageal squamous cell carcinoma (ESCC).Methods Serum levels of DKK1 and P53 autoantibodies were measured by enzyme-linked immunosorbent assay (ELISA) for the 1 26 patients with ESCC and 60 normal controls.Receiver operating characteristics (ROC)was used to calculate the diagnostic efficiency.Results The serum levels of DKK1 and P53 autoantibodies were signifi-cantly higher in ESCC than those in normal controls [(673.09 ±343.82)pg/ml vs (362.05 ±1 48.07)pg/ml, Z =6.1 58,P <0.000 1 ;(0.398 ±0.546)vs (0.069 ±0.050),Z =3.832,P <0.000 1 ].ROC curves showed the optimum diagnostic cutoff for serum DKK1 was 588.77 pg/ml,with an area under curve (AUC)of 0.780 (95%CI:0.71 5 ~0.844,61 .9% sensitivity,95.0% specificity).Measurement of P53 autoantibodies demonstrated an AUC of 0.674 (95%CI:0.598 ~0.750,45.3% sensitivity,95.0% specificity).The com-bination of DKK1 and P53 autoantibodies yielded an AUC of 0.843 (95%CI:0.788 ~0.897,73.8% sensitiv-ity,95.0% specificity).In early-stage ESCC,combined detection of DKK1 and P53 autoantibodies improved the diagnostic power,with an AUC of 0.903 (95%CI:0.845 ~0.961 ,81 .0% sensitivity,95.0% specifici-ty).Conclusion Serum DKK1 and P53 autoantibodies can be used as potential diagnostic biomarkers for the ESCC.Combined detection of them might aid the early diagnosis of ESCC.
2.Serum proteomic-based analysis identifying autoantibody against ENO1 as a potential diagnostic biomarker in nasopharyngeal carcinoma
Xiaofen ZHAN ; Xuefen WENG ; Shihuang YANG ; Yiwei XU ; Yuhui PENG ; Hong GUO
Journal of International Oncology 2020;47(9):513-517
Objective:To screen and identify autoantibody biomarker to diagnose patients with nasopharyngeal carcinoma (NPC).Methods:Candidate autoantibodies against tumor-associated antigens were identified from NPC CNE2 cells using serological proteome analysis. Levels of candidate autoantibody biomarkers were measured by enzyme-linked immunosorbent assay (ELISA) in 50 patients with NPC and 80 normal controls recruited from the Cancer Hospital of Shantou University Medical College between July 2014 and January 2015. Receiver operating characteristic curve (ROC) was employed to evaluate diagnostic efficacy.Results:Serological proteome analysis showed that sera from patients with NPC yielded a positive spot, of which was identified as enolase 1 (ENO1). ELISA results showed that the level of serum autoantibody against ENO1 in patients with NPC was significantly higher than that in normal controls [0.165 (0.088, 0.378) vs. 0.100 (0.054, 0.117), Z=4.077, P<0.001]. With the optimum diagnostic cutoff of 0.164, ROC curve showed the diagnostic sensitivity and specificity of autoantibodies against ENO1 were 52.0% and 90.0%, respectively. Measurement of autoantibody against ENO1 demonstrated a positive rate of 75.0% for early stage NPC. Conclusion:Autoantibody against ENO1 may be a potential diagnostic biomarker for NPC.
3.Diagnostic value of combined detection of autoantibodies against p53 and Bmi-1 in lung cancer
Lisheng HUANG ; Yuhao LUO ; Xuefen WENG ; Yuhui PENG ; Yiwei XU
Journal of Chinese Physician 2017;19(11):1645-1648
Objective To evaluate the diagnostic value of combined detection of serum autoantibodies against against p53 and Bmi-1 in lung cancer (LC).Methods Serum levels of autoantibodies against p53 and Bmi-1 were measured by enzyme-linked immunosorbent assay (ELISA) in 92 patients with LC and 80 normal controls.The combined diagnostic value was evaluated with the receiver operating characteristic (ROC) curve.Results The serum levels of autoantibodies against p53 and Bmi-1 were significantly higher in LC than in normal controls (0.438 ±0.705 vs 0.045 ±0.035,Z =-7.667,P <0.01;0.117±0.061 vs 0.068 ±0.031,Z =-7.179,P <0.01).The levels of autoantibodies against p53 and Bmi-1 were not related to age,gender,pathological classification,lymph node status or tumor-node-metastasis (TNM) stage (P > 0.05).The combined detection of two autoantibodies provided an enhanced sensitivity of 63.0%,a specificity of 91.2% and an area under curve (AUC) of 0.881,which showed better diagnostic efficiency compared to individual autoantibodies.Conclusions Combined detection of autoantibodies against p53 and Bmi-1 shows good diagnostic value,which may aid diagnosis of LC.
4.Current status and influencing factors for discharge readiness in elderly patients with hip fractures
Dan HE ; Sanlian HU ; Ling ZHOU ; Huijuan QIAN ; Yuhui WENG ; Suifang HUANG ; Wei CHEN ; Jing XU
Chinese Journal of Modern Nursing 2020;26(27):3732-3737
Objective:To understand the current status of discharge readiness for elderly patients with hip fractures and analyze its influencing factors.Methods:The convenient sampling method was used to select 180 elderly patients with hip fractures who were to be discharged from the hospital after surgery in the Orthopedic Department of a Class Ⅲ Grade A hospital in Shanghai from October 2018 to June 2019. General information questionnaire, Readiness for Hospital Discharge Scale (RHDS) and Quality of Discharge Teaching Scale (QDTS) were used for the questionnaire survey. Pearson correlation analysis was used to analyze the correlation between discharge guidance quality and discharge readiness, and multiple linear regression analysis was used to analyze the influencing factors of discharge readiness.Results:The standardized score of discharge readiness of elderly patients with hip fracture was (6.37±1.26) points, which was in the middle level. Multiple linear regression analysis showed that fracture location, education level, caregiver, age, chronic disease and complications were the influencing factors of the readiness for discharge of elderly patients with hip fractures ( P<0.05) . The total score of QDTS for elderly patients with hip fractures was (140.52±17.27) points, which was in the upper middle level. There was a statistically significant difference between the total scores of the required and obtained discharge guidance ( P<0.05) . The total scores of discharge readiness and discharge guidance quality were positively correlated ( P<0.05) . Conclusions:The discharge readiness of elderly patients with hip fracture is affected by many factors and positively correlated with the quality of discharge guidance. According to the current status of discharge readiness and discharge guidance quality of elderly patients with hip fractures, weak links should be identified, and various forms of transitional discharge preparation services should be carried out with the help of information technology.