1.Relationships between HER2 protein expression and imaging features in HER2 positive breast cancer patients
Chengtian FENG ; Furong HUANG ; Shiyu CAO ; Jianyu WANG ; Abiyasi NANDING ; Yongdong JIANG ; Juanying ZHU
Journal of International Oncology 2023;50(9):527-531
Objective:To investigate the relationships between the expression level of human epidermal growth factor receptor 2 (HER2) in HER2-positive breast cancer and the characteristics of ultrasound imaging and mammography.Methods:The imaging data of 486 patients with HER2-positive breast cancer treated in the Harbin Medical University Cancer Hospital from January 2014 to December 2021 were retrospectively collected. The relationships between the expression level of HER2 and the imaging features of breast ultrasound and mammography were analyzed.Results:49.38% (240/486) of HER2-positive breast cancer patients were HER2 2+, and 50.62% (246/486) of HER2-positive breast cancer patients were HER2 3+. The age of HER2 2+ patients [ (52.88±1.16) years] was older than the age of HER2 3+ patients [ (49.59±1.00) years], and there was a statistically significant difference ( t=18.07, P<0.001) . There was a statistically significant difference of menstrual status between HER2 2+ patients and HER2 3+ patients ( χ2=4.42, P=0.036) . There were statistically significant differences in the ultrasonography showed burr sign ( χ2=8.37, P=0.010) , posterior echo ( χ2=9.68, P=0.017) , axillary lymph node enlargement ( χ2=15.77, P<0.001) between HER2 2+ patients and HER2 3+ patients. There was a statistically significant difference in the mammography showed whether there were lumps between HER2 2+ patients and HER2 3+ patients ( χ2=15.81, P<0.001) . Conclusion:The expression level of HER2 in HER2-positive breast cancer patients is related to burr sign, posterior echo, and axillary lymph node enlargement shown by ultrasound, as well as lumps shown by mammography, which can provide certain information for clinical prediction of malignant degree of breast cancer, prognosis and individualized treatment plan.
2.A preoperative prediction model for breast benign and malignant phyllodes tumors
Jialin LIU ; Xianyu ZHANG ; Abiyasi NANDING ; Siliang ZHANG ; Wei MENG ; Da PANG
Tumor 2023;43(2):106-113
Objective:To establish a predictive model for preoperative diagnosis of benign and malignant phyllodes tumor of the breast(PTB). Methods:The clinicopathological data of 69 patients with benign PTB and 41 patients with malignant PTB(24 borderline and 17 malignant)who underwent multiple(≥2)preoperative ultrasound follow-ups in the Cancer Hospital of Harbin Medical University from January 2011 to December 2018 were retrospectively analyzed.The preoperative prediction models of benign and malignant PTB were constructed by using the influencing factors determined by multivariate logistic regression analysis.The receiver operating characteristic(ROC)curve was used to evaluate the efficiency of the prediction model.In addition,the clinicopathological data of 22 patients of benign PTB and 19 patients of malignant PTB(12 borderline and 7 malignant)admitted to the hospital from January 2019 to April 2022 were selected for external verification. Results:Logistic regression analysis showed that growth rate of tumor>2 mm/month and ultrasound BI-RADS category≥4b were independent predictors for the diagnosis of malignant PTB(OR:4.476,95%CI:1.673~11.975;OR:9.448,95%CI:3.149~28.345;P<0.01).The logistic regression equation:Logit(P)=-1.868+1.499×growth rate of tumor+2.246×ultrasound BI-RADS category.The AUC for the training cohort was 0.795(95%CI:0.699~0.890),the best cut-off value was 0.421,the corresponding sensitivity was 0.732,the specificity was 0.826,and the Jorden index was 0.558,P<0.001.The AUC for the the validation cohort was 0.772(95%CI:0.624~0.919),with the sensitivity of 0.526 and the specificity of 0.773,positive predictive value was 0.667 and negative predictive value was 0.654,P = 0.003.The AUC of the training cohort and the validation cohort were both>0.75,indicating that the model has certain predictive ability. Conclusion:The predictive model constructed by clinicopathological parameters can be used for preoperative diagnosis of benign PTB and malignant PTB,and provide a certain reference value for clinicians to select the appropriate surgical resection scope.
3. Clinical pathological characteristics of resectable papillary thyroid microcarcinoma
Chenlei SHI ; Yong GUO ; Yichen LYU ; Abiyasi NANDING ; Wenchao GAO ; Tiefeng SHI ; Huadong QIN ; Shaoyan LIU
Chinese Journal of Oncology 2017;39(5):361-366
Objective:
To investigate the difference of prognostic factors and recurrence rates between papillary thyroid microcarcinoma (PTMC) and lager papillary thyroid carcinoma (PTC) and analyze the clinical pathological characteristics of PTMC suitable for surgery.
Methods:
A retrospective analysis on the clinicopathological features, expression level of of v-raf murine sarcoma viral oncogene homolog B1 (BRAF) V600E gene mutation and pigment epithelium-derived factor (PEDF), and postoperative follow-up results of the 251 PTC patients who underwent surgical treatment from October 2011 to October 2013, including 169 cases with PTMC and 82 with lager PTC (Tumor diameter>1 cm).
Results:
The BRAF V600E mutation rates of PTMC and lager PTC patients are 65.1%(110/169)and 78.0% (64/82) respectively, and the difference is statistically significant (