2.Application of tissue expansion in post-mastectomy breast reconstruction
Jianxun MA ; Bi LI ; Youchen XIA ; Jie ZHANG ; Xin YANG ; Weitao YOU ; Bailin PAN
Chinese Journal of Plastic Surgery 2020;36(11):1194-1200
Objective:To investigate the application value and clinical effect of tissue expansion in post-mastectomy breast reconstruction.Methods:From January 2013 to May 2019, 173 patients (38.2±8.0 years old) with body mass index (BMI) of (21.5±2.1) kg/m 2 were treated in Peking University Third Hospital. There were 76 cases on the right side and 97 cases on the left side; 8 cases underwent nipple sparing mastectomy, and 165 cases underwent modified radical mastectomy; 150 cases received chemotherapy and 9 cases received radiotherapy. In the first stage, immediate or delayed chest wall soft tissue expansion was performed. In the second stage, implant replacement, autologous tissue transplantation, or the combination of these two methods was performed to complete the breast reconstruction. All patients were followed up and the clinical effect was evaluated by Harris evaluation method. Results:Among 173 cases, 95 cases were provided immediate reconstruction, and 78 cases were applied delayed reconstruction. The period of tissue expansion was (7.7±3.2) months. During the second stage of reconstruction, implant exchange was conducted in 105 cases, 48 cases received implant exchange with autologous fat injection, 17 cases were performed implant exchange with endoscopy-assisted latissimus dorsi muscle transfer, and 3 cases were applied deep inferior epigastric perforator flap (DIEP) transplantation. The average follow-up time was 12.6 months (3.5-41.0 months). One patient had local tumor recurrence, and the implant was finally removed. The reconstruction effects were evaluated by Harris method, which showed that 23 cases had excellent appearance, 129 cases were good, 13 cases were fair, 7 cases were poor, and 88.4% (152/172) patients were good or above.Conclusions:Tissue expansion plays an important role as a transfer station in post-mastectomy breast reconstruction. In the second stage, the breast reconstruction method can be flexibly selected. Tissue expansion has a wide range of indications, and is especially suitable for immediate post-mastectomy breast reconstruction. Good result can be obtained by using this technique.
3.Application of tissue expansion in post-mastectomy breast reconstruction
Jianxun MA ; Bi LI ; Youchen XIA ; Jie ZHANG ; Xin YANG ; Weitao YOU ; Bailin PAN
Chinese Journal of Plastic Surgery 2020;36(11):1194-1200
Objective:To investigate the application value and clinical effect of tissue expansion in post-mastectomy breast reconstruction.Methods:From January 2013 to May 2019, 173 patients (38.2±8.0 years old) with body mass index (BMI) of (21.5±2.1) kg/m 2 were treated in Peking University Third Hospital. There were 76 cases on the right side and 97 cases on the left side; 8 cases underwent nipple sparing mastectomy, and 165 cases underwent modified radical mastectomy; 150 cases received chemotherapy and 9 cases received radiotherapy. In the first stage, immediate or delayed chest wall soft tissue expansion was performed. In the second stage, implant replacement, autologous tissue transplantation, or the combination of these two methods was performed to complete the breast reconstruction. All patients were followed up and the clinical effect was evaluated by Harris evaluation method. Results:Among 173 cases, 95 cases were provided immediate reconstruction, and 78 cases were applied delayed reconstruction. The period of tissue expansion was (7.7±3.2) months. During the second stage of reconstruction, implant exchange was conducted in 105 cases, 48 cases received implant exchange with autologous fat injection, 17 cases were performed implant exchange with endoscopy-assisted latissimus dorsi muscle transfer, and 3 cases were applied deep inferior epigastric perforator flap (DIEP) transplantation. The average follow-up time was 12.6 months (3.5-41.0 months). One patient had local tumor recurrence, and the implant was finally removed. The reconstruction effects were evaluated by Harris method, which showed that 23 cases had excellent appearance, 129 cases were good, 13 cases were fair, 7 cases were poor, and 88.4% (152/172) patients were good or above.Conclusions:Tissue expansion plays an important role as a transfer station in post-mastectomy breast reconstruction. In the second stage, the breast reconstruction method can be flexibly selected. Tissue expansion has a wide range of indications, and is especially suitable for immediate post-mastectomy breast reconstruction. Good result can be obtained by using this technique.
4.Feasibility of constructing the intelligent detection model for foreign bodies on chest X-ray based on Faster R-convolutional neural network
Yu MENG ; Zhicheng MA ; Jingru RUAN ; Yang GAO ; Bailin YANG ; Linyang HE ; Xiangyang GONG
Chinese Journal of Radiology 2022;56(12):1359-1364
Objective:To construct an intelligent foreign bodies detection model based on Faster R-convolutional neural network in posterior-anterior chest X-ray and evaluate the performance of the model.Methods:Totally 5 567 adult posterior-anterior DR chest radiographs from Zhejiang Provincial People′s Hospital and Chun′an County People′s Hospital from June 2019 to March 2020, with 4 247 foreign body-containing chest radiographs were analyzed retrospectively. All data were randomly divided into training set (2 911 foreign body-containing), validation set ( n=1 456, 733 foreign body-containing, 723 free of foreign body) and testing set ( n=1 200, 603 foreign body-containing, 597 free of foreign body). The reference gold standard was set as the results of each chest radiography with foreign body annotated by two radiology residents and reviewed and corrected by a senior radiographer. The receiver operating characteristic (ROC) curve and the area under the curve were used to analyze the efficiency of the deep learning model to distinguish the presence or absence of foreign bodies on chest radiography in the testing set. The precision-recall curve and mean precision (mAP) were used to analyze the stability of the model at different levels. Finally, the influence of different locations, patient gender, and patient age on the foreign body recall of the deep learning model were analyzed. Results:In the testing set, the sensitivity of the deep learning model in diagnosing whether chest radiograph contained foreign bodies was 93.2%(562/603), the specificity was 92.6%(553/597), and the F1 score was 0.94. The area under the ROC curve was 0.97, and the mAP value was 0.69. For foreign bodies in different locations, the recall rates of foreign bodies in lung field and outside lung field were 91.2% (674/739) and 89.0% (1 411/1 585), respectively. For different genders, the recall rates for male and female foreign body detection were 87.3% (337/386) and 90.0%(1 745/1 938), respectively. For different age ranges, the recall rate of foreign body detection was 92.5% (1 041/1 126) for 18-38 years old, 89.7%(505/563) for 39-58 years old, 83.5%(335/401) for 59-78 years old and 85.9% (201/234) for patients ≥79 years old.Conclusion:The constructed deep learning-based foreign body detection model for adult posterior-anterior chest X-ray provides high sensitivity and stability, which can identify foreign bodies in chest radiography quickly and accurately.
5.Incidence, mortality, and disability-adjusted life years of female breast cancer in China, 2022
Kexin SUN ; Bailin ZHANG ; Shaoyuan LEI ; Rongshou ZHENG ; Xin LIANG ; Li LI ; Xiaolong FENG ; Siwei ZHANG ; Hongmei ZENG ; Yifei YAO ; Peiqing MA ; Shaoming WANG ; Ru CHEN ; Bingfeng HAN ; Wenqiang WEI ; Jie HE
Chinese Medical Journal 2024;137(20):2429-2436
Background::Breast cancer is ranked among the most prevalent malignancies in the Chinese female population. However, comprehensive reports detailing the latest epidemiological data and attributable disease burden have not been extensively documented.Methods::In 2018, high-quality cancer surveillance data were recorded in 700 population-based cancer registries in China. We extracted data on female breast cancers (International Classification of Diseases, Tenth Revision [ICD-10]: C50) and estimated the incidence and mortality in 2022 according to the baseline data and corresponding trends from 2010 to 2018. Pathological types were classified according to the ICD for Oncology, 3rd Edition codes. Disability-adjusted life years (DALYs) were calculated as the sum of the years of life lost (YLLs) and years lived with disability (YLDs).Results::In 2022, approximately 357,200 new female breast cancer cases and 75,000 deaths occurred in China, accounting for 15.59% and 7.94% of total new cancer cases and deaths, respectively. The age-standardized incidence rate (ASIR) was 33.04 per 100,000. When analyzed by pathological type, the ASIRs for papillary neoplasms, invasive breast carcinoma, rare and salivary gland-type tumors, and other types were 1.13, 29.79, 0.24, and 1.88 per 100,000, respectively. The age-standardized mortality rate (ASMR) was 6.10 per 100,000. A total of 2,628,000 DALYs were found to be attributable to female breast cancer in China, comprising 2,278,300 YLLs and 349,700 YLDs. The ASIR, ASMR, and age-standardized rate (ASR) for DALYs in urban areas were consistently higher than those in rural areas. We observed a four-fold increase in the ASIR and ASR for DALYs and an eight-fold increase in the ASMR among females over 55 years compared with those aged under 55 years.Conclusion::These data provide invaluable insights into the latest epidemiology of female breast cancer in China and highlight the urgency for disease prevention and control strategy formulation.
6.Impaired Global Longitudinal Strain Predicts Poor Prognosis in Patients With Acute ST-segment Elevation Myocardial Infarction After Percutaneous Coronary Intervention
Lan WANG ; Yuliang MA ; Tiangang ZHU ; Wenying JIN ; Bailin JIANG ; Chengfu CAO ; Jing WANG
Chinese Circulation Journal 2024;39(5):451-455
Objectives:To evaluate the impact of global longitudinal strain(GLS)for prognosis in ST-segment elevation myocardial infarction(STEMI)patients after percutaneous coronary intervention(PCI). Methods:We enrolled 156 STEMI patients who underwent PCI and spackle tracking imaging(STI)during hospitalization from September 2020 to August 2023.Patients with Killip Ⅱ-Ⅳ at baseline were excluded,138 patients were finally included.GLS was detected by STI.Patients were divided into more impaired group(GLS>-11.7%,n=57)and less impaired group(GLS≤-11.7%,n=81)according to Youden index.Clinical characteristics and echocardiography data were analyzed.Patients were followed up for a median of 21(13,28)months.Heart failure events were compared between the two groups. Results:The peak troponin I(TnI)was significantly higher in patients with GLS>-11.7%than those with GLS≤-11.7%at admission(85 160[31 297,214 226]pg/ml vs.34 942[13 571,92 713]pg/ml,P<0.001).Culprit vessel was different between the 2 groups(P<0.001).Compared with patients with GLS≤-11.7%,patients with GLS>-11.7%had lower left ventricular ejection fraction(LVEF)([60.1±8.7]%vs.[49.2±8.3]%,P<0.001),higher proportion of regional wall motion abnormality(90.1%vs.100%,P=0.015).Both LVEF and GLS recovered in patients with GLS>-11.7%during follow-up,but remained lower as compared to patients with GLS≤-11.7%(both P<0.001).The median follow-up time was 21(13,28)months.After adjusting age,sex,culprit vessel and peak TnI,the risk of heart failure of patients with GLS>-11.7%was significant higher(HR=9.123,95%CI:1.720-43.394,P=0.009). Conclusions:STEMI patients with more impaired GLS have a higher risk of heart failure post PCI.
7.MiR-3653 blocks autophagy to inhibit epithelial-mesenchymal transition in breast cancer cells by targeting the autophagy-regulatory genes ATG12 and AMBRA1.
Huachen SONG ; Zitong ZHAO ; Liying MA ; Bailin ZHANG ; Yongmei SONG
Chinese Medical Journal 2023;136(17):2086-2100
BACKGROUND:
Metastasis is the main cause of tumor-associated death and mainly responsible for treatment failure of breast cancer. Autophagy accelerates tumor metastasis. In our work, we aimed to investigate the possibility of microRNAs (miRNAs) which participate in the regulation of autophagy to inhibit tumor metastasis.
METHODS:
MiRNA array and comprehensive analysis were performed to identify miRNAs which participated in the regulation of autophagy to inhibit tumor metastasis. The expression levels of miR-3653 in breast cancer tissues and cells were detected by quantitative real-time polymerase chain reaction. In vivo and in vitro assays were conducted to determine the function of miR-3653. The target genes of miR-3653 were detected by a dual luciferase reporter activity assay and Western blot. The relationship between miR-3653 and epithelial-mesenchymal transition (EMT) was assessed by Western blot. Student's t -test was used to analyze the difference between any two groups, and the difference among multiple groups was analyzed with one-way analysis of variance and a Bonferroni post hoc test.
RESULTS:
miR-3653 was downregulated in breast cancer cells with high metastatic ability, and high expression of miR-3653 blocked autophagic flux in breast cancer cells. Clinically, low expression of miR-3653 in breast cancer tissues (0.054 ± 0.013 vs . 0.131 ± 0.028, t = 2.475, P = 0.014) was positively correlated with lymph node metastasis (0.015 ± 0.004 vs . 0.078 ± 0.020, t = 2.319, P = 0.023) and poor prognosis ( P < 0.001). miR-3653 ameliorated the malignant phenotypes of breast cancer cells, including proliferation, migration (MDA-MB-231: 0.353 ± 0.013 vs . 1.000 ± 0.038, t = 16.290, P < 0.001; MDA-MB-468: 0.200 ± 0.014 vs . 1.000 ± 0.043, t = 17.530, P < 0.001), invasion (MDA-MB-231: 0.723 ± 0.056 vs . 1.000 ± 0.035, t = 4.223, P = 0.013; MDA-MB-468: 0.222 ± 0.016 vs . 1.000 ± 0.019, t = 31.050, P < 0.001), and colony formation (MDA-MB-231: 0.472 ± 0.022 vs . 1.000 ± 0.022, t = 16.620, P < 0.001; MDA-MB-468: 0.650 ± 0.040 vs . 1.000 ± 0.098, t = 3.297, P = 0.030). The autophagy-associated genes autophagy-related gene 12 ( ATG12 ) and activating molecule in beclin 1-regulated autophagy protein 1 ( AMBRA1 ) are target genes of miR-3653. Further studies showed that miR-3653 inhibited EMT by targeting ATG12 and AMBRA1 .
CONCLUSIONS
Our findings suggested that miR-3653 inhibits the autophagy process by targeting ATG12 and AMBRA1 , thereby inhibiting EMT, and provided a new idea and target for the metastasis of breast cancer.
Cell Line, Tumor
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Epithelial-Mesenchymal Transition/genetics*
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MicroRNAs/metabolism*
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Autophagy/genetics*
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Genes, Regulator
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Gene Expression Regulation, Neoplastic/genetics*
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Cell Proliferation/genetics*
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Cell Movement/genetics*
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Neoplasms/genetics*