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Han X, Liu Y, Zhang S, Li L, Zheng L, Qiu L, Chen J, Zhan Z, Wang S, Ma J, Kang D, Chen J. Improving the diagnosis of ductal carcinoma in situ with microinvasion without immunohistochemistry: An innovative method with H&E-stained and multiphoton microscopy images. Int J Cancer 2024; 154:1802-1813. [PMID: 38268429 DOI: 10.1002/ijc.34855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/12/2023] [Accepted: 12/21/2023] [Indexed: 01/26/2024]
Abstract
Ductal carcinoma in situ with microinvasion (DCISM) is a challenging subtype of breast cancer with controversial invasiveness and prognosis. Accurate diagnosis of DCISM from ductal carcinoma in situ (DCIS) is crucial for optimal treatment and improved clinical outcomes. However, there are often some suspicious small cancer nests in DCIS, and it is difficult to diagnose the presence of intact myoepithelium by conventional hematoxylin and eosin (H&E) stained images. Although a variety of biomarkers are available for immunohistochemical (IHC) staining of myoepithelial cells, no single biomarker is consistently sensitive to all tumor lesions. Here, we introduced a new diagnostic method that provides rapid and accurate diagnosis of DCISM using multiphoton microscopy (MPM). Suspicious foci in H&E-stained images were labeled as regions of interest (ROIs), and the nuclei within these ROIs were segmented using a deep learning model. MPM was used to capture images of the ROIs in H&E-stained sections. The intensity of two-photon excitation fluorescence (TPEF) in the myoepithelium was significantly different from that in tumor parenchyma and tumor stroma. Through the use of MPM, the myoepithelium and basement membrane can be easily observed via TPEF and second-harmonic generation (SHG), respectively. By fusing the nuclei in H&E-stained images with MPM images, DCISM can be differentiated from suspicious small cancer clusters in DCIS. The proposed method demonstrated good consistency with the cytokeratin 5/6 (CK5/6) myoepithelial staining method (kappa coefficient = 0.818).
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Affiliation(s)
- Xiahui Han
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Yulan Liu
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Shichao Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Lida Qiu
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China
| | - Jianhua Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
- College of Life Science, Fujian Normal University, Fuzhou, China
| | - Zhenlin Zhan
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Shu Wang
- College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
| | - Jianli Ma
- Department of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
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Jia P, Tang Y, Niu L, Qiu L. Clinical and radiographic outcomes of a combined surgery approach to treat peri-implantitis. Int J Oral Maxillofac Surg 2024; 53:333-342. [PMID: 38154998 DOI: 10.1016/j.ijom.2023.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 11/17/2023] [Accepted: 11/22/2023] [Indexed: 12/30/2023]
Abstract
Peri-implant infra-bony defects are difficult to treat, and data on the management of peri-implantitis are lacking. The aim of this study was to evaluate the effect of a combined surgical approach to manage peri-implantitis: implantoplasty with xenogeneic bone grafting and a concentrated growth factor membrane. Two independent examiners analysed the medical records and radiographs taken before surgery and at the last follow-up. Data were analysed at the implant level; some patient-level data (age, sex, smoking habit) were also considered. Linear regression analysis with generalized estimating equations (GEE) was used to explore the effect of variables of interest (including marginal bone level (MBL)) on implantitis treatment success and resolution rates. The effect of the prosthesis type on postoperative clinical and radiographic parameters was also explored by GEE, with adjustment for age, sex, tooth site, location, follow-up duration, and implant length (model IV including all). Thirty patients with 72 implants were investigated. The implant survival rate was 100% over a mean observation period of 3.3 years (range 2-11 years). The treatment success rate (bone loss <0.5 mm, no bleeding on probing (BOP), no suppuration, probing depth (PD) < 5 mm) was higher in females than males (50% vs 19.0%; P = 0.008). At the last postoperative follow-up, the MBL (1.51 ± 1.07 vs 4.01 ± 1.13 mm), PD (3.61 ± 0.84 vs 6.54 ± 1.01 mm), and BOP (23.38 ± 23.18% vs 79.17 ± 15.51%) were significantly reduced when compared to pre-surgery values (all P < 0.001). Furthermore, a significantly higher PD reduction (β = -1.10 mm, 95% confidence interval -1.97 to -0.23 mm, P = 0.014) was observed for implants with a single crown than a full-arch prosthesis (GEE model IV). Preliminary clinical and radiographic data indicate that implantoplasty in combination with surgery could be an effective treatment option for peri-implantitis.
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Affiliation(s)
- P Jia
- Fourth Division, Peking University School and Hospital of Stomatology, China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, China; Research Center of Engineering and Technology for Digital Dentistry of the Ministry of Health, China; Beijing Key Laboratory of Digital Stomatology, Beijing, China
| | - Y Tang
- Fourth Division, Peking University School and Hospital of Stomatology, China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, China; Research Center of Engineering and Technology for Digital Dentistry of the Ministry of Health, China; Beijing Key Laboratory of Digital Stomatology, Beijing, China
| | - L Niu
- Fourth Division, Peking University School and Hospital of Stomatology, China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, China; Research Center of Engineering and Technology for Digital Dentistry of the Ministry of Health, China; Beijing Key Laboratory of Digital Stomatology, Beijing, China
| | - L Qiu
- Fourth Division, Peking University School and Hospital of Stomatology, China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, China; Research Center of Engineering and Technology for Digital Dentistry of the Ministry of Health, China; Beijing Key Laboratory of Digital Stomatology, Beijing, China.
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Kang D, Wang C, Han Z, Zheng L, Guo W, Fu F, Qiu L, Han X, He J, Li L, Chen J. Exploration of the relationship between tumor-infiltrating lymphocyte score and histological grade in breast cancer. BMC Cancer 2024; 24:318. [PMID: 38454386 PMCID: PMC10921807 DOI: 10.1186/s12885-024-12069-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 02/28/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND The histological grade is an important factor in the prognosis of invasive breast cancer and is vital to accurately identify the histological grade and reclassify of Grade2 status in breast cancer patients. METHODS In this study, data were collected from 556 invasive breast cancer patients, and then randomly divided into training cohort (n = 335) and validation cohort (n = 221). All patients were divided into actual low risk group (Grade1) and high risk group (Grade2/3) based on traditional histological grade, and tumor-infiltrating lymphocyte score (TILs-score) obtained from multiphoton images, and the TILs assessment method proposed by International Immuno-Oncology Biomarker Working Group (TILs-WG) were also used to differentiate between high risk group and low risk group of histological grade in patients with invasive breast cancer. Furthermore, TILs-score was used to reclassify Grade2 (G2) into G2 /Low risk and G2/High risk. The coefficients for each TILs in the training cohort were retrieved using ridge regression and TILs-score was created based on the coefficients of the three kinds of TILs. RESULTS Statistical analysis shows that TILs-score is significantly correlated with histological grade, and is an independent predictor of histological grade (odds ratio [OR], 2.548; 95%CI, 1.648-3.941; P < 0.0001), but TILs-WG is not an independent predictive factor for grade (P > 0.05 in the univariate analysis). Moreover, the risk of G2/High risk group is higher than that of G2/Low risk group, and the survival rate of patients with G2/Low risk is similar to that of Grade1, while the survival rate of patients with G2/High risk is even worse than that of patients with G3. CONCLUSION Our results suggest that TILs-score can be used to predict the histological grade of breast cancer and potentially to guide the therapeutic management of breast cancer patients.
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Affiliation(s)
- Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China
| | - Chuan Wang
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China
| | - Zhonghua Han
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, 350007, Fuzhou, P. R. China
| | - Wenhui Guo
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China
| | - Fangmeng Fu
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, 350001, Fuzhou, P. R. China
| | - Lida Qiu
- College of Physics and Electronic Information Engineering, Minjiang University, 350108, Fuzhou, P. R. China
| | - Xiahui Han
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, 350007, Fuzhou, P. R. China
| | - Jiajia He
- School of Science, Jimei University, 361021, Xiamen, P. R. China.
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, 350007, Fuzhou, P. R. China.
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, 350007, Fuzhou, P. R. China.
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Huang X, Fu F, Guo W, Kang D, Han X, Zheng L, Zhan Z, Wang C, Zhang Q, Wang S, Xu S, Ma J, Qiu L, Chen J, Li L. Prognostic significance of collagen signatures at breast tumor boundary obtained by combining multiphoton imaging and imaging analysis. Cell Oncol (Dordr) 2024; 47:69-80. [PMID: 37606817 DOI: 10.1007/s13402-023-00851-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/28/2023] [Indexed: 08/23/2023] Open
Abstract
PURPOSE Collagen features in breast tumor microenvironment is closely associated with the prognosis of patients. We aim to explore the prognostic significance of collagen features at breast tumor border by combining multiphoton imaging and imaging analysis. METHODS We used multiphoton microscopy (MPM) to label-freely image human breast tumor samples and then constructed an automatic classification model based on deep learning to identify collagen signatures from multiphoton images. We recognized three kinds of collagen signatures at tumor boundary (CSTB I-III) in a small-scale, and furthermore obtained a CSTB score for each patient based on the combined CSTB I-III by using the ridge regression analysis. The prognostic performance of CSTB score is assessed by the area under the receiver operating characteristic curve (AUC), Cox proportional hazard regression analysis, as well as Kaplan-Meier survival analysis. RESULTS As an independent prognostic factor, statistical results reveal that the prognostic performance of CSTB score is better than that of the clinical model combining three independent prognostic indicators, molecular subtype, tumor size, and lymph nodal metastasis (AUC, Training dataset: 0.773 vs. 0.749; External validation: 0.753 vs. 0.724; HR, Training dataset: 4.18 vs. 3.92; External validation: 4.98 vs. 4.16), and as an auxiliary indicator, it can greatly improve the accuracy of prognostic prediction. And furthermore, a nomogram combining the CSTB score with the clinical model is established for prognosis prediction and clinical decision making. CONCLUSION This standardized and automated imaging prognosticator may convince pathologists to adopt it as a prognostic factor, thereby customizing more effective treatment plans for patients.
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Affiliation(s)
- Xingxin Huang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Fangmeng Fu
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Wenhui Guo
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Xiahui Han
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Zhenlin Zhan
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Chuan Wang
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Qingyuan Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Shu Wang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
- College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
| | - Shunwu Xu
- School of Electronic and Mechanical Engineering, Fujian Polytechnic Normal University, Fuqing, 350300, China
| | - Jianli Ma
- Department of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
| | - Lida Qiu
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, 350108, China.
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China.
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China.
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Xi G, Huang C, Lin J, Luo T, Kang B, Xu M, Xu H, Li X, Chen J, Qiu L, Zhuo S. Rapid label-free detection of early-stage lung adenocarcinoma and tumor boundary via multiphoton microscopy. Journal of Biophotonics 2023; 16:e202300172. [PMID: 37596245 DOI: 10.1002/jbio.202300172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/08/2023] [Accepted: 08/15/2023] [Indexed: 08/20/2023]
Abstract
Lung cancer is the most commonly diagnosed cancer and the leading cause of cancer-related deaths in China. Rapid and precise evaluation of tumor tissue during lung cancer surgery can reduce operative time and improve negative-margin assessment, thus increasing disease-free and overall survival rates. This study aimed to explore the potential of label-free multiphoton microscopy (MPM) for imaging adenocarcinoma tissues, detecting histopathological features, and distinguishing between normal and cancerous lung tissues. We showed that second harmonic generation (SHG) signals exhibit significant specificity for collagen fibers, enabling the quantification of collagen features in lung adenocarcinomas. In addition, we developed a collagen score that could be used to distinguish between normal and tumor areas at the tumor boundary, showing good classification performance. Our findings demonstrate that MPM imaging technology combined with an image-based collagen feature extraction method can rapidly and accurately detect early-stage lung adenocarcinoma tissues.
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Affiliation(s)
- Gangqin Xi
- School of Science, Jimei University, Xiamen, China
| | - Chen Huang
- Shengli Clinical College of Fujian Medical University, Department of Thoracic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Jie Lin
- Shengli Clinical College of Fujian Medical University, Department of Pathology, Fujian Provincial Hospital, Fuzhou, China
| | - Tianyi Luo
- School of Science, Jimei University, Xiamen, China
| | - Bingzi Kang
- School of Science, Jimei University, Xiamen, China
| | - Mingyu Xu
- School of Science, Jimei University, Xiamen, China
| | - Huizhen Xu
- School of Science, Jimei University, Xiamen, China
| | - Xiaolu Li
- School of Science, Jimei University, Xiamen, China
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of the Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China
| | - Lida Qiu
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China
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Zhang H, Yue J, Qiu L, Jiang H, Xia B, Zhang K, Zhang M, Zhou R, Yin Z. Up-Regulation of TCF21 Expression Reverses the Malignant Phenotype of Cancer-Associated Fibroblasts in Esophageal Squamous Cell Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e277. [PMID: 37785039 DOI: 10.1016/j.ijrobp.2023.06.1253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Cancer-associated fibroblasts (CAFs), as one major component of tumor microenvironment (TME), are closely associated with tumor initiation and progression. Our previous studies have discovered that CAFs induced the resistance of esophageal squamous cell carcinoma (ESCC) cells to a variety of chemotherapeutic drugs such as cisplatin and paclitaxel. Furthermore, CAFs attenuated ionizing irradiation (IR)-induced cancer cells death by regulating DNA damage response. CAFs themselves are highly resistant to death stimuli due to enhanced antioxidant potential and DNA repair capacity. How to inhibit the malignant phenotype of CAFs is critically important for the radical treatment of ESCC. MATERIALS/METHODS By RNA-sequencing and DNA methylation analysis, the transcriptome and epigenome of CAFs and matched normal fibroblasts (NFs) have been integratively analyzed. By transfection of TCF21 cDNA plasmid, the expression of TCF21 in CAFs has been up-regulated. Using a cell counting kit and migration and invasion assay, the effect of TCF21 on the growth and migration and invasive ability of CAFs has been detected. Using immunofluorescence and flow cytometry (FCM) analysis and western blotting, the effect of TCF21 on the DNA damage repair and apoptotic death of CAFs following IR has been detected. RESULTS TCF21 is one of the top ten down-regulated genes in CAFs compared with NFs due to promoter methylation. Up-regulation of TCF21 expression inhibited the growth rate and migration and invasive ability of CAFs. The expression of α-SMA, as an indicator of CAFs activation, was down-regulated in CAFs which were transfected with TCF21 cDNA. Furthermore, when TCF21 cDNA was transfected into CAFs, IR-induced DNA damage was increased while DNA repair was inhibited in CAFs, suggesting that TCF21 was involved in DNA damage response of CAFs following IR. FCM analysis showed that up-regulation of TCF21 expression promoted IR-induced apoptotic death of CAFs. CONCLUSION TCF21 is a determinant of the malignant phenotype of CAFs in ESCC. Up-regulation of TCF21 expression is a promising approach of inhibiting the growth, migration and invasion, activation and radioresistance of CAFs in ESCC.
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Affiliation(s)
- H Zhang
- Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J Yue
- Hangzhou Cancer Hospital, Hangzhou, China
| | - L Qiu
- Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - H Jiang
- Department of Radiation Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - B Xia
- Hangzhou Cancer Hospital, Hangzhou, China
| | - K Zhang
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - M Zhang
- Hangzhou Cancer Hospital, Hangzhou, China
| | - R Zhou
- Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Z Yin
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
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Zhang H, Yue J, Zhang K, Qiu L, Xia B, Zhang M, Yin Z, Ma S. Hyperthermia Enhances the Radiosensitivity of Pancreatic Cancer Cells by Inhibiting Wnt2B Signaling. Int J Radiat Oncol Biol Phys 2023; 117:e277. [PMID: 37785041 DOI: 10.1016/j.ijrobp.2023.06.1254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Pancreatic cancer (PC) is a highly lethal human malignance. Due to unobvious symptoms at early stage, most of the patients with PC are diagnosed at late stages and lose the chance of surgical resection. Furthermore, PC patients are resistant to chemoradiotherapy and therefore show a dismal survival. Hyperthermia is commonly used as a sensitizer of chemotherapy or radiotherapy for the clinical treatment of human cancers. Our study aimed to investigate whether hyperthermia can improve the radiosensitivity of PC cells and uncover the involved mechanisms. MATERIALS/METHODS PC cells BxPC3, CFPAC-1 and PANC1 were heated to 43 ℃ 1 h before exposure to ionizing irradiation (IR). The radiosensitivity of PC cells were detected in vitro by colony formation assay, immunofluence analysis and western blotting. The mechanisms studies have been conducted using qRT-PCR analysis, cDNA/siRNA transfection and comet assay. RESULTS Hyperthermia significantly enhanced the radiosensitivity of PC cells by decreasing their colony formation and increasing DNA damage following IR. By qRT-PCR analysis of Wnt genes expressions, we found Wnt2B was significantly down-regulated in PC-3 cells which were treated with the combination of hyperthermia and IR compared with hyperthermia or IR alone. Functional assays showed that the expression level of Wnt2B was inversely associated with the radiosensitivity of PC-3 cells. Furthermore, we found hyperthermia inhibited the expression of DNA repair proteins such as p-BRCA1 and p-MRE11 in PC cells following IR CONCLUSION: Hyperthermia can significantly enhance the radiosensitivity of PC cells in a Wnt2B signaling-dependent manner.
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Affiliation(s)
- H Zhang
- Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J Yue
- Hangzhou Cancer Hospital, Hangzhou, China
| | - K Zhang
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - L Qiu
- Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - B Xia
- Hangzhou Cancer Hospital, Hangzhou, China
| | - M Zhang
- Hangzhou Cancer Hospital, Hangzhou, China
| | - Z Yin
- The Fourth Clinical College of Zhejiang Chinese Medical University, Hangzhou City, China
| | - S Ma
- Medical Oncology, Xiaoshan Hospital Affiliated to Hangzhou Normal University, Hangzhou, China
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Qiu L, Chen Y, Williams TM, Amini A, Sampath S, Glaser SM, Chen YJ, Liu L, Leung D, Liu A, McGee HM. Evaluation of 68Ga-Fibroblast Activation Protein Inhibitor vs. 18F-FDG as a Novel Radiotracer for Biologically Guided Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e251. [PMID: 37784976 DOI: 10.1016/j.ijrobp.2023.06.1193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Real-time biology guided radiation therapy (BgRT) uses real-time positron emissions from a PET tracer during treatment to guide targeted radiation to cancerous lesions. Fibroblast activation protein alpha (FAP) is highly expressed on cancer-associated fibroblasts in tumors with low expression in normal tissues. While 18F-FDG-PET requires fasting and has background in the liver and brain, 68-Gallium labeled FAP inhibitor (FAPI) does not require fasting and has less background uptake. The goal of this study was to investigate the utility of FAPI as a potential universal fiducial for BgRT. We hypothesized that 68Ga-FAPI would be a better radiotracer than 18F-FDG, as assessed by the Normalized Minimal kBq/mL and the Normal Target Signal (NTS), two parameters used to gauge the suitability of BgRT. MATERIALS/METHODS PET-CTs were obtained for 50 patients with pancreatic, liver, lung, head & neck, and cervical cancer using 18F-FDG and 68Ga-FAPI (n = 10 for each). Four DICOM images were obtained per patient (FDG PET + CT, FAPI PET + CT). Radiation oncologists delineated the gross tumor volume (GTV) on PET images. A separate set of auto-contours were generated from the PET using an auto-threshold of 40% maximum SUV for all tumors. A 1 cm expansion was added to the GTV to create a ring around the physician-generated contours and auto-contours. The following parameters were measured: GTV volume, SUV max of GTV, SUV mean of GTV, Normalized Minimal kBq/mL within the GTV, and NTS (= SUV max/Ring SUV mean). Values were compared using paired t-test. For the BgRT product with similar calculations, the required Normalized Minimal kBq/mL is > 5 kBq/mL; the required NTS is > 2.7 for treatment planning and > 2.0 for BgRT delivery. RESULTS The Normalized Minimal kBq/mL for FAPI was > 5 kBq/mL for all tumors and greater for auto-contoured GTVs compared to physician-contoured GTVs. The mean NTS for the auto-contours for all tumor sites was > 2.0. In addition, there was a statistically significant increase in the NTS for FAPI compared to FDG in pancreatic, liver and head & neck cancers. In pancreatic cancer, there was a statistically significant increase in Normalized Minimal kBq/mL for FAPI compared to FDG (26.0 vs 14.2) (p = 0.01) and the SUVmax of FAPI was almost double that of FDG (15.9 vs 8.2) (p = 0.01). FAPI had no background in the liver, but had high background in the uterus, suggesting it may have a role in liver cancer but not cervical cancer. CONCLUSION This is the first study demonstrating the potential superiority of 68Ga-FAPI compared to 18F-FDG as a biologic fiducial for BgRT when treating pancreatic, liver and head & neck cancers, with a similar efficacy for lung cancer. Our results indicate that auto-contoured GTVs generate a higher NTS than physician-contoured GTVs but all are > 2.0. In addition, the Normalized Minimal kBq/mL for auto-contours is > 5 kBq/mL for all tumors. As hypothesized, FAPI-based BgRT is most likely to be successful when treating tumors with significant desmoplastic stroma, such as pancreatic cancer.
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Affiliation(s)
- L Qiu
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Y Chen
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - T M Williams
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - A Amini
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - S Sampath
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - S M Glaser
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - Y J Chen
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - L Liu
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - D Leung
- RefleXion Medical, Inc., Hayward, CA
| | - A Liu
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - H M McGee
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
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Huang X, Lian YE, Qiu L, Yu X, Miao J, Zhang S, Zhang Z, Zhang X, Chen J, Bai Y, Li L. Quantitative Assessment of Hepatic Steatosis Using Label-Free Multiphoton Imaging and Customized Image Processing Program. J Transl Med 2023; 103:100223. [PMID: 37517702 DOI: 10.1016/j.labinv.2023.100223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 07/17/2023] [Accepted: 07/24/2023] [Indexed: 08/01/2023] Open
Abstract
Nonalcoholic fatty liver disease is rapidly becoming one of the most common causes of chronic liver disease worldwide and is the leading cause of liver-related morbidity and mortality. A quantitative assessment of the degree of steatosis would be more advantageous for diagnostic evaluation and exploring the patterns of disease progression. Here, multiphoton microscopy, based on the second harmonic generation and 2-photon excited fluorescence, was used to label-free image the samples of nonalcoholic fatty liver. Imaging results confirm that multiphoton microscopy is capable of directly visualizing important pathologic features such as normal hepatocytes, hepatic steatosis, Mallory bodies, necrosis, inflammation, collagen deposition, microvessel, and so on and is a reliable auxiliary tool for the diagnosis of nonalcoholic fatty liver disease. Furthermore, we developed an image segmentation algorithm to simultaneously assess hepatic steatosis and fibrotic changes, and quantitative results reveal that there is a correlation between the degree of steatosis and collagen content. We also developed a feature extraction program to precisely display the spatial distribution of hepatocyte steatosis in tissues. These studies may be beneficial for a better clinical understanding of the process of steatosis as well as for exploring possible therapeutic targets.
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Affiliation(s)
- Xingxin Huang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Yuan-E Lian
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Lida Qiu
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China
| | - XunBin Yu
- Department of Pathology, Fujian Provincial Hospital, Fuzhou, China
| | - Jikui Miao
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Shichao Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Zheng Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Xiong Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Yannan Bai
- Department of Hepatobiliary and Pancreatic Surgery, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China.
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10
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Huang X, Lian YE, Qiu L, Yu X, Zhan Z, Zhang Z, Zhang X, Lin H, Xu S, Chen J, Bai Y, Li L. Detection of fibrotic changes in the progression of liver diseases by label-free multiphoton imaging. J Biophotonics 2023; 16:e202300153. [PMID: 37403400 DOI: 10.1002/jbio.202300153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/02/2023] [Accepted: 06/28/2023] [Indexed: 07/06/2023]
Abstract
Collagen fibers play an important role in the progression of liver diseases. The formation and progression of liver fibrosis is a dynamic pathological process accompanied by morphological changes in collagen fibers. In this study, we used multiphoton microscopy for label-free imaging of liver tissues, allowing direct detection of various components including collagen fibers, tumors, blood vessels, and lymphocytes. Then, we developed a deep learning classification model to automatically identify tumor regions, and the accuracy reaches 0.998. We introduced an automated image processing method to extract eight collagen morphological features from various stages of liver diseases. Statistical analysis showed significant differences between them, indicating the potential use of these quantitative features for monitoring fibrotic changes during the progression of liver diseases. Therefore, multiphoton imaging combined with automatic image processing method would hold a promising future in rapid and label-free diagnosis of liver diseases.
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Affiliation(s)
- Xingxin Huang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Yuan-E Lian
- Department of Pathology, The Affiliated Union Hospital of Fujian Medical University, Fuzhou, China
| | - Lida Qiu
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China
| | - XunBin Yu
- Department of Pathology, Fujian Provincial Hospital, Fuzhou, China
| | - Zhenlin Zhan
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Zheng Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Xiong Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Hongxin Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Shuoyu Xu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Yannan Bai
- Shengli Clinical Medical College of Fujian Medical University, Department of Hepatobiliary and Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, China
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
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11
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Chen J, Li Z, Han Z, Kang D, Ma J, Yi Y, Fu F, Guo W, Zheng L, Xi G, He J, Qiu L, Li L, Zhang Q, Wang C, Chen J. Prognostic value of tumor necrosis based on the evaluation of frequency in invasive breast cancer. BMC Cancer 2023; 23:530. [PMID: 37296414 DOI: 10.1186/s12885-023-10943-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/10/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Tumor necrosis (TN) was associated with poor prognosis. However, the traditional classification of TN ignored spatial intratumor heterogeneity, which may be associated with important prognosis. The purpose of this study was to propose a new method to reveal the hidden prognostic value of spatial heterogeneity of TN in invasive breast cancer (IBC). METHODS Multiphoton microscopy (MPM) was used to obtain multiphoton images from 471 patients. According to the relative spatial positions of TN, tumor cells, collagen fibers and myoepithelium, four spatial heterogeneities of TN (TN1-4) were defined. Based on the frequency of individual TN, TN-score was obtained to investigate the prognostic value of TN. RESULTS Patients with high-risk TN had worse 5-year disease-free survival (DFS) than patients with no necrosis (32.5% vs. 64.7%; P < 0.0001 in training set; 45.8% vs. 70.8%; P = 0.017 in validation set), while patients with low-risk TN had a 5-year DFS comparable to patients with no necrosis (60.0% vs. 64.7%; P = 0.497 in training set; 59.8% vs. 70.8%; P = 0.121 in validation set). Furthermore, high-risk TN "up-staged" the patients with IBC. Patients with high-risk TN and stage I tumors had a 5-year DFS comparable to patients with stage II tumors (55.6% vs. 62.0%; P = 0.565 in training set; 62.5% vs. 66.3%; P = 0.856 in validation set), as well as patients with high-risk TN and stage II tumors had a 5-year DFS comparable to patients with stage III tumors (33.3% vs. 24.6%; P = 0.271 in training set; 44.4% vs. 39.3%; P = 0.519 in validation set). CONCLUSIONS TN-score was an independent prognostic factor for 5-year DFS. Only high-risk TN was associated with poor prognosis. High-risk TN "up-staged" the patients with IBC. Incorporating TN-score into staging category could improve its performance to stratify patients.
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Affiliation(s)
- Jianhua Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350117, China
- College of Life Science, Fujian Normal University, Fuzhou, 350117, China
| | - Zhijun Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350117, China
| | - Zhonghua Han
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Jianli Ma
- Department of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Yu Yi
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350117, China
| | - Fangmeng Fu
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Wenhui Guo
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350117, China
| | - Gangqin Xi
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350117, China
| | - Jiajia He
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350117, China
| | - Lida Qiu
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350117, China
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, 350108, China
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350117, China
| | - Qingyuan Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Chuan Wang
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350117, China.
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12
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Sahu R, Qiu L, Hease W, Arnold G, Minoguchi Y, Rabl P, Fink JM. Entangling microwaves with light. Science 2023; 380:718-721. [PMID: 37200415 DOI: 10.1126/science.adg3812] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 04/19/2023] [Indexed: 05/20/2023]
Abstract
Quantum entanglement is a key resource in currently developed quantum technologies. Sharing this fragile property between superconducting microwave circuits and optical or atomic systems would enable new functionalities, but this has been hindered by an energy scale mismatch of >104 and the resulting mutually imposed loss and noise. In this work, we created and verified entanglement between microwave and optical fields in a millikelvin environment. Using an optically pulsed superconducting electro-optical device, we show entanglement between propagating microwave and optical fields in the continuous variable domain. This achievement not only paves the way for entanglement between superconducting circuits and telecom wavelength light, but also has wide-ranging implications for hybrid quantum networks in the context of modularization, scaling, sensing, and cross-platform verification.
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Affiliation(s)
- R Sahu
- Institute of Science and Technology Austria, am Campus 1, 3400 Klosterneuburg, Austria
| | - L Qiu
- Institute of Science and Technology Austria, am Campus 1, 3400 Klosterneuburg, Austria
| | - W Hease
- Institute of Science and Technology Austria, am Campus 1, 3400 Klosterneuburg, Austria
| | - G Arnold
- Institute of Science and Technology Austria, am Campus 1, 3400 Klosterneuburg, Austria
| | - Y Minoguchi
- Vienna Center for Quantum Science and Technology, Atominstitut, TU Wien, 1040 Vienna, Austria
| | - P Rabl
- Vienna Center for Quantum Science and Technology, Atominstitut, TU Wien, 1040 Vienna, Austria
- Walther-Meißner-Institut, Bayerische Akademie der Wissenschaften, 85748 Garching, Germany
- Technische Universität München, TUM School of Natural Sciences, 85748 Garching, Germany
- Munich Center for Quantum Science and Technology (MCQST), 80799 Munich, Germany
| | - J M Fink
- Institute of Science and Technology Austria, am Campus 1, 3400 Klosterneuburg, Austria
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13
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Wang HY, Qiu L, Ou CY, Lin ZQ, Huang ZD, Chen P, Ma Q, Lu YR, Ran H, Liu WB. An observational study on the safety of COVID-19 vaccination in patients with myasthenia gravis. Neurol Sci 2023:10.1007/s10072-023-06811-y. [PMID: 37160544 PMCID: PMC10166684 DOI: 10.1007/s10072-023-06811-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/10/2023] [Indexed: 05/11/2023]
Abstract
OBJECTIVE There is concern that the coronavirus disease (COVID-19) vaccine may trigger or worsen autoimmune diseases. The objective of this study was to determine the impacts of COVID-19 vaccination on symptom severity in patients with myasthenia gravis (MG). METHODS A total of 106 enrolled patients with MG who were vaccinated against COVID-19 were followed up, and a questionnaire was used to document in detail the exacerbation of muscle weakness after vaccination and all other uncomfortable reactions after vaccination. Demographic, clinical characteristics, medication, and vaccination data were collected by follow-up interview. The main observation outcome was whether the MG symptoms of patients were exacerbated. The definition of exacerbation is according to the subjective feeling of the patient or a 2-point increase in daily life myasthenia gravis activity score relative to before vaccination, within 30 days after vaccination. RESULTS Of 106 enrolled patients [median age (SD) 41.0 years, 38 (35.8%) men, 53 (50.0%) with generalized MG, 74 (69.8%) positive for acetylcholine receptor antibody, and 21 (19.8%) with accompanying thymoma], muscle weakness symptoms were stable in 102 (96.2%) patients before vaccine inoculation. Muscle weakness worsened in 10 (9.4%) people after vaccination, of which 8 patients reported slight symptom worsening that resolved quickly (within a few days). Two (1.9%) of patients showed serious symptom aggravation that required hospitalization. CONCLUSION Our results suggest that inactivated virus vaccines against COVID-19 may be safe for patients with MG whose condition is stable. Patients with generalized MG may be more likely to develop increased muscle weakness after vaccination.
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Affiliation(s)
- H Y Wang
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - L Qiu
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - C Y Ou
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - Z Q Lin
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - Z D Huang
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - P Chen
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - Q Ma
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - Y R Lu
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - H Ran
- School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China
| | - W B Liu
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
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Modi P, Qiu L, Fallah T, Courtwright A, Halpern C. Magnetic Resonance-Guided Focused Ultrasound Thalamotomy for Treatment of Severe Essential Tremor in a Lung Transplant Recipient. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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15
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He J, Kang D, Xu M, Han Z, Guo W, Fu F, Qiu L, Zheng L, Xi G, Wang W, Ren W, Han X, Tu H, Li L, Wang C, Chen J. Combining the guidelines and multiphoton imaging methods to improve the prognostic value of tumor-infiltrating lymphocytes in breast cancer. J Biophotonics 2023:e202300060. [PMID: 36965036 DOI: 10.1002/jbio.202300060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/14/2023] [Accepted: 03/23/2023] [Indexed: 06/18/2023]
Abstract
Multiphoton microscopy (MPM) was introduced to label-freely obtain tumor-infiltrating lymphocytes (TILs) images from a total of 611 patients, and the prognostic value of TILs in breast cancer was assessed by the MPM method (TILs-MPM) and guidelines method proposed by the International Immuno-Oncology Biomarker Working Group (TILs-WG), respectively. Moreover, the clinical (CLI) model, TILs-WG + TILs-MPM model, and full model (CLI + TILs-WG + TILs-MPM) were developed to investigate the prognostic value of TILs. The results show that TILs-WG performs better in estrogen receptor (ER)-negative subgroup, and TILs-MPM is comparable with TILs-WG in the ER-negative subgroup, but has the best performance in the ER-positive subgroup. Furthermore, the TILs-WG + TILs-MPM model can significantly improve the prognostic power compared with the TILs-WG model, and the full model has excellent performance, with high area under the curve (AUC) and hazard ratio (HR) in both ER-positive, ER-negative subgroups, and the complete cohort. Our results suggest that the combination of TILs-WG with TILs-MPM model can greatly improve the prognostic value of TILs.
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Affiliation(s)
- Jiajia He
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Meifang Xu
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Zhonghua Han
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Wenhui Guo
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Fangmeng Fu
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Lida Qiu
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, 350108, China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Gangqin Xi
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Wei Wang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Wenjiao Ren
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Xiahui Han
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Haohua Tu
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Chuan Wang
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
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Li B, Zhou CX, Pu YQ, Qiu L, Mei W, Xiong W. [Expression of CD24 gene in human malignant pleural mesothelioma and its relationship with prognosis]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:168-176. [PMID: 37006141 DOI: 10.3760/cma.j.cn121094-20220228-00100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Abstract
Objective: To investigate the expression of CD24 gene in human malignant pleural mesothelioma (MPM) cells and tissues, and evaluate its relationship with clinicopathological characteristics and clinical prognosis of MPM patients. Methods: In February 2021, UALCAN database was used to analyze the correlation between CD24 gene expression and clinicopathological characteristics in 87 cases of MPM patients. The TIMER 2.0 platform was used to explore the relationship between the expression of CD24 in MPM and tumor immune infiltrating cells. cBioportal online tool was used to analyze the correlation between CD24 and MPM tumor marker gene expression. RT-qPCR was used to analyze the expressions of CD24 gene in human normal pleural mesothelial cell lines LP9 and MPM cell lines NCI-H28 (epithelial type), NCI-H2052 (sarcoma type), and NCI-H2452 (biphasic mixed type). RT-qPCR was performed to detect the expressions of CD24 gene in 18 cases of MPM tissues and matched normal pleural tissues. The expression difference of CD24 protein in normal mesothelial tissue and MPM tissue was analyzed by immunohistochemistry. A Kaplan-Meier model was constructed to explore the influence of CD24 gene expression on the prognosis of MPM patients, and Cox regression analysis of prognostic factors in MPM patients was performed. Results: The CD24 gene expression without TP53 mutation MPM patients was significantly higher than that of patients in TP53 mutation (P<0.05). The expression of CD24 gene in MPM was positively correlated with B cells (r(s)=0.37, P<0.001). The expression of CD24 gene had a positive correlation with the expressions of thrombospondin 2 (THBS2) (r(s)=0.26, P<0.05), and had a negative correlation with the expression of epidermal growth factor containing fibulin like extracellular matrix protein 1 (EFEMP1), mesothelin (MSLN) and calbindin 2 (CALB2) (r(s)=-0.31, -0.52, -0.43, P<0.05). RT-qPCR showed that the expression level of CD24 gene in MPM cells (NCI-H28, NCI-H2052 and NCI-H2452) was significantly higher than that in normal pleural mesothelial LP9 cells. The expression level of CD24 gene in MPM tissues was significantly higher than that in matched normal pleural tissues (P<0.05). Immunohistochemistry showed that the expressions of CD24 protein in epithelial and sarcoma MPM tissues were higher than those of matched normal pleural tissues. Compared with low expression of CD24 gene, MPM patients with high expression of CD24 gene had lower overall survival (HR=2.100, 95%CI: 1.336-3.424, P<0.05) and disease-free survival (HR=1.800, 95%CI: 1.026-2.625, P<0.05). Cox multivariate analysis showed that compared with the biphasic mixed type, the epithelial type was a protective factor for the prognosis of MPM patients (HR=0.321, 95%CI: 0.172-0.623, P<0.001). Compared with low expression of CD24 gene, high expression of CD24 gene was an independent risk factor for the prognosis of MPM patients (HR=2.412, 95%CI: 1.291-4.492, P=0.006) . Conclusion: CD24 gene and protein are highly expressed in MPM tissues, and the high expression of CD24 gene suggests poor prognosis in MPM patients.
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Affiliation(s)
- B Li
- College of Basic Medical Sciences, Dali University, Dali 671000, China Key Laboratory of Clinical Biochemical Testing in Yunnan Province Universities, Dali 671000, China
| | - C X Zhou
- College of Basic Medical Sciences, Dali University, Dali 671000, China Key Laboratory of Clinical Biochemical Testing in Yunnan Province Universities, Dali 671000, China
| | - Y Q Pu
- College of Basic Medical Sciences, Dali University, Dali 671000, China Key Laboratory of Clinical Biochemical Testing in Yunnan Province Universities, Dali 671000, China
| | - L Qiu
- College of Chemistry and Life Sciences, Chuxiong Normal University, Chuxiong 675000, China
| | - W Mei
- Department of Pathology, Chuxiong Yi Autonomous Prefecture First People's Hospital, Chuxiong 675000, China
| | - W Xiong
- College of Basic Medical Sciences, Dali University, Dali 671000, China Key Laboratory of Clinical Biochemical Testing in Yunnan Province Universities, Dali 671000, China
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Wang CX, Qiu L, Wu XS, Zhang HX, Xu ZB. [A case of pulmonary aspergillus infection in underground coal mine workers]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:228-230. [PMID: 37006152 DOI: 10.3760/cma.j.cn121094-20220119-00032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Abstract
The underground environment is dark and humid, and it is easy to breed pathogenic microorganisms. A lump in the right lung of a coal mine underground transport worker was found druing occupational health examination. CT examination showed that the lump was located in the posterior segment of the upper lobe of the right lung, with point strip calcification, liquefaction necrosis, and proximal bronchial stenosis and occlusion. MRI examination FS-T(2)WI and DWI showed "target sign", annular low signal around the central high signal, and low mixed signal around the periphery, and annular high signal in the isosignal lesions on T(1)WI. Then the pulmonary aspergillus infection was confirmed by pathology.
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Affiliation(s)
- C X Wang
- Radiology Department, Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - L Qiu
- Radiology Department, Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - X S Wu
- Thoracic Surgery, Zibo Central Hospital, Zibo 255000, China
| | - H X Zhang
- Clinical Laboratory, Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - Z B Xu
- Radiology Department, Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
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18
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Tam CS, Kapoor P, Castillo JJ, Buske C, Ansell SM, Branagan AR, Kimby E, Li Y, Palomba ML, Qiu L, Shadman M, Abeykoon JP, Sarosiek S, Vos J, Yi S, Stephens D, Roos-Weil D, Roccaro AM, Morel P, Munshi NC, Anderson KC, San-Miguel J, Garcia-Sanz R, Dimopoulos MA, Treon SP, Kersten MJ. Report of consensus panel 7 from the 11th international workshop on Waldenström macroglobulinemia on priorities for novel clinical trials. Semin Hematol 2023; 60:118-124. [PMID: 37099031 DOI: 10.1053/j.seminhematol.2023.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 04/27/2023]
Abstract
Recent advances in the understanding of Waldenström macroglobulinemia (WM) biology have impacted the development of effective novel agents and improved our knowledge of how the genomic background of WM may influence selection of therapy. Consensus Panel 7 (CP7) of the 11th International Workshop on WM was convened to examine the current generation of completed and ongoing clinical trials involving novel agents, consider updated data on WM genomics, and make recommendations on the design and prioritization of future clinical trials. CP7 considers limited duration and novel-novel agent combinations to be the priority for the next generation of clinical trials. Evaluation of MYD88, CXCR4 and TP53 at baseline in the context of clinical trials is crucial. The common chemoimmunotherapy backbones, bendamustine-rituximab (BR) and dexamethasone, rituximab and cyclophosphamide (DRC), may be considered standard-of-care for the frontline comparative studies. Key unanswered questions include the definition of frailty in WM; the importance of attaining a very good partial response or better (≥VGPR), within stipulated time frame, in determining survival outcomes; and the optimal treatment of WM populations with special needs.
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Affiliation(s)
- C S Tam
- Alfred Health, Monash University, Melbourne, Victoria, Australia.
| | | | - J J Castillo
- Harvard Medical School, Dana Farber Cancer Institute, Boston. MA
| | - C Buske
- Institute of Experimental Cancer Research, University Hospital Ulm, Ulm, Germany
| | | | | | - E Kimby
- Karolinska Institut, Stockholm, Sweden
| | - Y Li
- Baylor College of Medicine, Houston, TX
| | - M L Palomba
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - L Qiu
- National National Clinical Medical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - M Shadman
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA
| | | | - S Sarosiek
- Harvard Medical School, Dana Farber Cancer Institute, Boston. MA
| | - Jmi Vos
- Department of Hematology, Cancer Center Amsterdam/LYMMCARE, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - S Yi
- National National Clinical Medical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - D Stephens
- University of Utah Huntsman Cancer Institute, Salt Lake City, UT
| | - D Roos-Weil
- Sorbonne University, Hematology Unit, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | | | - P Morel
- Hematologie Clinique et Therapie Cellulaire, University Hospital Amiens Picardie, University of Picardie Jules Verne, France
| | - N C Munshi
- Institute of Experimental Cancer Research, University Hospital Ulm, Ulm, Germany
| | - K C Anderson
- Institute of Experimental Cancer Research, University Hospital Ulm, Ulm, Germany
| | - J San-Miguel
- Clinica Universidad de Navarra, CCUN, CIMA, IDISNA, CIBERONC, Navarra, Spain
| | - R Garcia-Sanz
- Hematology Department, University Hospital of Salamanca, Research Biomedical Institute of Salamanca, CIBERONC and Center for Cancer Research-IBMCC (University of Salamanca-CSIC), Salamanca, Spain
| | - M A Dimopoulos
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - S P Treon
- Institute of Experimental Cancer Research, University Hospital Ulm, Ulm, Germany
| | - M J Kersten
- Tianjin Institutes of Health Science, Tianjin 301600, China
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19
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He J, Kang D, Shen T, Zheng L, Zhan Z, Xi G, Ren W, Chen Z, Qiu L, Xu S, Li L, Chen J. Label-free detection of invasive micropapillary carcinoma of the breast using multiphoton microscopy. J Biophotonics 2023; 16:e202200224. [PMID: 36251459 DOI: 10.1002/jbio.202200224] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/15/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Invasive micropapillary carcinoma of the breast (IMPC) is a rare form of breast cancer with unique histological features, and is associated with high axillary lymph node metastasis and poor clinical prognosis. Thus, IMPC should be diagnosed in time to improve the treatment and management of patients. In this study, multiphoton microscopy (MPM) is used to label-free visualize the morphological features of IMPC. Our results demonstrate that MPM images are well in agreement with hematoxylin and eosin staining and epithelial membrane antigen staining, indicating MPM is comparable to traditional histological analysis in identifying the tissue structure and cell morphology. Statistical analysis shows significant differences in the circumference and area of the glandular lumen and cancer nest between the different IMPC cell clusters with complete glandular lumen morphology, and also shows difference in collagen length, width, and orientation, indicating the invasive ability of different morphologies of IMPC may be different.
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Affiliation(s)
- Jiajia He
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Tingfeng Shen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Zhenlin Zhan
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Gangqin Xi
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Wenjiao Ren
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Zhong Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Lida Qiu
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China
| | - Shuoyu Xu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
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20
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D'Sa S, Matous JV, Advani R, Buske C, Castillo JJ, Gatt M, Kapoor P, Kersten MJ, Leblond V, Leiba M, Palomba ML, Paludo J, Qiu L, Sarosiek S, Shadman M, Talaulikar D, Tam CS, Tedeschi A, Thomas SK, Tohidi-Esfahani I, Trotman J, Varettoni M, Vos J, Garcia-Sanz R, San-Miguel J, Dimopoulos MA, Treon SP, Kastritis E. Report of consensus panel 2 from the 11th international workshop on Waldenström's macroglobulinemia on the management of relapsed or refractory WM patients. Semin Hematol 2023; 60:80-89. [PMID: 37147252 DOI: 10.1053/j.seminhematol.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 03/09/2023] [Indexed: 03/29/2023]
Abstract
The consensus panel 2 (CP2) of the 11th International Workshop on Waldenström's macroglobulinemia (IWWM-11) has reviewed and incorporated current data to update the recommendations for treatment approaches in patients with relapsed or refractory WM (RRWM). The key recommendations from IWWM-11 CP2 include: (1) Chemoimmunotherapy (CIT) and/or a covalent Bruton tyrosine kinase (cBTKi) strategies are important options; their use should reflect the prior upfront strategy and are subject to their availability. (2) In selecting treatment, biological age, co-morbidities and fitness are important; nature of relapse, disease phenotype and WM-related complications, patient preferences and hematopoietic reserve are also critical factors while the composition of the BM disease and mutational status (MYD88, CXCR4, TP53) should also be noted. (3) The trigger for initiating treatment in RRWM should utilize knowledge of patients' prior disease characteristics to avoid unnecessary delays. (4) Risk factors for cBTKi related toxicities (cardiovascular dysfunction, bleeding risk and concurrent medication) should be addressed when choosing cBTKi. Mutational status (MYD88, CXCR4) may influence the cBTKi efficacy, and the role of TP53 disruptions requires further study) in the event of cBTKi failure dose intensity could be up titrated subject to toxicities. Options after BTKi failure include CIT with a non-cross-reactive regimen to one previously used CIT, addition of anti-CD20 antibody to BTKi, switching to a newer cBTKi or non-covalent BTKi, proteasome inhibitors, BCL-2 inhibitors, and new anti-CD20 combinations are additional options. Clinical trial participation should be encouraged for all patients with RRWM.
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Affiliation(s)
- S D'Sa
- UCLH Centre for Waldenström Macroglobulinaemia and Related Conditions, University College London Hospitals NHS Foundation Trust, London, UK.
| | - J V Matous
- Colorado Blood Cancer Institute, Sarah Cannon Research Institute, Denver, CO
| | - R Advani
- Stanford University Medical Center, Stanford, CA
| | - C Buske
- University Hospital Ulm, Ulm, Germany
| | - J J Castillo
- Dana Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - M Gatt
- Hadassah University Medical Center, Jerusalem, Israel
| | | | - M J Kersten
- Amsterdam UMC, University of Amsterdam, Department of Hematology, Cancer Center Amsterdam/LYMMCARE, Amsterdam, Netherlands
| | - V Leblond
- Groupe Hospitalier Pitié-Salpêtrière, Sorbonne University, Paris, France
| | - M Leiba
- Assuta Ashdod University Hospital; Faculty of Health Science, Ben-Gurion University of the Negev, Negev, Israel Memorial Sloan Kettering Cancer Center, New York, NY
| | - M L Palomba
- Memorial Sloan Kettering Cancer Center, New York NY US
| | | | - L Qiu
- National Clinical Medical Research Center for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - S Sarosiek
- Dana Farber Cancer Institute, Harvard Medical School, Boston, MA
| | | | - D Talaulikar
- ANU College of Health and Medicine, Canberra, Australia
| | - C S Tam
- Alfred Health, Monash University, Melbourne, Australia
| | - A Tedeschi
- A. O. Ospedale Niguarda Ca' Granda, Milan, Italy
| | - S K Thomas
- University of Texas, MD Anderson Cancer Center, Houston TX USA
| | - I Tohidi-Esfahani
- Concord Repatriation General Hospital, University of Sydney, Sydney, Australia
| | - J Trotman
- Concord Repatriation General Hospital, University of Sydney, Sydney, Australia
| | - M Varettoni
- Division of Hematology, Fondazione iRCCS Policlinico, San Matteo, Italy
| | - Jmi Vos
- Amsterdam UMC, University of Amsterdam, Department of Hematology, Cancer Center Amsterdam/LYMMCARE, Amsterdam, Netherlands
| | - R Garcia-Sanz
- Hematology Department, University Hospital of Salamanca, Research Biomedical Institute of Salamanca, CIBERONC and Center for Cancer Research-IBMCC (University of Salamanca-CSIC), Salamanca, Spain
| | - J San-Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Instituto de Investigación Sanitaria de Navarra, Centro de Investigación Biomédica en Red Cáncer, Pamplona, Spain
| | - M A Dimopoulos
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - S P Treon
- Dana Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - E Kastritis
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
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21
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Qiu L, Zhang XY, Li YF, Zhou XG, Han XY, Ji LN. Morbidity and risk factors for multiple noncommunicable diseases in Northern China: a cross-sectional survey. Eur Rev Med Pharmacol Sci 2023; 27:1614-1624. [PMID: 36876695 DOI: 10.26355/eurrev_202302_31406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
OBJECTIVE This study aimed to determine the morbidity and comorbidity of glucolipid metabolic multiple noncommunicable diseases in a Chinese natural population and associated risk factors. SUBJECTS AND METHODS A cross-sectional survey with randomized sampling was conducted on a typical sample of 4,002 residents (aged 26-76 years) in the Pinggu District of Beijing. They were subjected to a questionnaire survey, physical examination, and laboratory examination to collect data. Multivariable analysis was used to establish the association between various risk factors and multiple noncommunicable diseases. RESULTS The overall prevalence rate of chronic glucolipid metabolic noncommunicable diseases was 84.28%. The most common type of noncommunicable diseases was dyslipidemia, abdominal obesity, hypertension, obesity, and type 2 diabetes. The prevalence rate of multiple noncommunicable diseases was 79.60%. Participants with dyslipidemia were at higher risk for underlying chronic diseases. Younger men and women after menopause were more likely to have multiple noncommunicable diseases compared to their older and younger counterparts, respectively. The results of multivariate logistic regression indicated that age above 50, male sex, high household income, low education level, and harmful alcohol consumption were independent risk factors for multiple noncommunicable diseases. CONCLUSIONS The prevalence of chronic glucolipid metabolic noncommunicable diseases in Pinggu was higher than at the national level. Men with multiple noncommunicable diseases were younger, while women after menopause were more likely to suffer from multiple noncommunicable diseases and the prevalence rate was higher than in men. Intervention programs that aim to target risk factors by sex and region-specific are urgently needed.
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Affiliation(s)
- L Qiu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Centre, Beijing, China.
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22
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Rahimichatri A, Liu J, Jahani F, Qiu L, Chiechi RC, Hummelen JC, Koster LJA. A method for identifying the cause of inefficient salt-doping in organic semiconductors. J Mater Chem C Mater 2022; 10:13093-13098. [PMID: 36324637 PMCID: PMC9494613 DOI: 10.1039/d1tc06062g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 08/03/2022] [Indexed: 06/16/2023]
Abstract
Doping to enhance the electrical conductivity of organic semiconductors is not without its challenges: The efficacy of this process depends on many factors and it is not always clear how to remedy poor doping. In the case of doping with salts, one of the possible causes of poor doping is a limited yield of integer charge transfer resulting in the presence of both cations and anions in the film. The charge of such ions can severely limit the electrical conductivity, but their presence is not easily determined. Here we introduce a set of simple conductivity measurements to determine whether poor doping in the case where the dopant is a salt is due to limited integer charge transfer. By tracking how the conductivity changes over time when applying a bias voltage for an extended amount of time we can pinpoint whether unwanted ions are present in the film. Firstly, we introduce the principle of this approach by performing numerical simulations that include the movement of ions. We show that the conductivity can increase or decrease depending on the type of ions present in the film. Next, we show that the movement of these dopant ions causes a build-up of space-charge, which makes the current-voltage characteristic non-linear. Next, we illustrate how this approach may be used in practice by doping a fullerene derivative with a series of organic salts. We thus provide a tool to make the optimization of doping more rational.
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Affiliation(s)
- A Rahimichatri
- Zernike institute for Advanced Materials, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
| | - J Liu
- Zernike institute for Advanced Materials, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
| | - F Jahani
- Zernike institute for Advanced Materials, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
- Stratingh Institute for Chemistry, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
| | - L Qiu
- Zernike institute for Advanced Materials, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
- Stratingh Institute for Chemistry, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
| | - R C Chiechi
- Zernike institute for Advanced Materials, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
- Stratingh Institute for Chemistry, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
| | - J C Hummelen
- Zernike institute for Advanced Materials, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
- Stratingh Institute for Chemistry, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
| | - L J A Koster
- Zernike institute for Advanced Materials, University of Groningen, Nijenborgh 4 9747 AG Groningen The Netherlands
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23
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Han H, Swaisgood RR, Qiu L, Chen Y, Zhang Z. Down‐listing pandas and upgrading conservation: China setting an example to preserve wildlife worldwide. Anim Conserv 2022. [DOI: 10.1111/acv.12803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- H. Han
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education) China West Normal University Nanchong China
- Liziping Giant Panda's Ecology and Conservation Observation and Research Station of Sichuan Province Science and Technology Department of Sichuan Province Chengdu China
| | - R. R. Swaisgood
- Institute for Conservation Research San Diego Zoo Global Escondido Escondido CA USA
| | - L. Qiu
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education) China West Normal University Nanchong China
- Liziping Giant Panda's Ecology and Conservation Observation and Research Station of Sichuan Province Science and Technology Department of Sichuan Province Chengdu China
| | - Y. Chen
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education) China West Normal University Nanchong China
- Liziping Giant Panda's Ecology and Conservation Observation and Research Station of Sichuan Province Science and Technology Department of Sichuan Province Chengdu China
| | - Z. Zhang
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education) China West Normal University Nanchong China
- Liziping Giant Panda's Ecology and Conservation Observation and Research Station of Sichuan Province Science and Technology Department of Sichuan Province Chengdu China
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Yang WH, Lu YR, Qiu L, Ou CY, Lin ZZ, Huang ZD, Liu WB. [Analysis of clinical characteristics and related genetic variation of juvenile myasthenia gravis]. Zhonghua Yi Xue Za Zhi 2022; 102:1445-1449. [PMID: 35599409 DOI: 10.3760/cma.j.cn112137-20210904-02019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To analyze the clinical characteristics and related genetic variation of juvenile myasthenia gravis (MG) patients. Methods: We collected the clinical data of adolescent MG patients who were treated in the Department of Neurology of the First Affiliated Hospital of Sun Yat-sen University from June 2019 to May 2020. After obtaining the patient's informed consent, the blood samples were collected. The Whole Exome Sequencing (WES) was performed on peripheral blood samples. And use biological information software and SPSS 22.0 for data processing and result analysis. Results: According to the inclusion and exclusion criteria, 54 patients with juvenile MG were included, 28 males and 26 females. And the average age of onset was (3.79±0.89) years. Among the enrolled patients, there were 52 (96.3%) patients with ocular MG, the MG-ADL scores of 54 patients were (3.44±0.44) points, and the titer of AChR antibody was (5.88±2.45) nmol/L. Two patients had thymic hyperplasia, and 5 patients had a family history of MG.A total of 169 variant genes were found in 54 patients, of which TTN gene variants had the largest number, with a total of 17 variants (31.5%). In the TTN gene variant group, 7(41.2%) patients had eye fixation symptoms, and 4 (10.8%) patients in the non-mutation group had eye fixation symptoms. And The difference between the two groups was statistically significant (P=0.016). In addition, the synaptic nucleus envelope protein-1 (SYNE1) and the ryanodine receptor-1 (RYR1) gene variations were also found in 7 cases (13.2%), and no clear relationship between these gene variations and clinical manifestations of MG was found. Conclusions: The incidence of juvenile MG was preschoolers with no gender difference, and ocular MG was more common. The proportion of TTN gene variation in adolescent MG was higher, suggesting that this gene may be a potential therapeutic target for juvenile MG patients.
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Affiliation(s)
- W H Yang
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University;Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Y R Lu
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University;Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - L Qiu
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University;Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - C Y Ou
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University;Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Z Z Lin
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University;Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Z D Huang
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University;Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - W B Liu
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University;Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
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Yu H, Qiu L. Analysis of fractured dental implant body from five different implant systems: a long-term retrospective study. Int J Oral Maxillofac Surg 2022; 51:1355-1361. [PMID: 35562314 DOI: 10.1016/j.ijom.2022.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 04/16/2022] [Accepted: 04/21/2022] [Indexed: 10/18/2022]
Abstract
The aim of this study was to perform an analysis of the incidence of implant body fracture and to identify possible risk factors. A long-term follow-up retrospective evaluation of 3477 patients who received 8588 implants from five implant systems was performed. Overall, 2810 patients who received 7502 implants, with an average follow-up of 6.9 years, were included in the analysis. The overall body fracture rate was 0.49% (37/7502), among which 32.4% (12/37) were implants with a reduced diameter. The estimated cumulative fracture rate was 1.24%. Fractures were observed in two patients with three Brånemark implants, 13 patients with 15 Nobel Replace implants, eight patients with eight Camlog implants, eight patients with 11 Ankylos implants, and none of the patients with Thommen implants. Most fractures occurred in the molar region (29/37) and in single implant-supported restorations (30/37). The results showed significant differences between splinted and unsplinted restorations (P = 0.005) and between regular and narrow diameter implants (P = 0.009). Within the limitations of this retrospective analysis, a narrow implant diameter is a potential risk factor for implant body fracture in the posterior region. Furthermore, unsplinted restorations appear to be associated with a higher rate of implant fracture.
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Affiliation(s)
- H Yu
- Fourth Division Department, Peking University School and Hospital of Stomatology, Chaoyang District, Beijing, China.
| | - L Qiu
- Fourth Division Department, Peking University School and Hospital of Stomatology, Chaoyang District, Beijing, China.
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Yin Y, Yu S, Yu J, Li M, Qiu L. M162 Establishment of an improved liquid chromatography tandem mass spectrometry method for measuring catecholamine and their metabolites in urine and methodology comparison with high performance liquid chromatography and electrochemical detection. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Ma M, Xia L, Chen X, Yin Y, Wu J, Qiu L. M266 Establishment of biological variation and age-related reference interval model of 22 common biochemical analytes in elderly through real world big data mining. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Ma C, Cheng X, Hu Y, Song A, Qiu L. M005 Establishing healthy distribution for thyrotropin receptor antibodies, thyroid stimulating immunoglobulin and thyroid stimulating blocking antibody for individuals in Beijing, China. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Yin Y, Wang D, Ma C, Qiu L, Yu S. M161 Establishment of reference intervals of vitamin a and e for Chinese elderly based on liquid chromatography tandem mass spectrometry method and analysis of their effects on common biochemical indicators. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Guo X, Hou L, Wang D, Qiu L. M156 Verification of the performance of anti-calcium dobesilate- enzymatic creatinine kit and evaluation the calcium dobesilate drug interference in China based on a multicenter real-world study. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Ma C, Chen X, Xia L, Xiaoqi L, Guo X, Guo X, Lin S, Qiu L. M267 Establishment of biological variation and age-related reference interval for thyroid hormones in the elderly using real-world big data mining. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Hou L, Ma C, Qiu L. M130 Validation of an approach using only big data from clinical laboratories to establish reference intervals for common biochemical analytes. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Ma C, Cheng X, Hu Y, Qiu L. T181 Establishment of influence factors and ageing models for thyroid hormones in the elderly using real-world big data. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Ma C, Li X, Liu L, Cheng X, Qiu L, Juntao L. T179 Establishment of early pregnancy related thyroid hormones models and reference intervals for pregnant women in china based on real world data. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Honglei L, Wang D, Zou Y, Qiu L. M135 Source of variation evaluation of specific proteins in apparently healthy Tibetan Chinese adults: A multicenter cross-sectional study. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Guo X, Hou L, Qiu L. M252 Routine serum creatinine measurement state of accuracy and inter-laboratory harmonization in China. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Lu YR, Yu L, Ma Q, Chen P, Qiu L, Ou CY, Lin ZZ, Liu WB. [Clinical characteristics and outcomes of myasthenia gravis patients with double positive antibodies against acetylcholine receptor and muscle-specific tyrosine kinase]. Zhonghua Yi Xue Za Zhi 2022; 102:942-947. [PMID: 35385966 DOI: 10.3760/cma.j.cn112137-20210912-02076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the clinical manifestations, treatment characteristics and outcomes of myasthenia gravis (MG) dually positive for anti-acetylcholine receptor antibody (AChR-Ab) and anti-muscle-specific tyrosine kinase antibody (MuSK-Ab). Method: MG patients hospitalized in the First Affiliated Hospital of Sun Yat-sen University from August 2017 to November 2020 were retrospectively collected. Thirty-four MuSK-Ab positive MG (MuSK-MG) patients, 11 double-antibodies positive MG (DP-MG) patients, and 80 AChR-Ab positive MG (AChR-MG) patients were included and allocated to three different groups. The clinical data of patients in the three groups were collected, and the differences of demographic characteristics, clinical manifestations and treatment outcomes between DP-MG patients and AChR-MG and MuSK-MG patients were analyzed. Result: The proportion of female and male patients in DP-MG group was 7/11 and 4/11 respectively, and the onset age of DP-MG was (41±27) years.The difference in gender distribution between DP-MG and AChR-MG groups was statistically significant (P<0.05). The proportion of extraocular muscle involvement in the DP-MG and MuSK-MG groups (8/11 and 52.9%) was lower than that in the AChR-MG group (83.8%), and the difference was statistically significant (P<0.05). The incidence of myasthenia crisis in DP-MG and MuSK-MG groups (54.5% and 61.8%) were higher than that in AChR-MG group (20.0%), with astatistically significant difference(P<0.05). The positive rate of neostigmine test in DP-MG and MuSK-MG groups(8/11 and 74.2%) were lower than that of AChR-MG group (96.8%), and the positive rate of low frequency repetitive nerve stimulation (RNS) in DP-MG group (5/10) was lower than that in AChR-MG group (85.1%), with statistically significant differences (all P<0.05). MuSK-Ab titer was positively correlated with the course of disease (r=0.466, P<0.05), and antibody titer decreased after symptom improvement (P<0.05). The response of patients in DP-MG and MuSK-MG groups to cholinesterase inhibitors (2/11 and 9.1%) was worse than that in the AChR-MG group (66.3%), and the incidence of side effects in the two groups (5/11 and 39.4%) was higher than that in the AChR-MG group (15.0%), with statistically significant differences (all P<0.05). There were 4 DP-MG patients underwent thymectomy, and the pathological results detected two cases of thymoma and two cases of thymic hyperplasia. Subsequent follow-up showed that 5 (5/11) DP-MG patients achieved minimal manifestation status or better status. Conclusion: The gender distribution, age of onset, pharmacological characteristics and electrophysiological examination of DP-MG patients were similar to those of MuSK-MG patients, but the severity of DP-MG patients was between that of AChR-MG and MuSK-MG patients.
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Affiliation(s)
- Y R Lu
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University; National Key Clinical Department and Key Discipline of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, Guangzhou 510080, China
| | - L Yu
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University; National Key Clinical Department and Key Discipline of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, Guangzhou 510080, China
| | - Q Ma
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University; National Key Clinical Department and Key Discipline of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, Guangzhou 510080, China
| | - P Chen
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University; National Key Clinical Department and Key Discipline of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, Guangzhou 510080, China
| | - L Qiu
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University; National Key Clinical Department and Key Discipline of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, Guangzhou 510080, China
| | - C Y Ou
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University; National Key Clinical Department and Key Discipline of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, Guangzhou 510080, China
| | - Z Z Lin
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University; National Key Clinical Department and Key Discipline of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, Guangzhou 510080, China
| | - W B Liu
- Department of Neurology, the First Affiliated Hospital, Sun Yat-sen University; National Key Clinical Department and Key Discipline of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, Guangzhou 510080, China
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Xi G, Qiu L, Xu S, Guo W, Fu F, Kang D, Zheng L, He J, Zhang Q, Li L, Wang C, Chen J. Computer-assisted quantification of tumor-associated collagen signatures to improve the prognosis prediction of breast cancer. BMC Med 2021; 19:273. [PMID: 34789257 PMCID: PMC8600902 DOI: 10.1186/s12916-021-02146-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 09/28/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Collagen fibers play an important role in tumor initiation, progression, and invasion. Our previous research has already shown that large-scale tumor-associated collagen signatures (TACS) are powerful prognostic biomarkers independent of clinicopathological factors in invasive breast cancer. However, they are observed on a macroscale and are more suitable for identifying high-risk patients. It is necessary to investigate the effect of the corresponding microscopic features of TACS so as to more accurately and comprehensively predict the prognosis of breast cancer patients. METHODS In this retrospective and multicenter study, we included 942 invasive breast cancer patients in both a training cohort (n = 355) and an internal validation cohort (n = 334) from one clinical center and in an external validation cohort (n = 253) from a different clinical center. TACS corresponding microscopic features (TCMFs) were firstly extracted from multiphoton images for each patient, and then least absolute shrinkage and selection operator (LASSO) regression was applied to select the most robust features to build a TCMF-score. Finally, the Cox proportional hazard regression analysis was used to evaluate the association of TCMF-score with disease-free survival (DFS). RESULTS TCMF-score is significantly associated with DFS in univariate Cox proportional hazard regression analysis. After adjusting for clinical variables by multivariate Cox regression analysis, the TCMF-score remains an independent prognostic indicator. Remarkably, the TCMF model performs better than the clinical (CLI) model in the three cohorts and is particularly outstanding in the ER-positive and lower-risk subgroups. By contrast, the TACS model is more suitable for the ER-negative and higher-risk subgroups. When the TACS and TCMF are combined, they could complement each other and perform well in all patients. As expected, the full model (CLI+TCMF+TACS) achieves the best performance (AUC 0.905, [0.873-0.938]; 0.896, [0.860-0.931]; 0.882, [0.840-0.925] in the three cohorts). CONCLUSION These results demonstrate that the TCMF-score is an independent prognostic factor for breast cancer, and the increased prognostic performance (TCMF+TACS-score) may help us develop more appropriate treatment protocols.
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Affiliation(s)
- Gangqin Xi
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China
| | - Lida Qiu
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China.,College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, 350108, China
| | - Shuoyu Xu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Wenhui Guo
- Breast Surgery Ward, Department of Breast Surgery, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Fangmeng Fu
- Breast Surgery Ward, Department of Breast Surgery, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China
| | - Jiajia He
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China
| | - Qingyuan Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, 150081, China
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China.
| | - Chuan Wang
- Breast Surgery Ward, Department of Breast Surgery, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China.
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Coughlan MF, Sawhney MS, Pleskow DK, Sheil CJ, Qiu L, Perelman LT. Measuring Droplets Expelled During Endoscopy to Investigate COVID-19 Transmission Risk. Gastroenterology 2021; 161:1702-1704.e3. [PMID: 34280387 PMCID: PMC8284060 DOI: 10.1053/j.gastro.2021.07.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/16/2021] [Accepted: 07/14/2021] [Indexed: 12/02/2022]
Affiliation(s)
| | - M S Sawhney
- Center for Advanced Endoscopy, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
| | - D K Pleskow
- Center for Advanced Endoscopy, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - C J Sheil
- Center for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - L Qiu
- Center for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - L T Perelman
- Center for Advanced Biomedical Imaging and Photonics, Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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Xi G, He J, Kang D, Xu S, Guo W, Fu F, Liu Y, Zheng L, Qiu L, Li L, Wang C, Chen J. Nomogram model combining macro and micro tumor-associated collagen signatures obtained from multiphoton images to predict the histologic grade in breast cancer. Biomed Opt Express 2021; 12:6558-6570. [PMID: 34745756 PMCID: PMC8548007 DOI: 10.1364/boe.433281] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/06/2021] [Accepted: 09/07/2021] [Indexed: 06/13/2023]
Abstract
The purpose of this study is to develop and validate a new nomogram model combining macro and micro tumor-associated collagen signatures obtained from multiphoton images to differentiate tumor grade in patients with invasive breast cancer. A total of 543 patients were included in this study. We used computer-generated random numbers to assign 328 of these patients to the training cohort and 215 patients to the validation cohort. Macroscopic tumor-associated collagen signatures (TACS1-8) were obtained by multiphoton microscopy at the invasion front and inside of the breast primary tumor. TACS corresponding microscopic features (TCMF) including morphology and texture features were extracted from the segmented regions of interest using Matlab 2016b. Using ridge regression analysis, we obtained a TACS-score for each patient based on the combined TACS1-8, and the least absolute shrinkage and selection operator (LASSO) regression was applied to select the most robust TCMF features to build a TCMF-score. Univariate logistic regression analysis demonstrates that the TACS-score and TCMF-score are significantly associated with histologic grade (odds ratio, 2.994; 95% CI, 2.013-4.452; P < 0.001; 4.245, 2.876-6.264, P < 0.001 in the training cohort). The nomogram (collagen) model combining the TACS-score and TCMF-score could stratify patients into Grade1 and Grade2/3 groups with the AUC of 0.859 and 0.863 in the training and validation cohorts. The predictive performance can be further improved by combining the clinical factors, achieving the AUC of 0.874 in both data cohorts. The nomogram model combining the TACS-score and TCMF-score can be useful in differentiating breast tumor patients with Grade1 and Grade2/3.
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Affiliation(s)
- Gangqin Xi
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China
- These authors contributed equally to this work
| | - Jiajia He
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China
- These authors contributed equally to this work
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
- These authors contributed equally to this work
| | - Shuoyu Xu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Wenhui Guo
- Department of Breast Surgery, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Fangmeng Fu
- Department of Breast Surgery, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Yulan Liu
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China
| | - Lida Qiu
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou 350108, China
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China
| | - Chuan Wang
- Department of Breast Surgery, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China
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Zhou C, Xie X, Wu J, Guo B, Qin Y, Lin X, Liu M, Qiu L, Xiang J, Chen Z, Zou X. 1273P Sputum supernatant as a viable liquid biopsy in advanced non-small cell lung cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Wang CX, Liu C, Qiu L, Qiu J, Yan CF, Wang NN, Wang HQ. [Control study of chest CT imaging features of aluminosis and silicosis patients]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:534-537. [PMID: 34365767 DOI: 10.3760/cma.j.cn121094-20200904-00517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the chest CT features of aluminosis caused by alumina and to improve the understanding of the imaging findings of alumina pneumoconiosis. Methods: The chest CT findings of 17 cases of alumina-induced pneumoconiosis and 30 cases of silicosis (the control group) diagnosed in Zibo Occupational Disease Prevention Hospital from April 2015 to July 2020 were analyzed retrospectively. The characteristics of fibrosis of the two kinds of pneumoconiosis and the incidence of size, density, distribution, tractive bronchiectasis, pleural thickening and interlobular septal thickening of pneumoconiosis nodules were compared. Results: Alumina pneumoconiosis showed nodules with thickened interlobular septal of 66.67% (12/18) , honeycomb lung of 22.22% (4/18) , ground glass shadow of 61.11% (11/18) , simple nodules of 11.11% (2/18) , and no fusion mass. In the control group, the long-line fibrosis of nodules with thickened interlobular septal were 16.67% (5/30) , 6.67% (2/30) with honeycomb lung and ground glass density shadow, 23.33% (7/30) with fusion mass and 53.33% (16/30) with simple nodule. There were significant differences in CT findings of nodules with thickened interlobular septal, ground glass density shadow, fused mass and simple nodules between the two groups (P<0.05) . The interstitial beaded nodules were seen in 18 cases of alumina pneumoconiosis, 50.00% (9/18) of them were beaded nodules, 61.33% (46/75) of low density nodules and 38.89% (7/18) of central lobular nodules were seen in alumina pneumoconiosis. The average width of nodules was (1.29±0.38) mm. Central lobular nodules were seen in all 30 cases of silicosis, 10.00% (3/30) were mainly beaded nodules, low density nodules were 36.29% (90/248) , and the average width diameter of nodules was (1.85±0.58) mm. There were significant differences between the two groups (P<0.05) . Alumina pneumoconiosis was often accompanied by traction bronchiectasis, pleural thickening and interlobular septal thickening (11, 18, 17 cases, 61.11%, 100.00%, 94.44%) , compared with the control group (9, 18, 18 cases, 30.00%, 60.00%, 60.00%) . The differences were statistically significant (P<0.05) . The maximum CT value of noncalcified mediastinal lymphnodes in alumina pneumoconiosis was (103.43±26.33) HU, which was higher than that of the control group[ (75.22±16.70) HU], and the difference was statistically significant (P<0.05) . Conclusion: Alumina pneumoconiosis chest CT shows slightly low-density beaded nodules, thickened interlobular septal, and pulmonary interstitial fibrosis of ground-glass shadows, mostly combines with stretched bronchiectasis, thickened pleura, and mediastinum increased lymph node density.
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Affiliation(s)
- C X Wang
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - C Liu
- Shandong Medical Imaging Research Institute, Jinan 250021, China
| | - L Qiu
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - J Qiu
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - C F Yan
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - N N Wang
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - H Q Wang
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Wang X, Hong Y, Li Y, Guan Q, Zhou S, Qian Z, Qiu L, Li L, Liu X, Fu K, Zhang H. COSTIMULATORY MOLECULE OX40, TUMOR IMMUNE MICROENVIRONMENT AND RESPONSE TO IMMUNOCHEMOTHERAPY IN DIFFUSE LARGE B‐CELL LYMPHOMA: AN INTEGRATIVE ANALYSIS WITH MOLECULAR CHARACTERISTICS. Hematol Oncol 2021. [DOI: 10.1002/hon.9_2881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- X Wang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - Y Hong
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - Y Li
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - Q Guan
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - S Zhou
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - Z Qian
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - L Qiu
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - L Li
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - X Liu
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - K Fu
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - H Zhang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
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Qiu L, Jin J, Cen H, Zhou K, Xu X, Li F, Wu T, Yang H, Wang Z, Li Z, Bao H, Xu Z, Shu Y. A PHASE I
B
STUDY OF AN ORAL PI3Kδ INHIBITOR LINPERLISIB IN PATIENTS WITH RELAPSED OR REFRACTORY PERIPHERAL T CELL LYMPHOMA. Hematol Oncol 2021. [DOI: 10.1002/hon.128_2880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- L. Qiu
- Blood Institute of the Chinese Academy of Medical Sciences lymphoma treatment center Tianjin China
| | - J. Jin
- First Hospital Affiliated Zhe Jiang Medical University Department of Hematology Hangzhou China
| | - H. Cen
- Guangxi Medical University Affiliated Tumor Hospital Department of Medical Oncology Nanning China
| | - K. Zhou
- Henan Cancer Hospital Department of Hematology Zhengzhou China
| | - X. Xu
- Cancer Hospital affiliated to Nantong University Department of Hematology and Lymphoma Nantong China
| | - F. Li
- The First Affiliated Hospital of Nanchang University Department of Hematology Nanchang China
| | - T. Wu
- Guizhou Cancer Hospital Department of Lymphoma Guiyang China
| | - H. Yang
- Cancer Hospital of The University of Chinese Academy of Sciences Department of Lymphoma Hangzhou China
| | - Z. Wang
- Linyi Cancer Hospital Department of Medical Oncology Linyi China
| | - Z. Li
- Sun Yat‐Sen University Cancer Center Department of Medical Oncology Guangzhou China
| | - H. Bao
- Shanghai Yingli Pharmaceutical Co., Ltd Clinical Management Department Shanghai China
| | - Z. Xu
- Shanghai Yingli Pharmaceutical Co., Ltd Clinical Management Department Shanghai China
| | - Y. Shu
- Shanghai Yingli Pharmaceutical Co., Ltd Clinical Management Department Shanghai China
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Zhang S, Zhang T, Song Z, Li W, Yu J, Zhao J, Zhou S, Qian Z, Li L, Qiu L, Liu X, Wang X, Zhang H. TRACKING THE EVOLUTION OF UNTREATED HIGH‐INTERMEDIATE/HIGH‐RISK DIFFUSE LARGE B‐CELL LYMPHOMA BY CIRCULATING TUMOR DNA. Hematol Oncol 2021. [DOI: 10.1002/hon.6_2881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- S Zhang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - T Zhang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - Z Song
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - W Li
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - J Yu
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - J Zhao
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - S Zhou
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - Z Qian
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - L Li
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - L Qiu
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - X Liu
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - X Wang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
| | - H Zhang
- Department of Lymphoma Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center of Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin’s Clinical Research Center for Cancer the Sino‐US Center for Lymphoma and Leukemia Research Tianjin China
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Qiu L, Han XY, He DH, Zhu F, Zhao Y, Zhu WW, Zheng GF, Yang Y, Wu WW, Cai Z, Yang XC, He JS. [The effect of peripheral blood cell score on the prognosis of multiple myeloma patients treated with bortezomib]. Zhonghua Xue Ye Xue Za Zhi 2021; 41:756-761. [PMID: 33113608 PMCID: PMC7595856 DOI: 10.3760/cma.j.issn.0253-2727.2020.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
目的 评估外周血细胞检测结果在以硼替佐米为一线治疗的多发性骨髓瘤(MM)患者中的预后作用。 方法 回顾性分析2014年1月至2016年12月浙江大学医学院附属第一医院和浙江省舟山医院收治的155例初诊MM患者的临床数据,患者均一线接受以硼替佐米为基础方案的治疗。分析外周血细胞检测结果,包括ANC、单核细胞计数(AMC)、HGB、红细胞平均体积(MCV)、PLT以及其他临床特征对MM患者的预后评估作用。 结果 AMC(>0.6×109/L)、MCV(>99.1fl)以及PLT(<150×109/L)明显影响MM患者无进展生存(PFS)和总生存(OS),以上3个因子分别赋值1分,形成血细胞积分。结果显示,64例(41.3%)积分0,57例(36.8%)积分1,32例(20.6%)积分2,2例(1.3%)积分3,4组患者中位PFS时间分别为42.8、26.5、15.8、6.4个月(P<0.001),中位OS时间分别为未达到和48.2、31.1、31.4个月(P=0.001)。多因素分析提示,血细胞积分(2~3对0~1)和骨髓浆细胞比例(>30%对≤30%)为PFS的独立预后因素(HR分别为1.95和1.76),而患者年龄(>65岁对≤65岁)、R-ISS分期(Ⅲ期对Ⅰ~Ⅱ期)和血细胞积分(2~3对0~1)是OS的独立预后因素(HR分别为2.08、2.13和2.12)。 结论 血细胞积分简单易得,可用于新药时代初治MM患者的预后评估,但仍需扩大病例并进行前瞻性研究进一步明确。
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Affiliation(s)
- L Qiu
- Department of Hematological Oncology and Chemotherapy, Zhoushan Hospital, Zhoushan 316004, China
| | - X Y Han
- Hematology and Bone Marrow Transplantation, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - D H He
- Hematology and Bone Marrow Transplantation, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - F Zhu
- Department of Hematological Oncology and Chemotherapy, Zhoushan Hospital, Zhoushan 316004, China
| | - Y Zhao
- Hematology and Bone Marrow Transplantation, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - W W Zhu
- Department of Hematological Oncology and Chemotherapy, Zhoushan Hospital, Zhoushan 316004, China
| | - G F Zheng
- Hematology and Bone Marrow Transplantation, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Y Yang
- Hematology and Bone Marrow Transplantation, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - W W Wu
- Hematology and Bone Marrow Transplantation, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Z Cai
- Hematology and Bone Marrow Transplantation, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
| | - X C Yang
- Department of Hematological Oncology and Chemotherapy, Zhoushan Hospital, Zhoushan 316004, China
| | - J S He
- Hematology and Bone Marrow Transplantation, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China
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Xi G, Guo W, Kang D, Ma J, Fu F, Qiu L, Zheng L, He J, Fang N, Chen J, Li J, Zhuo S, Liao X, Tu H, Li L, Zhang Q, Wang C, Boppart SA, Chen J. Large-scale tumor-associated collagen signatures identify high-risk breast cancer patients. Theranostics 2021; 11:3229-3243. [PMID: 33537084 PMCID: PMC7847696 DOI: 10.7150/thno.55921] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 12/20/2020] [Indexed: 01/29/2023] Open
Abstract
The notion of personalized medicine demands proper prognostic biomarkers to guide the optimal therapy for an invasive breast cancer patient. However, various risk prediction models based on conventional clinicopathological factors and emergent molecular assays have been frequently limited by either a low strength of prognosis or restricted applicability to specific types of patients. Therefore, there is a critical need to develop a strong and general prognosticator. Methods: We observed five large-scale tumor-associated collagen signatures (TACS4-8) obtained by multiphoton microscopy at the invasion front of the breast primary tumor, which contrasted with the three tumor-associated collagen signatures (TACS1-3) discovered by Keely and coworkers at a smaller scale. Highly concordant TACS1-8 classifications were obtained by three independent observers. Using the ridge regression analysis, we obtained a TACS-score for each patient based on the combined TACS1-8 and established a risk prediction model based on the TACS-score. In a blind fashion, consistent retrospective prognosis was obtained from 995 breast cancer patients in both a training cohort (n= 431) and an internal validation cohort (n = 300) collected from one clinical center, and in an external validation cohort (n = 264) collected from a different clinical center. Results: TACS1-8 model alone competed favorably with all reported models in predicting disease-free survival (AUC: 0.838, [0.800-0.872]; 0.827, [0.779-0.868]; 0.807, [0.754-0.853] in the three cohorts) and stratifying low- and high-risk patients (HR 7.032, [4.869-10.158]; 6.846, [4.370-10.726], 4.423, [2.917-6.708]). The combination of these factors with the TACS-score into a nomogram model further improved the prognosis (AUC: 0.865, [0.829-0.896]; 0.861, [0.816-0.898]; 0.854, [0.805-0.894]; HR 7.882, [5.487-11.323]; 9.176, [5.683-14.816], and 5.548, [3.705-8.307]). The nomogram identified 72 of 357 (~20%) patients with unsuccessful 5-year disease-free survival that might have been undertreated postoperatively. Conclusions: The risk prediction model based on TACS1-8 considerably outperforms the contextual clinical model and may thus convince pathologists to pursue a TACS-based breast cancer prognosis. Our methodology identifies a significant portion of patients susceptible to undertreatment (high-risk patients), in contrast to the multigene assays that often strive to mitigate overtreatment. The compatibility of our methodology with standard histology using traditional (non-tissue-microarray) formalin-fixed paraffin-embedded (FFPE) tissue sections could simplify subsequent clinical translation.
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Affiliation(s)
- Gangqin Xi
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Wenhui Guo
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Deyong Kang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jianli Ma
- Department of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Fangmeng Fu
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Lida Qiu
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
- College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China
| | - Liqin Zheng
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Jiajia He
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Na Fang
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
- Department of Ophthalmology and Optometry, Fujian Medical University, Fuzhou, China
| | - Jianhua Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
- College of Life Science, Fujian Normal University, Fuzhou, China
| | - Jingtong Li
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Shuangmu Zhuo
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Xiaoxia Liao
- National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Haohua Tu
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Lianhuang Li
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
| | - Qingyuan Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Chuan Wang
- Breast Surgery Ward, Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Stephen A. Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Jianxin Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China
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Qiu L, Chen P, Zhang G. 393P Clinical characteristics and prognosis of patients with pulmonary mucoepidermoid carcinoma: A SEER-based analysis. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Cheng Y, Qiu L, He GL, Cai L, Peng BJ, Cao YL, Pan MX. MicroRNA-361-5p suppresses the tumorigenesis of hepatocellular carcinoma through targeting WT1 and suppressing WNT/β-cadherin pathway. Eur Rev Med Pharmacol Sci 2020; 23:8823-8832. [PMID: 31696469 DOI: 10.26355/eurrev_201910_19277] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE MicroRNA-361-5p (miR-361-5p) has been found to be involved in the pathogenesis of several human cancers. However, the specific role of miR-361-5p is still unclear in hepatocellular carcinoma (HCC). Therefore, this study was designed to elucidate the function of miR-361-5p in HCC. PATIENTS AND METHODS The expression levels of miR-361-5p and Wilms' tumor-1 (WT1) were detected by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) assay. Moreover, the function of miR-361-5p was examined through Cell Counting Kit-8 (CCK-8) and transwell assays. The protein expressions were examined via Western blot analysis and immunocytochemical assay. Tumor growth of HCC was observed via xenograft tumor formation assay. The relationship between miR-361-5p and WT1 was verified by the Dual-Luciferase assay. RESULTS Downregulation of miR-361-5p was identified in HCC, which predicted a worse prognosis in HCC patients. Furthermore, it was found that miR-361-5p suppressed cell proliferation, migration, and invasion in HCC by inhibiting WT1. MiR-361-5p also inhibited tumor growth of HCC. Besides that, miR-361-5p suppressed EMT and negatively activated the WNT/β-cadherin pathway in HCC. CONCLUSIONS MiR-361-5p suppressed tumorigenesis of HCC by targeting WT1 and inactivating the WNT/β-cadherin pathway.
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Affiliation(s)
- Y Cheng
- Second Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
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Mai C, Qiu L, Zeng Y, Jian HG. LncRNA Lethe protects sepsis-induced brain injury via regulating autophagy of cortical neurons. Eur Rev Med Pharmacol Sci 2020; 23:4858-4864. [PMID: 31210319 DOI: 10.26355/eurrev_201906_18073] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To investigate the role of long non-coding RNA (lncRNA) Lethe in mediating autophagy of cortical neurons in mice with sepsis-induced brain injury (SIBI). MATERIALS AND METHODS A total of 60 wild-type C57BL/6 mice were divided into sham-operated wild-type (SWT) group and wild-type model (MWT) group. Sixty Lethe-/- mice were divided into sham-operated knockout (SKO) group and model knockout (MKO) group. Each group had 30 mice. Sepsis model in mice was established by cecal ligation and puncture (CLP). Neurobiological score was recorded at 6 h after CLP. Mice with lower than 6 scores of neurobehavioral tests were diagnosed with SIBI. Quantitative Real-time polymerase chain reaction (qRT-PCR) was performed to determine mRNA levels of Lethe and interferon-γ (INF-γ) in cortical neurons of SIBI mice. Western blot was conducted to detect protein levels of LC3-II, LC3-I and SQSTM1 in mice. Neuronal impairment in mouse brain was evaluated by hematoxylin and eosin (HE) staining. RESULTS Expressions of LC3-I and LC3-II in cerebral cortex of MWT group began to increase at 6 h after CLP, and remained at high levels until 96 h. On the contrary, SQSTM1 expression in cerebral cortex of MWT group began to decrease at 6 h after CLP. Compared with SWT group, expressions of Lethe and IFN-γ were remarkably upregulated in cortex of MWT group at 12 h after CLP. Expression of LC3-II in MWT group was remarkably upregulated, while SQSTM1 was downregulated at 12 h after CLP, which were contrary to those in MKO group. At 12 h after CLP, the neurobiological scores of the MKO group (4.97±0.71) were markedly lower than those of the MWT group (5.43±0.86). HE staining showed worse damage in cerebral cortex and fewer neurons of MKO group relative to MWT group. CONCLUSIONS Lethe has a protective effect on SIBI mice by regulating autophagy in mouse cortical neurons.
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Affiliation(s)
- C Mai
- Department of Emergency, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
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