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Huang Y, Zheng D, Yang Q, Wu J, Tian H, Ji Z, Chen L, Cai J, Li Z, Chen Y. Global trends in BRCA-related breast cancer research from 2013 to 2022: A scientometric analysis. Front Oncol 2023; 13:1197168. [PMID: 37476378 PMCID: PMC10354558 DOI: 10.3389/fonc.2023.1197168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/21/2023] [Indexed: 07/22/2023] Open
Abstract
Introduction Since the mid-2000s, breast cancer incidence among women has slowly increased at about 0.5% per year. In the last three decades, Breast Cancer Susceptibility Gene (BRCA) has been proven to be the crucial gene in encouraging the incidence and development of breast cancer. However, scientometric analysis on BRCA-related breast cancer is in shortage. Thus, to have a clear understanding of the current status and catch up with the hotspots, a scientometric analysis was conducted on specific academic publications collected from the Web of Science (WoS). Methods We searched the Web of Science Core Collection (WoSCC) to procure associated articles as our dataset. Bibliometric, CiteSpace, VOSviewer, and HistCite software were then applied to conduct visual analyses of countries, institutions, journals, authors, landmark articles, and keywords in this research field. Results A total of 7,266 articles and 1,310 review articles published between 2013 to 2022 were retrieved eventually. The annual output steadily rose year by year and peaked in 2021. The USA led the way in the number of published works, total citations, and collaboration. Breast Cancer Research and Treatment was the most favoured journal in this research field. Narod SA from the University of Toronto produced the most publications. At last, the most prominent keywords were "breast cancer" (n=1,778), "women" (n=1,369), "brca1" (n=1,276), "ovarian cancer" (n=1,259), "risk" (n=1,181), and "mutations" (n=929), which exposed the hotspots within the BRCA domain of breast cancer study. Conclusion The tendency in the BRCA research field over the past decade was presented by the scientometric analysis. The current research focus is the clinical trials of poly-adenosine diphosphate ribose polymerase inhibitors (PARPi) drugs and their resistance mechanisms.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Zhiyang Li
- *Correspondence: Zhiyang Li, ; Yexi Chen,
| | - Yexi Chen
- *Correspondence: Zhiyang Li, ; Yexi Chen,
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Ren Y, Zhang J, Zhang JD, Xu JZ. Efficacy of digital breast tomosynthesis combined with magnetic resonance imaging in the diagnosis of early breast cancer. World J Clin Cases 2022; 10:10042-10052. [PMID: 36246806 PMCID: PMC9561587 DOI: 10.12998/wjcc.v10.i28.10042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/28/2022] [Accepted: 08/22/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The incidence and mortality rate of breast cancer in China rank 120th and 163rd, worldwide, respectively. The incidence of breast cancer is on the rise; the risk increases with age but is slightly reduced after menopause. Early screening, diagnosis, and timely determination of the best treatment plan can ensure clinical efficacy and prognosis.
AIM To evaluate the clinical value of magnetic resonance imaging (MRI) combined with digital breast tomosynthesis (DBT) in diagnosing early breast cancer and the effect of breast-conserving surgery by arc incision.
METHODS This study was divided into two parts. Firstly, 110 patients with early breast cancer confirmed by pathological examination and 110 with benign breast diseases diagnosed simultaneously in Changzhi People’s Hospital of Shanxi Province and Shanxi Dayi Hospital from May 2019 to September 2020 were included in the breast cancer group and the benign group, respectively. Both groups underwent DBT and MRI examination, and the pathological results were used as the gold standard to evaluate the effectiveness of the combined application of DBT and MRI in the diagnosis of early breast cancer. Secondly, according to the operation method, 110 patients with breast cancer were divided into either a breast-conserving group (69 patients) or a modified radical mastectomy group (41 patients). The surgical effect, cosmetic effect, and quality of life of the two groups were compared.
RESULTS Among the 110 cases of breast cancer, 66 were of invasive ductal carcinoma (60.00%), and 22 were of ductal carcinoma in situ (20.00%). Among the 110 cases of benign breast tumors, 55 were of breast fibromas (50.00%), and 27 were of breast adenosis (24.55%). The sensitivity, specificity, and area under the curve (AUC) of DBT in the differential diagnosis of benign and malignant breast tumors were 73.64%, 84.55%, and 0.791, respectively. The sensitivity, specificity, and AUC of MRI in the differential diagnosis of benign and malignant breast tumors were 84.55%, 85.45%, and 0.850, respectively. The sensitivity, specificity, and AUC of DBT combined with MRI in the differential diagnosis of benign and malignant breast tumors were 97.27%, 93.64%, and 0.955, respectively. The blood loss, operation time and hospitalization time of the breast-conserving group were significantly lower than those of the modified radical treatment group, and the difference was statistically significant (P < 0.05). After 3 mo of observation, the breast cosmetic effect of the breast-conserving group was better than that of the modified radical group, and the difference was statistically significant (P < 0.05). Before surgery, the quality-of-life scores of the breast-conserving and modified radical mastectomy groups did not differ (P > 0.05). Three months after surgery, the quality-of-life scores in both groups were higher than those before surgery (P < 0.05), and the quality-of-life score of the breast-conserving group was higher than that of the modified radical group (P < 0.05). In the observation of tumor recurrence rate two years after the operation, four patients in the breast-conserving group and one in the modified radical treatment group had a postoperative recurrence. There was no significant difference in the recurrence rate between the two groups (χ2 = 0.668, P = 0.414 > 0.05).
CONCLUSION MRI combined with DBT in diagnosing early breast cancer can significantly improve the diagnostic efficacy compared with the two alone. Breast-conserving surgery leads to better cosmetic breast effects and reduces the impact of surgery on postoperative quality of life.
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Affiliation(s)
- Yun Ren
- Department of Breast Surgery, Changzhi People's Hospital Affiliated to Shanxi Medical University, Changzhi 046000, Shanxi Province, China
| | - Jiao Zhang
- Department of Diagnostic Radiology, Changzhi People's Hospital Affiliated to Shanxi Medical University, Changzhi 046000, Shanxi Province, China
| | - Jin-Dan Zhang
- Department of Breast Surgery, Changzhi People's Hospital Affiliated to Shanxi Medical University, Changzhi 046000, Shanxi Province, China
| | - Jian-Zhong Xu
- Department of Breast Surgery, Changzhi People's Hospital Affiliated to Shanxi Medical University, Changzhi 046000, Shanxi Province, China
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Li X, Fu G, Zhang L, Guan R, Tang P, Zhang J, Rao X, Chen S, Xu X, Zhou Y, Deng Y, Lv T, He X, Mo S, Mu P, Gao J, Hua G. Assay establishment and validation of a high-throughput organoid-based drug screening platform. Stem Cell Res Ther 2022; 13:219. [PMID: 35619149 PMCID: PMC9137096 DOI: 10.1186/s13287-022-02902-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 05/14/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Organoids are three-dimensional structures that closely recapitulate tissue architecture and cellular composition, thereby holding great promise for organoid-based drug screening. Although growing in three-dimensional provides the possibility for organoids to recapitulate main features of corresponding tissues, it makes it incommodious for imaging organoids in two-dimensional and identifying surviving organoids from surrounding dead cells after organoids being treated by irradiation or chemotherapy. Therefore, significant work remains to establish high-quality controls to standardize organoid analyses and make organoid models more reproducible. METHODS In this study, the Z-stack imaging technique was used for the imaging of three-dimensional organoids to gather all the organoids' maximum cross sections in one imaging. The combination of live cell staining fluorescent dye Calcein-AM and ImageJ assessment was used to analyze the survival of organoids treated by irradiation or chemotherapy. RESULTS We have established a novel quantitative high-throughput imaging assay that harnesses the scalability of organoid cultures. Using this assay, we can capture organoid growth over time, measure multiple whole-well organoid readouts, and show the different responses to drug treatments. CONCLUSIONS In summary, combining the Z-stack imaging technique and fluorescent labeling methods, we established an assay for the imaging and analysis of three-dimensional organoids. Our data demonstrated the feasibility of using organoid-based platforms for high-throughput drug screening assays.
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Affiliation(s)
- Xiaomeng Li
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Guoxiang Fu
- D1 Medical Technology Company, Shanghai, 201802, China
| | - Long Zhang
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Cancer Institute, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
| | - Ruoyu Guan
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Peiyuan Tang
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Jialing Zhang
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Xinxin Rao
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
| | - Shengzhi Chen
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Xiaoya Xu
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Yi Zhou
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Yun Deng
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
| | - Tao Lv
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
| | - Xingfeng He
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Shaobo Mo
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Peiyuan Mu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
| | - Jianjun Gao
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Guoqiang Hua
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
- Cancer Institute, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China.
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Mondal P, Bailey KL, Cartwright SB, Band V, Carlson MA. Large Animal Models of Breast Cancer. Front Oncol 2022; 12:788038. [PMID: 35186735 PMCID: PMC8855936 DOI: 10.3389/fonc.2022.788038] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 01/18/2022] [Indexed: 01/29/2023] Open
Abstract
In this mini review the status, advantages, and disadvantages of large animal modeling of breast cancer (BC) will be discussed. While most older studies of large animal BC models utilized canine and feline subjects, more recently there has been interest in development of porcine BC models, with some early promising results for modeling human disease. Widely used rodent models of BC were briefly reviewed to give context to the work on the large animal BC models. Availability of large animal BC models could provide additional tools for BC research, including availability of human-sized subjects and BC models with greater biologic relevance.
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Affiliation(s)
- Pinaki Mondal
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE, United States,Department of Surgery, VA Medical Center, Omaha, NE, United States
| | - Katie L. Bailey
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE, United States
| | - Sara B. Cartwright
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE, United States
| | - Vimla Band
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States,Fred & Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, United States
| | - Mark A. Carlson
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE, United States,Department of Surgery, VA Medical Center, Omaha, NE, United States,Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States,Fred & Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, United States,Center for Advanced Surgical Technology, University of Nebraska Medical Center, Omaha, NE, United States,*Correspondence: Mark A. Carlson,
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Jiang ZY, Liu JB, Wang XF, Ma YS, Fu D. Current Status and Prospects of Clinical Treatment of Osteosarcoma. Technol Cancer Res Treat 2022; 21:15330338221124696. [PMID: 36128851 PMCID: PMC9500272 DOI: 10.1177/15330338221124696] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Osteosarcoma, one of the common malignant tumors in the skeletal system, originates in mesenchymal tissue, and the most susceptible area of occurrence is the metaphysis with its abundant blood supply. Tumors are characterized by highly malignant spindle stromal cells that can produce bone-like tissue. Most of the osteosarcoma are primary, and a few are secondary. Osteosarcoma occurs primarily in children and adolescents undergoing vigorous bone growth and development. Most cases involve rapid tumor development and early blood metastasis. In recent years, research has grown in the areas of molecular biology, imaging medicine, biological materials, applied anatomy, surgical techniques, biomechanics, and comprehensive treatment of tumors. With developments in molecular biology and tissue bioengineering, treatment methods have also made great progress, especially in comprehensive limb salvage treatment, which significantly enhances the quality of life after surgery and improves the 5-year survival rate of patients with malignant tumors. This article provides a review of limb salvage, immunotherapy, gene therapy, and targeted therapy from traditional amputation to neoadjuvant chemotherapy, providing a reference for current clinical treatments for osteosarcoma.
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Affiliation(s)
- Zong-Yuan Jiang
- Department of Hand Surgery, 380381Shenzhen Longhua District People's Hospital, Shenzhen, China
| | - Ji-Bin Liu
- Institute of Oncology, Nantong UniversityAffiliated Tumor Hospital of Nantong University, Nantong, China
| | - Xiao-Feng Wang
- Department of Orthopedics, Zhongshan Hospital, 12478Fudan University, Shanghai, China
| | - Yu-Shui Ma
- Cancer Institute, 74754Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Da Fu
- Department of General Surgery, Ruijin Hospital, 12474Shanghai Jiaotong University School of Medicine, Shanghai, China
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