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Ming Y, Wu N, Qian T, Li X, Wan DQ, Li C, Li Y, Wu Z, Wang X, Liu J, Wu N. Progress and Future Trends in PET/CT and PET/MRI Molecular Imaging Approaches for Breast Cancer. Front Oncol 2020; 10:1301. [PMID: 32903496 PMCID: PMC7435066 DOI: 10.3389/fonc.2020.01301] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 06/23/2020] [Indexed: 12/13/2022] Open
Abstract
Breast cancer is a major disease with high morbidity and mortality in women worldwide. Increased use of imaging biomarkers has been shown to add more information with clinical utility in the detection and evaluation of breast cancer. To date, numerous studies related to PET-based imaging in breast cancer have been published. Here, we review available studies on the clinical utility of different PET-based molecular imaging methods in breast cancer diagnosis, staging, distant-metastasis detection, therapeutic and prognostic prediction, and evaluation of therapeutic responses. For primary breast cancer, PET/MRI performed similarly to MRI but better than PET/CT. PET/CT and PET/MRI both have higher sensitivity than MRI in the detection of axillary and extra-axillary nodal metastases. For distant metastases, PET/CT has better performance in the detection of lung metastasis, while PET/MRI performs better in the liver and bone. Additionally, PET/CT is superior in terms of monitoring local recurrence. The progress in novel radiotracers and PET radiomics presents opportunities to reclassify tumors by combining their fine anatomical features with molecular characteristics and develop a beneficial pathway from bench to bedside to predict the treatment response and prognosis of breast cancer. However, further investigation is still needed before application of these modalities in clinical practice. In conclusion, PET-based imaging is not suitable for early-stage breast cancer, but it adds value in identifying regional nodal disease and distant metastases as an adjuvant to standard diagnostic imaging. Recent advances in imaging techniques would further widen the comprehensive and convergent applications of PET approaches in the clinical management of breast cancer.
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Affiliation(s)
- Yue Ming
- PET-CT Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nan Wu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China
| | - Tianyi Qian
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiao Li
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - David Q Wan
- Department of Diagnostic and Interventional Imaging, McGovern Medical School, Health and Science Center at Houston, University of Texas, Houston, TX, United States
| | - Caiying Li
- Department of Medical Imaging, Second Hospital of Hebei Medical University, Hebei, China
| | - Yalun Li
- Department of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Zhihong Wu
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing, China.,Department of Central Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Xiang Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiaqi Liu
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, China.,Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ning Wu
- PET-CT Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Abdollahzadeh S, Ghorbian S. Association of the study between LncRNA-H19 gene polymorphisms with the risk of breast cancer. J Clin Lab Anal 2018; 33:e22826. [PMID: 30485527 DOI: 10.1002/jcla.22826] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 10/08/2018] [Accepted: 11/04/2018] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The H19 is a maternally expressed imprinted gene transcribing a long noncoding RNA (lncRNA), which has previously been reported to be involved in tumorigenesis and cancer progression. The aim of this study was to evaluate the associations between two lncRNA-H19 (rs3741219 T>C and rs217727 C>T) gene polymorphisms with the risk of breast cancer (BC). METHODS In a case-control investigation, we evaluated 150 BC patients and 100 cancer-free subjects in East Azerbaijan Province of Iran. To assess two gene polymorphisms, the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used. RESULTS The genotype frequencies of two lncRNA-H19 (rs217727 C>T and rs3741219 T>C) gene polymorphisms TT + TC/CC and CC + CT/TT have not shown a statistically significant association with the risk of BC (P = 0.065; OR = 0.967; 95% CI, 0.938-0.996) and (P = 0.510; OR = 1.583; 95% CI, 0.399-6.726), respectively. In addition, our findings revealed a significant differences in allele frequencies in lncRNA-H19 rs217727 C>T polymorphism between groups (P = 0.033; OR = 1.985; 95% CI, 1.048-3.761). CONCLUSION Our findings suggested that rs217727 C>T polymorphism may be involved in the pathogenesis of BC, whereas rs3741219 T>C variation may not be involved in the genetic background of BC in Iranian.
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Affiliation(s)
- Safa Abdollahzadeh
- Department of Molecular Genetics, Ahar Branch, Islamic Azad University, Ahar, Iran
| | - Saeid Ghorbian
- Department of Molecular Genetics, Ahar Branch, Islamic Azad University, Ahar, Iran
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