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Li X, Fan Z, Jiang H, Niu J, Bian W, Wang C, Wang Y, Zhang R, Zhang H. Synthetic MRI in breast cancer: differentiating benign from malignant lesions and predicting immunohistochemical expression status. Sci Rep 2023; 13:17978. [PMID: 37864025 PMCID: PMC10589282 DOI: 10.1038/s41598-023-45079-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/16/2023] [Indexed: 10/22/2023] Open
Abstract
To evaluate and compare the performance of synthetic magnetic resonance imaging (SyMRI) in classifying benign and malignant breast lesions and predicting the expression status of immunohistochemistry (IHC) markers. We retrospectively analysed 121 patients with breast lesions who underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and SyMRI before surgery in our hospital. DCE-MRI was used to assess the lesions, and then regions of interest (ROIs) were outlined on SyMRI (before and after enhancement), and apparent diffusion coefficient (ADC) maps to obtain quantitative values. After being grouped according to benign and malignant status, the malignant lesions were divided into high and low expression groups according to the expression status of IHC markers. Logistic regression was used to analyse the differences in independent variables between groups. The performance of the modalities in classification and prediction was evaluated by receiver operating characteristic (ROC) curves. In total, 57 of 121 lesions were benign, the other 64 were malignant, and 56 malignant lesions performed immunohistochemical staining. Quantitative values from proton density-weighted imaging prior to an injection of the contrast agent (PD-Pre) and T2-weighted imaging (T2WI) after the injection (T2-Gd), as well as its standard deviation (SD of T2-Gd), were valuable SyMRI parameters for the classification of benign and malignant breast lesions, but the performance of SyMRI (area under the curve, AUC = 0.716) was not as good as that of ADC values (AUC = 0.853). However, ADC values could not predict the expression status of breast cancer markers, for which SyMRI had excellent performance. The AUCs of androgen receptor (AR), estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), p53 and Ki-67 were 0.687, 0.890, 0.852, 0.746, 0.813 and 0.774, respectively. SyMRI had certain value in distinguishing between benign and malignant breast lesions, and ADC values were still the ideal method. However, to predict the expression status of IHC markers, SyMRI had an incomparable value compared with ADC values.
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Affiliation(s)
- Xiaojun Li
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Radiology, Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China
| | - Zhichang Fan
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hongnan Jiang
- Department of Breast Surgery, Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China
| | - Jinliang Niu
- Department of Radiology, The 2nd Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wenjin Bian
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Chen Wang
- Department of Pathology, The 2nd Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ying Wang
- Department of Pathology, The 2nd Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Runmei Zhang
- Department of Radiology, The 2nd Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hui Zhang
- Department of Radiology, First Hospital of Shanxi Medical University, No. 85, South Jiefang Road, Yingze District, Taiyuan, 030001, Shanxi, China.
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Ando K, Tohme YH, Srinivasiah A, Taylor-Parker J, Harrington Y, Shah AK, Oki E, Brahmandam M, Bharti AK. Developing a Phosphospecific IHC Assay as a Predictive Biomarker for Topoisomerase I Inhibitors. J Histochem Cytochem 2018; 66:549-561. [PMID: 29587004 DOI: 10.1369/0022155418766503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Phosphorylation is the most extensively studied posttranslational modification of proteins. There are approximately 500 kinases known in the human genome. The kinase-activated pathways regulate almost every aspect of cell function and a deregulated kinase cascade leads to impaired cellular function. Impaired regulation of several kinase cascades, including the epidermal growth factor receptor (EGFR) pathway, leading to tumor pathogenesis, is well documented. Thus, a phosphospecific test with prognostic or predictive value was expected in oncology. However, no phosphospecific IHC test is used in oncology clinics. Human topoisomerase I (topoI) inhibitors, camptothecin and its analogues (CPT), are used extensively to treat various solid tumors. Depending on tumor type, the response rate is only 13-32%. We have demonstrated that the deregulated kinase cascade is at the core of CPT resistance. DNA-PKcs, a kinase central to the DNA-double-strand break (DSB) response pathway, phosphorylates topoI at serine 10 (topoI-pS10), and cells with higher basal levels of topoI-pS10 degrade topoI rapidly and are resistant to this class of drug. The higher basal level of topoI phosphorylation is due to continual activation of DNA-PKcs, and one potential mechanism of this pathway activation is failure of upstream effector phosphatases such as phosphatase and tensin homolog (PTEN). Based on this understanding, we have developed an IHC-based test (P-topoIDx) that can stratify the responder and non-responder patient population.
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Affiliation(s)
- Koji Ando
- Division of Hematology Oncology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yara Hamade Tohme
- Division of Hematology Oncology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Adithi Srinivasiah
- Division of Hematology Oncology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Julian Taylor-Parker
- Division of Hematology Oncology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Yevgeniya Harrington
- Division of Hematology Oncology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Ankur K Shah
- Division of Hematology Oncology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Eiji Oki
- Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mohan Brahmandam
- Monoclonal Antibody Core Facility, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ajit K Bharti
- Division of Hematology Oncology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
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Trapé AP, Katayama MLH, Roela RA, Brentani H, Ravacci GR, de Araujo Lima L, Brentani MM. Gene Expression Profile in Response to Doxorubicin–Rapamycin Combined Treatment of HER-2–Overexpressing Human Mammary Epithelial Cell Lines. Mol Cancer Ther 2011; 11:464-74. [DOI: 10.1158/1535-7163.mct-11-0033] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Esteva FJ, Yu D, Hung MC, Hortobagyi GN. Molecular predictors of response to trastuzumab and lapatinib in breast cancer. Nat Rev Clin Oncol 2009; 7:98-107. [DOI: 10.1038/nrclinonc.2009.216] [Citation(s) in RCA: 129] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Haynes NM, van der Most RG, Lake RA, Smyth MJ. Immunogenic anti-cancer chemotherapy as an emerging concept. Curr Opin Immunol 2008; 20:545-57. [DOI: 10.1016/j.coi.2008.05.008] [Citation(s) in RCA: 83] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2008] [Revised: 05/23/2008] [Accepted: 05/26/2008] [Indexed: 12/01/2022]
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Mandell JW. Immunohistochemical assessment of protein phosphorylation state: the dream and the reality. Histochem Cell Biol 2008; 130:465-71. [PMID: 18648845 PMCID: PMC2522329 DOI: 10.1007/s00418-008-0474-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2008] [Indexed: 12/29/2022]
Abstract
The development of phosphorylation state-specific antibodies (PSSAs) in the 1980s, and their subsequent proliferation promised to enable in situ analysis of the activation states of complex intracellular signaling networks. The extent to which this promise has been fulfilled is the topic of this review. I review some applications of PSSAs primarily in the assessment of solid tumor signaling pathway activation status. PSSAs have received considerable attention for their potential to reveal cell type-specific activation status, provide added prognostic information, aid in the prediction of response to therapy, and most recently, demonstrate the efficacy of kinase-targeted chemotherapies. However, despite some successes, many studies have failed to demonstrate added value of PSSAs over general antibody immunohistochemistry. Moreover, there is still a large degree of uncertainty about the interpretation of complex and heterogeneous staining patterns in tissue samples and their relationship to the actual phosphorylation states in vivo. The next phase of translational research in applications of PSSAs will entail the hard work of antibody validation, gathering of detailed information about epitope-specific lability, and implementation of methods for standardization.
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Affiliation(s)
- James W Mandell
- Department of Pathology, University of Virginia School of Medicine, PO Box 800904, Charlottesville, VA 22908, USA.
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