1
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Sena IFG, Rocha BGS, Picoli CC, Santos GSP, Costa AC, Gonçalves BOP, Garcia APV, Soltani-Asl M, Coimbra-Campos LMC, Silva WN, Costa PAC, Pinto MCX, Amorim JH, Azevedo VAC, Resende RR, Heller D, Cassali GD, Mintz A, Birbrair A. C(3)1-TAg in C57BL/6 J background as a model to study mammary tumor development. Histochem Cell Biol 2021; 156:165-182. [PMID: 34003355 DOI: 10.1007/s00418-021-01995-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2021] [Indexed: 02/06/2023]
Abstract
Diagnosis and prognosis of breast cancer is based on disease staging identified through histopathological and molecular biology techniques. Animal models are used to gain mechanistic insights into the development of breast cancer. C(3)1-TAg is a genetically engineered mouse model that develops mammary cancer. However, carcinogenesis caused by this transgene was characterized in the Friend Virus B (FVB) background. As most genetic studies are done in mice with C57BL/6 J background, we aimed to define the histological alterations in C3(1)-TAg C57BL/6 J animals. Our results showed that C3(1)-TAg animals with C57BL/6 J background develop solid-basaloid adenoid cystic carcinomas with increased fibrosis, decreased area of adipocytes, and a high proliferative index, which are triple-negative for progesterone, estrogen, and human epidermal growth factor receptor 2 (HER2) receptors. Our results also revealed that tumor development is slower in the C57BL/6 J background when compared with the FVB strain, providing a better model to study the different stages in breast cancer progression.
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Affiliation(s)
- Isadora F G Sena
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Beatriz G S Rocha
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Caroline C Picoli
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Gabryella S P Santos
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Alinne C Costa
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Bryan O P Gonçalves
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Ana Paula V Garcia
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Maryam Soltani-Asl
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | | | - Walison N Silva
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Pedro A C Costa
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Mauro C X Pinto
- Laboratory of Neuropharmacology and Neurochemistry, Institute of Biological Sciences, Federal University of Goiás, Goiânia, GO, Brazil
| | - Jaime H Amorim
- Center of Biological Sciences and Health, Federal University of West Bahia, Barreiras, BA, Brazil
| | - Vasco A C Azevedo
- Cellular and Molecular Genetics Laboratory, Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Rodrigo R Resende
- Department of Biochemistry and Immunology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Debora Heller
- Hospital Israelita Albert Einstein, São Paulo, Brazil.,Cruzeiro Do Sul University, São Paulo, Brazil
| | - Geovanni D Cassali
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Akiva Mintz
- Department of Radiology, Columbia University Medical Center, New York, NY, USA
| | - Alexander Birbrair
- Department of Pathology, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil. .,Department of Radiology, Columbia University Medical Center, New York, NY, USA.
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2
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Fallone CJ, Tessier AG, Field CJ, Yahya A. Resolving the omega-3 methyl resonance with long echo time magnetic resonance spectroscopy in mouse adipose tissue at 9.4 T. NMR IN BIOMEDICINE 2021; 34:e4455. [PMID: 33269481 DOI: 10.1002/nbm.4455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 10/27/2020] [Accepted: 11/11/2020] [Indexed: 06/12/2023]
Abstract
Tissue omega-3 (ω-3) content is biologically important to disease; however, its quantification with magnetic resonance spectroscopy in vivo is challenging due to its low concentration. In addition, the ω-3 methyl resonance (≈ 0.98 ppm) overlaps that of the non-ω-3 (≈ 0.90 ppm), even at 9.4 T. We demonstrate that a Point-RESolved Spectroscopy (PRESS) sequence with an echo time (TE) of 109 ms resolves the ω-3 and non-ω-3 methyl peaks at 9.4 T. Sequence efficacy was verified on five oils with differing ω-3 fat content; the ω-3 content obtained correlated with that measured using 16.5 T NMR (R2 = 0.97). The PRESS sequence was also applied to measure ω-3 content in visceral adipose tissue of three different groups (all n = 3) of mice, each of which were fed a different 20% w/w fat diet. The fat portion of the diet consisted of low (1.4%), medium (9.0%) or high (16.4%) ω-3 fat. The sequence was also applied to a control mouse fed a standard chow diet (5.6% w/w fat, which was 5.9% ω-3). Gas chromatography (GC) analysis of excised tissue was performed for each mouse. The ω-3 fat content obtained with the PRESS sequence correlated with the GC measures (R2 = 0.96). Apparent T2 times of methyl protons were assessed by obtaining spectra from the oils and another group of four mice (fed the high ω-3 diet) with TE values of 109 and 399 ms. Peak areas were fit to a mono-exponentially decaying function and the apparent T2 values of the ω-3 and non-ω-3 methyl protons were 906 ± 148 and 398 ± 78 ms, respectively, in the oils. In mice, the values were 410 ± 68 and 283 ± 57 ms for ω-3 and non-ω-3 fats, respectively.
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Affiliation(s)
- Clara J Fallone
- Department of Oncology, University of Alberta, Edmonton, Alberta, Canada
| | - Anthony G Tessier
- Department of Oncology, University of Alberta, Edmonton, Alberta, Canada
- Department of Medical Physics, Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Catherine J Field
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Atiyah Yahya
- Department of Oncology, University of Alberta, Edmonton, Alberta, Canada
- Department of Medical Physics, Cross Cancer Institute, Edmonton, Alberta, Canada
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3
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Hazzaa SM, Eldaim MAA, Fouda AA, Mohamed ASED, Soliman MM, Elgizawy EI. Intermittent Fasting Ameliorated High-Fat Diet-Induced Memory Impairment in Rats via Reducing Oxidative Stress and Glial Fibrillary Acidic Protein Expression in Brain. Nutrients 2020; 13:nu13010010. [PMID: 33375195 PMCID: PMC7822208 DOI: 10.3390/nu13010010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 12/18/2020] [Accepted: 12/18/2020] [Indexed: 12/21/2022] Open
Abstract
Intermittent fasting (IF) plays an important role in the protection against metabolic syndrome-induced memory defects. This study aimed to assess the protective effects of both prophylactic and curative IF against high-fat diet (HFD)-induced memory defects in rats. The control group received a normal diet; the second group received a HFD; the third group was fed a HFD for 12 weeks and subjected to IF during the last four weeks (curative IF); the fourth group was fed a HFD and subjected to IF simultaneously (prophylactic IF). A high-fat diet significantly increased body weight, serum lipids levels, malondialdehyde (MDA) concentration, glial fibrillary acidic protein (GFAP) and H score in brain tissue and altered memory performance. In addition, it significantly decreased reduced glutathione (GSH) concentration in brain tissue and viability and thickness of pyramidal and hippocampus granular cell layers. However, both types of IF significantly decreased body weight, serum lipids, GFAP protein expression and H score and MDA concentration in brain tissue, and improved memory performance, while it significantly increased GSH concentration in brain tissue, viability, and thickness of pyramidal and granular cell layers of the hippocampus. This study indicated that IF ameliorated HFD-induced memory disturbance and brain tissue damage and the prophylactic IF was more potent than curative IF.
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Affiliation(s)
- Suzan M. Hazzaa
- Medical Physiology Department, Faculty of Medicine, Menoufia University, Shebeen Elkom 32511, Egypt; (S.M.H.); (E.I.E.)
| | - Mabrouk A. Abd Eldaim
- Department of Biochemistry and Chemistry of Nutrition, Faculty of Veterinary, Medicine, Menoufia University, Shebeen Elkom 32511, Egypt
- Correspondence:
| | - Amira A. Fouda
- Pathology Department, Faculty of Medicine, Menoufia University, Shebeen Elkom 32511, Egypt; (A.A.F.); (A.S.E.D.M.)
| | - Asmaa Shams El Dein Mohamed
- Pathology Department, Faculty of Medicine, Menoufia University, Shebeen Elkom 32511, Egypt; (A.A.F.); (A.S.E.D.M.)
| | - Mohamed Mohamed Soliman
- Clinical Laboratory Sciences Department, Turabah University College, Taif University, Taif 21995, Saudi Arabia;
- Biochemistry Department, Faculty of Veterinary Medicine, Benha University, Benha 13736, Egypt
| | - Eman I. Elgizawy
- Medical Physiology Department, Faculty of Medicine, Menoufia University, Shebeen Elkom 32511, Egypt; (S.M.H.); (E.I.E.)
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4
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Mustafi D, Valek R, Fitch M, Werner V, Fan X, Markiewicz E, Fernandez S, Zamora M, Mueller J, Olopade OI, Conzen SD, Brady MJ, Karczmar GS. Magnetic resonance angiography reveals increased arterial blood supply and tumorigenesis following high fat feeding in a mouse model of triple-negative breast cancer. NMR IN BIOMEDICINE 2020; 33:e4363. [PMID: 32881124 PMCID: PMC8034829 DOI: 10.1002/nbm.4363] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 06/08/2020] [Accepted: 06/09/2020] [Indexed: 06/11/2023]
Abstract
Breast cancer is the second most commonly diagnosed malignancy among women globally. Past MRI studies have linked a high animal fat diet (HAFD) to increased mammary cancer risk in the SV40Tag mouse model of triple-negative breast cancer. Here, serial MRI examines tumor progression and measures the arterial blood volume feeding mammary glands in low fat diet (LFD) or HAFD fed mice. Virgin female C3(1)SV40Tag mice (n = 8), weaned at 3 weeks old, were assigned to an LFD (n = 4, 3.7 kcal/g, 17.2% kcal from vegetable oil) or an HAFD (n = 4, 5.3 kcal/g, 60% kcal from lard) group. From ages 8 to 12 weeks, weekly fast spin echo MR images and time-of-flight (TOF) MR angiography of inguinal mammary glands were acquired at 9.4 T. Following in vivo MRI, mice were sacrificed. Inguinal mammary glands were excised and fixed for ex vivo MRI and histology. Tumor, blood, and mammary gland volumes for each time point were measured from manually traced regions of interest; tumors were classified as invasive by histopathology-blinded observers. Our analysis confirmed a strong correlation between total tumor volume and blood volume in the mammary gland. Tumor growth rates from weeks 8-12 were twice as high in HAFD-fed mice (0.42 ± 0.14/week) as in LFD-fed mice (0.21 ± 0.03/week), p < 0.004. Mammary gland blood volume growth rate was 2.2 times higher in HAFD mice (0.29 ± 0.11/week) compared with LFD mice (0.13 ± 0.06/week), p < 0.02. The mammary gland growth rate of HAFD-fed mice (0.071 ± 0.011/week) was 2.7 times larger than that of LFD-fed mice (0.026 ± 0.009/week), p < 0.01. This is the first non-invasive, in vivo MRI study to demonstrate a strong correlation between an HAFD and increased cancer burden and blood volume in mammary cancer without using contrast agents, strengthening the evidence supporting the adverse effects of an HAFD on mammary cancer. These results support the potential future use of TOF angiography to evaluate vasculature of suspicious lesions.
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Affiliation(s)
- Devkumar Mustafi
- Department of Radiology, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
| | - Rebecca Valek
- Department of Radiology, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
| | - Michael Fitch
- Department of Radiology, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
| | - Victoria Werner
- Department of Radiology, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
| | - Xiaobing Fan
- Department of Radiology, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
| | - Erica Markiewicz
- Department of Radiology, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
| | - Sully Fernandez
- Department of Medicine, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
| | - Marta Zamora
- Department of Radiology, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
| | - Jeffrey Mueller
- Department of Pathology, Section of Hematology and Oncology, The University of Chicago, Chicago, Illinois 6063
| | - Olufunmilayo I. Olopade
- Department of Medicine, Section of Hematology and Oncology, The University of Chicago, Chicago, Illinois 6063
| | - Suzanne D. Conzen
- Department of Medicine, Section of Hematology and Oncology, The University of Chicago, Chicago, Illinois 6063
| | - Matthew J. Brady
- Department of Medicine, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
| | - Gregory S. Karczmar
- Department of Radiology, Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism
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5
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He Z, Chen Z, Tan M, Elingarami S, Liu Y, Li T, Deng Y, He N, Li S, Fu J, Li W. A review on methods for diagnosis of breast cancer cells and tissues. Cell Prolif 2020; 53:e12822. [PMID: 32530560 PMCID: PMC7377933 DOI: 10.1111/cpr.12822] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/10/2020] [Accepted: 03/30/2020] [Indexed: 02/06/2023] Open
Abstract
Breast cancer has seriously been threatening physical and mental health of women in the world, and its morbidity and mortality also show clearly upward trend in China over time. Through inquiry, we find that survival rate of patients with early‐stage breast cancer is significantly higher than those with middle‐ and late‐stage breast cancer, hence, it is essential to conduct research to quickly diagnose breast cancer. Until now, many methods for diagnosing breast cancer have been developed, mainly based on imaging and molecular biotechnology examination. These methods have great contributions in screening and confirmation of breast cancer. In this review article, we introduce and elaborate the advances of these methods, and then conclude some gold standard diagnostic methods for certain breast cancer patients. We lastly discuss how to choose the most suitable diagnostic methods for breast cancer patients. In general, this article not only summarizes application and development of these diagnostic methods, but also provides the guidance for researchers who work on diagnosis of breast cancer.
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Affiliation(s)
- Ziyu He
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Zhu Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.,State Key Laboratory of Bioelectronics, School of Biological and Medical Engineering, Southeast University, Nanjing, China
| | - Miduo Tan
- Surgery Department of Galactophore, Central Hospital of Zhuzhou City, Zhuzhou, China
| | - Sauli Elingarami
- School of Life Sciences and Bioengineering (LiSBE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania
| | - Yuan Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.,State Key Laboratory of Bioelectronics, School of Biological and Medical Engineering, Southeast University, Nanjing, China
| | - Taotao Li
- Hunan Provincial Key Lab of Dark Tea and Jin-hua, School of Materials and Chemical Engineering, Hunan City University, Yiyang, China
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Nongyue He
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.,State Key Laboratory of Bioelectronics, School of Biological and Medical Engineering, Southeast University, Nanjing, China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Juan Fu
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Wen Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
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6
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Wang T, Chen P, Bian D, Xiao E, Li D. Correlations of PPARα and PPARγ expressions with 1H-MRS quantified hepatic fat content in pups of rats that experienced intrauterine growth restriction. J Matern Fetal Neonatal Med 2019; 34:606-613. [PMID: 31068026 DOI: 10.1080/14767058.2019.1611766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Background: Proton magnetic resonance spectroscopy (1H-MRS) measurement of hepatic fat content in intrauterine growth restriction rats has rarely been reported. This study was to explore the association of peroxisome proliferator-activated receptor alpha and gamma (PPARα and PPARγ) expression with 1H-MRS quantified hepatic fat content in offspring of rats that experienced intrauterine growth restriction (IUGR).Methods and findings: IUGR was established by feeding a low-protein diet to female rats during pregnancy. Male pups of IUGR rats were weighed, liver tissues were collected at the ages of 1 day and 1, 3, 8 and 12 weeks post birth. Visceral adipose tissues (VATs) were collected at 3, 8, and 12 weeks post birth. Male pups also received conventional magnetic resonance imaging and 1H-MRS using a 3.0 T whole-body MR scanner at 3, 8, and 12 weeks post birth. The peak area ratios in the MR spectra were calculated to determine hepatic lipid content. The expression of PPARα protein was detected by Western blot. The expression of PPARα mRNA was measured by real-time quantitative PCR. Significantly lower PPARα protein and mRNA expression were observed in liver tissues of male pups of IUGR rats at 1 day and 1, 3, 8, and 12 weeks post birth compared to male pups of control rats. In contrast, significantly higher PPARγ protein and mRNA expression were observed in VATs of male pups of IUGR rats at 3, 8, and 12 weeks post birth compared to male pups of control rats. PPARα protein and mRNA expression in the liver negatively correlated with the hepatic fat content (r = -0.611, -0.607, respectively), whereas PPARγ protein and mRNA expression in VATs positively correlated with the hepatic fat content (r = 0.659, 0.668, respectively).Conclusion: 1H-MRS allows noninvasive assessment of hepatic fat content in rats. PPARα protein and mRNA expression were significantly decreased in the livers of rats, whereas PPARγ protein and mRNA expression was significantly increased in VATs in pups of IUGR rats.
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Affiliation(s)
- Tao Wang
- Division of Neonatology, Department of Pediatrics, Children's Medical Center, Second Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Pingyang Chen
- Division of Neonatology, Department of Pediatrics, Children's Medical Center, Second Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Dujun Bian
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Enhua Xiao
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Dan Li
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
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7
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Thakur SB, Horvat JV, Hancu I, Sutton OM, Bernard-Davila B, Weber M, Oh JH, Marino MA, Avendano D, Leithner D, Brennan S, Giri D, Manderski E, Morris EA, Pinker K. Quantitative in vivo proton MR spectroscopic assessment of lipid metabolism: Value for breast cancer diagnosis and prognosis. J Magn Reson Imaging 2019; 50:239-249. [PMID: 30605266 DOI: 10.1002/jmri.26622] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 12/04/2018] [Accepted: 12/05/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Breast magnetic resonance spectroscopy (1 H-MRS) has been largely based on choline metabolites; however, other relevant metabolites can be detected and monitored. PURPOSE To investigate whether lipid metabolite concentrations detected with 1 H-MRS can be used for the noninvasive differentiation of benign and malignant breast tumors, differentiation among molecular breast cancer subtypes, and prediction of long-term survival outcomes. STUDY TYPE Retrospective. SUBJECTS In all, 168 women, aged ≥18 years. FIELD STRENGTH/SEQUENCE Dynamic contrast-enhanced MRI at 1.5 T: sagittal 3D spoiled gradient recalled sequence with fat saturation, flip angle = 10°, repetition time / echo time (TR/TE) = 7.4/4.2 msec, slice thickness = 3.0 mm, field of view (FOV) = 20 cm, and matrix size = 256 × 192. 1 H-MRS: PRESS with TR/TE = 2000/135 msec, water suppression, and 128 scan averages, in addition to 16 reference scans without water suppression. ASSESSMENT MRS quantitative analysis of lipid resonances using the LCModel was performed. Histopathology was the reference standard. STATISTICAL TESTS Categorical data were described using absolute numbers and percentages. For metric data, means (plus 95% confidence interval [CI]) and standard deviations as well as median, minimum, and maximum were calculated. Due to skewed data, the latter were more adequate; unpaired Mann-Whitney U-tests were performed to compare groups without and with Bonferroni correction. ROC analyses were also performed. RESULTS There were 111 malignant and 57 benign lesions. Mean voxel size was 4.4 ± 4.6 cm3 . Six lipid metabolite peaks were quantified: L09, L13 + L16, L21 + L23, L28, L41 + L43, and L52 + L53. Malignant lesions showed lower L09, L21 + L23, and L52 + L53 than benign lesions (P = 0.022, 0.027, and 0.0006). Similar results were observed for Luminal A or Luminal A/B vs. other molecular subtypes. At follow-up, patients were split into two groups based on median values for the six peaks; recurrence-free survival was significantly different between groups for L09, L21 + L23, and L28 (P = 0.0173, 0.0024, and 0.0045). DATA CONCLUSION Quantitative in vivo 1 H-MRS assessment of lipid metabolism may provide an additional noninvasive imaging biomarker to guide therapeutic decisions in breast cancer. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:239-249.
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Affiliation(s)
- Sunitha B Thakur
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Joao V Horvat
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | | | - Olivia M Sutton
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Weill Cornell University, New York, New York, USA
| | - Blanca Bernard-Davila
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Michael Weber
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Maria Adele Marino
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Biomedical Sciences and Morphologic and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Italy
| | - Daly Avendano
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Breast Imaging, Breast Cancer Center TecSalud, ITESM Monterrey, Nuevo Leon, Mexico
| | - Doris Leithner
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Sandra Brennan
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Dilip Giri
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Elizabeth Manderski
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Elizabeth A Morris
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Katja Pinker
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
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