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Boers J, Eisses B, Zwager MC, van Geel JJL, Bensch F, de Vries EFJ, Hospers GAP, Glaudemans AWJM, Brouwers AH, den Dekker MAM, Elias SG, Kuip EJM, van Herpen CML, Jager A, van der Veldt AAM, Oprea-Lager DE, de Vries EGE, van der Vegt B, Menke-van der Houven van Oordt WC, Schröder CP. Correlation between Histopathological Prognostic Tumor Characteristics and [ 18F]FDG Uptake in Corresponding Metastases in Newly Diagnosed Metastatic Breast Cancer. Diagnostics (Basel) 2024; 14:416. [PMID: 38396455 PMCID: PMC10887896 DOI: 10.3390/diagnostics14040416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND In metastatic breast cancer (MBC), [18F]fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG-PET/CT) can be used for staging. We evaluated the correlation between BC histopathological characteristics and [18F]FDG uptake in corresponding metastases. PATIENTS AND METHODS Patients with non-rapidly progressive MBC of all subtypes prospectively underwent a baseline histological metastasis biopsy and [18F]FDG-PET. Biopsies were assessed for estrogen, progesterone, and human epidermal growth factor receptor 2 (ER, PR, HER2); Ki-67; and histological subtype. [18F]FDG uptake was expressed as maximum standardized uptake value (SUVmax) and results were expressed as geometric means. RESULTS Of 200 patients, 188 had evaluable metastasis biopsies, and 182 of these contained tumor. HER2 positivity and Ki-67 ≥ 20% were correlated with higher [18F]FDG uptake (estimated geometric mean SUVmax 10.0 and 8.8, respectively; p = 0.0064 and p = 0.014). [18F]FDG uptake was lowest in ER-positive/HER2-negative BC and highest in HER2-positive BC (geometric mean SUVmax 6.8 and 10.0, respectively; p = 0.0058). Although [18F]FDG uptake was lower in invasive lobular carcinoma (n = 31) than invasive carcinoma NST (n = 146) (estimated geometric mean SUVmax 5.8 versus 7.8; p = 0.014), the metastasis detection rate was similar. CONCLUSIONS [18F]FDG-PET is a powerful tool to detect metastases, including invasive lobular carcinoma. Although BC histopathological characteristics are related to [18F]FDG uptake, [18F]FDG-PET and biopsy remain complementary in MBC staging (NCT01957332).
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Affiliation(s)
- Jorianne Boers
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Bertha Eisses
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Mieke C. Zwager
- Department of Pathology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (M.C.Z.); (B.v.d.V.)
| | - Jasper J. L. van Geel
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Frederike Bensch
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Erik F. J. de Vries
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (E.F.J.d.V.); (A.W.J.M.G.); (A.H.B.)
| | - Geke A. P. Hospers
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Andor W. J. M. Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (E.F.J.d.V.); (A.W.J.M.G.); (A.H.B.)
| | - Adrienne H. Brouwers
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (E.F.J.d.V.); (A.W.J.M.G.); (A.H.B.)
| | - Martijn A. M. den Dekker
- Department of Radiology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands;
| | - Sjoerd G. Elias
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 Utrecht, The Netherlands;
| | - Evelien J. M. Kuip
- Department of Medical Oncology, Radboud Medical Center, 6500 Nijmegen, The Netherlands; (E.J.M.K.); (C.M.L.v.H.)
| | - Carla M. L. van Herpen
- Department of Medical Oncology, Radboud Medical Center, 6500 Nijmegen, The Netherlands; (E.J.M.K.); (C.M.L.v.H.)
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 Rotterdam, The Netherlands; (A.J.); (A.A.M.v.d.V.)
| | - Astrid A. M. van der Veldt
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 Rotterdam, The Netherlands; (A.J.); (A.A.M.v.d.V.)
| | - Daniela E. Oprea-Lager
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VU University Medical Center, 1081 Amsterdam, The Netherlands;
| | - Elisabeth G. E. de Vries
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Bert van der Vegt
- Department of Pathology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (M.C.Z.); (B.v.d.V.)
| | | | - Carolina P. Schröder
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
- Department of Medical Oncology, Dutch Cancer Institute, 1066 Amsterdam, The Netherlands
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Castorina L, Comis AD, Prestifilippo A, Quartuccio N, Panareo S, Filippi L, Castorina S, Giuffrida D. Innovations in Positron Emission Tomography and State of the Art in the Evaluation of Breast Cancer Treatment Response. J Clin Med 2023; 13:154. [PMID: 38202160 PMCID: PMC10779934 DOI: 10.3390/jcm13010154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/14/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024] Open
Abstract
The advent of hybrid Positron Emission Tomography/Computed Tomography (PET/CT) and PET/Magnetic Resonance Imaging (MRI) scanners resulted in an increased clinical relevance of nuclear medicine in oncology. The use of [18F]-Fluorodeoxyglucose ([18F]FDG) has also made it possible to study tumors (including breast cancer) from not only a dimensional perspective but also from a metabolic point of view. In particular, the use of [18F]FDG PET allowed early confirmation of the efficacy or failure of therapy. The purpose of this review was to assess the literature concerning the response to various therapies for different subtypes of breast cancer through PET. We start by summarizing studies that investigate the validation of PET/CT for the assessment of the response to therapy in breast cancer; then, we present studies that compare PET imaging (including PET devices dedicated to the breast) with CT and MRI, focusing on the identification of the most useful parameters obtainable from PET/CT. We also focus on novel non-FDG radiotracers, as they allow for the acquisition of information on specific aspects of the new therapies.
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Affiliation(s)
- Luigi Castorina
- Nuclear Medicine Outpatient Unit, REM Radiotherapy Srl, Via Penninanzzo 11, 95029 Viagrande, Italy;
| | - Alessio Danilo Comis
- Nuclear Medicine Outpatient Unit, REM Radiotherapy Srl, Via Penninanzzo 11, 95029 Viagrande, Italy;
| | - Angela Prestifilippo
- Department of Oncology, IOM Mediterranean Oncology Institute, Via Penninanzzo 7, 95029 Viagrande, Italy; (A.P.); (D.G.)
| | - Natale Quartuccio
- Nuclear Medicine Unit, Ospedali Riuniti Villa Sofia-Cervello, 90146 Palermo, Italy;
| | - Stefano Panareo
- Nuclear Medicine Unit, Oncology and Haematology Department, University Hospital of Modena, 41124 Modena, Italy;
| | - Luca Filippi
- Nuclear Medicine Unit, Department of Oncohaematology, Fondazione PTV Policlinico Tor Vergata University Hospital, Viale Oxford 81, 00133 Rome, Italy;
| | - Serena Castorina
- Nuclear Medicine Unit, Azienda Ospedaliero Universitaria Policlinico “G. Rodolico-San Marco”, 95123 Catania, Italy
| | - Dario Giuffrida
- Department of Oncology, IOM Mediterranean Oncology Institute, Via Penninanzzo 7, 95029 Viagrande, Italy; (A.P.); (D.G.)
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Zhang J, Liu Y, Fan H, Wang W, Shao W, Cao G, Shi X. Prediction of Clinical Molecular Typing of Breast Invasive Ductal Carcinoma Using 18F-FDG PET/CT Dual-Phase Imaging. Acad Radiol 2023; 30 Suppl 2:S82-S92. [PMID: 36624021 DOI: 10.1016/j.acra.2022.12.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/18/2022] [Accepted: 12/21/2022] [Indexed: 01/09/2023]
Abstract
RATIONALE AND OBJECTIVES To investigate the diagnostic value of Fluorine-18-labeled 2-fluoro-2-deoxy-D-glucose positron emission tomography and computed tomography (18F-FDG PET/CT) dual-phase imaging for the different molecular subtypes of invasive ductal carcinoma of the breast. MATERIALS AND METHODS Clinical imaging data of 164 women with invasive ductal carcinoma of the breast confirmed by pathology who underwent 18F-FDG PET/CT dual-phase imaging were retrospectively analyzed. The maximum standard uptake values (SUVmax) of the early and delayed phases of the lesion were measured and recorded as SUVmax1 and SUVmax2, respectively, and the retention index (RI) was calculated. We analyzed the change rule of SUVmax1, SUVmax2, and RI for the different molecular subtypes and molecular marker expression groups. The diagnostic threshold of different molecular marker expression status was determined using receiver operating characteristic curve analysis. RESULTS SUVmax1 and SUVmax2 were highest in the TNBC group and lowest in the luminal A group (p<0.001). TNBC and HER2 overexpression groups had higher RI than the luminal A and B groups (p<0.001), with no significant difference between the TNBC and HER2 overexpression groups or between the luminal A and B groups (p=0.640 and 0.345, respectively). The ER- and PR-negative groups had significantly higher SUVmax1, SUVmax2, and RI than the PR-positive group (p<0.001). The HER2-positive group had higher SUVmax1 and SUVmax2 than the negative group (p<0.001). The Ki67 overexpression group had higher SUVmax1 and SUVmax2 levels than the low expression group (p<0.001). There was no significant difference in RI between HER2-positive and negative groups or between Ki67 high and low expression groups (p=0.904 and 0.216, respectively). For ER-negative and positive expression status, the maximum area under the curve (AUC) of SUVmax2 was 0.852, diagnostic threshold was 10.87, sensitivity was 79.6%, and specificity was 74.5%. For PR-negative and positive expression status, the AUC of SUVmax2 was 0.858, diagnostic threshold was 10.45, sensitivity was 83.1%, and specificity was 75.3%. For HER2-negative and positive expression status, the AUC of SUVmax1 was 0.714, diagnostic threshold was 9.28, sensitivity was 79.6%, and specificity was 60.9%. For Ki67 high- and low expression status, the AUC of SUVmax2 was 0.915 at maximum, diagnostic threshold was 10.21, sensitivity was 83.4%, and specificity was 93.9%. CONCLUSION 18F-FDG PET/CT dual-phase imaging facilitates the prediction of the expression of molecular markers and subtypes of invasive ductal carcinoma of the breast and the development of more tailored treatment plans for patients with this disease.
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Affiliation(s)
- Jiangong Zhang
- Department of Nuclear Medicine, The First people's Hospital of Yancheng, The Fourth Affiliated Hospital of Nantong University, Yancheng, Jiangsu, P.R. China
| | - Yongbo Liu
- Department of radiology, Peking University Care Lu'an Hospital, Changzhi, P.R. China
| | - Huiwen Fan
- Department of Breast surgery, The First people's Hospital of Yancheng, The Fourth Affiliated Hospital of Nantong University, Yancheng, Jiangsu, P.R. China
| | - Wei Wang
- Department of Nuclear Medicine, The First people's Hospital of Yancheng, The Fourth Affiliated Hospital of Nantong University, Yancheng, Jiangsu, P.R. China
| | - Weiwei Shao
- Department of Pathology Department, The First people's Hospital of Yancheng, The Fourth Affiliated Hospital of Nantong University, Yancheng, Jiangsu, P.R. China
| | - Gang Cao
- Department of radiology, Peking University Care Lu'an Hospital, Changzhi, P.R. China
| | - Xun Shi
- Department of Nuclear Medicine, The First people's Hospital of Yancheng, The Fourth Affiliated Hospital of Nantong University, Yancheng, Jiangsu, P.R. China.
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Quartuccio N, Alongi P, Urso L, Ortolan N, Borgia F, Bartolomei M, Arnone G, Evangelista L. 18F-FDG PET-Derived Volume-Based Parameters to Predict Disease-Free Survival in Patients with Grade III Breast Cancer of Different Molecular Subtypes Candidates to Neoadjuvant Chemotherapy. Cancers (Basel) 2023; 15:2715. [PMID: 37345052 DOI: 10.3390/cancers15102715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 05/02/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
We investigated whether baseline [18F] Fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)-derived semiquantitative parameters could predict disease-free survival (DFS) in patients with grade III breast cancer (BC) of different molecular subtypes candidate to neoadjuvant chemotherapy (NAC). For each 18F-FDG-PET/CT scan, the following parameters were calculated in the primary tumor (SUVmax, SUVmean, MTV, TLG) and whole-body (WB_SUVmax, WB_MTV, and WB_TLG). Receiver operating characteristic (ROC) analysis was used to determine the capability to predict DFS and find the optimal threshold for each parameter. Ninety-five grade III breast cancer patients with different molecular types were retrieved from the databases of the University Hospital of Padua and the University Hospital of Ferrara (luminal A: 5; luminal B: 34; luminal B-HER2: 22; HER2-enriched: 7; triple-negative: 27). In luminal B patients, WB_MTV (AUC: 0.75; best cut-off: WB_MTV > 195.33; SS: 55.56%, SP: 100%; p = 0.002) and WB_TLG (AUC: 0.73; best cut-off: WB_TLG > 1066.21; SS: 55.56%, SP: 100%; p = 0.05) were the best predictors of DFS. In luminal B-HER2 patients, WB_SUVmax was the only predictor of DFS (AUC: 0.857; best cut-off: WB_SUVmax > 13.12; SS: 100%; SP: 71.43%; p < 0.001). No parameter significantly affected the prediction of DFS in patients with grade III triple-negative BC. Volume-based parameters, extracted from baseline 18F-FDG PET, seem promising in predicting recurrence in patients with grade III luminal B and luminal B- HER2 breast cancer undergoing NAC.
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Affiliation(s)
- Natale Quartuccio
- Nuclear Medicine Unit, Ospedali Riuniti Villa Sofia-Cervello, 90144 Palermo, Italy
- Nuclear Medicine Unit, A.R.N.A.S. Ospedali Civico, Di Cristina e Benfratelli, 90127 Palermo, Italy
| | - Pierpaolo Alongi
- Nuclear Medicine Unit, A.R.N.A.S. Ospedali Civico, Di Cristina e Benfratelli, 90127 Palermo, Italy
| | - Luca Urso
- Nuclear Medicine Unit, Oncological Medical and Specialist Department, University Hospital of Ferrara, 44124 Cona, Italy
| | - Naima Ortolan
- Nuclear Medicine Unit, Oncological Medical and Specialist Department, University Hospital of Ferrara, 44124 Cona, Italy
| | - Francesca Borgia
- Nuclear Medicine Unit, Oncological Medical and Specialist Department, University Hospital of Ferrara, 44124 Cona, Italy
| | - Mirco Bartolomei
- Nuclear Medicine Unit, Oncological Medical and Specialist Department, University Hospital of Ferrara, 44124 Cona, Italy
| | - Gaspare Arnone
- Nuclear Medicine Unit, A.R.N.A.S. Ospedali Civico, Di Cristina e Benfratelli, 90127 Palermo, Italy
| | - Laura Evangelista
- Department of Medicine DIMED, University of Padua, 35128 Padua, Italy
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de Mooij CM, Ploumen RAW, Nelemans PJ, Mottaghy FM, Smidt ML, van Nijnatten TJA. The influence of receptor expression and clinical subtypes on baseline [18F]FDG uptake in breast cancer: systematic review and meta-analysis. EJNMMI Res 2023; 13:5. [PMID: 36689007 PMCID: PMC9871105 DOI: 10.1186/s13550-023-00953-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/11/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND To quantify the relationship between [18F]FDG uptake of the primary tumour measured by PET-imaging with immunohistochemical (IHC) expression of ER, PR, HER2, Ki-67, and clinical subtypes based on these markers in breast cancer patients. METHODS PubMed and Embase were searched for studies that compared SUVmax between breast cancer patients negative and positive for IHC expression of ER, PR, HER2, Ki-67, and clinical subtypes based on these markers. Two reviewers independently screened the studies and extracted the data. Standardized mean differences (SMD) and 95% confidence intervals (CIs) were estimated by using DerSimonian-Laird random-effects models. P values less than or equal to 5% indicated statistically significant results. RESULTS Fifty studies were included in the final analysis. SUVmax is significantly higher in ER-negative (31 studies, SMD 0.66, 0.56-0.77, P < 0.0001), PR-negative (30 studies, SMD 0.56; 0.40-0.71, P < 0.0001), HER2-positive (32 studies, SMD - 0.29, - 0.49 to - 0.10, P = 0.0043) or Ki-67-positive (19 studies, SMD - 0.77; - 0.93 to - 0.61, P < 0.0001) primary tumours compared to their counterparts. The majority of clinical subtypes were either luminal A (LA), luminal B (LB), HER2-positive or triple negative breast cancer (TNBC). LA is associated with significantly lower SUVmax compared to LB (11 studies, SMD - 0.49, - 0.68 to - 0.31, P = 0.0001), HER2-positive (15 studies, SMD - 0.91, - 1.21 to - 0.61, P < 0.0001) and TNBC (17 studies, SMD - 1.21, - 1.57 to - 0.85, P < 0.0001); and LB showed significantly lower uptake compared to TNBC (10 studies, SMD - 0.77, - 1.05 to - 0.49, P = 0.0002). Differences in SUVmax between LB and HER2-positive (9 studies, SMD - 0.32, - 0.88 to 0.24, P = 0.2244), and HER2-positive and TNBC (17 studies, SMD - 0.29, - 0.61 to 0.02, P = 0.0667) are not significant. CONCLUSION Primary tumour SUVmax is significantly higher in ER-negative, PR-negative, HER2-positive and Ki-67-positive breast cancer patients. Luminal tumours have the lowest and TNBC tumours the highest SUVmax. HER2 overexpression has an intermediate effect.
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Affiliation(s)
- Cornelis M de Mooij
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
- Department of Surgery, Maastricht University Medical Centre+, Maastricht, The Netherlands.
- GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.
| | - Roxanne A W Ploumen
- Department of Surgery, Maastricht University Medical Centre+, Maastricht, The Netherlands
- GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Patty J Nelemans
- Department of Epidemiology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Felix M Mottaghy
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Nuclear Medicine, University Hospital RWTH Aachen University, Aachen, Germany
| | - Marjolein L Smidt
- Department of Surgery, Maastricht University Medical Centre+, Maastricht, The Netherlands
- GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Thiemo J A van Nijnatten
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Schreier A, Zappasodi R, Serganova I, Brown KA, Demaria S, Andreopoulou E. Facts and Perspectives: Implications of tumor glycolysis on immunotherapy response in triple negative breast cancer. Front Oncol 2023; 12:1061789. [PMID: 36703796 PMCID: PMC9872136 DOI: 10.3389/fonc.2022.1061789] [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: 10/05/2022] [Accepted: 11/17/2022] [Indexed: 01/11/2023] Open
Abstract
Triple negative breast cancer (TNBC) is an aggressive disease that is difficult to treat and portends a poor prognosis in many patients. Recent efforts to implement immune checkpoint inhibitors into the treatment landscape of TNBC have led to improved outcomes in a subset of patients both in the early stage and metastatic settings. However, a large portion of patients with TNBC remain resistant to immune checkpoint inhibitors and have limited treatment options beyond cytotoxic chemotherapy. The interplay between the anti-tumor immune response and tumor metabolism contributes to immunotherapy response in the preclinical setting, and likely in the clinical setting as well. Specifically, tumor glycolysis and lactate production influence the tumor immune microenvironment through creation of metabolic competition with infiltrating immune cells, which impacts response to immune checkpoint blockade. In this review, we will focus on how glucose metabolism within TNBC tumors influences the response to immune checkpoint blockade and potential ways of harnessing this information to improve clinical outcomes.
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Affiliation(s)
- Ashley Schreier
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York Presbyterian Hospital, New York, NY, United States
| | - Roberta Zappasodi
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States,Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY, United States,Parker Institute for Cancer Immunotherapy, San Francisco, CA, United States
| | - Inna Serganova
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States,Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Kristy A. Brown
- Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Sandra Demaria
- Department of Radiation Oncology and Department of Pathology, Weill Cornell Medicine, New York, NY, United States
| | - Eleni Andreopoulou
- Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York Presbyterian Hospital, New York, NY, United States,*Correspondence: Eleni Andreopoulou,
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Kawaguchi S, Tamura N, Tanaka K, Kobayashi Y, Sato J, Kinowaki K, Shiiba M, Ishihara M, Kawabata H. Clinical prediction model based on 18F-FDG PET/CT plus contrast-enhanced MRI for axillary lymph node macrometastasis. Front Oncol 2022; 12:989650. [PMID: 36176414 PMCID: PMC9513385 DOI: 10.3389/fonc.2022.989650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 08/23/2022] [Indexed: 11/15/2022] Open
Abstract
Purpose Positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (MRI) are useful for detecting axillary lymph node (ALN) metastasis in invasive ductal breast cancer (IDC); however, there is limited clinical evidence to demonstrate the effectiveness of the combination of PET/CT plus MRI. Further axillary surgery is not recommended against ALN micrometastasis (lesion ≤2 mm) seen in sentinel lymph nodes, especially for patients who received proper adjuvant therapy. We aimed to evaluate the efficacy of a prediction model based on PET/CT plus MRI for ALN macrometastasis (lesion >2 mm) and explore the possibility of risk stratification of patients using the preoperative PET/CT plus MRI and biopsy findings. Materials and methods We retrospectively investigated 361 female patients (370 axillae; mean age, 56 years ± 12 [standard deviation]) who underwent surgery for primary IDC at a single center between April 2017 and March 2020. We constructed a prediction model with logistic regression. Patients were divided into low-risk and high-risk groups using a simple integer risk score, and the false negative rate for ALN macrometastasis was calculated to assess the validity. Internal validation was also achieved using a 5-fold cross-validation. Results The PET/CT plus MRI model included five predictor variables: maximum standardized uptake value of primary tumor and ALN, primary tumor size, ALN cortical thickness, and histological grade. In the derivation (296 axillae) and validation (74 axillae) cohorts, 54% and 61% of patients, respectively, were classified as low-risk, with a false-negative rate of 11%. Five-fold cross-validation yielded an accuracy of 0.875. Conclusions Our findings demonstrate the validity of the PET/CT plus MRI prediction model for ALN macrometastases. This model may aid the preoperative identification of low-risk patients for ALN macrometastasis and provide helpful information for PET/MRI interpretation.
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Affiliation(s)
- Shun Kawaguchi
- Breast and Endocrine Surgery, Toranomon Hospital, Tokyo, Japan
- *Correspondence: Shun Kawaguchi,
| | - Nobuko Tamura
- Breast and Endocrine Surgery, Toranomon Hospital, Tokyo, Japan
| | - Kiyo Tanaka
- Breast and Endocrine Surgery, Toranomon Hospital, Tokyo, Japan
| | - Yoko Kobayashi
- Breast and Endocrine Surgery, Toranomon Hospital, Tokyo, Japan
| | | | | | - Masato Shiiba
- Diagnostic Imaging Center, Toranomon Hospital, Tokyo, Japan
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Tao W, Wang S, Xu A, Xue Y, Wang H, Xu H. 18F-FDG Micro PET/CT imaging to evaluate the effect of BRCA1 knockdown on MDA-MB231 breast cancer cell radiosensitivity. Transl Oncol 2022; 25:101517. [PMID: 35985202 PMCID: PMC9411683 DOI: 10.1016/j.tranon.2022.101517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/29/2022] [Accepted: 08/09/2022] [Indexed: 12/04/2022] Open
Abstract
BRCA1 gene knockdown improves the radiosensitivity of breast cancer cells. BRCA1 gene knockdown combination with radiotherapy downregulates multiple biomarkers of poor prognosis. 18F-FDG Micro PET/CT imaging was able to evaluate the radiosensitizing effect of the BRCA1 gene in vitro experiment.
Objective Radioresistance of tumor cells is a major factor associated with failure of radiotherapy (RT). This study aimed to investigate the effect of BRCA1 knockdown on MDA-MB231 breast cancer cell radiosensitivity. Materials and methods Short hairpin RNA (shRNA) was used to knockdown BRCA1 gene in MDA-MB231 cells. Cell viability and proliferative capacity were assessed by CCK-8 and colony formation assays, respectively. We established xenograft models in nude mice to evaluate tumor volume and tumor weight. The mice were imaged by 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) before and after RT to evaluate changes in maximum standardized uptake value (SUVmax) and tumor SUVmax/muscle SUVmax (TMR). Changes in HIF-1α, Glut-1 and Ki-67 were analyzed and the correlation between 18F-FDG uptake and tumor biology was analyzed. Results Compared with the control cells, RT significantly reduced cell viability and colony formation capacity in cells with the BRCA1 gene knockdown. In vivo assays showed that there was obvious delay in the tumor growth in the shBRCA1+RT group compared with the control group. 18F-FDG Micro PET/CT indicated a reduction in glucose metabolism in the shBRCA1+RT group, with statistically significant differences in both the SUVmax and TMR. The data showed the expression of HIF-1α, Glut-1 and Ki-67 was downregulated in the shBRCA1+RT group, and both SUVmax and TMR had significant correlation with tumor biology. Conclusion These results demonstrated that BRCA1 knockdown improves the sensitivity of MDA-MB231 breast cancer cells to RT. In addition, 18F-FDG PET/CT imaging allows non-invasive analysis of tumor biology and assessment of radiosensitivity.
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Affiliation(s)
- Weitao Tao
- School of Basic Medical Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, China
| | - Siqi Wang
- Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, China
| | - Alei Xu
- Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, China
| | - Yangyang Xue
- Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, China
| | - Hui Wang
- Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, China
| | - Huiqin Xu
- School of Basic Medical Sciences, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, China; Department of Nuclear Medicine, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, China.
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9
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Yaneva G, Dimitrova T, Ivanov D, Ingilizova G, Slavov S. Immunohistochemical Marker Patterns in Female Breast Cancer. Open Access Maced J Med Sci 2022. [DOI: 10.3889/oamjms.2022.8950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND: Breast cancer (BC) represents the most common cancer in women worldwide and in Bulgaria. Its great medico-social importance determines the intensive complex research devoted to BC prevention, early diagnosis and management.
AIM: The objective of the present investigation is to reveal some essential peculiarities of four main immunohistochemical markers used in the diagnosis of molecular subtypes of female BC.
MATERIALS AND METHODS: During the period between December 1, 2017 and November 30, 2020, we examined a total of 128 randomly selected female BC patients operated on in Marko Markov Specialized Hospital for Active Treatment of Oncological Diseases of Varna, Bulgaria. We analyze BC molecular types and four immunohistochemical markers in BC patients. The expression of estrogen (ER) and progesterone (PR) receptors is assessed in mammary gland biopsies and surgical specimens by using the indirect immunoperoxidase method with EnVision™ FLEX MiniKit, that of HER2 with HercepTest™ and that of Ki-67 proliferation index with Leica Aperio Scan Scope AT2 device. The positivity and negativity of these receptors in single molecular subtypes is evaluated.
RESULTS: The luminal B HER2-positive and the luminal B HER2-negative subtypes are most common - in 36.72% and 35.16% of the cases, respectively. TNBC subtype is established in 11.72%) the luminal A - in 8.59% and the non-luminal HER2-positive subtype - in 7.81% of the cases. The positive expression is statistically significantly more common in ER (t=8.972; p<0.0001) and PR (t=2.828; p<0.01), while the negative expression insignificantly prevails in HER2.
CONCLUSION: Our immunohistochemical results in female BC patients prove the role of single receptor expression for the proper and timely decision making about the necessity and benefit of additional chemotherapy in selected surgically treated cases.
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