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Cao Y, Sutera P, Silva Mendes W, Yousefi B, Hrinivich T, Deek M, Phillips R, Song D, Kiess A, Cem Guler O, Torun N, Reyhan M, Sawant A, Marchionni L, Simone NL, Tran P, Onal C, Ren L. Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics. Radiother Oncol 2024; 199:110443. [PMID: 39094629 PMCID: PMC11405100 DOI: 10.1016/j.radonc.2024.110443] [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: 05/20/2024] [Revised: 07/06/2024] [Accepted: 07/12/2024] [Indexed: 08/04/2024]
Abstract
PURPOSE This study investigated imaging biomarkers derived from PSMA-PET acquired pre- and post-metastasis-directed therapy (MDT) to predict 2-year metastasis-free survival (MFS), which provides valuable early response assessment to improve patient outcomes. MATERIALS/METHODS An international cohort of 117 oligometastatic castration-sensitive prostate cancer (omCSPC) patients, comprising 34 from John Hopkins Hospital (JHH) and 83 from Baskent University (BU), were treated with stereotactic ablative radiation therapy (SABR) MDT with both pre- and post-MDT PSMA-PET/CT scans acquired. PET radiomic features were analyzed from a CT-PET fusion defined gross tumor volume ((GTV) or zone 1), and a 5 mm expansion ring area outside the GTV (zone 2). A total of 1748 PET radiomic features were extracted from these zones. The six most significant features selected using the Chi2 method, along with five clinical parameters (age, Gleason score, number of total lesions, untreated lesions, and pre-MDT prostate-specific antigen (PSA)) were extracted as inputs to the models. Various machine learning models, including Random Forest, Decision Tree, Support Vector Machine, and Naïve Bayesian, were employed for 2-year MFS prediction and tested using leave-one-out and cross-institution validation. RESULTS Six radiomic features, including Total Energy, Entropy, and Standard Deviation from pre-PSMA-PET zone 1, Total Energy and Contrast from post-PSMA-PET zone 1, and Entropy from pre-PSMA-PET zone 2, along with five clinical parameters were selected for predicting 2-year MFS. In a leave-one-out test with all the patients, random forest achieved an accuracy of 80 % and an AUC of 0.82 in predicting 2-year MFS. In cross-institution validation, the model correctly predicted 2-year MFS events with an accuracy of 75 % and an AUC of 0.77 for patients from JHH, and an accuracy of 78 % and an AUC of 0.80 for BU patients, respectively. CONCLUSION Our study demonstrated the promise of using pre- and post-MDT PSMA-PET-based imaging biomarkers for MFS prediction for omCSPC patients.
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Affiliation(s)
- Yufeng Cao
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Philip Sutera
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - William Silva Mendes
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Bardia Yousefi
- Fischell Department of Bioengineering, University of Maryland School of Medicine, College Park, MD, USA
| | - Tom Hrinivich
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Matthew Deek
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Ryan Phillips
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA
| | - Danny Song
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ana Kiess
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ozan Cem Guler
- Baskent University Faculty of Medicine, Adana Dr Turgut Noyan Research and Treatment Center, Department of Radiation Oncology, Adana, Turkey
| | - Nese Torun
- Baskent University Faculty of Medicine, Adana Dr Turgut Noyan Research and Treatment Center, Department of Nuclear Medicine, Ankara, Turkey
| | - Mehmet Reyhan
- Baskent University Faculty of Medicine, Adana Dr Turgut Noyan Research and Treatment Center, Department of Nuclear Medicine, Ankara, Turkey
| | - Amit Sawant
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Luigi Marchionni
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Nicole L Simone
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Phuoc Tran
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Cem Onal
- Baskent University Faculty of Medicine, Adana Dr Turgut Noyan Research and Treatment Center, Department of Radiation Oncology, Adana, Turkey; Baskent University Faculty of Medicine, Department of Radiation Oncology, Ankara, Turkey.
| | - Lei Ren
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
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Bauckneht M, Lanfranchi F, Albano D, Triggiani L, Linguanti F, Urso L, Mazzola R, Rizzo A, D'Angelo E, Dondi F, Mataj E, Pedersoli G, Abenavoli EM, Vaggelli L, Detti B, Ortolan N, Malorgio A, Guarneri A, Garrou F, Fiorini M, Grimaldi S, Ghedini P, Iorio GC, Iudicello A, Rovera G, Fornarini G, Bongiovanni D, Marcenaro M, Pazienza FM, Timon G, Salgarello M, Racca M, Bartolomei M, Panareo S, Ricardi U, Bertagna F, Alongi F, Barra S, Morbelli S, Sambuceti G, Belgioia L. Diverse Imaging Methods May Influence Long-Term Oncologic Outcomes in Oligorecurrent Prostate Cancer Patients Treated with Metastasis-Directed Therapy (the PRECISE-MDT Study). J Nucl Med 2024; 65:1202-1209. [PMID: 38906557 PMCID: PMC11294064 DOI: 10.2967/jnumed.124.267586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 05/09/2024] [Indexed: 06/23/2024] Open
Abstract
Metastasis-directed therapy (MDT) has been tested in clinical trials as a treatment option for oligorecurrent prostate cancer (PCa). However, there is an ongoing debate regarding the impact of using different imaging techniques interchangeably for defining lesions and guiding MDT within clinical trials. Methods: We retrospectively identified oligorecurrent PCa patients who had 5 or fewer nodal, bone, or visceral metastases detected by choline or prostate-specific membrane antigen (PSMA) PET/CT and who underwent MDT stereotactic body radiotherapy with or without systemic therapy in 8 tertiary-level cancer centers. Imaging-guided MDT was assessed as progression-free survival (PFS), time to systemic treatment change due to polymetastatic conversion (PFS2), and overall survival predictor. Propensity score matching was performed to account for clinical differences between groups. Results: Of 402 patients, 232 (57.7%) and 170 (42.3%) underwent MDT guided by [18F]fluorocholine and PSMA PET/CT, respectively. After propensity score matching, patients treated with PSMA PET/CT-guided MDT demonstrated longer PFS (hazard ratio [HR], 0.49 [95% CI, 0.36-0.67]; P < 0.0001), PFS2 (HR, 0.42 [95% CI, 0.28-0.63]; P < 0.0001), and overall survival (HR, 0.39 [95% CI, 0.15-0.99]; P < 0.05) than those treated with choline PET/CT-guided MDT. Additionally, we matched patients who underwent [68Ga]Ga-PSMA-11 versus [18F]F-PSMA-1007 PET/CT, observing longer PFS and PFS2 in the former subgroup (PFS: HR, 0.51 [95% CI, 0.26-1.00]; P < 0.05; PFS2: HR, 0.24 [95% CI, 0.09-0.60]; P < 0.05). Conclusion: Diverse imaging methods may influence outcomes in oligorecurrent PCa patients undergoing MDT. However, prospective, head-to-head studies, ideally incorporating a randomized design, are necessary to provide definitive evidence and facilitate the practical application of these findings.
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Affiliation(s)
- Matteo Bauckneht
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy;
- Department of Health Sciences, University of Genova, Genova, Italy
| | | | - Domenico Albano
- Nuclear Medicine, ASST Spedali Civili di Brescia, Brescia, Italy
- University of Brescia, Brescia, Italy
| | - Luca Triggiani
- University of Brescia, Brescia, Italy
- Radiation Oncology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Flavia Linguanti
- Nuclear Medicine, Careggi University Hospital, Florence, Italy
- Nuclear Medicine, Ospedale San Donato, Arezzo, Italy
| | - Luca Urso
- Nuclear Medicine, Oncological Medical and Specialist Department, University Hospital of Ferrara, Ferrara, Italy
| | - Rosario Mazzola
- Advanced Radiation Oncology, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Negrar, Italy
| | - Alessio Rizzo
- Nuclear Medicine, Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
| | - Elisa D'Angelo
- Radiation Oncology, University Hospital of Modena, Modena, Italy
| | - Francesco Dondi
- Nuclear Medicine, ASST Spedali Civili di Brescia, Brescia, Italy
- University of Brescia, Brescia, Italy
| | - Eneida Mataj
- University of Brescia, Brescia, Italy
- Radiation Oncology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Gloria Pedersoli
- University of Brescia, Brescia, Italy
- Radiation Oncology, ASST Spedali Civili di Brescia, Brescia, Italy
| | | | - Luca Vaggelli
- Nuclear Medicine, Careggi University Hospital, Florence, Italy
| | - Beatrice Detti
- Radiation Oncology, Careggi University Hospital, Florence, Italy
| | - Naima Ortolan
- Nuclear Medicine, Oncological Medical and Specialist Department, University Hospital of Ferrara, Ferrara, Italy
| | | | - Alessia Guarneri
- Radiation Oncology, Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
| | - Federico Garrou
- Nuclear Medicine, AOU Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Matilde Fiorini
- Advanced Radiation Oncology, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Negrar, Italy
| | - Serena Grimaldi
- Nuclear Medicine, AOU Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Pietro Ghedini
- Nuclear Medicine, Oncology, and Haematology Department, University Hospital of Modena, Modena, Italy
| | | | - Antonella Iudicello
- Nuclear Medicine, Oncology, and Haematology Department, University Hospital of Modena, Modena, Italy
| | - Guido Rovera
- Nuclear Medicine, AOU Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Giuseppe Fornarini
- Medical Oncology 1, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Diego Bongiovanni
- Radiation Oncology, Department of Oncology, University of Turin, Turin, Italy
| | - Michela Marcenaro
- Radiotherapy, IRCCS Ospedale Policlinico San Martino, Genova, Italy; and
| | - Filippo Maria Pazienza
- Nuclear Medicine, AOU Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Giorgia Timon
- Radiotherapy, IRCCS Ospedale Policlinico San Martino, Genova, Italy; and
| | - Matteo Salgarello
- Nuclear Medicine, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar, Italy
| | - Manuela Racca
- Nuclear Medicine, Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy
| | - Mirco Bartolomei
- Nuclear Medicine, Oncological Medical and Specialist Department, University Hospital of Ferrara, Ferrara, Italy
| | - Stefano Panareo
- Nuclear Medicine, Oncology, and Haematology Department, University Hospital of Modena, Modena, Italy
| | - Umberto Ricardi
- Radiation Oncology, Department of Oncology, University of Turin, Turin, Italy
| | - Francesco Bertagna
- Nuclear Medicine, ASST Spedali Civili di Brescia, Brescia, Italy
- University of Brescia, Brescia, Italy
| | - Filippo Alongi
- University of Brescia, Brescia, Italy
- Advanced Radiation Oncology, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Negrar, Italy
| | - Salvina Barra
- Radiotherapy, IRCCS Ospedale Policlinico San Martino, Genova, Italy; and
| | - Silvia Morbelli
- Nuclear Medicine, AOU Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Gianmario Sambuceti
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Health Sciences, University of Genova, Genova, Italy
| | - Liliana Belgioia
- Department of Health Sciences, University of Genova, Genova, Italy
- Radiotherapy, IRCCS Ospedale Policlinico San Martino, Genova, Italy; and
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Alberts IL, Seifert R, Werner RA, Rowe SP, Afshar-Oromieh A. Prostate-specific Membrane Antigen: Diagnostics. PET Clin 2024; 19:351-362. [PMID: 38702228 DOI: 10.1016/j.cpet.2024.03.001] [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] [Indexed: 05/06/2024]
Abstract
Since its clinical introduction in May 2011, prostate-specific membrane antigen (PSMA)-PET/computed tomography has quickly gained worldwide recognition as a significant breakthrough in prostate cancer diagnostics. In the meantime, several new PSMA radioligands for PET imaging have been introduced into routine clinical practice. This article aims to introduce the most commonly used tracers and their key areas of application.
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Affiliation(s)
- Ian L Alberts
- Molecular Imaging and Therapy, BC Cancer - Vancouver, 600 West 10th Avenue, Vancouver, British Columbia V5Z 1H5, Canada
| | - Robert Seifert
- University Clinic for Nuclear Medicine, Inselspital, University Hospital of Bern, Bern, Switzerland
| | - Rudolf A Werner
- Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacherstr. 6, 97080 Würzburg, Germany; Division of Nuclear Medicine, Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Goethe University Frankfurt, University Hospital, Germany
| | - Steven P Rowe
- Molecular Imaging and Therapeutics, Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
| | - Ali Afshar-Oromieh
- University Clinic for Nuclear Medicine, Inselspital, University Hospital of Bern, Bern, Switzerland.
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4
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Moul JW, Shore ND, Pienta KJ, Czernin J, King MT, Freedland SJ. Application of next-generation imaging in biochemically recurrent prostate cancer. Prostate Cancer Prostatic Dis 2024; 27:202-211. [PMID: 37679601 PMCID: PMC11096127 DOI: 10.1038/s41391-023-00711-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 07/27/2023] [Accepted: 08/03/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND Biochemical recurrence (BCR) following primary interventional treatment occurs in approximately one-third of patients with prostate cancer (PCa). Next-generation imaging (NGI) can identify local and metastatic recurrence with greater sensitivity than conventional imaging, potentially allowing for more effective interventions. This narrative review examines the current clinical evidence on the utility of NGI for patients with BCR. METHODS A search of PubMed was conducted to identify relevant publications on NGI applied to BCR. Given other relevant recent reviews on the topic, this review focused on papers published between January 2018 to May 2023. RESULTS NGI technologies, including positron emission tomography (PET) radiotracers and multiparametric magnetic resonance imaging, have demonstrated increased sensitivity and selectivity for diagnosing BCR at prostate-specific antigen (PSA) concentrations <2.0 ng/ml. Detection rates range between 46% and 50%, with decreasing PSA levels for choline (1-3 ng/ml), fluciclovine (0.5-1 ng/ml), and prostate-specific membrane antigen (0.2-0.49 ng/ml) PET radiotracers. Expert working groups and European and US medical societies recommend NGI for patients with BCR. CONCLUSIONS Available data support the improved detection performance and selectivity of NGI modalities versus conventional imaging techniques; however, limited clinical evidence exists demonstrating the application of NGI to treatment decision-making and its impact on patient outcomes. The emergence of NGI and displacement of conventional imaging may require a reexamination of the current definitions of BCR, altering our understanding of early recurrence. Redefining the BCR disease state by formalizing the role of NGI in patient management decisions will facilitate greater alignment across research efforts and better reflect the published literature.
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Affiliation(s)
- Judd W Moul
- Duke Cancer Institute and Division of Urology, Duke University, Durham, NC, USA
| | - Neal D Shore
- Carolina Urologic Research Center, Myrtle Beach, SC, USA
| | | | - Johannes Czernin
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Martin T King
- Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA, USA
| | - Stephen J Freedland
- Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
- Veterans Affairs Medical Center, Durham, NC, USA.
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Hoshi S, Yaginuma K, Meguro S, Onagi A, Matsuoka K, Hata J, Sato Y, Akaihata H, Kataoka M, Ogawa S, Uemura M, Kojima Y. PSMA Targeted Molecular Imaging and Radioligand Therapy for Prostate Cancer: Optimal Patient and Treatment Issues. Curr Oncol 2023; 30:7286-7302. [PMID: 37623010 PMCID: PMC10453875 DOI: 10.3390/curroncol30080529] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/26/2023] Open
Abstract
Theranostics (therapy + diagnosis) targeting prostate-specific membrane antigen (PSMA) is an emerging therapeutic modality that could alter treatment strategies for prostate cancer. Although PSMA-targeted radioligand therapy (PSMA-RLT) has a highly therapeutic effect on PSMA-positive tumor tissue, the efficacy of PSMA-RLT depends on PSMA expression. Moreover, predictors of treatment response other than PSMA expression are under investigation. Therefore, the optimal patient population for PSMA-RLT remains unclear. This review provides an overview of the current status of theranostics for prostate cancer, focusing on PSMA ligands. In addition, we summarize various findings regarding the efficacy and problems of PSMA-RLT and discuss the optimal patient for PSMA-RLT.
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Affiliation(s)
- Seiji Hoshi
- Departments of Urology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan; (K.Y.); (S.M.); (A.O.); (K.M.); (J.H.); (Y.S.); (H.A.); (M.K.); (S.O.); (M.U.); (Y.K.)
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Mingels C, Loebelenz LI, Huber AT, Alberts I, Rominger A, Afshar-Oromieh A, Obmann VC. Literature review: Imaging in prostate cancer. Curr Probl Cancer 2023:100968. [PMID: 37336689 DOI: 10.1016/j.currproblcancer.2023.100968] [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: 02/09/2023] [Revised: 05/09/2023] [Accepted: 05/20/2023] [Indexed: 06/21/2023]
Abstract
Imaging plays an increasingly important role in the detection and characterization of prostate cancer (PC). This review summarizes the key conventional and advanced imaging modalities including multiparametric magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging and tries to instruct clinicians in finding the best image modality depending on the patient`s PC-stage. We aim to give an overview of the different image modalities and their benefits and weaknesses in imaging PC. Emphasis is put on primary prostate cancer detection and staging as well as on recurrent and castration resistant prostate cancer. Results from studies using various imaging techniques are discussed and compared. For the different stages of PC, advantages and disadvantages of the different imaging modalities are discussed. Moreover, this review aims to give an outlook about upcoming, new imaging modalities and how they might be implemented in the future into clinical routine. Imaging patients suffering from PC should aim for exact diagnosis, accurate detection of PC lesions and should mirror the true tumor burden. Imaging should lead to the best patient treatment available in the current PC-stage and should avoid unnecessary therapeutic interventions. New image modalities such as long axial field of view PET/CT with photon-counting CT and radiopharmaceuticals like androgen receptor targeting radiopharmaceuticals open up new possibilities. In conclusion, PC imaging is growing and each image modality is aiming for improvement.
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Affiliation(s)
- Clemens Mingels
- Department of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
| | - Laura I Loebelenz
- Department of Interventional, Pediatric and Diagnostic Radiology, Inselspital, University of Bern, Switzerland
| | - Adrian T Huber
- Department of Interventional, Pediatric and Diagnostic Radiology, Inselspital, University of Bern, Switzerland
| | - Ian Alberts
- Department of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Axel Rominger
- Department of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Ali Afshar-Oromieh
- Department of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Verena C Obmann
- Department of Interventional, Pediatric and Diagnostic Radiology, Inselspital, University of Bern, Switzerland
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Rizzo A, Dall’Armellina S, Pizzuto DA, Perotti G, Zagaria L, Lanni V, Treglia G, Racca M, Annunziata S. PSMA Radioligand Uptake as a Biomarker of Neoangiogenesis in Solid Tumours: Diagnostic or Theragnostic Factor? Cancers (Basel) 2022; 14:4039. [PMID: 36011032 PMCID: PMC9406909 DOI: 10.3390/cancers14164039] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/10/2022] [Accepted: 08/17/2022] [Indexed: 01/10/2023] Open
Abstract
Due to its overexpression on the surface of prostate cancer cells, prostate-specific membrane antigen (PSMA) is a relatively novel effective target for molecular imaging and radioligand therapy (RLT) in prostate cancer. Recent studies reported that PSMA is expressed in the neovasculature of various types of cancer and regulates tumour cell invasion as well as tumour angiogenesis. Several authors explored the role of diagnostic and therapeutic PSMA radioligands in various malignancies. In this narrative review, we describe the current status of the literature on PSMA radioligands' application in solid tumours other than prostate cancer to explore their potential role as diagnostic or therapeutic agents, with particular regard to the relevance of PSMA radioligand uptake as neoangiogenetic biomarker. Hence, a comprehensive review of the literature was performed to find relevant articles on the applications of PSMA radioligands in non-prostate solid tumours. Data on the general, methodological and clinical aspects of all included studies were collected. Forty full-text papers were selected for final review, 8 of which explored PSMA radioligand PET/CT performances in gliomas, 3 in salivary gland malignancies, 6 in thyroid cancer, 2 in breast cancer, 16 in renal cell carcinoma and 5 in hepatocellular carcinoma. In the included studies, PSMA radioligand PET showed promising performance in patients with non-prostate solid tumours. Further studies are needed to better define its potential role in oncological patients management, especially in those undergoing antineoangiogenic therapies, and to assess the efficacy of PSMA-RLT in this clinical context.
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Affiliation(s)
- Alessio Rizzo
- Department of Nuclear Medicine, Candiolo Cancer Institute, FPO—IRCCS, 10060 Turin, Italy
| | - Sara Dall’Armellina
- Nuclear Medicine Unit, Department of Medical Sciences, AOU Città della Salute e della Scienza, University of Turin, 10134 Turin, Italy
| | - Daniele Antonio Pizzuto
- Unità di Medicina Nucleare, TracerGLab, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Germano Perotti
- Unità di Medicina Nucleare, TracerGLab, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Luca Zagaria
- Unità di Medicina Nucleare, TracerGLab, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Valerio Lanni
- Unità di Medicina Nucleare, TracerGLab, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Giorgio Treglia
- Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6501 Bellinzona, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, 1011 Lausanne, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, 6900 Lugano, Switzerland
| | - Manuela Racca
- Department of Nuclear Medicine, Candiolo Cancer Institute, FPO—IRCCS, 10060 Turin, Italy
| | - Salvatore Annunziata
- Unità di Medicina Nucleare, TracerGLab, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
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