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Wang D, Mo Y, Liu F, Zheng S, Liu H, Li H, Guo J, Fan W, Qiu B, Zhang X, Liu H. Repeated dynamic [ 18F]FDG PET/CT imaging using a high-sensitivity PET/CT scanner for assessing non-small cell lung cancer patients undergoing induction immuno-chemotherapy followed by hypo-fractionated chemoradiotherapy and consolidative immunotherapy: report from a prospective observational study (GASTO-1067). Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06819-2. [PMID: 38953934 DOI: 10.1007/s00259-024-06819-2] [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: 03/17/2024] [Accepted: 06/07/2024] [Indexed: 07/04/2024]
Abstract
OBJECTIVE The study aims to investigate the role of dynamic [18F]FDG PET/CT imaging by high-sensitivity PET/CT scanner for assessing patients with locally advanced non-small cell lung cancer (LA-NSCLC) who undergo induction immuno-chemotherapy, followed by concurrent hypo-fractionated chemoradiotherapy (hypo-CCRT) and consolidative immunotherapy. METHODS Patients with unresectable LA-NSCLC are prospectively recruited. Dynamic [18F]FDG PET/CT scans are conducted at four timepoints: before treatment (Baseline), after induction immuno-chemotherapy (Post-IC), during hypo-CCRT (Mid-hypo-CCRT) and after hypo-CCRT (Post-hypo-CCRT). The primary lung tumors (PTs) are manually delineated, and the metabolic features, including the Patlak-Ki (Ki), maximum SUV (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) have been evaluated. The expressions of CD3, CD8, CD68, CD163, CD34 and Ki67 in primary lung tumors at baseline are assayed by immunohistochemistry. The levels of blood lymphocytes at four timepoints are analyzed with flow cytometry. RESULTS Fifteen LA-NSCLC patients are enrolled between December 2020 and December 2022. Baseline Ki of primary tumor yields the highest AUC values of 0.722 and 0.796 for predicting disease progression and patient death, respectively. Patients are classified into the High FDG Ki group (n = 8, Ki > 2.779 ml/min/100 g) and the Low FDG Ki group (n = 7, Ki ≤ 2.779 ml/min/100 g). The High FDG Ki group presents better progression-free survival (P = 0.01) and overall survival (P = 0.025). The High FDG Ki group exhibits more significant reductions in Ki after hypo-CCRT compared to the Low FDG Ki group. Patients with a reduction in Ki > 73.1% exhibit better progression-free survival than those with a reduction ≤ 73.1% in Ki (median: not reached vs. 7.33 months, P = 0.12). The levels of CD3+ T cells (P = 0.003), CD8+ T cells (P = 0.002), CD68+ macrophages (P = 0.071) and CD163+ macrophages (P = 0.012) in primary tumor tissues are higher in the High FDG Ki group. The High FDG Ki group has higher CD3+CD8+ lymphocytes in blood at baseline (P = 0.108), post-IC (P = 0.023) and post-hypo-CCRT (P = 0.041) than the Low FDG Ki group. CONCLUSIONS The metabolic features in the High FDG Ki group significantly decrease during the treatment, particularly after induction immuno-chemotherapy. The Ki value of primary tumor shows significant relationship with the treatment response and survival in LA-NSCLC patients by the combined immuno-chemoradiotherapy regimen. TRIAL REGISTRATION ClinicalTrials.gov. NCT04654234. Registered 4 December 2020.
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Affiliation(s)
- DaQuan Wang
- Department of Radiation Oncology, Guangdong Provincial Clinical Research Center for Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China
| | - YiWen Mo
- Department of Nuclear Medicine, Guangdong Provincial Clinical Research Center for Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, P. R. China
| | - FangJie Liu
- Department of Radiation Oncology, Guangdong Provincial Clinical Research Center for Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China
| | - ShiYang Zheng
- Department of Radiation Oncology, Guangdong Provincial Clinical Research Center for Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China
| | - Hui Liu
- United Imaging Healthcare, Shanghai, China
| | - HongDi Li
- United Imaging Healthcare, Shanghai, China
| | - JinYu Guo
- Department of Radiation Oncology, Guangdong Provincial Clinical Research Center for Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China
| | - Wei Fan
- Department of Nuclear Medicine, Guangdong Provincial Clinical Research Center for Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, P. R. China
| | - Bo Qiu
- Department of Radiation Oncology, Guangdong Provincial Clinical Research Center for Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China.
| | - Xu Zhang
- Department of Nuclear Medicine, Guangdong Provincial Clinical Research Center for Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, P. R. China.
| | - Hui Liu
- Department of Radiation Oncology, Guangdong Provincial Clinical Research Center for Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China.
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Masse M, Chardin D, Tricarico P, Ferrari V, Martin N, Otto J, Darcourt J, Comte V, Humbert O. [ 18F]FDG-PET/CT atypical response patterns to immunotherapy in non-small cell lung cancer patients: long term prognosis assessment and clinical management proposal. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06794-8. [PMID: 38896129 DOI: 10.1007/s00259-024-06794-8] [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: 03/08/2024] [Accepted: 06/05/2024] [Indexed: 06/21/2024]
Abstract
AIM To determine the long-term prognosis of immune-related response profiles (pseudoprogression and dissociated response), not covered by conventional PERCIST criteria, in patients with non-small-cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICPIs). METHODS 109 patients were prospectively included and underwent [18F]FDG-PET/CT at baseline, after 7 weeks (PETinterim1), and 3 months (PETinterim2) of treatment. On PETinterim1, tumor response was assessed using standard PERCIST criteria. In the event of PERCIST progression at this time-point, the study design provided for continued immunotherapy for 6 more weeks. Additional response patterns were then considered on PETinterim2: pseudo-progression (PsPD, subsequent metabolic response); dissociated response (DR, coexistence of responding and non-responding lesions), and confirmed progressive metabolic disease (cPMD, subsequent homogeneous progression of lesions). Patients were followed up for at least 12 months. RESULTS Median follow-up was 21 months. At PETinterim1, PERCIST progression was observed in 60% (66/109) of patients and ICPI was continued in 59/66. At the subsequent PETinterim2, 14% of patients showed PsPD, 11% DR, 35% cPMD, and 28% had a sustained metabolic response. Median overall survival (OS) and progression-free-survival (PFS) did not differ between PsPD and DR (27 vs 29 months, p = 1.0; 17 vs 12 months, p = 0.2, respectively). The OS and PFS of PsPD/DR patients were significantly better than those with cPMD (29 vs 9 months, p < 0.02; 16 vs 2 months, p < 0.001), but worse than those with sustained metabolic response (p < 0.001). This 3-group prognostic stratification enabled better identification of true progressors, outperforming the prognostic value of standard PERCIST criteria (p = 0.03). CONCLUSION [18F]FDG-PET/CT enables early assessment of response to immunotherapy. The new wsPERCIST ("wait and see") PET criteria proposed, comprising immune-related atypical response patterns, can refine conventional prognostic stratification based on PERCIST criteria. TRIAL REGISTRATION HDH F20230309081206. Registered 20 April 2023. Retrospectively registered.
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Affiliation(s)
- Mathilde Masse
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France.
- Université Côte D'Azur, CNRS, Inserm, iBV, Nice, France.
| | - David Chardin
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
- Université Côte D'Azur, CNRS, Inserm, iBV, Nice, France
| | - Pierre Tricarico
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
| | - Victoria Ferrari
- Centre Antoine Lacassagne, Oncology Department, 33 Avenue de Valombrose, 06100, Nice, France
| | - Nicolas Martin
- Centre Antoine Lacassagne, Oncology Department, 33 Avenue de Valombrose, 06100, Nice, France
| | - Josiane Otto
- Centre Antoine Lacassagne, Oncology Department, 33 Avenue de Valombrose, 06100, Nice, France
| | - Jacques Darcourt
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
- TIRO-UMR E 4320, UCA/CEA, 28 Avenue de Valombrose, 06100, Nice, France
| | - Victor Comte
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
- Université Côte D'Azur, CNRS, Inserm, iBV, Nice, France
| | - Olivier Humbert
- Centre Antoine Lacassagne, Nuclear Medicine Department, 33 Avenue de Valombrose, 06100, Nice, France
- Université Côte D'Azur, CNRS, Inserm, iBV, Nice, France
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Wang Y, Chow D, Indrakanti SS, Palmer EL, Scott JA. Schrodinger's cat and Deauville 5 point scoring. Clin Imaging 2023; 101:180-182. [PMID: 37385118 DOI: 10.1016/j.clinimag.2023.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 06/08/2023] [Accepted: 06/22/2023] [Indexed: 07/01/2023]
Affiliation(s)
- Yingbing Wang
- Massachusetts General Hospital, Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, 55 Fruit Street, White 4-427, Boston, MA 02114, United States of America.
| | - David Chow
- Massachusetts General Hospital, Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, 55 Fruit Street, White 4-427, Boston, MA 02114, United States of America
| | - Shalini Santoshi Indrakanti
- Massachusetts General Hospital, Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, 55 Fruit Street, White 4-427, Boston, MA 02114, United States of America
| | - Edwin Lincoln Palmer
- Massachusetts General Hospital, Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, 55 Fruit Street, White 4-427, Boston, MA 02114, United States of America
| | - James Arthur Scott
- Massachusetts General Hospital, Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, 55 Fruit Street, White 4-427, Boston, MA 02114, United States of America
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Shankar LK, Schöder H, Sharon E, Wolchok J, Knopp MV, Wahl RL, Ellingson BM, Hall NC, Yaffe MJ, Towbin AJ, Farwell MD, Pryma D, Poussaint TY, Wright CL, Schwartz L, Harisinghani M, Mahmood U, Wu AM, Leung D, de Vries EGE, Tang Y, Beach G, Reeves SA. Harnessing imaging tools to guide immunotherapy trials: summary from the National Cancer Institute Cancer Imaging Steering Committee workshop. Lancet Oncol 2023; 24:e133-e143. [PMID: 36858729 PMCID: PMC10119769 DOI: 10.1016/s1470-2045(22)00742-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/18/2022] [Accepted: 11/30/2022] [Indexed: 03/02/2023]
Abstract
As the immuno-oncology field continues the rapid growth witnessed over the past decade, optimising patient outcomes requires an evolution in the current response-assessment guidelines for phase 2 and 3 immunotherapy clinical trials and clinical care. Additionally, investigational tools-including image analysis of standard-of-care scans (such as CT, magnetic resonance, and PET) with analytics, such as radiomics, functional magnetic resonance agents, and novel molecular-imaging PET agents-offer promising advancements for assessment of immunotherapy. To document current challenges and opportunities and identify next steps in immunotherapy diagnostic imaging, the National Cancer Institute Clinical Imaging Steering Committee convened a meeting with diverse representation among imaging experts and oncologists to generate a comprehensive review of the state of the field.
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Affiliation(s)
- Lalitha K Shankar
- Clinical Trials Branch, National Cancer Institute, Rockville, MD, USA.
| | - Heiko Schöder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elad Sharon
- Investigational Drug Branch, National Cancer Institute, Rockville, MD, USA
| | - Jedd Wolchok
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Michael V Knopp
- Department of Radiology, Ohio State University, Columbus, OH, USA
| | - Richard L Wahl
- Department of Radiology, Washington University, St Louis, MO, USA
| | - Benjamin M Ellingson
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Nathan C Hall
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Martin J Yaffe
- Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Alexander J Towbin
- Department of Radiology and Medical Imaging, Cincinnati Children's Hospital, Cincinnati, OH, USA
| | - Michael D Farwell
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Pryma
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | - Umar Mahmood
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Anna M Wu
- Department of Immunology & Theranostics, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | | | - Elisabeth G E de Vries
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | | | | | - Steven A Reeves
- Coordinating Center for Clinical Trials, National Cancer Institute, Rockville, MD, USA
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Evangelista L, Bianchi A, Annovazzi A, Sciuto R, Di Traglia S, Bauckneht M, Lanfranchi F, Morbelli S, Nappi AG, Ferrari C, Rubini G, Panareo S, Urso L, Bartolomei M, D’Arienzo D, Valente T, Rossetti V, Caroli P, Matteucci F, Aricò D, Bombaci M, Caponnetto D, Bertagna F, Albano D, Dondi F, Gusella S, Spimpolo A, Carriere C, Balma M, Buschiazzo A, Gallicchio R, Storto G, Ruffini L, Cervati V, Ledda RE, Cervino AR, Cuppari L, Burei M, Trifirò G, Brugola E, Zanini CA, Alessi A, Fuoco V, Seregni E, Deandreis D, Liberini V, Moreci AM, Ialuna S, Pulizzi S, De Rimini ML. ITA-IMMUNO-PET: The Role of [18F]FDG PET/CT for Assessing Response to Immunotherapy in Patients with Some Solid Tumors. Cancers (Basel) 2023; 15:cancers15030878. [PMID: 36765835 PMCID: PMC9913289 DOI: 10.3390/cancers15030878] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 01/24/2023] [Accepted: 01/27/2023] [Indexed: 02/04/2023] Open
Abstract
AIM To examine the role of [18F]FDG PET/CT for assessing response to immunotherapy in patients with some solid tumors. METHODS Data recorded in a multicenter (n = 17), retrospective database between March and November 2021 were analyzed. The sample included patients with a confirmed diagnosis of a solid tumor who underwent serial [18F]FDG PET/CT (before and after one or more cycles of immunotherapy), who were >18 years of age, and had a follow-up of at least 12 months after their first PET/CT scan. Patients enrolled in clinical trials or without a confirmed diagnosis of cancer were excluded. The authors classified cases as having a complete or partial metabolic response to immunotherapy, or stable or progressive metabolic disease, based on a visual and semiquantitative analysis according to the EORTC criteria. Clinical response to immunotherapy was assessed at much the same time points as the serial PET scans, and both the obtained responses were compared. RESULTS The study concerned 311 patients (median age: 67; range: 31-89 years) in all. The most common neoplasm was lung cancer (56.9%), followed by malignant melanoma (32.5%). Nivolumab was administered in 46.3%, and pembrolizumab in 40.5% of patients. Baseline PET and a first PET scan performed at a median 3 months after starting immunotherapy were available for all 311 patients, while subsequent PET scans were obtained after a median 6, 12, 16, and 21 months for 199 (64%), 102 (33%), 46 (15%), and 23 (7%) patients, respectively. Clinical response to therapy was recorded at around the same time points after starting immunotherapy for 252 (81%), 173 (56%), 85 (27%), 40 (13%), and 22 (7%) patients, respectively. After a median 18 (1-137) months, 113 (36.3%) patients had died. On Kaplan-Meier analysis, metabolic responders on the first two serial PET scans showed a better prognosis than non-responders, while clinical response became prognostically informative from the second assessment after starting immunotherapy onwards. CONCLUSIONS [18F]FDG PET/CT could have a role in the assessment of response to immunotherapy in patients with some solid tumors. It can provide prognostic information and thus contribute to a patient's appropriate treatment. Prospective randomized controlled trials are mandatory.
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Affiliation(s)
- Laura Evangelista
- Nuclear Medicine Unit, Department of Medicine DIMED, University of Padua, 35129 Padua, Italy
- Correspondence:
| | - Andrea Bianchi
- Nuclear Medicine Unit, ASO S.Croce e Carle Cuneo, 12100 Cuneo, Italy
| | - Alessio Annovazzi
- Nuclear Medicine Unit, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
| | - Rosa Sciuto
- Nuclear Medicine Unit, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
| | - Silvia Di Traglia
- Nuclear Medicine Unit, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
| | - Matteo Bauckneht
- Department of Health Sciences (DISSAL), University of Genova, 16126 Genova, Italy
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Francesco Lanfranchi
- Department of Health Sciences (DISSAL), University of Genova, 16126 Genova, Italy
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Silvia Morbelli
- Department of Health Sciences (DISSAL), University of Genova, 16126 Genova, Italy
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Anna Giulia Nappi
- Section of Nuclear Medicine, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy
| | - Cristina Ferrari
- Section of Nuclear Medicine, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy
| | - Giuseppe Rubini
- Section of Nuclear Medicine, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy
| | - Stefano Panareo
- Nuclear Medicine Unit, Azienda Ospedaliero Universitaria di Modena, 41124 Modena, Italy
| | - Luca Urso
- Nuclear Medicine Unit, University of Ferrara, 44121 Ferrara, Italy
| | - Mirco Bartolomei
- Nuclear Medicine Unit, University of Ferrara, 44121 Ferrara, Italy
| | - Davide D’Arienzo
- Nuclear Medicine Unit, Dept Servizi Sanitari, AORN Ospedali dei Colli, 80131 Naples, Italy
| | - Tullio Valente
- Radiology Department, AORN Ospedali dei Colli, 80131 Naples, Italy
| | - Virginia Rossetti
- Nuclear Medicine Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST), 47014 Meldola, Italy
| | - Paola Caroli
- Nuclear Medicine Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST), 47014 Meldola, Italy
| | - Federica Matteucci
- Nuclear Medicine Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST), 47014 Meldola, Italy
| | - Demetrio Aricò
- Nuclear Medicine Unit, Humanitas Istituto Clinico Catanese, 95045 Misterbianco, Italy
| | - Michelangelo Bombaci
- Nuclear Medicine Unit, Humanitas Istituto Clinico Catanese, 95045 Misterbianco, Italy
| | - Domenica Caponnetto
- Nuclear Medicine Unit, Humanitas Istituto Clinico Catanese, 95045 Misterbianco, Italy
| | | | - Domenico Albano
- Nuclear Medicine Unit, University of Brescia, 25123 Brescia, Italy
| | - Francesco Dondi
- Nuclear Medicine Unit, University of Brescia, 25123 Brescia, Italy
| | - Sara Gusella
- Nuclear Medicine Department, Central Hospital Bolzano (SABES-ASDAA), 39100 Bolzano-Bozen, Italy
| | - Alessandro Spimpolo
- Nuclear Medicine Department, Central Hospital Bolzano (SABES-ASDAA), 39100 Bolzano-Bozen, Italy
| | - Cinzia Carriere
- Dermatology Department, Central Hospital Bolzano (SABES-ASDAA), 39100 Bolzano-Bozen, Italy
| | - Michele Balma
- Nuclear Medicine Unit, ASO S.Croce e Carle Cuneo, 12100 Cuneo, Italy
| | - Ambra Buschiazzo
- Nuclear Medicine Unit, ASO S.Croce e Carle Cuneo, 12100 Cuneo, Italy
| | - Rosj Gallicchio
- Nuclear Medicine Unit, IRCCS CROB Referral Cancer Center of Basilicata, 85028 Rionero in Vulture, Italy
| | - Giovanni Storto
- Nuclear Medicine Unit, IRCCS CROB Referral Cancer Center of Basilicata, 85028 Rionero in Vulture, Italy
| | - Livia Ruffini
- Nuclear Medicine Division, Azienda Ospedaliero-Universitaria of Parma, 43126 Parma, Italy
| | - Veronica Cervati
- Nuclear Medicine Division, Azienda Ospedaliero-Universitaria of Parma, 43126 Parma, Italy
| | - Roberta Eufrasia Ledda
- Department of Medicine and Surgery, Unit of Radiological Sciences, University of Parma, 43126 Parma, Italy
| | - Anna Rita Cervino
- Nuclear Medicine Unit, Veneto Institute Of Oncology IOV—IRCSS, 35128 Padua, Italy
| | - Lea Cuppari
- Nuclear Medicine Unit, Veneto Institute Of Oncology IOV—IRCSS, 35128 Padua, Italy
| | - Marta Burei
- Nuclear Medicine Unit, Veneto Institute Of Oncology IOV—IRCSS, 35128 Padua, Italy
| | - Giuseppe Trifirò
- Nuclear Medicine Unit, ICS MAUGERI SPA SB—IRCCS, 35128 Padua, Italy
| | | | | | - Alessandra Alessi
- Nuclear Medicine Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Valentina Fuoco
- Nuclear Medicine Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Ettore Seregni
- Nuclear Medicine Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Désirée Deandreis
- Nuclear Medicine Division, Department of Medical Sciences, University of Turin, 10124 Turin, Italy
| | - Virginia Liberini
- Nuclear Medicine Unit, ASO S.Croce e Carle Cuneo, 12100 Cuneo, Italy
- Nuclear Medicine Division, Department of Medical Sciences, University of Turin, 10124 Turin, Italy
| | - Antonino Maria Moreci
- Nuclear Medicine Unit, Az. Ospedaliera Ospedali Riuniti Villa Sofia-Cervello di Palermo, 90100 Palermo, Italy
| | - Salvatore Ialuna
- Nuclear Medicine Unit, Az. Ospedaliera Ospedali Riuniti Villa Sofia-Cervello di Palermo, 90100 Palermo, Italy
| | - Sabina Pulizzi
- Nuclear Medicine Unit, Az. Ospedaliera Ospedali Riuniti Villa Sofia-Cervello di Palermo, 90100 Palermo, Italy
| | - Maria Luisa De Rimini
- Nuclear Medicine Unit, Dept Servizi Sanitari, AORN Ospedali dei Colli, 80131 Naples, Italy
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Zhou J, Du Y, Lai Z, Chen T, Li Z. Intra-Individual Variation in Disease-Specific IgG Fc Glycoform Ratios to Monitor the Disease Progression of Lung Cancer. J Proteome Res 2023; 22:246-258. [PMID: 36503223 DOI: 10.1021/acs.jproteome.2c00680] [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: 12/14/2022]
Abstract
Aberrant protein glycosylation is an active pathological alteration related to the progression of cancers. The speed of progression varies among individuals, increasing the difficulties of prognosis assessment. Hence, evaluating variation in glycosylation using patients themselves as their own controls is a potential way to reduce the impact of individual differences on progression monitoring. Here, following a longitudinal follow-up study involving 125 lung cancer (LC) patients with progressive disease, we isolated disease-specific IgG from serum using polyacrylamide gel electrophoresis, obtained IgG glycoform ratios using mass spectrometry, and then set a fold-change cutoff of 1.5 to utilize the intra-individual variation in IgG glycosylation to monitor PD. We found that the serial monitoring of 15 types of glycoform ratios provided an effective way for monitoring LC progression. Over 1.5-fold changes in glycoform ratios relative to the first observed value were detected in 117 of 125 LC patients (93.6%). Our established method predicted LC progression 55.8 (IQR 31.1-90.1) weeks earlier than imaging examination did. In summary, intra-individual variation in IgG glycoform ratios is useful to monitor LC progression, expanding our knowledge about the relationship between IgG glycosylation and cancer prognosis. The raw data files are available via the ProteomeXchange Consortium with the identifier PXD037541.
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Affiliation(s)
- Jinyu Zhou
- Department of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dongdan San Tiao, Beijing 100005, China
| | - Yuying Du
- Department of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dongdan San Tiao, Beijing 100005, China
| | - Zhizhen Lai
- Department of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dongdan San Tiao, Beijing 100005, China
| | - Tianjing Chen
- Department of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dongdan San Tiao, Beijing 100005, China
| | - Zhili Li
- Department of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, 5 Dongdan San Tiao, Beijing 100005, China
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Cui Y, Lin Y, Zhao Z, Long H, Zheng L, Lin X. Comprehensive 18F-FDG PET-based radiomics in elevating the pathological response to neoadjuvant immunochemotherapy for resectable stage III non-small-cell lung cancer: A pilot study. Front Immunol 2022; 13:994917. [PMID: 36466929 PMCID: PMC9713843 DOI: 10.3389/fimmu.2022.994917] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/27/2022] [Indexed: 07/30/2023] Open
Abstract
PURPOSE To develop a comprehensive PET radiomics model to predict the pathological response after neoadjuvant toripalimab with chemotherapy in resectable stage III non-small-cell lung cancer (NSCLC) patients. METHODS Stage III NSCLC patients who received three cycles of neoadjuvant toripalimab with chemotherapy and underwent 18F-FDG PET/CT were enrolled. Baseline 18F-FDG PET/CT was performed before treatment, and preoperative 18F-FDG PET/CT was performed three weeks after the completion of neoadjuvant treatment. Surgical resection was performed 4-5 weeks after the completion of neoadjuvant treatment. Standardized uptake value (SUV) statistics features and radiomics features were derived from baseline and preoperative PET images. Delta features were derived. The radiologic response and metabolic response were assessed by iRECIST and iPERCIST, respectively. The correlations between PD-L1 expression, driver-gene status, peripheral blood biomarkers, and the pathological responses (complete pathological response [CPR]; major pathological response [MPR]) were assessed. Associations between PET features and pathological responses were evaluated by logistic regression. RESULTS Thirty patients underwent surgery and 29 of them performed preoperative PET/CT. Twenty patients achieved MPR and 16 of them achieved CPR. In univariate analysis, five SUV statistics features and two radiomics features were significantly associated with pathological responses. In multi-variate analysis, SUVmax, SUVpeak, SULpeak, and End-PET-GLDM-LargeDependenceHighGrayLevelEmphasis (End-GLDM-LDHGLE) were independently associated with CPR. SUVpeak and SULpeak performed better than SUVmax and SULmax for MPR prediction. No significant correlation, neither between the radiologic response and the pathological response, nor among PD-L1, driver gene status, and baseline PET features was found. Inflammatory response biomarkers by peripheral blood showed no difference in different treatment responses. CONCLUSION The logistic regression model using comprehensive PET features contributed to predicting the pathological response after neoadjuvant toripalimab with chemotherapy in resectable stage III NSCLC patients.
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Affiliation(s)
- Yingpu Cui
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yaobin Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zerui Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Hao Long
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Lie Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xiaoping Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Nuclear Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
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Sun T, Huang S, Jiang Y, Yuan H, Wu J, Liu C, Zhang X, Tang Y, Ben X, Tang J, Zhou H, Zhang D, Xie L, Chen G, Zhao Y, Wang S, Xu H, Qiao G. Dynamic alteration in SULmax predicts early pathological tumor response and short-term prognosis in non-small cell lung cancer treated with neoadjuvant immunochemotherapy. Front Bioeng Biotechnol 2022; 10:1010672. [PMID: 36277407 PMCID: PMC9582780 DOI: 10.3389/fbioe.2022.1010672] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/20/2022] [Indexed: 02/05/2023] Open
Abstract
Introduction: Biomarkers predicting tumor response to neoadjuvant immunochemotherapy in non-small cell lung cancer (NSCLC) are still lacking despite great efforts. We aimed to assess the effectiveness of the immune PET Response Criteria in Solid Tumors via SULmax (iPERCIST-max) in predicting tumor response to neoadjuvant immunochemotherapy and short-term survival in locally advanced NSCLC. Methods: In this prospective cohort study, we calculated SULmax, SULpeak, metabolic tumor volume (MTV), total lesion glycolysis (TLG) and their dynamic percentage changes in a training cohort. We then investigated the correlation between alterations in these parameters and pathological tumor responses. Subsequently, iPERCIST-max defined by the proportional changes in the SULmax response (△SULmax%) was constructed and internally validated using a time-dependent receiver operating characteristic (ROC) curve and the area under the curve (AUC) value. A prospective cohort from the Sun Yat-Sen University Cancer Center (SYSUCC) was also included for external validation. The relationship between the iPERCIST-max responsiveness and event-free survival in the training cohort was also investigated. Results: Fifty-five patients with NSCLC were included in this study from May 2019 to December 2021. Significant alterations in post-treatment SULmax (p < 0.001), SULpeak (p < 0.001), SULmean (p < 0.001), MTV (p < 0.001), TLG (p < 0.001), and tumor size (p < 0.001) were observed compared to baseline values. Significant differences in SULpeak, SULmax, and SULmean between major pathological response (mPR) and non-mPR statuses were observed. The optimal cutoff values of the SULmax response rate were -70.0% and -88.0% using the X-tile software. The univariate and multivariate binary logistic regression showed that iPERCIST-max is the only significant key predictor for mPR status [OR = 84.0, 95% confidence interval (CI): 7.84-900.12, p < 0.001]. The AUC value for iPERCIST-max was 0.896 (95% CI: 0.776-1.000, p < 0.001). Further, external validation showed that the AUC value for iPERCIST-max in the SYSUCC cohort was 0.889 (95% CI: 0.698-1.000, p = 0.05). Significantly better event-free survival (EFS) in iPERCIST-max responsive disease (31.5 months, 95% CI 27.9-35.1) than that in iPERCIST-max unresponsive disease (22.2 months, 95% CI: 17.3-27.1 months, p = 0.024) was observed. Conclusion: iPERCIST-max could better predict both early pathological tumor response and short-term prognosis of NSCLC treated with neoadjuvant immunochemotherapy than commonly used criteria. Furthermore, large-scale prospective studies are required to confirm the generalizability of our findings.
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Affiliation(s)
- Taotao Sun
- Department of Nuclear Medicine and PET/CT-MRI Centre, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Department of Nuclear Medicine, WeiLun PET Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shujie Huang
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Yongluo Jiang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hui Yuan
- Department of Nuclear Medicine, WeiLun PET Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Junhan Wu
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
| | - Chao Liu
- Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaochun Zhang
- Department of Nuclear Medicine, WeiLun PET Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yong Tang
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaosong Ben
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jiming Tang
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Haiyu Zhou
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dongkun Zhang
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Liang Xie
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Gang Chen
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yumo Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shuxia Wang
- Department of Nuclear Medicine, WeiLun PET Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hao Xu
- Department of Nuclear Medicine and PET/CT-MRI Centre, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Guibin Qiao
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Shantou University Medical College, Shantou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
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Saadani H, Aalbersberg EA, Schats W, Hoekstra OS, Stokkel MPM, de Vet HCW. Comparing [18F]FDG PET/CT response criteria in melanoma and lung cancer patients treated with immunotherapy: a systematic review. Clin Transl Imaging 2022. [DOI: 10.1007/s40336-022-00522-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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10
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Ortiz-Vilchis P, Ramirez-Arellano A. An Entropy-Based Measure of Complexity: An Application in Lung-Damage. ENTROPY (BASEL, SWITZERLAND) 2022; 24:1119. [PMID: 36010783 PMCID: PMC9407132 DOI: 10.3390/e24081119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/23/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
The computed tomography (CT) chest is a tool for diagnostic tests and the early evaluation of lung infections, pulmonary interstitial damage, and complications caused by common pneumonia and COVID-19. Additionally, computer-aided diagnostic systems and methods based on entropy, fractality, and deep learning have been implemented to analyse lung CT images. This article aims to introduce an Entropy-based Measure of Complexity (EMC). In addition, derived from EMC, a Lung Damage Measure (LDM) is introduced to show a medical application. CT scans of 486 healthy subjects, 263 diagnosed with COVID-19, and 329 with pneumonia were analysed using the LDM. The statistical analysis shows a significant difference in LDM between healthy subjects and those suffering from COVID-19 and common pneumonia. The LDM of common pneumonia was the highest, followed by COVID-19 and healthy subjects. Furthermore, LDM increased as much as clinical classification and CO-RADS scores. Thus, LDM is a measure that could be used to determine or confirm the scored severity. On the other hand, the d-summable information model best fits the information obtained by the covering of the CT; thus, it can be the cornerstone for formulating a fractional LDM.
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11
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Annovazzi A, Ferraresi V, De Rimini ML, Sciuto R. 18F-FDG PET/CT in the clinical-diagnostic workup of patients treated with immunotherapy: when and how? Clin Transl Imaging 2022. [DOI: 10.1007/s40336-022-00514-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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12
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Prospective assessment using 18F-FDG PET/CT as a novel predictor for early response to PD-1 blockade in non-small-cell lung cancer. Sci Rep 2022; 12:11832. [PMID: 35821395 PMCID: PMC9276827 DOI: 10.1038/s41598-022-15964-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 07/01/2022] [Indexed: 11/14/2022] Open
Abstract
Anti-programmed death-1 (PD-1) blockade is a standard treatment for advanced non-small-cell lung cancer (NSCLC). However, no appropriate modality exists for monitoring its therapeutic response immediately after initiation. Therefore, we aimed to elucidate the clinical relevance of 18F-FDG PET/CT versus CT in predicting the response to PD-1 blockade in the early phase. This prospective study included a total of 54 NSCLC patients. 18F-FDG PET/CT was performed at 4 weeks and 9 weeks after PD-1 blockade monotherapy. Maximum standardized uptake values (SULmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were evaluated. Among all patients, partial metabolic response and progressive metabolic disease after PD-1 blockade were observed in 35.2% and 11.1% on SULmax, 22.2% and 51.8% on MTV, and 27.8% and 46.3% on TLG, respectively, whereas a partial response (PR) and progressive disease (PD), respectively, based on RECIST v1.1 were recognized in 35.2% and 35.2%, respectively. The predictive probability of PR (MTV: 57.9% vs. 21.1%, p = 0.044; TLG: 63.2% vs. 21.1%, p = 0.020) and PD (MTV: 78.9% vs. 47.3%, p = 0.002; TLG: 73.7% vs. 21.1%, p = 0.007) detected based on RECIST at 4 weeks after PD-1 blockade initiation was significantly higher using MTV or TLG on 18F-FDG uptake than on CT. Multivariate analysis revealed that metabolic response by MTV or TLG at 4 weeks was an independent factor for response to PD-1 blockade treatment. Metabolic assessment by MTV or TLG was superior to morphological changes on CT for predicting the therapeutic response and survival at 4 weeks after PD-1 blockade.
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13
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Lopci E, Hicks RJ, Dimitrakopoulou-Strauss A, Dercle L, Iravani A, Seban RD, Sachpekidis C, Humbert O, Gheysens O, Glaudemans AWJM, Weber W, Wahl RL, Scott AM, Pandit-Taskar N, Aide N. Joint EANM/SNMMI/ANZSNM practice guidelines/procedure standards on recommended use of [ 18F]FDG PET/CT imaging during immunomodulatory treatments in patients with solid tumors version 1.0. Eur J Nucl Med Mol Imaging 2022; 49:2323-2341. [PMID: 35376991 PMCID: PMC9165250 DOI: 10.1007/s00259-022-05780-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/22/2022] [Indexed: 12/13/2022]
Abstract
PURPOSE The goal of this guideline/procedure standard is to assist nuclear medicine physicians, other nuclear medicine professionals, oncologists or other medical specialists for recommended use of [18F]FDG PET/CT in oncological patients undergoing immunotherapy, with special focus on response assessment in solid tumors. METHODS In a cooperative effort between the EANM, the SNMMI and the ANZSNM, clinical indications, recommended imaging procedures and reporting standards have been agreed upon and summarized in this joint guideline/procedure standard. CONCLUSIONS The field of immuno-oncology is rapidly evolving, and this guideline/procedure standard should not be seen as definitive, but rather as a guidance document standardizing the use and interpretation of [18F]FDG PET/CT during immunotherapy. Local variations to this guideline should be taken into consideration. PREAMBLE The European Association of Nuclear Medicine (EANM) is a professional non-profit medical association founded in 1985 to facilitate worldwide communication among individuals pursuing clinical and academic excellence in nuclear medicine. The Society of Nuclear Medicine and Molecular Imaging (SNMMI) is an international scientific and professional organization founded in 1954 to promote science, technology and practical application of nuclear medicine. The Australian and New Zealand Society of Nuclear Medicine (ANZSNM), founded in 1969, represents the major professional society fostering the technical and professional development of nuclear medicine practice across Australia and New Zealand. It promotes excellence in the nuclear medicine profession through education, research and a commitment to the highest professional standards. EANM, SNMMI and ANZSNM members are physicians, technologists, physicists and scientists specialized in the research and clinical practice of nuclear medicine. All three societies will periodically put forth new standards/guidelines for nuclear medicine practice to help advance the science of nuclear medicine and improve service to patients. Existing standards/guidelines will be reviewed for revision or renewal, as appropriate, on their fifth anniversary or sooner, if indicated. Each standard/guideline, representing a policy statement by the EANM/SNMMI/ANZSNM, has undergone a thorough consensus process, entailing extensive review. These societies recognize that the safe and effective use of diagnostic nuclear medicine imaging requires particular training and skills, as described in each document. These standards/guidelines are educational tools designed to assist practitioners in providing appropriate and effective nuclear medicine care for patients. These guidelines are consensus documents based on current knowledge. They are not intended to be inflexible rules or requirements of practice, nor should they be used to establish a legal standard of care. For these reasons and those set forth below, the EANM, SNMMI and ANZSNM caution against the use of these standards/guidelines in litigation in which the clinical decisions of a practitioner are called into question. The ultimate judgment regarding the propriety of any specific procedure or course of action must be made by medical professionals considering the unique circumstances of each case. Thus, there is no implication that an action differing from what is laid out in the guidelines/procedure standards, standing alone, is below standard of care. To the contrary, a conscientious practitioner may responsibly adopt a course of action different from that set forth in the standards/guidelines when, in the reasonable judgment of the practitioner, such course of action is indicated by the condition of the patient, limitations of available resources or advances in knowledge or technology subsequent to publication of the guidelines/procedure standards. The practice of medicine involves not only the science, but also the art of dealing with the prevention, diagnosis, alleviation and treatment of disease. The variety and complexity of human conditions make it impossible for general guidelines to consistently allow for an accurate diagnosis to be reached or a particular treatment response to be predicted. Therefore, it should be recognized that adherence to these standards/ guidelines will not ensure a successful outcome. All that should be expected is that practitioners follow a reasonable course of action, based on their level of training, current knowledge, clinical practice guidelines, available resources and the needs/context of the patient being treated. The sole purpose of these guidelines is to assist practitioners in achieving this objective. The present guideline/procedure standard was developed collaboratively by the EANM, the SNMMI and the ANZSNM, with the support of international experts in the field. They summarize also the views of the Oncology and Theranostics and the Inflammation and Infection Committees of the EANM, as well as the procedure standards committee of the SNMMI, and reflect recommendations for which the EANM and SNMMI cannot be held responsible. The recommendations should be taken into the context of good practice of nuclear medicine and do not substitute for national and international legal or regulatory provisions.
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Affiliation(s)
- E Lopci
- Nuclear Medicine Unit, IRCCS - Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milano, Italy.
| | - R J Hicks
- The Department of Medicine, St Vincent's Medical School, the University of Melbourne, Melbourne, Australia
| | - A Dimitrakopoulou-Strauss
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - L Dercle
- Department of Radiology, New York Presbyterian, Columbia University Irving Medical Center, New York, NY, USA
| | - A Iravani
- Department of Molecular Imaging and Therapeutic Nuclear Medicine, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - R D Seban
- Department of Nuclear Medicine and Endocrine Oncology, Institut Curie, 92210, Saint-Cloud, France
- Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm, Institut Curie, 91401, Orsay, France
| | - C Sachpekidis
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - O Humbert
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur, Nice, France
- TIRO-UMR E 4320, Université Côte d'Azur, Nice, France
| | - O Gheysens
- Department of Nuclear Medicine, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain (UCLouvain), Brussels, Belgium
| | - A W J M Glaudemans
- Nuclear Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - W Weber
- Department of Nuclear Medicine, Klinikum Rechts Der Isar, Technical University Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - R L Wahl
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - A M Scott
- Department of Molecular Imaging and Therapy, Austin Health, Studley Rd, Heidelberg, Victoria, 3084, Australia
- Olivia Newton-John Cancer Research Institute, Heidelberg, Australia
- Faculty of Medicine, University of Melbourne, Melbourne, Australia
- School of Cancer Medicine, La Trobe University, Melbourne, Australia
| | - N Pandit-Taskar
- Nuclear Medicine Service, Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave., New York, NY, 10021, USA
| | - N Aide
- Nuclear Medicine Department, University Hospital, Caen, France
- INSERM ANTICIPE, Normandie University, Caen, France
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Hicks RJ. The value of the Standardized Uptake Value (SUV) and Metabolic Tumor Volume (MTV) in lung cancer. Semin Nucl Med 2022; 52:734-744. [PMID: 35624032 DOI: 10.1053/j.semnuclmed.2022.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 04/21/2022] [Indexed: 11/11/2022]
Abstract
The diagnosis, staging and therapeutic monitoring of lung cancer were amongst the first applications for which the utility of FDG PET was documented and FDG PET/CT is now a routine diagnostic tool for clinical decision-making. As well as having high sensitivity for detection of disease sites, which provides critical information about stage, the intensity of uptake provides deeper biological characterization, while the burden of disease also has potential clinical significance. These disease characteristics can easily be quantified on delayed whole-body imaging as the maximum standardized uptake value (SUVmax) and metabolic tumor volume (MTV), respectively. There have been significant efforts to harmonize the measurement of these features, particularly within the context of clinical trials. Nevertheless, however calculated, in general, a high SUVmax and large MTV have been shown to have an adverse prognostic significance. Nevertheless, the use of these parameters in the interpretation and reporting of clinical scans remains inconsistent and somewhat controversial. This review details the current status of semi-quantitative FDG PET/CT in the evaluation of lung cancer.
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Affiliation(s)
- Rodney J Hicks
- Department of Medicine, St Vincent's Medical School, University of Melbourne, Melbourne Academic Centre for Health, University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Central Clinical School, Alfred Hospital, Monash University, Melbourne VIC, Australia.
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Wu AM, Pandit-Taskar N. ImmunoPET: harnessing antibodies for imaging immune cells. Mol Imaging Biol 2022; 24:181-197. [PMID: 34550529 DOI: 10.1007/s11307-021-01652-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 09/02/2021] [Accepted: 09/06/2021] [Indexed: 01/22/2023]
Abstract
Dramatic, but uneven, progress in the development of immunotherapies for cancer has created a need for better diagnostic technologies including innovative non-invasive imaging approaches. This review discusses challenges and opportunities for molecular imaging in immuno-oncology and focuses on the unique role that antibodies can fill. ImmunoPET has been implemented for detection of immune cell subsets, activation and inhibitory biomarkers, tracking adoptively transferred cellular therapeutics, and many additional applications in preclinical models. Parallel progress in radionuclide availability and infrastructure supporting biopharmaceutical manufacturing has accelerated clinical translation. ImmunoPET is poised to provide key information on prognosis, patient selection, and monitoring immune responses to therapy in cancer and beyond.
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Affiliation(s)
- Anna M Wu
- Department of Immunology and Theranostics, Arthur Riggs Diabetes and Metabolism Research Institute, Center for Theranostics Studies, Beckman Research Institute, City of Hope, 1500 E. Duarte Rd., Duarte, CA, 91010, USA.
- Department of Radiation Oncology, City of Hope, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
| | - Neeta Pandit-Taskar
- Molecular Imaging &Therapy Svc, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Weill Cornell Medical Center, New York, NY, USA
- Center for Targeted Radioimmunotherapy and Theranostics, Ludwig Center for Cancer Immunotherapy, MSK, 1275 York Ave, New York, NY, 10065, USA
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Gupta M, Choudhury P, Jain P, Sharma M, Babu Koyyala V, Goyal S, Agarwal C, Jajodia A, Pasricha S, Sharma A, Batra U. Molecular response assessment with immune adaptive positron emission tomography response criteria in solid tumors in lung cancer patients treated with nivolumab: Is it better than immune response evaluation criteria in solid tumors? World J Nucl Med 2022. [DOI: 10.4103/wjnm.wjnm_58_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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17
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Humbert O, Bauckneht M, Gal J, Paquet M, Chardin D, Rener D, Schiazza A, Genova C, Schiappa R, Zullo L, Rossi G, Martin N, Hugonnet F, Darcourt J, Morbelli S, Otto J. Prognostic value of immunotherapy-induced organ inflammation assessed on 18FDG PET in patients with metastatic non-small cell lung cancer. Eur J Nucl Med Mol Imaging 2022; 49:3878-3891. [PMID: 35562529 PMCID: PMC9399195 DOI: 10.1007/s00259-022-05788-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/30/2022] [Indexed: 01/09/2023]
Abstract
PURPOSE We evaluated the prognostic value of immunotherapy-induced organ inflammation observed on 18FDG PET in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICPIs). METHODS Data from patients with IIIB/IV NSCLC included in two different prospective trials were analyzed. 18FDG PET/CT exams were performed at baseline (PETBaseline) and repeated after 7-8 weeks (PETInterim1) and 12-16 weeks (PETInterim2) of treatment, using iPERCIST for tumor response evaluation. The occurrence of abnormal organ 18FDG uptake, deemed to be due to ICPI-related organ inflammation, was collected. RESULTS Exploratory cohort (Nice, France): PETInterim1 and PETInterim2 revealed the occurrence of at least one ICPI-induced organ inflammation in 72.8% of patients, including midgut/hindgut inflammation (33.7%), gastritis (21.7%), thyroiditis (18.5%), pneumonitis (17.4%), and other organ inflammations (9.8%). iPERCIST tumor response was associated with improved progression-free survival (p < 0.001). iPERCIST tumor response and immuno-induced gastritis assessed on PET were both associated with improved overall survival (OS) (p < 0.001 and p = 0.032). Combining these two independent variables, we built a model predicting patients' 2-year OS with a sensitivity of 80.3% and a specificity of 69.2% (AUC = 72.7). Validation cohort (Genova, Italy): Immuno-induced gastritis (19.6% of patients) was associated with improved OS (p = 0.04). The model built previously predicted 2-year OS with a sensitivity and specificity of 72.0% and 63.6% (AUC = 70.7) and 3-year OS with a sensitivity and specificity of 69.2% and 80.0% (AUC = 78.2). CONCLUSION Immuno-induced gastritis revealed by early interim 18FDG PET in around 20% of patients with NSCLC treated with ICPI is a novel and reproducible imaging biomarker of improved OS.
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Affiliation(s)
- Olivier Humbert
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur (UCA), 33 Avenue de Valombrose, 06189, Nice, France.
- TIRO-UMR E 4320, UCA/CEA, Nice, France.
| | - Matteo Bauckneht
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Jocelyn Gal
- Department of Biostatistics, Centre Antoine-Lacassagne, Nice, France
| | - Marie Paquet
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur (UCA), 33 Avenue de Valombrose, 06189, Nice, France
| | - David Chardin
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur (UCA), 33 Avenue de Valombrose, 06189, Nice, France
- TIRO-UMR E 4320, UCA/CEA, Nice, France
| | - David Rener
- Department of Biostatistics, Centre Antoine-Lacassagne, Nice, France
| | - Aurelie Schiazza
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur (UCA), 33 Avenue de Valombrose, 06189, Nice, France
| | - Carlo Genova
- UOC Clinica Di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Dipartimento Di Medicina Interna E Specialità Mediche (DiMI), Facoltà Di Medicina E Chirurgia, Università Degli Studi Di Genova, Genoa, Italy
| | - Renaud Schiappa
- Department of Biostatistics, Centre Antoine-Lacassagne, Nice, France
| | - Lodovica Zullo
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Giovanni Rossi
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
- UO Oncologia Medica, Ospedale Padre Antero Micone, Genoa, Italy
| | - Nicolas Martin
- Department of Medical Oncology, Centre Antoine-Lacassagne, UCA, Nice, France
| | - Florent Hugonnet
- Department of Nuclear Medicine, Centre Hospitalier Princesse Grâce, Monaco, Monaco
| | - Jacques Darcourt
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur (UCA), 33 Avenue de Valombrose, 06189, Nice, France
- TIRO-UMR E 4320, UCA/CEA, Nice, France
| | - Silvia Morbelli
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Josiane Otto
- Department of Medical Oncology, Centre Antoine-Lacassagne, UCA, Nice, France
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18
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Eaton KD, Romine PE, Martins RG, Leblond A, Carr LL, Vesselle HJ. Adaptive Fluorodeoxyglucose-Positron Emission Tomography Based Chemotherapy Selection for Metastatic Non-small Cell Lung Cancer. Cureus 2021; 13:e18804. [PMID: 34796077 PMCID: PMC8590825 DOI: 10.7759/cureus.18804] [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] [Accepted: 10/15/2021] [Indexed: 11/17/2022] Open
Abstract
Objectives The change in tumor fluorodeoxyglucose (FDG) uptake by positron emission tomography (PET) scan after one cycle of platinum-based chemotherapy has been shown to predict progression-free and overall survival (PFS and OS) among advanced non-small cell lung cancer (NSCLC) patients. Using early FDG-PET response to determine subsequent chemotherapy, we aim to evaluate the role that adaptive chemotherapy regimens have on later CT response, PFS, and OS in patients with advanced NSCLC. Materials and Methods Chemotherapy-naïve patients with metastatic NSCLC received carboplatin and paclitaxel (CP) on day one and repeated FDG-PET on day 18. PET-responding patients continued CP chemotherapy for a total of four cycles. PET non-responders were switched to alternate docetaxel and gemcitabine (DG) for three additional cycles. The primary outcome was the CT Response Evaluation Criteria in Solid Tumors (RECIST 1.0) response. Secondary endpoints included PFS and OS. Results Forty-six patients initiated treatment with chemotherapy on trial and were evaluable by PET/CT. Of these, 19 (41%) met the FDG-PET criteria for the response after a single cycle of CP. Only one non-responding patient had a CT response. Despite the lack of CT response in the DG arm, no trend for worse PFS or OS was seen between the two arms. Conclusions This work demonstrates that changing chemotherapy in the event of non-response by PET did not lead to improved CT RECIST response. However, non-responding patients who switched chemotherapy had similar PFS and OS to those who responded by PET and continued the same regimen.
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Affiliation(s)
- Keith D Eaton
- Medical Oncology, University of Washington, Seattle, USA
| | | | | | - Antoine Leblond
- Nuclear Medicine, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, CAN
| | | | - Hubert J Vesselle
- Nuclear Medicine, Fred Hutchinson Cancer Research Center, Seattle, USA
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19
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Lopci E. Immunotherapy Monitoring with Immune Checkpoint Inhibitors Based on [ 18F]FDG PET/CT in Metastatic Melanomas and Lung Cancer. J Clin Med 2021; 10:jcm10215160. [PMID: 34768681 PMCID: PMC8584484 DOI: 10.3390/jcm10215160] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 12/15/2022] Open
Abstract
Immunotherapy with checkpoint inhibitors has prompted a major change not only in cancer treatment but also in medical imaging. In parallel with the implementation of new drugs modulating the immune system, new response criteria have been developed, aiming to overcome clinical drawbacks related to the new, unusual, patterns of response characterizing both solid tumors and lymphoma during the course of immunotherapy. The acknowledgement of pseudo-progression, hyper-progression, immune-dissociated response and so forth, has become mandatory for all imagers dealing with this clinical scenario. A long list of acronyms, i.e., irRC, iRECIST, irRECIST, imRECIST, PECRIT, PERCIMT, imPERCIST, iPERCIST, depicts the enormous effort made by radiology and nuclear medicine physicians in the last decade to optimize imaging parameters for better prediction of clinical benefit in immunotherapy regimens. Quite frequently, a combination of clinical-laboratory data with imaging findings has been tested, proving the ability to stratify patients into various risk groups. The next steps necessarily require a large scale validation of the most robust criteria, as well as the clinical implementation of immune-targeting tracers for immuno-PET or the exploitation of radiomics and artificial intelligence as complementary tools during the course of immunotherapy administration. For the present review article, a summary of PET/CT role for immunotherapy monitoring will be provided. By scrolling into various cancer types and applied response criteria, the reader will obtain necessary information for better understanding the potentials and limitations of the modality in the clinical setting.
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Affiliation(s)
- Egesta Lopci
- Nuclear Medicine Unit, IRCCS-Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, MI, Italy
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20
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Ito K, Kitajima K, Toriihara A, Ishibashi M, Nakahara T, Daisaki H, Ohe Y, Honda R, Kijima T, Hasegawa S, Nakajo M. 18F-FDG PET/CT for monitoring anti-PD-1 therapy in patients with non-small cell lung cancer using SUV harmonization of results obtained with various types of PET/CT scanners used at different centers. Ann Nucl Med 2021; 35:1253-1263. [PMID: 34370219 DOI: 10.1007/s12149-021-01667-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 08/03/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The prognostic value of treatment response in patients with non-small cell lung cancer (NSCLC) treated with immune-checkpoint inhibitors (ICIs) shown by 18F-fludeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) results obtained with multiple types of PET scanners using standardized uptake value (SUV) harmonization was evaluated. METHODS Fifty-eight patients treated with ICIs who underwent 18F-FDG PET/CT examinations with nine types of PET scanners at six hospitals were enrolled. SUV harmonization of multiple PET scanner results was performed using the dedicated software packages "RAVAT" and "RC Tool for Harmonization". Tumor response was assessed by change in sum of harmonized SUVmax, according to the European Organization for Research and Treatment of Cancer (EORTC5) or the SUV of up to five lesions normalized to lean body mass, according to the PET Response Criteria in Solid Tumors (PERCIST5) and immunotherapy-modified PERCIST (imPERCIST5) criteria. The correlation between tumor response according to those three definitions and overall survival (OS) was evaluated and compared to known prognostic factors. RESULTS One-year OS in responders and non-responders for harmonized EROTC5 was 86 and 32%, for harmonized PERCIST5 was 86 and 32%, and for harmonized imPERCIST5 was 80 and 30%, respectively (each p = 0.001). Univariate analysis showed that all response criteria remained as prognostic factors. However, there was an overlap for the categories stable metabolic disease (SMD) and progression metabolic disease (PMD) in survival curves using the PET treatment response criteria. CONCLUSION In patients with NSCLC treated with ICIs, tumor response based on the harmonized response criteria was associated with OS. PET response criteria using harmonized metabolic parameters may be difficult to routinely employ in daily practice due to overlapping SMD and PMD, although may have a supporting role for determining prognosis.
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Affiliation(s)
- Kimiteru Ito
- Department of Diagnostic Radiology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
| | - Kazuhiro Kitajima
- Division of Nuclear Medicine and PET Center, Department of Radiology, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan
| | - Akira Toriihara
- PET Imaging Center, Asahi General Hospital, 1326 I, Asahi, Chiba, 289-2511, Japan
| | - Mana Ishibashi
- Division of Radiology, Department of Pathophysiological and Therapeutic Sciences, Tottori University, 86 Nishi-cho, Yonago, Tottori, 683-8503, Japan
| | - Tadaki Nakahara
- Department of Diagnostic Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Hiromitsu Daisaki
- Graduate School of Radiological Technology, Gunma Prefectural College of Health Science, 323-1 Kamioki machi, Maebashi, Gunma, 371-0052, Japan
| | - Yuichiro Ohe
- Department of Thoracic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Ryoichi Honda
- Department of Respiratory Medicine, Asahi General Hospital, 1326 I, Asahi, Chiba, 289-2511, Japan
| | - Takashi Kijima
- Department of Respiratory Medicine and Hematology, Department of Internal Medicine, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan
| | - Seiki Hasegawa
- Department of Thoracic Surgery, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan
| | - Masatoyo Nakajo
- Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1, Sakuragaoka, Kagoshima, 890-8544, Japan
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21
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Eze C, Schmidt-Hegemann NS, Sawicki LM, Kirchner J, Roengvoraphoj O, Käsmann L, Mittlmeier LM, Kunz WG, Tufman A, Dinkel J, Ricke J, Belka C, Manapov F, Unterrainer M. PET/CT imaging for evaluation of multimodal treatment efficacy and toxicity in advanced NSCLC-current state and future directions. Eur J Nucl Med Mol Imaging 2021; 48:3975-3989. [PMID: 33760957 PMCID: PMC8484219 DOI: 10.1007/s00259-021-05211-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 01/18/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE The advent of immune checkpoint inhibitors (ICIs) has revolutionized the treatment of advanced NSCLC, leading to a string of approvals in recent years. Herein, a narrative review on the role of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) in the ever-evolving treatment landscape of advanced NSCLC is presented. METHODS This comprehensive review will begin with an introduction into current treatment paradigms incorporating ICIs; the evolution of CT-based criteria; moving onto novel phenomena observed with ICIs and the current state of hybrid imaging for diagnosis, treatment planning, evaluation of treatment efficacy and toxicity in advanced NSCLC, also taking into consideration its limitations and future directions. CONCLUSIONS The advent of ICIs marks the dawn of a new era bringing forth new challenges particularly vis-à-vis treatment response assessment and observation of novel phenomena accompanied by novel systemic side effects. While FDG PET/CT is widely adopted for tumor volume delineation in locally advanced disease, response assessment to immunotherapy based on current criteria is of high clinical value but has its inherent limitations. In recent years, modifications of established (PET)/CT criteria have been proposed to provide more refined approaches towards response evaluation. Not only a comprehensive inclusion of PET-based response criteria in prospective randomized controlled trials, but also a general harmonization within the variety of PET-based response criteria is pertinent to strengthen clinical implementation and widespread use of hybrid imaging for response assessment in NSCLC.
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Affiliation(s)
- Chukwuka Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
| | | | - Lino Morris Sawicki
- Medical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, D-40225, Dusseldorf, Germany
| | - Julian Kirchner
- Medical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, D-40225, Dusseldorf, Germany
| | - Olarn Roengvoraphoj
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Lukas Käsmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Lena M Mittlmeier
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Amanda Tufman
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Division of Respiratory Medicine and Thoracic Oncology, Department of Internal Medicine V, Thoracic Oncology Center Munich, University of Munich (LMU), Munich, Germany
| | - Julien Dinkel
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, Asklepios Lung Center Munich-Gauting, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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22
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Differential role of residual metabolic tumor volume in inoperable stage III NSCLC after chemoradiotherapy ± immune checkpoint inhibition. Eur J Nucl Med Mol Imaging 2021; 49:1407-1416. [PMID: 34664091 PMCID: PMC8921088 DOI: 10.1007/s00259-021-05584-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 10/09/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND The PET-derived metabolic tumor volume (MTV) is an independent prognosticator in non-small cell lung cancer (NSCLC) patients. We analyzed the prognostic value of residual MTV (rMTV) after completion of chemoradiotherapy (CRT) in inoperable stage III NSCLC patients with and without immune checkpoint inhibition (ICI). METHODS Fifty-six inoperable stage III NSCLC patients (16 female, median 65.0 years) underwent 18F-FDG PET/CT after completion of standard CRT. rMTV was delineated on 18F-FDG PET/CT using a standard threshold (liver SUVmean + 2 × standard deviation). 21/56 patients underwent additional ICI (CRT-IO, 21/56 patients) thereafter. Patients were divided in volumetric subgroups using median split dichotomization (MTV ≤ 4.3 ml vs. > 4.3 ml). rMTV, clinical features, and ICI-application were correlated with clinical outcome parameters (progression-free survival (PFS), local PFS (LPFS), and overall survival (OS). RESULTS Overall, median follow-up was 52.0 months. Smaller rMTV was associated with longer median PFS (29.3 vs. 10.5 months, p = 0.015), LPFS (49.9 vs. 13.5 months, p = 0.001), and OS (63.0 vs. 23.0 months, p = 0.003). CRT-IO patients compared to CRT patients showed significantly longer median PFS (29.3 vs. 11.2 months, p = 0.034), LPFS (median not reached vs. 14.0 months, p = 0.016), and OS (median not reached vs. 25.2 months, p = 0.007). In the CRT subgroup, smaller rMTV was associated with longer median PFS (33.5 vs. 8.6 months, p = 0.001), LPFS (49.9 vs. 10.1 months, p = 0.001), and OS (63.0 vs. 16.3 months, p = 0.004). In the CRT-IO subgroup, neither PFS, LPFS, nor OS were associated with MTV (p > 0.05 each). The findings were confirmed in subsequent multivariate analyses. CONCLUSION In stage III NSCLC, smaller rMTV is highly associated with superior clinical outcome, especially in patients undergoing CRT without ICI. Patients with CRT-IO show significantly improved outcome compared to CRT patients. Of note, clinical outcome in CRT-IO patients is independent of residual MTV. Hence, even patients with large rMTV might profit from ICI despite extensive tumor load.
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23
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Liberini V, Mariniello A, Righi L, Capozza M, Delcuratolo MD, Terreno E, Farsad M, Volante M, Novello S, Deandreis D. NSCLC Biomarkers to Predict Response to Immunotherapy with Checkpoint Inhibitors (ICI): From the Cells to In Vivo Images. Cancers (Basel) 2021; 13:4543. [PMID: 34572771 PMCID: PMC8464855 DOI: 10.3390/cancers13184543] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/06/2021] [Accepted: 09/08/2021] [Indexed: 12/24/2022] Open
Abstract
Lung cancer remains the leading cause of cancer-related death, and it is usually diagnosed in advanced stages (stage III or IV). Recently, the availability of targeted strategies and of immunotherapy with checkpoint inhibitors (ICI) has favorably changed patient prognosis. Treatment outcome is closely related to tumor biology and interaction with the tumor immune microenvironment (TME). While the response in molecular targeted therapies relies on the presence of specific genetic alterations in tumor cells, accurate ICI biomarkers of response are lacking, and clinical outcome likely depends on multiple factors that are both host and tumor-related. This paper is an overview of the ongoing research on predictive factors both from in vitro/ex vivo analysis (ranging from conventional pathology to molecular biology) and in vivo analysis, where molecular imaging is showing an exponential growth and use due to technological advancements and to the new bioinformatics approaches applied to image analyses that allow the recovery of specific features in specific tumor subclones.
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Affiliation(s)
- Virginia Liberini
- Department of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Turin, Italy;
- Nuclear Medicine Department, S. Croce e Carle Hospital, 12100 Cuneo, Italy
| | - Annapaola Mariniello
- Thoracic Oncology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (A.M.); (M.D.D.); (S.N.)
| | - Luisella Righi
- Pathology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (L.R.); (M.V.)
| | - Martina Capozza
- Molecular & Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126 Torino, Italy; (M.C.); (E.T.)
| | - Marco Donatello Delcuratolo
- Thoracic Oncology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (A.M.); (M.D.D.); (S.N.)
| | - Enzo Terreno
- Molecular & Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126 Torino, Italy; (M.C.); (E.T.)
| | - Mohsen Farsad
- Nuclear Medicine, Central Hospital Bolzano, 39100 Bolzano, Italy;
| | - Marco Volante
- Pathology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (L.R.); (M.V.)
| | - Silvia Novello
- Thoracic Oncology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (A.M.); (M.D.D.); (S.N.)
| | - Désirée Deandreis
- Department of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Turin, Italy;
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Zukotynski KA, Hasan OK, Lubanovic M, Gerbaudo VH. Update on Molecular Imaging and Precision Medicine in Lung Cancer. Radiol Clin North Am 2021; 59:693-703. [PMID: 34392913 DOI: 10.1016/j.rcl.2021.05.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Precision medicine integrates molecular pathobiology, genetic make-up, and clinical manifestations of disease in order to classify patients into subgroups for the purposes of predicting treatment response and suggesting outcome. By identifying those patients who are most likely to benefit from a given therapy, interventions can be tailored to avoid the expense and toxicity of futile treatment. Ultimately, the goal is to offer the right treatment, to the right patient, at the right time. Lung cancer is a heterogeneous disease both functionally and morphologically. Further, over time, clonal proliferations of cells may evolve, becoming resistant to specific therapies. PET is a sensitive imaging technique with an important role in the precision medicine algorithm of lung cancer patients. It provides anatomo-functional insight during diagnosis, staging, and restaging of the disease. It is a prognostic biomarker in lung cancer patients that characterizes tumoral heterogeneity, helps predict early response to therapy, and may direct the selection of appropriate treatment.
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Affiliation(s)
- Katherine A Zukotynski
- Department of Medicine, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada; Department of Radiology, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada
| | - Olfat Kamel Hasan
- Department of Medicine, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada; Department of Radiology, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada
| | - Matthew Lubanovic
- Department of Radiology, McMaster University, 1200 Main Street West, Hamilton, Ontario L9G 4X5, Canada
| | - Victor H Gerbaudo
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02492, USA.
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25
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Sato M, Umeda Y, Tsujikawa T, Mori T, Morikawa M, Anzai M, Waseda Y, Kadowaki M, Kiyono Y, Okazawa H, Ishizuka T. Predictive value of 3'-deoxy-3'- 18F-fluorothymidine PET in the early response to anti-programmed death-1 therapy in patients with advanced non-small cell lung cancer. J Immunother Cancer 2021; 9:jitc-2021-003079. [PMID: 34301816 PMCID: PMC8296775 DOI: 10.1136/jitc-2021-003079] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2021] [Indexed: 01/13/2023] Open
Abstract
Background Anti-programmed death-1 (anti-PD-1) therapy has shown clinical success in patients with advanced non-small cell lung cancer (NSCLC). However, it is difficult to evaluate the early response to anti-PD-1 therapy. We determined whether changes in 3′-deoxy-3′-[18F]-fluorothymidine (18F-FLT) PET parameters before and soon after treatment initiation predicted the therapeutic effect of anti-PD-1 antibody. Methods Twenty-six patients with advanced NSCLC treated with anti-PD-1 antibody were enrolled prospectively and underwent 18F-FLT PET before and at 2 and 6 weeks after treatment initiation. Changes in maximal standardized uptake value (ΔSUVmax), proliferative tumor volume (ΔPTV) and total lesion proliferation (ΔTLP) of the lesions were calculated and evaluated for their associations with the clinical response to therapy. Results The disease control rate was 64%. Patients with non-progressive disease (non-PD) had significantly decreased TLP at 2 weeks, and decreased SUVmax, PTV, and TLP at 6 weeks, compared with those with PD, while three of eight (37.5%) patients who responded had increased TLP from baseline at 2 weeks (ie, pseudoprogression). Among the parameters that changed between baseline and 2 weeks, ΔPTV0-2 and ΔTLP0-2 had the highest accuracy (76.0%) to predict PD. Among the parameters that changed between baseline and 6 weeks, ΔSUVmax0-6, ΔPTV0-6 and ΔTLP0-6 had the highest accuracy (90.9%) to predict PD. ΔTLP0-2 (≥60%, HR 3.41, 95% CI 1.34–8.65, p=0.010) and ΔTLP0-6 (≥50%, HR 31.4, 95% CI 3.55 to 276.7, p=0.0019) were indicators of shorter progression-free survival. Conclusions Changes in 18F-FLT PET parameters may have value as an early predictive biomarker for the response to anti-PD-1 therapy in patients with NSCLC. However, it should be noted that pseudoprogression was observed in 18F-FLT PET imaging at 2 weeks after treatment initiation. Trial registration number jRCTs051180147.
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Affiliation(s)
- Masayuki Sato
- Third Department of Internal Medicine, University of Fukui, Eiheiji, Fukui, Japan.,Department of Internal Medicine, Municipal Tsuruga Hospital, Tsuruga-shi, Fukui, Japan
| | - Yukihiro Umeda
- Third Department of Internal Medicine, University of Fukui, Eiheiji, Fukui, Japan
| | - Tetsuya Tsujikawa
- Biomedical Imaging Research Center, University of Fukui, Eiheiji, Fukui, Japan
| | - Tetsuya Mori
- Biomedical Imaging Research Center, University of Fukui, Eiheiji, Fukui, Japan
| | - Miwa Morikawa
- Third Department of Internal Medicine, University of Fukui, Eiheiji, Fukui, Japan.,Department of Internal Medicine, Tokyo Shinagawa Hospital, Tokyo, Japan
| | - Masaki Anzai
- Third Department of Internal Medicine, University of Fukui, Eiheiji, Fukui, Japan
| | - Yuko Waseda
- Third Department of Internal Medicine, University of Fukui, Eiheiji, Fukui, Japan
| | - Maiko Kadowaki
- Third Department of Internal Medicine, University of Fukui, Eiheiji, Fukui, Japan
| | - Yasushi Kiyono
- Biomedical Imaging Research Center, University of Fukui, Eiheiji, Fukui, Japan
| | - Hidehiko Okazawa
- Biomedical Imaging Research Center, University of Fukui, Eiheiji, Fukui, Japan
| | - Tamotsu Ishizuka
- Third Department of Internal Medicine, University of Fukui, Eiheiji, Fukui, Japan
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The Role of the Immune Metabolic Prognostic Index in Patients with Non-Small Cell Lung Cancer (NSCLC) in Radiological Progression during Treatment with Nivolumab. Cancers (Basel) 2021; 13:cancers13133117. [PMID: 34206545 PMCID: PMC8268031 DOI: 10.3390/cancers13133117] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 06/08/2021] [Accepted: 06/20/2021] [Indexed: 12/15/2022] Open
Abstract
Simple Summary Identifying reliable prognostic biomarkers of progression in the early phases of treatment is crucial in patients undergoing immune checkpoints inhibitors (ICI) administration for advanced non-small cell lung cancer (NSCLC). With this aim, in this study we combined the prognostic power of the degree of systemic inflammation (depicted by peripheral inflammation indexes), the quantification of the metabolically active tumor burden (estimated using 18F-fluorodeoxyglucose positron emission tomography/computed tomography) as well as their combination in NSCLC patients receiving immune checkpoints inhibitors. This combined approach could be used to improve the risk stratification and the subsequent clinical management in NSCLC patients treated with immune checkpoints inhibitors. Abstract An emerging clinical need is represented by identifying reliable biomarkers able to discriminate between responders and non-responders among patients showing imaging progression during the administration of immune checkpoints inhibitors for advanced non-small cell lung cancer (NSCLC). In the present study, we analyzed the prognostic power of peripheral-blood systemic inflammation indexes and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) in this clinical setting. In 45 patients showing radiological progression (defined as RECIST 1.1 progressive disease) during Nivolumab administration, the following lab and imaging parameters were collected: neutrophil-to-lymphocyte ratio (NLR), derived-NLR (dNLR), lymphocyte-to-monocyte ratio (LMR), platelets-to-lymphocyte ratio (PLR), systemic inflammation index (SII), maximum standardized uptake value, metabolic tumor volume (MTV), and total lesion glycolysis (TLG). MTV and SII independently predicted OS. Their combination in the immune metabolic prognostic index (IMPI) allowed the identification of patients who might benefit from immunotherapy continuation, despite radiological progression. The combination of FDG PET/CT volumetric data with SII also approximates the immune-metabolic response with respect to baseline, providing additional independent prognostic insights. In conclusion, the degree of systemic inflammation, the quantification of the metabolically active tumor burden, and their combination might disclose the radiological progression in NSCLC patients receiving Nivolumab.
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Mittlmeier LM, Brendel M, Beyer L, Albert NL, Todica A, Zacherl MJ, Wenter V, Herlemann A, Kretschmer A, Ledderose ST, Schmidt-Hegemann NS, Kunz WG, Ricke J, Bartenstein P, Ilhan H, Unterrainer M. Feasibility of Different Tumor Delineation Approaches for 18F-PSMA-1007 PET/CT Imaging in Prostate Cancer Patients. Front Oncol 2021; 11:663631. [PMID: 34094956 PMCID: PMC8176856 DOI: 10.3389/fonc.2021.663631] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/19/2021] [Indexed: 12/22/2022] Open
Abstract
Background Delineation of PSMA-positive tumor volume on PET using PSMA-ligands is of highest clinical interest as changes of PSMA-PET/CT-derived whole tumor volume (WTV) have shown to correlate with treatment response in metastatic prostate cancer patients. So far, WTV estimation was performed on PET using 68Ga-labeled ligands; nonetheless, 18F-labeled PET ligands are gaining increasing importance due to advantages over 68Ga-labeled compounds. However, standardized tumor delineation methods for 18F-labeled PET ligands have not been established so far. As correlation of PET-based information and morphological extent in osseous and visceral metastases is hampered by morphological delineation, low contrast in liver tissue and movement artefacts, we correlated CT-based volume of lymph node metastases (LNM) and different PET-based delineation approaches for thresholding on 18F-PSMA-1007 PET. Methods Fifty patients with metastatic prostate cancer, 18F-PSMA-1007 PET/CT and non-bulky LNM (short-axis diameter ≥10mm) were included. Fifty LNM were volumetrically assessed on contrast-enhanced CT (volumetric reference standard). Different approaches for tumor volume delineation were applied and correlated with the reference standard: I) fixed SUV threshold, II) isocontour thresholding relative to SUVmax (SUV%), and thresholds relative to III) liver (SUVliver), IV) parotis (SUVparotis) and V) spleen (SUVspleen). Results A fixed SUV of 4.0 (r=0.807, r2 = 0.651, p<0.001) showed the best overall association with the volumetric reference. 55% SUVmax (r=0.627, r2 = 0.393, p<0.001) showed highest association using an isocontour-based threshold. Best background-based approaches were 60% SUVliver (r=0.715, r2 = 0.511, p<0.001), 80% SUVparotis (r=0.762, r2 = 0.581, p<0.001) and 60% SUVspleen (r=0.645, r2 = 0.416, p<0.001). Background tissues SUVliver, SUVparotis & SUVspleen did not correlate (p>0.05 each). Recently reported cut-offs for intraprostatic tumor delineation (isocontour 44% SUVmax, 42% SUVmax and 20% SUVmax) revealed inferior association for LNM delineation. Conclusions A threshold of SUV 4.0 for tumor delineation showed highest association with volumetric reference standard irrespective of potential changes in PSMA-avidity of background tissues (e. g. parotis). This approach is easily applicable in clinical routine without specific software requirements. Further studies applying this approach for total tumor volume delineation are initiated.
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Affiliation(s)
- Lena M Mittlmeier
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Andrei Todica
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Mathias J Zacherl
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Vera Wenter
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Annika Herlemann
- Department of Urology, University Hospital, LMU Munich, Munich, Germany
| | | | | | | | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Harun Ilhan
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Marcus Unterrainer
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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Monaco L, Gemelli M, Gotuzzo I, Bauckneht M, Crivellaro C, Genova C, Cortinovis D, Zullo L, Ammoni LC, Bernasconi DP, Rossi G, Morbelli S, Guerra L. Metabolic Parameters as Biomarkers of Response to Immunotherapy and Prognosis in Non-Small Cell Lung Cancer (NSCLC): A Real World Experience. Cancers (Basel) 2021; 13:cancers13071634. [PMID: 33915801 PMCID: PMC8037395 DOI: 10.3390/cancers13071634] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 03/26/2021] [Accepted: 03/29/2021] [Indexed: 12/22/2022] Open
Abstract
Immune-checkpoint inhibitors (ICIs) have been proven to have great efficacy in non-small cell lung cancer (NSCLC) as single agents or in combination therapy, being capable to induce deep and durable remission. However, severe adverse events may occur and about 40% of patients do not benefit from the treatment. Predictive factors of response to ICIs are needed in order to customize treatment. The aim of this study is to evaluate the correlation between quantitative positron emission tomography (PET) parameters defined before starting ICI therapy and responses to treatment and patient outcome. We retrospectively analyzed 92 NSCLC patients treated with nivolumab, pembrolizumab or atezolizumab. Basal PET/computed tomography (CT) scan parameters (whole-body metabolic tumor volume-wMTV, total lesion glycolysis-wTLG, higher standardized uptake volume maximum and mean-SUVmax and SUVmean) were calculated for each patient and correlated with outcomes. Patients who achieved disease control (complete response + partial response + stable disease) had significantly lower MTV median values than patients who had not (progressive disease) (77 vs. 160.2, p = 0.039). Furthermore, patients with MTV and TLG values lower than the median values had improved OS compared to patients with higher MTV and TLG (p = 0.03 and 0.05, respectively). No relation was found between the other parameters and outcome. In conclusion, baseline metabolic tumor burden, measured with MTV, might be an independent predictor of treatment response to ICI and a prognostic biomarker in NSCLC patients.
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Affiliation(s)
- Lavinia Monaco
- School of Medicine and Surgery, University of Milano Bicocca, 20900 Monza, Italy; (L.M.); (L.G.)
| | - Maria Gemelli
- Medical Oncology, ASST Monza, San Gerardo Hospital, 20900 Monza, Italy; (M.G.); (D.C.)
| | - Irene Gotuzzo
- School of Medicine and Surgery, University of Milano Bicocca, 20900 Monza, Italy; (L.M.); (L.G.)
- Correspondence:
| | - Matteo Bauckneht
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (M.B.); (S.M.)
- Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, 16132 Genoa, Italy
| | - Cinzia Crivellaro
- Nuclear Medicine, ASST Monza San Gerardo Hospital, 20900 Monza, Italy;
| | - Carlo Genova
- UOC Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy;
- Dipartimento di Medicina Interna e Specialità Mediche (DiMI), Facoltà di Medicina e Chirurgia, Università degli Studi di Genova, 16132 Genova, Italy
| | - Diego Cortinovis
- Medical Oncology, ASST Monza, San Gerardo Hospital, 20900 Monza, Italy; (M.G.); (D.C.)
| | - Lodovica Zullo
- UOC Oncologia Medica 2, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy;
| | | | - Davide Paolo Bernasconi
- Bicocca Biostatistics Bioinformatics and Bioimaging Center—B4, School of Medicine and Surgery, University Milano Bicocca, 20128 Milano, Italy;
| | - Giovanni Rossi
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy;
- UO Oncologia Medica, Ospedale Padre Antero Micone, 16153 Genova, Italy
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (M.B.); (S.M.)
- Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, 16132 Genoa, Italy
| | - Luca Guerra
- School of Medicine and Surgery, University of Milano Bicocca, 20900 Monza, Italy; (L.M.); (L.G.)
- Nuclear Medicine, ASST Monza San Gerardo Hospital, 20900 Monza, Italy;
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Zarogoulidis P, Hohenforst-Schmidt W, Huang H, Zhou J, Wang Q, Wang X, Xia Y, Ding Y, Bai C, Kosmidis C, Sapalidis K, Sardeli C, Tsakiridis K, Zaric B, Kovacevic T, Stojsic V, Sarcev T, Bursac D, Kukic B, Baka S, Athanasiou E, Hatzibougias D, Michalopoulou-Manoloutsiou E, Petanidis S, Drougas D, Drevelegas K, Paliouras D, Barbetakis N, Vagionas A, Freitag L, Lallas A, Boukovinas I, Petridis D, Ioannidis A, Matthaios D, Romanidis K, Karapantzou C. Intratumoral Treatment with Chemotherapy and Immunotherapy for NSCLC with EBUS-TBNA 19G. J Cancer 2021; 12:2560-2569. [PMID: 33854617 PMCID: PMC8040712 DOI: 10.7150/jca.55322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 01/03/2021] [Indexed: 11/16/2022] Open
Abstract
Introduction: Immunotherapy is being used for the past five years either as first line or second line treatment with great results. Chemotherapy and radiotherapy have been also used as combination to immunotherapy to further enhance this type of treatment. Intratumoral treatment has been previously proposed as a treatment option for certain non-small cell lung cancer patients. Patients and Methods: We recruited in total seventy four patients with non-small cell lung cancer in their second line treatment who received only chemotherapy in their first line treatment with programmed death-ligand-1 ≤ 50. Only adenocarcinoma or squamous cell carcinoma, and all negative for epidermal growth factor receptor, anaplastic lymphoma kinase, proto-oncogene tyrosine-protein kinase-1 and proto-oncogene B-Raf. Data were first examined with descriptive statistics choosing frequencies for categorical variables and histograms for the continuous ones. Twenty five received only intravenous immunotherapy and forty-nine intravenous cisplatin with immunotherapy. Data were first examined with descriptive statistics choosing frequencies for categorical variables and histograms for the continuous ones. Results: The relationships between changes of performance status and disease progression were examined via a single correspondence analysis. The two-dimensional scores (coordinates) derived from the correspondence analysis were then regressed against the predictors to form distinct splits and nodes obtaining quantitative results. The best fit is usually achieved by lowering exhaustively the AICc criterion and looking in parallel the change of R2 expecting improvements more than 5%. both types of therapy are capable of producing best ameliorative effects, when either the programmed death-ligand-1 expression or parenchymal site in joint with low pack years are present in the sampling data. Conclusions: Intratumoral treatment combination with cisplatin plus immunotherapy indifferent of nivolumab or pembrolizumab combination is an effective choice. In specific for those with endobronchial lesions. Moreover; patients with programmed death-ligand-1 ≥ 50 had their performance status and disease progression improved over the eight month observation.
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Affiliation(s)
- Paul Zarogoulidis
- 3rd Department of Surgery, ``AHEPA`` University Hospital, Aristotle University of Thessaloniki, Medical School, Thessaloniki, Greece
| | - Wolfgang Hohenforst-Schmidt
- Sana Clinic Group Franken, Department of Cardiology / Pulmonology / Intensive Care / Nephrology, ''Hof'' Clinics, University of Erlangen, Hof, Germany
| | - Haidong Huang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Naval Medical University ( Changhai Hospital, Second Military Medical University), Shanghai, China
| | - Jun Zhou
- Department of Respiratory, Changzhou maternal and child health care hospital affiliated to Nanjing Medical University, Jiangsu Changzhou, China
| | - Qin Wang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Naval Medical University ( Changhai Hospital, Second Military Medical University), Shanghai, China
| | - Xiangqi Wang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Naval Medical University ( Changhai Hospital, Second Military Medical University), Shanghai, China
| | - Ying Xia
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Naval Medical University ( Changhai Hospital, Second Military Medical University), Shanghai, China
| | - Yinfeng Ding
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Naval Medical University ( Changhai Hospital, Second Military Medical University), Shanghai, China
| | - Chong Bai
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Naval Medical University ( Changhai Hospital, Second Military Medical University), Shanghai, China
| | - Christoforos Kosmidis
- 3rd Department of Surgery, ``AHEPA`` University Hospital, Aristotle University of Thessaloniki, Medical School, Thessaloniki, Greece
| | - Konstantinos Sapalidis
- 3rd Department of Surgery, ``AHEPA`` University Hospital, Aristotle University of Thessaloniki, Medical School, Thessaloniki, Greece
| | - Chrysanthi Sardeli
- Department of Respiratory, Changzhou maternal and child health care hospital affiliated to Nanjing Medical University, Jiangsu Changzhou, China
| | - Kosmas Tsakiridis
- Thoracic Surgery Department, ``Interbalkan`` European Medical Center, Thessaloniki, Greece
| | - Bojan Zaric
- Faculty of Medicine, University of Novi Sad, Institute for Pulmonary Diseases of Vojvodina, Novi Sad, Serbia
| | - Tomi Kovacevic
- Faculty of Medicine, University of Novi Sad, Institute for Pulmonary Diseases of Vojvodina, Novi Sad, Serbia
| | - Vladimir Stojsic
- Faculty of Medicine, University of Novi Sad, Institute for Pulmonary Diseases of Vojvodina, Novi Sad, Serbia
| | - Tatjana Sarcev
- Faculty of Medicine, University of Novi Sad, Institute for Pulmonary Diseases of Vojvodina, Novi Sad, Serbia
| | - Daliborka Bursac
- Faculty of Medicine, University of Novi Sad, Institute for Pulmonary Diseases of Vojvodina, Novi Sad, Serbia
| | - Biljana Kukic
- Faculty of Medicine, University of Novi Sad, Institute for Pulmonary Diseases of Vojvodina, Novi Sad, Serbia
| | - Sofia Baka
- Oncology Department, ``Interbalkan`` European Medical Center, Thessaloniki, Greece
| | | | | | | | - Savvas Petanidis
- Department of Pulmonology, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
| | - Dimitris Drougas
- Scientigraphy Department, "Bioclinic" Private Laboratory, Thessaloniki, Greece
| | | | - Dimitris Paliouras
- Thoracic surgery Department, ``Theageneio`` Cancer Hospital, Thessaloniki, Greece
| | - Nikolaos Barbetakis
- Thoracic surgery Department, ``Theageneio`` Cancer Hospital, Thessaloniki, Greece
| | | | - Lutz Freitag
- Department of Pulmonology, University Hospital Zurich, Rämistrasse 100, 8091, Zurich Switzerland
| | - Aimilios Lallas
- Dermatology Department, Aristotle University, School of Medicine, Thessaloniki, Greece
| | - Ioannis Boukovinas
- Oncology Department, ``Bioclinic`` Private Hospital, Thessaloniki, Greece
| | - Dimitris Petridis
- Department of Food Science and Technology, International Hellenic University, Thessaloniki, Greece
| | - Aris Ioannidis
- Surgery Department, ``Genesis`` Private Hospital, Thessaloniki, Greece
| | | | - Konstantinos Romanidis
- Department of Surgery, University Hospital of Alexandroupolis, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
| | - Chrisanthi Karapantzou
- Ear, Nose and Throat (ENT) Department, Ludwig-Maximilians University of Munich, Munich, Germany
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Imaging in Therapy Response Assessment and Surveillance of Lung Cancer: Evidenced-based Review With Focus on the Utility of 18F-FDG PET/CT. Clin Lung Cancer 2020; 21:485-497. [DOI: 10.1016/j.cllc.2020.06.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/18/2020] [Accepted: 06/28/2020] [Indexed: 12/11/2022]
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Wang W, Gao Z, Wang L, Li J, Yu J, Han S, Meng X. Application and Prospects of Molecular Imaging in Immunotherapy. Cancer Manag Res 2020; 12:9389-9403. [PMID: 33061627 PMCID: PMC7533904 DOI: 10.2147/cmar.s269773] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Accepted: 09/10/2020] [Indexed: 12/18/2022] Open
Abstract
Recently, immunotherapies that target the interactions of programmed cell death 1 (PD-1) with its major ligands, programmed death ligand 1 (PD-L1) and programmed death ligand 2 (PD-L2), have achieved significant success. To date, several immune checkpoint inhibitors targeting the PD-1/PD-L1 pathway have been developed to treat melanoma, non-small cell lung cancer, head and neck cancer, renal cell carcinoma, and urothelial carcinoma. Despite promising outcomes with immunotherapy, there are many limitations to several current immune biomarkers for predicting immune benefits and to traditional imaging for evaluating the efficacy and prognosis of immunotherapy and monitoring adverse reactions. In this review, we recommend a novel imaging method, molecular imaging. This paper reviews the application and prospects of molecular imaging in the context of current immunotherapies in regard to the following aspects: 1) detecting the expression of PD-1/PD-L1; 2) evaluating the efficacy of immunotherapy; 3) assessing patient prognosis with immunotherapy; 4) monitoring the toxicity of immunotherapy; and 5) other targets imaging.
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Affiliation(s)
- Weiqing Wang
- School of Clinical Medicine, Weifang Medical University, Weifang, Shandong 261053, People's Republic of China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, People's Republic of China
| | - Zhenhua Gao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, People's Republic of China
| | - Lu Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, People's Republic of China
| | - Jianing Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, People's Republic of China
| | - Jinming Yu
- School of Clinical Medicine, Weifang Medical University, Weifang, Shandong 261053, People's Republic of China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, People's Republic of China
| | - Shumei Han
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, People's Republic of China
| | - Xue Meng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, People's Republic of China
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Castello A, Rossi S, Toschi L, Lopci E. Comparison of Metabolic and Morphological Response Criteria for Early Prediction of Response and Survival in NSCLC Patients Treated With Anti-PD-1/PD-L1. Front Oncol 2020; 10:1090. [PMID: 32850315 PMCID: PMC7412129 DOI: 10.3389/fonc.2020.01090] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 06/01/2020] [Indexed: 12/13/2022] Open
Abstract
Introduction/Aim: Immunotherapy with immune checkpoint inhibitors (ICIs) has positively changed the history of several malignant tumors. In parallel, new challenges have emerged in the evaluation of treatment response as a result of their peculiar anticancer effect. In the current study, we aimed to compare different response criteria, both morphological and metabolic, for assessing response and outcome in patients with advanced non-small cell lung cancer (NSCLC) treated with ICI. Materials and Methods: Overall, 52 patients with advanced NSCLC candidate to ICI were prospectively evaluated. Inclusion criteria comprised whole-body contrast-enhanced CT and 18F-FDG PET/CT at baseline and at the first response evaluation 3 or 4 cycles after ICI. Response assessment on CT was performed according to RECIST 1.1 and imRECIST criteria, whereas metabolic response on PET was computed by EORTC, PERCIST, imPERCIST, and PERCIMT criteria. The concordance between the different tumor response criteria and the performance of each criterion to predict progression-free survival (PFS) and overall survival (OS) were calculated. Results: Inclusion criteria were fulfilled in 35 out of 52 patients. We observed a low agreement between imRECIST and imPERCIST (κ = 0.143) with discordant response in 20 patients, particularly regarding stable disease and progressive disease groups. Fair agreement between imRECIST and EORTC (κ = 0.340), and PERCIST (κ = 0.342), and moderate for PERCIMT (κ = 0.413) were detected. All criteria were significantly associated with PFS, while only PERCIMT and imPERCIST were associated with OS. Of note, in patients classified as immune stable disease (iSD), imPERCIST, and PERCIMT well-differentiated those with longer PFS (p < 0.001, p = 0.009) and OS (p = 0.001, p = 0.002). In the multivariate analysis, performance status [hazard ratio (HR) = 0.278, p = 0.015], imRECIST (HR = 3.799, p = 0.026), and imPERCIST (HR = 4.064, p = 0.014) were predictive factors for PFS, while only performance status (HR = 0.327, p = 0.035) and imPERCIST (HR = 3.247, p = 0.007) were predictive for OS. Conclusions: At the first evaluation during treatment with ICI, imPERCIST criteria correctly evaluated treatment response and appeared able to predict survival. Moreover, in patients with iSD on CT, imPERCIST were able to discriminate those with longer survival. This advantage might allow for earlier therapy modification based on metabolic response.
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Affiliation(s)
- Angelo Castello
- Department of Nuclear Medicine, Humanitas Clinical and Research Hospital—IRCCS, Milan, Italy
| | - Sabrina Rossi
- Medical Oncology, Humanitas Clinical and Research Hospital—IRCCS, Milan, Italy
| | - Luca Toschi
- Medical Oncology, Humanitas Clinical and Research Hospital—IRCCS, Milan, Italy
| | - Egesta Lopci
- Department of Nuclear Medicine, Humanitas Clinical and Research Hospital—IRCCS, Milan, Italy
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[18F]FDG PET immunotherapy radiomics signature (iRADIOMICS) predicts response of non-small-cell lung cancer patients treated with pembrolizumab. Radiol Oncol 2020; 54:285-294. [PMID: 32726293 PMCID: PMC7409607 DOI: 10.2478/raon-2020-0042] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 06/05/2020] [Indexed: 12/26/2022] Open
Abstract
Background Immune checkpoint inhibitors have changed the paradigm of cancer treatment; however, non-invasive biomarkers of response are still needed to identify candidates for non-responders. We aimed to investigate whether immunotherapy [18F]FDG PET radiomics signature (iRADIOMICS) predicts response of metastatic non-small-cell lung cancer (NSCLC) patients to pembrolizumab better than the current clinical standards. Patients and methods Thirty patients receiving pembrolizumab were scanned with [18F]FDG PET/CT at baseline, month 1 and 4. Associations of six robust primary tumour radiomics features with overall survival were analysed with Mann-Whitney U-test (MWU), Cox proportional hazards regression analysis, and ROC curve analysis. iRADIOMICS was constructed using univariate and multivariate logistic models of the most promising feature(s). Its predictive power was compared to PD-L1 tumour proportion score (TPS) and iRECIST using ROC curve analysis. Prediction accuracies were assessed with 5-fold cross validation. Results The most predictive were baseline radiomics features, e.g. Small Run Emphasis (MWU, p = 0.001; hazard ratio = 0.46, p = 0.007; AUC = 0.85 (95% CI 0.69–1.00)). Multivariate iRADIOMICS was found superior to the current standards in terms of predictive power and timewise with the following AUC (95% CI) and accuracy (standard deviation): iRADIOMICS (baseline), 0.90 (0.78–1.00), 78% (18%); PD-L1 TPS (baseline), 0.60 (0.37–0.83), 53% (18%); iRECIST (month 1), 0.79 (0.62–0.95), 76% (16%); iRECIST (month 4), 0.86 (0.72–1.00), 76% (17%). Conclusions Multivariate iRADIOMICS was identified as a promising imaging biomarker, which could improve management of metastatic NSCLC patients treated with pembrolizumab. The predicted non-responders could be offered other treatment options to improve their overall survival.
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Positron Emission Tomography-Based Response to Target and Immunotherapies in Oncology. ACTA ACUST UNITED AC 2020; 56:medicina56080373. [PMID: 32722205 PMCID: PMC7466359 DOI: 10.3390/medicina56080373] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/11/2020] [Accepted: 07/21/2020] [Indexed: 12/12/2022]
Abstract
2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) is a promising tool to support the evaluation of response to either target therapies or immunotherapy with immune checkpoint inhibitors both in clinical trials and, in selected patients, at the single patient's level. The present review aims to discuss available evidence related to the use of [18F]FDG PET (Positron Emission Tomography) to evaluate the response to target therapies and immune checkpoint inhibitors. Criteria proposed for the standardization of the definition of the PET-based response and complementary value with respect to morphological imaging are commented on. The use of PET-based assessment of the response through metabolic pathways other than glucose metabolism is also relevant in the framework of personalized cancer treatment. A brief discussion of the preliminary evidence for the use of non-FDG PET tracers in the evaluation of the response to new therapies is also provided.
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Castello A, Lopci E. Update on tumor metabolism and patterns of response to immunotherapy. THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF RADIOPHARMACEUTICAL CHEMISTRY AND BIOLOGY 2020; 64:175-185. [DOI: 10.23736/s1824-4785.20.03251-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Leitner BP, Perry RJ. The Impact of Obesity on Tumor Glucose Uptake in Breast and Lung Cancer. JNCI Cancer Spectr 2020; 4:pkaa007. [PMID: 32368718 PMCID: PMC7190208 DOI: 10.1093/jncics/pkaa007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 12/16/2019] [Accepted: 02/04/2020] [Indexed: 12/18/2022] Open
Abstract
Obesity confers an increased incidence and poorer clinical prognosis in more than 10 cancer types. Paradoxically, obesity may provide protection from poor outcomes in lung cancer. Mechanisms for the obesity-cancer links are not fully elucidated, with altered glucose metabolism being a promising candidate. Using 18F-fluorodeoxyglucose positron-emission-tomography/computed tomography images from The Cancer Imaging Archive, we explored the relationship between body mass index (BMI) and glucose metabolism in several cancers. In 188 patients (BMI mean [SD] = 27.7 [5.1], range = 17.4-49.3 kg/m2), higher BMI was associated with greater tumor glucose uptake in breast cancer (r = 0.36; P = .02) and with lower tumor glucose uptake in non-small cell lung cancer (r = -0.26; P = .048) using two-sided Pearson correlations. No relationship was observed in soft tissue sarcoma or squamous cell carcinoma. Harnessing the National Cancer Institute's open-access database, we demonstrate altered tumor glucose metabolism as a potential mechanism for the detrimental and protective effects of obesity on breast and lung cancer, respectively.
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Affiliation(s)
- Brooks P Leitner
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Department of Cellular & Molecular Physiology, Yale University, New Haven, CT, USA
| | - Rachel J Perry
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Department of Cellular & Molecular Physiology, Yale University, New Haven, CT, USA
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Niemeijer AL, Hoekstra OS, Smit EF, de Langen AJ. Imaging Responses to Immunotherapy with Novel PET Tracers. J Nucl Med 2020; 61:641-642. [PMID: 32086241 DOI: 10.2967/jnumed.119.236158] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 02/15/2020] [Indexed: 01/01/2023] Open
Affiliation(s)
- Anna-Larissa Niemeijer
- Department of Pulmonary Diseases, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Otto S Hoekstra
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; and
| | - Egbert F Smit
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Adrianus J de Langen
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
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The need of a clinically oriented reporting of 18F-FDG PET/CT in non-small cell lung cancer (NSCLC). Clin Transl Imaging 2020. [DOI: 10.1007/s40336-019-00354-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Bauckneht M, Capitanio S, Donegani MI, Zanardi E, Miceli A, Murialdo R, Raffa S, Tomasello L, Vitti M, Cavo A, Catalano F, Mencoboni M, Ceppi M, Marini C, Fornarini G, Boccardo F, Sambuceti G, Morbelli S. Role of Baseline and Post-Therapy 18F-FDG PET in the Prognostic Stratification of Metastatic Castration-Resistant Prostate Cancer (mCRPC) Patients Treated with Radium-223. Cancers (Basel) 2019; 12:cancers12010031. [PMID: 31861942 PMCID: PMC7016706 DOI: 10.3390/cancers12010031] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 12/14/2019] [Accepted: 12/17/2019] [Indexed: 12/17/2022] Open
Abstract
Radium-223 dichloride (Ra223) represents the unique bone-directed treatment option that shows an improvement in overall survival (OS) in metastatic castrate resistant prostate cancer (mCRPC). However, there is an urgent need for the identification of reliable biomarkers to non-invasively determine its efficacy (possibly improving patients’ selection or identifying responders’ after therapy completion). 18F-Fluorodeoxyglucose (FDG)-avidity is low in naïve prostate cancer, but it is enhanced in advanced and chemotherapy-refractory mCRPC, providing prognostic insights. Moreover, this tool showed high potential for the evaluation of response in cancer patients with bone involvement. For these reasons, FDG Positron Emission Tomography (FDG-PET) might represent an effective tool that is able to provide prognostic stratification (improving patients selection) at baseline and assessing the treatment response to Ra223. We conducted a retrospective analysis of 28 mCRPC patients that were treated with Ra223 and submitted to bone scan and FDG-PET/CT for prognostic purposes at baseline and within two months after therapy completion. The following parameters were measured: number of bone lesions at bone scan, SUVmax of the hottest bone lesion, metabolic tumor volume (MTV), and total lesion glycolysis (TLG). In patients who underwent post-therapy 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG-PET/CT), (20/28), PET Response Criteria in Solid Tumors (PERCIST), and European Organization for Research and Treatment of Cancer (EORTC) criteria were applied to evaluate the metabolic treatment response. The difference between end of therapy and baseline values was also calculated for Metabolic Tumor Volume (MTV), TLG, prostate-specific antigen (PSA), alkaline phosphatase (AP), and lactate dehydrogenase (LDH) (termed deltaMTV, deltaTLG, deltaPSA, deltaAP and deltaLDH, respectively). Predictive power of baseline and post-therapy PET- and biochemical-derived parameters on OS were assessed by Kaplan–Meier, univariate and multivariate analyses. At baseline, PSA, LDH, and MTV significantly predicted OS. However, MTV (but not PSA nor LDH) was able to identify a subgroup of patients with worse prognosis, even after adjusting for the number of lesions at bone scan (which, in turn, was not an independent predictor of OS). After therapy, PERCIST criteria were able to capture the response to Ra223 by demonstrating longer OS in patients with partial metabolic response. Moreover, the biochemical parameters were outperformed by PERCIST in the post-treatment setting, as their variation after therapy was not informative on long term OS. The present study supports the role of FDG-PET as a tool for patient’s selection and response assessment in mCRPC patients undergoing Ra223 administration.
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Affiliation(s)
- Matteo Bauckneht
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (S.C.); (G.S.); (S.M.)
- Correspondence: ; Tel.: +39-0105553038; Fax: +39-0105556911
| | - Selene Capitanio
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (S.C.); (G.S.); (S.M.)
| | - Maria Isabella Donegani
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Elisa Zanardi
- Academic Unit of Medical Oncology, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (E.Z.); (L.T.); (F.B.)
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, 16132 Genoa, Italy
| | - Alberto Miceli
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Roberto Murialdo
- Internal Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy;
| | - Stefano Raffa
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Laura Tomasello
- Academic Unit of Medical Oncology, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (E.Z.); (L.T.); (F.B.)
| | - Martina Vitti
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Alessia Cavo
- Oncology Unit, Villa Scassi Hospital, 16149, Genova, Italy; (A.C.); (M.M.)
| | - Fabio Catalano
- Medical Oncology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (F.C.); (G.F.)
| | - Manlio Mencoboni
- Oncology Unit, Villa Scassi Hospital, 16149, Genova, Italy; (A.C.); (M.M.)
| | - Marcello Ceppi
- Clinical Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy;
| | - Cecilia Marini
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
- CNR Institute of Molecular Bioimaging and Physiology (IBFM), 20090 Segrate (MI), Italy
| | - Giuseppe Fornarini
- Medical Oncology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (F.C.); (G.F.)
| | - Francesco Boccardo
- Academic Unit of Medical Oncology, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (E.Z.); (L.T.); (F.B.)
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, 16132 Genoa, Italy
| | - Gianmario Sambuceti
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (S.C.); (G.S.); (S.M.)
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Silvia Morbelli
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (S.C.); (G.S.); (S.M.)
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
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