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Voltin CA, Paccagnella A, Winkelmann M, Heger JM, Casadei B, Beckmann L, Herrmann K, Dekorsy FJ, Kutsch N, Borchmann P, Fanti S, Kunz WG, Subklewe M, Kobe C, Zinzani PL, Stelljes M, Roth KS, Drzezga A, Noppeney R, Rahbar K, Reinhardt HC, von Tresckow B, Seifert R, Albring JC, Blumenberg V, Farolfi A, Flossdorf S, Gödel P, Hanoun C. Multicenter development of a PET-based risk assessment tool for product-specific outcome prediction in large B-cell lymphoma patients undergoing CAR T-cell therapy. Eur J Nucl Med Mol Imaging 2024; 51:1361-1370. [PMID: 38114616 PMCID: PMC10957657 DOI: 10.1007/s00259-023-06554-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 11/30/2023] [Indexed: 12/21/2023]
Abstract
PURPOSE The emergence of chimeric antigen receptor (CAR) T-cell therapy fundamentally changed the management of individuals with relapsed and refractory large B-cell lymphoma (LBCL). However, real-world data have shown divergent outcomes for the approved products. The present study therefore set out to evaluate potential risk factors in a larger cohort. METHODS Our analysis set included 88 patients, treated in four German university hospitals and one Italian center, who had undergone 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (PET) before CAR T-cell therapy with tisagenlecleucel or axicabtagene ciloleucel. We first determined the predictive value of conventional risk factors, treatment lines, and response to bridging therapy for progression-free survival (PFS) through forward selection based on Cox regression. In a second step, the additive potential of two common PET parameters was assessed. Their optimal dichotomizing thresholds were calculated individually for each CAR T-cell product. RESULTS Extra-nodal involvement emerged as the most relevant of the conventional tumor and patient characteristics. Moreover, we found that inclusion of metabolic tumor volume (MTV) further improves outcome prediction. The hazard ratio for a PFS event was 1.68 per unit increase of our proposed risk score (95% confidence interval [1.20, 2.35], P = 0.003), which comprised both extra-nodal disease and lymphoma burden. While the most suitable MTV cut-off among patients receiving tisagenlecleucel was 11 mL, a markedly higher threshold of 259 mL showed optimal predictive performance in those undergoing axicabtagene ciloleucel treatment. CONCLUSION Our analysis demonstrates that the presence of more than one extra-nodal lesion and higher MTV in LBCL are associated with inferior outcome after CAR T-cell treatment. Based on an assessment tool including these two factors, patients can be assigned to one of three risk groups. Importantly, as shown by our study, metabolic tumor burden might facilitate CAR T-cell product selection and reflect the individual need for bridging therapy.
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Affiliation(s)
- Conrad-Amadeus Voltin
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
| | - Andrea Paccagnella
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Michael Winkelmann
- Department of Radiology, University Hospital Munich, Ludwig Maximilian University Munich, Munich, Germany
| | - Jan-Michel Heger
- Department of Internal Medicine I, Center for Integrated Oncology Aachen-Bonn-Cologne-Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Cologne Lymphoma Working Group (CLWG), Cologne, Germany
| | - Beatrice Casadei
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- 'L. e A. Seràgnoli' Institute of Hematology, Scientific Institute for Research, Hospitalization, and Healthcare (IRCCS) 'Azienda Ospedaliero-Universitaria Di Bologna', University of Bologna, Bologna, Italy
| | - Laura Beckmann
- Department of Internal Medicine I, Center for Integrated Oncology Aachen-Bonn-Cologne-Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site Essen/Düsseldorf, Essen, Germany
| | - Franziska J Dekorsy
- Department of Nuclear Medicine, University Hospital Munich, Ludwig Maximilian University Munich, Munich, Germany
| | - Nadine Kutsch
- Department of Internal Medicine I, Center for Integrated Oncology Aachen-Bonn-Cologne-Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Cologne Lymphoma Working Group (CLWG), Cologne, Germany
| | - Peter Borchmann
- Department of Internal Medicine I, Center for Integrated Oncology Aachen-Bonn-Cologne-Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Cologne Lymphoma Working Group (CLWG), Cologne, Germany
| | - Stefano Fanti
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- Division of Nuclear Medicine, Scientific Institute for Research, Hospitalization, and Healthcare (IRCCS) 'Azienda Ospedaliero-Universitaria Di Bologna', University of Bologna, Bologna, Italy
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital Munich, Ludwig Maximilian University Munich, Munich, Germany
| | - Marion Subklewe
- Department of Medicine III, Comprehensive Cancer Center Munich (CCCM), University Hospital Munich, Ludwig Maximilian University Munich, Munich, Germany
- Laboratory for Translational Cancer Immunology, Gene Center Munich, Ludwig Maximilian University Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF) Partner Site Munich, Munich, Germany
| | - Carsten Kobe
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Pier Luigi Zinzani
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- 'L. e A. Seràgnoli' Institute of Hematology, Scientific Institute for Research, Hospitalization, and Healthcare (IRCCS) 'Azienda Ospedaliero-Universitaria Di Bologna', University of Bologna, Bologna, Italy
| | - Matthias Stelljes
- Department of Medicine A-Hematology, Oncology, and Pneumology, West German Cancer Center (WTZ) Network Partner Site, University Hospital Münster, University of Münster, Münster, Germany
| | - Katrin S Roth
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Alexander Drzezga
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Richard Noppeney
- German Cancer Consortium (DKTK) Partner Site Essen/Düsseldorf, Essen, Germany
- Department of Hematology and Stem Cell Transplantation, West German Cancer Center (WTZ), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Kambiz Rahbar
- Department of Nuclear Medicine, University Hospital Münster, University of Münster, Münster, Germany
| | - H Christian Reinhardt
- German Cancer Consortium (DKTK) Partner Site Essen/Düsseldorf, Essen, Germany
- Department of Hematology and Stem Cell Transplantation, West German Cancer Center (WTZ), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Bastian von Tresckow
- German Cancer Consortium (DKTK) Partner Site Essen/Düsseldorf, Essen, Germany
- Department of Hematology and Stem Cell Transplantation, West German Cancer Center (WTZ), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Robert Seifert
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site Essen/Düsseldorf, Essen, Germany
- Department of Nuclear Medicine, University Hospital Münster, University of Münster, Münster, Germany
| | - Jörn C Albring
- Department of Medicine A-Hematology, Oncology, and Pneumology, West German Cancer Center (WTZ) Network Partner Site, University Hospital Münster, University of Münster, Münster, Germany
| | - Viktoria Blumenberg
- Department of Medicine III, Comprehensive Cancer Center Munich (CCCM), University Hospital Munich, Ludwig Maximilian University Munich, Munich, Germany
- Laboratory for Translational Cancer Immunology, Gene Center Munich, Ludwig Maximilian University Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF) Partner Site Munich, Munich, Germany
| | - Andrea Farolfi
- Division of Nuclear Medicine, Scientific Institute for Research, Hospitalization, and Healthcare (IRCCS) 'Azienda Ospedaliero-Universitaria Di Bologna', University of Bologna, Bologna, Italy
| | - Sarah Flossdorf
- Institute for Medical Informatics, Biometry, and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Philipp Gödel
- Department of Internal Medicine I, Center for Integrated Oncology Aachen-Bonn-Cologne-Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Cologne Lymphoma Working Group (CLWG), Cologne, Germany
| | - Christine Hanoun
- German Cancer Consortium (DKTK) Partner Site Essen/Düsseldorf, Essen, Germany
- Department of Hematology and Stem Cell Transplantation, West German Cancer Center (WTZ), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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Aksu A, Küçüker KA, Solmaz Ş, Turgut B. A different perspective on PET/CT before treatment in patients with Hodgkin lymphoma: importance of volumetric and dissemination parameters. Ann Hematol 2024; 103:813-822. [PMID: 37964021 DOI: 10.1007/s00277-023-05547-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 11/09/2023] [Indexed: 11/16/2023]
Abstract
The aim of this study is to investigate the role of the combination of volumetric and dissemination parameters obtained from pretreatment 18-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in predicting the interim response and progression status in patients with Hodgkin lymphoma (HL). Pretreatment PET/CT images of HL patients were analyzed with LIFEx software, and volumes of interest (VOIs) were drawn with a fixed SUV 4.0 threshold. MTV, SUVmax, and TLG values were obtained from each VOI. Total MTV (tMTV) was calculated by summing the MTV values in all VOIs, and similarly, total TLG (tTLG) was obtained by summing the TLG values. The distance between the centers of the lesions was noted as Dmax, and the distance between the outermost voxels of the lesions as DmaxVox. tMTV/DmaxVox was calculated by dividing the tMTV value by the DmaxVox value, and tTLG/DmaxVox was calculated by dividing the tTLG value by the DmaxVox value. The correlation of pretreatment PET parameters with response groups (complete/poor) and relapse/progression status (stable/progressive) was statistically evaluated. A total of 52 patients were included in the study. Bulky disease, tMTV, tTLG, and tMTV/DmaxVox values were found to be significantly higher in the poor response group. tMTV > 190.60 ml was found to be the only prognostic factor predicting interim PET response. The tMTV/DmaxVox and tTLG/DmaxVox showed statistically significant differences between the groups with and without progression. tMTV/DmaxVox > 7.70 was found to be the only prognostic factor in predicting relapse/progression. The evaluation of tumor burden and dissemination together in 18F-FDG PET/CT before treatment in patients with HL can help us to predict the results of the patients.
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Affiliation(s)
- Ayşegül Aksu
- Department of Nuclear Medicine, Atatürk Training and Research Hospital, İzmir Kâtip Çelebi University, İzmir, Turkey.
| | - Kadir Alper Küçüker
- Department of Nuclear Medicine, Atatürk Training and Research Hospital, İzmir Kâtip Çelebi University, İzmir, Turkey
| | - Şerife Solmaz
- Department of Hematology, Atatürk Training and Research Hospital, İzmir Kâtip Çelebi University, İzmir, Turkey
| | - Bülent Turgut
- Department of Nuclear Medicine, Atatürk Training and Research Hospital, İzmir Kâtip Çelebi University, İzmir, Turkey
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Song GY, Jung SH, Ahn SY, Kim M, Ahn JS, Lee JJ, Kim HJ, Moon JB, Yoo SW, Kwon SY, Min JJ, Bom HS, Kang SR, Yang DH. Prognostic Significance Of Sequential 18f-fdg Pet/Ct During Frontline Treatment Of Peripheral T Cell Lymphomas. Korean J Intern Med 2024; 39:327-337. [PMID: 38268194 PMCID: PMC10918377 DOI: 10.3904/kjim.2023.323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/03/2023] [Accepted: 10/19/2023] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND/AIMS The prognostic significance of 18F-fluorodeoxyglucose (FDG)-positron emission tomography-computed tomography (PET/CT) in peripheral T-cell lymphomas (PTCLs) are controversial. We explored the prognostic impact of sequential 18F-FDG PET/CT during frontline chemotherapy of patients with PTCLs. METHODS In total, 143 patients with newly diagnosed PTCLs were included. Sequential 18F-FDG PET/CTs were performed at the time of diagnosis, during chemotherapy, and at the end of chemotherapy. The baseline total metabolic tumor volume (TMTV) was calculated using the the standard uptake value with a threshold method of 2.5. RESULTS A baseline TMTV of 457.0 cm3 was used to categorize patients into high and low TMTV groups. Patients with a requirehigh TMTV had shorter progression-free survival (PFS) and overall survival (OS) than those with a low TMTV (PFS, 9.8 vs. 26.5 mo, p = 0.043; OS, 18.9 vs. 71.2 mo, p = 0.004). The interim 18F-FDG PET/CT response score was recorded as 1, 2-3, and 4-5 according to the Deauville criteria. The PFS and OS showed significant differences according to the interim 18F-FDG PET/CT response score (PFS, 120.7 vs. 34.1 vs. 5.1 mo, p < 0.001; OS, not reached vs. 61.1 mo vs. 12.1 mo, p < 0.001). CONCLUSION The interim PET/CT response based on visual assessment predicts disease progression and survival outcome in PTCLs. A high baseline TMTV is associated with a poor response to anthracycline-based chemotherapy in PTCLs. However, TMTV was not an independent predictor for PFS in the multivariate analysis.
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Affiliation(s)
- Ga-Young Song
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Sung-Hoon Jung
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Seo-Yeon Ahn
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Mihee Kim
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Jae-Sook Ahn
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Je-Jung Lee
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Hyeoung-Joon Kim
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Jang Bae Moon
- Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Su Woong Yoo
- Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Seong Young Kwon
- Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Jung-Joon Min
- Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Hee-Seung Bom
- Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Sae-Ryung Kang
- Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
| | - Deok-Hwan Yang
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun,
Korea
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4
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Marchal E, Palard-Novello X, Lhomme F, Meyer ME, Manson G, Devillers A, Marolleau JP, Houot R, Girard A. Baseline [ 18F]FDG PET features are associated with survival and toxicity in patients treated with CAR T cells for large B cell lymphoma. Eur J Nucl Med Mol Imaging 2024; 51:481-489. [PMID: 37721580 DOI: 10.1007/s00259-023-06427-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/04/2023] [Indexed: 09/19/2023]
Abstract
PURPOSE Chimeric antigen receptor (CAR) T cells have established themselves as an effective treatment for refractory or relapsed large B cell lymphoma (LBCL). Recently, the sDmax, which corresponds to the distance separating the two farthest lesions standardized by the patient's body surface area, has appeared as a prognostic factor in LBCL. This study aimed to identify [18F]FDG-PET biomarkers associated with prognosis and predictive of adverse events in patients treated with CAR T cells. METHODS Patients were retrospectively included from two different university hospitals. They were being treated with CAR T cells for LBCL and underwent [18F]FDG-PET just before CAR T cell infusion. Lesions were segmented semi-automatically with a threshold of 41% of the maximal uptake. In addition to clinico-biological features, sDmax, total metabolic tumor volume (TMTV), SUVmax, and uptake intensity of healthy lymphoid organs and liver were collected. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method. The occurrence of adverse events, such as cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS), was reported. RESULTS Fifty-six patients were included. The median follow-up was 9.7 months. Multivariate analysis showed that TMTV (cut-off of 36 mL) was an independent prognostic factor for PFS (p < 0.001) and that sDmax (cut-off of 0.15 m-1) was an independent prognostic factor for OS (p = 0.008). Concerning the occurrence of adverse events, a C-reactive protein level > 35 mg/L (p = 0.006) and a liver SUVmean > 2.5 (p = 0.027) before CAR T cells were associated with grade 2 to 4 CRS and a spleen SUVmean > 1.9 with grade 2 to 4 ICANS. CONCLUSION TMTV and sDmax had independent prognostic values, respectively, on PFS and OS. Regarding adverse events, the mean liver and spleen uptakes were associated with the occurrence of grade 2 to 4 CRS and ICANS, respectively. Integrating these biomarkers into the clinical workflow could be useful for early adaptation of patients management.
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Affiliation(s)
- E Marchal
- Department of Nuclear Medicine, Amiens-Picardie University Hospital, Amiens, France.
| | - X Palard-Novello
- Department of Nuclear Medicine, University Rennes, CLCC Eugène Marquis, INSERM, LTSI-UMR 1099, Rennes, France
| | - F Lhomme
- Department of Clinical Hematology, Rennes University Hospital, Rennes, France
| | - M E Meyer
- Department of Nuclear Medicine, Amiens-Picardie University Hospital, Amiens, France
| | - G Manson
- Department of Clinical Hematology, Rennes University Hospital, Rennes, France
| | - A Devillers
- Department of Nuclear Medicine, CLCC Eugène Marquis, Rennes, France
| | - J P Marolleau
- Department of Hematology, Amiens-Picardie University Hospital, Amiens, France
| | - R Houot
- Department of Clinical Hematology, Rennes University Hospital, Rennes, France
| | - A Girard
- Department of Nuclear Medicine, Amiens-Picardie University Hospital, Amiens, France
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Jin H, Jin M, Lim CH, Choi JY, Kim SJ, Lee KH. Metabolic bulk volume predicts survival in a homogeneous cohort of stage II/III diffuse large B-cell lymphoma patients undergoing R-CHOP treatment. Front Oncol 2023; 13:1186311. [PMID: 37384292 PMCID: PMC10293666 DOI: 10.3389/fonc.2023.1186311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/24/2023] [Indexed: 06/30/2023] Open
Abstract
Purpose Accurate risk stratification can improve lymphoma management, but current volumetric 18F-fluorodeoxyglucose (FDG) indicators require time-consuming segmentation of all lesions in the body. Herein, we investigated the prognostic values of readily obtainable metabolic bulk volume (MBV) and bulky lesion glycolysis (BLG) that measure the single largest lesion. Methods The study subjects were a homogeneous cohort of 242 newly diagnosed stage II or III diffuse large B-cell lymphoma (DLBCL) patients who underwent first-line R-CHOP treatment. Baseline PET/CT was retrospectively analyzed for maximum transverse diameter (MTD), total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), MBV, and BLG. Volumes were drawn using 30% SUVmax as threshold. Kaplan-Meier survival analysis and the Cox proportional hazards model assessed the ability to predict overall survival (OS) and progression-free survival (PFS). Results During a median follow-up period of 5.4 years (maximum of 12.7 years), events occurred in 85 patients, including progression, relapse, and death (65 deaths occurred at a median of 17.6 months). Receiver operating characteristic (ROC) analysis identified an optimal TMTV of 112 cm3, MBV of 88 cm3, TLG of 950, and BLG of 750 for discerning events. Patients with high MBV were more likely to have stage III disease; worse ECOG performance; higher IPI risk score; increased LDH; and high SUVmax, MTD, TMTV, TLG, and BLG. Kaplan-Meier survival analysis showed that high TMTV (p = 0.005 and < 0.001), MBV (both p < 0.001), TLG (p < 0.001 and 0.008), and BLG (p = 0.018 and 0.049) were associated with significantly worse OS and PFS. On Cox multivariate analysis, older age (> 60 years; HR, 2.74; 95% CI, 1.58-4.75; p < 0.001) and high MBV (HR, 2.74; 95% CI, 1.05-6.54; p = 0.023) were independent predictors of worse OS. Older age (hazard ratio [HR], 2.90; 95% CI, 1.74-4.82; p < 0.001) and high MBV (HR, 2.36; 95% CI, 1.15-6.54; p = 0.032) were also independent predictors of worse PFS. Furthermore, among subjects ≤60 years, high MBV remained the only significant independent predictor of worse OS (HR, 4.269; 95% CI, 1.03-17.76; p = 0.046) and PFS (HR, 6.047; 95% CI, 1.73-21.11; p = 0.005). Among subjects with stage III disease, only greater age (HR, 2.540; 95% CI, 1.22-5.30; p = 0.013) and high MBV (HR, 6.476; 95% CI, 1.20-31.9; p = 0.030) were significantly associated with worse OS, while greater age was the only independent predictor of worse PFS (HR, 6.145; 95% CI, 1.10-4.17; p = 0.024). Conclusions MBV easily obtained from the single largest lesion may provide a clinically useful FDG volumetric prognostic indicator in stage II/III DLBCL patients treated with R-CHOP.
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Affiliation(s)
- Hyun Jin
- Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Myung Jin
- Department of Electrical and Computer Engineering, Seoul, Republic of Korea
| | - Chae Hong Lim
- Department of Nuclear Medicine, Soonchunhyang University School of Medicine, Seoul, Republic of Korea
| | - Joon Young Choi
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Seok-Jin Kim
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyung-Han Lee
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Czibor S, Carr R, Redondo F, Auewarakul CU, Cerci JJ, Paez D, Fanti S, Györke T. Prognostic parameters on baseline and interim [ 18 F]FDG-PET/computed tomography in diffuse large B-cell lymphoma patients. Nucl Med Commun 2023; 44:291-301. [PMID: 36705233 PMCID: PMC9994851 DOI: 10.1097/mnm.0000000000001664] [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: 01/28/2023]
Abstract
OBJECTIVE 2-[ 18 F]fluoro-2-deoxy- d -glucose PET/computed tomography ([ 18 F]FDG-PET/CT) is a widely used imaging method in the management of diffuse large B-cell lymphomas (DLBCL). Our aim was to investigate the prognostic performance of different PET biomarkers in a multicenter setting. METHODS We investigated baseline volumetric values [metabolic tumor volume (MTV) and total lesion glycolysis (TLG), also normalized for body weight] segmented with three different methods [>SUV4 (glob4); 41% isocontour (41pc), and a gradient-based lesion growing algorithm (grad)] and interim parameters [Deauville score, maximal standardized uptake value (ΔSUVmax), modified qPET, and ratio PET (rPET)] alongside clinical parameters (stage, revised International Prognostic Index), using 24-month progression-free survival as the clinical endpoint. Receiver operating characteristics analyses were performed to define optimal cutoff points for the continuous PET parameters. RESULTS A total of 107 diffuse large B-cell lymphoma patients were included (54 women; mean age: 53.7 years). MTV and TLG calculations showed good correlation among glob4, 41pc, and grad methods; however, optimal cutoff points were markedly different.Significantly different PFS was observed between low- and high-risk groups according to baseline MTV, body weight-adjusted (bwa) MTV, TLG, bwaTLG, as well as interim parameters Deauville score, ΔSUVmax, mqPET, and rPET. Univariate Cox regression analyses showed hazard ratios (HRs) lowest for bwaMTVglob4 (HR = 2.3) and highest for rPET (HR = 9.09). In a multivariate Cox-regression model, rPET was shown to be an independent predictor of PFS ( P = 0.041; HR = 9.15). Combined analysis showed that ΔSUVmax positive patients with high MTV formed a group with distinctly poor PFS (35.3%). CONCLUSION Baseline MTV and TLG values and optimal cutoff points achieved with different segmentation methods varied markedly and showed a limited prognostic impact. Interim PET/CT parameters provided more accurate prognostic information with semiquantitative 'Deauville-like' parameters performing best in the present study.
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Affiliation(s)
- Sándor Czibor
- Department of Nuclear Medicine, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Robert Carr
- Department of Hematology, Guy's and St. Thomas' Hospital, King's College London, London, UK
| | | | - Chirayu U Auewarakul
- Faculty of Medicine and Public Health, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand
| | - Juliano J Cerci
- PET/CT Department at Quanta Diagnóstico e Terapia, Curitiba, Brazil
| | - Diana Paez
- Nuclear Medicine and Diagnostic Imaging Section, Division of Human Health, Department of Nuclear Sciences and Application, International Atomic Energy Agency, Vienna, Austria
| | - Stefano Fanti
- Metropolitan Nuclear Medicine, Policlinico S. Orsola, University of Bologna, Bologna, Italy
| | - Tamás Györke
- Department of Nuclear Medicine, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
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7
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Winkelmann M, Blumenberg V, Rejeski K, Bücklein VL, Ruzicka M, Unterrainer M, Schmidt C, Dekorsy FJ, Bartenstein P, Ricke J, von Bergwelt-Baildon M, Subklewe M, Kunz WG. Prognostic value of the International Metabolic Prognostic Index for lymphoma patients receiving chimeric antigen receptor T-cell therapy. Eur J Nucl Med Mol Imaging 2023; 50:1406-1413. [PMID: 36513818 DOI: 10.1007/s00259-022-06075-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/04/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE Chimeric antigen receptor T-cell therapy (CART) prolongs survival for patients with relapsed/refractory B-cell non-Hodgkin's lymphoma. The recently introduced International Metabolic Prognostic Index (IMPI) was shown to improve prognostication in the first-line treatment of large B-cell lymphoma. Here, we investigate the prognostic value of the IMPI for progression-free (PFS) and overall survival (OS) in the setting of CD19 CART. METHODS Consecutively treated patients with baseline 18F-FDG PET/CT imaging and follow-up imaging at 30 days after CART were included. IMPI is composed of age, stage, and metabolic tumor volume (MTV) at baseline and was compared with the International Prognostic Index (IPI). Both indices were grouped into quartiles, as previously described for IPI. In addition, the continuous IMPI was subdivided into tertiaries for better separation of risk groups. Overall response rate (ORR), depth of response (DoR), and PFS were determined based on Lugano criteria. Proportional Cox regression analysis studied association of IMPI and IPI with PFS and OS. RESULTS Thirty-nine patients were included. The IPI was 1 in 23%, 2 in 21%, 3 in 26%, 4 in 21%, and 5 in 10% of the patients. IMPIlow risk, IMPIintermediate risk, and IMPIhigh risk patients had 30-day ORR of 69%, 62%, and 62% and 30-day DoR of - 67%, - 66%, and - 54% with a PFS of 187 days, 97 days, and 87 days, respectively. ORR and DoR showed no correlation with lower IMPI (r = 0.065, p = 0.697). Dividing patients into three risk groups showed a significant trend for PFS stratification (p = 0.030), while IPI did not (p = 0.133). Neither IPI nor IMPI yielded a significant association with OS after CART (both p > 0.05). CONCLUSION In the context of CART, the IMPI yielded prognostic value regarding PFS estimation. In contrast with IMPI in the first-line DLBCL setting, we did not observe a significant association of IMPI at baseline with OS after CART.
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Affiliation(s)
- Michael Winkelmann
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Viktoria Blumenberg
- Laboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF), Partner Site Munich, Munich, Germany
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Kai Rejeski
- Laboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF), Partner Site Munich, Munich, Germany
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Veit L Bücklein
- Laboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF), Partner Site Munich, Munich, Germany
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Michael Ruzicka
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Marcus Unterrainer
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Christian Schmidt
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Franziska J Dekorsy
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCMLMU), LMU Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCMLMU), LMU Munich, Munich, Germany
| | - Michael von Bergwelt-Baildon
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCMLMU), LMU Munich, Munich, Germany
| | - Marion Subklewe
- Laboratory for Translational Cancer Immunology, Gene Center of the LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK) and Bavarian Center for Cancer Research (BZKF), Partner Site Munich, Munich, Germany
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
- Comprehensive Cancer Center München-LMU (CCCMLMU), LMU Munich, Munich, Germany.
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8
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Lue KH, Chen YH, Wu YF, Liu SH. Influence of the methodological aspects of the dichotomization of total metabolic tumor volume measured through baseline fluorine-18 fluorodeoxyglucose PET on survival prediction in lymphoma. Nucl Med Commun 2023; 44:74-80. [PMID: 36514929 DOI: 10.1097/mnm.0000000000001640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The total metabolic tumor volume (TMTV) measured from fluorine-18 fluorodeoxyglucose (18F-FDG) PET can be useful for determining the prognosis of patients with lymphoma. Stratifying patients into high- and low-TMTV risk groups requires a cutoff point, which is determined through the dichotomization method. This study investigated whether different TMTV dichotomization methods influenced survival prediction in patients with lymphoma. METHODS We retrospectively enrolled 129 patients with lymphoma who had undergone baseline 18F-FDG PET. TMTV was calculated using a fixed standardized uptake value threshold of 4.0. A total of six methods were employed to determine the optimal TMTV cutoff point using receiver-operating characteristic curve analyses, X-Tile bioinformatics software, and the Cutoff Finder web application. The prognostic performance of each method in survival prediction was examined. RESULTS The median (interquartile range) TMTV was 123 cm3 (21-335 cm3). The optimal TMTV cutoff values for predicting progression-free survival (PFS) and overall survival (OS) were in the range of 144-748 cm3. The cutoff points were used to dichotomize patients into two groups with distinct prognoses. All TMTV dichotomizations were significantly predictive of PFS and OS. The survival curves showed significant differences between the high- and low-TMTV groups. The C-indices of the survival models did not significantly differ in any of the dichotomizations. CONCLUSION The prognostic significance of TMTV was maintained regardless of the methodological aspects of dichotomization. However, the optimal TMTV cutoff point varied according to the chosen dichotomization method. Care should be taken when establishing an optimal TMTV cutoff point for clinical use.
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Affiliation(s)
- Kun-Han Lue
- Department of Medical Imaging and Radiological Sciences, Tzu Chi University of Science and Technology
| | - Yu-Hung Chen
- School of Medicine, College of Medicine, Tzu Chi University
- Department of Nuclear Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation
| | - Yi-Feng Wu
- School of Medicine, College of Medicine, Tzu Chi University
- Department of Hematology and Oncology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan
| | - Shu-Hsin Liu
- Department of Medical Imaging and Radiological Sciences, Tzu Chi University of Science and Technology
- Department of Nuclear Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation
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9
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Winkelmann M, Bücklein VL, Blumenberg V, Rejeski K, Ruzicka M, Unterrainer M, Schmidt C, Dekorsy FJ, Bartenstein P, Ricke J, von Bergwelt-Baildon M, Subklewe M, Kunz WG. Lymphoma tumor burden before chimeric antigen receptor T-Cell treatment: RECIL vs. Lugano vs. metabolic tumor assessment. Front Oncol 2022; 12:974029. [PMID: 36158658 PMCID: PMC9492918 DOI: 10.3389/fonc.2022.974029] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/23/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose High tumor burden has emerged as a negative predictor of efficacy in chimeric antigen receptor T-cell therapy (CART) in patients with refractory or relapsed large B-cell lymphoma. This study analyzed the deviation among imaging-based tumor burden (TB) metrics and their association with progression-free (PFS) and overall survival (OS). Materials and methods In this single-center observational study, we included all consecutively treated patients receiving CD19 CART with available baseline PET-CT imaging. Imaging-based TB was determined based on response evaluation criteria in lymphoma (RECIL), the Lugano criteria, and metabolic tumor volume. Total, nodal and extranodal TB were represented, according to the respective criteria, by sum of longest diameters (TBRECIL), sum of product of perpendicular diameters (TBLugano), and metabolic tumor volume (TBMTV). Correlation statistics were used for comparison. Proportional Cox regression analysis studied the association of TB metrics with PFS and OS. Results 34 consecutive patients were included (median age: 67 years, 41% female) with total median baseline TBRECIL of 12.5 cm, TBLugano of 4,030 mm2 and TBMTV of 330 mL. The correlation of TBRECIL and TBLugano with TBMTV was strong (ρ=0.744, p<0.001 and ρ=0.741, p<0.001), with lowest correlation for extranodal TBRECIL with TBMTV (ρ=0.660, p<0.001). Stratification of PFS was strongest by total TBMTV>50% (HR=2.915, p=0.042), whereas total TBRECIL>50% and total TBLugano>50% were not significant (both p>0.05). None of the total TB metrics were associated with OS (all p>0.05). Conclusion Pre-CART TB metrics vary significantly based on the assessment method, impacting their association with survival outcomes. The correlation between TBRECIL, TBLugano and TBMTV was influenced by disease phenotype and prior bridging therapy. TB method of assessment must be considered when interpreting the impact of TB on outcomes in clinical trials. Considering the heterogeneity, our results argue for standardization and harmonization across centers.
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Affiliation(s)
- Michael Winkelmann
- Department of Radiology, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Veit L. Bücklein
- Department of Medicine III, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Viktoria Blumenberg
- Department of Medicine III, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Kai Rejeski
- Department of Medicine III, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Michael Ruzicka
- Department of Medicine III, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Marcus Unterrainer
- Department of Radiology, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Christian Schmidt
- Department of Medicine III, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Franziska J. Dekorsy
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM), Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM), Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM), Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Michael von Bergwelt-Baildon
- Department of Medicine III, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM), Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Marion Subklewe
- Department of Medicine III, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM), Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Wolfgang G. Kunz
- Department of Radiology, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
- Comprehensive Cancer Center München-LMU (CCCM), Ludwig Maximilian University (LMU) Munich, Munich, Germany
- *Correspondence: Wolfgang G. Kunz,
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10
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Driessen J, Zwezerijnen GJ, Schöder H, Drees EE, Kersten MJ, Moskowitz AJ, Moskowitz CH, Eertink JJ, de Vet HC, Hoekstra OS, Zijlstra JM, Boellaard R. The Impact of Semiautomatic Segmentation Methods on Metabolic Tumor Volume, Intensity, and Dissemination Radiomics in 18F-FDG PET Scans of Patients with Classical Hodgkin Lymphoma. J Nucl Med 2022; 63:1424-1430. [PMID: 34992152 PMCID: PMC9454468 DOI: 10.2967/jnumed.121.263067] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 12/28/2021] [Indexed: 01/26/2023] Open
Abstract
Consensus about a standard segmentation method to derive metabolic tumor volume (MTV) in classical Hodgkin lymphoma (cHL) is lacking, and it is unknown how different segmentation methods influence quantitative PET features. Therefore, we aimed to evaluate the delineation and completeness of lesion selection and the need for manual adaptation with different segmentation methods, and to assess the influence of segmentation methods on the prognostic value of MTV, intensity, and dissemination radiomics features in cHL patients. Methods: We analyzed a total of 105 18F-FDG PET/CT scans from patients with newly diagnosed (n = 35) and relapsed/refractory (n = 70) cHL with 6 segmentation methods: 2 fixed thresholds on SUV4.0 and SUV2.5, 2 relative methods of 41% of SUVmax (41max) and a contrast-corrected 50% of SUVpeak (A50P), and 2 combination majority vote (MV) methods (MV2, MV3). Segmentation quality was assessed by 2 reviewers on the basis of predefined quality criteria: completeness of selection, the need for manual adaptation, and delineation of lesion borders. Correlations and prognostic performance of resulting radiomics features were compared among the methods. Results: SUV4.0 required the least manual adaptation but tended to underestimate MTV and often missed small lesions with low 18F-FDG uptake. SUV2.5 most frequently included all lesions but required minor manual adaptations and generally overestimated MTV. In contrast, few lesions were missed when using 41max, A50P, MV2, and MV3, but these segmentation methods required extensive manual adaptation and overestimated MTV in most cases. MTV and dissemination features significantly differed among the methods. However, correlations among methods were high for MTV and most intensity and dissemination features. There were no significant differences in prognostic performance for all features among the methods. Conclusion: A high correlation existed between MTV, intensity, and most dissemination features derived with the different segmentation methods, and the prognostic performance is similar. Despite frequently missing small lesions with low 18F-FDG avidity, segmentation with a fixed threshold of SUV4.0 required the least manual adaptation, which is critical for future research and implementation in clinical practice. However, the importance of small, low 18F-FDG-avidity lesions should be addressed in a larger cohort of cHL patients.
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Affiliation(s)
- Julia Driessen
- Department of Hematology, Amsterdam UMC, University of Amsterdam, LYMMCARE (Lymphoma and Myeloma Center, Amsterdam), Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Gerben J.C. Zwezerijnen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Heiko Schöder
- Department of Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Esther E.E. Drees
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Marie José Kersten
- Department of Hematology, Amsterdam UMC, University of Amsterdam, LYMMCARE (Lymphoma and Myeloma Center, Amsterdam), Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Alison J. Moskowitz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Craig H. Moskowitz
- Department of Medicine, Sylvester Comprehensive Cancer Center, Miami, Florida
| | - Jakoba J. Eertink
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands; and
| | - Henrica C.W. de Vet
- Department of Epidemiology and Data Science, Amsterdam Public Health research institute, Amsterdam, Netherlands
| | - Otto S. Hoekstra
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Josée M. Zijlstra
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands; and
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands;
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11
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Riehl L, Mulaw M, Kneer K, Beer M, Beer A, Barth TF, Benes V, Schulte J, Fischer M, Debatin K, Beltinger C. Targeted parallel DNA sequencing detects circulating tumor-associated variants of the mitochondrial and nuclear genomes in patients with neuroblastoma. Cancer Rep (Hoboken) 2022; 6:e1687. [PMID: 35899825 PMCID: PMC9875664 DOI: 10.1002/cnr2.1687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 06/21/2022] [Accepted: 07/12/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The utility for liquid biopsy of tumor-associated circulating single-nucleotide variants, as opposed to mutations, of the mitochondrial (mt) and nuclear genomes in neuroblastoma (NB) is unknown. PROCEDURE Variants of the mt and nuclear genomes from tumor, blood cells, and consecutive plasma samples of five patients with metastatic NB that relapsed or progressed were analyzed. Targeted parallel sequencing results of the mt genome, and of the coding region of 139 nuclear genes and 22 miRNAs implicated in NB, were correlated with clinical imaging and laboratory data. RESULTS All tumors harbored multiple somatic mt and nuclear single nucleotide variants with low allelic frequency, most of them not detected in the circulation. In one patient a tumor-associated mt somatic variant was detected in the plasma before and during progressive disease. In a second patient a circulating nuclear tumor-associated DNA variant heralded clinical relapse. In all patients somatic mt and nuclear variants not evident in the tumor biopsy at time of diagnosis were found circulating at varying timepoints. This suggests either tumor heterogeneity, evolution of tumor variants or a confounding contribution of normal tissues to somatic variants in patient plasma. The number and allelic frequency of the circulating variants did not reflect the clinical course of the tumors. Mutational signatures of mt and nuclear somatic variants differed. They varied between patients and were detected in the circulation without mirroring the patients' course. CONCLUSIONS In this limited cohort of NB patients clinically informative tumor-associated mt and nuclear circulating variants were detected by targeted parallel sequencing in a minority of patients.
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Affiliation(s)
- Lara Riehl
- Department of Pediatrics and Adolescent MedicineUniversity Medical Center UlmUlmGermany
| | - Medhanie Mulaw
- Institute of Experimental Cancer ResearchUniversity Medical Center UlmUlmGermany
| | - Katharina Kneer
- Department of Nuclear MedicineUniversity Medical Center UlmUlmGermany
| | - Meinhard Beer
- Department of Diagnostic and Interventional RadiologyUniversity Medical Center UlmUlmGermany
| | - Ambros Beer
- Department of Nuclear MedicineUniversity Medical Center UlmUlmGermany
| | - Thomas F. Barth
- Department of PathologyUniversity Medical Center UlmUlmGermany
| | - Vladimir Benes
- Genomics Core FacilityEuropean Molecular Biology Laboratory (EMBL)HeidelbergGermany
| | - Johannes Schulte
- Pediatric Oncology and HematologyCharité University MedicineBerlinGermany,German Cancer Research Center (DKFZ)German Cancer Consortium (DKTK)HeidelbergGermany
| | - Matthias Fischer
- Department of Pediatric Oncology and HematologyUniversity Children's Hospital of CologneCologneGermany
| | - Klaus‐Michael Debatin
- Department of Pediatrics and Adolescent MedicineUniversity Medical Center UlmUlmGermany
| | - Christian Beltinger
- Department of Pediatrics and Adolescent MedicineUniversity Medical Center UlmUlmGermany
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12
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van Heek L, Stuka C, Kaul H, Müller H, Mettler J, Hitz F, Baues C, Fuchs M, Borchmann P, Engert A, Dietlein M, Voltin CA, Kobe C. Predictive value of baseline metabolic tumor volume in early-stage favorable Hodgkin Lymphoma - Data from the prospective, multicenter phase III HD16 trial. BMC Cancer 2022; 22:672. [PMID: 35717166 PMCID: PMC9206242 DOI: 10.1186/s12885-022-09758-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 06/10/2022] [Indexed: 11/10/2022] Open
Abstract
Background 18F -fluorodeoxyglucose (FDG) positron emission tomography (PET) plays an important role in the staging and response assessment of lymphoma patients. Our aim was to explore the predictive relevance of metabolic tumor volume (MTV) and total lesion glycolysis (TLG) in patients with early stage Hodgkin lymphoma treated within the German Hodgkin Study Group HD16 trial. Methods 18F-FDG PET/CT images were available for MTV and TLG analysis in 107 cases from the HD16 trial. We calculated MTV and TLG using three different threshold methods (SUV4.0, SUV41% and SUV140%L), and then performed receiver-operating-characteristic analysis to assess the predictive impact of these parameters in predicting an adequate therapy response with PET negativity after 2 cycles of chemotherapy. Results All three threshold methods analyzed for MTV and TLG calculation showed a positive correlation with the PET response after 2 cycles chemotherapy. The largest area under the curve (AUC) was observed using the fixed threshold of SUV4.0 for MTV- calculation (AUC 0.69 [95% CI 0.55–0.83]) and for TLG-calculation (AUC 0.69 [0.55–0.82]). The calculations for MTV and TLG with a relative threshold showed a lower AUC: using SUV140%L AUCs of 0.66 [0.53–0.80] for MTV and 0.67 for TLG [0.54–0.81]) were observed, while with SUV41% an AUC of 0.61 [0.45–0.76] for MTV, and an AUC 0.64 [0.49–0.80]) for TLG were seen. Conclusions MTV and TLG do have a predictive value after two cycles ABVD in early stage Hodgkin lymphoma, particularly when using the fixed threshold of SUV4.0 for MTV and TLG calculation. Trial registration ClinicalTrials.gov NCT00736320.
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Affiliation(s)
- Lutz van Heek
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
| | - Colin Stuka
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Helen Kaul
- First Department of Internal Medicine and German Hodgkin Study Group (GHSG), Center for Integrated Oncology Aachen - Bonn - Cologne - Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Horst Müller
- First Department of Internal Medicine and German Hodgkin Study Group (GHSG), Center for Integrated Oncology Aachen - Bonn - Cologne - Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jasmin Mettler
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Felicitas Hitz
- Swiss Group for Clinical Cancer Research, Bern, Switzerland.,Department of Medical Oncology and Haematology, Kantonsspital St.Gallen, St. Gallen, Switzerland
| | - Christian Baues
- Department of Radiation Oncology and Cyberknife Center, Faculty of Medicine and UniversityHospital Cologne, University of Cologne, Cologne, Germany
| | - Michael Fuchs
- First Department of Internal Medicine and German Hodgkin Study Group (GHSG), Center for Integrated Oncology Aachen - Bonn - Cologne - Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Peter Borchmann
- First Department of Internal Medicine and German Hodgkin Study Group (GHSG), Center for Integrated Oncology Aachen - Bonn - Cologne - Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Andreas Engert
- First Department of Internal Medicine and German Hodgkin Study Group (GHSG), Center for Integrated Oncology Aachen - Bonn - Cologne - Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Markus Dietlein
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Conrad-Amadeus Voltin
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Carsten Kobe
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
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13
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El-Galaly TC, Villa D, Cheah CY, Gormsen LC. Pre-treatment total metabolic tumour volumes in lymphoma: Does quantity matter? Br J Haematol 2022; 197:139-155. [PMID: 35037240 DOI: 10.1111/bjh.18016] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 11/23/2021] [Accepted: 12/10/2021] [Indexed: 11/28/2022]
Abstract
Positron emission tomography/computed tomography (PET/CT) is used for the staging of lymphomas. Clinical information, such as Ann Arbor stage and number of involved sites, is derived from baseline staging and correlates with tumour volume. With modern imaging software, exact measures of total metabolic tumour volumes (tMTV) can be determined, in a semi- or fully-automated manner. Several technical factors, such as tumour segmentation and PET/CT technology influence tMTV and there is no consensus on a standardized uptake value (SUV) thresholding method, or how to include the volumes in the bone marrow and spleen. In diffuse large B-cell lymphoma, follicular lymphoma, peripheral T-cell lymphoma, and Hodgkin lymphoma, tMTV has been shown to predict progression-free survival and/or overall survival, after adjustments for clinical risk scores. However, most studies have used receiver operating curves to determine the optimal cut-off for tMTV and many studies did not include a training-validation approach, which led to the risk of overestimation of the independent prognostic value of tMTV. The identified cut-off values are heterogeneous, even when the same SUV thresholding method is used. Future studies should focus on testing tMTV in homogeneously-treated cohorts and seek to validate identified cut-off values externally so that a prognostic value can be documented, over and above currently used clinical surrogates for tumour volume.
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Affiliation(s)
- Tarec Christoffer El-Galaly
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Diego Villa
- BC Cancer Centre for Lymphoid Cancer and University of British Columbia, Vancouver, British Columbia, Canada
| | - Chan Yoon Cheah
- Department of Haematology, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia.,Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Lars C Gormsen
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
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14
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Thuillier P, Liberini V, Grimaldi S, Rampado O, Gallio E, DE Santi B, Arvat E, Piovesan A, Filippi R, Abgral R, Molinari F, Deandreis D. Prognostic value of whole-body PET volumetric parameters extracted from 68Ga-DOTATOC-PET/CT in well-differentiated neuroendocrine tumors. J Nucl Med 2021; 63:1014-1020. [PMID: 34740949 DOI: 10.2967/jnumed.121.262652] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 10/04/2021] [Indexed: 11/16/2022] Open
Abstract
Aim: To evaluate the prognostic value of somatostatin receptor tumor burden (SRTB) at 68Ga-DOTATOC positron emission tomography/computed tomography (PET/CT) in patients with well-differentiated neuroendocrine tumors (WD-NETs). Methods: We retrospectively analyzed 68Ga-DOTATOC-PET/CT of 84 patients with histologically confirmed WD-NETs (51 G1, 30 G2 and 3 G3). For each PET/CT, all DOTATOC-avid lesions were independently segmented by 2 operators using a customized threshold based on the healthy liver maximum standardized uptake value (SUVmax) using LIFEx 5.1. Somatostatin receptor expressing tumor volume (SRETV) and total lesion somatostatin receptor expression (TLSRE=SRETV*SUVmean) were extracted for each lesion and then whole-body SRETV and TLSRE (SRETVwb and TLSREwb) were defined as the sum of SRETV and TLSRE of all segmented lesions in each patient, respectively. Time to progression (TTP) was defined as the combination of disease-free-survival in patients undergoing curative surgery (n = 10) and progression-free survival for patients with unresectable/metastatic disease (n = 74). TTP and overall survival (OS) were calculated by Kaplan-Meier analysis, log-rank test, and Cox's proportional hazard model. Results: After a median follow-up period of 15.5 months disease progression was confirmed in 35 patients (41.7%) and 14 patients died. Higher SRETVwb (>39.1ml) and TLSREwb (>306.8g) were significantly correlated with shorter median TTP (TTP = 12months vs not reached; p<0.001). In multivariate analysis, SRETVwb (P = 0.005) was the only independent predictor of TTP regardless of histopathologic grade and TNM staging. Conclusion: According to our results, SRETVwb and TLSREwb extracted from 68Ga-DOTATOC-PET/CT could predict TTP/OS and might have an important clinical utility in the management of in patients with WD-NETs.
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Affiliation(s)
- Philippe Thuillier
- Nuclear Medicine Unit, Department of Medical Sciences, University of Turin, Italy
| | - Virginia Liberini
- Nuclear Medicine Unit, Department of Medical Sciences, University of Turin, Italy
| | - Serena Grimaldi
- Nuclear Medicine Unit, Department of Medical Sciences, University of Turin, Italy
| | - Osvaldo Rampado
- Medical Physics Unit, AOU Città della Salute e della Scienza, Turin, Italy., Italy
| | - Elena Gallio
- Medical Physics Unit, AOU Città della Salute e della Scienza, Turin, Italy., Italy
| | - Bruno DE Santi
- Biolab, Department of Electronics and Telecomunications, Politecnico di Torino, Turin, Italy., Italy
| | - Emanuela Arvat
- Oncological Endocrinology Unit, Department of Medical Sciences, University of Turin, Italy, Italy
| | - Alessandro Piovesan
- Oncological Endocrinology Unit, Department of Medical Sciences, University of Turin, Italy, Italy
| | - Roberto Filippi
- Department of Oncology Department of Medical Sciences, University of Turin, Italy, Italy
| | | | - Filippo Molinari
- Biolab, Department of Electronics and Telecomunications, Politecnico di Torino, Turin, Italy., Italy
| | - Desiree Deandreis
- Nuclear Medicine Unit, Department of Medical Sciences, University of Turin, Italy., Italy
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