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Lauwerys L, Beroske L, Solania A, Vangestel C, Miranda A, Van Giel N, Adhikari K, Lambeir AM, Wyffels L, Wolan D, Van der Veken P, Elvas F. Development of caspase-3-selective activity-based probes for PET imaging of apoptosis. EJNMMI Radiopharm Chem 2024; 9:58. [PMID: 39117920 PMCID: PMC11310375 DOI: 10.1186/s41181-024-00291-x] [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: 06/26/2024] [Accepted: 08/02/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND The cysteine-aspartic acid protease caspase-3 is recognized as the main executioner of apoptosis in cells responding to specific extrinsic and intrinsic stimuli. Caspase-3 represents an interesting biomarker to evaluate treatment response, as many cancer therapies exert their effect by inducing tumour cell death. Previously developed caspase-3 PET tracers were unable to reach routine clinical use due to low tumour uptake or lack of target selectivity, which are two important requirements for effective treatment response evaluation in cancer patients. Therefore, the goal of this study was to develop and preclinically evaluate novel caspase-3-selective activity-based probes (ABPs) for apoptosis imaging. RESULTS A library of caspase-3-selective ABPs was developed for tumour apoptosis detection. In a first attempt, the inhibitor Ac-DW3-KE (Ac-3Pal-Asp-βhLeu-Phe-Asp-KE) was 18F-labelled on the N-terminus to generate a radiotracer that was incapable of adequately detecting an increase in apoptosis in vivo. The inability to effectively detect active caspase-3 in vivo was likely attributable to slow binding, as demonstrated with in vitro inhibition kinetics. Hence, a second generation of caspase-3 selective ABPs was developed based on the Ac-ATS010-KE (Ac-3Pal-Asp-Phe(F5)-Phe-Asp-KE) with greatly improved binding kinetics over Ac-DW3-KE. Our probes based on Ac-ATS010-KE were made by modifying the N-terminus with 6 different linkers. All the linker modifications had limited effect on the binding kinetics, target selectivity, and pharmacokinetic profile in healthy mice. In an in vitro apoptosis model, the least hydrophilic tracer [18F]MICA-316 showed an increased uptake in apoptotic cells in comparison to the control group. Finally, [18F]MICA-316 was tested in an in vivo colorectal cancer model, where it showed a limited tumour uptake and was unable to discriminate treated tumours from the untreated group, despite demonstrating that the radiotracer was able to bind caspase-3 in complex mixtures in vitro. In contrast, the phosphatidylethanolamine (PE)-binding radiotracer [99mTc]Tc-duramycin was able to recognize the increased cell death in the disease model, making it the best performing treatment response assessment tracer developed thus far. CONCLUSIONS In conclusion, a novel library of caspase-3-binding PET tracers retaining similar binding kinetics as the original inhibitor was developed. The most promising tracer, [18F]MICA-316, showed an increase uptake in an in vitro apoptosis model and was able to selectively bind caspase-3 in apoptotic tumour cells. In order to distinguish therapy-responsive from non-responsive tumours, the next generation of caspase-3-selective ABPs will be developed with higher tumour accumulation and in vivo stability.
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Affiliation(s)
- Louis Lauwerys
- Molecular Imaging and Radiology, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
- Laboratory of Medicinal Chemistry, University of Antwerp, Antwerp, Belgium
| | - Lucas Beroske
- Molecular Imaging and Radiology, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
- Laboratory of Medicinal Chemistry, University of Antwerp, Antwerp, Belgium
| | - Angelo Solania
- Departments of Molecular Medicine and Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Christel Vangestel
- Molecular Imaging and Radiology, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
| | - Alan Miranda
- Molecular Imaging and Radiology, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
| | - Nele Van Giel
- Molecular Imaging and Radiology, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
| | - Karuna Adhikari
- Molecular Imaging and Radiology, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
| | - Anne-Marie Lambeir
- Laboratory of Medical Biochemistry, University of Antwerp, Antwerp, Belgium
| | - Leonie Wyffels
- Molecular Imaging and Radiology, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium
| | - Dennis Wolan
- Departments of Molecular Medicine and Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | | | - Filipe Elvas
- Molecular Imaging and Radiology, University of Antwerp, Universiteitsplein 1, 2610, Wilrijk, Antwerp, Belgium.
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Jiang R, Cheng X, Li P, Meng E, Wu X, Wu H. Plasma circulating tumor DNA unveils the efficacy of PD-1 inhibitors and chemotherapy in advanced gastric cancer. Sci Rep 2024; 14:14027. [PMID: 38890392 PMCID: PMC11189402 DOI: 10.1038/s41598-024-63486-x] [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: 02/18/2024] [Accepted: 05/29/2024] [Indexed: 06/20/2024] Open
Abstract
Programmed Death Receptor 1 (PD-1) inhibitors, when combined with chemotherapy, have exhibited notable effectiveness in enhancing the survival outcomes of patients afflicted with advanced gastric cancer. However, it is important to acknowledge that not all patients derive substantial benefits from this therapeutic approach, highlighting the crucial necessity of identifying efficacious biomarkers to inform immunotherapy interventions. In this study, we sought to investigate the predictive utility of circulating tumor DNA (ctDNA) as a biomarker in a cohort of 30 patients diagnosed with advanced gastric cancer, all of whom underwent first-line treatment involving PD-1 inhibitor administration alongside chemotherapy. We procured peripheral blood samples both at baseline and following the completion of two treatment cycles. Additionally, baseline tissue specimens were collected for the purpose of genomic alteration assessment, employing both 47-gene and 737-gene next-generation sequencing panels for plasma and tumor tissue, respectively. We delineated a ctDNA response as the eradication of maximum variant allele frequencies relative to baseline levels. Notably, the objective response rate among individuals exhibiting a ctDNA response proved significantly superior in comparison to non-responders (P = 0.0073). Furthermore, patients who manifested a ctDNA response experienced markedly prolonged progression-free survival (PFS) and overall survival (OS) when juxtaposed with those devoid of a ctDNA response (median PFS: 15.6 vs. 6.0 months, P = 0.003; median OS: not reached [NR] vs. 9.0 months, P = 0.011). In summation, patients with advanced gastric cancer receiving first-line treatment with PD-1 inhibitors and chemotherapy, dynamic changes in ctDNA can serve as a potential biomarker for predicting treatment efficacy and long-term outcomes.
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Affiliation(s)
- Rongqi Jiang
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, People's Republic of China
- Gastric Cancer Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, People's Republic of China
- Institute for Gastric Cancer Research, Nanjing Medical University, Nanjing, 211166, Jiangsu Province, People's Republic of China
| | - Xu Cheng
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, People's Republic of China
| | - Ping Li
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, People's Republic of China
| | - Enqing Meng
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, People's Republic of China
| | - Xinyi Wu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, People's Republic of China
| | - Hao Wu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, People's Republic of China.
- Gastric Cancer Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, People's Republic of China.
- Institute for Gastric Cancer Research, Nanjing Medical University, Nanjing, 211166, Jiangsu Province, People's Republic of China.
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Proulx-Rocray F, Soulières D. Emerging monoclonal antibody therapy for head and neck squamous cell carcinoma. Expert Opin Emerg Drugs 2024; 29:165-176. [PMID: 38616696 DOI: 10.1080/14728214.2024.2339906] [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: 12/21/2023] [Accepted: 04/03/2024] [Indexed: 04/16/2024]
Abstract
INTRODUCTION The incidence of head and neck squamous cell carcinoma (HNSCC) is increasing, particularly among younger populations. It is projected that the number of new cases will increase by almost 50% by 2040, with market revenues expected to triple in the same period. Despite the recent introduction of immune checkpoint inhibitors (ICIs) into the therapeutic armamentarium, the vast majority of patients with recurrent and/or metastatic (R/M) HNSCC fail to derive durable benefits from systemic therapy. AREAS COVERED This article aims to review the multiple monoclonal antibodies (mAbs) regimens currently under development, targeting various growth factors, immune checkpoints, immune costimulatory receptors, and more. EXPERT OPINION So far, the combination of anti-EGFR and ICI appears to be the most promising, especially in HPV-negative patients. It will be interesting to confirm whether the arrival of antibody-drug conjugates and bispecific mAb can surpass the efficacy of anti-EGFR, as they are also being tested in combination with ICI. Furthermore, we believe that immune costimulatory agonists and various ICIs combination are worth monitoring, despite some initial setbacks.
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Affiliation(s)
- Francis Proulx-Rocray
- Hematology and Medical Oncology Department, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada
| | - Denis Soulières
- Hematology and Medical Oncology Department, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, QC, Canada
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Luo X, Zeng M. Combination low-dose cyclophosphamide with check-point blockade and ionizing radiation promote an abscopal effect in mouse models of melanoma. J Cancer Res Ther 2024; 20:718-725. [PMID: 38687945 DOI: 10.4103/jcrt.jcrt_616_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 11/09/2023] [Indexed: 05/02/2024]
Abstract
PURPOSE The complex strategy of hypo-fractionated radiotherapy (HFRT) in combination with an immune checkpoint inhibitor (ICI) can stimulate a potential systemic antitumor response; however, the abscopal effect is always precluded by the tumor microenvironment, which may limit sufficient T-cell infiltration of distant nonirradiated tumors for certain kinds of inhibitory factors, such as regulatory T-cells (Tregs). Additionally, low-dose cyclophosphamide (LD-CYC) can specifically kill regulatory Tregs and strongly synergize antigen-specific immune responses, which could promote an abscopal effect. MATERIALS AND METHODS We explored whether a triple regimen consisting of HFRT, ICI, and LD-CYC could achieve a better systemic antitumor response in bilateral mouse tumor models. RESULT Our data demonstrate that LD-CYC combined with HFRT and antiprogrammed cell death ligand 1 (PDL-1) therapy could enhance the abscopal effect than only HFRT/antiPDL-1 or HFRT alone. Surprisingly, repeat CYC doses cannot further restrain tumor proliferation but can prolong murine overall survival, as revealed by the major pathologic responses. These results are associated with increased CD8 + effector T-cell infiltration, although LD-CYC did not upregulate PDL-1 expression in the tumor. CONCLUSIONS Compared with traditional strategies, for the first time, we demonstrated that a triple treatment strategy remarkably increased the number of radiation-induced tumor-infiltrating CD8 + T-cells, effectively decreasing infiltrating Tregs, and promoting an abscopal effect. Thus, we describe a novel and effective therapeutic approach by combining multiple strategies to target several tumor-mediated immune inhibitory mechanisms.
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MESH Headings
- Animals
- Cyclophosphamide/pharmacology
- Cyclophosphamide/administration & dosage
- Cyclophosphamide/therapeutic use
- Mice
- Immune Checkpoint Inhibitors/pharmacology
- Immune Checkpoint Inhibitors/therapeutic use
- Tumor Microenvironment/drug effects
- Tumor Microenvironment/radiation effects
- Tumor Microenvironment/immunology
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/drug effects
- T-Lymphocytes, Regulatory/radiation effects
- Female
- Combined Modality Therapy
- Disease Models, Animal
- Melanoma, Experimental/pathology
- Melanoma, Experimental/immunology
- Melanoma, Experimental/drug therapy
- Melanoma, Experimental/radiotherapy
- Radiation, Ionizing
- B7-H1 Antigen/antagonists & inhibitors
- B7-H1 Antigen/metabolism
- Antineoplastic Agents, Alkylating/pharmacology
- Antineoplastic Agents, Alkylating/therapeutic use
- Antineoplastic Agents, Alkylating/administration & dosage
- Mice, Inbred C57BL
- Humans
- Cell Line, Tumor
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Affiliation(s)
- Xing Luo
- Department of Oncology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, People's Republic of China
- Clinical Medical School, Chengdu Medical College, Chengdu, Sichuan, People's Republic of China
- Department of Oncology, Key Clinical Specialty of Sichuan Province, Chengdu, Sichuan, People's Republic of China
| | - Ming Zeng
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, People's Republic of China
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Iannessi A, Beaumont H. Breaking down the RECIST 1.1 double read variability in lung trials: What do baseline assessments tell us? Front Oncol 2023; 13:988784. [PMID: 37007064 PMCID: PMC10060958 DOI: 10.3389/fonc.2023.988784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 02/03/2023] [Indexed: 03/18/2023] Open
Abstract
BackgroundIn clinical trials with imaging, Blinded Independent Central Review (BICR) with double reads ensures data blinding and reduces bias in drug evaluations. As double reads can cause discrepancies, evaluations require close monitoring which substantially increases clinical trial costs. We sought to document the variability of double reads at baseline, and variabilities across individual readers and lung trials.Material and methodsWe retrospectively analyzed data from five BICR clinical trials evaluating 1720 lung cancer patients treated with immunotherapy or targeted therapy. Fifteen radiologists were involved. The variability was analyzed using a set of 71 features derived from tumor selection, measurements, and disease location. We selected a subset of readers that evaluated ≥50 patients in ≥two trials, to compare individual reader’s selections. Finally, we evaluated inter-trial homogeneity using a subset of patients for whom both readers assessed the exact same disease locations. Significance level was 0.05. Multiple pair-wise comparisons of continuous variables and proportions were performed using one-way ANOVA and Marascuilo procedure, respectively.ResultsAcross trials, on average per patient, target lesion (TL) number ranged 1.9 to 3.0, sum of tumor diameter (SOD) 57.1 to 91.9 mm. MeanSOD=83.7 mm. In four trials, MeanSOD of double reads was significantly different. Less than 10% of patients had TLs selected in completely different organs and 43.5% had at least one selected in different organs. Discrepancies in disease locations happened mainly in lymph nodes (20.1%) and bones (12.2%). Discrepancies in measurable disease happened mainly in lung (19.6%). Between individual readers, the MeanSOD and disease selection were significantly different (p<0.001). In inter-trials comparisons, on average per patient, the number of selected TLs ranged 2.1 to 2.8, MeanSOD 61.0 to 92.4 mm. Trials were significantly different in MeanSOD (p<0.0001) and average number of selected TLs (p=0.007). The proportion of patients having one of the top diseases was significantly different only between two trials for lung. Significant differences were observed for all other disease locations (p<0.05).ConclusionsWe found significant double read variabilities at baseline, evidence of reading patterns and a means to compare trials. Clinical trial reliability is influenced by the interplay of readers, patients and trial design.
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Dercle L, Sun S, Seban RD, Mekki A, Sun R, Tselikas L, Hans S, Bernard-Tessier A, Mihoubi Bouvier F, Aide N, Vercellino L, Rivas A, Girard A, Mokrane FZ, Manson G, Houot R, Lopci E, Yeh R, Ammari S, Schwartz LH. Emerging and Evolving Concepts in Cancer Immunotherapy Imaging. Radiology 2023; 306:32-46. [PMID: 36472538 DOI: 10.1148/radiol.210518] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Criteria based on measurements of lesion diameter at CT have guided treatment with historical therapies due to the strong association between tumor size and survival. Clinical experience with immune checkpoint modulators shows that editing immune system function can be effective in various solid tumors. Equally, novel immune-related phenomena accompany this novel therapeutic paradigm. These effects of immunotherapy challenge the association of tumor size with response or progression and include risks and adverse events that present new demands for imaging to guide treatment decisions. Emerging and evolving approaches to immunotherapy highlight further key issues for imaging evaluation, such as dissociated response following local administration of immune checkpoint modulators, pseudoprogression due to immune infiltration in the tumor environment, and premature death due to hyperprogression. Research that may offer tools for radiologists to meet these challenges is reviewed. Different modalities are discussed, including immuno-PET, as well as new applications of CT, MRI, and fluorodeoxyglucose PET, such as radiomics and imaging of hematopoietic tissues or anthropometric characteristics. Multilevel integration of imaging and other biomarkers may improve clinical guidance for immunotherapies and provide theranostic opportunities.
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Affiliation(s)
- Laurent Dercle
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Shawn Sun
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Romain-David Seban
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Ahmed Mekki
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Roger Sun
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Lambros Tselikas
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Sophie Hans
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Alice Bernard-Tessier
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Fadila Mihoubi Bouvier
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Nicolas Aide
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Laetitia Vercellino
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Alexia Rivas
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Antoine Girard
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Fatima-Zohra Mokrane
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Guillaume Manson
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Roch Houot
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Egesta Lopci
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Randy Yeh
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Samy Ammari
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
| | - Lawrence H Schwartz
- From the Department of Radiology, New York Presbyterian Hospital-Columbia University Medical Center, 630 W 168th St, New York, NY 10032 (L.D., S.S., L.H.S.); Department of Nuclear Medicine, Institut Curie, Paris, France (R.D.S.); DMU Smart Imaging, Department of Medical Imaging, Assistance Publique-Hôpitaux de Paris, GH Université Paris-Saclay, Raymond Poincaré Teaching Hospital, Garches, France (A.M.); Gustave Roussy-Centrale Supélec-Therapanacea Centre of Artificial Intelligence in Radiation Therapy and Oncology, Gustave Roussy Cancer Campus, Villejuif, France (R.S.); Radiomics Team, Molecular Radiation Therapy INSERM U1030, Paris-Sud University, Gustave Roussy Cancer Campus, and University of Paris-Saclay, Villejuif, France (R.S.); Departments of Radiation Oncology (R.S.) and Interventional Radiology (L.T.), Gustave Roussy Cancer Campus, Villejuif, France; Department of Oncology, Henri Mondor Hospital, Assistance Publique-Hôpitaux de Paris, Créteil, France (S.H.); Drug Development Department (DITEP), Gustave Roussy, Université Paris-Saclay, Villejuif, France (A.B.T.); Department of Radiology, Cochin Hospital, APHP, France (F.M.B.); Department of Nuclear Medicine, University Hospital, INSERM 1199 ANTICIPE, Normandy University, Caen, France (N.A.); Department of Nuclear Medicine, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, Paris, France (L.V., A.R.); Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, Rennes, France (A.G.); Department of Radiology, Rangueil University Hospital, Toulouse, France (F.Z.M.); Department of Hematology, University Hospital of Rennes, U1236, INSERM, Rennes, France (G.M., R.H.); EANM Oncology Committee, Vienna, Austria (E.L.); Department of Nuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Milan, Italy (E.L.); Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY (R.Y.); and Department of Medical Imaging, Diagnostic Imaging Service, Gustave Roussy, Université Paris Saclay, Villejuif, France (S.A.)
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7
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Differences and Similarities in the Pattern of Early Metabolic and Morphologic Response after Induction Chemo-Immunotherapy versus Induction Chemotherapy Alone in Locally Advanced Squamous Cell Head and Neck Cancer. Cancers (Basel) 2022; 14:cancers14194811. [PMID: 36230733 PMCID: PMC9563870 DOI: 10.3390/cancers14194811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 11/30/2022] Open
Abstract
Background: In head and neck cancer patients, parameters of metabolic and morphologic response of the tumor to single-cycle induction chemotherapy (IC) with docetaxel, cis- or carboplatin are used to decide the further course of treatment. This study investigated the effect of adding a double immune checkpoint blockade (DICB) of tremelimumab and durvalumab to IC on imaging parameters and their significance with regard to tumor cell remission. Methods: Response variables of 53 patients treated with IC+DICB (ICIT) were compared with those of 104 who received IC alone. Three weeks after one cycle, pathologic and, in some cases, clinical and endoscopic primary tumor responses were evaluated and correlated with a change in 18F-FDG PET and CT/MRI-based maximum-standardized uptake values (SUVmax) before (SUVmaxpre), after treatment (SUVmaxpost) and residually (resSUVmax in % of SUVmaxpre), and in maximum tumor diameter (Dmax) before (Dmaxpre) and after treatment (Dmaxpost) and residually (resD). Results: Reduction of SUVmax and Dmax occurred in both groups; values were SUVmaxpre: 14.4, SUVmaxpost: 6.6, Dmaxpre: 30 mm and Dmaxpost: 23 mm for ICIT versus SUVmaxpre: 16.5, SUVmaxpost: 6.4, Dmaxpre: 21 mm, and Dmaxpost: 16 mm for IC alone (all p < 0.05). ResSUVmax was the best predictor of complete response (IC: AUC: 0.77; ICIT: AUC: 0.76). Metabolic responders with resSUVmax ≤ 40% tended to have a higher rate of CR to ICIT (88%; n = 15/17) than to IC (65%; n = 30/46; p = 0.11). Of the metabolic nonresponders (resSUVmax > 80%), 33% (n = 5/15) achieved a clinical CR to ICIT versus 6% (n = 1/15) to IC (p = 0.01). Conclusions: ICIT and IC quickly induce a response and 18F-FDG PET is the more accurate modality for identifying complete remission. The rate of discrepant response, i.e., pCR with metabolic nonresponse after ICIT was >30%.
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Lv J, Wu C, Li J, Chen F, He S, He Q, Zhou G, Ma J, Sun Y, Wei D, Lin L. Improving on-treatment risk stratification of cancer patients with refined response classification and integration of circulating tumor DNA kinetics. BMC Med 2022; 20:268. [PMID: 35996151 PMCID: PMC9396864 DOI: 10.1186/s12916-022-02463-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 07/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Significant intertumoral heterogeneity exists as antitumor treatment is introduced. Heterogeneous therapeutic responses are conventionally evaluated by imaging examinations based on Response Evaluation Criteria in Solid Tumors (RECIST); nevertheless, there are increasing recognitions that they do not fully capture patient clinical benefits. Currently, there is a paucity of data regarding the clinical implication of biological responses assessed by liquid biopsy of on-treatment circulating tumor DNA (ctDNA). Here, we investigated whether biological response evaluated by ctDNA kinetics added critical information to the RECIST, and whether integrating on-treatment biological response information refined risk stratification of cancer patients. METHODS In this population-based cohort study, we included 821 patients with Epstein-Barr virus (EBV)-associated nasopharynx of head and neck cancer (NPC) receiving sequential neoadjuvant chemotherapy (NAC) and chemoradiotherapy (CRT), who had pretreatment and on-treatment cfEBV DNA and magnetic resonance imaging (MRI) surveillance. Biological responses evaluated by cfEBV DNA were profiled and compared with conventional MRI-based RECIST evaluation. The inverse probability weighting (IPW)-adjusted survival analysis was performed for major survival endpoints. The Cox proportional hazard regression [CpH]-based model was developed to predict the on-treatment ctDNA-based individualized survival. RESULTS Of 821 patients, 71.4% achieved complete biological response (cBR) upon NAC completion. RECIST-based response evaluations had 25.3% discordance with ctDNA-based evaluations. IPW-adjusted survival analysis revealed that cfEBV DNApost-NAC was a preferential prognosticator for all endpoints, especially for distant metastasis. In contrast, radiological response was more preferentially associated with locoregional recurrence. Intriguingly, cfEBV DNApost-NAC further stratified RECIST-responsive and non-responsive patients; RECIST-based non-responsive patients with cBR still derived substantial clinical benefits. Moreover, detectable cfEBV DNApost-NAC had 83.6% prediction sensitivity for detectable post-treatment ctDNA, which conferred early determination of treatment benefits. Finally, we established individualized risk prediction models and demonstrated that introducing on-treatment ctDNA significantly refined risk stratification. CONCLUSIONS Our study helps advance the implementation of ctDNA-based testing in therapeutic response evaluation for a refined risk stratification. The dynamic and refined risk profiling would tailor future liquid biopsy-based risk-adapted personalized therapy.
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Affiliation(s)
- Jiawei Lv
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Center for Precision Medicine of Sun Yat-sen University, Guangzhou, 510060, People's Republic of China. .,State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - Chenfei Wu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Center for Precision Medicine of Sun Yat-sen University, Guangzhou, 510060, People's Republic of China
| | - Junyan Li
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Foping Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Center for Precision Medicine of Sun Yat-sen University, Guangzhou, 510060, People's Republic of China
| | - Shiwei He
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qingmei He
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Guanqun Zhou
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Center for Precision Medicine of Sun Yat-sen University, Guangzhou, 510060, People's Republic of China
| | - Jun Ma
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Center for Precision Medicine of Sun Yat-sen University, Guangzhou, 510060, People's Republic of China
| | - Ying Sun
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Center for Precision Medicine of Sun Yat-sen University, Guangzhou, 510060, People's Republic of China.
| | - Denghui Wei
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - Li Lin
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Center for Precision Medicine of Sun Yat-sen University, Guangzhou, 510060, People's Republic of China.
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9
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Ghorbaninezhad F, Masoumi J, Bakhshivand M, Baghbanzadeh A, Mokhtarzadeh A, Kazemi T, Aghebati-Maleki L, Shotorbani SS, Jafarlou M, Brunetti O, Santarpia M, Baradaran B, Silvestris N. CTLA-4 silencing in dendritic cells loaded with colorectal cancer cell lysate improves autologous T cell responses in vitro. Front Immunol 2022; 13:931316. [PMID: 35979362 PMCID: PMC9376327 DOI: 10.3389/fimmu.2022.931316] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 07/11/2022] [Indexed: 12/02/2022] Open
Abstract
Dendritic cell (DC)-based immunotherapy has increased interest among anti-cancer immunotherapies. Nevertheless, the immunosuppressive mechanisms in the tumor milieu, e.g., inhibitory immune checkpoint molecules, have been implicated in diminishing the efficacy of DC-mediated anti-tumoral immune responses. Therefore, the main challenge is to overcome inhibitory immune checkpoint molecules and provoke efficient T-cell responses to antigens specifically expressed by cancerous cells. Among the inhibitory immune checkpoints, cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) expression on DCs diminishes their maturation and antigen presentation capability. Accordingly, we hypothesized that the expression of CTLA-4 on DCs inhibits the T cell-mediated anti-tumoral responses generated following the presentation of tumor antigens by DCs to T lymphocytes. In this study, we loaded colorectal cancer (CRC) cell lysate on DCs and inhibited the expression of CTLA-4 by small interfering RNA (siRNA) in them to investigate the DCs’ functional and phenotypical features, and T-cell mediated responses following DC/T cell co-culture. Our results demonstrated that blockade of CTLA-4 could promote stimulatory properties of DCs. In addition, CTLA-4 silenced CRC cell lysate-loaded DCs compared to the DCs without CTLA-4 silencing resulted in augmented T cell proliferation and cytokine production, i.e., IFN-γ and IL-4. Taken together, our findings suggest CTLA-4 silenced CRC cell lysate-loaded DCs as a promising therapeutic approach however further studies are needed before this strategy can be used in clinical practice.
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Affiliation(s)
- Farid Ghorbaninezhad
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Javad Masoumi
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Bakhshivand
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amir Baghbanzadeh
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ahad Mokhtarzadeh
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Tohid Kazemi
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Siamak Sandoghchian Shotorbani
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahdi Jafarlou
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Oronzo Brunetti
- Medical Oncology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Tumori “Giovanni Paolo II” of Bari, Bari, Italy
| | - Mariacarmela Santarpia
- Medical Oncology Unit, Department of Human Pathology “G. Barresi”, University of Messina, Messina, Italy
| | - Behzad Baradaran
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- *Correspondence: Behzad Baradaran, ; Nicola Silvestris,
| | - Nicola Silvestris
- Medical Oncology Unit, Department of Human Pathology “G. Barresi”, University of Messina, Messina, Italy
- *Correspondence: Behzad Baradaran, ; Nicola Silvestris,
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10
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Beck M, Hartwich J, Eckstein M, Schmidt D, Gostian AO, Müller S, Rutzner S, Gaipl US, von der Grün J, Illmer T, Hautmann MG, Klautke G, Döscher J, Brunner T, Tamaskovics B, Hartmann A, Iro H, Kuwert T, Fietkau R, Hecht M, Semrau S. F18-FDG PET/CT imaging early predicts pathologic complete response to induction chemoimmunotherapy of locally advanced head and neck cancer: preliminary single-center analysis of the checkrad-cd8 trial. Ann Nucl Med 2022; 36:623-633. [PMID: 35534690 PMCID: PMC9226092 DOI: 10.1007/s12149-022-01744-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/12/2022] [Indexed: 11/05/2022]
Abstract
Aim In the CheckRad-CD8 trial patients with locally advanced head and neck squamous cell cancer are treated with a single cycle of induction chemo-immunotherapy (ICIT). Patients with pathological complete response (pCR) in the re-biopsy enter radioimmunotherapy. Our goal was to study the value of F-18-FDG PET/CT in the prediction of pCR after induction therapy. Methods Patients treated within the CheckRad-CD8 trial that additionally received FDG- PET/CT imaging at the following two time points were included: 3–14 days before (pre-ICIT) and 21–28 days after (post-ICIT) receiving ICIT. Tracer uptake in primary tumors (PT) and suspicious cervical lymph nodes (LN +) was measured using different quantitative parameters on EANM Research Ltd (EARL) accredited PET reconstructions. In addition, mean FDG uptake levels in lymphatic and hematopoietic organs were examined. Percent decrease (Δ) in FDG uptake was calculated for all parameters. Biopsy of the PT post-ICIT acquired after FDG-PET/CT served as reference. The cohort was divided in patients with pCR and residual tumor (ReTu). Results Thirty-one patients were included. In ROC analysis, ΔSUVmax PT performed best (AUC = 0.89) in predicting pCR (n = 17), with a decline of at least 60% (sensitivity, 0.77; specificity, 0.93). Residual SUVmax PT post-ICIT performed best in predicting ReTu (n = 14), at a cutpoint of 6.0 (AUC = 0.91; sensitivity, 0.86; specificity, 0.88). Combining two quantitative parameters (ΔSUVmax ≥ 50% and SUVmax PT post-ICIT ≤ 6.0) conferred a sensitivity of 0.81 and a specificity of 0.93 for determining pCR. Background activity in lymphatic organs or uptake in suspected cervical lymph node metastases lacked significant predictive value. Conclusion FDG-PET/CT can identify patients with pCR after ICIT via residual FDG uptake levels in primary tumors and the related changes compared to baseline. FDG-uptake in LN + had no predictive value. Trial registry ClinicalTrials.gov identifier: NCT03426657.
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Affiliation(s)
- M Beck
- Clinic of Nuclear Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany.
| | - J Hartwich
- Clinic of Nuclear Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany
| | - M Eckstein
- Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - D Schmidt
- Clinic of Nuclear Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany
| | - A O Gostian
- Department of Otolaryngology-Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - S Müller
- Department of Otolaryngology-Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - S Rutzner
- Department of Radiation Oncology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - U S Gaipl
- Department of Radiation Oncology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - J von der Grün
- Department of Radiotherapy and Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - T Illmer
- Medical Oncology Clinic Dresden Freiberg, Dresden, Saxony, Germany
| | - M G Hautmann
- Department of Radiotherapy, Universität Regensburg, Regensburg, Bayern, Germany
| | - G Klautke
- Department of Radiation Oncology, Chemnitz Hospital, Chemnitz, Sachsen, Germany
| | - J Döscher
- Department of Otolaryngology-Head and Neck Surgery, Universität Ulm, Ulm, Baden-Württemberg, Germany
| | - T Brunner
- Department of Radiation Oncology, Otto Von Guericke Universität Magdeburg, Magdeburg, Sachsen-Anhalt, Germany
| | - B Tamaskovics
- Department of Radiation Oncology, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - A Hartmann
- Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - H Iro
- Department of Otolaryngology-Head and Neck Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - T Kuwert
- Clinic of Nuclear Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Bayern, Germany
| | - R Fietkau
- Department of Radiation Oncology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - M Hecht
- Department of Radiation Oncology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
| | - S Semrau
- Department of Radiation Oncology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
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11
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Ishihara H, Nemoto Y, Nakamura K, Tachibana H, Fukuda H, Yoshida K, Kobayashi H, Iizuka J, Shimmura H, Hashimoto Y, Tanabe K, Kondo T, Takagi T. Changes in Real-World Outcomes in Patients with Metastatic Renal Cell Carcinoma from the Molecular-Targeted Therapy Era to the Immune Checkpoint Inhibitor Era. Target Oncol 2022; 17:307-319. [PMID: 35460475 DOI: 10.1007/s11523-022-00879-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/01/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Knowledge of changes in the outcome in patients with metastatic renal cell carcinoma from the molecular-targeted therapy era to the immune checkpoint inhibitor (ICI) era remains limited in the real-world setting. OBJECTIVES We aimed to clarify outcome changes from the previous molecular-targeted therapy era to the current ICI era in patients with metastatic renal cell carcinoma using multi-institution real-world data. METHODS We retrospectively evaluated 415 patients with metastatic renal cell carcinoma who received first-line systemic therapy at five Japanese institutions between January 2008 and August 2021. We divided the patients into two groups based on the treatment era: molecular-targeted therapy era (January 2008-August 2018) and ICI era (September 2018-August 2021). According to the era, progression-free survival, overall survival, and objective response rate from first-line systemic therapy were compared. RESULTS Overall, 304 (73.3%) and 111 (26.7%) patients were categorized into the molecular-targeted therapy and ICI eras, respectively. The proportion of patients without prior nephrectomy (p = 0.0030) or those with low Karnofsky Performance Status scores [≤ 70] (p = 0.0258) were significantly higher in the ICI era group. The patients in the ICI era group had significantly longer overall survival (median: not reached vs 23.2 months, p = 0.0001) and a higher objective response rate (47.8% vs 24.7%, p < 0.0001) than those in the molecular-targeted therapy era group, and progression-free survival tended to be longer in the ICI era group (median: 13.3 vs 8.75 months, p = 0.0579). Multivariate analysis further showed that the treatment era (ICI vs molecular-targeted therapy) was an independent factor for overall survival and objective response (both, p < 0.0001). CONCLUSIONS The present multi-institution real-world data showed the improved outcome of previously untreated patients with metastatic renal cell carcinoma in the ICI era group compared with that in the molecular-targeted therapy era group. These findings strongly encourage the use of ICI-based treatment for patients with metastatic renal cell carcinoma in the real-world setting. Further studies with extended follow-up periods are needed to confirm our findings.
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Affiliation(s)
- Hiroki Ishihara
- Department of Urology, Tokyo Women's Medical University Medical Center East, 2-1-10 Nishiogu, Arakawa-ku, Tokyo, 116-8567, Japan.
| | - Yuki Nemoto
- Department of Urology, Saiseikai Kawaguchi General Hospital, Kawaguchi, Saitama, Japan
| | | | - Hidekazu Tachibana
- Department of Urology, Saiseikai Kurihashi Hospital, Kuki, Saitama, Japan
| | - Hironori Fukuda
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Kazuhiko Yoshida
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Hirohito Kobayashi
- Department of Urology, Tokyo Women's Medical University Medical Center East, 2-1-10 Nishiogu, Arakawa-ku, Tokyo, 116-8567, Japan
| | - Junpei Iizuka
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | | | - Yasunobu Hashimoto
- Department of Urology, Saiseikai Kawaguchi General Hospital, Kawaguchi, Saitama, Japan
| | - Kazunari Tanabe
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Tsunenori Kondo
- Department of Urology, Tokyo Women's Medical University Medical Center East, 2-1-10 Nishiogu, Arakawa-ku, Tokyo, 116-8567, Japan
| | - Toshio Takagi
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
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12
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Wang J, Zhang R, Ding X, Jin Y, Qin R, Xia B, Liao Q, Hu H, Song W, Wang Z, Zhang X, Xu J. Pathologically complete remission to combination of invariant NK T cells and anti-CD20 antibody in a refractory HIV+ diffuse large B-cell lymphoma patient. Immunotherapy 2022; 14:599-607. [PMID: 35443802 DOI: 10.2217/imt-2021-0247] [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: 11/21/2022] Open
Abstract
Although there is a high curability rate with rituximab chemotherapy, approximately 40% of patients with diffuse large B-cell lymphoma (DLBCL) develop disease relapse or primary-refractory lymphoma. The prognosis of HIV+ DLBCL patients is even worse with limited therapeutic options. The case is presented of a 28-year-old man who was diagnosed with HIV-DLBCL, refractory to rituximab-based chemo-immunotherapies and radiotherapy before and maintained a pathologically complete regression with the infusion of haplotype-matched invariant NK T cells and anti-CD20 antibody. His abdominal mass kept shrinking during the period of follow-up without relapse to date. A combination of haplotype-matched invariant NK T cells was likely to reinvigorate the efficacy of anti-CD20 antibody and may offer a viable treatment option for refractory DLBCL patients.
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Affiliation(s)
- Jing Wang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Renfang Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Xiangqing Ding
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Yanling Jin
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Ran Qin
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Bili Xia
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Qibin Liao
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Huiliang Hu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Wei Song
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Zhenyan Wang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Xiaoyan Zhang
- Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai, 201508, China
| | - Jianqing Xu
- Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai, 201508, China
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13
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Ishihara H, Nemoto Y, Tachibana H, Fukuda H, Yoshida K, Kobayashi H, Iizuka J, Hashimoto Y, Takagi T, Ishida H, Kondo T, Tanabe K. Outcomes of nivolumab monotherapy for previously treated metastatic renal cell carcinoma: a real-world multi-institution data with a minimum of 2 years of follow-up. Jpn J Clin Oncol 2022; 52:785-790. [PMID: 35373823 DOI: 10.1093/jjco/hyac044] [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: 08/11/2021] [Accepted: 03/14/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To investigate the long-term follow-up outcomes of nivolumab monotherapy for previously treated metastatic renal cell carcinoma, using real-world data. METHODS A total of 121 patients were treated with nivolumab monotherapy as subsequent therapy after the failure of prior tyrosine kinase inhibitor therapy between January 2013 and December 2021 at four affiliated institutions. To evaluate the outcome after 2 years or more, we selected patients in whom nivolumab therapy was started in December 2019 or earlier because data collection was performed until the end of December 2021. RESULTS Seventy-four patients were evaluated. During the median follow-up period of 25.8 months, 62 (84%) and 40 (54%) patients had disease progression and died, respectively. Nivolumab was administered as second-line therapy in 43 patients (58%). The median progression-free survival and overall survival were 5.52 and 31.1 months, respectively, and objective response rate was 36%. There was no difference in progression-free survival or overall survival based on the treatment line of nivolumab (P = 0.915, P = 0.559). The magnitude of tumor response and development of immune-related adverse events were significantly associated with progression-free survival (P < 0.0001, P < 0.0001, respectively) and overall survival (P < 0.0001, P = 0.0002, respectively). Treatment-related adverse events developed in 38 patients (51%), including 33 (45%) who had immune-related adverse events. Steroid administration was needed in nine patients (12%). CONCLUSIONS The present real-world multi-institution study with long-term follow-up data demonstrates that nivolumab monotherapy is effective for previously treated metastatic renal cell carcinoma, prolonging survival, improving tumor response and has a manageable safety profile.
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Affiliation(s)
- Hiroki Ishihara
- Department of Urology, Tokyo Women's Medical University Medical Center East, Arakawa-ku, Tokyo, Japan
| | - Yuki Nemoto
- Department of Urology, Saiseikai Kawaguchi General Hospital, Kawaguchi-city, Saitama, Japan
| | - Hidekazu Tachibana
- Department of Urology, Tokyo Women's Medical University Medical Center East, Arakawa-ku, Tokyo, Japan
| | - Hironori Fukuda
- Department of Urology, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
| | - Kazuhiko Yoshida
- Department of Urology, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
| | - Hirohito Kobayashi
- Department of Urology, Tokyo Women's Medical University Medical Center East, Arakawa-ku, Tokyo, Japan
| | - Junpei Iizuka
- Department of Urology, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
| | - Yasunobu Hashimoto
- Department of Urology, Saiseikai Kawaguchi General Hospital, Kawaguchi-city, Saitama, Japan
| | - Toshio Takagi
- Department of Urology, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
| | - Hideki Ishida
- Department of Urology, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
| | - Tsunenori Kondo
- Department of Urology, Tokyo Women's Medical University Medical Center East, Arakawa-ku, Tokyo, Japan
| | - Kazunari Tanabe
- Department of Urology, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
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14
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Naccache R, Belkouchi Y, Lawrance L, Benatsou B, Hadchiti J, Cournede PH, Ammari S, Talbot H, Lassau N. Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker. Cancers (Basel) 2022; 14:cancers14051337. [PMID: 35267645 PMCID: PMC8909556 DOI: 10.3390/cancers14051337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Immune checkpoint inhibitors (ICI) have revolutionized cancer care. However, assessing the efficacy of these new molecules with targeted therapeutic responses may induce too much delay when using classical biomarkers derived from morphological imaging (CT). The objective of our study is to propose fast, cost-effective, convenient, and effective biomarkers using the perfusion parameters from dynamic contrast-enhanced ultrasound (DCE-US) for the evaluation of ICI early response. In a population of 63 patients with metastatic cancer eligible for immunotherapy, we demonstrate that a decrease of more than 45% in the area under the perfusion curve (AUC) between baseline and day 21 is significantly associated with better overall survival. Thus, AUC from DCE-US looks to be a promising new biomarker for the early evaluation of response to immunotherapy. Abstract Purpose: The objective of our study is to propose fast, cost-effective, convenient, and effective biomarkers using the perfusion parameters from dynamic contrast-enhanced ultrasound (DCE-US) for the evaluation of immune checkpoint inhibitors (ICI) early response. Methods: The retrospective cohort used in this study included 63 patients with metastatic cancer eligible for immunotherapy. DCE-US was performed at baseline, day 8 (D8), and day 21 (D21) after treatment onset. A tumor perfusion curve was modeled on these three dates, and change in the seven perfusion parameters was measured between baseline, D8, and D21. These perfusion parameters were studied to show the impact of their variation on the overall survival (OS). Results: After the removal of missing or suboptimal DCE-US, the Baseline-D8, the Baseline-D21, and the D8-D21 groups included 37, 53, and 33 patients, respectively. A decrease of more than 45% in the area under the perfusion curve (AUC) between baseline and D21 was significantly associated with better OS (p = 0.0114). A decrease of any amount in the AUC between D8 and D21 was also significantly associated with better OS (p = 0.0370). Conclusion: AUC from DCE-US looks to be a promising new biomarker for fast, effective, and convenient immunotherapy response evaluation.
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Affiliation(s)
- Raphael Naccache
- Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France; (B.B.); (J.H.); (S.A.); (N.L.)
- Correspondence: (R.N.); (Y.B.)
| | - Younes Belkouchi
- CVN INRIA, CentraleSupelec, Universite Paris-Saclay, 91190 Gif-Sur-Yvette, France;
- Laboratoire d’Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France;
- Correspondence: (R.N.); (Y.B.)
| | - Littisha Lawrance
- Laboratoire d’Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France;
| | - Baya Benatsou
- Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France; (B.B.); (J.H.); (S.A.); (N.L.)
- Laboratoire d’Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France;
| | - Joya Hadchiti
- Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France; (B.B.); (J.H.); (S.A.); (N.L.)
| | - Paul-Henry Cournede
- MICS Lab, CentraleSupelec, Universite Paris-Saclay, 91190 Gif-Sur-Yvette, France;
| | - Samy Ammari
- Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France; (B.B.); (J.H.); (S.A.); (N.L.)
- Laboratoire d’Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France;
| | - Hugues Talbot
- CVN INRIA, CentraleSupelec, Universite Paris-Saclay, 91190 Gif-Sur-Yvette, France;
| | - Nathalie Lassau
- Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France; (B.B.); (J.H.); (S.A.); (N.L.)
- Laboratoire d’Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France;
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15
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Miyahira AK, Zarif JC, Coombs CC, Flavell RR, Russo JW, Zaidi S, Zhao D, Zhao SG, Pienta KJ, Soule HR. Prostate cancer research in the 21st century; report from the 2021 Coffey-Holden prostate cancer academy meeting. Prostate 2022; 82:169-181. [PMID: 34734426 PMCID: PMC8688282 DOI: 10.1002/pros.24262] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 10/08/2021] [Indexed: 02/03/2023]
Abstract
INTRODUCTION The 2021 Coffey-Holden Prostate Cancer Academy (CHPCA) Meeting, "Prostate Cancer Research in the 21st Century," was held virtually, from June 24-25, 2021. METHODS The CHPCA Meeting is organized by the Prostate Cancer Foundation as a unique discussion-oriented meeting focusing on critical topics in prostate cancer research envisioned to bridge the next major advances in prostate cancer biology and treatment. The 2021 CHPCA Meeting was virtually attended by 89 investigators and included 31 talks over nine sessions. RESULTS Major topic areas discussed at the meeting included: cancer genomics and sequencing, functional genomic approaches to studying mediators of plasticity, emerging signaling pathways in metastatic castration resistant prostate cancer, Wnt signaling biology and the challenges of targeted therapy, clonal hematopoiesis, neuroendocrine cell plasticity and antitumor immunity, cancer immunotherapy and its synergizers, and imaging the tumor microenvironment and metabolism. DISCUSSION This meeting report summarizes the research presented at the 2021 CHPCA Meeting. We hope that publication of this knowledge will accelerate new understandings and the development of new biomarkers and treatments for prostate cancer.
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Affiliation(s)
| | - Jelani C. Zarif
- Department of Oncology, Johns Hopkins University School of Medicine and The Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD
- Bloomberg Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Catherine C. Coombs
- Department of Medicine, Division of Hematology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Robert R. Flavell
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA
| | - Joshua W. Russo
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Samir Zaidi
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Di Zhao
- Department of Experimental Radiation Oncology, MD Anderson Cancer Center, Houston, TX
| | - Shuang G. Zhao
- Department of Human Oncology, Carbone Cancer Center, University of Wisconsin, Madison, WI
| | - Kenneth J. Pienta
- The James Buchanan Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, MD
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16
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Lu J, Ding J, Liu Z, Chen T. Retrospective analysis of the preparation and application of immunotherapy in cancer treatment (Review). Int J Oncol 2022; 60:12. [PMID: 34981814 PMCID: PMC8759346 DOI: 10.3892/ijo.2022.5302] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 12/20/2021] [Indexed: 12/11/2022] Open
Abstract
Monoclonal antibody technology plays a vital role in biomedical and immunotherapy, which greatly promotes the study of the structure and function of genes and proteins. To date, monoclonal antibodies have gone through four stages: murine monoclonal antibody, chimeric monoclonal antibody, humanised monoclonal antibody and fully human monoclonal antibody; thousands of monoclonal antibodies have been used in the fields of biology and medicine, playing a special role in the pathogenesis, diagnosis and treatment of disease. In this review, we compare the advantages and disadvantages of hybridoma technology, phage display technology, ribosome display technology, transgenic mouse technology, single B cell monoclonal antibody generation technologies, and forecast the promising applications of these technologies in clinical medicine, disease diagnosis and tumour treatment.
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Affiliation(s)
- Jiachen Lu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Jianing Ding
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Zhaoxia Liu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Tingtao Chen
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China
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17
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Elsherif SB, Anderson M, Chaudhry AA, Kumar SP, Gopireddy DR, Lall C, Bhosale PR. Response criteria for immunotherapy and the radiologic patterns of immune-related adverse events. Eur J Radiol 2021; 146:110062. [PMID: 34890935 DOI: 10.1016/j.ejrad.2021.110062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 11/11/2021] [Accepted: 11/18/2021] [Indexed: 12/11/2022]
Abstract
Immunotherapy has revolutionized clinical outcomes in both early-stage and advanced-stage malignancies. Immunotherapy has improved patient survival in both solid and hematologic disorders with the potential added benefit of less toxicity compared to conventional cytotoxic chemotherapy. Imaging plays a fundamental role in monitoring treatment response and assessment of immune-related adverse events, e.g. pneumonitis, colitis, etc. Familiarity with the current strategies of immune-related response evaluation and their limitations is essential for radiologists to guide clinicians with their treatment decisions. Radiologists should be aware of the wide spectrum of immune-related adverse events and their various radiological features as well as the patterns of treatment response associated with immunotherapies.
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Affiliation(s)
- Sherif B Elsherif
- The Department of Radiology, The University of Florida College of Medicine, Jacksonville, FL, USA.
| | - Marcus Anderson
- The Department of Abdominal Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ammar A Chaudhry
- The Department of Diagnostic Radiology, City of Hope National Cancer Center, Los Angeles, CA, USA
| | - Sindhu P Kumar
- The Department of Radiology, The University of Florida College of Medicine, Jacksonville, FL, USA
| | - Dheeraj R Gopireddy
- The Department of Radiology, The University of Florida College of Medicine, Jacksonville, FL, USA
| | - Chandana Lall
- The Department of Radiology, The University of Florida College of Medicine, Jacksonville, FL, USA
| | - Priya R Bhosale
- The Department of Abdominal Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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18
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Chen MY, Zeng YC. Pseudoprogression in lung cancer patients treated with immunotherapy. Crit Rev Oncol Hematol 2021; 169:103531. [PMID: 34800651 DOI: 10.1016/j.critrevonc.2021.103531] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 11/07/2021] [Accepted: 11/15/2021] [Indexed: 12/11/2022] Open
Abstract
Lung cancer has attracted much attention because of its high morbidity and mortality worldwide. The advent of immunotherapy approaches, especially the application of immune checkpoint inhibitors (ICIs) has dramatically changed the treatment of lung cancer, but a novel and unexpected pattern of treatment response-- pseudoprogression, has been observed simultaneously which complicates the routine clinical evaluation and management. However, manifestations of pseudoprogression vary and there are many disputes on immune-related response assessment and corresponding treatments for lung cancer. Therefore, we summarized the possible mechanisms, clinical manifestations and corresponding treatment measures of pseudoprogression in lung cancer, as well as potential methods to differentiate pseudoprogression from true tumor progression.
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Affiliation(s)
- Meng-Yu Chen
- Department of Radiation Oncology, Cancer Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China; Department of Clinical Oncology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Yue-Can Zeng
- Department of Radiation Oncology, Cancer Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China.
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19
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Winder M, Owczarek AJ, Chudek J, Pilch-Kowalczyk J, Baron J. Are We Overdoing It? Changes in Diagnostic Imaging Workload during the Years 2010-2020 including the Impact of the SARS-CoV-2 Pandemic. Healthcare (Basel) 2021; 9:healthcare9111557. [PMID: 34828603 PMCID: PMC8621920 DOI: 10.3390/healthcare9111557] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/09/2021] [Accepted: 11/10/2021] [Indexed: 12/30/2022] Open
Abstract
Since the 1990s, there has been a significant increase in the number of imaging examinations as well as a related increase in the healthcare expenditure and the exposure of the population to X-rays. This study aimed to analyze the workload trends in radiology during the last decade, including the impact of COVID-19 in a single university hospital in Poland and to identify possible solutions to the challenges that radiology could face in the future. We compared the annual amount of computed tomography (CT), radiography (X-ray), and ultrasound (US) examinations performed between the years 2010 and 2020 and analyzed the changes in the number of practicing radiologists in Poland. The mean number of patients treated in our hospital was 60,727 per year. During the last decade, the number of CT and US examinations nearly doubled (from 87.4 to 155.7 and from 52.1 to 86.5 per 1000 patients in 2010 and 2020 respectively), while X-ray examinations decreased from 115.1 to 96.9 per 1000 patients. The SARS-CoV-2 pandemic did not change the workload trends as more chest examinations were performed. AI, which contributed to the COVID-19 diagnosis, could aid radiologists in the future with the growing workload by increasing the efficiency of radiology departments as well as by potentially minimizing the related costs.
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Affiliation(s)
- Mateusz Winder
- Department of Radiology and Nuclear Medicine, Medical University of Silesia, 40-055 Katowice, Poland; (J.P.-K.); (J.B.)
- Correspondence: ; Tel.: +48-32-789-47-51
| | - Aleksander Jerzy Owczarek
- Health Promotion and Obesity Management Unit, Department of Pathophysiology, Medical University of Silesia, 40-055 Katowice, Poland;
| | - Jerzy Chudek
- Department of Internal Medicine and Oncological Chemotherapy, Medical University of Silesia, 40-055 Katowice, Poland;
| | - Joanna Pilch-Kowalczyk
- Department of Radiology and Nuclear Medicine, Medical University of Silesia, 40-055 Katowice, Poland; (J.P.-K.); (J.B.)
| | - Jan Baron
- Department of Radiology and Nuclear Medicine, Medical University of Silesia, 40-055 Katowice, Poland; (J.P.-K.); (J.B.)
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20
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Mohammed N, Zhou RR, Xiong Z. Imaging evaluation of lung cancer treated with PD-1/PD-L1 inhibitors. Br J Radiol 2021; 94:20210228. [PMID: 34541867 DOI: 10.1259/bjr.20210228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Immunotherapy (PD-1/PD-L1 inhibitors) has attracted attention for lung cancer treatment and recasted the administration of immunotherapeutics to patients who have advanced/metastatic diseases. Whether in combination or as monotherapy, these medications have become common therapies for certain patients with lung cancer. Moreover, their usage is expected to expand widely in the future. This review aims to discuss the imaging evaluation of lung cancer response to PD-1/PD-L1 therapy with focus on new radiological criteria for immunotherapy response. Abnormal radiological responses (pseudoprogression, dissociative responses, and hyperprogression) and immune-related adverse events are also described.
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Affiliation(s)
- Nader Mohammed
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Rong Rong Zhou
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Zeng Xiong
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
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21
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Henry KE, Mack KN, Nagle VL, Cornejo M, Michel AO, Fox IL, Davydova M, Dilling TR, Pillarsetty N, Lewis JS. ERK Inhibition Improves Anti-PD-L1 Immune Checkpoint Blockade in Preclinical Pancreatic Ductal Adenocarcinoma. Mol Cancer Ther 2021; 20:2026-2034. [PMID: 34349003 PMCID: PMC8492510 DOI: 10.1158/1535-7163.mct-20-1112] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 04/01/2021] [Accepted: 06/14/2021] [Indexed: 11/16/2022]
Abstract
Patients with pancreatic ductal adenocarcinoma (PDAC) do not benefit from immune checkpoint blockade (ICB) along the PD-1/PD-L1 axis. Variable PD-L1 expression in PDAC indicates a potential access issue of PD-L1-targeted therapy. To monitor target engagement of PD-L1-targeted therapy, we generated a PD-L1-targeted PET tracer labeled with zirconium-89 (89Zr). As the MAPK signaling pathway (MEK and ERK) is known to modulate PD-L1 expression in other tumor types, we used [89Zr]Zr-DFO-anti-PD-L1 as a tool to noninvasively assess whether manipulation of the MAPK signaling cascade could be leveraged to modulate PD-L1 expression and thereby immunotherapeutic outcomes in PDAC. In this study, we observed that the inhibition of MEK or ERK is sufficient to increase PD-L1 expression, which we hypothesized could be leveraged for anti-PD-L1 immune checkpoint therapy. We found that the combination of ERK inhibition and anti-PD-L1 therapy corresponded with a significant improvement of overall survival in a syngeneic mouse model of PDAC. Furthermore, IHC analysis indicates that the survival benefit may be CD8+ T-cell mediated. The therapeutic and molecular imaging tool kit developed could be exploited to better structure clinical trials and address the therapeutic gaps in challenging malignancies such as PDAC.
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Affiliation(s)
- Kelly E Henry
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
| | - Kyeara N Mack
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Veronica L Nagle
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mike Cornejo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Adam O Michel
- Laboratory for Comparative Pathology, Memorial Sloan Kettering, Weill Cornell Medicine & The Rockefeller University, New York, New York
| | - Ian L Fox
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Maria Davydova
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Thomas R Dilling
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Jason S Lewis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Departments of Pharmacology and Radiology, Weill Cornell Medical College, New York, New York
- Radiochemistry and Molecular Imaging Probes Core, Memorial Sloan Kettering Cancer Center, New York, New York
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Venkatasamy A, Guerin E, Blanchet A, Orvain C, Devignot V, Jung M, Jung AC, Chenard MP, Romain B, Gaiddon C, Mellitzer G. Ultrasound and Transcriptomics Identify a Differential Impact of Cisplatin and Histone Deacetylation on Tumor Structure and Microenvironment in a Patient-Derived In Vivo Model of Gastric Cancer. Pharmaceutics 2021; 13:1485. [PMID: 34575561 PMCID: PMC8467189 DOI: 10.3390/pharmaceutics13091485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/09/2021] [Accepted: 09/13/2021] [Indexed: 01/06/2023] Open
Abstract
The reasons behind the poor efficacy of transition metal-based chemotherapies (e.g., cisplatin) or targeted therapies (e.g., histone deacetylase inhibitors, HDACi) on gastric cancer (GC) remain elusive and recent studies suggested that the tumor microenvironment could contribute to the resistance. Hence, our objective was to gain information on the impact of cisplatin and the pan-HDACi SAHA (suberanilohydroxamic acid) on the tumor substructure and microenvironment of GC, by establishing patient-derived xenografts of GC and a combination of ultrasound, immunohistochemistry, and transcriptomics to analyze. The tumors responded partially to SAHA and cisplatin. An ultrasound gave more accurate tumor measures than a caliper. Importantly, an ultrasound allowed a noninvasive real-time access to the tumor substructure, showing differences between cisplatin and SAHA. These differences were confirmed by immunohistochemistry and transcriptomic analyses of the tumor microenvironment, identifying specific cell type signatures and transcription factor activation. For instance, cisplatin induced an "epithelial cell like" signature while SAHA favored a "mesenchymal cell like" one. Altogether, an ultrasound allowed a precise follow-up of the tumor progression while enabling a noninvasive real-time access to the tumor substructure. Combined with transcriptomics, our results underline the different intra-tumoral structural changes caused by both drugs that impact differently on the tumor microenvironment.
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Affiliation(s)
- Aina Venkatasamy
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
- IHU-Strasbourg (Institut Hospitalo-Universitaire), 67091 Strasbourg, France
| | - Eric Guerin
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
| | - Anais Blanchet
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
| | - Christophe Orvain
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
| | - Véronique Devignot
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
| | | | - Alain C. Jung
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
- Laboratoire de Biologie Tumorale, ICANS, 67200 Strasbourg, France
| | - Marie-Pierre Chenard
- Pathology Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France;
| | - Benoit Romain
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
- Digestive Surgery Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
| | - Christian Gaiddon
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
| | - Georg Mellitzer
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
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Ishihara H, Kondo T, Nakamura K, Nemoto Y, Tachibana H, Fukuda H, Yoshida K, Kobayashi H, Iizuka J, Shimmura H, Hashimoto Y, Tanabe K, Takagi T. Association of tumor burden with outcome in first-line therapy with nivolumab plus ipilimumab for previously untreated metastatic renal cell carcinoma. Jpn J Clin Oncol 2021; 51:1751-1756. [PMID: 34492101 DOI: 10.1093/jjco/hyab142] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 08/25/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To investigate the prognostic impact of tumor burden in patients receiving nivolumab plus ipilimumab as first-line therapy for previously untreated metastatic renal cell carcinoma (mRCC). METHODS We retrospectively evaluated 62 patients with IMDC intermediate- or poor-risk mRCC, treated with nivolumab plus ipilimumab as first-line therapy at five affiliated institutions. Tumor burden was defined as the sum of diameters of baseline targeted lesions according to the RECIST version.1.1. We categorized the patients into two groups based on the median value of tumor burden (i.e., high vs. low). The association of tumor burden with progression-free survival (PFS), overall survival (OS) and objective response rate (ORR) with nivolumab plus ipilimumab treatment was analyzed. RESULTS The median tumor burden was 63.0 cm (interquartile range: 34.2-125.8). PFS was significantly shorter in patients with high tumor burden (n = 31) than in those with low tumor burden (n = 31) (median: 6.08 [95% CI: 2.73-9.70] vs. 12.5 [4.77-24.0] months, P = 0.0134). In addition, OS tended to be shorter in patients with high tumor burden; however, there was no statistically significant difference (1-year rate: 77.3 vs. 96.7%, P = 0.166). ORR was not significantly different between patients with high and low tumor burden (35 vs. 55%, P = 0.202). Multivariate analysis of PFS further showed that tumor burden was an independent factor (HR: 2.22 [95% CI: 1.11-4.45], P = 0.0242). CONCLUSIONS Tumor burden might be a useful factor for outcome prediction, at least for PFS prediction, in patients receiving nivolumab plus ipilimumab for mRCC. Further prospective studies are warranted to confirm our findings.
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Affiliation(s)
- Hiroki Ishihara
- Department of Urology, Tokyo Women's Medical University Medical Center East, Tokyo, Japan
| | - Tsunenori Kondo
- Department of Urology, Tokyo Women's Medical University Medical Center East, Tokyo, Japan
| | | | - Yuki Nemoto
- Department of Urology, Saiseikai Kawaguchi General Hospital, Saitama, Japan
| | - Hidekazu Tachibana
- Department of Urology, Tokyo Women's Medical University Medical Center East, Tokyo, Japan.,Department of Urology, Saiseikai Kurihashi Hospital, Saitama, Japan
| | - Hironori Fukuda
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Kazuhiko Yoshida
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Hirohito Kobayashi
- Department of Urology, Tokyo Women's Medical University Medical Center East, Tokyo, Japan
| | - Junpei Iizuka
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Hiroaki Shimmura
- Department of Urology, Tokiwakai Jyoban Hospital, Fukushima, Japan
| | - Yasunobu Hashimoto
- Department of Urology, Saiseikai Kawaguchi General Hospital, Saitama, Japan
| | - Kazunari Tanabe
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Toshio Takagi
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
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Chiu LC, Lin SM, Lo YL, Kuo SCH, Yang CT, Hsu PC. Immunotherapy and Vaccination in Surgically Resectable Non-Small Cell Lung Cancer (NSCLC). Vaccines (Basel) 2021; 9:689. [PMID: 34201650 PMCID: PMC8310081 DOI: 10.3390/vaccines9070689] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/10/2021] [Accepted: 06/22/2021] [Indexed: 12/15/2022] Open
Abstract
Early-stage NSCLC (stages I and II, and some IIIA diseases) accounts for approximately 30% of non-small cell lung cancer (NSCLC) cases, with surgery being its main treatment modality. The risk of disease recurrence and cancer-related death, however, remains high among NSCLC patients after complete surgical resection. In previous studies on the long-term follow-up of post-operative NSCLC, the results showed that the five-year survival rate was about 65% for stage IB and about 35% for stage IIIA diseases. Platinum-based chemotherapy with or without radiation therapy has been used as a neoadjuvant therapy or post-operative adjuvant therapy in NSCLC, but the improvement of survival is limited. Immune checkpoint inhibitors (ICIs) have effectively improved the 5-year survival of advanced NSCLC patients. Cancer vaccination has also been explored and used in the prevention of cancer or reducing disease recurrence in resected NSCLC. Here, we review studies that have focused on the use of immunotherapies (i.e., ICIs and vaccination) in surgically resectable NSCLC. We present the results of completed clinical trials that have used ICIs as neoadjuvant therapies in pre-operative NSCLC. Ongoing clinical trials investigating ICIs as neoadjuvant and adjuvant therapies are also summarized.
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Affiliation(s)
- Li-Chung Chiu
- Division of Thoracic Medicine, Department of Internal Medicine, College of Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 33305, Taiwan; (L.-C.C.); (S.-M.L.); (Y.-L.L.); (S.C.-H.K.); (C.-T.Y.)
- Department of Thoracic Medicine, New Taipei Municipal Tu Cheng Hospital, New Taipei City 23652, Taiwan
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan
| | - Shu-Min Lin
- Division of Thoracic Medicine, Department of Internal Medicine, College of Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 33305, Taiwan; (L.-C.C.); (S.-M.L.); (Y.-L.L.); (S.C.-H.K.); (C.-T.Y.)
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan
| | - Yu-Lun Lo
- Division of Thoracic Medicine, Department of Internal Medicine, College of Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 33305, Taiwan; (L.-C.C.); (S.-M.L.); (Y.-L.L.); (S.C.-H.K.); (C.-T.Y.)
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan
| | - Scott Chih-Hsi Kuo
- Division of Thoracic Medicine, Department of Internal Medicine, College of Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 33305, Taiwan; (L.-C.C.); (S.-M.L.); (Y.-L.L.); (S.C.-H.K.); (C.-T.Y.)
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan
| | - Cheng-Ta Yang
- Division of Thoracic Medicine, Department of Internal Medicine, College of Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 33305, Taiwan; (L.-C.C.); (S.-M.L.); (Y.-L.L.); (S.C.-H.K.); (C.-T.Y.)
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan
- Department of Internal Medicine, Taoyuan Chang Gung Memorial Hospital, Taoyuan City 33378, Taiwan
- Department of Respiratory Therapy, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan
| | - Ping-Chih Hsu
- Division of Thoracic Medicine, Department of Internal Medicine, College of Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 33305, Taiwan; (L.-C.C.); (S.-M.L.); (Y.-L.L.); (S.C.-H.K.); (C.-T.Y.)
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan
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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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Wildner D, Heinzerling L, Scheulen ME, Kaempgen E, Schuler G, Strobel D, Janka R, Neurath MF, Sturm J, Knieling F. Assessment of sorafenib induced changes in tumor perfusion of uveal melanoma metastases with dynamic contrast-enhanced ultrasound (DCE-US). J Cancer Res Clin Oncol 2021; 148:955-965. [PMID: 34050396 PMCID: PMC8930795 DOI: 10.1007/s00432-021-03666-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 05/17/2021] [Indexed: 11/28/2022]
Abstract
Purpose Dynamic contrast-enhanced ultrasound (DCE-US) was used to monitor early response to sorafenib therapy in patients with liver metastases from uveal melanoma. Methods In total, 21 patients with liver metastases were recruited within a prospective trial and underwent daily sorafenib therapy. DCE-US of a target lesion was performed before initiation of treatment, on day 15 and 56. Two independent blinded investigators performed software analysis for DCE-US parameters and inter-observer-correlation was calculated. Response to treatment was evaluated on day 56. DCE-US parameters were correlated with clinical response and RECIST1.1 criteria. Results Inter-observer-correlation (r) of DCE-US parameters [time-to-peak (TTP), mean-transit-time (MTT), peak intensity (PI), regional blood volume (RBV), regional blood flow (RBF)] at baseline, day 15, and day 56 was highly significant (r-range 0.73–0.97, all p < 0.001). Out of 17 evaluable patients, 12 patients survived day 56 (clinical responders, cRE), whereas, five patients died before day 56 and were classified as non-responders (cNR). TTP values significantly increased in the cRE group 15 days after initiation of treatment for investigator 1 (p = 0.034) and at day 56 for both investigators (p = 0.028/0.028). MTT had increased significantly in the cRE group on day 56 (p = 0.037/0.022). In the cNR group changes for TTP and MTT remained insignificant. Thus, increase of the DCE-US parameters TTP and MTT are associated with response to treatment and prognosis. Conclusion An increase of TTP and MTT at frequent intervals could serve as a surrogate marker for early response evaluation to anti-angiogenic treatment of metastatic uveal melanoma. Supplementary Information The online version contains supplementary material available at 10.1007/s00432-021-03666-8.
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Affiliation(s)
- Dane Wildner
- Division of Ultrasound, Department of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Ulmenweg 18, 91054, Erlangen, Germany.
| | - Lucie Heinzerling
- Department of Dermatology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Ulmenweg 18, 91054, Erlangen, Germany
| | - Max E Scheulen
- Department of Internal Medicine (Tumor Research), University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany
| | - Eckhart Kaempgen
- Department of Dermatology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Ulmenweg 18, 91054, Erlangen, Germany
| | - Gerold Schuler
- Department of Dermatology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Ulmenweg 18, 91054, Erlangen, Germany
| | - Deike Strobel
- Division of Ultrasound, Department of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Ulmenweg 18, 91054, Erlangen, Germany
| | - Rolf Janka
- Radiology Institute, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany
| | - Markus F Neurath
- Division of Ultrasound, Department of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Ulmenweg 18, 91054, Erlangen, Germany
| | - Joerg Sturm
- Division of Ultrasound, Department of Internal Medicine 1, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Ulmenweg 18, 91054, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Loschgestr. 15, 91054, Erlangen, Germany
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Ippolito D, Maino C, Ragusi M, Porta M, Gandola D, Franzesi CT, Giandola TP, Sironi S. Immune response evaluation criteria in solid tumors for assessment of atypical responses after immunotherapy. World J Clin Oncol 2021; 12:323-334. [PMID: 34131564 PMCID: PMC8173324 DOI: 10.5306/wjco.v12.i5.323] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 03/23/2021] [Accepted: 04/23/2021] [Indexed: 02/06/2023] Open
Abstract
In 2017, immune response evaluation criteria in solid tumors (iRECIST) were introduced to validate radiologic and clinical interpretations and to better analyze tumor’s response to immunotherapy, considering the different time of following and response, between this new therapy compared to the standard one. However, even if the iRECIST are worldwide accepted, to date, different aspects should be better underlined and well reported, especially in clinical practice. Clinical experience has demonstrated that in a non-negligible percentage of patients, it is challenging to determine the correct category of response (stable disease, progression disease, partial or complete response), and consequently, to define which is the best management for those patients. Approaching radiological response in patients who underwent immunotherapy, a new uncommon kind of target lesions behavior was found. This phenomenon is mainly due to the different mechanisms of action of immunotherapeutic drug. Therefore, new groups of response have been described in clinical practice, defined as “atypical responses,” and categorized into three new groups: pseudoprogression, hyperprogression, and dissociated response. This review summarizes and reports these patterns, helping clinicians and radiologists get used to atypical responses, in order to identify patients that respond best to treatment.
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Affiliation(s)
- Davide Ippolito
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Cesare Maino
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Maria Ragusi
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Marco Porta
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Davide Gandola
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Cammillo Talei Franzesi
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Teresa Paola Giandola
- Department of Diagnostic Radiology, H. S. Gerardo Monza, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Sandro Sironi
- Diagnostic Radiology, University of Milano-Bicocca, Bergamo 24127, Italy
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Bandyk MG, Gopireddy DR, Lall C, Balaji KC, Dolz J. MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons. Comput Biol Med 2021; 134:104472. [PMID: 34023696 DOI: 10.1016/j.compbiomed.2021.104472] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/29/2021] [Accepted: 05/02/2021] [Indexed: 10/21/2022]
Abstract
Precise determination and assessment of bladder cancer (BC) extent of muscle invasion involvement guides proper risk stratification and personalized therapy selection. In this context, segmentation of both bladder walls and cancer are of pivotal importance, as it provides invaluable information to stage the primary tumor. Hence, multiregion segmentation on patients presenting with symptoms of bladder tumors using deep learning heralds a new level of staging accuracy and prediction of the biologic behavior of the tumor. Nevertheless, despite the success of these models in other medical problems, progress in multiregion bladder segmentation, particularly in MRI and CT modalities, is still at a nascent stage, with just a handful of works tackling a multiregion scenario. Furthermore, most existing approaches systematically follow prior literature in other clinical problems, without casting a doubt on the validity of these methods on bladder segmentation, which may present different challenges. Inspired by this, we provide an in-depth look at bladder cancer segmentation using deep learning models. The critical determinants for accurate differentiation of muscle invasive disease, current status of deep learning based bladder segmentation, lessons and limitations of prior work are highlighted.
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Affiliation(s)
- Mark G Bandyk
- Department of Urology, University of Florida, Jacksonville, FL, USA.
| | | | - Chandana Lall
- Department of Radiology, University of Florida, Jacksonville, FL, USA
| | - K C Balaji
- Department of Urology, University of Florida, Jacksonville, FL, USA
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Abstract
PURPOSE OF REVIEW To provide an overview of recently published articles covering melanoma management of the head and neck region. RECENT FINDINGS Melanoma management represents a rapidly evolving field. The advent of immunotherapy has led to significant changes in diagnosis, treatment, and surveillance for these patients. Invasive interventions including completion lymph node dissection have been largely replaced with increased surveillance driven by robust data showing no significant difference in overall survival. Studies have explored various treatment regimens that offer improved outcomes with the least adverse events, with a recent trend towards neoadjuvant therapy. Research has also shifted towards better understanding genetics and biomarkers that influence response to these medications. The best means to both identify and monitor these changes is being explored. As our understanding of this complex disease process continues to grow, prognosis in patients suffering with melanoma should continue to improve. SUMMARY The expansion of immunotherapy use in melanoma management has led to significantly improved prognosis in diagnosed patients. Present research is largely focused on better understanding the ideal patient populations, dosing, and surveillance for these therapies. Data from these studies will be crucial in better staging and treating patients with melanoma.
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Simó-Perdigó M, Vercher-Conejero JL, Viteri S, García-Velloso MJ. Immunotherapy, cancer and PET. Rev Esp Med Nucl Imagen Mol 2021; 40:123-135. [PMID: 33674234 DOI: 10.1016/j.remn.2021.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 02/04/2021] [Indexed: 10/22/2022]
Abstract
The treatment of cancer by immunotherapy has been a revolution, as it is the first strategy that manages to control the disease for prolonged periods of time. Its efficacy is associated with different imaging response patterns and the appearance of new toxicities. We would highlight two patterns of tumour response: pseudoprogression, or growth of tumour lesions after the start of immunotherapy treatment, followed by a significant reduction in lesions, and hyperprogression, acceleration of tumour progression and metastasis early after the start of treatment. The emergence of such patterns has generated new metabolic response criteria, such as PECRIT, PERCIMT, imPERCIST and IPERCIST. Of particular interest are the new immunoPET-specific biomarkers, as they allow the identification of patients presenting the tumour target and are useful for predicting response to immunotherapy.
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Affiliation(s)
- M Simó-Perdigó
- Servicio de Medicina Nuclear, Hospital Universitario Vall de Hebrón, Barcelona, España; Grupo de Oncología de la SEMNIM.
| | - J L Vercher-Conejero
- Servicio de Medicina Nuclear, Unidad PET, Hospital Universitario de Bellvitge-IDIBELL, Barcelona, España; Grupo de Oncología de la SEMNIM
| | - S Viteri
- Instituto Oncológico Dr. Rosell, CM Teknon, Grupo QuironSalud, Barcelona, España; Grupo de Oncología de la SEMNIM
| | - M J García-Velloso
- Servicio de Medicina Nuclear, Clínica Universidad de Navarra, Pamplona, España; Grupo de Oncología de la SEMNIM
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Simó-Perdigó M, Vercher-Conejero J, Viteri S, García-Velloso M. Immunotherapy, cancer and PET. Rev Esp Med Nucl Imagen Mol 2021. [DOI: 10.1016/j.remnie.2021.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Serum CD4 Is Associated with the Infiltration of CD4 +T Cells in the Tumor Microenvironment of Gastric Cancer. J Immunol Res 2021; 2021:6539702. [PMID: 34258299 PMCID: PMC8246328 DOI: 10.1155/2021/6539702] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 02/16/2021] [Indexed: 12/14/2022] Open
Abstract
Serum CD4, CD8, and CD19 are markers of systemic inflammation. However, there is little evidence on the influence of inflammation on the tumor microenvironment and the prognostic indicators of gastric cancer (GC). In this study, two hundred and eight patients who underwent radical gastrectomy for GC were included. Preoperative peripheral blood samples were used to analyze Serum CD4, CD8, and CD19. The optimal cutoff levels for CD4, CD8, and CD19 were defined by receiver operating characteristic curve analysis (CD4 = 38.85%, CD8 = 14.35%, and CD19 = 7.40%). The areas with specific CD4+T cells, CD8+T cells, and CD19+B cells within the tumor microenvironment were measured in paraffin sections by immunohistochemistry and analyzed by Image-Pro Plus. 94 patients had low CD4, and 124 patients had high CD4 levels. 31 patients had low CD8, and 187 patients had high CD8 levels. 64 patients had low CD19, and 154 patients had high CD19 levels. Infiltration of CD4+T cells was associated with serum CD4 (P < 0.001). Serum CD4 and CD19 and the infiltration of CD4+T cells, CD8+T cells, and CD19+B cells were significant in predicting the prognosis of GC. Low CD4 level, infiltration of CD8+T cells, and high infiltration of CD4+T cells and CD19+B cells were correlated with worse overall survival in multivariate analysis. Collectively, our results provide evidence that serum CD4 is associated with the infiltration of CD4+T cells in the tumor microenvironment, which indicates the prognostic value of systemic inflammation in GC.
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Expected and non-expected immune-related adverse events detectable by CT. Eur J Radiol 2021; 138:109617. [PMID: 33676358 DOI: 10.1016/j.ejrad.2021.109617] [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: 11/18/2020] [Revised: 02/15/2021] [Accepted: 02/24/2021] [Indexed: 11/20/2022]
Abstract
PURPOSE Cancer treatments with immune checkpoint inhibitors (ICI) are associated with a unique set of drug toxicities called immune-related adverse events (irAES). The aim of the present study was to describe the radiological manifestation of irAES detectable by CT. METHOD Retrospective analysis of 284 patients treated with ICI for various types of advanced cancer; of them, 129 patients were selected, all having been treated with single-agent ICI, and all with a baseline CT scan and follow-up scans available at our Institute. CT examinations were reviewed by two radiologists involved in the study with a consensus reading. Imaging findings consistent with irAES were reported and correlated with clinical-laboratory data. RESULTS Immune-related adverse events were found in 25/129 (19.4 %) patients. No statistically significant differences were found in either the prevalence of irAES or in the time of onset of tumour type. Thoracic complications were detected in 14/25 (56.0 %) patients consisting in: 3 radiation recall pneumonia, 3 Transient Asymptomatic Pulmonary Opacities (TAPOs), 3 hypersensitivity pneumonia, 2 diffuse alveolar damage, 2 organizing pneumonia, 1 sarcoid-like reaction. In the remaining 11/25 (44.0 %), there were extra-pulmonary complications: 3 colitis, 4 cholecystitis, 2 pancreatitis and 2 cases of visceral ischemia. CONCLUSIONS Radiologists should be aware of the wide spectrum of irAES as they could affect the outcome. Pneumonia is the most frequent irAES; however, the international classification for interstitial lung disease does not seem to be capable of describing all possible drug-related pulmonary toxicities. Additional findings included TAPOs, radiation recall pneumonia and sarcoid-like reaction.
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Yirgin IK, Erturk SM, Dogan I, Vatansever S. Are radiologists ready to evaluate true response to immunotherapy? Insights Imaging 2021; 12:29. [PMID: 33625595 PMCID: PMC7905005 DOI: 10.1186/s13244-021-00968-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: 10/20/2020] [Accepted: 01/12/2021] [Indexed: 12/14/2022] Open
Abstract
Background Standardized response criteria for evaluating patients radiological imaging have an essential role in oncological management. Immunotherapy, using immune checkpoint inhibitors (ICIs), including drugs targeting cytotoxic T-lymphocyte-associated antigen 4 and programmed cell death protein 1 or its ligand, promise a new role that has demonstrated improvement management in cancers resistant to chemotherapy. This article reviews the literature to understand the most useful response evaluation criteria for optimal patient management under immunotherapy treatment. Areas that warrant further research are described. Conclusion In conclusion, ICIs have become more widely accepted and used by medical oncologists. Radiologists face challenges in assessing tumor response and becoming more involved in the management of treatment. The latest published immune-RECIST criteria can be used in response assessment, but further prospective evaluation is needed with registration clinical trials to be definitively validated.
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Affiliation(s)
- Inci Kizildag Yirgin
- Department of Radiology, Oncology Institute, Istanbul University, Istanbul, 34390, Capa, Turkey.
| | - Sukru Mehmet Erturk
- Department of Radiology, Istanbul Medical Faculty, Istanbul University, Istanbul, 34390, Capa, Turkey
| | - Izzet Dogan
- Department of Medical Oncology, Oncology Institute, Istanbul University, Istanbul, 34390, Capa, Turkey
| | - Sezai Vatansever
- Department of Medical Oncology, Oncology Institute, Istanbul University, Istanbul, 34390, Capa, Turkey
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Abstract
Traditionally, treatment responses to chemotherapy had been based on Response Evaluation Criteria in Solid Tumours (RECIST) criteria evaluating tumor shrinkage, stabilization of disease, growth, or development of new metastatic lesions. Using the same criteria to determine response in patients on immunotherapy has proven difficult, as some patients have initial growth of disease or develop new small metastatic lesions. The phenomenon of pseudoprogression is the initial growth of a primary lesion followed by latent or delayed response. Advanced practitioners need to be aware of the possibility of pseudoprogression in order to educate patients and help them stay on effective treatment.
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Affiliation(s)
| | - Donna Lee Gerber
- The University of Texas MD Anderson Cancer Center, Houston, Texas
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Crotty EE, Downey KM, Ferrerosa LM, Flores CT, Hegde B, Raskin S, Hwang EI, Vitanza NA, Okada H. Considerations when treating high-grade pediatric glioma patients with immunotherapy. Expert Rev Neurother 2021; 21:205-219. [PMID: 33225764 PMCID: PMC7880880 DOI: 10.1080/14737175.2020.1855144] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 11/20/2020] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Children with high-grade gliomas (pHGGs) represent a clinical population in substantial need of new therapeutic options given the inefficacy and toxicity of current standard-of-care modalities. Although immunotherapy has emerged as a promising modality, it has yet to elicit a significant survival benefit for pHGG patients. While preclinical studies address a variety of underlying challenges, translational clinical trial design and management also need to reflect the most updated progress and lessons from the field. AREAS COVERED The authors will focus our discussion on the design of clinical trials, the management of potential toxicities, immune monitoring, and novel biomarkers. Clinical trial design should integrate appropriate patient populations, novel, and preclinically optimized trial design, and logical treatment combinations, particularly those which synergize with standard of care modalities. However, there are caveats due to the nature of immunotherapy trials, such as patient selection bias, evidenced by the frequent exclusion of patients on high-dose corticosteroids. Robust immune-modulating effects of modern immunotherapy can have toxicities. As such, it is important to understand and manage these, especially in pHGG patients. EXPERT OPINION Adequate integration of these considerations should allow us to effectively gain insights on biological activity, safety, and biomarkers associated with benefits for patients.
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Affiliation(s)
- Erin E. Crotty
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Seattle Children’s Hospital, University of Washington, Seattle, WA, USA
| | - Kira M. Downey
- Department of Neurological Surgery, Helen Diller Family Comprehensive Cancer Research Center, University of California San Francisco, San Francisco, CA, USA
| | - Lauren M. Ferrerosa
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, UCSF Benioff Children’s Hospital, Oakland, 747 52nd Street, Oakland, CA, USA
| | | | - Bindu Hegde
- Department of Neurological Surgery, Helen Diller Family Comprehensive Cancer Research Center, University of California San Francisco, San Francisco, CA, USA
| | - Scott Raskin
- Children’s National Hospital, Washington, DC, USA
| | | | - Nicholas A. Vitanza
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Seattle Children’s Hospital, University of Washington, Seattle, WA, USA
- Ben Towne Center for Childhood Cancer Research, Seattle Children’s Research Institute, Seattle, WA, USA
| | - Hideho Okada
- Department of Neurological Surgery, Helen Diller Family Comprehensive Cancer Research Center, University of California San Francisco, San Francisco, CA, USA
- The Parker Institute for Cancer Immunotherapy, University of California, San Francisco, San Francisco, CA, USA
- Cancer Immunotherapy Program, University of California, San Francisco, San Francisco, CA, USA
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Carreira B, Acúrcio RC, Matos AI, Peres C, Pozzi S, Vaskovich‐Koubi D, Kleiner R, Bento M, Satchi‐Fainaro R, Florindo HF. Nanomedicines as Multifunctional Modulators of Melanoma Immune Microenvironment. ADVANCED THERAPEUTICS 2021. [DOI: 10.1002/adtp.202000147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Barbara Carreira
- Research Institute for Medicines (iMed.ULisboa) Faculty of Pharmacy, University of Lisbon Av. Prof. Gama Pinto Lisboa 1649‐003 Portugal
| | - Rita C. Acúrcio
- Research Institute for Medicines (iMed.ULisboa) Faculty of Pharmacy, University of Lisbon Av. Prof. Gama Pinto Lisboa 1649‐003 Portugal
| | - Ana I. Matos
- Research Institute for Medicines (iMed.ULisboa) Faculty of Pharmacy, University of Lisbon Av. Prof. Gama Pinto Lisboa 1649‐003 Portugal
| | - Carina Peres
- Research Institute for Medicines (iMed.ULisboa) Faculty of Pharmacy, University of Lisbon Av. Prof. Gama Pinto Lisboa 1649‐003 Portugal
| | - Sabina Pozzi
- Department of Physiology and Pharmacology, Sackler Faculty of Medicine Tel Aviv University Tel Aviv 6997801 Israel
| | - Daniella Vaskovich‐Koubi
- Department of Physiology and Pharmacology, Sackler Faculty of Medicine Tel Aviv University Tel Aviv 6997801 Israel
| | - Ron Kleiner
- Department of Physiology and Pharmacology, Sackler Faculty of Medicine Tel Aviv University Tel Aviv 6997801 Israel
| | - Mariana Bento
- Research Institute for Medicines (iMed.ULisboa) Faculty of Pharmacy, University of Lisbon Av. Prof. Gama Pinto Lisboa 1649‐003 Portugal
| | - Ronit Satchi‐Fainaro
- Department of Physiology and Pharmacology, Sackler Faculty of Medicine Tel Aviv University Tel Aviv 6997801 Israel
| | - Helena F. Florindo
- Research Institute for Medicines (iMed.ULisboa) Faculty of Pharmacy, University of Lisbon Av. Prof. Gama Pinto Lisboa 1649‐003 Portugal
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Costa LB, Queiroz MA, Barbosa FG, Nunes RF, Zaniboni EC, Ruiz MM, Jardim D, Gomes Marin JF, Cerri GG, Buchpiguel CA. Reassessing Patterns of Response to Immunotherapy with PET: From Morphology to Metabolism. Radiographics 2020; 41:120-143. [PMID: 33275541 DOI: 10.1148/rg.2021200093] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Cancer demands precise evaluation and accurate and timely assessment of response to treatment. Imaging must be performed early during therapy to allow adjustments to the course of treatment. For decades, cross-sectional imaging provided these answers, showing responses to the treatment through changes in tumor size. However, with the emergence of immune checkpoint inhibitors, complex immune response patterns were revealed that have quickly highlighted the limitations of this approach. Patterns of response beyond tumor size have been recognized and include cystic degeneration, necrosis, hemorrhage, and cavitation. Furthermore, new unique patterns of response have surfaced, like pseudoprogression and hyperprogression, while other patterns were shown to be deceptive, such as unconfirmed progressive disease. This evolution led to new therapeutic evaluation criteria adapted specifically for immunotherapy. Moreover, inflammatory adverse effects of the immune checkpoint blockade were identified, many of which were life threatening and requiring prompt intervention. Given complex concepts like tumor microenvironment and novel therapeutic modalities in the era of personalized medicine, increasingly sophisticated imaging techniques are required to address the intricate patterns of behavior of different neoplasms. Fluorine 18-fluorodeoxyglucose PET/CT has rapidly emerged as one such technique that spans both molecular biology and immunology. This imaging technique is potentially capable of identifying and tracking prognostic biomarkers owing to its combined use of anatomic and metabolic imaging, which enables it to characterize biologic processes in vivo. This tailored approach may provide whole-body quantification of the metabolic burden of disease, providing enhanced prediction of treatment response and improved detection of adverse events. ©RSNA, 2020.
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Affiliation(s)
- Larissa B Costa
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Marcelo A Queiroz
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Felipe G Barbosa
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Rafael F Nunes
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Elaine C Zaniboni
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Mariana Mazo Ruiz
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Denis Jardim
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Jose Flavio Gomes Marin
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Giovanni G Cerri
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
| | - Carlos A Buchpiguel
- From the Departments of Radiology (L.B.C., M.A.Q., F.G.B., R.F.N., E.C.Z., M.M.R., J.F.G.M., G.G.C., C.A.B.) and Oncology (D.J.), Hospital Sírio-Libanês, Rua Dona Adma Jafet 115, 01308-060 São Paulo, SP, Brazil; and Department of Radiology and Oncology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil (M.A.Q., J.F.G.M., G.G.C., C.A.B.)
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Zheng B, Shin JH, Li H, Chen Y, Guo Y, Wang M. Comparison of Radiological Tumor Response Based on iRECIST and RECIST 1.1 in Metastatic Clear-Cell Renal Cell Carcinoma Patients Treated with Programmed Cell Death-1 Inhibitor Therapy. Korean J Radiol 2020; 22:366-375. [PMID: 33289356 PMCID: PMC7909853 DOI: 10.3348/kjr.2020.0404] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 09/02/2020] [Accepted: 09/17/2020] [Indexed: 12/23/2022] Open
Abstract
Objective To evaluate the radiological tumor response patterns and compare the response assessments based on immune-based therapeutics Response Evaluation Criteria in Solid Tumors (iRECIST) and RECIST 1.1 in metastatic clear-cell renal cell carcinoma (mccRCC) patients treated with programmed cell death-1 (PD-1) inhibitors. Materials and Methods All mccRCC patients treated with PD-1 inhibitors at Henan Cancer Hospital, China, between January 2018 and April 2019, were retrospectively studied. A total of 30 mccRCC patients (20 males and 10 females; mean age, 55.6 years; age range, 37–79 years) were analyzed. The target lesions were quantified on consecutive CT scans during therapy using iRECIST and RECIST 1.1. The tumor growth rate was calculated before and after therapy initiation. The response patterns were analyzed, and the differences in tumor response assessments of the two criteria were compared. The intra- and inter-observer variabilities of iRECIST and RECIST 1.1 were also analyzed. Results The objective response rate throughout therapy was 50% (95% confidence interval [CI]: 32.1–67.9) based on iRECIST and 30% (95% CI: 13.6–46.4) based on RECIST 1.1. The time-to-progression (TTP) based on iRECIST was longer than that based on RECIST 1.1 (median TTP: not reached vs. 170 days, p = 0.04). iRECIST and RECIST 1.1 were discordant in 8 cases, which were evaluated as immune-unconfirmed PD based on iRECIST and PD based on RECIST 1.1. Six patients (20%, 6/30) had pseudoprogression based on iRECIST, of which four demonstrated early pseudoprogression and two had delayed pseudoprogression. Significant differences in the tumor response assessments based on the two criteria were observed (p < 0.001). No patients demonstrated hyperprogression during the study period. Conclusion Our study confirmed that the iRECIST criteria are more capable of capturing immune-related atypical responses during immunotherapy, whereas conventional RECIST 1.1 may underestimate the benefit of PD-1 inhibitors. Pseudoprogression is not rare in mccRCC patients during PD-1 inhibitor therapy, and it may last for more than the recommended maximum of 8 weeks, indicating a limitation of the current strategy for immune response monitoring.
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Affiliation(s)
- Bingjie Zheng
- Department of Radiology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.,Department of Radiology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Ji Hoon Shin
- Department of Radiology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.,Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hailiang Li
- Department of Radiology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanqiong Chen
- Department of Radiology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuan Guo
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Meiyun Wang
- Department of Radiology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.
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Sorace AG, Elkassem AA, Galgano SJ, Lapi SE, Larimer BM, Partridge SC, Quarles CC, Reeves K, Napier TS, Song PN, Yankeelov TE, Woodard S, Smith AD. Imaging for Response Assessment in Cancer Clinical Trials. Semin Nucl Med 2020; 50:488-504. [PMID: 33059819 PMCID: PMC7573201 DOI: 10.1053/j.semnuclmed.2020.05.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The use of biomarkers is integral to the routine management of cancer patients, including diagnosis of disease, clinical staging and response to therapeutic intervention. Advanced imaging metrics with computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) are used to assess response during new drug development and in cancer research for predictive metrics of response. Key components and challenges to identifying an appropriate imaging biomarker are selection of integral vs integrated biomarkers, choosing an appropriate endpoint and modality, and standardization of the imaging biomarkers for cooperative and multicenter trials. Imaging biomarkers lean on the original proposed quantified metrics derived from imaging such as tumor size or longest dimension, with the most commonly implemented metrics in clinical trials coming from the Response Evaluation Criteria in Solid Tumors (RECIST) criteria, and then adapted versions such as immune-RECIST (iRECIST) and Positron Emission Tomography Response Criteria in Solid Tumors (PERCIST) for immunotherapy response and PET imaging, respectively. There have been many widely adopted biomarkers in clinical trials derived from MRI including metrics that describe cellularity and vascularity from diffusion-weighted (DW)-MRI apparent diffusion coefficient (ADC) and Dynamic Susceptibility Contrast (DSC) or dynamic contrast enhanced (DCE)-MRI (Ktrans, relative cerebral blood volume (rCBV)), respectively. Furthermore, Fluorodexoyglucose (FDG), fluorothymidine (FLT), and fluoromisonidazole (FMISO)-PET imaging, which describe molecular markers of glucose metabolism, proliferation and hypoxia have been implemented into various cancer types to assess therapeutic response to a wide variety of targeted- and chemotherapies. Recently, there have been many functional and molecular novel imaging biomarkers that are being developed that are rapidly being integrated into clinical trials (with anticipation of being implemented into clinical workflow in the future), such as artificial intelligence (AI) and machine learning computational strategies, antibody and peptide specific molecular imaging, and advanced diffusion MRI. These include prostate-specific membrane antigen (PSMA) and trastuzumab-PET, vascular tumor burden extracted from contrast-enhanced CT, diffusion kurtosis imaging, and CD8 or Granzyme B PET imaging. Further excitement surrounds theranostic procedures such as the combination of 68Ga/111In- and 177Lu-DOTATATE to use integral biomarkers to direct care and personalize therapy. However, there are many challenges in the implementation of imaging biomarkers that remains, including understand the accuracy, repeatability and reproducibility of both acquisition and analysis of these imaging biomarkers. Despite the challenges associated with the biological and technical validation of novel imaging biomarkers, a distinct roadmap has been created that is being implemented into many clinical trials to advance the development and implementation to create specific and sensitive novel imaging biomarkers of therapeutic response to continue to transform medical oncology.
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Affiliation(s)
- Anna G Sorace
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL; Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL.
| | - Asser A Elkassem
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL
| | - Samuel J Galgano
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
| | - Suzanne E Lapi
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL; Department of Chemistry, University of Alabama at Birmingham, Birmingham, AL
| | - Benjamin M Larimer
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
| | | | - C Chad Quarles
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ
| | - Kirsten Reeves
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL; Cancer Biology, University of Alabama at Birmingham, Birmingham, AL
| | - Tiara S Napier
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL; Cancer Biology, University of Alabama at Birmingham, Birmingham, AL
| | - Patrick N Song
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL
| | - Thomas E Yankeelov
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX; Department of Diagnostic Medicine, University of Texas at Austin, Austin, TX; Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX
| | - Stefanie Woodard
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL
| | - Andrew D Smith
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL
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García-Figueiras R, Baleato-González S, Luna A, Muñoz-Iglesias J, Oleaga L, Vallejo Casas JA, Martín-Noguerol T, Broncano J, Areses MC, Vilanova JC. Assessing Immunotherapy with Functional and Molecular Imaging and Radiomics. Radiographics 2020; 40:1987-2010. [PMID: 33035135 DOI: 10.1148/rg.2020200070] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Immunotherapy is changing the treatment paradigm for cancer and has introduced new challenges in medical imaging. Because not all patients benefit from immunotherapy, pretreatment imaging should be performed to identify not only prognostic factors but also factors that allow prediction of response to immunotherapy. Follow-up studies must allow detection of nonresponders, without confusion of pseudoprogression with real progression to prevent premature discontinuation of treatment that can benefit the patient. Conventional imaging techniques and classic tumor response criteria are limited for the evaluation of the unusual patterns of response that arise from the specific mechanisms of action of immunotherapy, so advanced imaging methods must be developed to overcome these shortcomings. The authors present the fundamentals of the tumor immune microenvironment and immunotherapy and how they influence imaging findings. They also discuss advances in functional and molecular imaging techniques for the assessment of immunotherapy in clinical practice, including their use to characterize immune phenotypes, assess patient prognosis and response to therapy, and evaluate immune-related adverse events. Finally, the development of radiomics and radiogenomics in these therapies and the future role of imaging biomarkers for immunotherapy are discussed. Online supplemental material is available for this article. ©RSNA, 2020.
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Affiliation(s)
- Roberto García-Figueiras
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Sandra Baleato-González
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Antonio Luna
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - José Muñoz-Iglesias
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Laura Oleaga
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Juan Antonio Vallejo Casas
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Teodoro Martín-Noguerol
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Jordi Broncano
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - María Carmen Areses
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
| | - Joan C Vilanova
- From the Department of Radiology, Oncologic Imaging, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706, Santiago de Compostela, Spain (R.G.F., S.B.G.); Department of Radiology, HT Medica, Jaén, Spain (A.L, J.B.); Department of Nuclear Medicine, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (J.M.I.); Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain (L.O.); Unidad de Gestión Clínica de Medicina Nuclear, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain (J.A.V.C.); MRI Unit, HT Medica, Jaén, Spain (T.M.N.); Department of Medical Oncology, Complexo Hospitalario Universitario de Ourense, Ourense, Spain (M.C.A.); and Department of Radiology, Clínica Girona, Institute of Diagnostic Imaging, Girona, Spain (J.C.V.)
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42
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Immunotherapy and Response Assessment in Malignant Glioma: Neuro-oncology Perspective. Top Magn Reson Imaging 2020; 29:95-102. [PMID: 32271286 DOI: 10.1097/rmr.0000000000000233] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Glioblastoma (GBM) is the deadliest form of brain cancer and recurs uniformly. Despite aggressive treatment with maximal safe surgical resection, adjuvant radiation with temozolomide chemotherapy, and alternating electrical field therapy, median survival for newly diagnosed GBM remains <2 years. Novel therapies are desperately needed. Immunotherapy, which has led to significant improvement in patient outcomes across many tumor types, is currently being studied in a large number of GBM clinical trials. One of the biggest challenges in immunotherapy trials in GBM has been accurate response assessment using currently available imaging modalities, including magnetic resonance imaging. In this review, we will discuss the rationale for immunotherapy for GBM, immunotherapeutic modalities currently under clinical evaluation in GBM, and the challenges and recent advances in imaging response assessment in GBM immunotherapy.
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43
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Humbert O, Chardin D. Dissociated Response in Metastatic Cancer: An Atypical Pattern Brought Into the Spotlight With Immunotherapy. Front Oncol 2020; 10:566297. [PMID: 33072599 PMCID: PMC7531255 DOI: 10.3389/fonc.2020.566297] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 08/12/2020] [Indexed: 12/15/2022] Open
Abstract
When evaluating metastatic tumor response to systemic therapies, dissociated response is defined as the coexistence of responding and non-responding lesions within the same patient. Although commonly observed on interim whole-body imaging, the current response criteria in solid cancer do not consider this evolutive pattern, which is, by default, assimilated to progression. With targeted therapies and chemotherapies, dissociated response is observed with different frequencies, depending on the primary cancer type, treatment, and imaging modality. Because FDG PET/CT can easily assess response on a lesion-by-lesion basis, thus quickly revealing response heterogeneity, a PET/CT dissociated response has been described in up to 48% of women treated for a metastatic breast cancer. Although some studies have underlined a specific prognostic of dissociated response, it has always ended up being described as an unfavorable prognostic pattern and therefore assimilated to the “Progressive Disease” category of RECIST/PERCIST. This dichotomous imaging report (response vs. progression) provides a simple information for clinical decision-support, which probably explains the relatively low consideration for the dissociated response pattern to chemotherapies and targeted therapies until now. With immune checkpoint inhibitors, this paradigm is quickly changing. Dissociated response is observed in around 10% of advanced lung cancer patients and appears to be associated to treatment efficiency. Indeed, for this subset of patients, a clinical benefit of immunotherapy and favorable prognosis are usually observed. This specific pattern should therefore be considered in the future immunotherapy-adapted criteria for response evaluation using CT and PET/CT, and specific clinical managements should be evaluated for this response pattern.
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Affiliation(s)
- Olivier Humbert
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur, Nice, France.,TIRO-UMR E 4320, Université Côte d'Azur, Nice, France
| | - David Chardin
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur, Nice, France.,TIRO-UMR E 4320, Université Côte d'Azur, Nice, France
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44
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Pourvaziri A, Parakh A, Biondetti P, Sahani D, Kambadakone A. Abdominal CT manifestations of adverse events to immunotherapy: a primer for radiologists. Abdom Radiol (NY) 2020; 45:2624-2636. [PMID: 32451672 DOI: 10.1007/s00261-020-02531-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Immunotherapy is a rapidly growing field within oncology and is being increasingly used in the management of several malignancies. Due to their unique mechanism of action on the immune system and neoplastic cells, the response pattern and adverse events of this novel therapy are distinct from conventional systemic therapies. Accordingly, the imaging appearances following immunotherapy including adverse events are unique and at times perplexing. Imaging is integral to management of patients on immunotherapeutic agents and a thorough understanding of its mechanism, response patterns and adverse events is crucial for precise interpretation of imaging studies. This review provides a description of the mechanism of action of current immunotherapeutic agents and the organ-wise description of their side effects.
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Affiliation(s)
- Ali Pourvaziri
- Division of Abdominal Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Anushri Parakh
- Division of Abdominal Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Pierpaolo Biondetti
- Division of Abdominal Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Dushyant Sahani
- Department of Radiology, University of Washington, UWMC Radiology RR218, 1959 NE Pacific St, Seattle, WA, 98195, USA
| | - Avinash Kambadakone
- Division of Abdominal Imaging, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA, 02114, USA.
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45
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A multidisciplinary consensus on the morphological and functional responses to immunotherapy treatment. Clin Transl Oncol 2020; 23:434-449. [PMID: 32623581 PMCID: PMC7936941 DOI: 10.1007/s12094-020-02442-3] [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: 01/25/2020] [Accepted: 06/22/2020] [Indexed: 02/08/2023]
Abstract
The implementation of immunotherapy has radically changed the treatment of oncological patients. Currently, immunotherapy is indicated in the treatment of patients with head and neck tumors, melanoma, lung cancer, bladder tumors, colon cancer, cervical cancer, breast cancer, Merkel cell carcinoma, liver cancer, leukemia and lymphomas. However, its efficacy is restricted to a limited number of cases. The challenge is, therefore, to identify which subset of patients would benefit from immunotherapy. To this end, the establishment of immunotherapy response criteria and predictive and prognostic biomarkers is of paramount interest. In this report, a group of experts of the Spanish Society of Medical Oncology (SEOM), the Spanish Society of Medical Radiology (SERAM), and Spanish Society of Nuclear Medicine and Molecular Imaging (SEMNIM) provide an up-to-date review and a consensus guide on these issues.
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46
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Ishihara H, Takagi T, Kondo T, Fukuda H, Yoshida K, Tanabe K. Nivolumab treatment beyond progression for metastatic renal cell carcinoma: New role of metastasectomy in the immune checkpoint inhibitor era? Int J Urol 2020; 27:691-692. [PMID: 32476185 DOI: 10.1111/iju.14269] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Hiroki Ishihara
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Toshio Takagi
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Tsunenori Kondo
- Department of Urology, Tokyo Women's Medical University Medical Center East, Tokyo, Japan
| | - Hironori Fukuda
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Kazuhiko Yoshida
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Kazunari Tanabe
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
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47
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Decazes P, Bohn P. Immunotherapy by Immune Checkpoint Inhibitors and Nuclear Medicine Imaging: Current and Future Applications. Cancers (Basel) 2020; 12:E371. [PMID: 32041105 PMCID: PMC7072145 DOI: 10.3390/cancers12020371] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 01/21/2020] [Accepted: 02/04/2020] [Indexed: 12/12/2022] Open
Abstract
Immunotherapy by using immune checkpoint inhibitors is a revolutionary development in oncology. Medical imaging is also impacted by this new therapy, particularly nuclear medicine imaging (also called radionuclide imaging), which uses radioactive tracers to visualize metabolic functions. Our aim was to review the current applications of nuclear medicine imaging in immunotherapy, along with their limitations, and the perspectives offered by this imaging modality. Method: Articles describing the use of radionuclide imaging in immunotherapy were researched using PubMed by April 2019 and analyzed. Results: More than 5000 articles were analyzed, and nearly 100 of them were retained. Radionuclide imaging, notably 18F-FDG PET/CT, already has a major role in many cancers for pre-therapeutic and therapeutic evaluation, diagnoses of adverse effects, called immune-related adverse events (IrAE), and end-of-treatment evaluations. However, these current applications can be hindered by immunotherapy, notably due to atypical response patterns such as pseudoprogression, which is defined as an increase in the size of lesions, or the visualization of new lesions, followed by a response, and hyperprogression, which is an accelerated tumor growth rate after starting treatment. To overcome these difficulties, new opportunities are offered, particularly therapeutic evaluation criteria adapted to immunotherapy and immuno-PET allowing us to predict responses to immunotherapy. Moreover, some new technological solutions are also promising, such as radiomic analyses and body composition on associated anatomical images. However, more research has to be done, notably for the diagnosis of hyperprogression and pseudoprogression. Conclusion: Immunotherapy, by its major impact on cancer and by the new patterns generated on images, is revolutionary in the field of medical images. Nuclear medicine imaging is already established and will be able to help meet new challenges through its plasticity.
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Affiliation(s)
- Pierre Decazes
- Department of Nuclear Medicine, Henri Becquerel Cancer Center, 76000 Rouen, France;
- LITIS-QuantIF-EA (Equipe d’Accueil) 4108, IRIB, Faculty of Medicine, University of Rouen, 76000 Rouen, France
| | - Pierre Bohn
- Department of Nuclear Medicine, Henri Becquerel Cancer Center, 76000 Rouen, France;
- LITIS-QuantIF-EA (Equipe d’Accueil) 4108, IRIB, Faculty of Medicine, University of Rouen, 76000 Rouen, France
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48
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Abstract
The Quantitative Imaging Network of the National Cancer Institute is in its 10th year of operation, and research teams within the network are developing and validating clinical decision support software tools to measure or predict the response of cancers to various therapies. As projects progress from development activities to validation of quantitative imaging tools and methods, it is important to evaluate the performance and clinical readiness of the tools before committing them to prospective clinical trials. A variety of tests, including special challenges and tool benchmarking, have been instituted within the network to prepare the quantitative imaging tools for service in clinical trials. This article highlights the benchmarking process and provides a current evaluation of several tools in their transition from development to validation.
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Affiliation(s)
- Keyvan Farahani
- Cancer Imaging Program, National Cancer Institute of NIH, Bethesda, MD
| | - Darrell Tata
- Cancer Imaging Program, National Cancer Institute of NIH, Bethesda, MD
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Gorospe L, Pacios-Blanco RE, Garrido-López P. The Importance of Imaging Studies in the Assessment of Response to Immunotherapy in Lung Cancer. Arch Bronconeumol 2020; 56:380-389. [PMID: 31898993 DOI: 10.1016/j.arbres.2019.10.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 10/30/2019] [Accepted: 10/31/2019] [Indexed: 12/17/2022]
Abstract
Immunotherapy (particularly immune checkpoint inhibitors) in the treatment of patients with lung cancer has aroused great interest in recent years, revolutionized the management of patients with locally advanced/metastatic disease, and given hope to both patients and treating physicians. These drugs, in combination or in monotherapy, have become the standard treatment for many patients with lung cancer, and their use is expected to increase significantly in the near future. In this article, we will review the growing importance of imaging techniques in the evaluation of therapeutic response to immunotherapy in lung cancer patients, with emphasis on the new specific radiological criteria on response to immunotherapy, atypical radiological responses (pseudoprogresion, dissociative responses, hyperprogresion), and the main radiological manifestations of adverse events associated with immunotherapy (sarcoid reactions, pulmonary toxicities, etc.). Pulmonologists must be familiar not only with atypical radiological responses to immunotherapy and their prognostic implications, but also with their effects and the new radiological criteria of response to assess treatment response. In this study, we will address key concepts such as "pseudoprogresion", "paradoxical response", "hyperprogresion", or "unconfirmed progression", and their significance in the management of patients with lung cancer treated with immunotherapy.
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Affiliation(s)
- Luis Gorospe
- Servicio de Radiodiagnóstico, Hospital Universitario Ramón y Cajal, Madrid, España.
| | | | - Pilar Garrido-López
- Servicio de Oncología Médica, Hospital Universitario Ramón y Cajal, Madrid, España
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50
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Wu M, Zhang Y, Zhang Y, Liu Y, Wu M, Ye Z. Imaging-based Biomarkers for Predicting and Evaluating Cancer Immunotherapy Response. Radiol Imaging Cancer 2019; 1:e190031. [PMID: 33778682 DOI: 10.1148/rycan.2019190031] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 08/24/2019] [Accepted: 08/26/2019] [Indexed: 12/31/2022]
Abstract
Proper patient selection for immunotherapy is critical, as certain tumor microenvironments are more permissible to therapy than others. Currently, the use of programmed cell death ligand-1 (PD-L1) and microsatellite instability high and/or mismatch repair deficiency are used as biomarkers for immunotherapy response. To improve tumor characterization, methodologies are being developed to combine imaging with tumor immune environment characterization. Imaging of tumors from immunotherapy responders and nonresponders with various imaging modalities has led to the development of criteria that could predict patient response to immunotherapy. Additionally, radiomics-based artificial intelligence methods are being used to characterize tumor microenvironments to predict and evaluate immunotherapy responses, as well as to predict risk of immune-related adverse events. Molecular imaging techniques are also being developed for various modalities to observe tumor expression of immunotherapy targets, such as PD-L1 and, to confirm the target is being expressed on resident tumors. In all, the advancements of imaging techniques to define tumor immunologic characteristics will help to stratify patients who are more likely to respond to immunotherapies. Keywords: Computer Aided Diagnosis (CAD), Computer Applications-Virtual Imaging, Efficacy Studies, MR-Imaging, Molecular Imaging-Cancer, Molecular Imaging-Immunotherapy, Molecular Imaging-Nanoparticles, Molecular Imaging-Probe Development, Molecular Imaging-Target Development, SPECT/CT © RSNA, 2019.
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Affiliation(s)
- Minghao Wu
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer Key Laboratory of Cancer Prevention and Therapy, Huanhuxi Road, Hexi District, Tianjin 300060, PR China (M.W., Y.Z., Y. Z., Y.L., Z.Y.); and Institut National de la Recherche Scientifique-Énergie Matériaux et Télécommunications, Varennes, Quebec, Canada (Mingjie Wu)
| | - Yanyan Zhang
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer Key Laboratory of Cancer Prevention and Therapy, Huanhuxi Road, Hexi District, Tianjin 300060, PR China (M.W., Y.Z., Y. Z., Y.L., Z.Y.); and Institut National de la Recherche Scientifique-Énergie Matériaux et Télécommunications, Varennes, Quebec, Canada (Mingjie Wu)
| | - Yuwei Zhang
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer Key Laboratory of Cancer Prevention and Therapy, Huanhuxi Road, Hexi District, Tianjin 300060, PR China (M.W., Y.Z., Y. Z., Y.L., Z.Y.); and Institut National de la Recherche Scientifique-Énergie Matériaux et Télécommunications, Varennes, Quebec, Canada (Mingjie Wu)
| | - Ying Liu
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer Key Laboratory of Cancer Prevention and Therapy, Huanhuxi Road, Hexi District, Tianjin 300060, PR China (M.W., Y.Z., Y. Z., Y.L., Z.Y.); and Institut National de la Recherche Scientifique-Énergie Matériaux et Télécommunications, Varennes, Quebec, Canada (Mingjie Wu)
| | - Mingjie Wu
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer Key Laboratory of Cancer Prevention and Therapy, Huanhuxi Road, Hexi District, Tianjin 300060, PR China (M.W., Y.Z., Y. Z., Y.L., Z.Y.); and Institut National de la Recherche Scientifique-Énergie Matériaux et Télécommunications, Varennes, Quebec, Canada (Mingjie Wu)
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer Key Laboratory of Cancer Prevention and Therapy, Huanhuxi Road, Hexi District, Tianjin 300060, PR China (M.W., Y.Z., Y. Z., Y.L., Z.Y.); and Institut National de la Recherche Scientifique-Énergie Matériaux et Télécommunications, Varennes, Quebec, Canada (Mingjie Wu)
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