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Li S, Hu Y, Tian C, Luan J, Zhang X, Wei Q, Li X, Bian Y. Prediction of EGFR-TP53 genes co-mutations in patients with lung adenocarcinoma (LUAD) by 18F-FDG PET/CT radiomics. Clin Transl Oncol 2024:10.1007/s12094-024-03685-0. [PMID: 39251494 DOI: 10.1007/s12094-024-03685-0] [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: 06/16/2024] [Accepted: 08/20/2024] [Indexed: 09/11/2024]
Abstract
PURPOSE This retrospective study was undertaken to assess the predictive efficacy of 18F-FDG PET/CT -derived radiomic features concerning the co-mutation status of epidermal growth factor receptor (EGFR) and TP53 in LUAD. METHODS A cohort of 150 LUAD patients underwent pretreatment 18F-FDG PET/CT scans with known mutation status of EGFR and TP53 were collected. The feature extraction based on their PET/CT images utilized the Pyradiomics package based on the 3D Slicer. The optimal radiomic features were selected through correlation analysis and the Gradient Boosting Decision Tree (GBDT) algorithm, followed by the construction of the radiomic model. The clinical model incorporated meaningful clinical variables, whereas the complex model integrated both the radiomic and clinical models. The area under the receiver operating characteristic curve (AUC) facilitated the comparison of prediction performance across the three models. The DCA gauged the clinical utility of these models. RESULTS The patient cohort was randomly allocated into a training set (n = 105) and a validation set (n = 45) in a 7:3 ratio. Eleven PET and eleven CT optimal radiomic features were selected to construct the radiomic model. The model showed a good ability to discriminate the co-occurrence of EGFR and TP53, with AUC equal to 0.850 in the training set, and 0.748 in the validation set, compared with 0.750 and 0.626 for the clinical model. The complex model exhibited the highest AUC values, with 0.880 and 0.794 in both sets, but there were no significant differences compared to the radiomic model. The DCA revealed favorable clinical value. CONCLUSION
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Affiliation(s)
- Shuheng Li
- Hebei Medical University, Shijiazhuang, Hebei, China
- Department of Nuclear Medicine, Hebei General Hospital, Shijiazhuang, Hebei, China
- Department of Nuclear Medicine, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Yujing Hu
- Department of Nuclear Medicine, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Congna Tian
- Department of Nuclear Medicine, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Jiusong Luan
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Xinchao Zhang
- Department of Nuclear Medicine, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Qiang Wei
- Department of Nuclear Medicine, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Xiaodong Li
- Department of Nuclear Medicine, Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Yanzhu Bian
- Hebei Medical University, Shijiazhuang, Hebei, China.
- Department of Nuclear Medicine, Hebei General Hospital, Shijiazhuang, Hebei, China.
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Djunadi TA, Oh Y, Lee J, Yu J, Chung LIY, Lee Y, Kim L, Hong T, Lee S, Shah Z, Park JH, Yoon SM, Chae YK. Redefining Clinical Hyperprogression: The Incidence, Clinical Implications, and Risk Factors of Hyperprogression in Non-Small Cell Lung Cancer Treated with Immunotherapy. Clin Lung Cancer 2024; 25:365-375.e14. [PMID: 38644088 DOI: 10.1016/j.cllc.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/29/2024] [Accepted: 03/02/2024] [Indexed: 04/23/2024]
Abstract
INTRODUCTION Immune checkpoint inhibitors (ICIs) may be associated with hyperprogressive disease (HPD). However, there is currently no standardized definition of HPD, with its risk factors and clinical implications remaining unclear. We investigated HPD in lung cancer patients undergoing immunotherapy, aiming to redefine HPD, identify risk factors, and assess its impact on survival. METHODS Clinical and radiologic data from 121 non-small cell lung cancer (NSCLC) patients with 136 immunotherapy cases were reviewed retrospectively. Three HPD definitions (Champiat et al., HPDc; Saâda-Bouzid et al., HPDs; and Ferrara et al., HPDf) were employed. Additionally, all new measurable lesions on the post-treatment CT scan were incorporated in measuring the sum of longest diameters (SLD) to define modified HPD (mHPD). RESULTS Among the 121 patients, 4 (3.3%) had HPDc, 11 (9.1%) had HPDs, and none had HPDf. Adding all new measurable lesions increased HPD incidence by 5%-10% across definitions. Multivariate analysis revealed significantly lower progression-free survival (PFS) and overall survival (OS) for patients with HPDc (HR 5.25, P = .001; HR 3.75, P = .015) and HPDs (HR 3.74, P < .001; HR 3.46, P < .001) compared to those without. Patients with mHPD showed similarly poor survival outcomes as HPD patients. Liver metastasis at diagnosis was associated with HPDs, and a high tumor burden correlated with HPDc. CONCLUSIONS The incidence and risk factors of HPD varied with different definitions, but mHPD identified more cases with poor outcomes. This comprehensive approach may enhance the identification of at-risk patients and lead to a better understanding of HPD in lung cancer during immunotherapy.
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Affiliation(s)
- Trie Arni Djunadi
- Feinberg School of Medicine, Northwestern University, Chicago, IL; Department of Internal Medicine, Richmond University Medical Centre, Staten Island, NY
| | - Youjin Oh
- Feinberg School of Medicine, Northwestern University, Chicago, IL; Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL
| | - Jeeyeon Lee
- Feinberg School of Medicine, Northwestern University, Chicago, IL; School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jisang Yu
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Yeunho Lee
- Department of Pediatrics, University of Hawai'i, Honolulu, HI
| | - Leeseul Kim
- Department of Internal Medicine, Ascension Saint Francis Hospital, Evanston, IL
| | | | | | - Zunairah Shah
- Department of Hematology Oncology, Roswell Park Comprehensive Care Center, Buffalo, NY
| | - Joo Hee Park
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Sung Mi Yoon
- Department of Internal Medicine, Jacobi Medical Center/North Central Bronx Hospital Albert Einstein College of Medicine, Bronx, NY
| | - Young Kwang Chae
- Feinberg School of Medicine, Northwestern University, Chicago, IL.
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Karlsen W, Akily L, Mierzejewska M, Teodorczyk J, Bandura A, Zaucha R, Cytawa W. Is 18F-FDG-PET/CT an Optimal Imaging Modality for Detecting Immune-Related Adverse Events after Immune-Checkpoint Inhibitor Therapy? Pros and Cons. Cancers (Basel) 2024; 16:1990. [PMID: 38893111 PMCID: PMC11171385 DOI: 10.3390/cancers16111990] [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: 04/14/2024] [Revised: 05/15/2024] [Accepted: 05/18/2024] [Indexed: 06/21/2024] Open
Abstract
Immunotherapy with immune checkpoint inhibitors (ICIs) has revolutionized contemporary oncology, presenting efficacy in various solid tumors and lymphomas. However, ICIs may potentially overstimulate the immune system, leading to immune-related adverse events (irAEs). IrAEs may affect multiple organs, such as the colon, stomach, small intestine, kidneys, skin, lungs, joints, liver, lymph nodes, bone marrow, brain, heart, and endocrine glands (e.g., pancreas, thyroid, or adrenal glands), exhibiting autoimmune inflammation. 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) is commonly used in oncology for staging and assessment of therapy responses, but it may also serve as a tool for detecting irAEs. This review aims to present various patterns of metabolic activation associated with irAEs due to ICI treatment, identifiable through 18F-FDG PET/CT. It describes the advantages of early detection of irAEs, but also presents the challenges in differentiating them from tumor progression. It also delves into aspects of molecular response assessment within the context of pseudoprogression and hyperprogression, along with typical imaging findings related to these phenomena. Lastly, it summarizes the role of functional PET imaging in oncological immunotherapy, speculating on its future significance and limitations.
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Affiliation(s)
- William Karlsen
- Students’ Scientific Circle Department of Nuclear Medicine, Medical University of Gdańsk, 80-952 Gdańsk, Poland; (W.K.); (L.A.)
| | - Lin Akily
- Students’ Scientific Circle Department of Nuclear Medicine, Medical University of Gdańsk, 80-952 Gdańsk, Poland; (W.K.); (L.A.)
| | - Monika Mierzejewska
- Department of Nuclear Medicine, Medical University of Gdańsk, 80-952 Gdańsk, Poland; (M.M.); (J.T.)
| | - Jacek Teodorczyk
- Department of Nuclear Medicine, Medical University of Gdańsk, 80-952 Gdańsk, Poland; (M.M.); (J.T.)
| | - Artur Bandura
- Department of Clinical Oncology and Radiotherapy, Medical University of Gdańsk, 80-952 Gdańsk, Poland; (A.B.); (R.Z.)
| | - Renata Zaucha
- Department of Clinical Oncology and Radiotherapy, Medical University of Gdańsk, 80-952 Gdańsk, Poland; (A.B.); (R.Z.)
| | - Wojciech Cytawa
- Department of Nuclear Medicine, Medical University of Gdańsk, 80-952 Gdańsk, Poland; (M.M.); (J.T.)
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Larimer BM. PET Imaging for Monitoring Cellular and Immunotherapy of Cancer. Cancer J 2024; 30:153-158. [PMID: 38753749 PMCID: PMC11101150 DOI: 10.1097/ppo.0000000000000722] [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] [Indexed: 05/18/2024]
Abstract
ABSTRACT Cancer immunotherapy, including checkpoint blockade and cellular therapy, has become a cornerstone in cancer treatment. However, understanding the factors driving patient response or resistance to these therapies remains challenging. The dynamic interplay between the immune system and tumors requires new approaches for characterization. Biopsies and blood tests provide valuable information, but their limitations have led to increased interest in positron emission tomography (PET)/computed tomography imaging to complement these strategies. The noninvasive nature of PET imaging makes it ideal for monitoring the dynamic tumor immune microenvironment. This review discusses various PET imaging approaches, including immune cell lineage markers, immune functional markers, immune cell metabolism, direct cell labeling, and reporter genes, highlighting their potential in targeted immunotherapies and cell-based approaches. Although PET imaging has limitations, its integration into diagnostic strategies holds promise for improving patient outcomes and accelerating drug development in cancer immunotherapy.
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Affiliation(s)
- Benjamin M. Larimer
- Department of Radiology. The University of Alabama at Birmingham, Birmingham, Alabama
- O’Neal Comprehensive Cancer Center. The University of Alabama at Birmingham, Birmingham, Alabama
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Tricarico P, Chardin D, Martin N, Contu S, Hugonnet F, Otto J, Humbert O. Total metabolic tumor volume on 18F-FDG PET/CT is a game-changer for patients with metastatic lung cancer treated with immunotherapy. J Immunother Cancer 2024; 12:e007628. [PMID: 38649279 PMCID: PMC11043703 DOI: 10.1136/jitc-2023-007628] [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] [Accepted: 03/25/2024] [Indexed: 04/25/2024] Open
Abstract
PURPOSE Because of atypical response imaging patterns in patients with metastatic non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICPIs), new biomarkers are needed for a better monitoring of treatment efficacy. The aim of this prospective study was to evaluate the prognostic value of volume-derived positron-emission tomography (PET) parameters on baseline and follow-up 18F-fluoro-deoxy-glucose PET (18F-FDG-PET) scans and compare it with the conventional PET Response Criteria in Solid Tumors (PERCIST). METHODS Patients with metastatic NSCLC were included in two different single-center prospective trials. 18F-FDG-PET studies were performed before the start of immunotherapy (PETbaseline), after 6-8 weeks (PETinterim1) and after 12-16 weeks (PETinterim2) of treatment, using PERCIST criteria for tumor response assessment. Different metabolic parameters were evaluated: absolute values of maximum standardized uptake value (SUVmax) of the most intense lesion, total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), but also their percentage changes between PET studies (ΔSUVmax, ΔTMTV and ΔTLG). The median follow-up of patients was 31 (7.3-31.8) months. Prognostic values and optimal thresholds of PET parameters were estimated by ROC (Receiver Operating Characteristic) curve analysis of 12-month overall survival (12M-OS) and 6-month progression-free survival (6M-PFS). Tumor progression needed to be confirmed by a multidisciplinary tumor board, considering atypical response patterns on imaging. RESULTS 110 patients were prospectively included. On PETbaseline, TMTV was predictive of 12M-OS [AUC (Area Under Curve) =0.64; 95% CI: 0.61 to 0.66] whereas SUVmax and TLG were not. On PETinterim1 and PETinterim2, all metabolic parameters were predictive for 12M-OS and 6M-PFS, the residual TMTV on PETinterim1 (TMTV1) being the strongest prognostic biomarker (AUC=0.83 and 0.82; 95% CI: 0.74 to 0.91, for 12M-OS and 6M-PFS, respectively). Using the optimal threshold by ROC curve to classify patients into three TMTV1 subgroups (0 cm3; 0-57 cm3; >57 cm3), TMTV1 prognostic stratification was independent of PERCIST criteria on both PFS and OS, and significantly outperformed them. Subgroup analysis demonstrated that TMTV1 remained a strong prognostic biomarker of 12M-OS for non-responding patients (p=0.0003) according to PERCIST criteria. In the specific group of patients with PERCIST progression on PETinterim1, low residual tumor volume (<57 cm3) was still associated with a very favorable patients' outcome (6M-PFS=73%; 24M-OS=55%). CONCLUSION The absolute value of residual metabolic tumor volume, assessed 6-8 weeks after the start of ICPI, is an optimal and independent prognostic measure, exceeding and complementing conventional PERCIST criteria. Oncologists should consider it in patients with first tumor progression according to PERCIST criteria, as it helps identify patients who benefit from continued treatment. TRIAL REGISTRATION NUMBER 2018-A02116-49; NCT03584334.
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Affiliation(s)
- Pierre Tricarico
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Nice, France
| | - David Chardin
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Nice, France
- IBV, Université Côte d'Azur, CNRS, Inserm, Nice, France
| | - Nicolas Martin
- Department of Medical Oncology, Centre Antoine-Lacassagne, Nice, France
| | - Sara Contu
- Department of Biostatistics, Centre Antoine-Lacassagne, Nice, France
| | - Florent Hugonnet
- Department of Nuclear Medicine, Centre Hospitalier Princesse Grâce, Monaco
| | - Josiane Otto
- Department of Medical Oncology, Centre Antoine-Lacassagne, Nice, France
| | - Olivier Humbert
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Nice, France
- IBV, Université Côte d'Azur, CNRS, Inserm, Nice, France
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Ghodsi A, Hicks RJ, Iravani A. PET/Computed Tomography Transformation of Oncology: Immunotherapy Assessment. PET Clin 2024; 19:291-306. [PMID: 38199917 DOI: 10.1016/j.cpet.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
Immunotherapy approaches have changed the treatment landscape in a variety of malignancies with a high anti-tumor response. Immunotherapy may be associated with novel response and progression patterns that pose a substantial challenge to the conventional criteria for assessing treatment response, including response evaluation criteria in solid tumors (RECIST) 1.1. In addition to the morphologic details provided by computed tomography (CT) and MRI, hybrid molecular imaging emerges as a comprehensive imaging modality with the capacity to interrogate pathophysiological mechanisms like glucose metabolism. This review highlights the current status of 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) in prognostication, response monitoring, and identifying immune-related adverse events. Furthermore, it investigates the potential role of novel immuno-PET tracers that could complement the utilization of 18F-FDG PET/CT by imaging the specific pathways involved in immunotherapeutic strategies.
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Affiliation(s)
- Alireza Ghodsi
- Department of Radiology, University of Washington, 1144 Eastlake Avenue East, Seattle, WA 98109, USA
| | - Rodney J Hicks
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Australia; Department of Medicine, Central Clinical School, The Alfred Hospital, Monash University, Melbourne, Australia; The Melbourne Theranostic Innovation Centre, North Melbourne, Australia
| | - Amir Iravani
- Department of Radiology, University of Washington, 1144 Eastlake Avenue East, Seattle, WA 98109, USA.
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Daste A, Larroquette M, Gibson N, Lasserre M, Domblides C. Immunotherapy for head and neck squamous cell carcinoma: current status and perspectives. Immunotherapy 2024; 16:187-197. [PMID: 38126161 DOI: 10.2217/imt-2023-0174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Abstract
Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of several solid cancers, including head and neck squamous cell carcinoma (HNSCC). First approved for second-line settings, ICIs are now used for the first-line treatment of HNSCCs, mainly in combination with standard chemotherapy. This review focuses on the results of the main phase III studies evaluating ICIs in recurrent or metastatic HNSCCs. The efficacy and indications according to the PD-L1 status, the main predictive biomarker, are discussed. The results of trials assessing ICI efficacy for locally advanced disease, including the neoadjuvant setting are also discussed. Finally, therapeutic combinations that are potential treatments for HNSCCs, including ICIs and targeted therapies such as anti-EGFR agents, are presented.
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Affiliation(s)
- Amaury Daste
- Department of Medical Oncology, Hôpital Saint-André, CHU, Bordeaux, France
| | - Mathieu Larroquette
- Department of Medical Oncology, Hôpital Saint-André, CHU, Bordeaux, France
- IBGC, CNRS, UMR5095, University of Bordeaux, CNRS, IBGC, UMR 5095, Bordeaux, France
- Bordeaux University, 351 cours de la Libération CS10004 33405 Talence CEDEX, Bordeaux, France
| | - Nyere Gibson
- Department of Medical Oncology, Hôpital Saint-André, CHU, Bordeaux, France
- Bordeaux University, 351 cours de la Libération CS10004 33405 Talence CEDEX, Bordeaux, France
| | - Matthieu Lasserre
- Department of Medical Oncology, Hôpital Saint-André, CHU, Bordeaux, France
- Bordeaux University, 351 cours de la Libération CS10004 33405 Talence CEDEX, Bordeaux, France
| | - Charlotte Domblides
- Department of Medical Oncology, Hôpital Saint-André, CHU, Bordeaux, France
- Bordeaux University, 351 cours de la Libération CS10004 33405 Talence CEDEX, Bordeaux, France
- ImmunoConcEpt, CNRS UMR 5164, Bordeaux University, Bordeaux, 33076, France
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Liu F, Xiang Z, Li Q, Fang X, Zhou J, Yang X, Lin H, Yang Q. 18F-FDG PET/CT-based radiomics model for predicting the degree of pathological differentiation in non-small cell lung cancer: a multicentre study. Clin Radiol 2024; 79:e147-e155. [PMID: 37884401 DOI: 10.1016/j.crad.2023.09.017] [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: 04/28/2023] [Revised: 09/18/2023] [Accepted: 09/20/2023] [Indexed: 10/28/2023]
Abstract
AIM To explore the value of 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography (PET)/computed tomography (CT)-based radiomics model for predicting the degree of pathological differentiation in non-small-cell lung cancer (NSCLC). MATERIALS AND METHODS Clinical characteristics of 182 NSCLC patients from four centres were collected, and radiomics features were extracted from 18F-FDG PET/CT images. Three logistic regression prediction models were established: clinical model; radiomics model; and nomogram combining radiomics signatures and clinical features. The predictive ability of the models was assessed using receiver operating characteristics curve analysis. RESULTS Patients from centre 1 were assigned randomly to the training and internal validation cohorts (7:3 ratio); patients from centres 2-4 served as the external validation cohort. The area under the curve (AUC) values for the clinical model in the training, internal validation, and external validation cohort were 0.74 (95% confidence interval [CI] = 0.64-0.84), 0.64 (95% CI = 0.46-0.81), and 0.74 (95% CI = 0.60-0.88), respectively. In the training (AUC: 0.84 [95% CI = 0.77-0.92]), internal validation (AUC: 0.81 [95% CI = 0.67-0.95]), and external validation cohorts (AUC: 0.74 [95% CI = 0.58-0.89]), the radiomics model showed good predictive ability for differentiation. Compared to the clinical and radiomics models, the nomogram has relatively better diagnostic performance, and the AUC values for nomogram in the training, internal validation, and external validation cohort were 0.86 (95% CI = 0.78-0.93), 0.83 (95% CI = 0.70-0.96), and 0.77 (95% CI = 0.62-0.92), respectively. CONCLUSIONS The 18F-FDG PET/CT-based radiomics model showed good ability for predicting the degree of differentiation of NSCLC. The nomogram combining the radiomics signature and clinical features has relatively better diagnostic performance.
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Affiliation(s)
- F Liu
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Z Xiang
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Q Li
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - X Fang
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
| | - J Zhou
- The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, China
| | - X Yang
- Sichuan Science City Hospital, Mianyang, Sichuan 621000, China
| | - H Lin
- Department of Pharmaceutical Diagnosis, GE Healthcare, Changsha 410005, China
| | - Q Yang
- Center for Molecular Imaging Probe, Hunan Province Key Laboratory of Tumour Cellular and Molecular Pathology, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
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Li Y, Chen T, Nie TY, Han J, He Y, Tang X, Zhang L. Hyperprogressive disease in non-small cell lung cancer after PD-1/PD-L1 inhibitors immunotherapy: underlying killer. Front Immunol 2023; 14:1200875. [PMID: 37283759 PMCID: PMC10239849 DOI: 10.3389/fimmu.2023.1200875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 04/24/2023] [Indexed: 06/08/2023] Open
Abstract
Immune checkpoint inhibitors (ICIs) target the negative regulatory pathway of T cells and effectively reactive the anti-tumor immune function of T cells by blocking the key pathway of the immune escape mechanism of the tumor-PD-1/PD-L1, and fundamentally changing the prospect of immunotherapy for non-small cell lung cancer patients. However, such promising immunotherapy is overshadowed by Hyperprogressive Disease, a response pattern associated with unwanted accelerated tumor growth and characterized by poor prognosis in a fraction of treated patients. This review comprehensively provides an overview of Hyperprogressive Disease in immune checkpoint inhibitor-based immunotherapy for non-small cell lung cancer including its definition, biomarkers, mechanisms, and treatment. A better understanding of the black side of immune checkpoint inhibitors therapy will provide a more profound insight into the pros and cons of immunotherapy.
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Affiliation(s)
- Yanping Li
- Department of Respiratory Medicine, The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Tianhong Chen
- Department of Thoracic Surgery , The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Tian Yi Nie
- Department of Respiratory Medicine, The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Juyuan Han
- Department of Respiratory Medicine, The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Yunyan He
- Department of Thoracic Surgery, Yunnan Cancer Center, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xingxing Tang
- Department of Thoracic Surgery , The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Li Zhang
- Department of Oncology, Gejiu City People’s Hospital, Diannan Central Hospital of Honghe Prefecture, The Fifth Affiliated Hospital of Kunming Medical University, Gejiu, China
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Ohmoto A, Fuji S. Rapid T-cell lymphoma progression associated with immune checkpoint inhibitors. Expert Rev Hematol 2023:1-7. [PMID: 37191476 DOI: 10.1080/17474086.2023.2215424] [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: 05/17/2023]
Abstract
INTRODUCTION Immune checkpoint inhibitors (ICIs) are widely used for multiple types of malignancies and are considered the fourth pillar in cancer treatment. Anti-programmed death-1 (PD-1) antibodies pembrolizumab and nivolumab are approved for relapsed/refractory classical Hodgkin lymphoma. Nonetheless, two phase 2 trials for T-cell lymphoma were terminated because of hyperprogression after a single dose in some patients. AREAS COVERED In this review, we summarize available information on the rapid progression of peripheral T-cell lymphoma including adult T-cell leukemia/lymphoma (ATLL). EXPERT OPINION In the abovementioned two trials, disease subtypes in patients who experienced hyperprogression were mostly ATLL or angioimmunoblastic T-cell lymphoma. Possible hyperprogression mechanisms induced by PD-1 blockade are the compensatory upregulation of the expression of other checkpoints, altered expression of lymphoma-promoting growth factors, functional blockade of stromal PD-ligand 1 acting as a tumor suppressor, and unique immune environment in indolent ATLL. The differentiation between hyperprogression and pseudoprogression is practically essential. There are no established methods to predict hyperprogression before administration of an ICI. In the future, the progress of novel diagnostic modalities such as positron emission tomography with computed tomography and circulating tumor DNA is expected to facilitate early cancer detection.
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Affiliation(s)
- Akihiro Ohmoto
- Department of Medical Oncology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo 1358550, Japan
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Shigeo Fuji
- Department of Hematology, Osaka International Cancer Institute, Osaka, 5418567, Japan
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Grambow-Velilla J, Seban RD, Chouahnia K, Assié JB, Champion L, Girard N, Bonardel G, Matton L, Soussan M, Chouaïd C, Duchemann B. Total Metabolic Tumor Volume on 18F-FDG PET/CT Is a Useful Prognostic Biomarker for Patients with Extensive Small-Cell Lung Cancer Undergoing First-Line Chemo-Immunotherapy. Cancers (Basel) 2023; 15:cancers15082223. [PMID: 37190152 DOI: 10.3390/cancers15082223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/25/2023] [Accepted: 04/06/2023] [Indexed: 05/17/2023] Open
Abstract
Background: We aimed to evaluate the prognostic value of imaging biomarkers on 18F-FDG PET/CT in extensive-stage small-cell lung cancer (ES-SCLC) patients undergoing first-line chemo-immunotherapy. Methods: In this multicenter and retrospective study, we considered two cohorts, depending on the type of first-line therapy: chemo-immunotherapy (CIT) versus chemotherapy alone (CT). All patients underwent baseline 18-FDG PET/CT before therapy between June 2016 and September 2021. We evaluated clinical, biological, and PET parameters, and used cutoffs from previously published studies or predictiveness curves to assess the association with progression-free survival (PFS) or overall survival (OS) with Cox prediction models. Results: Sixty-eight patients were included (CIT: CT) (36: 32 patients). The median PFS was 5.9:6.5 months, while the median OS was 12.1:9.8 months. dNLR (the derived neutrophils/(leucocytes-neutrophils) ratio) was an independent predictor of short PFS and OS in the two cohorts (p < 0.05). High total metabolic tumor volume (TMTVhigh if > 241 cm3) correlated with outcomes, but only in the CIT cohort (PFS for TMTVhigh in multivariable analysis: HR 2.5; 95%CI 1.1-5.9). Conclusion: Baseline 18F-FDG PET/CT using TMTV could help to predict worse outcomes for ES-SCLC patients undergoing first-line CIT. This suggests that baseline TMTV may be used to identify patients that are unlikely to benefit from CIT.
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Affiliation(s)
- Julia Grambow-Velilla
- Department of Nuclear Medicine, AP-HP, Avicenne University Hospital, 93000 Bobigny, France
- Department of Nuclear Medicine, AP-HP, European Hospital Georges-Pompidou, University of Paris, 75015 Paris, France
| | - Romain-David Seban
- Department of Nuclear Medicine, Institut Curie, 92210 Saint-Cloud, France
- Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm, Institut Curie, 91401 Orsay, France
| | - Kader Chouahnia
- Department of Medical Thoracic and Medical Oncology, AP-HP, Avicenne University Hospital, 93000 Bobigny, France
| | | | - Laurence Champion
- Department of Nuclear Medicine, Institut Curie, 92210 Saint-Cloud, France
- Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm, Institut Curie, 91401 Orsay, France
| | - Nicolas Girard
- Institut du Thorax Curie Montsouris, Institut Curie, 75005 Paris, France
- Paris Saclay, UVSQ, UFR Simone Veil, 78180 Versailles, France
| | - Gerald Bonardel
- Nuclear Medicine, Centre Cardiologique du Nord, 93200 Saint-Denis, France
| | - Lise Matton
- Department of Medical Thoracic and Medical Oncology, AP-HP, Avicenne University Hospital, 93000 Bobigny, France
| | - Michael Soussan
- Department of Nuclear Medicine, AP-HP, Avicenne University Hospital, 93000 Bobigny, France
| | - Christos Chouaïd
- Department of Pneumology, Centre Hospitalier Inter-Communal de Créteil, Paris-Est University, 94010 Créteil, France
| | - Boris Duchemann
- Department of Medical Thoracic and Medical Oncology, AP-HP, Avicenne University Hospital, 93000 Bobigny, France
- Inserm UMR 1272 "Hypoxie et Poumon", UFR SMBH Léonard de Vinci, Université Sorbonne Paris Nord, 93000 Bobigny, France
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12
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Zhang L, Xu C, Zhang X, Wang J, Jiang H, Chen J, Zhang H. A novel analytical approach for outcome prediction in newly diagnosed NSCLC based on [ 18F]FDG PET/CT metabolic parameters, inflammatory markers, and clinical variables. Eur Radiol 2023; 33:1757-1768. [PMID: 36222865 DOI: 10.1007/s00330-022-09150-2] [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: 05/07/2022] [Revised: 08/24/2022] [Accepted: 09/06/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To develop a novel analytical approach based on 18F-fluorodeoxyglucose ([18F]FDG) positron emission tomography (PET) metabolic parameters, serum inflammatory markers, and clinical variables to improve the outcome prediction in NSCLC. METHODS A total of 190 newly diagnosed NSCLC patients who underwent pretreatment [18F]FDG PET/CT were retrospectively enrolled and divided into a training cohort (n = 127) and a test cohort (n = 63). Cox regression analysis was used to investigate the predictive values of PET metabolic parameters, inflammation markers, and clinical variables for progression-free survival (PFS) and overall survival (OS). Based on the results of multivariate analysis, PET-based, clinical, and combined models were constructed. The predictive performance of different models was evaluated using time-dependent ROC curve analysis, Harrell concordance index (C-index), calibration curve, and decision curve analysis. RESULTS The combined models incorporating SULmax, MTV, NLR, and ECOG PS demonstrated significant prognostic superiority over PET-based models, clinical models, and TNM stage in terms of both PFS (C-index: 0.813 vs. 0.786 vs. 0.776 vs. 0.678, respectively) and OS (C-index: 0.856 vs. 0.792 vs. 0.781 vs. 0.674, respectively) in the training cohort. Similar results were observed in the test cohort for PFS (C-index: 0.808 vs. 0.764 vs. 0.748 vs. 0.679, respectively) and OS (C-index: 0.836 vs. 0.785 vs. 0.726 vs. 0.660, respectively) prediction. The combined model calibrated well in two cohorts. Decision curve analysis supported the clinical utility of the combined model. CONCLUSIONS We reported a novel analytical approach combining PET metabolic information with inflammatory biomarker and clinical characteristics, which could significantly improve outcome prediction in newly diagnosed NSCLC. KEY POINTS • The nomogram incorporating SULmax, MTV, NLR, and ECOG PS outperformed the TNM stage for outcome prediction in patients with newly diagnosed NSCLC. • The established nomogram could provide refined prognostic stratification.
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Affiliation(s)
- Lixia Zhang
- Department of Nuclear Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, 310006, Zhejiang, China
| | - Caiyun Xu
- Department of Nuclear Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, 310006, Zhejiang, China
| | - Xiaohui Zhang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China. .,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009, Zhejiang, China. .,Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, Zhejiang, China.
| | - Jing Wang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China. .,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009, Zhejiang, China. .,Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, Zhejiang, China.
| | - Han Jiang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009, Zhejiang, China.,Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, Zhejiang, China
| | - Jinyan Chen
- Department of Nuclear Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, 310006, Zhejiang, China
| | - Hong Zhang
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China. .,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, 310009, Zhejiang, China. .,Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, 310009, Zhejiang, China.
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13
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Zheng LP, Yang J, Chen XW, Li LC, Sun JG. Correlation of preclinical and clinical biomarkers with efficacy and toxicity of cancer immunotherapy. Ther Adv Med Oncol 2023; 15:17588359231163807. [PMID: 37113734 PMCID: PMC10126660 DOI: 10.1177/17588359231163807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 02/27/2023] [Indexed: 04/29/2023] Open
Abstract
Immune checkpoint inhibitors (ICIs) have revealed significant clinical values in different solid tumors and hematological malignancy, changing the landscape for the treatment of multiple types of cancer. However, only a subpopulation of patients has obvious tumor response and long-term survival after ICIs treatment, and many patients may experience other undesirable clinical features. Therefore, biomarkers are critical for patients to choose exact optimum therapy. Here, we reviewed existing preclinical and clinical biomarkers of immunotherapeutic efficacy and immune-related adverse events (irAEs). Based on efficacy prediction, pseudoprogression, hyperprogressive disease, or irAEs, these biomarkers were divided into cancer cell-derived biomarkers, tumor microenvironment-derived biomarkers, host-derived biomarkers, peripheral blood biomarkers, and multi-modal model and artificial intelligence assessment-based biomarkers. Furthermore, we describe the relation between ICIs efficacy and irAEs. This review provides the overall perspective of biomarkers of immunotherapeutic outcome and irAEs prediction during ICIs treatment.
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Affiliation(s)
| | | | - Xie-Wan Chen
- Department of Basic Medicine, Army Medical University, Chongqing, China
| | - Ling-Chen Li
- Cancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China
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14
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Kanjanapan Y, Guduguntla G, Varikara AK, Szajer J, Yip D, Cockburn J, Fadia M. Hyperprogressive Disease (HPD) in Solid Tumours Receiving Immune Checkpoint Inhibitors in a Real-World Setting. Technol Cancer Res Treat 2023; 22:15330338231209129. [PMID: 37885403 PMCID: PMC10612441 DOI: 10.1177/15330338231209129] [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: 06/15/2023] [Revised: 09/15/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023] Open
Abstract
Introduction: Hyperprogressive disease (HPD) is a state of accelerated tumor growth from cancer immunotherapy, associated with poor outcome. The reported incidence is 6% to 29% among studies using varying definitions of HPD, with no predictive biomarkers. Tumor infiltrating lymphocytes (TILs) are prognostic and predictive for immunotherapy benefit in various tumor types, but have only been tested for correlation with HPD in one study. Objectives: The objective of the study was to determine the prevalence of HPD in solid tumor patients treated with immune checkpoint inhibitor therapy in a real-world setting, and to assess clinicopathological features as potential biomarkers for HPD. Methods: We conducted a retrospective analysis of solid tumor patients treated with immune checkpoint inhibitors at a single institution. Imaging pre-immunotherapy and postimmunotherapy were assessed for HPD, and correlated against clinicopathological factors, including TILs and programmed death-ligand 1 (PD-L1) status through archival tumor assessment. HPD was defined per Matos et al as response evaluation criteria in solid tumors (RECIST) progressive disease, minimum increase in measurable lesions of 10 mm, plus increase of ≥40% in sum of target lesions compared with baseline and/or increase of ≥20% in sum of target lesions compared with baseline plus new lesions in at least 2 different organs. Results: HPD occurred in 11 of 87 patients (13%), and associated with inferior overall survival (median 5.5 months vs 18.3 months, P = .002). However, on multivariate analysis, only liver metastases (hazard ratio [HR] 4.66, 95% confidence interval [CI] 2.27-9.56, P < .001) and PD-L1 status (HR 0.53, 95% CI 0.30-0.95, P = .03) were significantly associated with survival. Presence of liver metastases correlated with occurence of HPD (P = .01). Age, sex, and monotherapy versus combination immunotherapy were not predictive for HPD. PD-L1 status and TILs were not associated with HPD. Conclusions: We found 13% HPD among solid tumor patients treated with immunotherapy, consistent with the range reported in prior series. Assessment for HPD is feasible outside of a clinical trials setting, using modified criteria that require comparison of 2 imaging studies. Liver metastases were associated with risk of HPD, while TILs and PD-L1 status were not predictive for HPD.
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Affiliation(s)
- Yada Kanjanapan
- Department of Medical Oncology, The Canberra Hospital, Canberra, Australia
- ANU Medical School, Australian National University, Canberra, Australia
| | - Geetha Guduguntla
- Department of Medical Imaging, The Canberra Hospital, Canberra, Australia
| | | | - Jeremy Szajer
- Department of Medical Imaging, The Canberra Hospital, Canberra, Australia
| | - Desmond Yip
- Department of Medical Oncology, The Canberra Hospital, Canberra, Australia
- ANU Medical School, Australian National University, Canberra, Australia
| | - John Cockburn
- ANU Medical School, Australian National University, Canberra, Australia
- Department of Medical Imaging, The Canberra Hospital, Canberra, Australia
| | - Mitali Fadia
- ANU Medical School, Australian National University, Canberra, Australia
- Department of Pathology, The Canberra Hospital, Canberra, Australia
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15
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Berz AM, Dromain C, Vietti-Violi N, Boughdad S, Duran R. Tumor response assessment on imaging following immunotherapy. Front Oncol 2022; 12:982983. [PMID: 36387133 PMCID: PMC9641095 DOI: 10.3389/fonc.2022.982983] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/04/2022] [Indexed: 11/13/2022] Open
Abstract
In recent years, various systemic immunotherapies have been developed for cancer treatment, such as monoclonal antibodies (mABs) directed against immune checkpoints (immune checkpoint inhibitors, ICIs), oncolytic viruses, cytokines, cancer vaccines, and adoptive cell transfer. While being estimated to be eligible in 38.5% of patients with metastatic solid or hematological tumors, ICIs, in particular, demonstrate durable disease control across many oncologic diseases (e.g., in melanoma, lung, bladder, renal, head, and neck cancers) and overall survival benefits. Due to their unique mechanisms of action based on T-cell activation, response to immunotherapies is characterized by different patterns, such as progression prior to treatment response (pseudoprogression), hyperprogression, and dissociated responses following treatment. Because these features are not encountered in the Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1), which is the standard for response assessment in oncology, new criteria were defined for immunotherapies. The most important changes in these new morphologic criteria are, firstly, the requirement for confirmatory imaging examinations in case of progression, and secondly, the appearance of new lesions is not necessarily considered a progressive disease. Until today, five morphologic (immune-related response criteria (irRC), immune-related RECIST (irRECIST), immune RECIST (iRECIST), immune-modified RECIST (imRECIST), and intra-tumoral RECIST (itRECIST)) criteria have been developed to accurately assess changes in target lesion sizes, taking into account the specific response patterns after immunotherapy. In addition to morphologic response criteria, 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG-PET/CT) is a promising option for metabolic response assessment and four metabolic criteria are used (PET/CT Criteria for Early Prediction of Response to Immune Checkpoint Inhibitor Therapy (PECRIT), PET Response Evaluation Criteria for Immunotherapy (PERCIMT), immunotherapy-modified PET Response Criteria in Solid Tumors (imPERCIST5), and immune PERCIST (iPERCIST)). Besides, there is evidence that parameters on 18F-FDG-PET/CT, such as the standardized uptake value (SUV)max and several radiotracers, e.g., directed against PD-L1, may be potential imaging biomarkers of response. Moreover, the emerge of human intratumoral immunotherapy (HIT-IT), characterized by the direct injection of immunostimulatory agents into a tumor lesion, has given new importance to imaging assessment. This article reviews the specific imaging patterns of tumor response and progression and available imaging response criteria following immunotherapy.
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Affiliation(s)
- Antonia M. Berz
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
- Department of Radiology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Clarisse Dromain
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Naïk Vietti-Violi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Sarah Boughdad
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland
| | - Rafael Duran
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
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16
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Gao Y, Wu C, Chen X, Ma L, Zhang X, Chen J, Liao X, Liu M. PET/CT molecular imaging in the era of immune-checkpoint inhibitors therapy. Front Immunol 2022; 13:1049043. [PMID: 36341331 PMCID: PMC9630646 DOI: 10.3389/fimmu.2022.1049043] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/10/2022] [Indexed: 04/24/2024] Open
Abstract
Cancer immunotherapy, especially immune-checkpoint inhibitors (ICIs), has paved a new way for the treatment of many types of malignancies, particularly advanced-stage cancers. Accumulating evidence suggests that as a molecular imaging modality, positron emission tomography/computed tomography (PET/CT) can play a vital role in the management of ICIs therapy by using different molecular probes and metabolic parameters. In this review, we will provide a comprehensive overview of the clinical data to support the importance of 18F-fluorodeoxyglucose PET/CT (18F-FDG PET/CT) imaging in the treatment of ICIs, including the evaluation of the tumor microenvironment, discovery of immune-related adverse events, evaluation of therapeutic efficacy, and prediction of therapeutic prognosis. We also discuss perspectives on the development direction of 18F-FDG PET/CT imaging, with a particular emphasis on possible challenges in the future. In addition, we summarize the researches on novel PET molecular probes that are expected to potentially promote the precise application of ICIs.
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17
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Kwon HR, Cho J, Park S, Lee SH, Ahn MJ, Choi JY, Lee KH, Jung HA, Moon SH. Metabolic parameters on baseline 18F-FDG PET/CT are potential predictive biomarkers for immunotherapy in patients with head and neck squamous cell carcinoma. Front Med (Lausanne) 2022; 9:896494. [PMID: 36226146 PMCID: PMC9548588 DOI: 10.3389/fmed.2022.896494] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 08/26/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeWe evaluated baseline 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) metabolic parameters for predicting prognosis in patients with head and neck squamous cell carcinoma (HNSCC) who were receiving immune checkpoint inhibitors (ICIs). In addition, we also investigated the relationships between immunohistochemical (IHC) biomarkers and metabolic parameters.Materials and methodsA total of 39 patients with HNSCC who underwent 18F-FDG PET/CT prior to ICI therapy between November 2015 and December 2020 were enrolled. PET parameters of tumor lesions included standardized uptake values, metabolic tumor volume (MTV), total lesion glycolysis (TLG), and spleen-to-liver ratio (SLR). Clinical variables, IHC markers, and derived neutrophil-to-lymphocyte ratio (dNLR) were also obtained. Analysis was performed using Cox proportional hazard model, Kaplan-Meier method with log-rank test, and Spearman's correlation.ResultsTotal MTV (TMTV), total TLG (TTLG), and a combined parameter consisting of TMTV and dNLR were significant predictors for progression-free survival (PFS) in univariable analysis (TMTV, p = 0.018; TTLG, p = 0.027; combined parameter, p = 0.021). Above all, the combined parameter was an independent prognostic factor for PFS in multivariable analysis. The group with low TMTV and low dNLR had longer PFS than the group with high TMTV and high dNLR (p = 0.036). SLR was the only significant predictor for overall survival (p = 0.019). Additionally, there was a negative correlation between programmed cell death-ligand 1 expression (one of the IHC markers) and MTV in subgroup analysis.ConclusionPET parameters on baseline 18F-FDG PET/CT were predictive biomarkers for prognosis in patients with HNSCC undergoing ICI therapy. With dNLR, more accurate prognostic prediction could be possible.
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Affiliation(s)
- Hye Ryeong Kwon
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Nuclear Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang-si, South Korea
| | - Junhun Cho
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sehhoon Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Se-Hoon Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Myung-Ju Ahn
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Joon Young Choi
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kyung-Han Lee
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyun Ae Jung
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- *Correspondence: Hyun Ae Jung
| | - Seung Hwan Moon
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Seung Hwan Moon
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18
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Zhao Z, Bian J, Zhang J, Zhang T, Lu X. Hyperprogressive disease in patients suffering from solid malignancies treated by immune checkpoint inhibitors: A systematic review and meta-analysis. Front Oncol 2022; 12:843707. [PMID: 35992878 PMCID: PMC9381837 DOI: 10.3389/fonc.2022.843707] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 06/06/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Hyperprogressive disease (HPD) is a paradoxically rapid disease progression during or shortly after antitumor treatment, especially immune checkpoint inhibitors (ICIs). Various diagnosis criteria of HPD cause heterogeneous incidence rates in different clinical research, and there is no consensus on potential risk factors associated with HPD occurrence. Hence, we aimed to summarize incidence of HPD in ICI treatment for solid tumors. Clinicopathological factors associated with HPD are also analyzed. Methods Clinical studies about HPD during/after ICI treatment of solid malignancies are included. Pubmed, Embase, and Cochrane library were searched for eligible studies published before October 7. The Newcastle–Ottawa scale was used to assess the quality of the included studies. Random effect and fixed effect models were, respectively, used for pooling incidence of HPD and analysis of risk factors for HPD. Heterogeneity, subgroup analysis, and publication bias were also analyzed. All meta-analysis was performed via R software (y -40v4.0.2). Results Forty-one studies with 6009 patients were included. The pooled incidence of HPD was 13.2% (95% CI, 11.2%–15.4%). Head and neck cancer (HNC) had the highest incidence of HPD (18.06%), and melanoma had the lowest (9.9%). Tumor types (P = .0248) and gender ratio (P = .0116) are sources of heterogeneity of pooled incidence of HPD. For five clinicopathological factors associated with HPD, only programmed cell death protein 1 ligand 1 (PD-L1) positivity was a preventive factor (odds ratio = 0.61, P <.05). High lactate dehydrogenase (LDH) level (OR = 1.51, P = .01), metastatic sites >2 (OR = 2.38, P <.0001), Eastern Cooperative Oncology Group Performance Score ≥2 (OR = 1.47, P = .02), and liver metastasis (OR = 3.06, P <.0001) indicate higher risk of HPD. Conclusions The pooled incidence of HPD was less than 15%, and HNC had the highest incidence of HPD. LDH and PD-L1 are remarkable biomarkers for prediction of HPD in future medical practice.
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Affiliation(s)
| | | | | | | | - Xin Lu
- *Correspondence: Xin Lu, ;
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19
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Hughes DJ, Subesinghe M, Taylor B, Bille A, Spicer J, Papa S, Goh V, Cook GJR. 18F FDG PET/CT and Novel Molecular Imaging for Directing Immunotherapy in Cancer. Radiology 2022; 304:246-264. [PMID: 35762888 DOI: 10.1148/radiol.212481] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Immunotherapy has transformed the treatment landscape of many cancers, with durable responses in disease previously associated with a poor prognosis. Patient selection remains a challenge, with predictive biomarkers an urgent unmet clinical need. Current predictive biomarkers, including programmed death-ligand 1 (PD-L1) (measured with immunohistochemistry), are imperfect. Promising biomarkers, including tumor mutation burden and tumor infiltrating lymphocyte density, fail to consistently predict response and have yet to translate to routine clinical practice. Heterogeneity of immune response within and between lesions presents a further challenge where fluorine 18 fluorodeoxyglucose PET/CT has a potential role in assessing response, stratifying treatment, and detecting and monitoring immune-related toxicities. Novel radiopharmaceuticals also present a unique opportunity to define the immune tumor microenvironment to better predict which patients may respond to therapy, for example by means of in vivo whole-body PD-L1 and CD8+ T cell expression imaging. In addition, longitudinal molecular imaging may help further define dynamic changes, particularly in cases of immunotherapy resistance, helping to direct a more personalized therapeutic approach. This review highlights current and emerging applications of molecular imaging to stratify, predict, and monitor molecular dynamics and treatment response in areas of clinical need.
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Affiliation(s)
- Daniel J Hughes
- From the Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, 4th Floor, Lambeth Wing, London SE1 7EH, UK (D.J.H., M.S., V.G., G.J.R.C.); King's College London and Guy's and St Thomas' PET Centre, London, UK (D.J.H., M.S., G.J.R.C.); Comprehensive Cancer Centre (B.T., A.B.), Department of Thoracic Surgery (A.B.), and Department of Radiology (V.G.), Guy's and St Thomas' NHS Foundation Trust, London, UK; and School of Cancer and Pharmaceutical Sciences, King's College London, London, UK (J.S., S.P.)
| | - Manil Subesinghe
- From the Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, 4th Floor, Lambeth Wing, London SE1 7EH, UK (D.J.H., M.S., V.G., G.J.R.C.); King's College London and Guy's and St Thomas' PET Centre, London, UK (D.J.H., M.S., G.J.R.C.); Comprehensive Cancer Centre (B.T., A.B.), Department of Thoracic Surgery (A.B.), and Department of Radiology (V.G.), Guy's and St Thomas' NHS Foundation Trust, London, UK; and School of Cancer and Pharmaceutical Sciences, King's College London, London, UK (J.S., S.P.)
| | - Benjamin Taylor
- From the Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, 4th Floor, Lambeth Wing, London SE1 7EH, UK (D.J.H., M.S., V.G., G.J.R.C.); King's College London and Guy's and St Thomas' PET Centre, London, UK (D.J.H., M.S., G.J.R.C.); Comprehensive Cancer Centre (B.T., A.B.), Department of Thoracic Surgery (A.B.), and Department of Radiology (V.G.), Guy's and St Thomas' NHS Foundation Trust, London, UK; and School of Cancer and Pharmaceutical Sciences, King's College London, London, UK (J.S., S.P.)
| | - Andrea Bille
- From the Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, 4th Floor, Lambeth Wing, London SE1 7EH, UK (D.J.H., M.S., V.G., G.J.R.C.); King's College London and Guy's and St Thomas' PET Centre, London, UK (D.J.H., M.S., G.J.R.C.); Comprehensive Cancer Centre (B.T., A.B.), Department of Thoracic Surgery (A.B.), and Department of Radiology (V.G.), Guy's and St Thomas' NHS Foundation Trust, London, UK; and School of Cancer and Pharmaceutical Sciences, King's College London, London, UK (J.S., S.P.)
| | - James Spicer
- From the Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, 4th Floor, Lambeth Wing, London SE1 7EH, UK (D.J.H., M.S., V.G., G.J.R.C.); King's College London and Guy's and St Thomas' PET Centre, London, UK (D.J.H., M.S., G.J.R.C.); Comprehensive Cancer Centre (B.T., A.B.), Department of Thoracic Surgery (A.B.), and Department of Radiology (V.G.), Guy's and St Thomas' NHS Foundation Trust, London, UK; and School of Cancer and Pharmaceutical Sciences, King's College London, London, UK (J.S., S.P.)
| | - Sophie Papa
- From the Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, 4th Floor, Lambeth Wing, London SE1 7EH, UK (D.J.H., M.S., V.G., G.J.R.C.); King's College London and Guy's and St Thomas' PET Centre, London, UK (D.J.H., M.S., G.J.R.C.); Comprehensive Cancer Centre (B.T., A.B.), Department of Thoracic Surgery (A.B.), and Department of Radiology (V.G.), Guy's and St Thomas' NHS Foundation Trust, London, UK; and School of Cancer and Pharmaceutical Sciences, King's College London, London, UK (J.S., S.P.)
| | - Vicky Goh
- From the Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, 4th Floor, Lambeth Wing, London SE1 7EH, UK (D.J.H., M.S., V.G., G.J.R.C.); King's College London and Guy's and St Thomas' PET Centre, London, UK (D.J.H., M.S., G.J.R.C.); Comprehensive Cancer Centre (B.T., A.B.), Department of Thoracic Surgery (A.B.), and Department of Radiology (V.G.), Guy's and St Thomas' NHS Foundation Trust, London, UK; and School of Cancer and Pharmaceutical Sciences, King's College London, London, UK (J.S., S.P.)
| | - Gary J R Cook
- From the Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, 4th Floor, Lambeth Wing, London SE1 7EH, UK (D.J.H., M.S., V.G., G.J.R.C.); King's College London and Guy's and St Thomas' PET Centre, London, UK (D.J.H., M.S., G.J.R.C.); Comprehensive Cancer Centre (B.T., A.B.), Department of Thoracic Surgery (A.B.), and Department of Radiology (V.G.), Guy's and St Thomas' NHS Foundation Trust, London, UK; and School of Cancer and Pharmaceutical Sciences, King's College London, London, UK (J.S., S.P.)
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20
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Takeuchi E, Kondo K, Okano Y, Kunishige M, Kondo Y, Kadota N, Machida H, Hatakeyama N, Naruse K, Ogino H, Nokihara H, Shinohara T, Nishioka Y. Early mortality factors in immune checkpoint inhibitor monotherapy for advanced or metastatic non-small cell lung cancer. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04215-7. [DOI: 10.1007/s00432-022-04215-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/15/2022] [Indexed: 11/24/2022]
Abstract
Abstract
Purpose
Immune checkpoint inhibitors (ICI) are a promising treatment, but may cause hyperprogressive disease and early death. The present study investigated early mortality factors in ICI monotherapy for lung cancer.
Patients and methods
We retrospectively reviewed all patients diagnosed with advanced or metastatic non-small cell lung cancer (NSCLC) and treated with ICI monotherapy (nivolumab, pembrolizumab, and atezolizumab) between March 2016 and August 2021 at National Hospital Organization Kochi Hospital and Tokushima University. Early death was defined as patients who died within 60 days of ICI treatment.
Results
A total of 166 patients were included. The majority of patients (87%) had an Eastern cooperative oncology group (ECOG) Performance status (PS) of 0/1. There were 21 early deaths. Significant differences were observed in ECOG PS, the histological type, liver metastasis, tumor size, the white blood cell count, neutrophils (%), lymphocytes (%), the neutrophil-to-lymphocyte ratio in serum (sNLR), C-reactive protein (CRP), and albumin between the groups with or without early death. Univariate logistic regression analyses identified ECOG PS score ≥ 2, liver metastasis, tumor size ≥ 5 cm, neutrophils ≥ 69%, lymphocytes < 22%, sNLR ≥ 4, CRP ≥ 1 mg/dl, and albumin < 3.58 g/dl as significant risk factors for early death. A multivariate logistic regression analysis revealed that liver metastasis (Odds ratio [OR], 10.3; p = 0.008), ECOG PS score ≥ 2 (OR, 8.0; p = 0.007), and a smoking history (OR, 0.1; p = 0.03) were significant risk factors for early death.
Conclusion
Liver metastases, ECOG PS score ≥ 2, and a non-smoking history are early mortality factors in ICI monotherapy for advanced or metastatic NSCLC.
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21
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Annovazzi A, Ferraresi V, De Rimini ML, Sciuto R. 18F-FDG PET/CT in the clinical-diagnostic workup of patients treated with immunotherapy: when and how? Clin Transl Imaging 2022. [DOI: 10.1007/s40336-022-00514-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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22
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The oligometastatic spectrum in the era of improved detection and modern systemic therapy. Nat Rev Clin Oncol 2022; 19:585-599. [PMID: 35831494 DOI: 10.1038/s41571-022-00655-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/01/2022] [Indexed: 12/11/2022]
Abstract
Metastases remain the leading cause of cancer-related mortality. The oligometastasis hypothesis postulates that a spectrum of metastatic spread exists and that some patients with a limited burden of metastases can be cured with ablative therapy. Over the past decade, substantial advances in systemic therapies have resulted in considerable improvements in the outcomes of patients with metastatic cancers, warranting re-examination of the oligometastatic paradigm and the role of local ablative therapies within the context of the improved therapeutic responses, shifting patterns of disease recurrence and possible synergy with systemic treatments. Herein, we reframe the oligometastatic phenotype as a dynamic state for which locally ablative, metastasis-directed therapy improves clinical outcomes, including by prolonging survival and increasing cure rates. Important risk factors defining the metastatic spectrum are highlighted that inform both staging and therapy. Finally, we synthesize the literature on combining local therapies with modern systemic treatments, identifying general themes to optimally integrate ablative therapies in this context.
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23
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Lopci E, Hicks RJ, Dimitrakopoulou-Strauss A, Dercle L, Iravani A, Seban RD, Sachpekidis C, Humbert O, Gheysens O, Glaudemans AWJM, Weber W, Wahl RL, Scott AM, Pandit-Taskar N, Aide N. Joint EANM/SNMMI/ANZSNM practice guidelines/procedure standards on recommended use of [ 18F]FDG PET/CT imaging during immunomodulatory treatments in patients with solid tumors version 1.0. Eur J Nucl Med Mol Imaging 2022; 49:2323-2341. [PMID: 35376991 PMCID: PMC9165250 DOI: 10.1007/s00259-022-05780-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/22/2022] [Indexed: 12/13/2022]
Abstract
PURPOSE The goal of this guideline/procedure standard is to assist nuclear medicine physicians, other nuclear medicine professionals, oncologists or other medical specialists for recommended use of [18F]FDG PET/CT in oncological patients undergoing immunotherapy, with special focus on response assessment in solid tumors. METHODS In a cooperative effort between the EANM, the SNMMI and the ANZSNM, clinical indications, recommended imaging procedures and reporting standards have been agreed upon and summarized in this joint guideline/procedure standard. CONCLUSIONS The field of immuno-oncology is rapidly evolving, and this guideline/procedure standard should not be seen as definitive, but rather as a guidance document standardizing the use and interpretation of [18F]FDG PET/CT during immunotherapy. Local variations to this guideline should be taken into consideration. PREAMBLE The European Association of Nuclear Medicine (EANM) is a professional non-profit medical association founded in 1985 to facilitate worldwide communication among individuals pursuing clinical and academic excellence in nuclear medicine. The Society of Nuclear Medicine and Molecular Imaging (SNMMI) is an international scientific and professional organization founded in 1954 to promote science, technology and practical application of nuclear medicine. The Australian and New Zealand Society of Nuclear Medicine (ANZSNM), founded in 1969, represents the major professional society fostering the technical and professional development of nuclear medicine practice across Australia and New Zealand. It promotes excellence in the nuclear medicine profession through education, research and a commitment to the highest professional standards. EANM, SNMMI and ANZSNM members are physicians, technologists, physicists and scientists specialized in the research and clinical practice of nuclear medicine. All three societies will periodically put forth new standards/guidelines for nuclear medicine practice to help advance the science of nuclear medicine and improve service to patients. Existing standards/guidelines will be reviewed for revision or renewal, as appropriate, on their fifth anniversary or sooner, if indicated. Each standard/guideline, representing a policy statement by the EANM/SNMMI/ANZSNM, has undergone a thorough consensus process, entailing extensive review. These societies recognize that the safe and effective use of diagnostic nuclear medicine imaging requires particular training and skills, as described in each document. These standards/guidelines are educational tools designed to assist practitioners in providing appropriate and effective nuclear medicine care for patients. These guidelines are consensus documents based on current knowledge. They are not intended to be inflexible rules or requirements of practice, nor should they be used to establish a legal standard of care. For these reasons and those set forth below, the EANM, SNMMI and ANZSNM caution against the use of these standards/guidelines in litigation in which the clinical decisions of a practitioner are called into question. The ultimate judgment regarding the propriety of any specific procedure or course of action must be made by medical professionals considering the unique circumstances of each case. Thus, there is no implication that an action differing from what is laid out in the guidelines/procedure standards, standing alone, is below standard of care. To the contrary, a conscientious practitioner may responsibly adopt a course of action different from that set forth in the standards/guidelines when, in the reasonable judgment of the practitioner, such course of action is indicated by the condition of the patient, limitations of available resources or advances in knowledge or technology subsequent to publication of the guidelines/procedure standards. The practice of medicine involves not only the science, but also the art of dealing with the prevention, diagnosis, alleviation and treatment of disease. The variety and complexity of human conditions make it impossible for general guidelines to consistently allow for an accurate diagnosis to be reached or a particular treatment response to be predicted. Therefore, it should be recognized that adherence to these standards/ guidelines will not ensure a successful outcome. All that should be expected is that practitioners follow a reasonable course of action, based on their level of training, current knowledge, clinical practice guidelines, available resources and the needs/context of the patient being treated. The sole purpose of these guidelines is to assist practitioners in achieving this objective. The present guideline/procedure standard was developed collaboratively by the EANM, the SNMMI and the ANZSNM, with the support of international experts in the field. They summarize also the views of the Oncology and Theranostics and the Inflammation and Infection Committees of the EANM, as well as the procedure standards committee of the SNMMI, and reflect recommendations for which the EANM and SNMMI cannot be held responsible. The recommendations should be taken into the context of good practice of nuclear medicine and do not substitute for national and international legal or regulatory provisions.
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Affiliation(s)
- E Lopci
- Nuclear Medicine Unit, IRCCS - Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milano, Italy.
| | - R J Hicks
- The Department of Medicine, St Vincent's Medical School, the University of Melbourne, Melbourne, Australia
| | - A Dimitrakopoulou-Strauss
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - L Dercle
- Department of Radiology, New York Presbyterian, Columbia University Irving Medical Center, New York, NY, USA
| | - A Iravani
- Department of Molecular Imaging and Therapeutic Nuclear Medicine, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - R D Seban
- Department of Nuclear Medicine and Endocrine Oncology, Institut Curie, 92210, Saint-Cloud, France
- Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm, Institut Curie, 91401, Orsay, France
| | - C Sachpekidis
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - O Humbert
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur, Nice, France
- TIRO-UMR E 4320, Université Côte d'Azur, Nice, France
| | - O Gheysens
- Department of Nuclear Medicine, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain (UCLouvain), Brussels, Belgium
| | - A W J M Glaudemans
- Nuclear Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - W Weber
- Department of Nuclear Medicine, Klinikum Rechts Der Isar, Technical University Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - R L Wahl
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - A M Scott
- Department of Molecular Imaging and Therapy, Austin Health, Studley Rd, Heidelberg, Victoria, 3084, Australia
- Olivia Newton-John Cancer Research Institute, Heidelberg, Australia
- Faculty of Medicine, University of Melbourne, Melbourne, Australia
- School of Cancer Medicine, La Trobe University, Melbourne, Australia
| | - N Pandit-Taskar
- Nuclear Medicine Service, Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave., New York, NY, 10021, USA
| | - N Aide
- Nuclear Medicine Department, University Hospital, Caen, France
- INSERM ANTICIPE, Normandie University, Caen, France
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24
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Zhao LP, Hu JH, Hu D, Wang HJ, Huang CG, Luo RH, Zhou ZH, Huang XY, Xie T, Lou JS. Hyperprogression, a challenge of PD-1/PD-L1 inhibitors treatments: potential mechanisms and coping strategies. Biomed Pharmacother 2022; 150:112949. [PMID: 35447545 DOI: 10.1016/j.biopha.2022.112949] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/01/2022] [Accepted: 04/08/2022] [Indexed: 11/29/2022] Open
Abstract
Immunotherapy is now a mainstay in cancer treatments. Programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) immune checkpoint inhibitor (ICI) therapies have opened up a new venue of advanced cancer immunotherapy. However, hyperprogressive disease (HPD) induced by PD-1/PD-L1 inhibitors caused a significant decrease in the overall survival (OS) of the patients, which compromise the efficacy of PD-1/PD-L1 inhibitors. Therefore, HPD has become an urgent issue to be addressed in the clinical uses of PD-1/PD-L1 inhibitors. The mechanisms of HPD remain unclear, and possible predictive factors of HPD are not well understood. In this review, we summarized the potential mechanisms of HPD and coping strategies that can effectively reduce the occurrence and development of HPD.
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Affiliation(s)
- Li-Ping Zhao
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Jun-Hu Hu
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Die Hu
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Hao-Jie Wang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Chang-Gang Huang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Ru-Hua Luo
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Zhao-Huang Zhou
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Xin-Yun Huang
- Department of Physiology and Biophysics, Weill Cornell Medical College of Cornell University, New York, NY 10065, USA.
| | - Tian Xie
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China.
| | - Jian-Shu Lou
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Zhejiang 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China.
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25
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Wei Z, Zhang Y. Immune Cells in Hyperprogressive Disease under Immune Checkpoint-Based Immunotherapy. Cells 2022; 11:cells11111758. [PMID: 35681453 PMCID: PMC9179330 DOI: 10.3390/cells11111758] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/18/2022] [Accepted: 05/23/2022] [Indexed: 01/27/2023] Open
Abstract
Immunotherapy, an antitumor therapy designed to activate antitumor immune responses to eliminate tumor cells, has been deeply studied and widely applied in recent years. Immune checkpoint inhibitors (ICIs) are capable of preventing the immune responses from being turned off before tumor cells are eliminated. ICIs have been demonstrated to be one of the most effective and promising tumor treatments and significantly improve the survival of patients with multiple tumor types. However, low effective rates and frequent atypical responses observed in clinical practice limit their clinical applications. Hyperprogressive disease (HPD) is an unexpected phenomenon observed in immune checkpoint-based immunotherapy and is a challenge facing clinicians and patients alike. Patients who experience HPD not only cannot benefit from immunotherapy, but also experience rapid tumor progression. However, the mechanisms of HPD remain unclear and controversial. This review summarized current findings from cell experiments, animal studies, retrospective studies, and case reports, focusing on the relationships between various immune cells and HPD and providing important insights for understanding the pathogenesis of HPD.
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Affiliation(s)
- Zhanqi Wei
- School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China;
- Hepatopancreatbiliary Center, Tsinghua University Affiliated Beijing Tsinghua Changgung Hospital, Changping District, Beijing 102218, China
| | - Yuewei Zhang
- Hepatopancreatbiliary Center, Tsinghua University Affiliated Beijing Tsinghua Changgung Hospital, Changping District, Beijing 102218, China
- Correspondence:
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26
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Lopci E. Meditating on Cancer Management at the Time of Immunotherapy. J Clin Med 2022; 11:jcm11113025. [PMID: 35683412 PMCID: PMC9181255 DOI: 10.3390/jcm11113025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 12/03/2022] Open
Affiliation(s)
- Egesta Lopci
- Nuclear Medicine, IRCCS-Humanitas Research Center, Via Manzoni 56, 20089 Rozzano, MI, Italy
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27
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The Role of Radiomics in the Era of Immune Checkpoint Inhibitors: A New Protagonist in the Jungle of Response Criteria. J Clin Med 2022; 11:jcm11061740. [PMID: 35330068 PMCID: PMC8948743 DOI: 10.3390/jcm11061740] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/08/2022] [Accepted: 03/18/2022] [Indexed: 12/15/2022] Open
Abstract
Simple Summary The introduction of immune checkpoint inhibitors has represented a milestone in cancer treatment. Despite PD-L1 expression being the standard biomarker used before the start of therapy, there is still a strict need to identify complementary non-invasive biomarkers in order to better select patients. In this context, radiomics is an emerging approach for examining medical images and clinical data by capturing multiple features hidden from human eye and is potentially able to predict response assessment and survival in the course of immunotherapy. We reviewed the available studies investigating the role of radiomics in cancer patients, focusing on non-small cell lung cancer treated with immune checkpoint inhibitors. Although preliminary research shows encouraging results, different issues need to be solved before radiomics can enter into clinical practice. Abstract Immune checkpoint inhibitors (ICI) have demonstrated encouraging results in terms of durable clinical benefit and survival in several malignancies. Nevertheless, the search to identify an “ideal” biomarker for predicting response to ICI is still far from over. Radiomics is a new translational field of study aiming to extract, by dedicated software, several features from a given medical image, ranging from intensity distribution and spatial heterogeneity to higher-order statistical parameters. Based on these premises, our review aims to summarize the current status of radiomics as a potential predictor of clinical response following immunotherapy treatment. A comprehensive search of PubMed results was conducted. All studies published in English up to and including December 2021 were selected, comprising those that explored computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) for radiomic analyses in the setting of ICI. Several studies have demonstrated the potential applicability of radiomic features in the monitoring of the therapeutic response beyond the traditional morphologic and metabolic criteria, as well as in the prediction of survival or non-invasive assessment of the tumor microenvironment. Nevertheless, important limitations emerge from our review in terms of standardization in feature selection, data sharing, and methods, as well as in external validation. Additionally, there is still need for prospective clinical trials to confirm the potential significant role of radiomics during immunotherapy.
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28
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Li M, Zhong X, Du F, Wu X, Li M, Chen Y, Zhao Y, Shen J, Yang Z, Xiao Z. Current Understanding and Future Perspectives on Hyperprogressive Disease Highlight the Tumor Microenvironment. J Clin Pharmacol 2022; 62:1059-1078. [PMID: 35303368 DOI: 10.1002/jcph.2048] [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: 01/25/2022] [Accepted: 03/14/2022] [Indexed: 11/09/2022]
Abstract
Cancer immunotherapy with immune checkpoint inhibitors has revolutionized traditional cancer therapy. Although many patients have achieved long-term survival benefits from immune checkpoint inhibitors treatment, there are still some patients who develop rapid tumor progression after immunotherapy, known as hyperprogressive disease. Here we summarize current knowledge on hyperprogressive disease after immune checkpoint inhibitors treatment to promote more thorough understanding of the disease. This review focuses on multiple aspects of hyperprogressive disease, especially the tumor microenvironment, with the hope that more reliable biomarkers and therapeutics could be established for hyperprogressive disease in the future. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Meiqi Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.,Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, 646000, P.R. China.,South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, 646000, P.R. China
| | - Xianmei Zhong
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.,Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, 646000, P.R. China.,South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, 646000, P.R. China
| | - Fukuan Du
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.,Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, 646000, P.R. China.,South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, 646000, P.R. China
| | - Xu Wu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.,Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, 646000, P.R. China.,South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, 646000, P.R. China
| | - Mingxing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.,Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, 646000, P.R. China.,South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, 646000, P.R. China
| | - Yu Chen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.,Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, 646000, P.R. China.,South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, 646000, P.R. China
| | - Yueshui Zhao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.,Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, 646000, P.R. China.,South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, 646000, P.R. China
| | - Jing Shen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.,Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, 646000, P.R. China.,South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, 646000, P.R. China
| | - Zhongming Yang
- Department of Oncology and Hematology, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Zhangang Xiao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.,Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, Sichuan, 646000, P.R. China.,South Sichuan Institute of Translational Medicine, Luzhou, Sichuan, 646000, P.R. China
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Dall’Olio FG, Parisi C, Marcolin L, Brocchi S, Caramella C, Conci N, Carpani G, Gelsomino F, Ardizzoni S, Marchese PV, Paccapelo A, Grilli G, Golfieri R, Besse B, Ardizzoni A. Monitoring tumor growth rate to predict immune checkpoint inhibitors’ treatment outcome in advanced NSCLC. Ther Adv Med Oncol 2022; 14:17588359211058391. [PMID: 35173818 PMCID: PMC8842375 DOI: 10.1177/17588359211058391] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 10/20/2021] [Indexed: 11/15/2022] Open
Abstract
Introduction: Radiological response assessment to immune checkpoint inhibitor is challenging due to atypical pattern of response and commonly used RECIST 1.1 criteria do not take into account the kinetics of tumor behavior. Our study aimed at evaluating the tumor growth rate (TGR) in addition to RECIST 1.1 criteria to assess the benefit of immune checkpoint inhibitors (ICIs). Methods: Tumor real volume was calculated with a dedicated computed tomography (CT) software that semi-automatically assess tumor volume. Target lesions were identified according to RECIST 1.1. For each patient, we had 3 measurement of tumor volume. CT-1 was performed 8–12 weeks before ICI start, the CT at baseline for ICI was CT0, while CT + 1 was the first assessment after ICI. We calculated the percentage increase in tumor volume before (TGR1) and after immunotherapy (TGR2). Finally, we compared TGR1 and TGR2. If no progressive disease (PD), the group was disease control (DC). If PD but TGR2 < TGR1, it was called LvPD and if TGR2 ⩾ TGR1, HvPD. Results: A total of 61 patients who received ICIs and 33 treated with chemotherapy (ChT) were included. In ICI group, 18 patients were HvPD, 22 LvPD, 21 DC. Median OS was 4.4 months (95% CI: 2.0–6.8, reference) for HvPD, 7.1 months (95% CI 5.4–8.8) for LvPD, p = 0.018, and 20.9 months (95% CI: 12.5–29.3) for DC, p < 0.001. In ChT group, 7 were categorized as HvPD, 17 as LvPD and 9 as DC. No difference in OS was observed in the ChT group (p = 0.786) Conclusion: In the presence of PD, a decrease in TGR may result in a clinical benefit in patients treated with ICI but not with chemotherapy. Monitoring TGR changes after ICIs administration can help physician in deciding to treat beyond PD.
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Affiliation(s)
- Filippo G. Dall’Olio
- Division of Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, 40138 Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine, Policlinico di Sant’Orsola University Hospital, Bologna, Italy
- Cancer Medicine Department, Gustave Roussy, Villejuif, France
| | - Claudia Parisi
- Division of Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine, Policlinico di Sant’Orsola University Hospital, Bologna, Italy
- Cancer Medicine Department, Gustave Roussy, Villejuif, France
| | - Laura Marcolin
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Stefano Brocchi
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Caroline Caramella
- Department of Radiology, Hôpital Marie Lannelongue, Le Plessis-Robinson, France
| | - Nicole Conci
- Division of Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine, Policlinico di Sant’Orsola University Hospital, Bologna, Italy
| | - Giulia Carpani
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Francesco Gelsomino
- Division of Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Stefano Ardizzoni
- Department of Engineering and Architecture, University of Parma, Parma, Italy
| | - Paola Valeria Marchese
- Division of Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine, Policlinico di Sant’Orsola University Hospital, Bologna, Italy
| | - Alexandro Paccapelo
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giada Grilli
- Division of Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Rita Golfieri
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Benjamin Besse
- Cancer Medicine Department, Gustave Roussy, Villejuif, France
| | - Andrea Ardizzoni
- Division of Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine, Policlinico di Sant’Orsola University Hospital, Bologna, Italy
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Liao X, Liu M, Wang R, Zhang J. Potentials of Non-Invasive 18F-FDG PET/CT in Immunotherapy Prediction for Non-Small Cell Lung Cancer. Front Genet 2022; 12:810011. [PMID: 35186013 PMCID: PMC8855498 DOI: 10.3389/fgene.2021.810011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 12/31/2021] [Indexed: 12/26/2022] Open
Abstract
The immune checkpoint inhibitors (ICIs), by targeting cytotoxic-T-lymphocyte-associated protein 4, programmed cell death 1 (PD-1), or PD-ligand 1, have dramatically changed the natural history of several cancers, including non-small cell lung cancer (NSCLC). There are unusual response manifestations (such as pseudo-progression, hyper-progression, and immune-related adverse events) observed in patients with ICIs because of the unique mechanisms of these agents. These specific situations challenge response and prognostic assessment to ICIs challenging. This review demonstrates how 18F-FDG PET/CT can help identify these unusual response patterns in a non-invasive and effective way. Then, a series of semi-quantitative parameters derived from 18F-FDG PET/CT are introduced. These indexes have been recognized as the non-invasive biomarkers to predicting the efficacy of ICIs and survival of NSCLC patients according to the latest clinical studies. Moreover, the current situation regarding the functional criteria based on 18F-FDG PET/CT for immunotherapeutic response assessment is presented and analyzed. Although the criteria based on 18F-FDG PET/CT proposed some resolutions to overcome limitations of morphologic criteria in the assessment of tumor response to ICIs, further researches should be performed to validate and improve these assessing systems. Then, the last part in this review displays the present status and a perspective of novel specific PET probes targeting key molecules relevant to immunotherapy in prediction and response assessment.
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Affiliation(s)
| | | | | | - Jianhua Zhang
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, China
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31
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Kim CG, Hwang SH, Kim KH, Yoon HI, Shim HS, Lee JH, Han Y, Ahn BC, Hong MH, Kim HR, Cho BC, Cho A, Lim SM. Predicting treatment outcomes using 18F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy. Ther Adv Med Oncol 2022; 14:17588359211068732. [PMID: 35035536 PMCID: PMC8753071 DOI: 10.1177/17588359211068732] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 12/02/2021] [Indexed: 12/18/2022] Open
Abstract
Background Predictive markers for treatment response and survival outcome have not been identified in patients with advanced non-small-cell lung cancer (NSCLC) receiving chemoimmunotherapy. We aimed to evaluate whether imaging biomarkers of 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) and routinely assessed clinico-laboratory values were associated with clinical outcomes in patients with advanced NSCLC receiving pembrolizumab plus platinum-doublet chemotherapy as a first-line treatment. Methods We retrospectively enrolled 52 patients with advanced NSCLC who underwent baseline 18F-FDG PET/CT before treatment initiation. PET/CT parameters and clinico-laboratory variables, constituting the prognostic immunotherapy scoring system, were collected. Optimal cut-off values for PET/CT parameters were determined using the maximized log-rank test for progression-free survival (PFS). A multivariate prediction model was developed based on Cox models for PFS, and a scoring system was established based on hazard ratios of the predictive factors. Results During the median follow-up period of 16.7 months (95% confidence interval: 15.7-17.7 months), 43 (82.7%) and 31 (59.6%) patients experienced disease progression and death, respectively. Objective response was observed in 23 (44.2%) patients. In the multivariate analysis, maximum standardized uptake value, metabolic tumour volume2.5, total lesion glycolysis2.5, and bone marrow-to-liver uptake ratio from the PET/CT variables and neutrophil-to-lymphocyte ratio (NLR) from the clinico-laboratory variables were independently associated with PFS. The scoring system based on these independent predictive variables significantly predicted the treatment response, PFS, and overall survival. Conclusion PET/CT variables and NLR were useful biomarkers for predicting outcomes of patients with NSCLC receiving pembrolizumab and chemotherapy as a first-line treatment, suggesting their potential as effective markers for combined PD-1 blockade and chemotherapy.
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Affiliation(s)
- Chang Gon Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Centre, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Hyun Hwang
- Department of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyung Hwan Kim
- Department of Radiation Oncology, Yonsei Cancer Centre, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hong In Yoon
- Department of Radiation Oncology, Yonsei Cancer Centre, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyo Sup Shim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji Hyun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Centre, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yejeong Han
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Centre, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Beung-Chul Ahn
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Centre, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Min Hee Hong
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Centre, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hye Ryun Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Centre, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Byoung Chul Cho
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Centre, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Arthur Cho
- Department of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Sun Min Lim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Centre, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
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Bu L, Tu N, Wang K, Zhou Y, Xie X, Han X, Lin H, Feng H. Relationship between 18F-FDG PET/CT Semi-Quantitative Parameters and International Association for the Study of Lung Cancer, American Thoracic Society/European Respiratory Society Classification in Lung Adenocarcinomas. Korean J Radiol 2022; 23:112-123. [PMID: 34983098 PMCID: PMC8743143 DOI: 10.3348/kjr.2021.0455] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 08/30/2021] [Accepted: 09/26/2021] [Indexed: 12/24/2022] Open
Abstract
Objective To investigate the relationship between 18F-FDG PET/CT semi-quantitative parameters and the International Association for the Study of Lung Cancer, American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) histopathologic classification, including histological subtypes, proliferation activity, and somatic mutations. Materials and Methods This retrospective study included 419 patients (150 males, 269 females; median age, 59.0 years; age range, 23.0–84.0 years) who had undergone surgical removal of stage IA–IIIA lung adenocarcinoma and had preoperative PET/CT data of lung tumors. The maximum standardized uptake values (SUVmax), background-subtracted volume (BSV), and background-subtracted lesion activity (BSL) derived from PET/CT were measured. The IASLC/ATS/ERS subtypes, Ki67 score, and epidermal growth factor/anaplastic lymphoma kinase (EGFR/ALK) mutation status were evaluated. The PET/CT semi-quantitative parameters were compared between the tumor subtypes using the Mann–Whitney U test or the Kruskal–Wallis test. The optimum cutoff values of the PET/CT semi-quantitative parameters for distinguishing the IASLC/ATS/ERS subtypes were calculated using receiver operating characteristic curve analysis. The correlation between the PET/CT semi-quantitative parameters and pathological parameters was analyzed using Spearman’s correlation. Statistical significance was set at p < 0.05. Results SUVmax, BSV, and BSL values were significantly higher in invasive adenocarcinoma (IA) than in minimally IA (MIA), and the values were higher in MIA than in adenocarcinoma in situ (AIS) (all p < 0.05). Remarkably, an SUVmax of 0.90 and a BSL of 3.62 were shown to be the optimal cutoff values for differentiating MIA from AIS, manifesting as pure ground-glass nodules with 100% sensitivity and specificity. Metabolic-volumetric parameters (BSV and BSL) were better potential independent factors than metabolic parameters (SUVmax) in differentiating growth patterns. SUVmax and BSL, rather than BSV, were strongly or moderately correlated with Ki67 in most subtypes, except for the micropapillary and solid predominant groups. PET/CT parameters were not correlated with EGFR/ALK mutation status. Conclusion As noninvasive surrogates, preoperative PET/CT semi-quantitative parameters could imply IASLC/ATS/ERS subtypes and Ki67 index and thus may contribute to improved management of precise surgery and postoperative adjuvant therapy.
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Affiliation(s)
- Lihong Bu
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ning Tu
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ke Wang
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ying Zhou
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xinli Xie
- Department of Nuclear Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xingmin Han
- Department of Nuclear Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huiqin Lin
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Hongyan Feng
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, China.
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Guo H, Xu K, Duan G, Wen L, He Y. Progress and future prospective of FDG-PET/CT imaging combined with optimized procedures in lung cancer: toward precision medicine. Ann Nucl Med 2022; 36:1-14. [PMID: 34727331 DOI: 10.1007/s12149-021-01683-8] [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] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/30/2021] [Indexed: 12/19/2022]
Abstract
With a 5-year overall survival of approximately 20%, lung cancer has always been the number one cancer-specific killer all over the world. As a fusion of positron emission computed tomography (PET) and computed tomography (CT), PET/CT has revolutionized cancer imaging over the past 20 years. In this review, we focused on the optimization of the function of 18F-flurodeoxyglucose (FDG)-PET/CT in diagnosis, prognostic prediction and therapy management of lung cancers by computer programs. FDG-PET/CT has demonstrated a surprising role in development of therapeutic biomarkers, prediction of therapeutic responses and long-term survival, which could be conducive to solving existing dilemmas. Meanwhile, novel tracers and optimized procedures are also developed to control the quality and improve the effect of PET/CT. With the continuous development of some new imaging agents and their clinical applications, application value of PET/CT has broad prospects in this area.
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Affiliation(s)
- Haoyue Guo
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
- School of Medicine, Tongji University, No. 1239 Siping Road, Shanghai, 200092, China
| | - Kandi Xu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
- School of Medicine, Tongji University, No. 1239 Siping Road, Shanghai, 200092, China
| | - Guangxin Duan
- State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, 215123, China
| | - Ling Wen
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China.
| | - Yayi He
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China.
- School of Medicine, Tongji University, No. 1239 Siping Road, Shanghai, 200092, China.
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Lopci E, Morbelli S. Advances in Lung Cancer Imaging and Therapy. Cancers (Basel) 2021; 14:cancers14010058. [PMID: 35008219 PMCID: PMC8750401 DOI: 10.3390/cancers14010058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 11/16/2022] Open
Abstract
This series of eight papers (five original articles, two reviews and one meta-analysis) is presented by international leaders covering various aspects of lung cancer management, starting with diagnostic imaging and analyzing the novel perspectives of therapy [...]
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Affiliation(s)
- Egesta Lopci
- Nuclear Medicine, IRCCS Humanitas Research Center, Via Manzoni 56, 20089 Rozzano, Italy
- Correspondence:
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, Nuclear Medicine, Largo Rosanna Benzi 10, 16132 Genoa, Italy;
- Department of Health Sciences (DISSAL), University of Genoa, Via Antonio Pastore 1, 16132 Genoa, Italy
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First-Line Pembrolizumab Mono- or Combination Therapy of Non-Small Cell Lung Cancer: Baseline Metabolic Biomarkers Predict Outcomes. Cancers (Basel) 2021; 13:cancers13236096. [PMID: 34885206 PMCID: PMC8656760 DOI: 10.3390/cancers13236096] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 11/30/2021] [Accepted: 12/01/2021] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Positron-emission tomography/computed tomography (PET/CT) is used for staging of non-small cell lung cancer (NSCLC) and can help to estimate prognosis in patients treated with immune checkpoint inhibitor (ICI) therapy. Most available data in that field were derived from cohorts treated in higher therapy lines using ICI monotherapy with different drugs. Currently, however, most advanced NSCLC patients receive first-line ICI treatment, often in combination with cytotoxic chemotherapy. We evaluated prognostic PET/CT biomarkers in 85 patients receiving first-line ICI, 70 (82%) of them as a chemotherapy–ICI combination. We found that patients with a higher metabolically active tumor volume (MTV) had a significantly poorer survival and lower radiological response rate. In patients with high MTV, a concomitantly low bone marrow to liver ratio indicated a better prognosis. Our results demonstrate that PET/CT-derived biomarkers can aid therapeutic decision-making in ICI-treated NSCLC. Abstract Quantitative biomarkers derived from positron-emission tomography/computed tomography (PET/CT) have been suggested as prognostic variables in immune-checkpoint inhibitor (ICI) treated non-small cell lung cancer (NSCLC). As such, data for first-line ICI therapy and especially for chemotherapy–ICI combinations are still scarce, we retrospectively evaluated baseline 18F-FDG-PET/CT of 85 consecutive patients receiving first-line pembrolizumab with chemotherapy (n = 70) or as monotherapy (n = 15). Maximum and mean standardized uptake value, total metabolic tumor volume (MTV), total lesion glycolysis, bone marrow-/and spleen to liver ratio (BLR/SLR) were calculated. Kaplan–Meier analyses and Cox regression models were used to assess progression-free/overall survival (PFS/OS) and their determinant variables. Median follow-up was 12 months (M; 95% confidence interval 10–14). Multivariate selection for PFS/OS revealed MTV as most relevant PET/CT biomarker (p < 0.001). Median PFS/OS were significantly longer in patients with MTV ≤ 70 mL vs. >70 mL (PFS: 10 M (4–16) vs. 4 M (3–5), p = 0.001; OS: not reached vs. 10 M (5–15), p = 0.004). Disease control rate was 81% vs. 53% for MTV ≤/> 70 mL (p = 0.007). BLR ≤ 1.06 vs. >1.06 was associated with better outcomes (PFS: 8 M (4–13) vs. 4 M (3–6), p = 0.034; OS: 19 M (12-/) vs. 6 M (4–12), p = 0.005). In patients with MTV > 70 mL, concomitant BLR ≤ 1.06 indicated a better prognosis. Higher MTV is associated with inferior PFS/OS in first-line ICI-treated NSCLC, with BLR allowing additional risk stratification.
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Lopci E. Immunotherapy Monitoring with Immune Checkpoint Inhibitors Based on [ 18F]FDG PET/CT in Metastatic Melanomas and Lung Cancer. J Clin Med 2021; 10:jcm10215160. [PMID: 34768681 PMCID: PMC8584484 DOI: 10.3390/jcm10215160] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 12/15/2022] Open
Abstract
Immunotherapy with checkpoint inhibitors has prompted a major change not only in cancer treatment but also in medical imaging. In parallel with the implementation of new drugs modulating the immune system, new response criteria have been developed, aiming to overcome clinical drawbacks related to the new, unusual, patterns of response characterizing both solid tumors and lymphoma during the course of immunotherapy. The acknowledgement of pseudo-progression, hyper-progression, immune-dissociated response and so forth, has become mandatory for all imagers dealing with this clinical scenario. A long list of acronyms, i.e., irRC, iRECIST, irRECIST, imRECIST, PECRIT, PERCIMT, imPERCIST, iPERCIST, depicts the enormous effort made by radiology and nuclear medicine physicians in the last decade to optimize imaging parameters for better prediction of clinical benefit in immunotherapy regimens. Quite frequently, a combination of clinical-laboratory data with imaging findings has been tested, proving the ability to stratify patients into various risk groups. The next steps necessarily require a large scale validation of the most robust criteria, as well as the clinical implementation of immune-targeting tracers for immuno-PET or the exploitation of radiomics and artificial intelligence as complementary tools during the course of immunotherapy administration. For the present review article, a summary of PET/CT role for immunotherapy monitoring will be provided. By scrolling into various cancer types and applied response criteria, the reader will obtain necessary information for better understanding the potentials and limitations of the modality in the clinical setting.
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Affiliation(s)
- Egesta Lopci
- Nuclear Medicine Unit, IRCCS-Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, MI, Italy
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Dall'Olio FG, Marabelle A, Caramella C, Garcia C, Aldea M, Chaput N, Robert C, Besse B. Tumour burden and efficacy of immune-checkpoint inhibitors. Nat Rev Clin Oncol 2021; 19:75-90. [PMID: 34642484 DOI: 10.1038/s41571-021-00564-3] [Citation(s) in RCA: 126] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2021] [Indexed: 01/07/2023]
Abstract
Accumulating evidence suggests that a high tumour burden has a negative effect on anticancer immunity. The concept of tumour burden, simply defined as the total amount of cancer in the body, in contrast to molecular tumour burden, is often poorly understood by the wider medical community; nonetheless, a possible role exists in defining the optimal treatment strategy for many patients. Historically, tumour burden has been assessed using imaging. In particular, CT scans have been used to evaluate both the number and size of metastases as well as the number of organs involved. These methods are now often complemented by metabolic tumour burden, measured using the more recently developed 2-deoxy-2-[18F]-fluoro-D-glucose (FDG)-PET/CT. Serum-based biomarkers, such as lactate dehydrogenase, can also reflect tumour burden and are often also correlated with a poor response to immune-checkpoint inhibitors. Other circulating markers (such as circulating free tumour DNA and/or circulating tumour cells) are also attracting research interest as surrogate markers of tumour burden. In this Review, we summarize evidence supporting the utility of tumour burden as a biomarker to guide the use of immune-checkpoint inhibitors. We also describe data and provide perspective on the various tools used for tumour burden assessment, with a particular emphasis on future therapeutic strategies that might address the issue of inferior outcomes among patients with cancer with a high tumour burden.
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Affiliation(s)
- Filippo G Dall'Olio
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France.,Division of Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.,Department of Specialized, Experimental and Diagnostic Medicine, University of Bologna, Bologna, Italy
| | - Aurélien Marabelle
- Drug Development Department, Gustave Roussy, Villejuif, France.,Faculty of Medicine, University Paris-Saclay, Kremlin Bicêtre, France.,Institut national de la santé et de la recherche médicale (INSERM), Gustave Roussy, Villejuif, France
| | - Caroline Caramella
- Department of Radiology, Hôpital Marie Lannelongue, Le Plessis-Robinson, France
| | - Camilo Garcia
- Department of Nuclear Medicine and Endocrine Oncology, Institut Gustave Roussy and University Paris-Saclay, Villejuif, France
| | - Mihaela Aldea
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France
| | - Nathalie Chaput
- Laboratory of Immunomonitoring in Oncology, Gustave Roussy, Villejuif, France.,Faculty of Pharmacy, University Paris-Saclay, Chatenay-Malabry, France
| | - Caroline Robert
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France.,Faculty of Medicine, University Paris-Saclay, Kremlin Bicêtre, France.,Institut national de la santé et de la recherche médicale (INSERM), Gustave Roussy, Villejuif, France
| | - Benjamin Besse
- Department of Cancer Medicine, Gustave Roussy, Villejuif, France. .,Faculty of Medicine, University Paris-Saclay, Kremlin Bicêtre, France.
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Liberini V, Mariniello A, Righi L, Capozza M, Delcuratolo MD, Terreno E, Farsad M, Volante M, Novello S, Deandreis D. NSCLC Biomarkers to Predict Response to Immunotherapy with Checkpoint Inhibitors (ICI): From the Cells to In Vivo Images. Cancers (Basel) 2021; 13:4543. [PMID: 34572771 PMCID: PMC8464855 DOI: 10.3390/cancers13184543] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/06/2021] [Accepted: 09/08/2021] [Indexed: 12/24/2022] Open
Abstract
Lung cancer remains the leading cause of cancer-related death, and it is usually diagnosed in advanced stages (stage III or IV). Recently, the availability of targeted strategies and of immunotherapy with checkpoint inhibitors (ICI) has favorably changed patient prognosis. Treatment outcome is closely related to tumor biology and interaction with the tumor immune microenvironment (TME). While the response in molecular targeted therapies relies on the presence of specific genetic alterations in tumor cells, accurate ICI biomarkers of response are lacking, and clinical outcome likely depends on multiple factors that are both host and tumor-related. This paper is an overview of the ongoing research on predictive factors both from in vitro/ex vivo analysis (ranging from conventional pathology to molecular biology) and in vivo analysis, where molecular imaging is showing an exponential growth and use due to technological advancements and to the new bioinformatics approaches applied to image analyses that allow the recovery of specific features in specific tumor subclones.
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Affiliation(s)
- Virginia Liberini
- Department of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Turin, Italy;
- Nuclear Medicine Department, S. Croce e Carle Hospital, 12100 Cuneo, Italy
| | - Annapaola Mariniello
- Thoracic Oncology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (A.M.); (M.D.D.); (S.N.)
| | - Luisella Righi
- Pathology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (L.R.); (M.V.)
| | - Martina Capozza
- Molecular & Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126 Torino, Italy; (M.C.); (E.T.)
| | - Marco Donatello Delcuratolo
- Thoracic Oncology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (A.M.); (M.D.D.); (S.N.)
| | - Enzo Terreno
- Molecular & Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126 Torino, Italy; (M.C.); (E.T.)
| | - Mohsen Farsad
- Nuclear Medicine, Central Hospital Bolzano, 39100 Bolzano, Italy;
| | - Marco Volante
- Pathology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (L.R.); (M.V.)
| | - Silvia Novello
- Thoracic Oncology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (A.M.); (M.D.D.); (S.N.)
| | - Désirée Deandreis
- Department of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Turin, Italy;
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Hyperprogressive Disease Caused by PD-1 Inhibitors for the Treatment of Pan-Cancer. DISEASE MARKERS 2021; 2021:6639366. [PMID: 34239621 PMCID: PMC8241516 DOI: 10.1155/2021/6639366] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 06/02/2021] [Indexed: 12/25/2022]
Abstract
Background Nowadays, PD-1/PD-L1 inhibitors are widely used to treat various malignant tumors. However, during the immunotherapy in a few patients, a flare-up of tumor growth occurred. This new pattern of progression is called hyperprogressive disease (HPD). Patients and Methods. The retrospective study included 377 patients with various malignant tumors treated with PD-1 inhibitors (nivolumab or pembrolizumab) in the Chinese PLA General Hospital from January 2015 to January 2019. Clinicopathologic variables, tumor growth rate (TGR), and treatment outcomes were analyzed in patients with pan-cancer treated with PD-1 inhibitors. HPD was defined as the difference of TGR before and during immunotherapy exceeding 50%. Results In 38 of 377 patients (10.08%), HPD occurred after treatment with PD-1 inhibitors. Patients with HPD had lower overall survival (OS) than those without HPD (median OS, 3.6months (95% CI, 3.0-4.2) vs. 7.3 months (95% CI, 5.9-8.7); P < 0.01). Factors related to HPD include more than 2 metastatic sites, ECOG performance status ≥ 2, hepatic metastases, and lactate dehydrogenase level greater than normal upper limit. KRAS status was significantly associated with HPD in patients with colorectal cancer. In the exploratory predictors' analysis, the rapid increase of characteristic tumor markers (such as CEA in colorectal cancer, CA199 in pancreatic cancer and cholangiocarcinoma) within one month was found to be associated with the occurrence of HPD. Conclusions HPD was developed with different rates in a variety of malignant tumor patients treated with PD-1 inhibitors and related to some clinicopathological features and poor prognosis. Tumor markers, especially CA199, might be served as early predictors of HPD.
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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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Mezquita L, Preeshagul I, Auclin E, Saravia D, Hendriks L, Rizvi H, Park W, Nadal E, Martin-Romano P, Ruffinelli JC, Ponce S, Audigier-Valette C, Carnio S, Blanc-Durand F, Bironzo P, Tabbò F, Reale ML, Novello S, Hellmann MD, Sawan P, Girshman J, Plodkowski AJ, Zalcman G, Majem M, Charrier M, Naigeon M, Rossoni C, Mariniello A, Paz-Ares L, Dingemans AM, Planchard D, Cozic N, Cassard L, Lopes G, Chaput N, Arbour K, Besse B. Predicting immunotherapy outcomes under therapy in patients with advanced NSCLC using dNLR and its early dynamics. Eur J Cancer 2021; 151:211-220. [PMID: 34022698 DOI: 10.1016/j.ejca.2021.03.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 02/16/2021] [Accepted: 03/01/2021] [Indexed: 01/17/2023]
Abstract
BACKGROUND dNLR at the baseline (B), defined by neutrophils/[leucocytes-neutrophils], correlates with immune-checkpoint inhibitor (ICI) outcomes in advanced non-small-cell lung cancer (aNSCLC). However, dNLR is dynamic under therapy and its longitudinal assessment may provide data predicting efficacy. We sought to examine the impact of dNLR dynamics on ICI efficacy and understand its biological significance. PATIENTS AND METHODS aNSCLC patients receiving ICI at 17 EU/US centres were included [Feb/13-Jun/18]. As chemotherapy-only group was evaluated (NCT02105168). dNLR was determined at (B) and at cycle2 (C2) [dNLR≤3 = low]. B+C2 dNLR were combined in one score: good = low (B+C2), poor = high (B+C2), intermediate = other situations. In 57 patients, we prospectively explored the immunophenotype of circulating neutrophils, particularly the CD15+CD244-CD16lowcells (immature) by flow cytometry. RESULTS About 1485 patients treatment with ICI were analysed. In ICI-treated patients, high dNLR (B) (~1/3rd) associated with worse progression-free (PFS)/overall survival (OS) (HR 1.56/HR 2.02, P < 0.0001) but not with chemotherapy alone (N = 173). High dNLR at C2 was associated with worse PFS/OS (HR 1.64/HR 2.15, P < 0.0001). When dNLR at both time points were considered together, those with persistently high dNLR (23%) had poor survival (mOS = 5 months (mo)), compared with high dNLR at one time point (22%; mOS = 9.2mo) and persistently low dNLR (55%; mOS = 18.6mo) (P < 0.0001). The dNLR impact remained significant after PD-L1 adjustment. By cytometry, high rate of immature neutrophils (B) (30/57) correlated with poor PFS/OS (P = 0.04; P = 0.0007), with a 12-week death rate of 49%. CONCLUSION The dNLR (B) and its dynamics (C2) under ICI associate with ICI outcomes in aNSCLC. Persistently high dNLR (B+C2) correlated with early ICI failure. Immature neutrophils may be a key subpopulation on ICI resistance.
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Affiliation(s)
- Laura Mezquita
- Cancer Medicine Department, Gustave Roussy, Villejuif, France; Medical Oncology Department, Hospital Clínic, Barcelona, Spain; Translational Genomics and Targeted Therapeutics in Solid Tumors, August Pi I Sunyer Biomedical Research Institute, Barcelona, Spain. https://twitter.com/LauraMezquitaMD
| | - Isabel Preeshagul
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center NY, USA
| | - Edouard Auclin
- Medical and Gastrointestinal Oncology Department, Georges Pompidou Hospital, Paris, France
| | - Diana Saravia
- Medical Oncology Department Sylvester Comprehensive Cancer Center, University of Miami
| | - Lizza Hendriks
- Cancer Medicine Department, Gustave Roussy, Villejuif, France; Pulmonary Diseases GROW- School for Oncology and Biology, Maastricht UMC+, Maastricht, the Netherlands
| | - Hira Rizvi
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center NY, USA
| | - Wungki Park
- Medical Oncology Department Sylvester Comprehensive Cancer Center, University of Miami
| | - Ernest Nadal
- Medical Oncology Department, Catalan Institute of Oncology, L'Hospitalet, Barcelona Spain
| | | | - Jose C Ruffinelli
- Medical Oncology Department, Catalan Institute of Oncology, L'Hospitalet, Barcelona Spain
| | - Santiago Ponce
- Medical Oncology Department, Hospital 12 Octubre, Madrid, Spain
| | | | - Simona Carnio
- Thoracic Oncology Unit, Department of Oncology, University of Turin, AOU San Luigi, Orbassano (TO) Italy
| | | | - Paolo Bironzo
- Thoracic Oncology Unit, Department of Oncology, University of Turin, AOU San Luigi, Orbassano (TO) Italy
| | - Fabrizio Tabbò
- Thoracic Oncology Unit, Department of Oncology, University of Turin, AOU San Luigi, Orbassano (TO) Italy
| | - Maria Lucia Reale
- Thoracic Oncology Unit, Department of Oncology, University of Turin, AOU San Luigi, Orbassano (TO) Italy
| | - Silvia Novello
- Thoracic Oncology Unit, Department of Oncology, University of Turin, AOU San Luigi, Orbassano (TO) Italy
| | - Matthew D Hellmann
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center NY, USA
| | - Peter Sawan
- Department of Radiology, Memorial Sloan Kettering Cancer Center NY, USA
| | - Jeffrey Girshman
- Department of Radiology, Memorial Sloan Kettering Cancer Center NY, USA
| | | | - Gerard Zalcman
- Thoracic Oncology Department, CIC1425/CLIP2 Paris-Nord, Hôpital Bichat- Claude Bernard, Paris, France
| | - Margarita Majem
- Medical Oncology Department, Hospital San Pau, Barcelona, Spain
| | - Melinda Charrier
- Laboratory of Immunomonitoring in Oncology, UMS3655 CNRS US 23 INSERM, Gustave Roussy, Villejuif, France
| | - Marie Naigeon
- Laboratory of Immunomonitoring in Oncology, UMS3655 CNRS US 23 INSERM, Gustave Roussy, Villejuif, France
| | | | - AnnaPaola Mariniello
- Thoracic Oncology Unit, Department of Oncology, University of Turin, AOU San Luigi, Orbassano (TO) Italy
| | - Luis Paz-Ares
- Medical Oncology Department, Hospital 12 Octubre, Madrid, Spain
| | | | - David Planchard
- Cancer Medicine Department, Gustave Roussy, Villejuif, France
| | | | - Lydie Cassard
- Laboratory of Immunomonitoring in Oncology, UMS3655 CNRS US 23 INSERM, Gustave Roussy, Villejuif, France
| | - Gilberto Lopes
- Medical Oncology Department Sylvester Comprehensive Cancer Center, University of Miami
| | - Nathalie Chaput
- Laboratory of Immunomonitoring in Oncology, UMS3655 CNRS US 23 INSERM, Gustave Roussy, Villejuif, France; University Paris-Saclay, School of Pharmacy, France
| | - Kathryn Arbour
- Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center NY, USA
| | - Benjamin Besse
- Cancer Medicine Department, Gustave Roussy, Villejuif, France; University Paris-Saclay, School of Medicine, France.
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Utility of Volumetric Metabolic Parameters on Preoperative FDG PET/CT for Predicting Tumor Lymphovascular Invasion in Non-Small Cell Lung Cancer. AJR Am J Roentgenol 2021; 217:1433-1443. [PMID: 33978465 DOI: 10.2214/ajr.21.25814] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background: Lymphovascular invasion (LVI) is an adverse prognostic indicator in non-small cell lung cancer (NSCLC) and serves as an indication for postoperative adjuvant chemotherapy recommendation after resection. Objective: To assess the utility of clinicopathologic factors and volumetric metabolic parameters from preoperative FDG PET/CT in predicting primary tumor LVI in NSCLC. Methods: This retrospective study included 161 patients (mean age, 61.8±8.1 years; 111 men, 50 women) with surgically-confirmed NSCLC who underwent preoperative FDG PET/CT between January 2018 and November 2020. Two nuclear medicine physicians used software to place automated volumes of interest delineating each tumor to record metabolic indices (SUVmax, SUVmean, and metabolictumor volume [MTV]), which in turn were used to calculate total lesion glycolysis (TLG). Measurements were first performed independently to determine interobserver agreement using intraclass correlation coefficients (ICCs) and then repeated in consensus. Associations of clinicopathologic and metabolic parameters with tumor LVI status were assessed using t test, Mann-Whitney U test, and chi-squared test. Diagnostic performance was assessed using ROC analysis. Multivariable logistic regression analysis was performed to identify independent predictors of tumor LVI. Results: A total of 23.6% (38/161) of patients had LVI. Interobserver agreement was ICC=1.000 for SUVmax, ICC=0.997 for SUVmean, and 0.999 for MTV. Tumors with LVI, compared with tumors without LVI, exhibited higher SUVmax (15.4±5.9 vs 11.7±7.5, p=.006), SUVmean (6.0±1.6 vs 5.1±2.0, p=.009), MTV (median 15.8 cm3 vs 5.5 cm3, p<.001), and TLG (median 88.8 vs 24.5, p<.001). Among the metabolic parameters, AUC was highest for MTV (0.704), with optimal MTV cutoff of 6.4 cm3 yielding sensitivity 92.1% (35/38), specificity 56.1% (69/123), PPV 39.3% (35/89), and NPV 95.8% (69/72) for LVI. Independent predictors (p<.05) of LVI were MTV (≥6.4 cm3, odds ratio [OR]=6.5), N1 (OR=6.4) or N2 (OR=4.0) disease, and T2 disease (OR=3.6). These factors combined achieved AUC of 0.854 for LVI. Conclusion: The volumetric metabolic parameter MTV from preoperative FDG PET/CT is an independent predictor of tumor LVI in NSCLC. Clinical Impact: Further studies are warranted to assess the potential role of preoperative prediction of LVI using FDG PET/CT to help guide clinical decision making in NSCLC.
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Castello A, Rossi S, Toschi L, Lopci E. Impact of Antibiotic Therapy and Metabolic Parameters in Non-Small Cell Lung Cancer Patients Receiving Checkpoint Inhibitors. J Clin Med 2021; 10:jcm10061251. [PMID: 33803006 PMCID: PMC8002619 DOI: 10.3390/jcm10061251] [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: 01/22/2021] [Revised: 03/08/2021] [Accepted: 03/11/2021] [Indexed: 01/05/2023] Open
Abstract
Introduction: In the current study, we aimed to assess the impact of antibiotics (ATB) and metabolic parameters on clinical outcome of non-small cell lung carcinoma (NSCLC) patients treated with immune checkpoint inhibitors (ICI). Methods: Data from fifty NSCLC patients referred for ICI between December 2015 and May 2019 were analyzed. All patients underwent 18F-fluorodeoxyglucose positron emission tomography computed tomography (18F-FDG PET/CT) and contrast-enhanced CT at baseline and for response assessment after 6–8 weeks. Patients who received ATB within 1 month before or after the first dose of ICI were compared with those who did not. Response assessment according to iRECIST and EORTC was evaluated, as well as progression-free survival (PFS) and overall survival (OS). For semi-quantitative parameters, we computed metabolic tumor volume (MTV), total lesion glycolysis (TLG) and their variations (∆). Results: Twenty NSCLC cases of 50 (40%) had received ATB. Patients receiving ATB had a higher number of metastases (p = 0.046), and were associated with an elevated tumor burden, expressed by TLG (687 vs. 235.3, p = 0.007) and MTV (125.6 vs. 40.6, p = 0.002), compared to no-ATB patients. According to iRECIST, progressive disease rate was significantly higher for ATB group (64.7% vs. 27.6%, p = 0.029). Likewise, PFS was shorter for ATB compared to no-ATB (median 4.1 vs. 12.4 months, p = 0.004), while no difference for OS was detected. On multivariate analysis, the effect of ATB remained significant for poor PFS along with performance status (ECOG ≥ 1), and ∆SUVmax. Conclusions: ATB therapy seems to be associated with a worse treatment response, PFS, and higher metabolic tumor burden in NSCLC patients treated with ICI.
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Affiliation(s)
- Angelo Castello
- Nuclear Medicine Unit, IRCCS-Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy;
| | - Sabrina Rossi
- Department of Oncology and Hematology, IRCCS-Humanitas Research Center, 20089 Rozzano, Italy; (S.R.); (L.T.)
| | - Luca Toschi
- Department of Oncology and Hematology, IRCCS-Humanitas Research Center, 20089 Rozzano, Italy; (S.R.); (L.T.)
| | - Egesta Lopci
- Nuclear Medicine Unit, IRCCS-Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy;
- Correspondence: ; Tel.: +39-02-82247542; Fax: +39-02-82246693
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Hyperprogression in hepatocellular carcinoma: Illusion or reality? J Hepatol 2021; 74:269-271. [PMID: 33109354 DOI: 10.1016/j.jhep.2020.09.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 09/17/2020] [Indexed: 12/29/2022]
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Hindié E. Metastatic melanoma: can FDG-PET predict success of anti-PD-1 therapy and help determine when it can be discontinued? Eur J Nucl Med Mol Imaging 2021; 47:2227-2232. [PMID: 32322914 DOI: 10.1007/s00259-020-04826-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Elif Hindié
- Department of Nuclear Medicine, Bordeaux University and Hospitals, Bordeaux, France. .,Hôpital Haut-Lévêque, Avenue Magellan, 33604, Pessac, France.
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Toki MI, Syrigos N, Syrigos K. Hyperprogressive disease: A distinct pattern of progression to immune checkpoint inhibitors. Int J Cancer 2020; 149:277-286. [PMID: 33300601 DOI: 10.1002/ijc.33429] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/30/2020] [Accepted: 12/02/2020] [Indexed: 12/31/2022]
Abstract
Hyperprogressive disease (HPD) is a novel pattern of progression attributed to immune checkpoint inhibitor (ICI) treatment and characterized by a dramatic tumor surge and poor survival. The concept of HPD is still controversial, while the definition varies widely across studies. Although HPD has been associated with multiple clinicopathological and molecular features, there is no biomarker to predict this detrimental effect of immunotherapy and the underlying mechanism remains unknown. The aim of this comprehensive review is to summarize current data on HPD and present the controversies and clinical care management challenges for oncologists treating patients with ICIs.
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Affiliation(s)
- Maria I Toki
- Department of Pathology, Yale University, School of Medicine, New Haven, Connecticut, USA.,National and Kapodistrian University, School of Medicine, Athens, Greece
| | - Nikos Syrigos
- National and Kapodistrian University, School of Medicine, Athens, Greece
| | - Kostas Syrigos
- National and Kapodistrian University, School of Medicine, Athens, Greece
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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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Aide N, De Pontdeville M, Lopci E. Evaluating response to immunotherapy with 18F-FDG PET/CT: where do we stand? Eur J Nucl Med Mol Imaging 2020; 47:1019-1021. [PMID: 31996974 DOI: 10.1007/s00259-020-04702-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Nicolas Aide
- Nuclear Medicine Department, Centre Hospitalier Universitaire, Avenue Côte de Nacre, 14000, Caen, France. .,Normandie University, Caen, France. .,INSERM ANTICIPE, Normandie University, Caen, France.
| | | | - Egesta Lopci
- Nuclear Medicine Department, Humanitas Clinical and Research Hospital, Rozzano, Italy
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Imaging in Therapy Response Assessment and Surveillance of Lung Cancer: Evidenced-based Review With Focus on the Utility of 18F-FDG PET/CT. Clin Lung Cancer 2020; 21:485-497. [DOI: 10.1016/j.cllc.2020.06.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/18/2020] [Accepted: 06/28/2020] [Indexed: 12/11/2022]
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Lang D, Wahl G, Poier N, Graf S, Kiesl D, Lamprecht B, Gabriel M. Impact of PET/CT for Assessing Response to Immunotherapy-A Clinical Perspective. J Clin Med 2020; 9:jcm9113483. [PMID: 33126715 PMCID: PMC7694130 DOI: 10.3390/jcm9113483] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 10/18/2020] [Accepted: 10/22/2020] [Indexed: 12/25/2022] Open
Abstract
Cancer immunotherapy using immune-checkpoint inhibitors (ICI) has revolutionized the therapeutic landscape of various malignancies like non-small-cell lung cancer or melanoma. Pre-therapy response prediction and assessment during ICI treatment is challenging due to the lack of reliable biomarkers and the possibility of atypical radiological response patterns. Positron emission tomography/computed tomography (PET/CT) enables the visualization and quantification of metabolic lesion activity additional to conventional CT imaging. Various biomarkers derived from PET/CT have been reported as predictors for response to ICI and may aid to overcome the challenges clinicians currently face in the management of ICI-treated patients. In this narrative review, experts in nuclear medicine, thoracic oncology, dermatooncology, hemato- and internal oncology, urological and head/neck tumors performed literature reviews in their respective field and a joint discussion on the use of PET/CT in the context of ICI treatment. The aims were to give a clinical overview on present standards and evidence, to identify current challenges and fields of research and to enable an outlook to future developments and their possible implications. Multiple promising studies concerning ICI response assessment or prediction using biomarkers derived from PET/CT alone or as composite biomarkers have been identified for various malignancies and disease stages. Of interest, additional major incentives in the field may evolve from novel tracers specifically targeting immune-checkpoint molecules which could allow not only response assessment and prognosis, but also visualization of histological tumor cell properties like programmed death-ligand (PD-L1) expression in vivo. Despite the broad range of existing literature on PET/CT-derived biomarkers in ICI therapy, implications for daily clinical practice remain elusive. High-quality prospective data are urgently warranted to determine whether patients benefit from the application of PET/CT in terms of prognosis. At the moment, the lack of such evidence as well as the absence of standardized imaging methods and biomarkers still precludes PET/CT imaging to be included in the relevant clinical practice guidelines.
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Affiliation(s)
- David Lang
- Department of Pulmonology Johannes Kepler University Hospital Linz, Krankenhausstrasse 9, 4020 Linz, Austria; (D.L.); (B.L.)
| | - Gerald Wahl
- Department of Dermatology and Venerology, Johannes Kepler University Hospital Linz, Krankenhausstrasse 9, 4020 Linz, Austria;
| | - Nikolaus Poier
- Department of Otorhinolaryngology, Head and Neck Surgery, Johannes Kepler University Hospital Linz, Krankenhausstrasse 9, 4020 Linz, Austria;
| | - Sebastian Graf
- Department of Urology and Andrology, Johannes Kepler University Hospital Linz Krankenhausstrasse 9, 4020 Linz, Austria;
| | - David Kiesl
- University Clinic of Hematology and Internal Oncology Johannes Kepler University Hospital Linz, Krankenhausstrasse 9, 4020 Linz, Austria;
| | - Bernd Lamprecht
- Department of Pulmonology Johannes Kepler University Hospital Linz, Krankenhausstrasse 9, 4020 Linz, Austria; (D.L.); (B.L.)
| | - Michael Gabriel
- Institute of Nuclear Medicine and Endocrinology, Johannes Kepler University Hospital Linz, Krankenhausstrasse 9, 4020 Linz, Austria
- Correspondence: ; Tel.: +43-5-7680-83-6166; Fax: +43-5-7680-83-6165
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