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Ohri N, Chudgar NP, Vimolratana M, Cheng H, Stiles B. Comments on "Effect of Surgical Treatment for N2-Positive c-Stage III Non-Small Cell Lung Carcinoma in the "PACIFIC" Era". Clin Lung Cancer 2024; 25:e75-e76. [PMID: 38057187 DOI: 10.1016/j.cllc.2023.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/01/2023] [Indexed: 12/08/2023]
Affiliation(s)
- Nitin Ohri
- Montefiore Einstein Comprehensive Cancer Center, Bronx, NY.
| | - Neel P Chudgar
- Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | | | - Haiying Cheng
- Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - Brendon Stiles
- Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
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Ohri N, Jolly S, Cooper BT, Kabarriti R, Bodner WR, Klein J, Guha C, Viswanathan S, Shum E, Sabari JK, Cheng H, Gucalp RA, Castellucci E, Qin A, Gadgeel SM, Halmos B. Selective Personalized RadioImmunotherapy for Locally Advanced Non-Small-Cell Lung Cancer Trial (SPRINT). J Clin Oncol 2024; 42:562-570. [PMID: 37988638 DOI: 10.1200/jco.23.00627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 07/25/2023] [Accepted: 09/29/2023] [Indexed: 11/23/2023] Open
Abstract
PURPOSE Standard therapy for locally advanced non-small-cell lung cancer (LA-NSCLC) is concurrent chemoradiotherapy followed by adjuvant durvalumab. For biomarker-selected patients with LA-NSCLC, we hypothesized that sequential pembrolizumab and risk-adapted radiotherapy, without chemotherapy, would be well-tolerated and effective. METHODS Patients with stage III NSCLC or unresectable stage II NSCLC and an Eastern Cooperative Oncology Group performance status of 0-1 were eligible for this trial. Patients with a PD-L1 tumor proportion score (TPS) of ≥50% received three cycles of induction pembrolizumab (200 mg, once every 21 days), followed by a 20-fraction course of risk-adapted thoracic radiotherapy (55 Gy delivered to tumors or lymph nodes with metabolic volume exceeding 20 cc, 48 Gy delivered to smaller lesions), followed by consolidation pembrolizumab to complete a 1-year treatment course. The primary study end point was 1-year progression-free survival (PFS). Secondary end points included response rates after induction pembrolizumab, overall survival (OS), and adverse events. RESULTS Twenty-five patients with a PD-L1 TPS of ≥50% were enrolled. The median age was 71, most patients (88%) had stage IIIA or IIIB disease, and the median PD-L1 TPS was 75%. Two patients developed disease progression during induction pembrolizumab, and two patients discontinued pembrolizumab after one infusion because of immune-related adverse events. Using RECIST criteria, 12 patients (48%) exhibited a partial or complete response after induction pembrolizumab. Twenty-four patients (96%) received definitive thoracic radiotherapy. The 1-year PFS rate is 76%, satisfying our efficacy objective. One- and 2-year OS rates are 92% and 76%, respectively. The most common grade 3 adverse events were colitis (n = 2, 8%) and esophagitis (n = 2, 8%), and no higher-grade treatment-related adverse events have occurred. CONCLUSION Pembrolizumab and risk-adapted radiotherapy, without chemotherapy, are a promising treatment approach for patients with LA-NSCLC with a PD-L1 TPS of ≥50%.
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Affiliation(s)
- Nitin Ohri
- Department of Radiation Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - Shruti Jolly
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI
| | - Benjamin T Cooper
- Department of Radiation Oncology, Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY
| | - Rafi Kabarriti
- Department of Radiation Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - William R Bodner
- Department of Radiation Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - Jonathan Klein
- Department of Radiation Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - Chandan Guha
- Department of Radiation Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - Shankar Viswanathan
- Department of Epidemiology and Population Health, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - Elaine Shum
- Division of Medical Oncology, Department of Medicine, Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY
| | - Joshua K Sabari
- Division of Medical Oncology, Department of Medicine, Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY
| | - Haiying Cheng
- Department of Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - Rasim A Gucalp
- Department of Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - Enrico Castellucci
- Department of Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
| | - Angel Qin
- Department of Internal Medicine, Division of Hematology-Oncology, University of Michigan, Ann Arbor, MI
| | - Shirish M Gadgeel
- Department of Internal Medicine, Henry Ford Cancer Institute, Henry Ford Health System, Detroit, MI
| | - Balazs Halmos
- Department of Oncology, Montefiore Einstein Comprehensive Cancer Center, Bronx, NY
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Hu T, Shen J, Shao M, Feng X, Lu D, Ding E. Prognostic value of pretreatment FDG PET-CT for short-term efficacy of radioactive iodine-125 seed implantation in patients with NSCLC. Brachytherapy 2023; 22:882-888. [PMID: 37758577 DOI: 10.1016/j.brachy.2023.08.005] [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: 04/14/2023] [Revised: 08/02/2023] [Accepted: 08/18/2023] [Indexed: 09/29/2023]
Abstract
PURPOSE To analyze the short-term clinical response of radioactive iodine-125 seed implantation (I125-SI) in patients of non-small-cell lung cancer (NSCLC) and explore possible correlations of various metabolic parameters of pretreatment FDG PET-CT with the short-term efficacy of this treatment modality. METHODS AND MATERIALS The present study is a retrospective analysis of treatment records of 46 NSCLC patients who were treated with I125-SI for lung tumors in Tianjin First Central Hospital from January 2016 to December 2018. The correlation among parameters D90, gender, pathological pattern, age, maximum tumor diameter, Metabolic Tumor Volume (MTV), SUVmax, SUVpeak, SUVmean, Total Lesion Glycolysis (TLG), High metabolic tumor cell ratio (HMR) and Carcinoembryonic antigen(CEA)with short-term efficacy of I125-SI was analyzed by two independent-sample t-test, Mann-Whitney U test or Chi-squared test and binary logistic regression. RESULTS After uneventful completion of treatment, patients were followed up at regular intervals. At the first month followup, none of cases showed complete response (CR), while 4 cases showed partial response (PR). After 3 months, there were 2 cases of CR, and 25 cases of PR; after 6 months, there were 5 cases of CR, and 27 cases of PR. D90 (p= 0.028, OR:1.075, 95% CI:1.008-1.147), MTV (p= 0.026, OR: 0.918, 95% CI: 0.851-0.990), HMR (p= 0.020, OR: 0.003, 95% CI: 0-0.407) were independent predictors for the short-term efficacy. The predictive accuracy of MTV was medium (AUC = 0.781; cutoff value = 44.58). However, the predictive accuracies of D90 and HMR were low, with the values of AUC being 0.650 for both the parameters, and their cutoff values being 127.8 Gy and 0.27 respectively. CONCLUSIONS I125-SI is an effective therapy with few complications in NSCLC patients. Small MTV, high D90 and low HRM were found to be linked with better local control at 6 months postimplantation.
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Affiliation(s)
- Tianpeng Hu
- The First Central Clinical School, Tianjin Medical University, Tianjin, China; Department of Nuclear Medicine, Tianjin First Central Hospital, Tianjin, China
| | - Jie Shen
- Department of Nuclear Medicine, Tianjin First Central Hospital, Tianjin, China.
| | - Menglin Shao
- Department of Nuclear Medicine, Tianjin First Central Hospital, Tianjin, China
| | - Xuemin Feng
- Department of Nuclear Medicine, Tianjin First Central Hospital, Tianjin, China
| | - Dongyan Lu
- Department of Nuclear Medicine, Tianjin First Central Hospital, Tianjin, China
| | - Enci Ding
- Department of Nuclear Medicine, Tianjin First Central Hospital, Tianjin, China
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Grambozov B, Kalantari F, Beheshti M, Stana M, Karner J, Ruznic E, Zellinger B, Sedlmayer F, Rinnerthaler G, Zehentmayr F. Pretreatment 18-FDG-PET/CT parameters can serve as prognostic imaging biomarkers in recurrent NSCLC patients treated with reirradiation-chemoimmunotherapy. Radiother Oncol 2023; 185:109728. [PMID: 37301259 DOI: 10.1016/j.radonc.2023.109728] [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: 02/20/2023] [Revised: 05/02/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND AND PURPOSE Our study aimed to assess whether quantitative pretreatment 18F-FDG-PET/CT parameters could predict prognostic clinical outcome of recurrent NSCLC patients who may benefit from ablative reirradiation. MATERIALS AND METHODS Forty-eight patients with recurrent NSCLC of all UICC stages who underwent ablative thoracic reirradiation were analyzed. Twenty-nine (60%) patients received immunotherapy with or without chemotherapy in addition to reirradiation. Twelve patients (25%) received reirradiation only and seven (15%) received chemotherapy and reirradiation. Pretreatment 18-FDG-PET/CT was mandatory in initial diagnosis and recurrence, based on which volumetric and intensity quantitative parameters were measured before reirradiation and their impact on overall survival, progression-free survival, and locoregional control was assessed. RESULTS With a median follow-up time of 16.7 months, the median OS was 21.8 months (95%-CI: 16.2-27.3). On multivariate analysis, OS and PFS were significantly influenced by MTV (p < 0.001 for OS; p = 0.006 for PFS), TLG (p < 0.001 for OS; p = 0.001 for PFS) and SUL peak (p = 0.0024 for OS; p = 0.02 for PFS) of the tumor and MTV (p = 0.004 for OS; p < 0.001 for PFS) as well as TLG (p = 0.007 for OS; p = 0.015 for PFS) of the metastatic lymph nodes. SUL peak of the tumor (p = 0.05) and the MTV of the lymph nodes (p = 0.003) were only PET quantitative parameters that significantly impacted LRC. CONCLUSION Pretreatment tumor and metastastic lymph node MTV, TLG and tumor SUL peak significantly correlated with clinical outcome in recurrent NSCLC patients treated with reirradiation-chemoimmunotherapy.
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Affiliation(s)
- Brane Grambozov
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria.
| | - Forough Kalantari
- Department of Nuclear Medicine, Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran; Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Mohsen Beheshti
- Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Markus Stana
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria
| | - Josef Karner
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria
| | - Elvis Ruznic
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria
| | - Barbara Zellinger
- Institute of Pathology, Paracelsus Medical University, SALK, Salzburg, Austria
| | - Felix Sedlmayer
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria; radART - Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria
| | - Gabriel Rinnerthaler
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (SCRI-LIMCR), Paracelsus Medical University Salzburg, 5020 Salzburg, Austria; Cancer Cluster Salzburg, 5020 Salzburg, Austria
| | - Franz Zehentmayr
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria; radART - Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria
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Eren G, Kupik O. Necrosis on pre-radiotherapy 18F-FDG PET/CT is a predictor for complete metabolic response in patients with non-small cell lung cancer. Medicine (Baltimore) 2022; 101:e29227. [PMID: 35608423 PMCID: PMC9276134 DOI: 10.1097/md.0000000000029227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 03/15/2022] [Indexed: 01/04/2023] Open
Abstract
To investigate necrosis on pre-radiotherapy (RT) 18F-FDG PET/CT (PETNECROSİS) as a predictor of complete metabolic response (CMR) in patients with non-small cell lung cancer (NSCLC).We evaluated patients with inoperable stage I-III NSCLC who underwent pre- and post-radiotherapy 18F-FDG PET/CT. The relationship between CMR and PETNECROSIS, SUVmax, gross tumor volume calculated with 18F-FDG PET/CT (GTVPET-CT), tumor size, histology, metabolic tumor volume (MTV), and RT dose was assessed using logistic regression analysis. To evaluate necrosis on 18F FDG PET/CT, we drew a region of interest (ROI) in the area showing visually very low/or no fluorodeoxyglucose (FDG) uptake on PET images. If the SUVmax was lower than the blood pool SUVmax and showed significantly lower attenuation (10-30 Hounsfield units [HU]) from the surrounding tissue on non-intravenous contrast-enhanced low-dose correlative CT, we defined it as necrotic (PETNECROSİS).Fifty-three patients were included in this study. The mean age was 68.1 ± 9.8 years. Twenty-one patients had adenocarcinoma, and 32 had squamous cell carcinoma. All parameters were independent of histologic status. Multivariate logistic regression analysis showed that SUVmax ≤11.6 vs >11.6, (P = .003; OR, 7.670, 95CI%: 2.013-29.231) and PETNECROSİS absence/presence were independent predictors for CMR (P = .028, OR: 6.704, 95CI% 1.214-30.394).The necrosis on 18F FDG PET/CT and SUVmax > 11.6 could be an imaging marker for the complete metabolic response after definitive chemoradiotherapy or definitive RT alone in patients with NSCLC.
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Affiliation(s)
- Gülnihan Eren
- Department of Radiation Oncology, Recep Tayyip Erdoğan University, Faculty of Medicine, Rize, Turkey
| | - Osman Kupik
- Department of Nuclear Medicine, Recep Tayyip Erdoğan University, Faculty of Medicine, Rize, Turkey
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Eze C, Schmidt-Hegemann NS, Sawicki LM, Kirchner J, Roengvoraphoj O, Käsmann L, Mittlmeier LM, Kunz WG, Tufman A, Dinkel J, Ricke J, Belka C, Manapov F, Unterrainer M. PET/CT imaging for evaluation of multimodal treatment efficacy and toxicity in advanced NSCLC-current state and future directions. Eur J Nucl Med Mol Imaging 2021; 48:3975-3989. [PMID: 33760957 PMCID: PMC8484219 DOI: 10.1007/s00259-021-05211-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 01/18/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE The advent of immune checkpoint inhibitors (ICIs) has revolutionized the treatment of advanced NSCLC, leading to a string of approvals in recent years. Herein, a narrative review on the role of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) in the ever-evolving treatment landscape of advanced NSCLC is presented. METHODS This comprehensive review will begin with an introduction into current treatment paradigms incorporating ICIs; the evolution of CT-based criteria; moving onto novel phenomena observed with ICIs and the current state of hybrid imaging for diagnosis, treatment planning, evaluation of treatment efficacy and toxicity in advanced NSCLC, also taking into consideration its limitations and future directions. CONCLUSIONS The advent of ICIs marks the dawn of a new era bringing forth new challenges particularly vis-à-vis treatment response assessment and observation of novel phenomena accompanied by novel systemic side effects. While FDG PET/CT is widely adopted for tumor volume delineation in locally advanced disease, response assessment to immunotherapy based on current criteria is of high clinical value but has its inherent limitations. In recent years, modifications of established (PET)/CT criteria have been proposed to provide more refined approaches towards response evaluation. Not only a comprehensive inclusion of PET-based response criteria in prospective randomized controlled trials, but also a general harmonization within the variety of PET-based response criteria is pertinent to strengthen clinical implementation and widespread use of hybrid imaging for response assessment in NSCLC.
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Affiliation(s)
- Chukwuka Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
| | | | - Lino Morris Sawicki
- Medical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, D-40225, Dusseldorf, Germany
| | - Julian Kirchner
- Medical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, D-40225, Dusseldorf, Germany
| | - Olarn Roengvoraphoj
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Lukas Käsmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Lena M Mittlmeier
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Amanda Tufman
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Division of Respiratory Medicine and Thoracic Oncology, Department of Internal Medicine V, Thoracic Oncology Center Munich, University of Munich (LMU), Munich, Germany
| | - Julien Dinkel
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, Asklepios Lung Center Munich-Gauting, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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Differential role of residual metabolic tumor volume in inoperable stage III NSCLC after chemoradiotherapy ± immune checkpoint inhibition. Eur J Nucl Med Mol Imaging 2021; 49:1407-1416. [PMID: 34664091 PMCID: PMC8921088 DOI: 10.1007/s00259-021-05584-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 10/09/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND The PET-derived metabolic tumor volume (MTV) is an independent prognosticator in non-small cell lung cancer (NSCLC) patients. We analyzed the prognostic value of residual MTV (rMTV) after completion of chemoradiotherapy (CRT) in inoperable stage III NSCLC patients with and without immune checkpoint inhibition (ICI). METHODS Fifty-six inoperable stage III NSCLC patients (16 female, median 65.0 years) underwent 18F-FDG PET/CT after completion of standard CRT. rMTV was delineated on 18F-FDG PET/CT using a standard threshold (liver SUVmean + 2 × standard deviation). 21/56 patients underwent additional ICI (CRT-IO, 21/56 patients) thereafter. Patients were divided in volumetric subgroups using median split dichotomization (MTV ≤ 4.3 ml vs. > 4.3 ml). rMTV, clinical features, and ICI-application were correlated with clinical outcome parameters (progression-free survival (PFS), local PFS (LPFS), and overall survival (OS). RESULTS Overall, median follow-up was 52.0 months. Smaller rMTV was associated with longer median PFS (29.3 vs. 10.5 months, p = 0.015), LPFS (49.9 vs. 13.5 months, p = 0.001), and OS (63.0 vs. 23.0 months, p = 0.003). CRT-IO patients compared to CRT patients showed significantly longer median PFS (29.3 vs. 11.2 months, p = 0.034), LPFS (median not reached vs. 14.0 months, p = 0.016), and OS (median not reached vs. 25.2 months, p = 0.007). In the CRT subgroup, smaller rMTV was associated with longer median PFS (33.5 vs. 8.6 months, p = 0.001), LPFS (49.9 vs. 10.1 months, p = 0.001), and OS (63.0 vs. 16.3 months, p = 0.004). In the CRT-IO subgroup, neither PFS, LPFS, nor OS were associated with MTV (p > 0.05 each). The findings were confirmed in subsequent multivariate analyses. CONCLUSION In stage III NSCLC, smaller rMTV is highly associated with superior clinical outcome, especially in patients undergoing CRT without ICI. Patients with CRT-IO show significantly improved outcome compared to CRT patients. Of note, clinical outcome in CRT-IO patients is independent of residual MTV. Hence, even patients with large rMTV might profit from ICI despite extensive tumor load.
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Bissonnette JP, Sun A, Grills IS, Almahariq MF, Geiger G, Vogel W, Sonke JJ, Everitt S, Manus MM. Non-small cell lung cancer stage migration as a function of wait times from diagnostic imaging: A pooled analysis from five international centres. Lung Cancer 2021; 155:136-143. [PMID: 33819859 DOI: 10.1016/j.lungcan.2021.03.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/10/2021] [Accepted: 03/21/2021] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Patients with non-small cell lung cancer (NSCLC) can experience rapid disease progression between initial staging FDG-PET scans and commencement of curative-intent radiotherapy (RT). Previous studies that estimated stage migration rates by comparing staging PET/CT and treatment-planning PET/CT images were limited by small sample sizes. METHODS This multicenter, international study combined prospective data from five institutions for PET-staged patients with NSCLC who were intended to receive curative-intent RT. TNM status was compared for staging and RT planning scans and the probability of TNM status and overall stage migration was analyzed as a function of the interval between PET/CT scans. The impacts of N classification, overall stage, and pathology were also studied. RESULTS Pooled data from 181 patients were analyzed. The median interval between PET/CT scans was 42 days (range, 2-208). Upstaging occurred in 32 % of patients. The overall rate of stage migration was higher for patients presenting with initial stage IIIB/IIIC disease (p = 0.006) and patients with N2-3 nodal disease (p = 0.019). Upstaging to M1 disease was significantly associated with initial stage IIIB/IIIC disease (HR = 15.2) and adenocarcinoma (HR = 10) histology. CONCLUSION Longer intervals between imaging and treatment in patients with NSCLC were associated with high rates disease progression with consequent risks of geographic miss in RT planning and futile treatment in patients with M1 disease. Patients with more extensive initial nodal involvement and those with adenocarcinoma had the highest rates of stage migration. Dedicated RT planning PET/CT imaging is recommended, especially if >3 weeks have elapsed after initial staging.
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Affiliation(s)
- Jean-Pierre Bissonnette
- Department of Medical Physics, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology and Department of Medical Biophysics, University of Toronto, Techna Institute, Toronto, Ontario, Canada; Department of Radiation Oncology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Radiation Oncology, Toronto, Ontario, Canada. https://twitter.com/@JeanPierreBiss2
| | - Alexander Sun
- Department of Radiation Oncology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Radiation Oncology, Toronto, Ontario, Canada
| | - Inga S Grills
- Department of Radiation Oncology, Beaumont Hospitals, Royal Oak, MI, United States
| | - Muayad F Almahariq
- Department of Radiation Oncology, Beaumont Hospitals, Royal Oak, MI, United States
| | - Geoffrey Geiger
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Wouter Vogel
- Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Nuclear Medicine, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Jan-Jakob Sonke
- Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sarah Everitt
- Department of Radiation Therapy, Peter MacCallum Cancer Centre, Melbourne, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Michael Mac Manus
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia; Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
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Binkley MS, Jeon YJ, Nesselbush M, Moding EJ, Nabet BY, Almanza D, Kunder C, Stehr H, Yoo CH, Rhee S, Xiang M, Chabon JJ, Hamilton E, Kurtz DM, Gojenola L, Owen SG, Ko RB, Shin JH, Maxim PG, Lui NS, Backhus LM, Berry MF, Shrager JB, Ramchandran KJ, Padda SK, Das M, Neal JW, Wakelee HA, Alizadeh AA, Loo BW, Diehn M. KEAP1/NFE2L2 Mutations Predict Lung Cancer Radiation Resistance That Can Be Targeted by Glutaminase Inhibition. Cancer Discov 2020; 10:1826-1841. [PMID: 33071215 PMCID: PMC7710558 DOI: 10.1158/2159-8290.cd-20-0282] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 08/12/2020] [Accepted: 09/16/2020] [Indexed: 11/16/2022]
Abstract
Tumor genotyping is not routinely performed in localized non-small cell lung cancer (NSCLC) due to lack of associations of mutations with outcome. Here, we analyze 232 consecutive patients with localized NSCLC and demonstrate that KEAP1 and NFE2L2 mutations are predictive of high rates of local recurrence (LR) after radiotherapy but not surgery. Half of LRs occurred in tumors with KEAP1/NFE2L2 mutations, indicating that they are major molecular drivers of clinical radioresistance. Next, we functionally evaluate KEAP1/NFE2L2 mutations in our radiotherapy cohort and demonstrate that only pathogenic mutations are associated with radioresistance. Furthermore, expression of NFE2L2 target genes does not predict LR, underscoring the utility of tumor genotyping. Finally, we show that glutaminase inhibition preferentially radiosensitizes KEAP1-mutant cells via depletion of glutathione and increased radiation-induced DNA damage. Our findings suggest that genotyping for KEAP1/NFE2L2 mutations could facilitate treatment personalization and provide a potential strategy for overcoming radioresistance conferred by these mutations. SIGNIFICANCE: This study shows that mutations in KEAP1 and NFE2L2 predict for LR after radiotherapy but not surgery in patients with NSCLC. Approximately half of all LRs are associated with these mutations and glutaminase inhibition may allow personalized radiosensitization of KEAP1/NFE2L2-mutant tumors.This article is highlighted in the In This Issue feature, p. 1775.
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Affiliation(s)
- Michael S Binkley
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Young-Jun Jeon
- Stanford Cancer Institute, Stanford, California
- Department of Integrative Biotechnology, Sungkyunkwan University, Suwon, Republic of Korea
| | | | - Everett J Moding
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Barzin Y Nabet
- Department of Radiation Oncology, Stanford University, Stanford, California
- Stanford Cancer Institute, Stanford, California
| | - Diego Almanza
- Cancer Biology Program, Stanford University, Stanford, California
| | - Christian Kunder
- Department of Pathology, Stanford University, Stanford, California
| | - Henning Stehr
- Department of Pathology, Stanford University, Stanford, California
| | - Christopher H Yoo
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Siyeon Rhee
- Department of Biology, Stanford University, Stanford, California
| | - Michael Xiang
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, California
| | | | - Emily Hamilton
- Cancer Biology Program, Stanford University, Stanford, California
| | - David M Kurtz
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California
| | - Linda Gojenola
- Department of Pathology, Stanford University, Stanford, California
| | - Susie Grant Owen
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Ryan B Ko
- Department of Radiation Oncology, Stanford University, Stanford, California
| | | | - Peter G Maxim
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Natalie S Lui
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Leah M Backhus
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Mark F Berry
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Joseph B Shrager
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, California
| | - Kavitha J Ramchandran
- Stanford Cancer Institute, Stanford, California
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California
| | - Sukhmani K Padda
- Stanford Cancer Institute, Stanford, California
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California
| | - Millie Das
- Stanford Cancer Institute, Stanford, California
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California
| | - Joel W Neal
- Stanford Cancer Institute, Stanford, California
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California
| | - Heather A Wakelee
- Stanford Cancer Institute, Stanford, California
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California
| | - Ash A Alizadeh
- Stanford Cancer Institute, Stanford, California
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California
| | - Billy W Loo
- Department of Radiation Oncology, Stanford University, Stanford, California
- Stanford Cancer Institute, Stanford, California
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University, Stanford, California.
- Stanford Cancer Institute, Stanford, California
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
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10
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Brodin NP, Tomé WA, Abraham T, Ohri N. 18F-Fluorodeoxyglucose PET in Locally Advanced Non-small Cell Lung Cancer: From Predicting Outcomes to Guiding Therapy. PET Clin 2020; 15:55-63. [PMID: 31735302 DOI: 10.1016/j.cpet.2019.08.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
PET using 18-fluorodeoxyglucose (FDG) has become an important part of the work-up for non-small cell lung cancer (NSCLC). This article summarizes advancements in using FDG-PET for patients with locally advanced NSCLC treated with definitive radiation therapy (RT). This article discusses prognostication of outcome based on pretreatment or midtreatment PET metrics, using textural image features to predict treatment outcomes, and using PET to define RT target volumes and inform RT dose modifications. The role of PET is evolving and is moving toward using quantitative image information, with the overarching goal of individualizing therapy to improve outcomes for patients with NSCLC.
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Affiliation(s)
- N Patrik Brodin
- Institute for Onco-Physics, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Radiation Oncology, Montefiore Medical Center, Bronx, NY 10461, USA.
| | - Wolfgang A Tomé
- Institute for Onco-Physics, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Radiation Oncology, Montefiore Medical Center, Bronx, NY 10461, USA; Department of Neurology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Tony Abraham
- Department of Radiology (Nuclear Medicine), Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Nitin Ohri
- Institute for Onco-Physics, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Radiation Oncology, Montefiore Medical Center, Bronx, NY 10461, USA
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11
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Binkley MS, Koenig JL, Kashyap M, Xiang M, Liu Y, Sodji Q, Maxim PG, Diehn M, Loo BW, Gensheimer MF. Predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume. Radiat Oncol 2020; 15:114. [PMID: 32429982 PMCID: PMC7238662 DOI: 10.1186/s13014-020-01546-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 04/22/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We evaluated whether pre- and mid-treatment metabolic tumor volume (MTV) predicts per lesion local recurrence (LR) in patients treated with definitive radiation therapy (RT, dose≥60 Gy) for locally advanced non-small cell lung cancer (NSCLC). METHODS We retrospectively reviewed records of patients with stage III NSCLC treated from 2006 to 2018 with pre- and mid-RT PET-CT. We measured the MTV of treated lesions on the pre-RT (MTVpre) and mid-RT (MTVmid) PET-CT. LR was defined per lesion as recurrence within the planning target volume. Receiver operating characteristic (ROC) curves, cumulative incidence rates, and uni- and multivariable (MVA) competing risk regressions were used to evaluate the association between MTV and LR. RESULTS We identified 111 patients with 387 lesions (112 lung tumors and 275 lymph nodes). Median age was 68 years, 69.4% were male, 46.8% had adenocarcinoma, 39.6% had squamous cell carcinoma, and 95.5% received concurrent chemotherapy. Median follow-up was 38.7 months. 3-year overall survival was 42.3%. 3-year cumulative incidence of LR was 26.8% per patient and 11.9% per lesion. Both MTVpre and MTVmid were predictive of LR by ROC (AUC = 0.71 and 0.76, respectively) and were significantly associated with LR on MVA (P = 0.004 and P = 7.1e-5, respectively). Among lesions at lower risk of LR based on MTVpre, higher MTVmid was associated with LR (P = 0.001). CONCLUSION Per-lesion, larger MTVpre and MTVmid predicted for increased risk of LR. MTVmid was more highly predictive of LR than MTVpre and if validated may allow for further discrimination of high-risk lesions at mid-RT informing dose painting strategies.
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Affiliation(s)
- Michael S Binkley
- Department of Radiation Oncology, Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Dr MC 5847, Stanford, CA, 94305, USA
| | - Julie L Koenig
- Department of Radiation Oncology, Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Dr MC 5847, Stanford, CA, 94305, USA
| | - Mehr Kashyap
- Department of Radiation Oncology, Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Dr MC 5847, Stanford, CA, 94305, USA
| | - Michael Xiang
- Department of Radiation Oncology, Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Dr MC 5847, Stanford, CA, 94305, USA
| | - Yufei Liu
- Department of Radiation Oncology, Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Dr MC 5847, Stanford, CA, 94305, USA
| | - Quaovi Sodji
- Department of Radiation Oncology, Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Dr MC 5847, Stanford, CA, 94305, USA
| | - Peter G Maxim
- Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Dr MC 5847, Stanford, CA, 94305, USA.
- Institute for Stem Cell Biology & Regenerative Medicine, Stanford University School of Medicine, Stanford, California, USA.
| | - Billy W Loo
- Department of Radiation Oncology, Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Dr MC 5847, Stanford, CA, 94305, USA.
| | - Michael F Gensheimer
- Department of Radiation Oncology, Stanford University School of Medicine and Stanford Cancer Institute, 875 Blake Wilbur Dr MC 5847, Stanford, CA, 94305, USA.
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12
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Unterrainer M, Eze C, Ilhan H, Marschner S, Roengvoraphoj O, Schmidt-Hegemann NS, Walter F, Kunz WG, Rosenschöld PMA, Jeraj R, Albert NL, Grosu AL, Niyazi M, Bartenstein P, Belka C. Recent advances of PET imaging in clinical radiation oncology. Radiat Oncol 2020; 15:88. [PMID: 32317029 PMCID: PMC7171749 DOI: 10.1186/s13014-020-01519-1] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 03/19/2020] [Indexed: 12/25/2022] Open
Abstract
Radiotherapy and radiation oncology play a key role in the clinical management of patients suffering from oncological diseases. In clinical routine, anatomic imaging such as contrast-enhanced CT and MRI are widely available and are usually used to improve the target volume delineation for subsequent radiotherapy. Moreover, these modalities are also used for treatment monitoring after radiotherapy. However, some diagnostic questions cannot be sufficiently addressed by the mere use standard morphological imaging. Therefore, positron emission tomography (PET) imaging gains increasing clinical significance in the management of oncological patients undergoing radiotherapy, as PET allows the visualization and quantification of tumoral features on a molecular level beyond the mere morphological extent shown by conventional imaging, such as tumor metabolism or receptor expression. The tumor metabolism or receptor expression information derived from PET can be used as tool for visualization of tumor extent, for assessing response during and after therapy, for prediction of patterns of failure and for definition of the volume in need of dose-escalation. This review focuses on recent and current advances of PET imaging within the field of clinical radiotherapy / radiation oncology in several oncological entities (neuro-oncology, head & neck cancer, lung cancer, gastrointestinal tumors and prostate cancer) with particular emphasis on radiotherapy planning, response assessment after radiotherapy and prognostication.
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Affiliation(s)
- M Unterrainer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. .,Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. .,German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - C Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - H Ilhan
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - S Marschner
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - O Roengvoraphoj
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - N S Schmidt-Hegemann
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - F Walter
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - W G Kunz
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - P Munck Af Rosenschöld
- Radiation Physics, Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, and Lund University, Lund, Sweden
| | - R Jeraj
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA
| | - N L Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - A L Grosu
- Department of Radiation Oncology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), partner Site Freiburg, Freiburg, Germany
| | - M Niyazi
- German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - P Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - C Belka
- German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
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13
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Lacoppidan T, Vogelius IR, Pøhl M, Strange M, Persson GF, Nygård L. An investigative expansion of a competing risk model for first failure site in locally advanced non-small cell lung cancer. Acta Oncol 2019; 58:1386-1392. [PMID: 31271118 DOI: 10.1080/0284186x.2019.1631475] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Introduction: We hypothesized that gross tumor volume (GTV) of primary tumor (GTVT) and nodal volumes (GTVN) were predictors of first failure site in non-small cell lung cancer (NSCLC). We aimed at also comparing the prognostic model's complexity to its ability to generate absolute risk predictions with emphasis on variables available at the time of diagnosis. Materials and methods: Three hundred and forty-two patients treated with definitive chemoradiotherapy (CRT) for adenocarcinoma (AC) or squamous cell carcinoma (SCC) in 2009-2017 were analyzed. Clinical data, standardized uptake values on FDG-PET/CT, GTVT and GTVN were analyzed using multivariate competing risk models. Results: One hundred and thirty-seven patients had SCC. As first site of failure 49 had locoregional failure (LRF), 40 had distant metastasis (DM) and 24 died with no evidence of disease (NED). In 205 patients with AC, 34 had LRF, 118 had DM as first failure site and 17 died with NED. Performance status predicted LRF (p = .02) and UICC stage risk of DM (p = .05 for stage 3, p < .001 for stage 4). Adding histopathology changed predictions with much reduced risk of LRF in AC compared to SCC (HR = 0.5, 95% CI: (0.3-0.75), p = .001). Conversely, AC had a higher rate of DM than SCC (HR = 2.1, 95% CI: (1.5-3.0], p < .001). Addition of FDG metrics and tumor/nodal volume data predicted DM risk (p = .001), but with smaller impact on absolute risk compared to histopathology. Separation of GTV in nodal and tumor lesions did not improve risk predictions. Conclusions: We quantified the effect of adding volumetric and quantitative imaging to competing risk models of first failure site, but did not find tumor volume components to be important. Histopathology remains the simplest and most important factor in prognosticating failure patterns in NSCLC.
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Affiliation(s)
- Thomas Lacoppidan
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Ivan R. Vogelius
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, Copenhagen University, Denmark
| | - Mette Pøhl
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Malene Strange
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Gitte F. Persson
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, Copenhagen University, Denmark
- Department of Oncology, Herlev-Gentofte Hospital, Copenhagen University, Herlev, Denmark
| | - Lotte Nygård
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
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14
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Bowen SR, Hippe DS, Chaovalitwongse WA, Duan C, Thammasorn P, Liu X, Miyaoka RS, Vesselle HJ, Kinahan PE, Rengan R, Zeng J. Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging. Clin Cancer Res 2019; 25:5027-5037. [PMID: 31142507 DOI: 10.1158/1078-0432.ccr-18-3908] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 03/28/2019] [Accepted: 05/17/2019] [Indexed: 12/25/2022]
Abstract
PURPOSE Prediction of spatially variant response to cancer therapies can inform risk-adaptive management within precision oncology. We developed the "Voxel Forecast" multiscale regression framework for predicting spatially variant tumor response to chemoradiotherapy on fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) imaging. EXPERIMENTAL DESIGN Twenty-five patients with locally advanced non-small cell lung cancer, enrolled on the FLARE-RT phase II trial (NCT02773238), underwent FDG PET/CT imaging prior to (PETpre) and during week 3 (PETmid) of concurrent chemoradiotherapy. Voxel Forecast was designed to predict tumor voxel standardized uptake value (SUV) on PETmid from baseline patient-level and voxel-level covariates using a custom generalized least squares (GLS) algorithm. Matérn covariance matrices were fit to patient- specific empirical variograms of distance-dependent intervoxel correlation. Regression coefficients from variogram-based weights and corresponding standard errors were estimated using the jackknife technique. The framework was validated using statistical simulations of known spatially variant tumor response. Mean absolute prediction errors (MAEs) of Voxel Forecast models were calculated under leave-one-patient-out cross-validation. RESULTS Patient-level forecasts resulted in tumor voxel SUV MAE on PETmid of 1.5 g/mL while combined patient- and voxel-level forecasts achieved lower MAE of 1.0 g/mL (P < 0.0001). PETpre voxel SUV was the most important predictor of PETmid voxel SUV. Patients with a greater percentage of under-responding tumor voxels were classified as PETmid nonresponders (P = 0.030) with worse overall survival prognosis (P < 0.001). CONCLUSIONS Voxel Forecast multiscale regression provides a statistical framework to predict voxel-wise response patterns during therapy. Voxel Forecast can be extended to predict spatially variant response on multimodal quantitative imaging and may eventually guide optimized spatial-temporal dose distributions for precision cancer therapy.
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Affiliation(s)
- Stephen R Bowen
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington. .,Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington
| | - Daniel S Hippe
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington
| | - W Art Chaovalitwongse
- Department of Industrial Engineering, University of Arkansas, Fayetteville, Arkansas
| | - Chunyan Duan
- Department of Industrial Engineering, University of Arkansas, Fayetteville, Arkansas.,Department of Management Science and Engineering, Tongji University, Shanghai, China
| | - Phawis Thammasorn
- Department of Industrial Engineering, University of Arkansas, Fayetteville, Arkansas
| | - Xiao Liu
- Department of Industrial Engineering, University of Arkansas, Fayetteville, Arkansas
| | - Robert S Miyaoka
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington
| | - Hubert J Vesselle
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington
| | - Paul E Kinahan
- Department of Radiology, University of Washington School of Medicine, Seattle, Washington
| | - Ramesh Rengan
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington
| | - Jing Zeng
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington
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15
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How much primary tumor metabolic volume reduction is required to improve outcome in stage III NSCLC after chemoradiotherapy? A single-centre experience. Eur J Nucl Med Mol Imaging 2018; 45:2103-2109. [DOI: 10.1007/s00259-018-4063-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 05/27/2018] [Indexed: 12/28/2022]
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16
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Bissonnette JP, Yap ML, Clarke K, Shessel A, Higgins J, Vines D, Atenafu EG, Becker N, Leavens C, Bezjak A, Jaffray DA, Sun A. Serial 4DCT/4DPET imaging to predict and monitor response for locally-advanced non-small cell lung cancer chemo-radiotherapy. Radiother Oncol 2018; 126:347-354. [DOI: 10.1016/j.radonc.2017.11.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 11/07/2017] [Accepted: 11/27/2017] [Indexed: 12/12/2022]
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17
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Roengvoraphoj O, Wijaya C, Eze C, Li M, Dantes M, Taugner J, Tufman A, Huber RM, Belka C, Manapov F. Analysis of primary tumor metabolic volume during chemoradiotherapy in locally advanced non-small cell lung cancer. Strahlenther Onkol 2017; 194:107-115. [PMID: 29116336 DOI: 10.1007/s00066-017-1229-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2017] [Accepted: 10/13/2017] [Indexed: 12/13/2022]
Abstract
PURPOSE Positron emission tomography with 2‑deoxy-2-[fluorine-18] fluoro-d-glucose integrated with computed tomography (18F-FDG-PET/CT) has an established role in the initial diagnosis and staging of lung cancer. However, a prognostic value of PET/CT during multimodality treatment has not yet been fully clarified. This study evaluated the role of primary tumor metabolic volume (PT-MV) changes on PET/CT before, during, and after chemoradiotherapy (CRT). METHODS A total of 65 patients with non-small-cell lung cancer (NSCLC) UICC stage IIIA/B (TNM 7th Edition) were treated with definitive chemoradiotherapy (sequential or concurrent setting). PET/CT was acquired before the start, at the end of the third week, and 6 weeks following CRT. RESULTS Median overall survival (OS) for the entire cohort was 16 months (95% confidence interval [CI]: 12-20). In all, 60 (92.3%) patients were eligible for pre-treatment (pre-PT-MV), 28 (43%) for mid-treatment (mid-PT-MV), and 53 (81.5%) for post-treatment (post-PT-MV) volume analysis. Patients with pre-PT-MV >63 cm3 had worse OS (p < 0.0001). A reduction from mid-PT-MV to post-PT-MV of >15% improved OS (p = 0.001). In addition, patients with post-PT-MV > 25 cm3 had significantly worse outcome (p = 0.001). On multivariate analysis, performance status (p = 0.002, hazard ratio [HR] 0.007; 95% CI 0.00-0.158), pre-PT-MV1 < 63 cm3 (p = 0.027, HR 3.98; 95% CI 1.17-13.49), post-PT-MV < 25 cm3 (p = 0.013, HR 11.90; 95% CI 1.70-83.27), and a reduction from mid-PT-MV to post-PT-MV > 15% (p = 0.004, HR 0.25; 95% CI 0.02-0.31) correlated with improved OS. CONCLUSIONS Our results demonstrated that pre- and post-treatment PT-MV, as well as an at least 15% reduction in mid- to post-PT-MV, significantly correlates with OS in patients with inoperable locally advanced NSCLC.
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Affiliation(s)
- Olarn Roengvoraphoj
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
| | - Cherylina Wijaya
- Department of Pulmonology, Asklepios Fachkliniken München-Gauting, Munich, Germany
| | - Chukwuka Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Minglun Li
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Maurice Dantes
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Julian Taugner
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Amanda Tufman
- Respiratory Medicine and Thoracic Oncology, Internal Medicine V, Ludwig-Maximilians-University of Munich and Thoracic Oncology Centre Munich, Ziemssenstraße 1, 80336, Munich, Germany
- members of the German Centre for Lung Research (DZL CPC-M), -, Germany
| | - Rudolf Maria Huber
- Respiratory Medicine and Thoracic Oncology, Internal Medicine V, Ludwig-Maximilians-University of Munich and Thoracic Oncology Centre Munich, Ziemssenstraße 1, 80336, Munich, Germany
- members of the German Centre for Lung Research (DZL CPC-M), -, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
- members of the German Centre for Lung Research (DZL CPC-M), -, Germany
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
- members of the German Centre for Lung Research (DZL CPC-M), -, Germany
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18
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Ohri N, Bodner WR, Kabarriti R, Shankar V, Cheng H, Abraham T, Halmos B, Gucalp R, Perez-Soler R, Kalnicki S, Garg M. Positron Emission Tomography-Adjusted Intensity Modulated Radiation Therapy for Locally Advanced Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2017; 102:709-715. [PMID: 29249527 DOI: 10.1016/j.ijrobp.2017.10.032] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 09/18/2017] [Accepted: 10/17/2017] [Indexed: 12/13/2022]
Abstract
PURPOSE To perform a prospective trial examining positron emission tomography (PET)-based, dose-painted intensity modulated radiation therapy (IMRT) in the setting of locally advanced non-small cell lung cancer (NSCLC). METHODS AND MATERIALS Patients with stage IIB-III NSCLC were treated with 25 fractions of dose-painted IMRT. Tumors or lymph nodes with metabolic tumor volume exceeding 25 cm3 were deemed "high risk" and received 65 Gy. Smaller lesions were treated with 57 Gy or 52.5 Gy (after November 2014). Patients received concurrent weekly carboplatin (area under the curve = 2) and paclitaxel (45 mg/m2). The primary study endpoint was the absence of high residual metabolic activity (maximum standardized uptake value > 6) in treated lesions on PET 12 to 16 weeks after completion of IMRT. RESULTS Thirty-five subjects with 116 hypermetabolic lesions were eligible for analysis. The primary endpoint was met for 24 of 30 patients (80%) who underwent posttreatment PET, satisfying our efficacy objective. With a median follow-up duration of 23.8 months for living patients, progression in a lesion targeted with radiation therapy has been observed in 5 patients (14%). Treating progression in other sites and death without progression as competing risks, 2-year cumulative incidence rates of local disease progression in high-risk lesions (n=24) and low-risk lesions (n=92) are 9% and 3%, respectively. The actuarial rate of overall survival at 2 years is 52%. CONCLUSIONS Dose-painted IMRT based on pretreatment PET metrics with concurrent chemotherapy yields high rates of metabolic response and local disease control for locally advanced NSCLC. Future trials should test this approach to maximize the therapeutic ratio of thoracic radiation therapy.
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Affiliation(s)
- Nitin Ohri
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York.
| | - William R Bodner
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Rafi Kabarriti
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Viswanathan Shankar
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Haiying Cheng
- Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Tony Abraham
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Balazs Halmos
- Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Rasim Gucalp
- Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Roman Perez-Soler
- Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Shalom Kalnicki
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Madhur Garg
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
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Ohri N. Radiotherapy Dosing for Locally Advanced Non-Small Cell Lung Carcinoma: "MTD" or "ALARA"? Front Oncol 2017; 7:205. [PMID: 28983464 PMCID: PMC5613081 DOI: 10.3389/fonc.2017.00205] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 08/23/2017] [Indexed: 12/25/2022] Open
Abstract
Locally advanced non-small cell lung cancer (LA-NSCLC) is typically treated with thoracic radiotherapy, often in combination with cytotoxic chemotherapy. Despite tremendous advances in the evaluation, treatment techniques, and supportive care measures provided to LA-NSCLC patients, local disease progression and distant metastases frequently develop following definitive therapy. A recent landmark randomized trial demonstrated that radiotherapy dose escalation may reduce survival rates, highlighting our poor understanding of the effects of thoracic radiotherapy for LA-NSCLC. Here, we present rationale for further studies of radiotherapy dose escalation as well as arguments for exploring relatively low radiotherapy doses for LA-NSCLC.
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Affiliation(s)
- Nitin Ohri
- Radiation Oncology, Albert Einstein College of Medicine, The Bronx, NY, United States
- Radiation Oncology, Montefiore Medical Center, The Bronx, NY, United States
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