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Barrett S, Zahid MU, Enderling H, Marignol L. Predicting Individual Tumor Response Dynamics in Locally Advanced Non-Small Cell Lung Cancer Radiation Therapy: A Mathematical Modelling Study. Int J Radiat Oncol Biol Phys 2025; 121:1077-1087. [PMID: 39641707 DOI: 10.1016/j.ijrobp.2024.10.038] [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: 03/21/2024] [Revised: 09/05/2024] [Accepted: 10/28/2024] [Indexed: 12/07/2024]
Abstract
PURPOSE To predict individual tumor responses to radiation therapy (RT) in non-small cell lung cancer. MATERIALS AND METHODS The proliferation saturation index (PSI) model, which models tumor dynamics in response to RT as an instantaneous reduction in tumor volume, was fit to n = 162 patients with 4 distinct dose fractionation schedules (30-32 fractions × 2 Gy, 23-24 fractions × 2.75 Gy, 32-42 fractions × 1.8 Gy, and 30 fractions × 1.5 Gy Bidaily, followed by 5-12 fractions × 2 Gy daily). Following initial training, the predictive power of the model was tested using only the first 3 tumor volume measurements as measured on daily imaging. The remainder of tumor volume regression during RT was simulated using the PSI model. Comparisons of the measured to the simulated volumes were made using scatter plots, coefficient of determination (R2), and Pearson correlation coefficient values. RESULTS The PSI model predicted tumor volume regression during RT with a high degree of accuracy. Comparison of the measured versus predicted volumes resulted in R2 values of 0.968, 0.954, 0.968, and 0.937, and Pearson correlation coefficient values of 0.984, 0.977, 0.984, and 0.968 in the 2 Gy, 1.8 Gy, 2.75 Gy, and Bidaily groups, respectively. CONCLUSIONS The proliferation saturation model can predict, with a high degree of accuracy, non-small cell lung cancer tumor volume regression in response to RT in 4 distinct dose fractionation schedules.
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Affiliation(s)
- Sarah Barrett
- Applied Radiation Therapy Trinity, Trinity St. James's Cancer Institute, Discipline of Radiation Therapy, Trinity College, Dublin, Ireland.
| | - Mohammad U Zahid
- Department of Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Heiko Enderling
- Department of Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Laure Marignol
- Applied Radiation Therapy Trinity, Trinity St. James's Cancer Institute, Discipline of Radiation Therapy, Trinity College, Dublin, Ireland
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Trommer S, Müller JA, Oertel M, Ehret F, Roohani S, Ha HM, Ha QN, Hering K, Nägler F, Lange T, Mäurer M, Weissmann T, Putz F, Trommer M, Baues C, Dobiasch S, Waltenberger M, Skripcak T, Vordermark D, Medenwald D. Tumor volume change at radiation boost planning to estimate the response to chemoradiotherapy in stage III unresectable NSCLC (TORCH): a multicenter retrospective observational study. Strahlenther Onkol 2025:10.1007/s00066-025-02374-3. [PMID: 40029351 DOI: 10.1007/s00066-025-02374-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2024] [Accepted: 01/08/2025] [Indexed: 03/05/2025]
Abstract
BACKGROUND Progression-free (PFS) and overall survival (OS) in UICC stage III non-small cell lung cancer (NSCLC) after definitive concurrent chemoradiotherapy (CRT) can be increased with consolidating immunotherapy. Recent studies have shown a strong predictive value of gross tumor volume (GTV) changes during CRT on OS. The TORCH trial investigated the prognostic impact of GTV changes during CRT as a predictor for a response to immunotherapy. METHODS This retrospective non-interventional observational multicenter trial included n = 203 patients from 10 German university centers for radiation oncology with confirmed inoperable NSCLC in UICC stage III A-C. Patients had received CRT between 2015 and 2023 as a curative-intent treatment approach. Patient and tumor characteristics were collected anonymously via electronic case report forms. Initial GTVs before CRT (initial planning CT, GTV1) and at 40-50 Gy (re-planning CT for radiation boost, GTV2) were delineated. Absolute and relative GTV changes before/during CRT were correlated with OS to predict the response to CRT with sequential immunotherapy. Hazard ratios (HR) of survival analyses were estimated using adjusted Cox regression models. RESULTS The mean GTV1 before radiation therapy (RT) was 145.29 ml with the 25th, 50th, and 75th percentiles being 61.36 ml, 145.29 ml, and 204.93 ml, respectively. Before initiation of the radiation boost, the mean GTV2 was 99.58 ml, with the 25th, 50th, and 75th percentiles at 32.93 ml, 70.45 ml, and 126.85 ml. The HR for the impact of GTV1 on survival was 0.99 per ml (95% confidence interval [CI] 0.99-1.00; p = 0.49). For the absolute volume change between GTV1 and GTV2, the HR was 1.004 per ml (95% CI 0.997-1.011; p = 0.26). In a subgroup analysis of patients who were treated with durvalumab, absolute volume changes between GTV1 and GTV2 were associated with longer OS (HR = 0.955 per ml; 95% CI 0.916-0.996; p = 0.03). Overall, durvalumab treatment was positively associated with OS, demonstrating an HR of 0.454 (95% CI 0.209-0.990; p = 0.047). CONCLUSION Pretreatment GTV and absolute GTV volume changes did not significantly correlate with OS. However, the absolute volume change between the pretreatment and replanning GTV was associated with longer OS in patients treated with durvalumab. Histological subtype, grading, UICC stage, age at onset, pulmonary comorbidities, and smoking status had no significant association with OS. Durvalumab treatment was associated with improved OS.
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Affiliation(s)
- Simon Trommer
- Department of Radiation Oncology, University Hospital Halle (Saale), Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany.
| | - Jörg Andreas Müller
- Department of Radiation Oncology, University Hospital Halle (Saale), Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany.
| | - Michael Oertel
- Clinic for Radiotherapy-Radiooncology, University Hospital Münster, Münster, Germany
| | - Felix Ehret
- Clinic for Radiooncology and Radiation Therapy, Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), partner site Berlin, a partnership between DKFZ and Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Siyer Roohani
- Clinic for Radiooncology and Radiation Therapy, Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), partner site Berlin, a partnership between DKFZ and Charité-Universitätsmedizin Berlin, Berlin, Germany
- BIH Biomedical Innovation Academy, BIH Charité (Junior) Clinician Scientist Program, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Hai Minh Ha
- University Clinic for Radiation Therapy, University Hospital Magdeburg A. ö. R, Magdeburg, Germany
| | - Quynh Ngo Ha
- University Clinic for Radiation Therapy, University Hospital Magdeburg A. ö. R, Magdeburg, Germany
| | - Kathrin Hering
- Department of Radiation Oncology, University of Leipzig, Leipzig, Germany
- Comprehensive Cancer Center Central Germany (CCCG), University of Leipzig Medical Center, Leipzig, Germany
| | - Franziska Nägler
- Department of Radiation Oncology, University of Leipzig, Leipzig, Germany
- Comprehensive Cancer Center Central Germany (CCCG), University of Leipzig Medical Center, Leipzig, Germany
| | - Tim Lange
- Department of Radiotherapy, Hannover Medical School, Germany
| | - Matthias Mäurer
- Department for Radiotherapy and Radiation Oncology, University Hospital Jena, Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany
- Clinician Scientist Program OrganAge, Interdisciplinary Center for Clinical Research (IZKF), Jena University Hospital, 07747, Jena, Germany
| | - Thomas Weissmann
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Florian Putz
- Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Maike Trommer
- Department of Radiation Oncology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str, 62, 50937, Cologne, Germany
- Department of Radiation Oncology, Olivia Newton-John Cancer Wellness & Research Centre, University of Melbourne, Austin Health, 145 Studley Rd, CIV 3084, Heidelberg, Australia
| | - Christian Baues
- Department of Radiooncology, Marien Hospital Herne, University Hospital, Ruhr-University Bochum, Herne, Germany
| | - Sophie Dobiasch
- Department of Radiation Oncology and Radiotherapy at the Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, Neuherberg, Germany
- German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany German Cancer Consortium (DKTK) Dresden and German Cancer Research Center (DKFZ) Heidelberg, Munich, Germany
| | - Maria Waltenberger
- Department of Radiation Oncology and Radiotherapy at the Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany German Cancer Consortium (DKTK) Dresden and German Cancer Research Center (DKFZ) Heidelberg, Munich, Germany
| | - Tomas Skripcak
- German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany
| | - Dirk Vordermark
- Department of Radiation Oncology, University Hospital Halle (Saale), Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany
| | - Daniel Medenwald
- Department of Radiation Oncology, University Hospital Halle (Saale), Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany
- University Clinic for Radiation Therapy, University Hospital Magdeburg A. ö. R, Magdeburg, Germany
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Jongbloed M, Bortolot M, Wee L, Huijs JW, Bellezo M, Vaes RD, Aboubakar Nana F, Hartemink KJ, De Ruysscher DK, Hendriks LE. Prognostic and Predictive Biomarkers of Oligometastatic NSCLC: New Insights and Clinical Applications. JTO Clin Res Rep 2024; 5:100740. [PMID: 39735889 PMCID: PMC11671686 DOI: 10.1016/j.jtocrr.2024.100740] [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: 06/26/2024] [Revised: 09/26/2024] [Accepted: 09/29/2024] [Indexed: 12/31/2024] Open
Abstract
This review discusses the current data on predictive and prognostic biomarkers in oligometastatic NSCLC and discusses whether biomarkers identified in other stages and widespread metastatic disease can be extrapolated to the oligometastatic disease (OMD) setting. Research is underway to explore the prognostic and predictive value of biological attributes of tumor tissue, circulating cells, the tumor microenvironment, and imaging findings as biomarkers of oligometastatic NSCLC. Biomarkers that help define true OMD and predict outcomes are needed for patient selection for oligometastatic treatment, and to avoid futile treatments in patients that will not benefit from locoregional treatment. Nevertheless, these biomarkers are still in the early stages of development and lack prospective validation in clinical trials. Furthermore, the absence of a clear definition of OMD contributes to a heterogeneous study population in which different types of OMD are mixed and treatment strategies are different. Multiple tissue-based, circulating, and imaging features are promising regarding their prognostic and predictive role in NSCLC, but data is still limited and might be biased owing to the inclusion of heterogeneous patient populations. Larger homogeneous and prospective series are needed to assess the prognostic and predictive role of these biomarkers. As obtaining tissue can be difficult and is invasive, the most promising tools for further evaluation are liquid biopsies and imaging-based biomarkers as these can also be used for longitudinal follow-up.
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Affiliation(s)
- Mandy Jongbloed
- Department of Pulmonary Diseases, GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Martina Bortolot
- Department of Medicine (DMED), University of Udine, Udine, Italy
| | - Leonard Wee
- Department of Radiation Oncology (Maastro Clinic), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Jarno W.J. Huijs
- Department of Pulmonary Diseases, GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Murillo Bellezo
- Department of Radiation Oncology (Maastro Clinic), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Rianne D.W. Vaes
- Department of Radiation Oncology (Maastro Clinic), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | | | - Koen J. Hartemink
- Department of Surgery, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Thoracic Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - Dirk K.M. De Ruysscher
- Department of Radiation Oncology (Maastro Clinic), GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Lizza E.L. Hendriks
- Department of Pulmonary Diseases, GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
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Lee HI, Choi EK, Kim SS, Shin YS, Park JW, Song SY. Predictive value of primary tumor volume change during concurrent chemoradiotherapy in patients with unresectable stage III non-small cell lung cancer. Radiother Oncol 2024; 198:110383. [PMID: 38879129 DOI: 10.1016/j.radonc.2024.110383] [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: 01/19/2024] [Revised: 05/14/2024] [Accepted: 06/12/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND AND PURPOSE No established early biomarkers currently exist to predict responses during concurrent chemoradiotherapy (CCRT) in patients with unresectable non-small cell lung cancer (NSCLC). This study investigated the potential of gross tumor volume (GTV) and its changes during CCRT as predictors of survival outcomes. MATERIALS AND METHODS We identified 227 patients with unresectable stage III NSCLC who underwent definitive CCRT followed by durvalumab between November 2018 and December 2022. GTV was defined as the volume of the primary tumor, assessed at two time points: before starting CCRT for initial planning (GTV1), and at the fourth week of CCRT for adaptive planning (GTV2). Both relative and absolute regressions between GTV1 and GTV2 were calculated. RESULTS The median GTV1 volume was 90 mL (range, 5-840 mL), and the median GTV2 volume was 64 mL (range, 1-520 mL), resulting in median absolute and relative regressions of 18.6 mL and 25.0 %, respectively. Among the GTV parameters, relative GTV regression exhibited the strongest predictive value, with an area under the curve (AUC) of 0.804 for in-field progression and 0.711 for overall progression. The 1-year progression-free survival rates for the high (>30 %), intermediate (0-30 %), and low (≤0%) relative regression groups were 88.0 %, 62.6 %, and 14.3 %, respectively (p = 0.006 for high vs. intermediate; p < 0.001 for intermediate vs. low). Additionally, GTV2 volume demonstrated stronger associations with survival outcomes than GTV1 volume. CONCLUSION Relative GTV regression was identified as a promising early predictor for patients with unresectable stage III NSCLC. Further development of a multi-parametric predictive model is warranted to guide patient-tailored therapeutic approaches.
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Affiliation(s)
- Hye In Lee
- Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Eun Kyung Choi
- Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Su Ssan Kim
- Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Seob Shin
- Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jae Won Park
- Department of Radiation Oncology, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu, Republic of Korea
| | - Si Yeol Song
- Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
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Hofstetter K, Taugner J, Käsmann L, Mansoorian S, Flörsch B, Eze C, Tufman A, Reinmuth N, Duell T, Belka C, Manapov F. First-site-metastasis pattern in patients with inoperable stage III NSCLC treated with concurrent chemoradiotherapy with or without immune check-point inhibition: a retrospective analysis. Strahlenther Onkol 2024; 200:614-623. [PMID: 37975883 PMCID: PMC11186867 DOI: 10.1007/s00066-023-02175-6] [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: 05/11/2023] [Accepted: 10/22/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE The aim of this study was to investigate a first-site-metastasis pattern (FSMP) in unresectable stage III NSCLC after concurrent chemoradiotherapy (cCRT) with or without immune checkpoint inhibition (ICI). METHODS We defined three patient subgroups according to the year of initial multimodal treatment: A (2011-2014), B (2015-2017) and C (2018-2020). Different treatment-related parameters were analyzed. Observed outcome parameters were brain metastasis-free survival (BMFS), extracranial distant metastasis-free survival (ecDMFS) and distant metastasis-free survival (DMFS). RESULTS 136 patients treated between 2011 and 2020 were included with ≥ 60.0 Gy total dose and concurrent chemotherapy (cCRT); thirty-six (26%) received ICI. Median follow-up was 49.7 (range:0.7-126.1), median OS 31.2 (95% CI:16.4-30.3) months (23.4 for non-ICI vs not reached for ICI patients, p = 0.001). Median BMFS/ecDMFS/DMFS in subgroups A, B and C was 14.9/16.3/14.7 months, 20.6/12.9/12.7 months and not reached (NR)/NR/36.4 months (p = 0.004/0.001/0.016). For cCRT+ICI median BMFS was 53.1 vs. 19.1 months for cCRT alone (p = 0.005). Median ecDMFS achieved 55.2 vs. 17.9 (p = 0.003) and median DMFS 29.5 (95% CI: 1.4-57.6) vs 14.93 (95% CI:10.8-19.0) months (p = 0.031), respectively. Multivariate analysis showed that age over 65 (HR:1.629; p = 0.036), GTV ≥ 78 cc (HR: 2.100; p = 0.002) and V20 ≥ 30 (HR: 2.400; p = 0.002) were negative prognosticators for BMFS and GTV ≥ 78 cc for ecDMFS (HR: 1.739; p = 0.027). After onset of brain metastasis (BM), patients survived 13.3 (95% CI: 6.4-20.2) months and 8.6 months (95% CI: 1.6-15.5) after extracranial-distant-metastasis (ecDM). Patients with ecDM as FSMP reached significantly worse overall survival of 22.1 (range:14.4-29.8) vs. 40.1 (range:18.7-61.3) months (p = 0.034) in the rest of cohort. In contrast, BM as FSMP had no impact on OS. CONCLUSION This retrospective analysis of inoperable stage III NSCLC patients revealed that age over 65, V20 ≥ 30 and GTV ≥ 78 cc were prognosticators for BMFS and GTV ≥ 78 cc for ecDMFS. ICI treatment led to a significant improvement of BMFS, ecDMFS and DMFS. ecDM as FSMP was associated with significant deterioration of OS, whereas BM as FSMP was not.
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Affiliation(s)
- Kerstin Hofstetter
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Julian Taugner
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
| | - Lukas Käsmann
- 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
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Sina Mansoorian
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Benedikt Flörsch
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Chukwuka Eze
- Department of Radiation Oncology, 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 Centre Munich, LMU Munich, Munich, Germany
| | - Niels Reinmuth
- Asklepios Kliniken GmbH, Asklepios Fachkliniken Muenchen, Gauting, Germany
| | - Thomas Duell
- Asklepios Kliniken GmbH, Asklepios Fachkliniken Muenchen, Gauting, Germany
| | - Claus Belka
- 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
- German Cancer Consortium (DKTK), Partner Site Munich, 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
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
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Boys E, Gao B, Hui R, da Silva I, Hau E, Gee H, Nagrial A. Use of durvalumab in stage III non-small-cell lung cancer based on eligibility for the PACIFIC study. Thorac Cancer 2023; 14:563-572. [PMID: 36627112 PMCID: PMC9968599 DOI: 10.1111/1759-7714.14780] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/06/2022] [Accepted: 12/08/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Durvalumab following concurrent chemoradiotherapy is standard treatment for unresectable stage III non-small-cell lung cancer based on the results of the PACIFIC trial. Based on trial criteria, not all patients are eligible for durvalumab in routine clinical practice. METHODS We evaluated eligibility for durvalumab in a real-world clinical setting and the impact of eligibility on outcomes. Consecutive patients treated with concurrent chemoradiotherapy at two tertiary centers between January 2015 and June 2022 were assessed. Clinical characteristics and outcomes were evaluated based on eligibility criteria for the PACIFIC trial. RESULTS A total of 126 patients were included. Seventy patients (56%) were eligible for durvalumab. Ineligibility was associated with shorter progression-free survival of 9.7 months versus 18.4 months (hazard ratio [HR] 0.61, 95% confidence interval [CI] 0.39-0.95, p = 0.029) and overall survival of 26.4 months versus 58.7 months (HR 0.47, 95% CI 0.28-0.80, p = 0.005). Common reasons for ineligibility were history of previous malignancy (32%) and progressive disease or death during chemoradiotherapy (25%). Ineligible patients who received durvalumab had similar outcomes to eligible patients who received durvalumab. CONCLUSIONS In a real-world cohort, adjuvant durvalumab is safe and beneficial in a substantial proportion of patients who would not have been eligible for the PACIFIC trial.
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Affiliation(s)
- Emma Boys
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead, New South Wales, Australia.,Blacktown Cancer and Haematology Centre, Blacktown Hospital, Blacktown, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Bo Gao
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead, New South Wales, Australia.,Blacktown Cancer and Haematology Centre, Blacktown Hospital, Blacktown, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Rina Hui
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Inês da Silva
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead, New South Wales, Australia.,Blacktown Cancer and Haematology Centre, Blacktown Hospital, Blacktown, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Eric Hau
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead, New South Wales, Australia.,Blacktown Cancer and Haematology Centre, Blacktown Hospital, Blacktown, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Harriet Gee
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Adnan Nagrial
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead, New South Wales, Australia.,Blacktown Cancer and Haematology Centre, Blacktown Hospital, Blacktown, New South Wales, Australia.,Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
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7
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Ladbury C, Abuali T, Liu J, Watkins W, Du D, Massarelli E, Villaflor V, Liu A, Salgia R, Williams T, Glaser S, Amini A. Prognostic Role of Biologically Active Volume of Disease in Patients With Metastatic Lung Adenocarcinoma. Clin Lung Cancer 2023; 24:244-251. [PMID: 36759265 DOI: 10.1016/j.cllc.2023.01.001] [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: 11/22/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/22/2023]
Abstract
BACKGROUND Number of metastatic sites can identify patient populations with non-small cell lung cancer (NSCLC) that benefit from aggressive therapy. Total volume of disease is also relevant. We evaluated the prognostic impact of biologically active volume of disease (BaVD) on patients with metastatic lung adenocarcinoma. MATERIALS AND METHODS Positron emission tomography/computerized tomography (PET/CT) scans from patients with newly diagnosed lung adenocarcinoma prior to starting any therapy were identified. SUV thresholds of 3 and 4 were used to auto-contour all FDG avid areas. Kaplan-Meier analysis and Cox regression were performed to examine influence on OS. RESULTS One hundred forty-eight patients were included in the analysis. The median BaVD when using an SUV threshold of 3 was 122.8 mL. The median BaVD when using an SUV threshold of 4 was 46.2 mL When stratified by median BaVD using an SUV of 3, median OS was higher for patients with <=122.8 mL (2.12 years) compared to patients with >122.8 mL (1.46 years) (log-rank P = .001). Similarly, when stratified by median BaVD using an SUV of 4, median OS was higher for patients with <=46.2 mL (1.91 years; 95% CI: 1.65-3.22 years) compared to patients with >46.2 mL (1.48 years; 95% CI: 1.07-1.80 years) (log-rank P = .007). On multivariable analysis, BaVD was significantly associated with OS when using an SUV threshold of 3 (HR: 20.169, P < .001) and 4 (HR: 4.117, P < .001). CONCLUSION BaVD is an important prognostic factor in metastatic lung adenocarcinoma and may aid identification of patients with limited disease who may be candidates for more aggressive therapies.
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Affiliation(s)
- Colton Ladbury
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - Tariq Abuali
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - Jason Liu
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - William Watkins
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - Dongsu Du
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - Erminia Massarelli
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA
| | - Victoria Villaflor
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA
| | - An Liu
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - Ravi Salgia
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA
| | - Terence Williams
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - Scott Glaser
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - Arya Amini
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
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8
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Yang F, Gao L, Wang Q, Gao W. Development and Validation of Prognostic Nomograms for Lung Squamous Cell Carcinoma With Brain Metastasis in Patients Aged 45 Years or Older: A Population-Based Study. Cancer Control 2023; 30:10732748231202953. [PMID: 37776257 PMCID: PMC10542326 DOI: 10.1177/10732748231202953] [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: 10/02/2023] Open
Abstract
PURPOSE We aimed to establish nomograms to predict the survival in patients aged ≥45 years with lung squamous cell carcinoma and brain metastasis. METHODS We collected patients diagnosed as lung squamous cell carcinoma with brain metastasis aged ≥45 years between 2010 and 2019 from the Surveillance, Epidemiology, and End Results database. Prognostic factors were determined by the univariate and multivariate Cox regression analysis, and then the nomogram was constructed to predict cancer-specific survival and overall survival. Nomograms were evaluated by decision curve analysis, the area under the receiver operating characteristic curve, calibration plot, concordance index, and risk group stratification. RESULTS In total, 2437 patients were included, with 1706 and 731 in the cohorts of training and validation, respectively. The age, N stage, T stage, liver metastasis, chemotherapy, bone metastasis, along with radiotherapy were significant in predicting the survival, and adopted for the establishment of nomograms. In the training and validation sets, the concordance index were .713(95%CI:0.699-.728) & .700(95%CI:0.677-.722) in predicting cancer-specific survival and .715(95%CI:0.701-.729) & .712(95%CI:0.690-.735) in predicting overall survival, respectively. Besides, the area under the receiver operating characteristic curve for predicting cancer-specific survival and overall survival in the training set were all >.7 at 1-, 2-, and 3- years. Calibration plots proved the survival predicted by nomograms were consistent with the actual values. decision curve analysis revealed better clinical validity of the nomogram in predicting cancer-specific survival and overall survival at 1-year than TNM staging. Patients were stratified into the high-/low-risk groups according to the optimal cutoff value of 100.21 for cancer-specific survival and 91.98 for overall survival. A web-based probability calculator was constructed finally. CONCLUSION Two nomograms were developed for the prognostic prediction of lung squamous cell carcinoma patients with brain metastasis aged ≥45 years, providing guidance for decision-making in clinical practice.
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Affiliation(s)
- Feng Yang
- Department of Respiratory and Critical Care Medicine, China Rehabilitation Research Center, Rehabilitation School of Capital Medical University, Beijing, China
| | - Lianjun Gao
- Department of Respiratory and Critical Care Medicine, China Rehabilitation Research Center, Rehabilitation School of Capital Medical University, Beijing, China
| | - Qimin Wang
- Department of Respiratory and Critical Care Medicine, China Rehabilitation Research Center, Rehabilitation School of Capital Medical University, Beijing, China
| | - Wei Gao
- Department of Respiratory and Critical Care Medicine, China Rehabilitation Research Center, Rehabilitation School of Capital Medical University, Beijing, China
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9
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Käsmann L, Taugner J, Eze C, Nieto A, Pelikan C, Flörsch B, Kenndoff S, Hofer TP, Nössner E, Schulz C, Unterrainer M, Tufman A, Klauschen F, Jung A, Neumann J, Kumbrink J, Reinmuth N, Bartenstein P, Belka C, Manapov F. Prospective evaluation of immunological, molecular-genetic, image-based and microbial analyses to characterize tumor response and control in patients with unresectable stage III NSCLC treated with concurrent chemoradiotherapy followed by consolidation therapy with durvalumab (PRECISION): protocol for a prospective longitudinal biomarker study. Transl Lung Cancer Res 2022; 11:1503-1509. [PMID: 35958344 PMCID: PMC9359949 DOI: 10.21037/tlcr-21-1010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 05/26/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Concurrent platinum-based chemoradiotherapy (CRT) followed by durvalumab maintenance treatment represents the new standard of care in unresectable stage III non-small cell lung cancer (NSCLC). In this prospective hypothesis-generating single-center study, we aim to identify a framework of prognostic and predictive biomarkers by longitudinal characterization of tumor- and patient (host)-related parameters over all phases of multimodal treatment. METHODS This study will enroll 40 patients (≥18 years, Eastern Cooperative Oncology Group performance status (ECOG PS) 0-2, with a diagnosis of PD-L1 positive (≥1%), inoperable stage III NSCLC) with an indication for CRT followed by maintenance treatment with durvalumab according to European Medicines Agency (EMA) approval. Comprehensive analysis will include peripheral blood cellular and humoral immunophenotyping and circulating tumor DNA as well as gut/saliva microbiota analyses. Additional morphological analysis with 18F-FDG-PET/computed tomography (CT) before, 6 weeks, 6 and 12 months after the end of CRT is included. Statistical analysis using multiple testing will be used to examine the impact of different parameters on progression-free survival (PFS) and overall survival (OS) as well as tumor response and response duration. DISCUSSION This protocol describes the methodology of a comprehensive biomarker study in order to identify a framework of prognostic and predictive markers for unresectable stage III NSCLC in a real-world setting. TRIAL REGISTRATION ClinicalTrials.gov identifier (NCT05027165), data registered on August 2021.
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Affiliation(s)
- Lukas Käsmann
- Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), the German Center for Lung Research (DZL), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Julian Taugner
- Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Chukwuka Eze
- Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Alexander Nieto
- Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Carolyn Pelikan
- Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
- Immunoanalytics Research Group Tissue Control of Immunocytes, Helmholtz Center Munich, Munich, Germany
| | - Benedikt Flörsch
- Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Saskia Kenndoff
- Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Thomas P. Hofer
- Immunoanalytics Research Group Tissue Control of Immunocytes, Helmholtz Center Munich, Munich, Germany
| | - Elfriede Nössner
- Immunoanalytics Research Group Tissue Control of Immunocytes, Helmholtz Center Munich, Munich, Germany
| | - Christian Schulz
- Department of Medicine II, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Marcus Unterrainer
- Department of Radiology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Amanda Tufman
- Respiratory Medicine and Thoracic Oncology, Internal Medicine V, Ludwig-Maximilians-University (LMU) of Munich and Thoracic Oncology Centre, the German Center for Lung Research (DZL), Munich, Germany
| | - Frederick Klauschen
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Institute of Pathology, Faculty of Medicine, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Andreas Jung
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Institute of Pathology, Faculty of Medicine, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Jens Neumann
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Institute of Pathology, Faculty of Medicine, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Jörg Kumbrink
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Institute of Pathology, Faculty of Medicine, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | | | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), the German Center for Lung Research (DZL), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-University (LMU) of Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), the German Center for Lung Research (DZL), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
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10
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Hindocha S, Charlton TG, Linton-Reid K, Hunter B, Chan C, Ahmed M, Robinson EJ, Orton M, Ahmad S, McDonald F, Locke I, Power D, Blackledge M, Lee RW, Aboagye EO. A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models. EBioMedicine 2022; 77:103911. [PMID: 35248997 PMCID: PMC8897583 DOI: 10.1016/j.ebiom.2022.103911] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 02/16/2022] [Accepted: 02/16/2022] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND Surveillance is universally recommended for non-small cell lung cancer (NSCLC) patients treated with curative-intent radiotherapy. High-quality evidence to inform optimal surveillance strategies is lacking. Machine learning demonstrates promise in accurate outcome prediction for a variety of health conditions. The purpose of this study was to utilise readily available patient, tumour, and treatment data to develop, validate and externally test machine learning models for predicting recurrence, recurrence-free survival (RFS) and overall survival (OS) at 2 years from treatment. METHODS A retrospective, multicentre study of patients receiving curative-intent radiotherapy for NSCLC was undertaken. A total of 657 patients from 5 hospitals were eligible for inclusion. Data pre-processing derived 34 features for predictive modelling. Combinations of 8 feature reduction methods and 10 machine learning classification algorithms were compared, producing risk-stratification models for predicting recurrence, RFS and OS. Models were compared with 10-fold cross validation and an external test set and benchmarked against TNM-stage and performance status. Youden Index was derived from validation set ROC curves to distinguish high and low risk groups and Kaplan-Meier analyses performed. FINDINGS Median follow-up time was 852 days. Parameters were well matched across training-validation and external test sets: Mean age was 73 and 71 respectively, and recurrence, RFS and OS rates at 2 years were 43% vs 34%, 54% vs 47% and 54% vs 47% respectively. The respective validation and test set AUCs were as follows: 1) RFS: 0·682 (0·575-0·788) and 0·681 (0·597-0·766), 2) Recurrence: 0·687 (0·582-0·793) and 0·722 (0·635-0·81), and 3) OS: 0·759 (0·663-0·855) and 0·717 (0·634-0·8). Our models were superior to TNM stage and performance status in predicting recurrence and OS. INTERPRETATION This robust and ready to use machine learning method, validated and externally tested, sets the stage for future clinical trials entailing quantitative personalised risk-stratification and surveillance following curative-intent radiotherapy for NSCLC. FUNDING A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.
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Affiliation(s)
- Sumeet Hindocha
- Lung Unit, The Royal Marsden NHS Foundation Trust, Fulham Road, London SW36JJ, UK; AI for Healthcare Centre for Doctoral Training, Imperial College London, Exhibition Road, London SW7 2BX, UK; Department of Clinical Oncology, Institute of Cancer Research NIHR Biomedical Research Centre, London, UK; Cancer Imaging Centre, Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK; Early Diagnosis and Detection Centre, National Institute for Health Research (NIHR) Biomedical Research Centre at The Royal Marsden NHS Foundation Trust and the Institute of Cancer Research, London
| | - Thomas G Charlton
- Guy's Cancer Centre, Guy's and St Thomas' NHS Foundation Trust, Great Maze Pond, London SE19RT UK
| | - Kristofer Linton-Reid
- Cancer Imaging Centre, Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Benjamin Hunter
- Lung Unit, The Royal Marsden NHS Foundation Trust, Fulham Road, London SW36JJ, UK; Department of Clinical Oncology, Institute of Cancer Research NIHR Biomedical Research Centre, London, UK; Cancer Imaging Centre, Department of Surgery and Cancer, Imperial College London, Du Cane Road, London W12 0NN, UK; Early Diagnosis and Detection Centre, National Institute for Health Research (NIHR) Biomedical Research Centre at The Royal Marsden NHS Foundation Trust and the Institute of Cancer Research, London
| | - Charleen Chan
- Department of Clinical Oncology, Institute of Cancer Research NIHR Biomedical Research Centre, London, UK
| | - Merina Ahmed
- Lung Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM25PT, UK
| | - Emily J Robinson
- Clinical Trials Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM25PT, UK
| | - Matthew Orton
- Artificial Intelligence Imaging Hub, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM25PT, UK
| | - Shahreen Ahmad
- Guy's Cancer Centre, Guy's and St Thomas' NHS Foundation Trust, Great Maze Pond, London SE19RT UK
| | - Fiona McDonald
- Lung Unit, The Royal Marsden NHS Foundation Trust, Fulham Road, London SW36JJ, UK; Department of Clinical Oncology, Institute of Cancer Research NIHR Biomedical Research Centre, London, UK
| | - Imogen Locke
- Lung Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM25PT, UK
| | - Danielle Power
- Department of Clinical Oncology, Charing Cross Hospital, Fulham Palace Road, London W6 8RF, UK
| | - Matthew Blackledge
- Radiotherapy and Imaging, Institute of Cancer Research, 123 Old Brompton Road, London SW7 3RP, UK
| | - Richard W Lee
- Lung Unit, The Royal Marsden NHS Foundation Trust, Fulham Road, London SW36JJ, UK; Early Diagnosis and Detection Centre, National Institute for Health Research (NIHR) Biomedical Research Centre at The Royal Marsden NHS Foundation Trust and the Institute of Cancer Research, London; National Heart and Lung Institute, Imperial College, London, UK.
| | - Eric O Aboagye
- Department of Clinical Oncology, Institute of Cancer Research NIHR Biomedical Research Centre, London, UK.
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11
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Unterrainer M, Taugner J, Käsmann L, Tufman A, Reinmuth N, Li M, Mittlmeier LM, Bartenstein P, Kunz WG, Ricke J, Belka C, Eze C, Manapov F. Differential role of residual metabolic tumor volume in inoperable stage III NSCLC after chemoradiotherapy ± immune checkpoint inhibition. Eur J Nucl Med Mol Imaging 2022; 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] [MESH Headings] [Grants] [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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Affiliation(s)
- Marcus Unterrainer
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
| | - Julian Taugner
- Department of Radiotherapy and Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Lukas Käsmann
- Department of Radiotherapy and Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich (CPC-M), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Amanda Tufman
- Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich (CPC-M), Munich, Germany
- Department of Internal Medicine V, LMU Munich, Munich, Germany
| | | | - Minglun Li
- Department of Radiotherapy and Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Lena M Mittlmeier
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Claus Belka
- Department of Radiotherapy and Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich (CPC-M), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Chukwuka Eze
- Department of Radiotherapy and Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Farkhad Manapov
- Department of Radiotherapy and Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Member of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich (CPC-M), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
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12
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Amugongo LM, Green A, Cobben D, van Herk M, McWilliam A, Osorio EV. Identification of modes of tumor regression in non-small cell lung cancer patients during radiotherapy. Med Phys 2021; 49:370-381. [PMID: 34724228 DOI: 10.1002/mp.15320] [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: 02/07/2021] [Revised: 09/18/2021] [Accepted: 10/19/2021] [Indexed: 12/25/2022] Open
Abstract
PURPOSE Observed gross tumor volume (GTV) shrinkage during radiotherapy (RT) raises the question of whether to adapt treatment to changes observed on the acquired images. In the literature, two modes of tumor regression have been described: elastic and non-elastic. These modes of tumor regression will affect the safety of treatment adaptation. This study applies a novel approach, using routine cone-beam computed tomography (CBCT) and deformable image registration to automatically distinguish between elastic and non-elastic tumor regression. METHODS In this retrospective study, 150 locally advanced non-small cell lung cancer patients treated with 55 Gray of radiotherapy were included. First, the two modes of tumor regression were simulated. For each mode of tumor regression, one timepoint was simulated. Based on the results of simulated data, the approach used for analysis in real patients was developed. CBCTs were non-rigidly registered to the baseline CBCT using a cubic B-spline algorithm, NiftyReg. Next, the Jacobian determinants were computed from the deformation vector fields. To capture local volume changes, 10 Jacobian values were sampled perpendicular to the surface of the GTV, across the lung-tumor boundary. From the simulated data, we can distinguish elastic from non-elastic tumor regression by comparing the Jacobian values samples between 5 and 12.5 mm inside and 5 and 12.5 mm outside the planning GTV. Finally, morphometric results were compared between tumors of different histologies. RESULTS Most patients (92.3%) in our cohort showed stable disease in the first week of treatment and non-elastic shrinkage in the later weeks of treatment. At week 2, 125 patients (88%) showed stable disease, three patients (2.1%) disease progression, and 11 patients (8%) regression. By treatment completion, 91 patients (64%) had stable disease, one patient (0.7%) progression and 46 patients (32%) regression. A slight difference in the mode of tumor change was observed between tumors of different histologies. CONCLUSION Our novel approach shows that it may be possible to automatically quantify and identify global changes in lung cancer patients during RT, using routine CBCT images. Our results show that different regions of the tumor change in different ways. Therefore, careful consideration should be taken when adapting RT.
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Affiliation(s)
- Lameck Mbangula Amugongo
- Division of Cancer Sciences, University of Manchester, Manchester, UK.,Department of Radiotherapy Related Research, the Christie NHS Foundation Trust, Manchester, UK
| | - Andrew Green
- Division of Cancer Sciences, University of Manchester, Manchester, UK.,Department of Radiotherapy Related Research, the Christie NHS Foundation Trust, Manchester, UK
| | - David Cobben
- The Clatterbridge Cancer Centre NHS Foundation Trust, Clatterbridge Hospital, Birkenhead, UK
| | - Marcel van Herk
- Division of Cancer Sciences, University of Manchester, Manchester, UK.,Department of Radiotherapy Related Research, the Christie NHS Foundation Trust, Manchester, UK
| | - Alan McWilliam
- Division of Cancer Sciences, University of Manchester, Manchester, UK.,Department of Radiotherapy Related Research, the Christie NHS Foundation Trust, Manchester, UK
| | - Eliana Vasquez Osorio
- Division of Cancer Sciences, University of Manchester, Manchester, UK.,Department of Radiotherapy Related Research, the Christie NHS Foundation Trust, Manchester, UK
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13
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Ostheimer C, Mäurer M, Ebert N, Schmitt D, Krug D, Baumann R, Henkenberens C, Giordano FA, Sautter L, López G, Fleischmann DF, Niyazi M, Käsmann L, Kaul D, Thieme AH, Billiet C, Dobiasch S, Arnold CR, Oertel M, Haussmann J, Gauer T, Goy Y, Suess C, Ziegler S, Panje CM, Baues C, Trommer M, Skripcak T, Medenwald D. Prognostic impact of gross tumor volume during radical radiochemotherapy of locally advanced non-small cell lung cancer-results from the NCT03055715 multicenter cohort study of the Young DEGRO Trial Group. Strahlenther Onkol 2021; 197:385-395. [PMID: 33410959 PMCID: PMC8062351 DOI: 10.1007/s00066-020-01727-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 11/30/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND In radical radiochemotherapy (RCT) of inoperable non-small-cell lung cancer (NSCLC) typical prognostic factors include T- and N-stage, while there are still conflicting data on the prognostic relevance of gross tumor volume (GTV) and particularly its changes during RCT. The NCT03055715 study of the Young DEGRO working group of the German Society of Radiation Oncology (DEGRO) evaluated the prognostic impact of GTV and its changes during RCT. METHODS A total of 21 university centers for radiation oncology from five different European countries (Germany, Switzerland, Spain, Belgium, and Austria) participated in the study which evaluated n = 347 patients with confirmed (biopsy) inoperable NSCLC in UICC stage III A/B who received radical curative-intent RCT between 2010 and 2013. Patient and disease data were collected anonymously via electronic case report forms and entered into the multi-institutional RadPlanBio platform for central data analysis. GTV before RCT (initial planning CT, GTV1) and at 40-50 Gy (re-planning CT for radiation boost, GTV2) was delineated. Absolute GTV before/during RCT and relative GTV changes were correlated with overall survival as the primary endpoint. Hazard ratios (HR) of survival analysis were estimated by means of adjusted Cox regression models. RESULTS GTV1 was found to have a mean of 154.4 ml (95%CI: 1.5-877) and GTV2 of 106.2 ml (95% CI: 0.5-589.5), resulting in an estimated reduction of 48.2 ml (p < 0.001). Median overall survival (OS) was 18.8 months with a median of 22.1, 20.9, and 12.6 months for patients with high, intermediate, and low GTV before RT. Considering all patients, in one survival model of overall mortality, GTV2 (2.75 (1.12-6.75, p = 0.03) was found to be a stronger survival predictor than GTV1 (1.34 (0.9-2, p > 0.05). In patients with available data on both GTV1 and GTV2, absolute GTV1 before RT was not significantly associated with survival (HR 0-69, 0.32-1.49, p > 0.05) but GTV2 significantly predicted OS in a model adjusted for age, T stage, and chemotherapy, with an HR of 3.7 (1.01-13.53, p = 0.04) per 300 ml. The absolute decrease from GTV1 to GTV2 was correlated to survival, where every decrease by 50 ml reduced the HR by 0.8 (CI 0.64-0.99, p = 0.04). There was no evidence for a survival effect of the relative change between GTV1 and GTV2. CONCLUSION Our results indicate that independently of T stage, the re-planning GTV during RCT is a significant and superior survival predictor compared to baseline GTV before RT. Patients with a high absolute (rather than relative) change in GTV during RT show a superior survival outcome after RCT.
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Affiliation(s)
- C Ostheimer
- Department of Radiation Oncology, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Ernst-Grube-Straße 40, 06110, Halle (Saale), Germany.
| | - M Mäurer
- Department of Radiation Oncology, University Medical Center Jena, Jena, Germany
| | - N Ebert
- Department of Radiation Oncology, University Medical Center Dresden, Dresden, Germany
- OncoRay-National Center for Radiation Research in Oncology, Dresden, Germany
| | - D Schmitt
- Department of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany
- National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, Germany
| | - D Krug
- Department of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany
| | - R Baumann
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - C Henkenberens
- Department of Radiation and Special Oncology, Hannover Medical School, Hannover, Germany
| | - F A Giordano
- Department of Radiation Oncology, University Medical Center Mannheim, Mannheim, Germany
| | - L Sautter
- Department of Radiation Oncology, University Medical Center Mannheim, Mannheim, Germany
| | - Guerra López
- Department of Radiation Oncology, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - D F Fleischmann
- Department of Radiation Oncology, LMU Munich, Munich, Germany
- partner site Munich, German Cancer Consortium (DKTK), Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - M Niyazi
- Department of Radiation Oncology, LMU Munich, Munich, Germany
- partner site Munich, German Cancer Consortium (DKTK), Munich, Germany
| | - L Käsmann
- Department of Radiation Oncology, University of Lübeck, Lübeck, Germany
| | - D Kaul
- Department of Radiation Oncology, Charité School of Medicine, Berlin, Germany
- Campus Virchow-Klinikum, University Hospital, Berlin, Germany
| | - A H Thieme
- Department of Radiation Oncology, Charité School of Medicine, Berlin, Germany
| | - C Billiet
- Department of Radiation Oncology, Iridium Kankernetwerk, Antwerp, Belgium
| | - S Dobiasch
- Department of Radiation Oncology, Technische Universität München, Munich, Germany
| | - C R Arnold
- Department of Therapeutic Radiology and Oncology, Medical University of Innsbruck, Innsbruck, Austria
| | - M Oertel
- Department of Radiation Oncology, University Medical Center Muenster, Muenster, Germany
| | - J Haussmann
- Department of Radiation Oncology, University Medical Center Düsseldorf, Dusseldorf, Germany
| | - T Gauer
- Department of Radiotherapy and Radio-Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Y Goy
- Department of Radiotherapy and Radio-Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - C Suess
- Department of Radiation Oncology, University Medical Center Regensburg, Regensburg, Germany
| | - S Ziegler
- Department of Radiation Oncology, University Medical Center Erlangen, Erlangen, Germany
| | - C M Panje
- Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - C Baues
- Department of Radiation Oncology and Cyberknife Center, University of Cologne, Cologne, Germany
| | - M Trommer
- Department of Radiation Oncology and Cyberknife Center, University of Cologne, Cologne, Germany
| | - T Skripcak
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Dresden, Germany
| | - D Medenwald
- Department of Radiation Oncology, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Ernst-Grube-Straße 40, 06110, Halle (Saale), Germany
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14
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Łazar-Poniatowska M, Bandura A, Dziadziuszko R, Jassem J. Concurrent chemoradiotherapy for stage III non-small-cell lung cancer: recent progress and future perspectives (a narrative review). Transl Lung Cancer Res 2021; 10:2018-2031. [PMID: 34012811 PMCID: PMC8107727 DOI: 10.21037/tlcr-20-704] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Concurrent chemoradiotherapy (CHRT) remains the therapeutic standard for locally advanced inoperable non-small-cell lung cancer (NSCLC). The median overall survival (OS) with this approach is in the range of 20–30 months, with five-year survival of approximately 30%. These outcomes have recently been further improved by supplementing CHRT with maintenance durvalumab, a monoclonal anti-PD-L1 agent. The progress in treatment outcomes of locally advanced NSCLC before the era of immunotherapy has been achieved mainly by virtue of developments in diagnostics and radiotherapy techniques. Routine implementation of endoscopic and endobronchial ultrasonography for mediastinal lymph nodes assessment, positron emission tomography/computed tomography and magnetic resonance imaging of the brain allows for more accurate staging of NSCLC and for optimizing treatment strategy. Thorough staging and respiratory motion control allows for higher conformity of radiotherapy and reduction of radiotherapy related toxicity. Dose escalation with prolonged overall treatment time does not improve treatment outcomes of CHRT. In consequence, 60 Gy in 2 Gy fractions or equivalent biological dose remains the standard dose for definitive CHRT in locally advanced NSCLC. However, owing to increased toxicity of CHRT, this option may not be applicable in a proportion of elderly or frail patients. This article summarizes recent developments in curative CHRT for inoperable stage III NSCLC, and presents perspectives for further improvements of this strategy
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Affiliation(s)
| | - Artur Bandura
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland
| | - Rafał Dziadziuszko
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland
| | - Jacek Jassem
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland
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15
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Taugner J, Käsmann L, Eze C, Tufman A, Reinmuth N, Duell T, Belka C, Manapov F. Durvalumab after Chemoradiotherapy for PD-L1 Expressing Inoperable Stage III NSCLC Leads to Significant Improvement of Local-Regional Control and Overall Survival in the Real-World Setting. Cancers (Basel) 2021; 13:1613. [PMID: 33807324 PMCID: PMC8037429 DOI: 10.3390/cancers13071613] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 03/12/2021] [Accepted: 03/24/2021] [Indexed: 12/23/2022] Open
Abstract
Concurrent chemoradiotherapy (CRT) followed by maintenance treatment with the PD-L1 inhibitor durvalumab is a new standard of care for inoperable stage III NSCLC. The present study compares the oncological outcome of patients treated with CRT to those treated with CRT and durvalumab (CRT-IO) in the real-world setting. The analysis was performed based on the retro- and prospectively collected data of 144 consecutive inoperable stage III NSCLC patients treated between 2011-2020. Local-regional-progression-free-survival (LRPFS-defined as progression in the mediastinum, hilum and/or supraclavicular region at both sites and the involved lung), progression-free survival (PFS), and overall survival (OS) were evaluated from the last day of thoracic radiotherapy (TRT). Median follow-up for the entire cohort was 33.1 months (range: 6.3-111.8) and median overall survival was 27.2 (95% CI: 19.5-34.9) months. In the CRT-IO cohort after a median follow-up of 20.9 (range: 6.3-27.4) months, median PFS was not reached, LRPFS (p = 0.002), PFS (p = 0.018), and OS (p = 0.005) were significantly improved vs. the historical cohort of conventional CRT patients. After propensity-score matching (PSM) analysis with age, gender, histology, tumor volume, and treatment mode, and exact matching for T-and N-stage, 22 CRT-IO patients were matched 1:2 to 44 CRT patients. Twelve-month LRPFS, PFS, and OS rates in the CRT-IO vs. CRT cohort were 78.9 vs. 45.5% (p = 0.002), 60.0 vs. 31.8% (p = 0.007), and 100 vs. 70.5% (p = 0.003), respectively. This real-world analysis demonstrated that durvalumab after CRT led to significant improvement of local-regional control, PFS, and OS in PD-L1 expressing inoperable stage III NSCLC patients compared to a historical cohort.
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Affiliation(s)
- Julian Taugner
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.T.); (C.E.); (C.B.); (F.M.)
| | - Lukas Käsmann
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.T.); (C.E.); (C.B.); (F.M.)
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Center for Lung Research (DZL), 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
| | - Chukwuka Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.T.); (C.E.); (C.B.); (F.M.)
| | - Amanda Tufman
- Division of Respiratory Medicine and Thoracic Oncology, Department of Internal Medicine V, Thoracic Oncology Centre Munich, LMU Munich, 81377 Munich, Germany;
| | - Niels Reinmuth
- Asklepios Kliniken GmbH, Asklepios Fachkliniken Muenchen, 82131 Gauting, Germany; (N.R.); (T.D.)
| | - Thomas Duell
- Asklepios Kliniken GmbH, Asklepios Fachkliniken Muenchen, 82131 Gauting, Germany; (N.R.); (T.D.)
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.T.); (C.E.); (C.B.); (F.M.)
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Center for Lung Research (DZL), 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (J.T.); (C.E.); (C.B.); (F.M.)
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Center for Lung Research (DZL), 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
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16
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Büttner M, Cordes N, Gauer T, Habermehl D, Klautke G, Micke O, Mäurer M, Sokoll J, Troost EGC, Christiansen H, Niyazi M. Current status and developments of German curriculum-based residency training programmes in radiation oncology. Radiat Oncol 2021; 16:55. [PMID: 33743750 PMCID: PMC7981823 DOI: 10.1186/s13014-021-01785-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 03/10/2021] [Indexed: 11/24/2022] Open
Abstract
Purpose The current status of German residency training in the field of radiation oncology is provided and compared to programmes in other countries. In particular, we present the DEGRO-Academy within the international context. Methods Certified courses from 2018 and 2019 were systematically assigned to the DEGRO-Curriculum, retrospectively for 2018 and prospectively for 2019. In addition, questionnaires of course evaluations were provided, answered by course participants and collected centrally. Results Our data reveal a clear increase in curriculum coverage by certified courses from 57.6% in 2018 to 77.5% in 2019. The analyses enable potential improvements in German curriculum-based education. Specific topics of the DEGRO-Curriculum are still underrepresented, while others decreased in representation between 2018 and 2019. It was found that several topics in the DEGRO-Curriculum require more attention because of a low DEGRO-curriculum coverage. Evaluation results of certified courses improved significantly with a median grade of 1.62 in 2018 to 1.47 in 2019 (p = 0.0319). Conclusion The increase of curriculum coverage and the simultaneous improvement of course evaluations are promising with respect to educational standards in Germany. Additionally, the early integration of radiation oncology into medical education is a prerequisite for resident training because of rising demands on quality control and increasing patient numbers. This intensified focus is a requirement for continued high standards and quality of curriculum-based education in radiation oncology both in Germany and other countries. Supplementary Information The online version contains supplementary material available at 10.1186/s13014-021-01785-7.
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Affiliation(s)
- Marcel Büttner
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Nils Cordes
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,OncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.,National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany.,Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology - OncoRay, Dresden, Germany
| | - Tobias Gauer
- Department of Radiotherapy and Radio-Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Gunther Klautke
- Clinic for Radiation Oncology, Chemnitz Medical Center, Chemnitz, Germany
| | - Oliver Micke
- Department of Radiotherapy and Radiation Oncology, Franziskus Hospital Bielefeld, Kiskerstrasse 26, 33615, Bielefeld, Germany
| | - Matthias Mäurer
- Department of Radiation Oncology, University Medical Center Jena, Jena, Germany
| | - Jan Sokoll
- PRO RadioOncology GmbH, Poststraße 10-12, 27404, Zeven, Germany
| | - Esther Gera Cornelia Troost
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,OncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.,National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany.,Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology - OncoRay, Dresden, Germany
| | - Hans Christiansen
- Department of Radiation Oncology, Hannover Medical School, 30625, Hannover, Germany.
| | - Maximilian Niyazi
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
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17
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Amugongo LM, Osorio EV, Green A, Cobben D, van Herk M, McWilliam A. Identification of patterns of tumour change measured on CBCT images in NSCLC patients during radiotherapy. Phys Med Biol 2020; 65:215001. [PMID: 32693397 DOI: 10.1088/1361-6560/aba7d3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
In this study, we propose a novel approach to investigate changes in the visible tumour and surrounding tissues with the aim of identifying patterns of tumour change during radiotherapy (RT) without segmentation on the follow-up images. On-treatment cone-beam computed tomography (CBCT) images of 240 non-small cell lung cancer (NSCLC) patients who received 55 Gy of RT were included. CBCTs were automatically aligned onto planning computed tomography (planning CT) scan using a two-step rigid registration process. To explore density changes across the lung-tumour boundary, eight shells confined to the shape of the gross tumour volume (GTV) were created. The shells extended 6 mm inside and outside of the GTV border, and each shell is 1.5 mm thick. After applying intensity correction on CBCTs, the mean intensity was extracted from each shell across all CBCTs. Thereafter, linear fits were created, indicating density change over time in each shell during treatment. The slopes of all eight shells were clustered to explore patterns in the slopes that show how tumours change. Seven clusters were obtained, 97% of the patients were clustered into three groups. After visual inspection, we found that these clusters represented patients with little or no density change, progression and regression. For the three groups, the survival curves were not significantly different between the groups, p-value = 0.51. However, the results show that definite patterns of tumour change exist, suggesting that it may be possible to identify patterns of tumour changes from on-treatment CBCT images.
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Affiliation(s)
- Lameck Mbangula Amugongo
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom. Department of Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, United Kingdom
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18
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Katsuta T, Matsuura K, Kashiwado K, Kagemoto M. Phase II Study: The Outcome of Hypofractionated Involved-Field Radiation Therapy With Concurrent Chemotherapy for the Treatment of Locally Advanced Non-small Cell Lung Cancer. Pract Radiat Oncol 2020; 11:35-43. [PMID: 32949771 DOI: 10.1016/j.prro.2020.09.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 07/24/2020] [Accepted: 09/05/2020] [Indexed: 12/25/2022]
Abstract
PURPOSE This phase II study aimed to evaluate the efficacy and safety of hypofractionated involved-field radiation therapy (HypoFx-IFRT) in 2.5 Gy fractions and concurrent chemotherapy for locally advanced stage IIIA and B nonsmall cell lung cancer (LA-NSCLC) without prolonging treatment delivery time beyond 6 weeks. We analyzed the overall survival (OS), progression-free survival, and safety of the treatment. METHODS AND MATERIALS This prospective, single center, single-arm trial was initiated in 2010. All LA-NSCLC patients were treated with HypoFx-IFRT using 3-dimensional conformal radiation therapy. The median total dose of HypoFx-IFRT was 67.5 Gy (range, 60-70). RESULTS From December 2010 to October 2016, 36 patients were ultimately enrolled and evaluated. The trial closed early owing to slow accrual. The median follow-up duration was 50 months in all patients and 65 months in surviving patients. The 1-, 3-, and 5-year OS rates were 88.9% (95% confidence interval [CI], 78.6%-99.2%), 61.1% (95% CI, 45.2%-77.0%), and 54.1% (95% CI, 37.3%-70.9%), respectively. The median time for OS was not reached. The median time for progression-free survival was 10.7 months. The incidence rates of grade 3 radiation pneumonitis, esophagitis and esophageal stenosis were 8.3%, 2.8%, and 2.8%, respectively, and no acute or late toxicities of grade 4 or 5 were observed. CONCLUSIONS This study indicated that HypoFx-IFRT with concurrent chemotherapy yielded an acceptable safety profile and might be beneficial in the survival outcomes of patients with LA-NSCLC.
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Affiliation(s)
- Tsuyoshi Katsuta
- Department of Radiation Oncology, Hiroshima City Hospital Organization, Hiroshima City Hiroshima Citizens Hospital, Hiroshima City, Hiroshima, Japan; Department of Radiation Oncology, Hiroshima Red Cross Hospital & Atomic-bomb Survivors Hospital, 1ku, Hiroshima City, Hiroshima, Japan.
| | - Kanji Matsuura
- Department of Radiation Oncology, Hiroshima City Hospital Organization, Hiroshima City Hiroshima Citizens Hospital, Hiroshima City, Hiroshima, Japan
| | - Kozo Kashiwado
- Department of Radiation Oncology, Hiroshima Red Cross Hospital & Atomic-bomb Survivors Hospital, 1ku, Hiroshima City, Hiroshima, Japan
| | - Masayuki Kagemoto
- Department of Radiation Oncology, Hiroshima City Hospital Organization, Hiroshima City Hiroshima Citizens Hospital, Hiroshima City, Hiroshima, Japan
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19
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Gaines DK, Yegya-Raman N, Kim S, Simone CB, Theodorou Ross C, Deek MP, Lam S, Feigenberg SJ, Osorio B, Nie K, Zou W, Patel M, Malhotra J, Langenfeld J, Aisner J, Jabbour SK. Tumor volume reduction evaluated by cone beam computed tomography during stereotactic body radiotherapy for early stage non-small cell lung cancer. J Thorac Dis 2020; 12:2482-2488. [PMID: 32642155 PMCID: PMC7330363 DOI: 10.21037/jtd.2020.03.46] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Background We hypothesized that significant tumor volume reduction (TVR) occurs over the course of stereotactic body radiotherapy (SBRT) for early stage non-small cell lung cancer (NSCLC), and that TVR correlates with clinical outcomes. Methods We conducted a retrospective review of patients treated with SBRT for early stage NSCLC across two academic centers. For each patient, we contoured the tumor volume (TV) on cone beam computed tomography (CBCT) images obtained before each treatment fraction. We then calculated TVR based on the TV from the first and last days of treatment. We used log-rank tests to quantify differences in overall survival (OS), progression-free survival (PFS) and recurrence based on TVR. Results Data from 69 patients and a total of 73 treated tumors were analyzed. The median follow-up for survivors was 51.8 months (range, 6.9 to 80.0 months). The median TVR for the cohort was 10.1% (range, −5.7% to 43.5%). There was no significant difference in either OS (median 33.4 vs. 29.1 months, P=0.79) or PFS (median 26.3 vs. 12.3 months, P=0.43) for those with high TVRs (≥10.1%) vs. low TVRs (<10.1%), respectively. There was a trend toward superior 2-year PFS in the high TVR group (52.2% vs. 36.7%, P=0.062), but this effect diminished on longer follow-up (4-year PFS 31.9% vs. 26.7%, P=0.15). No associations were observed between TVR and local, regional or distant recurrence. Conclusions We were not able to demonstrate that TVR is a reliable predictive imaging marker for stage I/II NSCLC treated with SBRT. Future studies with larger sample sizes are needed to clarify a potential relationship between TVR and early outcomes.
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Affiliation(s)
- Dakim K Gaines
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Nikhil Yegya-Raman
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.,Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sinae Kim
- Department of Biostatistics, School of Public Health, Rutgers University, Piscataway, NJ, USA.,Biometrics Division, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Charles B Simone
- Department of Radiation Oncology, New York Proton Center, New York, NY, USA
| | - Christina Theodorou Ross
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Matthew P Deek
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.,Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sarah Lam
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Steven J Feigenberg
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Benedict Osorio
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Ke Nie
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Wei Zou
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Malini Patel
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Jyoti Malhotra
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - John Langenfeld
- Department of Surgery, Section of Thoracic Surgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Joseph Aisner
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Salma K Jabbour
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
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20
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Käsmann L, Eze C, Taugner J, Roengvoraphoj O, Dantes M, Schmidt-Hegemann NS, Schiopu S, Belka C, Manapov F. Chemoradioimmunotherapy of inoperable stage III non-small cell lung cancer: immunological rationale and current clinical trials establishing a novel multimodal strategy. Radiat Oncol 2020; 15:167. [PMID: 32646443 PMCID: PMC7350600 DOI: 10.1186/s13014-020-01595-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 06/09/2020] [Indexed: 02/06/2023] Open
Abstract
Immune-checkpoint inhibitors (ICI) have dramatically changed the landscape of lung cancer treatment. Preclinical studies investigating combination of ICI with radiation show a synergistic improvement of tumor control probability and have resulted in the development of novel therapeutic strategies. For advanced non-small cell lung cancer (NSCLC), targeting immune checkpoint pathways has proven to be less toxic with more durable treatment response than conventional chemotherapy. In inoperable Stage III NSCLC, consolidation immune checkpoint inhibition with the PD-L1 inhibitor durvalumab after completion of concurrent platinum-based chemoradiotherapy resulted in remarkable improvement of progression-free and overall survival. This new tri-modal therapy has become a new treatment standard. Development of predictive biomarkers and improvement of patient selection and monitoring is the next step in order to identify patients most likely to derive maximal benefit from this new multimodal approach. In this review, we discuss the immunological rationale and current trials investigating chemoradioimmunotherapy for inoperable stage III NSCLC.
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Affiliation(s)
- Lukas Käsmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Chukwuka Eze
- 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
| | - Olarn Roengvoraphoj
- 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
| | - Nina-Sophie Schmidt-Hegemann
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Sanziana Schiopu
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Department of Internal Medicine V, Ludwig-Maximilians-University, Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
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21
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Roengvoraphoj O, Käsmann L, Eze C, Taugner J, Gjika A, Tufman A, Hadi I, Li M, Mille E, Gennen K, Belka C, Manapov F. Maximum standardized uptake value of primary tumor (SUVmax_PT) and horizontal range between two most distant PET-positive lymph nodes predict patient outcome in inoperable stage III NSCLC patients after chemoradiotherapy. Transl Lung Cancer Res 2020; 9:541-548. [PMID: 32676318 PMCID: PMC7354148 DOI: 10.21037/tlcr.2020.04.04] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 02/28/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND 18F-FDG-positron emission tomography (PET)/computed tomography (CT) is a standard for initial staging in patients with locally advanced stage III non-small cell lung cancer (NSCLC). We evaluated a PET/CT staging score to characterize disease extension and patient outcome in this disease. METHODS Ninety-nine consecutive patients with NSCLC stage IIIA-B (UICC 7th edition), who underwent 18F-FDG-PET/CT before the start of chemoradiotherapy (CRT) were analyzed. Maximum standardized uptake value of primary tumor (SUVmax_PT) and range between two most distant PET-positive (SUV ≥2.5) lymph nodes in two directions were analyzed for their correlation with patient outcome. The vertical distance was defined as A- and the horizontal as a B-line. RESULTS According to the results of univariate analysis, score included the SUVmax_PT and horizontal B-line, patients were divided into three risk subgroups: low, intermediate and high-risk subgroups. Subgroups were defined as SUVmax_PT <8 and B-line <3.7 cm, SUVmax_PT >8 or B-line >3.7 cm and SUVmax_PT >8 plus B-line >3.7 cm, respectively. Twenty-eight (28%), 45 (46%) and 26 (26%) patients were assigned to the low, intermediate and high-risk subgroup, respectively. Median event-free survival (EFS) in low, intermediate and high-risk subgroups was 16 (95% CI: 7-25), 13 (95% CI: 12-15) and 10 (95% CI: 7-13) months (P=0.002, log-rank test). Median OS in the low, intermediate and high-risk subgroups was 40 (95% CI: 11-69), 23 (95% CI: 15-31) and 14 (95% CI: 13-14) months (P=0.0001, log-rank test). In the multivariate analysis, SUV, B-line and PET/CT score were significantly associated with EFS [harard ratio (HR) 2.12 (95% CI: 1.27-3.55) and intermediate risk HR 2.01 (95% CI: 1.13-3.59), P=0.003] and OS [high-risk HR 2.79 (95% CI: 1.16-4.55) and intermediate risk HR 2.30 (95% CI: 1.58-4.94), P=0.001]. CONCLUSIONS A PET/CT score was developed for inoperable stage III NSCLC patients treated with CRT and was an independent predictor of patient outcome in the single-center cohort.
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Affiliation(s)
- Olarn Roengvoraphoj
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Lukas Käsmann
- 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
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Chukwuka Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Julian Taugner
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Arteda Gjika
- Department of Radiation Oncology, 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
- Respiratory Medicine and Thoracic Oncology, Internal Medicine V, Ludwig-Maximilians-University of Munich and Thoracic Oncology Center Munich, Munich, Germany
| | - Indrawati Hadi
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Minglun Li
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Erik Mille
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Kathrin Gennen
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Claus Belka
- 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
- German Cancer Consortium (DKTK), Partner Site Munich, 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
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
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Käsmann L, Eze C, Taugner J, Roengvoraphoj O, Belka C, Manapov F. Implementation of durvalumab maintenance treatment after concurrent chemoradiotherapy in inoperable stage III non-small cell lung cancer (NSCLC)-a German radiation oncology survey. Transl Lung Cancer Res 2020; 9:288-293. [PMID: 32420068 PMCID: PMC7225149 DOI: 10.21037/tlcr.2020.03.25] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 02/28/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Durvalumab as maintenance treatment after platinum-based concurrent chemoradiotherapy (cCRT) has become the standard of care in inoperable stage III non-small cell lung cancer (NSCLC). In this nationwide survey, we solicited members of the German Radiation Oncology Society to review the current distribution and clinical settings of durvalumab treatment after cCRT, observed side effects and summarize follow-up management. METHODS We surveyed radiation oncology institutions in Germany via an anonymous online questionnaire sent by e-mail to all members of the German Radiation Oncology Society which agreed their willingness to participate. RESULTS We received a total of 255 responses (response rate: 18%). Of which 203 (80%) were completed and returned and thus eligible for further evaluation. The respondents work in 87 different cities and 44% in a private medical practice, 29% in university and 22% in a general hospital. Durvalumab was implemented in clinical routine by 70% of respondents. Major reasons for failed implementation in clinical practice reported by the respondents were patient's ineligibility (42%), lack of required PD-L1 status (25%), decision of medical oncologists (7%) or absence of updated German guidelines (7%). Thirty-six percent of all respondents report low (≤30%) PD-L1 testing before cCRT based on IHC assay. No respondent had applied durvalumab in less than 14 days after the completion of CRT. Severe side effects requiring hospital admission in more than 10% of all patients were reported by 12% of all respondents. CONCLUSIONS Durvalumab maintenance is already implemented in the radiation oncology community and administered by the absolute majority of respondents. Low testing rates of PD-L1 at initial diagnosis were observed and should be considered a major barrier to universal adoption and integration in the clinical work-flow in countries with durvalumab approval restricted to PD-L1 positive patients. No respondent applies durvalumab in less than 14 days after cCRT.
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Affiliation(s)
- Lukas Käsmann
- 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
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
| | - Chukwuka Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Julian Taugner
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Olarn Roengvoraphoj
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Claus Belka
- 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
- German Cancer Consortium (DKTK), partner site Munich, 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
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
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Role of T0 status in overall survival for unresectable stage III non-small cell lung cancer: A NCDB analysis. Radiother Oncol 2020; 148:8-13. [PMID: 32294582 DOI: 10.1016/j.radonc.2020.03.021] [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: 01/11/2020] [Revised: 03/05/2020] [Accepted: 03/19/2020] [Indexed: 11/23/2022]
Abstract
OBJECTIVES Occult primary non-small cell lung cancer (NSCLC) with mediastinal involvement is a known but rare clinical condition. Very limited retrospective data are available in the literature. Its prognosis and response to systemic chemotherapy have not been investigated with large scale data. MATERIALS AND METHODS Using National Cancer Database (NCDB), cases that had undergone radiation therapy without surgery for N2-3M0 NSCLC were selected. Demographics and survival data were compared between T0 and T1-4 groups. Survival analyses were conducted with Kaplan-Meier and log-rank tests. Cox proportional hazard models were used for univariate and multivariate analyses. RESULTS Between 2004 and 2016, 84,263 and 458 cases met criteria for unresectable stage III NSCLC with T1-4 and T0 stage, respectively. T0 status was associated with younger age, recent diagnosis (year 2010-2016), adenocarcinoma histology, N3 stage, and use of chemotherapy. Survival analysis demonstrated that those with T0 status had prolonged overall survival as compared to T1-4 counterparts in both overall and chemotherapy groups (p < 0.0001 for each). Five-year overall survival rates for T0 and T1-4 groups were 30.5% and 12.7% in all groups, and 33.6% and 14.6% in chemotherapy groups, respectively. Propensity score matching also demonstrated a statistically significant difference in overall survival (p < 0.0001). These findings are confirmed by independent analysis using Surveillance, Epidemiology, and End Results Program (SEER). CONCLUSION This large hospital-based study demonstrates the favorable prognosis for T0 status in the setting of unresectable stage III NSCLC. Researchers may consider it as distinct stage (e.g., stage IIC) for future studies.
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Käsmann L, Abdo R, Eze C, Dantes M, Taugner J, Gennen K, Roengvoraphoj O, Rades D, Belka C, Manapov F. External Validation of a Survival Score for Limited-Stage Small Cell Lung Cancer Patients Treated with Chemoradiotherapy. Lung 2020; 198:201-206. [PMID: 31897594 DOI: 10.1007/s00408-019-00312-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 12/17/2019] [Indexed: 11/26/2022]
Abstract
PURPOSE In order to personalize multimodal treatment regimens in limited-stage small cell lung cancer (LS-SCLC), a survival score for these patients was proposed. The aim of this study is to validate the score in an independent external patient cohort. METHODS We collected data of 78 patients treated with chemoradiotherapy for LS-SCLC between 2004 and 2015. The survival score was calculated by independent prognostic factors: gender, Karnofsky performance status, tumor substage, and hemoglobin level before treatment. Scoring points were derived from 2-year survival rates divided by 10 and the values for each prognostic factor were tallied. Three risk subgroups were defined (high, intermediate, low risk: 9-13, 14-18, 19-26 points). The 2-year survival rate of each subgroup from the original study was compared to its corresponding subgroup from the validation cohort. RESULTS Median survival time in the entire validation cohort was 17 months (range: 1-123 months). The 2-year survival rates were 0% in the 9-13, 35% in the 14-18, and 43% in the 19-26 points group, respectively (p = 0.018). The difference in 2-year survival between the 9-13 points and the 14-18 points group was significant in the validation cohort (p = 0.007) as well after stratification of concurrent chemoradiotherapy (p < 0.001), whereas the difference between the 14 and 18 points and the 19-26 points group was not significant (p = 0.602, p = 0.770). CONCLUSION The score was reproducible to estimate the 2-year survival rate of patients with LS-SCLC, especially in the high- and intermediate-risk subgroups. In order to improve the differentiation between patients with an intermediate and favorable survival prognosis, the scoring system needs further development.
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Affiliation(s)
- Lukas Käsmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
| | - Reem Abdo
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Chukwuka Eze
- 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
| | - Kathrin Gennen
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Olarn Roengvoraphoj
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Dirk Rades
- Department of Radiation Oncology, University of Luebeck, Luebeck, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
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Provider decision regret-a useful method for analysis of palliative thoracic re-irradiation for lung cancer? Strahlenther Onkol 2020; 196:315-324. [PMID: 32002566 DOI: 10.1007/s00066-020-01577-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 01/07/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND The overall usefulness of palliative thoracic re-irradiation depends on the balance between efficacy, survival, and toxicity, and is difficult to judge from previous studies. In the absence of patient-reported data, we developed a method for provider decision regret that addresses the question "would we re-irradiate this patient again in light of the known outcome?" Furthermore, we analyzed different reasons for decision regret and defined a subgroup at increased risk. PATIENTS AND METHODS A retrospective analysis of 33 patients with lung cancer re-irradiated with 17-45 Gy was performed. Reasons for decision regret included re-irradiation within the last 30 days of life, immediate radiological progression after re-irradiation (as opposed to stable disease or objective response), radiation myelopathy, any grade 4-5 toxicity, grade 3 pneumonitis, and other grade 3 toxicity in the absence of a symptomatic benefit or a time period of at least 3 months without worsening of the treated tumor. RESULTS Median survival time was 5.2 months (95% confidence interval 3.4-7.0 months). Symptomatic and radiological responses were observed. Provider decision regret was declared in 12 patients (36%): 2 patients with grade 3 pneumonitis, 3 patients with a short survival (radiotherapy during the last 30 days of life), and 7 patients with progression. Decision regret was declared only in patients with Eastern Cooperative Oncology Group (ECOG) performance status (PS) 2 or 3 and was associated with a time interval to re-irradiation <6 months. CONCLUSION Our data support the usefulness and acceptable side effects profile of palliative re-irradiation for lung cancer. Patients with reduced PS are at increased risk of futile treatment. Future research should aim at prediction of immediate disease progression (the prevailing cause of decision regret). Evaluation of provider decision regret has the potential to improve the way we learn from retrospective databases and should also be considered for other scenarios where high-quality prospective outcome data are lacking.
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Gennen K, Käsmann L, Taugner J, Eze C, Karin M, Roengvoraphoj O, Neumann J, Tufman A, Orth M, Reu S, Belka C, Manapov F. Prognostic value of PD-L1 expression on tumor cells combined with CD8+ TIL density in patients with locally advanced non-small cell lung cancer treated with concurrent chemoradiotherapy. Radiat Oncol 2020; 15:5. [PMID: 31898519 PMCID: PMC6941268 DOI: 10.1186/s13014-019-1453-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 12/23/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND/AIM mmune checkpoint inhibition (CPI) has an increasing impact in the multimodal treatment of locally advanced non-small cell lung cancer (LA-NSCLC). Increasing evidence suggests treatment outcome depending on tumor cell PD-L1 expression. The purpose of this retrospective study was to investigate the prognostic value of PD-L1 expression on tumor cells in combination with CD8+ tumor stroma-infiltrating lymphocyte (TIL) density in inoperable LA-NSCLC treated with concurrent chemoradiotherapy (CRT). PATIENTS AND METHOD We retrospectively assessed clinical characteristics and initial tumor biopsy samples of 31 inoperable LA-NSCLC patients treated with concurrent CRT. Prognostic impact of tumor cell PD-L1 expression (0% versus ≥1%) and CD8+ TIL density (0-40% vs. 41-100%) for local control, progression-free (PFS) and overall survival (OS) as well as correlations with clinicopathological features were evaluated. RESULTS Median OS was 14 months (range: 3-167 months). The OS rates at 1- and 2 years were 68 and 20%. Local control of the entire cohort at 1 and 2 years were 74 and 61%. Median PFS, 1-year and 2-year PFS were 13 ± 1.4 months, 58 and 19%. PD-L1 expression < 1% on tumor cells was associated with improved OS, PFS and local control in patients treated with concurrent CRT. Univariate analysis showed a trend towards improved OS and local control in patients with low CD8+ TIL density. Evaluation of Tumor Immunity in the MicroEnvironment (TIME) appears to be an independent prognostic factor for local control, PFS and OS. The longest and shortest OS were achieved in patients with type I (PD-L1neg/CD8low) and type IV (PD-L1pos/CD8low) tumors (median OS: 57 ± 37 vs. 10 ± 5 months, p = 0.05), respectively. CONCLUSION Assessment of PD-L1 expression on tumor cells in combination with CD8+ TIL density can be a predictive biomarker in patients with inoperable LA-NSCLC treated with concurrent CRT.
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Affiliation(s)
- Kathrin Gennen
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Lukas Käsmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany.
| | - Julian Taugner
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Chukwuka Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Monika Karin
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Olarn Roengvoraphoj
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Jens Neumann
- Institute of Pathology, Faculty of Medicine, LMU, Munich, Germany
| | - Amanda Tufman
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Department of Internal Medicine V, Thoracic Oncology Centre Munich, Division of Respiratory Medicine and Thoracic Oncology, LMU, Munich, Germany
| | - Michael Orth
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Simone Reu
- Department of Pathology, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
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Kim H, Yoo H, Pyo H, Ahn YC, Noh JM, Ju SG, Lee W, Park B, Kim JM, Kang N, Shin SH, Chung MP, Shin S, Kim HS, Park M, Park HY. Impact Of Underlying Pulmonary Diseases On Treatment Outcomes In Early-Stage Non-Small Cell Lung Cancer Treated With Definitive Radiotherapy. Int J Chron Obstruct Pulmon Dis 2019; 14:2273-2281. [PMID: 31631997 PMCID: PMC6782029 DOI: 10.2147/copd.s210759] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 09/16/2019] [Indexed: 01/12/2023] Open
Abstract
Purpose Current guidelines recommend definitive radiotherapy for patients with medically inoperable early-stage non-small cell lung cancer (NSCLC). However, the impact of underlying pulmonary diseases on survival in those patients remains unclear. Methods We retrospectively reviewed the medical records of 234 patients with stage I-II NSCLC treated with definitive radiotherapy alone at Samsung Medical Center between January 2010 and October 2017. We compared survival outcomes according to the presence of underlying pulmonary diseases, including chronic obstructive pulmonary disease (COPD), combined pulmonary fibrosis and emphysema (CPFE), and idiopathic pulmonary fibrosis (IPF). The control group in this study was stage I-II NSCLC patients who were non-COPD, non-CPFE, and non-IPF. Results The median follow-up duration was 17 (range, 1–92) months. The median survival times of the control, COPD, CPFE, and IPF groups were 32, 49, 17, and 12 months, respectively (P<0.001). In a Cox proportional hazards analysis for factors associated with overall survival, patients with COPD showed a similar risk of death (adjusted hazard ratio [HR], 1.306; 95% confidence interval [CI], 0.723–2.358; P=0.376) compared to that of the control group, while patients with CPFE (adjusted HR, 3.382; 95% CI, 1.472–7.769; P=0.004) and IPF (adjusted HR, 4.061; 95% CI, 1.963–8.403; P<0.001) showed an increased risk of death. Conclusion Definitive radiotherapy may be a tolerable treatment for early-stage NSCLC with COPD. However, poor survival in early-stage NSCLC patients with IPF or CPFE requires further study to identify and develop patient selection criteria as well as an optimal radiotherapy modality.
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Affiliation(s)
- Hakyoung Kim
- Department of Radiation Oncology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Hongseok Yoo
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hongryull Pyo
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yong Chan Ahn
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jae Myoung Noh
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sang Gyu Ju
- Department of Radiation Oncology, Samsung Medical Center, Seoul, South Korea
| | - Woojin Lee
- Department of Radiation Oncology, Samsung Medical Center, Seoul, South Korea
| | - Byoungsuk Park
- Department of Radiation Oncology, Samsung Medical Center, Seoul, South Korea
| | - Jin Man Kim
- Department of Radiation Oncology, Samsung Medical Center, Seoul, South Korea
| | - Noeul Kang
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sun Hye Shin
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Man Pyo Chung
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sumin Shin
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hye Seung Kim
- Statistics and Data Center, Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Republic of Korea
| | - Minsu Park
- Statistics and Data Center, Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Republic of Korea
| | - Hye Yun Park
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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Tumor regression during radiotherapy for non-small cell lung cancer patients using cone-beam computed tomography images. Strahlenther Onkol 2019; 196:159-171. [PMID: 31559481 PMCID: PMC6994551 DOI: 10.1007/s00066-019-01522-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Accepted: 09/12/2019] [Indexed: 01/25/2023]
Abstract
PURPOSE Previous literature has reported contradicting results regarding the relationship between tumor volume changes during radiotherapy treatment for non-small cell lung cancer (NSCLC) patients and locoregional recurrence-free rate or overall survival. The aim of this study is to validate the results from a previous study by using a different volume extraction procedure and evaluating an external validation dataset. METHODS For two datasets of 94 and 141 NSCLC patients, gross tumor volumes were determined manually to investigate the relationship between tumor volume regression and locoregional control using Kaplan-Meier curves. For both datasets, different subgroups of patients based on histology and chemotherapy regimens were also investigated. For the first dataset (n = 94), automatically determined tumor volumes were available from a previously published study to further compare their correlation with updated clinical data. RESULTS A total of 70 out of 94 patients were classified into the same group as in the previous publication, splitting the dataset based on median tumor regression calculated by the two volume extraction methods. Non-adenocarcinoma patients receiving concurrent chemotherapy with large tumor regression show reduced locoregional recurrence-free rates in both datasets (p < 0.05 in dataset 2). For dataset 2, the opposite behavior is observed for patients not receiving chemotherapy, which was significant for overall survival (p = 0.01) but non-significant for locoregional recurrence-free rate (p = 0.13). CONCLUSION The tumor regression pattern observed during radiotherapy is not only influenced by irradiation but depends largely on the delivered chemotherapy schedule, so it follows that the relationship between patient outcome and the degree of tumor regression is also largely determined by the chemotherapy schedule. This analysis shows that the relationship between tumor regression and outcome is complex, and indicates factors that could explain previously reported contradicting findings. This, in turn, will help guide future studies to fully understand the relationship between tumor regression and outcome.
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Dong W, Du Y, Ma S. Impact of chemotherapy in the prognosis of non-small-cell lung cancer patients with severe to very severe COPD. Int J Chron Obstruct Pulmon Dis 2018; 13:3805-3812. [PMID: 30538442 PMCID: PMC6254538 DOI: 10.2147/copd.s182173] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND The aim of the study was to investigate if first-line chemotherapy improves total survival time in non-small-cell lung cancer (NSCLC) patients complicated with severe to very severe COPD. MATERIALS AND METHODS This retrospective observational clinical study included 267 consecutive NSCLC patients with COPD complications at the Department of Respiratory and Critical Care Medicine of Tianjin Chest Hospital between January 2009 and January 2018. Sixty-nine evaluable patients were included. The clinical characteristics, toxicity profile, objective response rate, and prognosis were analyzed and compared between patients receiving and those not receiving chemotherapy. RESULTS Forty-five and 24 patients received first-line chemotherapy plus supportive care and supportive care alone, respectively. Kaplan-Meier curves showed that patients receiving chemotherapy had a statistically significant 6-month longer median overall survival (OS) than that of patients receiving supportive care alone (14.0, 95% CI: 8.5-19.5 vs 8.0, 95% CI: 6.4-9.6, respectively) (chi2=8.857, P=0.003). In the multivariate Cox proportional hazard model adjusted for the most relevant variables, the adjusted hazard ratio (HRadj) differed significantly for the receipt of chemotherapy (HRadj=0.4464, 95% CI: 0.2495-0.7988; P=0.0066) but not for gender (HRadj=0.8527, 95% CI: 0.4461-1.6298; P=0.6297), age (HRadj=1.0021, 95% CI: 0.9609-1.0451; P=0.9214), histology (HRadj=1.4422, 95% CI: 0.6959-2.9889; P=0.3247), cancer stage (HRadj=1.9098, 95% CI: 0.8607-4.2375; P=0.1116), performance status score (HRadj=1.5155, 95% CI: 0.7523-3.0529; P=0.2446), lung function (HRadj=1.3856, 95% CI: 0.7149-2.6857; P=0.3341), or respiratory symptoms (HRadj=1.0518, 95% CI: 0.6032-1.8342; P=0.8586). Patients with grade 3/4 adverse reactions accounted for 29% (13/45) of the chemotherapy group. CONCLUSION The results indicated that chemotherapy may improve the OS of NSCLC patients with severe to very severe COPD.
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Affiliation(s)
- Weigang Dong
- Department of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin, People's Republic of China,
| | - Yan Du
- Department of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin, People's Republic of China,
| | - Shuping Ma
- Department of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin, People's Republic of China,
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Elsayad K, Samhouri L, Scobioala S, Haverkamp U, Eich HT. Is tumor volume reduction during radiotherapy prognostic relevant in patients with stage III non-small cell lung cancer? J Cancer Res Clin Oncol 2018; 144:1165-1171. [PMID: 29623466 DOI: 10.1007/s00432-018-2640-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 04/03/2018] [Indexed: 12/26/2022]
Abstract
PURPOSE/OBJECTIVE(S) Lung cancer tumor volume reduction is common during radiation treatment (RT). The purpose of this study was to investigate tumor volume reduction ratio (VRR) and its correlation with outcomes in a cohort of patients with stage III non-small cell lung cancer (NSCLC) who underwent image-guided radiochemotherapy (RCTx). MATERIALS/METHODS Fifty patients with NSCLC treated with fractionated RT at our institution between 2013 and 2017 were included. The relationship between gross tumor volume (GTV) changes during RT (week 1 vs. week 5) and outcomes were evaluated. RESULTS The median radiation dose delivered was 59.4 Gy (median fraction dose, 1.8 Gy). The median GTV before treatment was 119 cm3, with a median GTV change of - 40%. Patients with more volume reduction had poorer tumor control. A VRR > 40% was associated with a poorer OS and PFS in patients with non-adenocarcinoma (non-ADC) histology. In multivariate analysis, VRR during RT, and chemotherapy (CTx) administration remained related to PFS and OS, while initial GTV remained a significant determinant for OS. In subgroup analyses, and CTx (p = 0.038) affected PFS among non-ADC patients, with initial GTV (p = 0.058) and VRR (p = 0.08) showing non-significant trends. Initial GTV (p = 0.023), VRR (p = 0.038), and CTx (p = 0.01) remained significant predictors for OS in the non-ADC group. CONCLUSION Worse tumor control and OS in non-ADC patients are observed with more marked RT-induced tumor shrinkage, supporting the development of response-adaptive treatment strategies, particularly in non-ADC NSCLC patients.
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Affiliation(s)
- Khaled Elsayad
- Radiation Oncology Department, University Hospital Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany.
| | - Laith Samhouri
- Radiation Oncology Department, University Hospital Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany
| | - Sergiu Scobioala
- Radiation Oncology Department, University Hospital Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany
| | - Uwe Haverkamp
- Radiation Oncology Department, University Hospital Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany
| | - Hans Theodor Eich
- Radiation Oncology Department, University Hospital Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany
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Prognostic implications of the co-detection of the urokinase plasminogen activator system and osteopontin in patients with non-small-cell lung cancer undergoing radiotherapy and correlation with gross tumor volume. Strahlenther Onkol 2018; 194:539-551. [PMID: 29340706 DOI: 10.1007/s00066-017-1255-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2017] [Accepted: 12/19/2017] [Indexed: 01/09/2023]
Abstract
BACKGROUND The urokinase plasminogen activator system (uPA, uPAR, PAI‑1) is upregulated in cancer and high plasma levels are associated with poor prognosis. Their interaction with hypoxia-related osteopontin (OPN) which is also overexpressed in malignant tumors suggests potential clinical relevance. However, the prognostic role of the uPA system in the radiotherapy (RT) of non-small-cell lung cancer (NSCLC), particularly in combination with OPN, has not been investigated so far. METHODS uPA, uPAR, PAI‑1 and OPN plasma levels of 81 patients with locally advanced or metastasized NSCLC were prospectively analyzed by ELISA before RT and were correlated to clinical patient/tumor data and prognosis after RT. RESULTS uPAR plasma levels were higher in M1; uPA and PAI‑1 levels were higher in M0 NSCLC patients. uPAR correlated with uPA (p < 0.001) which also correlated with PAI‑1 (p < 0.001). The prognostic impact of OPN plasma levels in the RT of NSCLC was previously reported by our group. PAI‑I plasma levels significantly impacted overall (OS) and progression-free survival (PFS). Low PAI‑1 levels were associated with a significantly reduced OS and PFS with a nearly 2‑fold increased risk of death (p = 0.029) and tumor progression (p = 0.029). In multivariate analysis, PAI‑1 levels remained an independent prognostic factor for OS and PFS with a 3‑fold increased risk of death (p = 0.001). If PAI‑1 plasma levels were combined with OPN or tumor volume, we found an additive prognostic impact on OS and PFS with a 2.5- to 3‑fold increased risk of death (p = 0.01). CONCLUSION Our results suggest that PAI-1 but not uPA and uPAR might add prognostic information in patients with advanced NSCLC undergoing RT. High pretreatment PAI-1 plasma levels were found predominantly in M0-stage patients and indicate a favorable prognosis as opposed to OPN where high plasma levels are associated with poor survival and metastasis. In combination, PAI-1 and OPN levels successfully predicted outcome and additively correlated with prognosis. These findings support the notion of an antidromic prognostic impact of OPN and PAI-1 plasma levels in the RT of advanced NSCLC.
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