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Kim S, Byun HK, Shin J, Lee IJ, Sung W. Normal Tissue Complication Probability Modeling of Severe Radiation-Induced Lymphopenia Using Blood Dose for Patients With Hepatocellular Carcinoma. Int J Radiat Oncol Biol Phys 2024; 119:1011-1020. [PMID: 38056776 DOI: 10.1016/j.ijrobp.2023.11.060] [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: 06/26/2023] [Revised: 10/24/2023] [Accepted: 11/25/2023] [Indexed: 12/08/2023]
Abstract
PURPOSE This study aimed to develop a normal tissue complication probability (NTCP) model to estimate the risk of severe radiation-induced lymphopenia (SRIL; absolute lymphocyte count [ALC] < 500/μL) by using the blood dose of patients with hepatocellular carcinoma (HCC). METHODS AND MATERIALS We retrospectively collected data from 75 patients with HCC who received radiation therapy (RT) between 2015 and 2018. The hematological dose framework calculated blood dose-volume histograms (DVHs) using a predefined blood flow model, organ DVHs, the number of treatment fractions, and beam delivery time. A Lyman-Kutcher-Burman model with a generalized equivalent dose was used to establish the NTCP model, reflecting the whole-blood DVHs. Optimization of the Lyman-Kutcher-Burman parameters was conducted by minimizing a negative log-likelihood function. RESULTS There were 6, 4, 18, 33, and 14 patients in the groups with radiation-induced lymphopenia grades 0, 1, 2, 3, and 4, respectively. The median pre- and post-RT ALC values were 1410/μL (range, 520-3710/μL) and 470/μL (range, 60-1760/μL), respectively. There was a correlation between mean blood dose and ALC depletion (Pearson r = -0.664; P < .001). The average mean blood doses in each radiation-induced lymphopenia group were 2.90 Gy (95% CI, 1.96-3.85 Gy) for grade 0 to 1, 5.29 Gy (95% CI, 4.12-6.45 Gy) for grade 2, 8.81 Gy (95% CI, 7.55-10.07 Gy) for grade 3, and 11.69 Gy (95% CI, 9.82-17.57 Gy) for grade 4. When applying the developed NTCP model to predict SRIL, the area under the receiver operating characteristic curve and Brier score values were 0.89 and 0.12, respectively. CONCLUSIONS We developed the first NTCP model based on whole-blood DVHs for estimating SRIL after abdominal RT in patients with HCC. Our results showed a strong correlation between blood dose and ALC depletion, suggesting the potential to predict the risk of SRIL occurrence using blood dose.
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Affiliation(s)
- Seohan Kim
- Deparments of Biomedical Engineering and Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Hwa Kyung Byun
- Department of Radiation Oncology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - Jungwook Shin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Ik Jae Lee
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.
| | - Wonmo Sung
- Deparments of Biomedical Engineering and Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
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2
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Li Y, Fan X, Pei Y, Yu Q, Lu R, Jiang G, Wu K. The impact of different modalities of chemoradiation therapy and chemotherapy regimens on lymphopenia in patients with locally advanced non-small cell lung cancer. Transl Lung Cancer Res 2024; 13:1190-1200. [PMID: 38973960 PMCID: PMC11225056 DOI: 10.21037/tlcr-24-60] [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: 01/18/2024] [Accepted: 05/10/2024] [Indexed: 07/09/2024]
Abstract
Background Chemotherapy and radiotherapy (RT) would induce lymphopenia, leading to a poor prognosis. This study investigated whether chemotherapy increased lymphopenia during RT and explored the impacts of different chemotherapy regimens on the lymphocyte counts of patients receiving RT. Methods Clinical parameters and lymphocyte data were collected from 215 patients with locally advanced non-small cell lung cancer (LA-NSCLC). Severe lymphopenia (SRL) was defined as an absolute lymphocyte count (ALC) of ≤0.2×103 cells/μL. Patient overall survival (OS) was analyzed using the Kaplan-Meier method. The predictors of SRL were extracted using univariate and multivariate regression analyses with backward likelihood ratio elimination. Results Compared with patients without SRL, patients with SRL with LA-NSCLC showed a poorer prognosis in terms of OS (P=0.003). Of the 215 patients, 130 underwent concurrent chemoradiotherapy (CCRT) and 85 underwent sequential chemoradiotherapy (SCRT). The OS was better in patients without SRL (in the CCRT group, P=0.01 and in the SCRT group, P=0.08). The mean ALCs for CCRT and SCRT did not differ significantly (P=0.27). The minimum ALC of CCRT was significantly lower than that of SCRT (P<0.0001). CCRT was a predictor of SRL (P=0.008). However, multivariate analysis showed that the different chemotherapy regimens were not predictors of SRL (all P>0.1). Conclusions In LA-NSCLC, the outcomes of patients with SRL were poorer than those without SRL. RT and chemotherapy were the main factors affecting SRL development, while different chemotherapy regimens were not significantly associated with lymphocyte counts in LA-NSCLC.
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Affiliation(s)
- Yaqi Li
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy, Shanghai, China
| | - Xingwen Fan
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
| | - Yulei Pei
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
| | - Qi Yu
- Department of Clinical Laboratory, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Renquan Lu
- Department of Clinical Laboratory, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Guoliang Jiang
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy, Shanghai, China
| | - Kailiang Wu
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy, Shanghai, China
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
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Deng J, Gong C, Xiao Q, Xu B, Li H, Wu Z, Xiao Q, Gu P, Li Q, Li B, Wang Y, Lin B, Xu K. Efficacy of Shenglin decoction in preventing acute severe lymphocytopenia in patients with non-small cell lung cancer undergoing concurrent chemoradiotherapy: a study protocol for a randomized controlled trial. Front Oncol 2024; 14:1378662. [PMID: 38779093 PMCID: PMC11109395 DOI: 10.3389/fonc.2024.1378662] [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: 01/30/2024] [Accepted: 04/24/2024] [Indexed: 05/25/2024] Open
Abstract
Background Definitive concurrent chemoradiotherapy (CCRT) followed by maintenance therapy with immune checkpoint inhibitors offers the best chance of cure for patients with stage III non-small cell lung cancer (NSCLC). A significant challenge in this regimen is the occurrence of acute severe lymphopenia (ASL), which can compromise treatment efficacy. Currently, there are no effective strategies for preventing and treating ASL. Shenglin decoction (SLD), a traditional Chinese herbal medicine formulation, has demonstrated preliminary efficacy in mitigating ASL. However, robust evidence from clinical trials and a clear understanding of its mechanism of action are still needed. This study aims to comprehensively assess the efficacy, safety, and underlying mechanisms of SLD in the prevention of ASL. Methods This prospective, dual-center, open-label, randomized controlled trial will enroll 140 stage III NSCLC patients. Participants will be randomly allocated in a 1:1 ratio to a control group or an experimental group. Both groups will undergo definitive CCRT. Alongside the commencement of CCRT, the experimental group will receive an additional oral SLD intervention for a duration of three months. The primary outcome is the incidence rate of ASL, defined as the proportion of patients who experience at least one instance of a total lymphocyte count falling below 0.5 × 10^9 cells/L within 3 months of initiating CCRT treatment. Additionally, 16S rRNA gene sequencing analysis of fecal samples to assess gut microbiota, as well as metabolomic analysis of fecal/blood samples, will be conducted to explore potential mechanisms. Discussion This study protocol aims to rigorously evaluate the efficacy and safety of SLD, as well as elucidate its mechanism of action in preventing ASL. Successful outcomes could establish SLD as an evidence-based intervention for ASL prevention in NSCLC patients undergoing CCRT. Trial Registration The trial was registered at the Chinese Clinical Trials Registry (ChiCTR2300071788, https://www.chictr.org.cn/).
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Affiliation(s)
- Jiayao Deng
- Department of Oncology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Cuicui Gong
- Clinical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qi Xiao
- Health Management Center, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Bo Xu
- Clinical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Huakang Li
- Clinical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ziliang Wu
- Health Management Center, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qian Xiao
- Clinical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Pengxuan Gu
- Clinical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qiang Li
- Department of Oncology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Bin Li
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Yue Wang
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Bing Lin
- Health Management Center, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ke Xu
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
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Wisdom AJ, Barker CA, Chang JY, Demaria S, Formenti S, Grassberger C, Gregucci F, Hoppe BS, Kirsch DG, Marciscano AE, Mayadev J, Mouw KW, Palta M, Wu CC, Jabbour SK, Schoenfeld JD. The Next Chapter in Immunotherapy and Radiation Combination Therapy: Cancer-Specific Perspectives. Int J Radiat Oncol Biol Phys 2024; 118:1404-1421. [PMID: 38184173 DOI: 10.1016/j.ijrobp.2023.12.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 12/20/2023] [Accepted: 12/30/2023] [Indexed: 01/08/2024]
Abstract
Immunotherapeutic agents have revolutionized cancer treatment over the past decade. However, most patients fail to respond to immunotherapy alone. A growing body of preclinical studies highlights the potential for synergy between radiation therapy and immunotherapy, but the outcomes of clinical studies have been mixed. This review summarizes the current state of immunotherapy and radiation combination therapy across cancers, highlighting existing challenges and promising areas for future investigation.
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Affiliation(s)
- Amy J Wisdom
- Harvard Radiation Oncology Program, Boston, Massachusetts
| | - Christopher A Barker
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Joe Y Chang
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sandra Demaria
- Department of Radiation Oncology, Weill Cornell Medicine, New York, New York
| | - Silvia Formenti
- Department of Radiation Oncology, Weill Cornell Medicine, New York, New York
| | - Clemens Grassberger
- Department of Radiation Oncology, University of Washington, Fred Hutch Cancer Center, Seattle, Washington
| | - Fabiana Gregucci
- Department of Radiation Oncology, Weill Cornell Medicine, New York, New York
| | - Bradford S Hoppe
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida
| | - David G Kirsch
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Ariel E Marciscano
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Jyoti Mayadev
- Department of Radiation Oncology, UC San Diego School of Medicine, San Diego, California
| | - Kent W Mouw
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Manisha Palta
- Department of Radiation Oncology, Duke Cancer Center, Durham, North Carolina
| | - Cheng-Chia Wu
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York
| | - Salma K Jabbour
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.
| | - Jonathan D Schoenfeld
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, Massachusetts.
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5
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Durante M. Kaplan lecture 2023: lymphopenia in particle therapy. Int J Radiat Biol 2024; 100:669-677. [PMID: 38442137 DOI: 10.1080/09553002.2024.2324472] [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: 01/10/2024] [Accepted: 02/02/2024] [Indexed: 03/07/2024]
Abstract
PURPOSE Lymphopenia is now generally recognized as a negative prognostic factor in radiotherapy. Already at the beginning of the century we demonstrated that high-energy carbon ions induce less damage to the lymphocytes of radiotherapy patients than X-rays, even if heavy ions are more effective per unit dose in the induction of chromosomal aberrations in blood cells irradiated ex-vivo. The explanation was based on the volume effect, i.e. the sparing of larger volumes of normal tissue in Bragg peak therapy. Here we will review the current knowledge about the difference in lymphopenia between particle and photon therapy and the consequences. CONCLUSIONS There is nowadays an overwhelming evidence that particle therapy reduces significantly the radiotherapy-induced lymphopenia in several tumor sites. Because lymphopenia turns down the immune response to checkpoint inhibitors, it can be predicted that particle therapy may be the ideal partner for combined radiation and immunotherapy treatment and should be selected for patients where severe lymphopenia is expected after X-rays.
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Affiliation(s)
- Marco Durante
- Biophysics Department, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
- Institute for Condensed Matter Physics, Technische Universität Darmstadt, Darmstadt, Germany
- Dipartimento di Fisica "Ettore Pancini", Università Federico II, Naples, Italy
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Cella L, Monti S, Pacelli R, Palma G. Modeling frameworks for radiation induced lymphopenia: A critical review. Radiother Oncol 2024; 190:110041. [PMID: 38042499 DOI: 10.1016/j.radonc.2023.110041] [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: 09/11/2023] [Revised: 11/17/2023] [Accepted: 11/25/2023] [Indexed: 12/04/2023]
Abstract
Radiation-induced lymphopenia (RIL) is a frequent, and often considered unavoidable, side effect of radiation therapy (RT), whether or not chemotherapy is included. However, in the last few years several studies have demonstrated the detrimental effect of RIL on therapeutic outcomes, with conflicting findings concerning possible inferior patient survival. In addition, since immunotherapeutic treatment has become an integral part of cancer therapy, preserving the immune system is recognized as crucial. Given this background, various research groups have reported on different frameworks for modelling RIL, frequently based on different definitions of RIL itself, and discordant results have been reported. Our aim is to critically review the current literature on RIL modelling and summarize the different approaches recently proposed to improve the prediction of RIL after RT and aimed at immunity-sparing RT. A detailed description of these approaches will be outlined and illustrated through their applications as found in the literature from the last five years. Such a critical analysis represents the necessary starting step to develop an effective strategy that ultimately could harmonize the diverse modelling methods.
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Affiliation(s)
- Laura Cella
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy.
| | - Serena Monti
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy
| | - Roberto Pacelli
- Department of Advanced Biomedical Sciences, Federico II School of Medicine, Naples, Italy
| | - Giuseppe Palma
- Institute of Nanotechnology, National Research Council, Lecce, Italy
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7
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Friedes C, Iocolano M, Lee SH, Duan L, Li B, Doucette A, Cohen RB, Aggarwal C, Sun LL, Levin WP, Cengel KA, Kao G, Teo BKK, Langer CJ, Xiao Y, Bradley J, Feigenberg SJ, Yegya-Raman N. The effective radiation dose to immune cells predicts lymphopenia and inferior cancer control in locally advanced NSCLC. Radiother Oncol 2024; 190:110030. [PMID: 38008414 DOI: 10.1016/j.radonc.2023.110030] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 11/14/2023] [Accepted: 11/19/2023] [Indexed: 11/28/2023]
Abstract
PURPOSE To explore the association of the effective dose to immune cells (EDIC) with disease control, lymphopenia, and toxicity in patients with non-small cell lung cancer (NSCLC) and identify methods to reduce EDIC. METHODS We abstracted data from all patients with locally advanced NSCLC treated with chemoradiation with or without consolidative immunotherapy over a ten-year period. Associations between EDIC and progression-free survival (PFS) and overall survival (OS) were modeled with Cox proportional hazards and Kaplan-Meier method. Logistic regression was used to model predictors of lymphopenia and higher EDIC. Analyses were performed with EDIC as a continuous and categorical variable. Lymphopenia was graded per CTCAE v5.0. RESULTS Overall, 786 patients were included (228 of which received consolidative immunotherapy); median EDIC was 4.7 Gy. Patients with EDIC < 4.7 Gy had a longer median PFS (15.3 vs. 9.0 months; p < 0.001) and OS (34.2 vs. 22.4 months; p < 0.001). On multivariable modeling, EDIC correlated with inferior PFS (HR 1.08, 95 % CI 1.01-1.14, p = 0.014) and OS (HR 1.10, 95 % CI 1.04-1.18, p = 0.002). EDIC was predictive of grade 4 lymphopenia (OR 1.16, 95 % CI 1.02-1.33, p = 0.026). EDIC ≥ 4.7 Gy was associated with increased grade 2 + pneumonitis (6-month incidence: 26 % vs 20 %, p = 0.04) and unplanned hospitalizations (90-day incidence: 40 % vs 30 %, p = 0.002). Compared to protons, photon therapy was associated with EDIC ≥ 4.7 Gy (OR 5.26, 95 % CI 3.71-7.69, p < 0.001) in multivariable modeling. CONCLUSIONS EDIC is associated with inferior disease outcomes, treatment-related toxicity, and the development of severe lymphopenia. Proton therapy is associated with lower EDIC. Further investigations to limit radiation dose to the immune system appear warranted.
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Affiliation(s)
- Cole Friedes
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
| | - Michelle Iocolano
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Sang Ho Lee
- Department of Radiation Oncology, Division of Physics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Lian Duan
- Department of Radiation Oncology, Division of Physics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Bolin Li
- Department of Radiation Oncology, Division of Physics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Abigail Doucette
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Roger B Cohen
- Division of Hematology/Oncology University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Charu Aggarwal
- Division of Hematology/Oncology University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Lova L Sun
- Division of Hematology/Oncology University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - William P Levin
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Keith A Cengel
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Gary Kao
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Boon-Keng Kevin Teo
- Department of Radiation Oncology, Division of Physics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Corey J Langer
- Division of Hematology/Oncology University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Ying Xiao
- Department of Radiation Oncology, Division of Physics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Jeffrey Bradley
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Steven J Feigenberg
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Nikhil Yegya-Raman
- Department of Radiation Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
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8
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Zhang Y, Huang C, Li S. Influence of treatment-related lymphopenia on the efficacy of immune checkpoint inhibitors in lung cancer: a meta-analysis. Front Oncol 2023; 13:1287555. [PMID: 38107070 PMCID: PMC10722281 DOI: 10.3389/fonc.2023.1287555] [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: 09/01/2023] [Accepted: 11/07/2023] [Indexed: 12/19/2023] Open
Abstract
Background Treatment-related lymphopenia (TRL) is common in patients with lung cancer, particularly in those with radiotherapy. However, the influence of TRL on the efficacy of immune checkpoint inhibitors (ICIs) for patients with lung cancer remains poorly understood. We performed a systematic review and meta-analysis to investigate the influence of TRL on survival of lung cancer patients on ICIs. Methods In order to accomplish the aim of the meta-analysis, a comprehensive search was conducted on databases including PubMed, Embase, Cochrane Library, and the Web of Science to identify observational studies with longitudinal follow-up. The Cochrane Q test was employed to evaluate heterogeneity among the included studies, while the I2 statistic was estimated. Random-effects models were utilized to merge the results, considering the potential impact of heterogeneity. Results Ten cohort studies with 1130 lung cancer patients who were treated with ICIs were included. Among them, 427 (37.8%) had TRL. Pooled results showed that compared to patients without TRL, patients with TRL were associated with poor progression-free survival (hazard ratio [HR]: 2.05, 95% confidence interval [CI]: 1.62 to 2.60, p < 0.001; I2 = 22%) and overall survival (HR: 2.69, 95% CI: 2.10 to 3.43, p < 0.001; I2 = 0%). Sensitivity analysis limited to patients with non-small cell lung cancer showed similar results (HR: 2.66 and 2.62, both p < 0.05). Moreover, subgroup analyses according to the diagnostic criteria of TRL, regression analysis model (univariate or multivariate), and indications of ICIs (for locally advanced or advanced lung cancer) showed consistent results (p for subgroup difference all > 0.05). Conclusion TRL was associated with poor survival of lung cancer patients who were treated with ICIs.
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Affiliation(s)
| | | | - Shanqing Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
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McWilliam A, Palma G, Abravan A, Acosta O, Appelt A, Aznar M, Monti S, Onjukka E, Panettieri V, Placidi L, Rancati T, Vasquez Osorio E, Witte M, Cella L. Voxel-based analysis: Roadmap for clinical translation. Radiother Oncol 2023; 188:109868. [PMID: 37683811 DOI: 10.1016/j.radonc.2023.109868] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 07/11/2023] [Accepted: 08/20/2023] [Indexed: 09/10/2023]
Abstract
Voxel-based analysis (VBA) allows the full, 3-dimensional, dose distribution to be considered in radiotherapy outcome analysis. This provides new insights into anatomical variability of pathophysiology and radiosensitivity by removing the need for a priori definition of organs assumed to drive the dose response associated with patient outcomes. This approach may offer powerful biological insights demonstrating the heterogeneity of the radiobiology across tissues and potential associations of the radiotherapy dose with further factors. As this methodological approach becomes established, consideration needs to be given to translating VBA results to clinical implementation for patient benefit. Here, we present a comprehensive roadmap for VBA clinical translation. Technical validation needs to demonstrate robustness to methodology, where clinical validation must show generalisability to external datasets and link to a plausible pathophysiological hypothesis. Finally, clinical utility requires demonstration of potential benefit for patients in order for successful translation to be feasible. For each step on the roadmap, key considerations are discussed and recommendations provided for best practice.
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Affiliation(s)
- Alan McWilliam
- The Division of Cancer Sciences, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK.
| | - Giuseppe Palma
- Institute of Nanotechnology, National Research Council, Lecce, Italy.
| | - Azadeh Abravan
- The Division of Cancer Sciences, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - Oscar Acosta
- University Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000, Rennes, France
| | - Ane Appelt
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Marianne Aznar
- The Division of Cancer Sciences, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - Serena Monti
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy
| | - Eva Onjukka
- Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Sweden
| | - Vanessa Panettieri
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; Central Clinical School, Monash University, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria 3010, Australia
| | - Lorenzo Placidi
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Tiziana Rancati
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Eliana Vasquez Osorio
- The Division of Cancer Sciences, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - Marnix Witte
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Laura Cella
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy
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10
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Tseng I, Ai D, Chen Y, Zhu H, Li F, Xu Y, Yu L, Liu Q, Deng J, Hao S, Zhu Z, Zhao W, Fan M, Li L, Su F, Zhao K. Lymphocyte recovery from radiation-induced lymphopenia in locally advanced esophageal squamous cell carcinoma: correlations with prognosis and lymphocyte-related organs. Radiat Oncol 2023; 18:172. [PMID: 37858121 PMCID: PMC10588237 DOI: 10.1186/s13014-023-02354-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 09/25/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND Limited studies explored the relationship between lymphocyte recovery after definitive concurrent chemoradiotherapy (dCCRT) and prognosis in esophageal squamous cell carcinoma (ESCC). METHODS ESCC patients with obtainable absolute lymphocyte counts (ALCs) at 6 months after dCCRT were screened from prospective trials. Patients were divided into groups according to the grade of ALC nadir during radiotherapy (G4 or G1-3) and lymphocyte recovery status, which was assessed by lymphocyte recovery index (LRI), calculated as the ratio of post- to pre-treatment lymphocyte counts. Cox analysis was conducted to evaluate the prognostic significance of lymphocyte recovery status. Irradiated relative volumes of the bone marrow (BM) and spleen and effective dose to immune cells (EDIC) were collected to identify their impacts on lymphocyte recovery status by logistic analysis. RESULTS 232 patients were enrolled. In 69 patients with G4 ALC nadir (group A and B) and 163 patients with G1-3 ALC nadir (group C and D) during dCCRT, 27 (group A) and 67 (group C) patients showed an insufficient level of lymphocyte recovery (LRI < 60%), and 42 (group B) and 96 (group D) patients showed a satisfactory level of lymphocyte recovery (LRI ≥ 60%). Cox multivariable analysis revealed that inadequate lymphocyte recovery was significantly associated with worse overall survival (HR, 2.80 and 1.70) and local recurrence-free survival (HR, 2.82 and 1.60) both in group A vs group B and group C vs group D. Logistic analysis identified BM V5 (OR 4.24 and 2.29) as an independent predictor of inadequate lymphocyte recovery from G4 or G1-3 ALC nadir, respectively. CONCLUSIONS Insufficient lymphocyte recovery might serve as a valuable prognostic factor, regardless of whether patients experienced G4 or G1-3 ALC nadir during radiotherapy. Additionally, it was observed that a larger relative volume of BM receiving ≥ 5 Gy was correlated with a higher risk of insufficient lymphocyte recovery.
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Affiliation(s)
- Ihsuan Tseng
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Dashan Ai
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Yun Chen
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Hongcheng Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Fangfang Li
- Center for Cancer Immunology, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yang Xu
- Department of Medicine, Enhance Human Health Through Pharma Technology Innovation, Shanghai, 201800, China
| | - Lu Yu
- Shanghai Medical College of Fudan University, Shanghai, 200032, China
| | - Qi Liu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Jiaying Deng
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Shengnan Hao
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Zhengfei Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Weixin Zhao
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Min Fan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Ling Li
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Fengtao Su
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China.
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
| | - Kuaile Zhao
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, 200032, China.
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China.
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11
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Sosa-Marrero C, Acosta O, Pasquier D, Thariat J, Delpon G, Fiorino C, Rancatti T, Malard O, Foray N, de Crevoisier R. Voxel-wise analysis: A powerful tool to predict radio-induced toxicity and potentially perform personalised planning in radiotherapy. Cancer Radiother 2023; 27:638-642. [PMID: 37517974 DOI: 10.1016/j.canrad.2023.06.024] [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: 06/22/2023] [Accepted: 06/27/2023] [Indexed: 08/01/2023]
Abstract
Dose - volume histograms have been historically used to study the relationship between the planned radiation dose and healthy tissue damage. However, this approach considers neither spatial information nor heterogenous radiosensitivity within organs at risk, depending on the tissue. Recently, voxel-wise analyses have emerged in the literature as powerful tools to fully exploit three-dimensional information from the planned dose distribution. They allow to identify anatomical subregions of one or several organs in which the irradiation dose is associated with a given toxicity. These methods rely on an accurate anatomical alignment, usually obtained by means of a non-rigid registration. Once the different anatomies are spatially normalised, correlations between the three-dimensional dose and a given toxicity can be explored voxel-wise. Parametric or non-parametric statistical tests can be performed on every voxel to identify the voxels in which the dose is significantly different between patients presenting or not toxicity. Several anatomical subregions associated with genitourinary, gastrointestinal, cardiac, pulmonary or haematological toxicity have already been identified in the literature for prostate, head and neck or thorax irradiation. Voxel-wise analysis appears therefore first particularly interesting to increase toxicity prediction capability by identifying specific subregions in the organs at risk whose irradiation is highly predictive of specific toxicity. The second interest is potentially to decrease the radio-induced toxicity by limiting the dose in the predictive subregions, while not decreasing the dose in the target volume. Limitations of the approach have been pointed out.
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Affiliation(s)
- C Sosa-Marrero
- Université de Rennes, CLCC Eugène-Marquis, Inserm, LTSI - UMR 1099, 35000 Rennes, France
| | - O Acosta
- Université de Rennes, CLCC Eugène-Marquis, Inserm, LTSI - UMR 1099, 35000 Rennes, France
| | - D Pasquier
- Radiotherapy Department, centre Oscar-Lambret, 59000 Lille, France; Université de Lille, CNRS, école centrale de Lille, Cristal UMR 9189, Lille, France
| | - J Thariat
- Department of Radiation Oncology, centre François-Baclesse, 14000 Caen, France
| | - G Delpon
- Medical physics department, institut de cancérologie de l'Ouest, IMT Atlantique, Nantes université, CNRS/IN2P3, Subatech, Nantes, France
| | - C Fiorino
- Medical Physics, San Raffaele Scientific Institute, Via Olgettina 690, 20132 Milan, Italy
| | - T Rancatti
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - O Malard
- Service de chirurgie oto-rhinolaryngologique (ORL) et chirurgie cervicofaciale, Hôtel-Dieu, CHU de Nantes, Nantes, France
| | - N Foray
- Centre Léon-Bérard, Inserm U1296 "Radiation: Defense/Health/Environment", 69008 Lyon, France
| | - R de Crevoisier
- Université de Rennes, CLCC Eugène-Marquis, Inserm, LTSI - UMR 1099, 35000 Rennes, France; Département de radiothérapie, centre Eugène-Marquis, 35000 Rennes, France.
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12
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McCullum L, Shin J, Xing S, Beekman C, Schuemann J, Hong T, Duda D, Mohan R, Lin SH, Correa-Alfonso CM, Domal S, Withrow J, Bolch W, Paganetti H, Grassberger C. Predicting Severity of Radiation Induced Lymphopenia in Individual Proton Therapy Patients for Varying Dose Rate and Fractionation Using Dynamic 4-Dimensional Blood Flow Simulations. Int J Radiat Oncol Biol Phys 2023; 116:1226-1233. [PMID: 36739919 PMCID: PMC10363211 DOI: 10.1016/j.ijrobp.2023.01.054] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 01/11/2023] [Accepted: 01/27/2023] [Indexed: 02/05/2023]
Abstract
PURPOSE Radiation-induced lymphopenia has gained attention recently as the result of its correlation with survival in a range of indications, particularly when combining radiation therapy (RT) with immunotherapy. The purpose of this study is to use a dynamic blood circulation model combined with observed lymphocyte depletion in patients to derive the in vivo radiosensitivity of circulating lymphocytes and study the effect of RT delivery parameters. METHODS AND MATERIALS We assembled a cohort of 17 patients with hepatocellular carcinoma treated with proton RT alone in 15 fractions (fx) using conventional dose rates (beam-on time [BOT], 120 seconds) for whom weekly absolute lymphocyte counts (ALCs) during RT and follow-up were available. We used HEDOS, a time-dependent, whole-body, blood flow computational framework, in combination with explicit liver blood flow modeling, to calculate the dose volume histograms for circulating lymphocytes for changing BOTs (1 second-300 seconds) and fractionations (5 fx, 15 fx). From this, we used the linear cell survival model and an exponential model to determine patient-specific lymphocyte radiation sensitivity, α, and recovery, σ, respectively. RESULTS The in vivo-derived patient-specific α had a median of 0.65 Gy-1 (range, 0.30-1.38). Decreasing BOT to 1 second led to an increased average end-of-treatment ALC of 27.5%, increasing to 60.3% when combined with the 5-fx regimen. Decreasing to 5 fx at the conventional dose rate led to an increase of 17.0% on average. The benefit of both increasing dose rate and reducing the number of fractions was patient specificࣧpatients with highly sensitive lymphocytes benefited most from decreasing BOT, whereas patients with slow lymphocyte recovery benefited most from the shorter fractionation regimen. CONCLUSIONS We observed that increasing dose rate at the same fractionation reduced ALC depletion more significantly than reducing the number of fractions. High-dose-rates led to an increased sparing of lymphocytes when shortening the fractionation regimen, particularly for patients with radiosensitive lymphocytes at elevated risk.
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Affiliation(s)
- Lucas McCullum
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
| | - Jungwook Shin
- Radiation Epidemiology Branch, National Cancer Institute, Rockville, Maryland
| | - Stella Xing
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Chris Beekman
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jan Schuemann
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Theodore Hong
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Dan Duda
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Radhe Mohan
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Steven H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Camilo M Correa-Alfonso
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Sean Domal
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Julia Withrow
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Wesley Bolch
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Harald Paganetti
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Clemens Grassberger
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
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13
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Pasquier C, Chaltiel L, Massabeau C, Rabeau A, Lebas L, Lusque A, Texier JS, Moyal ECJ, Mazières J, Khalifa J. Impact of radiation on host immune system in patients treated with chemoradiotherapy and durvalumab consolidation for unresectable locally advanced non-small cell lung cancer. Front Oncol 2023; 13:1186479. [PMID: 37397359 PMCID: PMC10313116 DOI: 10.3389/fonc.2023.1186479] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
Background The optimal modalities of radiotherapy when combining concurrent chemoradiation (CCRT) and immunotherapy (IO) for locally advanced non-small cell lung cancer (LA-NSCLC) remain to be determined. The aim of this study was to investigate the impact of radiation on different immune structures and immune cells in patients treated with CCRT followed by durvalumab. Material and methods Clinicopathologic data, pre- and post-treatment blood counts, and dosimetric data were collected in patients treated with CCRT and durvalumab consolidation for LA-NSCLC. Patients were divided into two groups according to the inclusion (NILN-R+) or not (NILN-R-) of at least one non-involved tumor-draining lymph node (NITDLN) in the clinical target volume (CTV). Progression-free survival (PFS) and overall survival (OS) were estimated by the Kaplan-Meier method. Results Fifty patients were included with a median follow-up of 23.2 months (95% CI 18.3-35.2). Two-year PFS and 2-year OS were 52.2% (95% CI 35.8-66.3) and 66.2% (95% CI 46.5-80.1), respectively. In univariable analysis, NILN-R+ (hazard ratio (HR) 2.60, p = 0.028), estimated dose of radiation to immune cells (EDRIC) >6.3 Gy (HR 3.19, p = 0.049), and lymphopenia ≤ 500/mm3 at IO initiation (HR 2.69, p = 0.021) were correlated with poorer PFS; lymphopenia ≤ 500/mm3 was also associated with poorer OS (HR 3.46, p = 0.024). In multivariable analysis, NILN-R+ was the strongest factor associated with PFS (HR 3.15, p = 0.017). Conclusion The inclusion of at least one NITDLN station within the CTV was an independent factor for poorer PFS in the context of CCRT and durvalumab for LA-NSCLC. The optimal sparing of immune structures might help in achieving better synergy between radiotherapy and immunotherapy in this indication.
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Affiliation(s)
- Corentin Pasquier
- Department of Radiation Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Léonor Chaltiel
- Department of Biostatistics, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Carole Massabeau
- Department of Radiation Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Audrey Rabeau
- Department of Thoracic Oncology, Centre Hospitalier Universitaire de Toulouse, Hôpital Larrey, Toulouse, France
| | - Louisiane Lebas
- Department of Pulmonology, Centre Hospitalier Intercommunal des Vallées de l’Ariège (CHIVA), Saint-Jean-de-Verges, France
| | - Amélie Lusque
- Department of Biostatistics, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Jean-Sébastien Texier
- Department of Nuclear Medicine, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Elizabeth Cohen-Jonathan Moyal
- Department of Radiation Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
- Université de Toulouse III Paul Sabatier, Toulouse, France
- Institut National de la Santé et de la Recherche Médicale U1037, Centre de Recherche contre le Cancer de Toulouse, Toulouse, France
| | - Julien Mazières
- Department of Thoracic Oncology, Centre Hospitalier Universitaire de Toulouse, Hôpital Larrey, Toulouse, France
- Université de Toulouse III Paul Sabatier, Toulouse, France
| | - Jonathan Khalifa
- Department of Radiation Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
- Université de Toulouse III Paul Sabatier, Toulouse, France
- Institut National de la Santé et de la Recherche Médicale U1037, Centre de Recherche contre le Cancer de Toulouse, Toulouse, France
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14
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Kuge T, Shiroyama T, Tamiya A, Tamiya M, Kanazu M, Kinehara Y, Tanaka T, Morimura O, Taniguchi Y, Niki T, Tetsumoto S, Hayashi K, Nishino K, Nagatomo I, Kumanogoh A. Impact of Lymphopenia Recovery After Chemoradiotherapy on Durvalumab Consolidation Therapy in Stage III NSCLC. JTO Clin Res Rep 2023; 4:100505. [PMID: 37284296 PMCID: PMC10239913 DOI: 10.1016/j.jtocrr.2023.100505] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/16/2023] [Accepted: 03/18/2023] [Indexed: 06/08/2023] Open
Abstract
Introduction Durvalumab maintenance therapy after definitive concurrent chemoradiotherapy (CRT) is the standard treatment modality for stage III NSCLC. Although severe treatment-related lymphopenia (TRL) during CRT may impair the efficacy of subsequent durvalumab therapy, data on the effect of TRL recovery on consolidation durvalumab therapy are lacking. Methods This retrospective study evaluated patients with unresectable stage III NSCLC treated with durvalumab after concurrent CRT. The patients were enrolled across nine institutes throughout Japan between August 2018 and March 2020. The effect of TRL recovery on survival was evaluated. The patients were divided into two groups on the basis of their lymphocyte recovery status: the recovery group involved patients who did not experience severe TRL or experienced TRL but exhibited lymphocyte count recovery at durvalumab initiation, and the nonrecovery group involved patients who experienced severe TRL and did not exhibit lymphocyte count recovery on durvalumab initiation. Results Among the 151 patients evaluated, 41 (27%) and 110 (73%) patients were classified into the recovery and the nonrecovery groups, respectively. The nonrecovery group had significantly worse progression-free survival than the recovery group (21.9 mo versus not reached, p = 0.018). Recovery from TRL (p = 0.027) and high pre-CRT lymphocyte count (p = 0.028) independently influenced progression-free survival. Conclusions Baseline lymphocyte count and recovery from TRL at the start of durvalumab therapy were predictive factors for survival outcomes in patients with NSCLC treated with durvalumab consolidation after concurrent CRT.
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Affiliation(s)
- Tomoki Kuge
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Thoracic Oncology, National Hospital Organization Osaka Toneyama Medical Center, Osaka, Japan
| | - Takayuki Shiroyama
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Akihiro Tamiya
- Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Osaka, Japan
| | - Motohiro Tamiya
- Department of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Masaki Kanazu
- Department of Thoracic Oncology, National Hospital Organization Osaka Toneyama Medical Center, Osaka, Japan
| | - Yuhei Kinehara
- Department of Respiratory Medicine and Clinical Immunology, Nippon Life Hospital, Osaka, Japan
| | - Tsunehiro Tanaka
- Department of Respiratory Medicine, Osaka Police Hospital, Osaka, Japan
| | - Osamu Morimura
- Department of Internal Medicine, Toyonaka Municipal Hospital, Osaka, Japan
| | - Yoshihiko Taniguchi
- Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Osaka, Japan
| | - Toshie Niki
- Department of Respiratory Medicine, Nishinomiya Municipal Central Hospital, Hyogo, Japan
| | - Satoshi Tetsumoto
- Department of Respiratory Medicine and Clinical Immunology, Suita Municipal Hospital, Osaka, Japan
| | - Kazuhiko Hayashi
- Department of Radiation Oncology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kazumi Nishino
- Department of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Izumi Nagatomo
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Immunopathology, World Premier International (WPI), Immunology Frontier Research Center (iFReC), Osaka University, Osaka, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan
- Center for Infectious Diseases for Education and Research (CiDER), Osaka University, Suita, Osaka, Japan
- Japan Agency for Medical Research and Development – Core Research for Evolutional Science and Technology (AMED–CREST), Osaka University, Osaka, Japan
- Center for Advanced Modalities and DDS (CAMaD), Osaka University, Osaka, Japan
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15
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Kim Y, Chamseddine I, Cho Y, Kim JS, Mohan R, Shusharina N, Paganetti H, Lin S, Yoon HI, Cho S, Grassberger C. Neural network based ensemble model to predict radiation induced lymphopenia after concurrent chemo-radiotherapy for non-small cell lung cancer from two institutions. Neoplasia 2023; 39:100889. [PMID: 36931040 PMCID: PMC10025955 DOI: 10.1016/j.neo.2023.100889] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/10/2022] [Accepted: 02/13/2023] [Indexed: 03/17/2023]
Abstract
The use of adjuvant Immune Checkpoint Inhibitors (ICI) after concurrent chemo-radiation therapy (CCRT) has become the standard of care for locally advanced non-small cell lung cancer (LA-NSCLC). However, prolonged radiotherapy regimens are known to cause radiation-induced lymphopenia (RIL), a long-neglected toxicity that has been shown to correlate with response to ICIs and survival of patients treated with adjuvant ICI after CCRT. In this study, we aim to develop a novel neural network (NN) approach that integrates patient characteristics, treatment related variables, and differential dose volume histograms (dDVH) of lung and heart to predict the incidence of RIL at the end of treatment. Multi-institutional data of 139 LA-NSCLC patients from two hospitals were collected for training and validation of our suggested model. Ensemble learning was combined with a bootstrap strategy to stabilize the model, which was evaluated internally using repeated cross validation. The performance of our proposed model was compared to conventional models using the same input features, such as Logistic Regression (LR) and Random Forests (RF), using the Area Under the Curve (AUC) of Receiver Operating Characteristics (ROC) curves. Our suggested model (AUC=0.77) outperformed the comparison models (AUC=0.72, 0.74) in terms of absolute performance, indicating that the convolutional structure of the network successfully abstracts additional information from the differential DVHs, which we studied using Gradient-weighted Class Activation Map. This study shows that clinical factors combined with dDVHs can be used to predict the risk of RIL for an individual patient and shows a path toward preventing lymphopenia using patient-specific modifications of the radiotherapy plan.
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Affiliation(s)
- Yejin Kim
- Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea; Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ibrahim Chamseddine
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Yeona Cho
- Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea
| | - Jin Sung Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Radhe Mohan
- Division of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Nadya Shusharina
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Harald Paganetti
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Steven Lin
- Division of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Hong In Yoon
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Seungryong Cho
- Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
| | - Clemens Grassberger
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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16
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Kim KH, Oh J, Yoon HI. Sinoatrial Node Radiation Dose and Atrial Fibrillation in Patients With Lung Cancer-Reply. JAMA Oncol 2023; 9:574. [PMID: 36795399 DOI: 10.1001/jamaoncol.2022.7878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Affiliation(s)
- Kyung Hwan Kim
- Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jaewon Oh
- Severance Cardiovascular Hospital and Cardiovascular Research Institute, Cardiology Division, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hong In Yoon
- Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Republic of Korea
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Kim N, Shin J, Ahn SH, Pyo H, Noh JM, Yang K, Lee W, Park B. Reduced radiation exposure to circulating blood cells in proton therapy compared with X-ray therapy in locally advanced lung cancer: Computational simulation based on circulating blood cells. Front Oncol 2023; 13:1119173. [PMID: 36923437 PMCID: PMC10009224 DOI: 10.3389/fonc.2023.1119173] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/14/2023] [Indexed: 03/03/2023] Open
Abstract
Background We estimated the dose of circulating blood cells (CBCs) in patients with locally advanced non-small cell lung cancer for predicting severe radiation-induced lymphopenia (SRIL) and compared pencil-beam scanning proton therapy (PBSPT) and intensity-modulated (photon) radiotherapy (IMRT). Materials and methods After reviewing 325 patients who received definitive chemoradiotherapy with PBSPT (n = 37) or IMRT (n = 164). SRIL was diagnosed when two or more events of an absolute lymphocyte count < 200 µL occurred during the treatment course. Dose information for the heart and lungs was utilized for the time-dependent computational dose calculation of CBCs. Results The dose distribution of CBCs was significantly lesser in the PBSPT group than that in the IMRT group. Overall, 75 (37.3%) patients experienced SRIL during the treatment course; 72 and 3 patients were treated with IMRT and PBSPT, respectively. SRIL was associated with poor progression-free and overall survival outcomes. Upon incorporating the dose information of CBCs for predicting SRIL, CBC D90% > 2.6 GyE was associated with the development of SRIL with the baseline lymphocyte count and target volume. Furthermore, PBSPT significantly reduced the dose of CBC D90% (odds ratio = 0.11; p = 0.004) compared with IMRT. Conclusion The results of this study demonstrate the significance of the dose distribution of CBCs in predicting SRIL. Furthermore, reducing the dose of CBCs after PBSPT minimized the risk of SRIL. Lymphocyte-sparing radiotherapy in PBSPT could improve outcomes, particularly in the setting of maintenance immunotherapy.
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Affiliation(s)
- Nalee Kim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jungwook Shin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States
| | - Sung Hwan Ahn
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hongryull Pyo
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae Myoung Noh
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyungmi Yang
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Woojin Lee
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Byoungsuk Park
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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18
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Helm A, Totis C, Durante M, Fournier C. Are charged particles a good match for combination with immunotherapy? Current knowledge and perspectives. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2023; 376:1-36. [PMID: 36997266 DOI: 10.1016/bs.ircmb.2023.01.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Charged particle radiotherapy, mainly using protons and carbon ions, provides physical characteristics allowing for a volume conformal irradiation and a reduction of the integral dose to normal tissue. Carbon ion therapy additionally features an increased biological effectiveness resulting in peculiar molecular effects. Immunotherapy, mostly performed with immune checkpoint inhibitors, is nowadays considered a pillar in cancer therapy. Based on the advantageous features of charged particle radiotherapy, we review pre-clinical evidence revealing a strong potential of its combination with immunotherapy. We argue that the combination therapy deserves further investigation with the aim of translation in clinics, where a few studies have been set up already.
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Affiliation(s)
- A Helm
- Biophysics Department, GSI, Darmstadt, Germany
| | - C Totis
- Biophysics Department, GSI, Darmstadt, Germany
| | - M Durante
- Biophysics Department, GSI, Darmstadt, Germany.
| | - C Fournier
- Biophysics Department, GSI, Darmstadt, Germany
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de Kermenguy F, Meziani L, Mondini M, Clémenson C, Morel D, Deutsch E, Robert C. Radio-induced lymphopenia in the era of anti-cancer immunotherapy. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2023. [DOI: 10.1016/bs.ircmb.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
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Impact of antibiotic use before definitive concurrent chemoradiation in patients with locally advanced non-small cell lung cancer. Strahlenther Onkol 2022:10.1007/s00066-022-02027-9. [DOI: 10.1007/s00066-022-02027-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 11/06/2022] [Indexed: 12/13/2022]
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21
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Vozenin MC, Bourhis J, Durante M. Towards clinical translation of FLASH radiotherapy. Nat Rev Clin Oncol 2022; 19:791-803. [DOI: 10.1038/s41571-022-00697-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2022] [Indexed: 11/09/2022]
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22
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Kang BH, Li X, Son J, Song C, Kang HC, Kim HJ, Wu HG, Lee JH. Prediction and clinical impact of delayed lymphopenia after chemoradiotherapy in locally advanced non-small cell lung cancer. Front Oncol 2022; 12:891221. [PMID: 36059659 PMCID: PMC9437922 DOI: 10.3389/fonc.2022.891221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 08/03/2022] [Indexed: 11/24/2022] Open
Abstract
Introduction The dosimetric factors of radiotherapy have an acute impact on the host immune system during chemoradiotherapy (CRT) in locally advanced non-small cell lung cancer (NSCLC). However, even after CRT, a substantial number of patients remain immunosuppressed with delayed lymphopenia. Therefore, we aimed to evaluate clinical and dose-volumetric predictors of delayed lymphopenia after CRT in locally advanced NSCLC. Materials and methods We retrospectively reviewed 272 patients with locally advanced NSCLC who received definitive CRT from January 2012 to August 2020. Differential blood count data, including serum albumin values, were obtained at baseline, during and at first follow up after CRT. Acute and delayed lymphopenia events were defined as grade III/IV lymphopenia developed during or 4-12 weeks after CRT completion, which accounted for 84% and 10% of cases, respectively. Dose-volume histogram parameters for planned target volume, whole body, heart, lung, great vessels, spleen, esophagus and thoracic vertebral bodies were evaluated. Results Multivariate analysis revealed that patients with delayed lymphopenia were associated with inferior overall survival (HR 2.53, P = 0.001) and progression-free survival (HR 1.98, P = 0.006). However, there was no significant survival difference between groups stratified by acute lymphopenia. On multivariable logistic regression models, lung V5, baseline ALC, during-CRT ALC, and albumin nadir were significant predictors for delayed lymphopenia. Furthermore, the nomogram for delayed lymphopenia based on these variables had good discrimination (area under the curve, 0.905). Conclusions In this study, we investigated the prognostic significance of delayed lymphopenia and identified clinico-dosimetric parameters to predict delayed lymphopenia.
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Affiliation(s)
- Byung-Hee Kang
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Xue Li
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Jaeman Son
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Changhoon Song
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Hyun-Cheol Kang
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Hak Jae Kim
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Hong-Gyun Wu
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Joo Ho Lee
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea
- *Correspondence: Joo Ho Lee,
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Kuncman Ł, Orzechowska M, Stawiski K, Masłowski M, Ciążyńska M, Gottwald L, Milecki T, Fijuth J. The Kinetics of FMS-Related Tyrosine Kinase 3 Ligand (Flt-3L) during Chemoradiotherapy Suggests a Potential Gain from the Earlier Initiation of Immunotherapy. Cancers (Basel) 2022; 14:cancers14163844. [PMID: 36010838 PMCID: PMC9405787 DOI: 10.3390/cancers14163844] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/07/2022] [Accepted: 08/08/2022] [Indexed: 01/01/2023] Open
Abstract
The optimal sequence of chemoradiotherapy with immunotherapy is still not established. The patient’s immune status may play a role in determining this order. We aim to determine the kinetics of a multi-potential haemopoietic factor FMS-related tyrosine kinase 3 ligand (Flt-3L) during chemoradiotherapy. Our pilot, a single arm prospective study, enrolled patients with rectal cancer who qualified for neoadjuvant chemoradiotherapy. Blood samples for Flt-3L were collected before and every second week of chemoradiotherapy for a complete blood count every week. The kinetics of Flt-3L were assessed using Friedman’s ANOVA. A multiple factor analysis (MFA) was performed to find relevant factors affecting levels of serum Flt-3L during chemoradiotherapy. FactoMineR and factoextra R packages were used for analysis. In the 33 patients enrolled, the level of Flt-3L increased from the second week and remained elevated until the end of treatment (p < 0.01). All patients experienced Grade ≥2 lymphopenia with a nadir detected mostly in the 5/6th week. MFA revealed the spatial partitioning of patients among the first and second dimensions (explained by 38.49% and 23.14% variance). The distribution along these dimensions represents the magnitude of early changes of Flt-3L. Patients with the lowest values of Flt-3L change showed the highest lymphocyte nadirs and lowest dose/volume parameters of active bone marrow. Our hypothesis-generating study supports the concept of early initiation of immuno-therapy when the concentration of Flt-3L is high and no lymphopenia has yet occurred.
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Affiliation(s)
- Łukasz Kuncman
- Department of Radiotherapy, Medical University of Lodz, 90-419 Lodz, Poland
- Correspondence: ; Tel.: +48-42-689-55-51
| | - Magdalena Orzechowska
- Department of Molecular Carcinogenesis, Medical University of Lodz, 90-419 Lodz, Poland
| | - Konrad Stawiski
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, 90-419 Lodz, Poland
| | - Michał Masłowski
- Department of External Beam Radiotherapy, Regional Cancer Center, Copernicus Memorial Hospital of Lodz, 93-513 Lodz, Poland
| | - Magdalena Ciążyńska
- Department of Dermatology, Paediatric Dermatology and Oncology Clinic, Medical University of Lodz, 90-419 Lodz, Poland
| | - Leszek Gottwald
- Department of Radiotherapy, Medical University of Lodz, 90-419 Lodz, Poland
| | - Tomasz Milecki
- Department of Urology, Poznan University of Medical Sciences, 61-701 Poznan, Poland
| | - Jacek Fijuth
- Department of Radiotherapy, Medical University of Lodz, 90-419 Lodz, Poland
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McCall NS, McGinnis HS, Janopaul-Naylor JR, Kesarwala AH, Tian S, Stokes WA, Shelton JW, Steuer CE, Carlisle JW, Leal T, Ramalingam SS, Bradley JD, Higgins KA. Impact of Radiation Dose to the Immune Cells in Unresectable or Stage III Non-Small Cell Lung Cancer in the Durvalumab Era. Radiother Oncol 2022; 174:133-140. [PMID: 35870727 DOI: 10.1016/j.radonc.2022.07.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 07/12/2022] [Accepted: 07/15/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND /PURPOSE Higher estimated radiation doses to immune cells (EDIC) have correlated with worse overall survival (OS) in patients with locally-advanced non-small cell lung cancer (NSCLC) prior to the PACIFIC trial, which established consolidative durvalumab as standard-of-care. Here, we examine the prognostic impact of EDIC in the durvalumab era. MATERIALS/METHODS This single-institution, multi-center study included patients with unresectable stage II/III NSCLC treated with chemoradiation followed by durvalumab. Associations between EDIC [analyzed continuously and categorically (≤6 Gy vs. >6 Gy)] and OS, progression-free survival (PFS), and locoregional control (LRC) were evaluated by Kaplan-Meier and Cox proportional methods. RESULTS 100 patients were included with median follow-up of 23.7 months. The EDIC >6 Gy group had a significantly greater percentage of stage IIIB/IIIC disease (76.0% vs. 32.6%; p<0.001) and larger tumor volumes (170cc vs. 42cc; p<0.001). There were no differences in early durvalumab discontinuation from toxicity (24.1% vs. 15.2%; p=0.27). Median OS was shorter among the EDIC >6 Gy group (29.6 months vs. not reached; p<0.001). On multivariate analysis, EDIC >6 Gy correlated with worse OS (HR: 4.15, 95%CI: 1.52-11.33; p=0.006), PFS (HR: 3.79; 95%CI: 1.80-8.0; p<0.001), and LRC (HR: 2.66, 95%CI: 1.15-6.18; p=0.023). Analyzed as a continuous variable, higher EDIC was associated with worse OS (HR: 1.34; 95%CI: 1.16-1.57; p<0.001), PFS (HR: 1.52; 95%CI: 1.29-1.79; p<0.001), and LRC (HR: 1.34, 95%CI: 1.13-1.60; p=0.007). CONCLUSIONS In the immunotherapy era, EDIC is an independent predictor of OS and disease control in locally advanced NSCLC, warranting investigation into techniques to reduce dose to the immune compartment.
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Affiliation(s)
- Neal S McCall
- Winship Cancer Institute of Emory University, Department of Radiation Oncology, United States.
| | - Hamilton S McGinnis
- Winship Cancer Institute of Emory University, Department of Radiation Oncology, United States
| | - James R Janopaul-Naylor
- Winship Cancer Institute of Emory University, Department of Radiation Oncology, United States
| | - Aparna H Kesarwala
- Winship Cancer Institute of Emory University, Department of Radiation Oncology, United States
| | - Sibo Tian
- Winship Cancer Institute of Emory University, Department of Radiation Oncology, United States
| | - William A Stokes
- Winship Cancer Institute of Emory University, Department of Radiation Oncology, United States
| | - Joseph W Shelton
- Winship Cancer Institute of Emory University, Department of Radiation Oncology, United States
| | - Conor E Steuer
- Winship Cancer Institute of Emory University, Department of Hematology & Medical Oncology, United States
| | - Jennifer W Carlisle
- Winship Cancer Institute of Emory University, Department of Hematology & Medical Oncology, United States
| | - Ticiana Leal
- Winship Cancer Institute of Emory University, Department of Hematology & Medical Oncology, United States
| | - Suresh S Ramalingam
- Winship Cancer Institute of Emory University, Department of Hematology & Medical Oncology, United States
| | - Jeffrey D Bradley
- Winship Cancer Institute of Emory University, Department of Radiation Oncology, United States
| | - Kristin A Higgins
- Winship Cancer Institute of Emory University, Department of Radiation Oncology, United States
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Radiation-Induced Esophagitis in Non-Small-Cell Lung Cancer Patients: Voxel-Based Analysis and NTCP Modeling. Cancers (Basel) 2022; 14:cancers14071833. [PMID: 35406605 PMCID: PMC8997452 DOI: 10.3390/cancers14071833] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 03/31/2022] [Accepted: 03/31/2022] [Indexed: 12/19/2022] Open
Abstract
Simple Summary Radiation-induced esophagitis (RE) is a common dose-limiting complication associated with concurrent chemoradiation therapy for Non-Small-Cell Lung Cancer (NSCLC), and a wide range of esophageal dosimetric parameters have been described as predictive of RE. In this study, we characterize the risk of RE for NSCLC patients enrolled in a prospective trial comparing intensity-modulated RT versus passive scattering proton therapy for locally advanced NSCLC. Dose patterns associated with RE were analyzed by applying voxel-based analysis approaches, and predictive models for RE were finally investigated. Two predictive models for acute RE with good cross-validated predictive performances and discrimination capability were developed (thoracic esophageal model: ROC-AUC = 0.73; whole esophagus model: ROC-AUC = 0.70). Abstract The aim of our study is to characterize the risk of radiation-induced esophagitis (RE) in a cohort of Non-Small-Cell Lung Cancer (NSCLC) patients treated with concurrent chemotherapy and photon/proton therapy. For each patient, the RE was graded according to the CTCAE v.3. The esophageal dose-volume histograms (DVHs) were extracted. Voxel-based analyses (VBAs) were performed to assess the spatial patterns of the dose differences between patients with and without RE of grade ≥ 2. Two hierarchical NTCP models were developed by multivariable stepwise logistic regression based on non-dosimetric factors and on the DVH metrics for the whole esophagus and its anatomical subsites identified by the VBA. In the 173 analyzed patients, 76 (44%) developed RE of grade ≥ 2 at a median follow-up time of 31 days. The VBA identified regions of significant association between dose and RE in a region encompassing the thoracic esophagus. We developed two NTCP models, including the RT modality and a dosimetric factor: V55Gy for the model related to the whole esophagus, and the mean dose for the model designed on the thoracic esophagus. The cross-validated performance showed good predictions for both models (ROC-AUC of 0.70 and 0.73, respectively). The only slight improvement provided by the analysis of the thoracic esophageal subsites might be due to the relevant sparing of cervical and lower thoracic esophagus in the analyzed cohort. Further studies on larger cohorts and a more heterogeneous set of dose distributions are needed to validate these preliminary findings and shed further light on the spatial patterns of RE development.
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