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Zhang L, Zhang Q, Wu Q, Zhao L, Gao Y, Li X, Guan S, Yan M. Establishment of a prognostic nomogram for elderly patients with limited-stage small cell lung cancer receiving radiotherapy. Sci Rep 2024; 14:11990. [PMID: 38796503 PMCID: PMC11127957 DOI: 10.1038/s41598-024-62533-x] [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: 07/30/2023] [Accepted: 05/17/2024] [Indexed: 05/28/2024] Open
Abstract
The present study explored the risk factors associated with radiotherapy in seniors diagnosed with limited-stage small cell lung cancer (LS-SCLC) to construct and validate a prognostic nomogram. The study retrospectively included 137 elderly patients with LS-SCLC who previously received radiotherapy. Univariate and multivariate COX analyses were conducted to identify independent risk factors and determine optimal cut-off values. Kaplan-Meier survival curves and nomograms were constructed to predict survival. Calibration and receiver operating characteristic (ROC) curves were used to evaluate the accuracy and consistency of the nomogram. Illness rating scale-geriatric (CIRS-G) score, treatment strategy, lymphocyte-to-monocyte ratio (LMR), white blood cell-to-monocyte ratio (WMR), and prognostic nutritional index (PNI) were discovered to be independent prognostic factors. Based on the findings of our multivariate analysis, a risk nomogram was developed to assess patient prognosis. Internal bootstrap resampling was utilized to validate the model, and while the accuracy of the AUC curve at 1 year was modest at 0.657 (95% CI 0.458-0.856), good results were achieved in predicting 3- and 5 year survival with AUCs of 0.757 (95% CI 0.670-0.843) and 0.768 (95% CI 0.643-0.893), respectively. Calibration curves for 1-, 3-, and 5 year overall survival probabilities demonstrated good cocsistency between expected and actual outcomes. Patients with concurrent chemoradiotherapy, CIRS-G score > 5 points and low PNI, WMR and LMR correlated with poor prognosis. The nomogram model developed based on these factors demonstrated good predictive performance and provides a simple, accessible, and practical tool for clinicians to guide clinical decision-making and study design.
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Affiliation(s)
- Lixia Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
| | - Qingfen Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
| | - Qian Wu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
| | - Lujun Zhao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China.
| | - Yunbin Gao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
| | - Xue Li
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
| | - Song Guan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
| | - Meng Yan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital,National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China
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Remon J, Levy A, Singh P, Hendriks LEL, Aldea M, Arrieta O. Current challenges of unresectable stage III NSCLC: are we ready to break the glass ceiling of the PACIFIC trial? Ther Adv Med Oncol 2022; 14:17588359221113268. [PMID: 35923929 PMCID: PMC9340398 DOI: 10.1177/17588359221113268] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 06/27/2022] [Indexed: 01/09/2023] Open
Abstract
Consolidation anti-programmed death-ligand 1 has become a new standard of care in unresectable stage III non-small cell lung cancer (NSCLC) following chemo-radiotherapy (CTRT), based on the results of two phase III trials. Advances remain however needed, in particular to reduce the risk of distant relapse and for treatment personalization. Newer strategies are currently being tested, including consolidation with dual immune checkpoint inhibitors (ICIs), concurrent chemo-radioimmunotherapy and (chemo)-immunotherapy induction before CTRT. One randomized phase II reported better outcomes with a double ICI consolidation as compared with durvalumab alone. Three nonrandomized phase II trials also suggested that concurrent ICI-CTRT was feasible. Within this review, we summarize the current evidence, highlight ongoing trials and discuss challenges that will ideally lead to a cure for more patients with unresectable stage III NSCLC.
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Affiliation(s)
- Jordi Remon
- Department of Medical Oncology, Centro Integral
Oncológico Clara Campal (HM-CIOCC), Hospital HM Nou Delfos, HM Hospitales,
Avinguda de Vallcarca, 151, Barcelona 08023, Spain
| | - Antonin Levy
- Department of Radiation Oncology, International
Center for Thoracic Cancers (CICT), Université Paris-Saclay, Gustave Roussy,
Gustave Roussy, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine,
Le Kremlin-Bicêtre, France
| | - Pawan Singh
- Department of Pulmonary and Critical Care
Medicine, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical
Sciences, Rohtak, Haryana, India
| | - Lizza E. L. Hendriks
- Department of Pulmonary Diseases, GROW–School
for Oncology and Reproduction, Maastricht University Medical Center,
Maastricht, The Netherlands
| | - Mihaela Aldea
- Department of Medical Oncology, International
Center for Thoracic Cancers (CICT), Université Paris-Saclay, Gustave Roussy,
Gustave Roussy, Villejuif, France
| | - Oscar Arrieta
- Thoracic Oncology Unit and Laboratory of
Personalized Medicine, Instituto Nacional de Cancerología, Mexico City,
Mexico
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