Weiwei Liu, Yusheng Guo, Peng Mo, Jie Lou, Bingxin Gong, Xiaona Fu, Yi Li, Kailu Zhang, Yi Ren, Shanshan Jiang, Peng Sun, Junping Li, Yong Wang, Lian Yang
{"title":"免疫检查点抑制剂治疗小细胞肺癌时骨密度变化作为预后指标:一项多中心回顾性研究","authors":"Weiwei Liu, Yusheng Guo, Peng Mo, Jie Lou, Bingxin Gong, Xiaona Fu, Yi Li, Kailu Zhang, Yi Ren, Shanshan Jiang, Peng Sun, Junping Li, Yong Wang, Lian Yang","doi":"10.21037/tlcr-2024-1125","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Changes in bone mineral density (BMD) are recognized as an independent predictor of survival in a variety of diseases. However, the prognostic value of BMD in small cell lung cancer (SCLC) patients treated with immune checkpoint inhibitors (ICIs) is not well understood. This study aimed to explore the prognostic ability of change in bone mineral density (ΔBMD) on the survival of SCLC patients receiving ICIs.</p><p><strong>Methods: </strong>A total of 300 SCLC patients receiving ICIs from three hospitals were enrolled and underwent non-enhanced thoracic computed tomography (CT) before and after treatment. Overall survival (OS) and progression-free survival (PFS) were analyzed using Cox regression models and Kaplan-Meier survival curves. A nomogram model based on independent prognostic factors was developed using multivariate Cox proportional hazards analysis. The predictive efficacy and clinical benefit of the nomogram were evaluated using the time-dependent area under the receiver operating characteristic (ROC) curve and calibration curves.</p><p><strong>Results: </strong>Lower ΔBMD was associated with shorter PFS and OS. ΔBMD was identified as an independent prognostic factor affecting OS (risk ratios =0.461; P<0.001). The established nomogram resulted in the area under the ROC curve for OS at 9, 12, and 18 months of 0.743, 0.782, and 0.781, respectively. The C-index was 0.701 [95% confidence interval (CI): 0.663-0.739], and the calibration curves confirmed that predictions aligned well with actual observations.</p><p><strong>Conclusions: </strong>Lower ΔBMD is correlated with poorer clinical outcomes in SCLC patients undergoing treatment with ICIs.</p>","PeriodicalId":23271,"journal":{"name":"Translational lung cancer research","volume":"14 5","pages":"1582-1595"},"PeriodicalIF":3.5000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170228/pdf/","citationCount":"0","resultStr":"{\"title\":\"Change of bone mineral density as a prognostic marker in small cell lung cancer treated with immune checkpoint inhibitors: a multicenter retrospective study.\",\"authors\":\"Weiwei Liu, Yusheng Guo, Peng Mo, Jie Lou, Bingxin Gong, Xiaona Fu, Yi Li, Kailu Zhang, Yi Ren, Shanshan Jiang, Peng Sun, Junping Li, Yong Wang, Lian Yang\",\"doi\":\"10.21037/tlcr-2024-1125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Changes in bone mineral density (BMD) are recognized as an independent predictor of survival in a variety of diseases. However, the prognostic value of BMD in small cell lung cancer (SCLC) patients treated with immune checkpoint inhibitors (ICIs) is not well understood. This study aimed to explore the prognostic ability of change in bone mineral density (ΔBMD) on the survival of SCLC patients receiving ICIs.</p><p><strong>Methods: </strong>A total of 300 SCLC patients receiving ICIs from three hospitals were enrolled and underwent non-enhanced thoracic computed tomography (CT) before and after treatment. Overall survival (OS) and progression-free survival (PFS) were analyzed using Cox regression models and Kaplan-Meier survival curves. A nomogram model based on independent prognostic factors was developed using multivariate Cox proportional hazards analysis. The predictive efficacy and clinical benefit of the nomogram were evaluated using the time-dependent area under the receiver operating characteristic (ROC) curve and calibration curves.</p><p><strong>Results: </strong>Lower ΔBMD was associated with shorter PFS and OS. ΔBMD was identified as an independent prognostic factor affecting OS (risk ratios =0.461; P<0.001). The established nomogram resulted in the area under the ROC curve for OS at 9, 12, and 18 months of 0.743, 0.782, and 0.781, respectively. The C-index was 0.701 [95% confidence interval (CI): 0.663-0.739], and the calibration curves confirmed that predictions aligned well with actual observations.</p><p><strong>Conclusions: </strong>Lower ΔBMD is correlated with poorer clinical outcomes in SCLC patients undergoing treatment with ICIs.</p>\",\"PeriodicalId\":23271,\"journal\":{\"name\":\"Translational lung cancer research\",\"volume\":\"14 5\",\"pages\":\"1582-1595\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170228/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational lung cancer research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.21037/tlcr-2024-1125\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/5/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational lung cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/tlcr-2024-1125","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/28 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Change of bone mineral density as a prognostic marker in small cell lung cancer treated with immune checkpoint inhibitors: a multicenter retrospective study.
Background: Changes in bone mineral density (BMD) are recognized as an independent predictor of survival in a variety of diseases. However, the prognostic value of BMD in small cell lung cancer (SCLC) patients treated with immune checkpoint inhibitors (ICIs) is not well understood. This study aimed to explore the prognostic ability of change in bone mineral density (ΔBMD) on the survival of SCLC patients receiving ICIs.
Methods: A total of 300 SCLC patients receiving ICIs from three hospitals were enrolled and underwent non-enhanced thoracic computed tomography (CT) before and after treatment. Overall survival (OS) and progression-free survival (PFS) were analyzed using Cox regression models and Kaplan-Meier survival curves. A nomogram model based on independent prognostic factors was developed using multivariate Cox proportional hazards analysis. The predictive efficacy and clinical benefit of the nomogram were evaluated using the time-dependent area under the receiver operating characteristic (ROC) curve and calibration curves.
Results: Lower ΔBMD was associated with shorter PFS and OS. ΔBMD was identified as an independent prognostic factor affecting OS (risk ratios =0.461; P<0.001). The established nomogram resulted in the area under the ROC curve for OS at 9, 12, and 18 months of 0.743, 0.782, and 0.781, respectively. The C-index was 0.701 [95% confidence interval (CI): 0.663-0.739], and the calibration curves confirmed that predictions aligned well with actual observations.
Conclusions: Lower ΔBMD is correlated with poorer clinical outcomes in SCLC patients undergoing treatment with ICIs.
期刊介绍:
Translational Lung Cancer Research(TLCR, Transl Lung Cancer Res, Print ISSN 2218-6751; Online ISSN 2226-4477) is an international, peer-reviewed, open-access journal, which was founded in March 2012. TLCR is indexed by PubMed/PubMed Central and the Chemical Abstracts Service (CAS) Databases. It is published quarterly the first year, and published bimonthly since February 2013. It provides practical up-to-date information on prevention, early detection, diagnosis, and treatment of lung cancer. Specific areas of its interest include, but not limited to, multimodality therapy, markers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to lung cancer.