PMID- 37773106 OWN - NLM STAT- MEDLINE DCOM- 20231002 LR - 20231123 IS - 1471-2407 (Electronic) IS - 1471-2407 (Linking) VI - 23 IP - 1 DP - 2023 Sep 29 TI - Online decision tools for personalized survival prediction and treatment optimization in elderly patients with lung squamous cell carcinoma: a retrospective cohort study. PG - 920 LID - 10.1186/s12885-023-11309-z [doi] LID - 920 AB - BACKGROUND: Despite major advances in cancer therapeutics, the therapeutic options of Lung Squamous Cell Carcinoma (LSCC)-specific remain limited. Furthermore, the current staging system is imperfect for defining a prognosis and guiding treatment due to its simplicity and heterogeneity. We sought to develop prognostic decision tools for individualized survival prediction and treatment optimization in elderly patients with LSCC. METHODS: Clinical data of 4564 patients (stageIB-IIIB) diagnosed from 2010 to 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database for prognostic nomograms development. The proposed models were externally validated using a separate group consisting of 1299 patients (stage IB-IIIB) diagnosed from 2012-2015 in China. The prognostic performance was measured using the concordance index (C-index), calibration curves, the average time-dependent area under the receiver operator characteristic curves (AUC), and decision curve analysis. RESULTS: Eleven candidate prognostic variables were identified by the univariable and multivariable Cox regression analysis. The calibration curves showed satisfactory agreement between the actual and nomogram-estimated Lung Cancer-Specific Survival (LCSS) rates. By calculating the c-indices and average AUC, our nomograms presented a higher prognostic accuracy than the current staging system. Clinical usefulness was revealed by the decision curve analysis. User-friendly online decision tools integrating proposed nomograms were created to estimate survival for patients with different treatment regimens. CONCLUSIONS: The decision tools for individualized survival prediction and treatment optimization might facilitate clinicians with decision-making, medical teaching, and experimental design. Online tools are expected to be integrated into clinical practice by using the freely available website ( https://loyal-brand-611803.framer.app/ ). CI - (c) 2023. BioMed Central Ltd., part of Springer Nature. FAU - Shao, Chen-Ye AU - Shao CY AD - Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. FAU - Luo, Jing AU - Luo J AD - Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. AD - Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. FAU - Ju, Sheng AU - Ju S AD - Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. AD - Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. FAU - Li, Chu-Ling AU - Li CL AD - Department of Respiratory Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China. AD - Department of Respiratory Medicine, Jinling Hospital Medical School of Nanjing University, Nanjing, China. FAU - Ding, Cheng AU - Ding C AD - Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. AD - Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. FAU - Chen, Jun AU - Chen J AD - Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. AD - Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. FAU - Liu, Xiao-Long AU - Liu XL AD - Department of Cardiothoracic Surgery, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China. lxl087501@126.com. FAU - Zhao, Jun AU - Zhao J AD - Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. Zhaojia0327@126.com. AD - Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. Zhaojia0327@126.com. FAU - Yang, Li-Qin AU - Yang LQ AD - Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. yangliqin9990@163.com. AD - Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China. yangliqin9990@163.com. LA - eng GR - This study was supported by the National Natural Science Foundation of China (No. K112224316)./Jun Zhao/ PT - Journal Article DEP - 20230929 PL - England TA - BMC Cancer JT - BMC cancer JID - 100967800 SB - IM MH - Humans MH - Aged MH - Neoplasm Staging MH - Retrospective Studies MH - Prognosis MH - *Carcinoma, Squamous Cell/pathology MH - Nomograms MH - *Carcinoma, Non-Small-Cell Lung/pathology MH - *Lung Neoplasms/diagnosis/therapy MH - Lung/pathology MH - SEER Program PMC - PMC10542697 OTO - NOTNLM OT - Adjuvant therapy OT - Lung Squamous Cell Carcinoma OT - Nomogram COIS- The authors declare no competing interests. EDAT- 2023/09/29 12:43 MHDA- 2023/10/02 06:42 PMCR- 2023/09/29 CRDT- 2023/09/29 11:38 PHST- 2023/04/13 00:00 [received] PHST- 2023/08/17 00:00 [accepted] PHST- 2023/10/02 06:42 [medline] PHST- 2023/09/29 12:43 [pubmed] PHST- 2023/09/29 11:38 [entrez] PHST- 2023/09/29 00:00 [pmc-release] AID - 10.1186/s12885-023-11309-z [pii] AID - 11309 [pii] AID - 10.1186/s12885-023-11309-z [doi] PST - epublish SO - BMC Cancer. 2023 Sep 29;23(1):920. doi: 10.1186/s12885-023-11309-z.