Skip to main content
Log in

Prognostic Nomogram for Overall Survival in Small Cell Lung Cancer Patients Treated with Chemotherapy: A SEER-Based Retrospective Cohort Study

  • Original Research
  • Published:
Advances in Therapy Aims and scope Submit manuscript

Abstract

Introduction

Small cell lung cancer (SCLC) is known for its rapid clinical progression and poor prognosis. In this study, we sought to establish a prognostic nomogram among SCLC patients who received chemotherapy.

Methods

We obtained 4971 SCLC patients’ clinical information from the Surveillance, Epidemiology, and End Results (SEER) database for the period between 2004 and 2015. Patients were divided into training and validation sets. Two nomograms were established based on limited stage (LS) and extensive stage (ES) SCLC patients to predict 1-, 2-, and 3-year overall survival (OS) incorporating superior parameters from multivariate Cox regression. Receiver-operating characteristic curves (ROCs) were applied to assess the discrimination ability of the nomogram while the calibration plots were applied to verify the model. Kaplan-Meier method was applied to find survival curves. Decision curve analysis (DCA) was applied to compare OS between the nomograms and 7th American Joint Committee on Cancer (AJCC) tumor node metastasis (TNM) staging system.

Results

Four and six clinical parameters were identified as significant prognostic factors for LS-SCLC and ES-SCLC patient’s OS, respectively. The ROC curves indicated satisfactory discrimination capacity of the nomogram, with 1-, 2-, and 3-year area under curve (AUC) values of 0.89, 0.81, and 0.79 in LS-SCLC patients and 0.71, 0.66, and 0.66 in ES-SCLC patients, respectively. Calibration curves indicated that the nomogram showed good agreement with actual observations in survival rate probability. The survival curves among the LS-SCLC and ES-SCLC cohorts were consistent with the high-risk group having a worse prognosis than the low-risk group. Moreover, ROC and DCA curves showed our nomograms had more benefits than the 7th AJCC-TNM staging system.

Conclusions

We established two nomograms that can present individual predictions of OS among LS-SCLC and ES-SCLC patients who received chemotherapy. These proposed nomograms may aid clinicians in treatment strategy and design of clinical trials.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61(2):69–90. https://doi.org/10.3322/caac.20107 (Epub 2011/02/08; PubMed PMID: 21296855).

    Article  Google Scholar 

  2. Gazdar AF, Bunn PA, Minna JD. Small-cell lung cancer: what we know, what we need to know and the path forward. Nat Rev Cancer. 2017;17(12):725–37. https://doi.org/10.1038/nrc.2017.87 (Epub 2017/10/28; PubMed PMID: 29077690).

    Article  CAS  PubMed  Google Scholar 

  3. Horn L, Mansfield AS, Szczęsna A, Havel L, Krzakowski M, Hochmair MJ, et al. First-line atezolizumab plus chemotherapy in extensive-stage small-cell lung cancer. N Engl J Med. 2018;379(23):2220–9. https://doi.org/10.1056/NEJMoa1809064 (Epub 2018/10/04; PubMed PMID: 30280641).

    Article  CAS  PubMed  Google Scholar 

  4. National Comprehensive Cancer Network website. National Comprehensive Cancer Network Guidelines for small cell lung cancer. https://www.nccn.org/professionals/physician_gls/pdf/sclc.pdf. Accessed 17 Jan 2021.

  5. Patel S, Petty WJ, Sands JM. An overview of lurbinectedin as a new second-line treatment option for small cell lung cancer. Ther Adv Med Oncol. 2021;13:17588359211020528. https://doi.org/10.1177/17588359211020529 (Epub 2021/06/10; PubMed PMID: 34104228; PubMed Central PMCID: PMCPMC8165873).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Grigorescu AC. Chemotherapy for elderly patients with advanced cancer: A pilot study in Institute of Oncology Bucharest. J Transl Int Med. 2015;3(1):24–8. https://doi.org/10.4103/2224-4018.154291 (Epub 2015/01/01; PubMed PMID: 27847881; PubMed Central PMCID: PMCPMC4936471).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Gaspar LE, McNamara EJ, Gay EG, Putnam JB, Crawford J, Herbst RS, et al. Small-cell lung cancer: prognostic factors and changing treatment over 15 years. Clin Lung Cancer. 2012;13(2):115–22. https://doi.org/10.1016/j.cllc.2011.05.008 (Epub 2011/10/18;. PubMed PMID: 22000695).

    Article  PubMed  Google Scholar 

  8. Paz-Ares L, Dvorkin M, Chen Y, Reinmuth N, Hotta K, Trukhin D, et al. Durvalumab plus platinum-etoposide versus platinum-etoposide in first-line treatment of extensive-stage small-cell lung cancer (CASPIAN): a randomised, controlled, open-label, phase 3 trial. Lancet. 2019;394(10212):1929–39. https://doi.org/10.1016/s0140-6736(19)32222-6 (Epub 2019/10/09; PubMed PMID: 31590988).

    Article  CAS  PubMed  Google Scholar 

  9. Govindan R, Page N, Morgensztern D, Read W, Tierney R, Vlahiotis A, et al. Changing epidemiology of small-cell lung cancer in the United States over the last 30 years: analysis of the surveillance, epidemiologic, and end results database. J Clin Oncol. 2006;24(28):4539–44. https://doi.org/10.1200/jco.2005.04.4859 (Epub 2006/09/30; PubMed PMID: 17008692).

    Article  PubMed  Google Scholar 

  10. Kang MH, Go SI, Song HN, Lee A, Kim SH, Kang JH, et al. The prognostic impact of the neutrophil-to-lymphocyte ratio in patients with small-cell lung cancer. Br J Cancer. 2014;111(3):452–60. https://doi.org/10.1038/bjc.2014.317 (Epub 2014/06/13; PubMed PMID: 24921916; PubMed Central PMCID: PMCPMC4119986).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Zhou T, He X, Fang W, Zhan J, Hong S, Qin T, et al. Pretreatment albumin/globulin ratio predicts the prognosis for small-cell lung cancer. Medicine (Baltimore). 2016;95(12):e3097. https://doi.org/10.1097/md.0000000000003097 (Epub 2016/03/26; PubMed PMID: 27015181; PubMed Central PMCID: PMCPMC4998376).

    Article  CAS  Google Scholar 

  12. Pan H, Shi X, Xiao D, He J, Zhang Y, Liang W, et al. Nomogram prediction for the survival of the patients with small cell lung cancer. J Thorac Dis. 2017;9(3):507–18. https://doi.org/10.21037/jtd.2017.03.121 (Epub 2017/04/30; PubMed PMID: 28449457; PubMed Central PMCID: PMCPMC5394048).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Iasonos A, Schrag D, Raj GV, Panageas KS. How to build and interpret a nomogram for cancer prognosis. J Clin Oncol. 2008;26(8):1364–70. https://doi.org/10.1200/jco.2007.12.9791 (Epub 2008/03/08; PubMed PMID: 18323559).

    Article  PubMed  Google Scholar 

  14. Kalemkerian GP, Akerley W, Bogner P, Borghaei H, Chow LQ, Downey RJ, et al. Small cell lung cancer. J Natl Compr Canc Netw. 2013;11(1):78–98. https://doi.org/10.6004/jnccn.2013.0011 (Epub 2013/01/12; PubMed PMID: 23307984; PubMed Central PMCID: PMCPMC3715060).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Xie D, Marks R, Zhang M, Jiang G, Jatoi A, Garces YI, et al. Nomograms predict overall survival for patients with small-cell lung cancer incorporating pretreatment peripheral blood markers. J Thorac Oncol. 2015;10(8):1213–20. https://doi.org/10.1097/jto.0000000000000585 (Epub 2015/07/23; PubMed PMID: 26200277).

    Article  PubMed  Google Scholar 

  16. Xiao HF, Zhang BH, Liao XZ, Yan SP, Zhu SL, Zhou F, et al. Development and validation of two prognostic nomograms for predicting survival in patients with non-small cell and small cell lung cancer. Oncotarget. 2017;8(38):64303–16. https://doi.org/10.18632/oncotarget.19791 (Epub 2017/10/04; PubMed PMID: 28969072; PubMed Central PMCID: PMCPMC5610004).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wang T, Lu R, Lai S, Schiller JH, Zhou FL, Ci B, et al. Development and validation of a nomogram prognostic model for patients with advanced non-small-cell lung cancer. Cancer Inform. 2019;18:1176935119837547. https://doi.org/10.1177/1176935119837547 (Epub 2019/05/07; PubMed PMID: 31057324; PubMed Central PMCID: PMCPMC6452590).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Zeng Q, Li J, Tan F, Sun N, Mao Y, Gao Y, et al. Development and validation of a nomogram prognostic model for resected limited-stage small cell lung cancer patients. Ann Surg Oncol. 2021. https://doi.org/10.1245/s10434-020-09552-w (Epub 2021/03/04; PubMed PMID: 33655361).

    Article  PubMed  PubMed Central  Google Scholar 

  19. Casiraghi M, Sedda G, Del Signore E, Piperno G, Maisonneuve P, Petrella F, et al. Surgery for small cell lung cancer: when and how. Lung Cancer. 2021;152:71–7. https://doi.org/10.1016/j.lungcan.2020.12.006 (Epub 2020/12/29; PubMed PMID: 33360438).

    Article  PubMed  Google Scholar 

  20. Wakeam E, Acuna SA, Leighl NB, Giuliani ME, Finlayson SRG, Varghese TK, et al. Surgery versus chemotherapy and radiotherapy for early and locally advanced small cell lung cancer: a propensity-matched analysis of survival. Lung Cancer. 2017;109:78–88. https://doi.org/10.1016/j.lungcan.2017.04.021 (Epub 2017/06/05; PubMed PMID: 28577955).

    Article  CAS  PubMed  Google Scholar 

  21. Postmus PE, Kerr KM, Oudkerk M, Senan S, Waller DA, Vansteenkiste J, et al. Early and locally advanced non-small-cell lung cancer (NSCLC): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2017;28(suppl 4):iv1–21. https://doi.org/10.1093/annonc/mdx222 (Epub 2017/09/09; PubMed PMID: 28881918).

    Article  CAS  PubMed  Google Scholar 

  22. Yuan X, Zheng Z, Liu F, Gao Y, Zhang W, Berardi R, et al. A nomogram to predict the overall survival of patients with symptomatic extensive-stage small cell lung cancer treated with thoracic radiotherapy. Transl Lung Cancer Res. 2021;10(5):2163–71. https://doi.org/10.21037/tlcr-21-211 (Epub 2021/06/25; PubMed PMID: 34164267; PubMed Central PMCID: PMCPMC8182711).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Shan Q, Shi J, Wang X, Guo J, Han X, Wang Z, et al. A new nomogram and risk classification system for predicting survival in small cell lung cancer patients diagnosed with brain metastasis: a large population-based study. BMC Cancer. 2021;21(1):640. https://doi.org/10.1186/s12885-021-08384-5 (Epub 2021/05/31; PubMed PMID: 34051733; PubMed Central PMCID: PMCPMC8164795).

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors thank Mrs. Yunru Fan and Dr. Alexandra Lam for coordinating and supporting the development and preparation of the manuscript.

Funding

The funding for this study was provided by the High-level Hospital Construction Project of Maoming People’s Hospital, the Research Project of Maoming Science and Technology Bureau (grant no. 2021121), and the Outstanding Young Talents Program of Maoming People’s Hospital. The Journal’s Rapid Service Fee was funded by the High-level Hospital Construction Project of Maoming People’s Hospital.

Authorship

All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.

Author Contributions

Study concepts: M.L, Study design: M.L and MF.C, Data acquisition: S.S and S.S, Data analysis and interpretation: M.L, Statistical analysis: S.S and S.S, Manuscript preparation: M.L and MF.C, Manuscript editing: Shivank Singh, Manuscript review: Shantanu Singh.

Disclosures

Min Liang, Mafeng Chen, Shantanu Singh, and Shivank Singh all have nothing to disclose.

Compliance with Ethics Guidelines

This article was built on open access databases and does not contain any new researches involving human participants or animals. The protocol for this study was approved by the ethics committee of Maoming People's Hospital. All authors have signed the SEER Research Data Agreement to protect the privacy of patients, which is consistent with ethical principles.

Data Availability Statement

The datasets generated during and/or analyzed during the current study are available in the Surveillance, Epidemiology, and End Results (SEER) repository, [https://seer.cancer.gov/data/].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Min Liang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liang, M., Chen, M., Singh, S. et al. Prognostic Nomogram for Overall Survival in Small Cell Lung Cancer Patients Treated with Chemotherapy: A SEER-Based Retrospective Cohort Study. Adv Ther 39, 346–359 (2022). https://doi.org/10.1007/s12325-021-01974-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12325-021-01974-6

Keywords

Navigation