Skip to main content
Log in

External Validation of a Survival Nomogram for Non-Small Cell Lung Cancer Using the National Cancer Database

  • Health Services Research and Global Oncology
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

ABSTRACT

Purpose

Survival nomograms offer individualized predictions using a more diverse set of factors than traditional staging measures, including the American Joint Committee on Cancer Tumor Node Metastasis (AJCC TNM) Staging System. A nomogram predicting overall survival (OS) for resected, non-metastatic non-small cell lung cancer (NSCLC) has been previously derived from Asian patients. The present study aims to determine the nomogram’s predictive capability in the US using the National Cancer Database (NCDB).

Methods

This was a retrospective review of adults with resected, non-metastatic NSCLC entered into the NCDB between 2004 and 2012. Concordance indices and calibration plots analyzed discrimination and calibration, respectively. Multivariate analysis was also used.

Results

A total of 57,313 patients were included in this study. The predominant histologies were adenocarcinoma (48.2%) and squamous cell carcinoma (31.3%), and patients were diagnosed with stage I-A (38.3%), stage I-B (22.7%), stage II-A (14.2%), stage II-B (11.5%), and stage III-A (13.3%). Median OS was 74 months. 1-, 3- and 5-year OS rates were 89.8% [95% confidence interval (CI) 89.5–90.0%], 71.1% (95% CI 70.7–71.6%), and 55.7% (95% CI 54.7–56.6%), respectively. The nomogram’s concordance index (C-index) was 0.804 (95% CI 0.792–0.817). AJCC TNM staging demonstrated higher discrimination (C-index 0.833, 95% CI 0.821–0.840).

Conclusions

The nomogram’s individualized estimates accurately predicted survival in this patient collective, demonstrating higher discrimination in this population than in the developer’s cohorts. However, the generalized survival estimates provided by traditional staging demonstrated superior predictive capability; therefore, AJCC TNM staging should remain the gold standard for the prognostication of resected NSCLC in the US.

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

Similar content being viewed by others

References

  1. Howlader N, Noone AM, Krapcho M, et al. (eds). Cancer Statistics Review: 1975–2013. Bethesda, MD: National Cancer Institute; 2016.

    Google Scholar 

  2. National Comprehensive Cancer Network. NCCN clinical practice guidelines in oncology: non-small cell lung cancer. Version 4.2016. Available at: www.nccn.org/professionals/physician_gls/pdf/nscl.pdf. Accessed 28 Jan 2016.

  3. Edge SB, Byrd DR, Compton CC, et al. AJCC cancer staging manual, 7th ed. New York: Springer; 2010.

    Google Scholar 

  4. Martini N, Burt ME, Bains MS, et al. Survival after resection of stage II non-small cell lung cancer. Ann Thorac Surg. 1992;54:460–465.

    Article  CAS  PubMed  Google Scholar 

  5. Bulzebruck H, Bopp R, Drings P, et al. New aspects in the staging of lung cancer. Prospective validation of the International Union Against Cancer TNM classification. Cancer. 1992;70:1102–110.

    Article  CAS  PubMed  Google Scholar 

  6. Williams DE, Pairolero PC, Danis CS, et al. Survival of patients surgically treated for stage I lung cancer. J Thorac Cardiovasc Surg. 1981;82:70–76.

    CAS  PubMed  Google Scholar 

  7. Kawaguchi T, Takada M, Kubo A, et al. Performance status and smoking status are independent favorable prognostic factors for survival in non-small cell lung cancer: a comprehensive analysis of 26,957 patients with NSCLC. J Thorac Oncol. 2015;5:620–630.

    Article  Google Scholar 

  8. Birim O, Kappetein AP, Waleboer M, et al. Long-term survival after non-small cell lung cancer surgery: development and validation of a prognostic model with a preoperative and postoperative mode. J Thorac Cardiovasc Surg. 2006;132:491–498.

    Article  PubMed  Google Scholar 

  9. Agarwal M, Brahmanday G, Chmielewski GW, et al. Age, tumor size, type of surgery, and gender predict survival in early stage (stage I and II) non-small cell lung cancer after surgical resection. Lung Cancer. 2010;68:398–402.

    Article  PubMed  Google Scholar 

  10. Chansky K, Sculier JP, Crowley JJ, et al. The International Association for the Study of Lung Cancer Staging Project: prognostic factors and pathologic TNM stage in surgically managed non-small cell lung cancer. J Thorac Oncol. 2009;4:792–801.

    Article  PubMed  Google Scholar 

  11. Liang W, Zhang L, Jiang G, et al. Development and validation of a nomogram for predicting survival in patients with resected non-small-cell lung cancer. J Clin Oncol. 2015;33:861-869.

    Article  PubMed  Google Scholar 

  12. Liu L, Forman S, Barton B. Fitting the Cox model using PROC PHREG and Beyond in SAS. Presented at the SAS Global Forum, Washington, DC, 22-25 March 2009.

  13. Klar M, Jochmann A, Foeldi M, et al. The MSKCC nomogram for prediction the likelihood of non-sentinel node involvement in a German breast cancer population. Breast Cancer Res Treat. 2008;112:523-531.

    Article  CAS  PubMed  Google Scholar 

  14. Smaletz O, Scher HI, Small EJ, et al. Nomogram for overall survival of patients with progressive metastatic prostate cancer after castration. J Clin Oncol. 2002;20:3972-3982.

    Article  PubMed  Google Scholar 

  15. Dransfield MT, Lock BJ, Garver RI Jr. Improving the lung cancer resection rate in the US Department of Veterans Affairs Health System. Clin Lung Cancer. 2006;7:268-272.

    Article  PubMed  Google Scholar 

  16. Gould MK, Ghaus SJ, Olsson JK, et al. Timeliness of care in veterans with non-small cell lung cancer. Chest. 2008;133:1167-1173.

    Article  PubMed  Google Scholar 

  17. Schultz EM, Powell AA, McMillan A, et al. Hospital characteristics associated with timeliness of care in veterans with lung cancer. Am J Respir Crit Care Med. 2009;179:595-600.

    Article  PubMed  Google Scholar 

  18. Yorio JT, Xie Y, Yan J, et al. Lung cancer diagnostic and treatment intervals in the United States: a health care disparity? J Thorac Oncol. 2009;4:1322-1330.

    Article  PubMed  Google Scholar 

  19. Quarterman RL, McMillan A, Ratcliffe MB, et al. Effect of preoperative delay on prognosis for patients with early stage non-small cell lung cancer. J Thorac Cardiovasc Surg. 2003;125:108-113.

    Article  PubMed  Google Scholar 

Download references

Disclosures

None.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joseph A. Blansfield MD, FACS.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Young, K.A., Efiong, E., Dove, J.T. et al. External Validation of a Survival Nomogram for Non-Small Cell Lung Cancer Using the National Cancer Database. Ann Surg Oncol 24, 1459–1464 (2017). https://doi.org/10.1245/s10434-017-5795-5

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1245/s10434-017-5795-5

Keywords

Navigation