Skip to main content

Advertisement

Log in

Negative Lymph Node Count Predicts Survival of Resected Non-small Cell Lung Cancer

  • LUNG CANCER
  • Published:
Lung Aims and scope Submit manuscript

Abstract

Purpose

The purpose of this study was to explore the association between the negative lymph node (NLN) count and survival, as well as compare the prognostic value of the positive lymph node (PLN) count, lymph node ratio (the PLN count/total lymph nodes examined, LNR), and NLN count in patients with non-small cell lung cancer (NSCLC).

Methods

We identified patients diagnosed with NSCLC between 2005 and 2011 from the Surveillance, Epidemiology, and End Results database. Outcomes of interest were lung cancer-specific survival (LCSS) and overall survival (OS). Cases were divided into several groups based on the PLN count, NLN count, and LNR. The prognostic significance of the PLN count, NLN count, and LNR models was analyzed with the Kaplan–Meier method and the Cox regression model.

Results

39,959 patients with surgical resection for NSCLC were identified. Univariate analysis demonstrated that a greater count of NLNs was associated with better LCSS (P < 0.001) and OS (P < 0.001). Subgroup analysis showed that the NLN count could predict survival in both node-negative and node-positive patients. Multivariable analysis revealed that the NLN count was an independent prognostic factor for LCSS and OS.

Conclusion

The NLN count is an independent prognostic factor of OS and LCSS in patients with NSCLC, as well as the PLN count and LNR. The prognostic value of the PLN count, NLN count, and LNR shows no difference.

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

Similar content being viewed by others

References

  1. Siegel RL, Miller KD (2019) Jemal A (2019) Cancer statistics. CA-Cancer J Clin 69(1):7–34. https://doi.org/10.3322/caac.21551

    Article  PubMed  Google Scholar 

  2. Goldstraw P, Chansky K, Crowley J, Rami-Porta R, Asamura H, Eberhardt WEE, Nicholson AG, Groome P, Mitchell A, Bolejack V, Int Assoc Study Lung Canc S (2016) The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer. Journal of Thoracic Oncology 11(1):39–51. https://doi.org/10.1016/j.jtho.2015.09.009

    Article  PubMed  Google Scholar 

  3. Yoo C, Yoon S, Lee DH, Park S-I, Kim DK, Kim Y-H, Kim HR, Choi SH, Kim WS, Choi C-M, Jang SJ, Song SY, Kim SS, Choi EK, Lee JC, Suh C, Lee J-S, Kim S-W (2015) Prognostic Significance of the Number of Metastatic pN2 Lymph Nodes in Stage IIIA-N2 Non-Small-Cell Lung Cancer After Curative Resection. Clinical Lung Cancer 16(6):E203–E212. https://doi.org/10.1016/j.cllc.2015.04.004

    Article  PubMed  Google Scholar 

  4. Takanen S, Bangrazi C, Graziano V, Parisi A, Resuli B, Simione L, Caiazzo R, Raffetto N, Tombolini V (2014) Number of Mediastinal Lymph Nodes as a Prognostic Factor in PN2 Non Small Cell Lung Cancer: A Single Centre Experience and Review of the Literature. Asian Pac J Cancer Prev 15(18):7559–7562. https://doi.org/10.7314/apjcp.2014.15.18.7559

    Article  PubMed  Google Scholar 

  5. Nwogu CE, Groman A, Fahey D, Yendamuri S, Dexter E, Demmy TL, Miller A, Reid M (2012) Number of Lymph Nodes and Metastatic Lymph Node Ratio Are Associated With Survival in Lung Cancer. Ann Thorac Surg 93(5):1614–1620. https://doi.org/10.1016/j.athoracsur.2012.01.065

    Article  PubMed  PubMed Central  Google Scholar 

  6. Jonnalagadda S, Smith C, Mhango G, Wisnivesky JP (2011) The Number of Lymph Node Metastases as a Prognostic Factor in Patients With N1 Non-small Cell Lung Cancer. Chest 140(2):433–440. https://doi.org/10.1378/chest.10-2885

    Article  PubMed  PubMed Central  Google Scholar 

  7. Wisnivesky JP, Arciniega J, Mhango G, Mandeli J, Halm EA (2011) Lymph node ratio as a prognostic factor in elderly patients with pathological N1 non-small cell lung cancer. Thorax 66(4):287–293. https://doi.org/10.1136/thx.2010.148601

    Article  PubMed  Google Scholar 

  8. Wang C-L, Li Y, Yue D-S, Zhang L-M, Zhang Z-F, Sun B-S (2012) Value of the Metastatic Lymph Node Ratio for Predicting the Prognosis of Non-Small-Cell Lung Cancer Patients. World J Surg 36(2):455–462. https://doi.org/10.1007/s00268-011-1360-8

    Article  CAS  PubMed  Google Scholar 

  9. Taylor MD, LaPar DJ, Thomas CJ, Persinger M, Stelow EB, Kozower BD, Lau CL, Jones DR (2013) Lymph Node Ratio Predicts Recurrence and Survival After R0 Resection for Non-Small Cell Lung Cancer. Ann Thorac Surg 96(4):1163–1170. https://doi.org/10.1016/j.athoracsur.2013.04.031

    Article  PubMed  Google Scholar 

  10. Tamura M, Matsumoto I, Saito D, Yoshida S, Takata M, Takemura H (2016) Lymph node ratio as a prognostic factor in patients with pathological N2 non-small cell lung cancer. World Journal of Surgical Oncology. https://doi.org/10.1186/s12957-016-1048-5

    Article  PubMed  PubMed Central  Google Scholar 

  11. Sun G, Xue L, Wang M, Zhao X (2015) Lymph node ratio is a prognostic factor for non-small cell lung cancer. Oncotarget 6(32):33912–33918. https://doi.org/10.18632/oncotarget.5669

    Article  PubMed  PubMed Central  Google Scholar 

  12. Jonnalagadda S, Arcinega J, Smith C, Wisnivesky JP (2011) Validation of the Lymph Node Ratio as a Prognostic Factor in Patients With N1 Nonsmall Cell Lung Cancer. Cancer 117(20):4724–4731. https://doi.org/10.1002/cncr.26093

    Article  PubMed  PubMed Central  Google Scholar 

  13. Wu SG, Sun JY, Zhou J, Li FY, Lin Q, Lin HX, Guan XX, He ZY (2015) Number of negative lymph nodes is associated with disease-free survival in patients with breast cancer. BMC Cancer 15:7. https://doi.org/10.1186/s12885-015-1061-z

    Article  Google Scholar 

  14. Zhu ZF, Chen HQ, Yu WW, Fu XL, Xiang JQ, Li HC, Zhang YW, Sun MH, Wei Q, Zhao WX, Zhao KL (2014) Number of Negative Lymph Nodes is Associated with Survival in Thoracic Esophageal Squamous Cell Carcinoma Patients Undergoing Three-Field Lymphadenectomy. Ann Surg Oncol 21(9):2857–2863. https://doi.org/10.1245/s10434-014-3665-y

    Article  PubMed  Google Scholar 

  15. Wu SG, Wang Y, Zhou J, Sun JY, Li FY, Lin HX, He ZY (2015) Number of negative lymph nodes should be considered for incorporation into staging for breast cancer. Am J Cancer Res 5(2):844–853

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Wu SG, Peng F, Zhou J, Sun JY, Li FY, Lin Q, Lin HX, Bao Y, He ZY (2015) Number of Negative Lymph Nodes Can Predict Survival after Postmastectomy Radiotherapy According to Different Breast Cancer Subtypes. J Cancer 6(3):261–269. https://doi.org/10.7150/jca.10402

    Article  PubMed  PubMed Central  Google Scholar 

  17. Lin JY, Bai DS, Zhou BH, Chen P, Qian JJ, Jin SJ, Jiang GQ (2018) Positive relationship between number of negative lymph nodes and duration of gallbladder cancer cause-specific survival after surgery. Cancer Manag Res 10:6961–6969. https://doi.org/10.2147/cmar.S187857

    Article  PubMed  PubMed Central  Google Scholar 

  18. Kuru B (2006) Prognostic significance of total number of nodes removed, negative nodes removed, and ratio of positive nodes to removed nodes in node positive breast carcinoma. Ejso 32(10):1082–1088. https://doi.org/10.1016/j.ejso.2006.06.005

    Article  CAS  PubMed  Google Scholar 

  19. Wang SG, Zhang B, Li CG, Cui C, Yue DS, Shi BW, Zhang Q, Zhang ZF, Zhang X, Wang CL (2017) Prognostic value of number of negative lymph node in patients with stage II and IIIa non-small cell lung cancer. Oncotarget 8(45):79387–79396. https://doi.org/10.18632/oncotarget.18154

    Article  PubMed  PubMed Central  Google Scholar 

  20. National Cancer Institute. Surveillance Epidemiology and End Results. Overview of the SEER program. https://seer.cancer.gov/.

  21. Camp RL, Dolled-Filhart M, Rimm DL (2004) X-tile: A new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res 10(21):7252–7259. https://doi.org/10.1158/1078-0432.Ccr-04-0713

    Article  CAS  PubMed  Google Scholar 

  22. Roberts TJ, Colevas AD, Hara W, Holsinger FC, Oakley-Girvan I, Divi V (2016) Number of positive nodes is superior to the lymph node ratio and American Joint Committee on Cancer N staging for the prognosis of surgically treated head and neck squamous cell carcinomas. Cancer 122(9):1388–1397. https://doi.org/10.1002/cncr.29932

    Article  PubMed  Google Scholar 

  23. Harrell FE Jr, Califf RM, Pryor DB, Lee KL, Rosati RA (1982) Evaluating the yield of medical tests. JAMA 247(18):2543–2546. https://doi.org/10.1001/jama.247.18.2543

    Article  PubMed  Google Scholar 

  24. Lv P, Chen G, Zhang P (2014) Log odds of positive lymph nodes are superior to other measures for evaluating the prognosis of non-small cell lung cancer. Thoracic Cancer 5(6):570–575. https://doi.org/10.1111/1759-7714.12145

    Article  PubMed  PubMed Central  Google Scholar 

  25. Liang W, He J, Shen Y, Shen J, He Q, Zhang J, Jiang G, Wang Q, Liu L, Gao S, Liu D, Wang Z, Zhu Z, Ng CSH, Liu C-c, Petersen RH, Rocco G, D'Amico T, Brunelli A, Chen H, Zhi X, Liu B, Yang Y, Chen W, Zhou Q, He J (2017) Impact of Examined Lymph Node Count on Precise Staging and Long-Term Survival of Resected Non-Small-Cell Lung Cancer: A Population Study of the US SEER Database and a Chinese Multi-Institutional Registry. J Clin Oncol 35(11):1162–1170. https://doi.org/10.1200/jco.2016.67.5140

    Article  PubMed  Google Scholar 

  26. Dziedzic D, Piotr R, Langfort R, Orlowski T, Polish Lung Cancer Study G (2017) Log odds of positive lymph nodes as a novel prognostic indicator in NSCLC staging. Surgical Oncology-Oxford 26(1):80–85. https://doi.org/10.1016/j.suronc.2017.01.004

    Article  Google Scholar 

  27. Deng W, Xu T, Wang Y, Xu Y, Yang P, Gomez D, Liao Z (2018) Log odds of positive lymph nodes may predict survival benefit in patients with node-positive non-small cell lung cancer. Lung Cancer 122:60–66. https://doi.org/10.1016/j.lungcan.2018.05.016

    Article  PubMed  Google Scholar 

  28. Johnson PM, Porter GA, Ricciardi R, Baxter NN (2006) Increasing negative lymph node count is independently associated with improved long-term survival in stage IIIB and IIIC colon cancer. J Clin Oncol 24(22):3570–3575. https://doi.org/10.1200/jco.2006.06.8866

    Article  PubMed  Google Scholar 

  29. Abd-Elhay FA, Elhusseiny KM, Kamel MG, Low SK, Sang TK, Mehyar GM, Minh LN, Hashan MR, Huy NT (2018) Negative Lymph Node Count and Lymph Node Ratio Are Associated With Survival in Male Breast Cancer. Clin Breast Cancer 18(6):E1293–E1310. https://doi.org/10.1016/j.clbc.2018.07.003

    Article  PubMed  Google Scholar 

  30. Schaapveld M, de Vries EGE, van der Graaf WTA, Otter R, de Vries J, Willemse PHB (2006) The prognostic effect of the number of histologically examined axillary lymph nodes in breast cancer: Stage migration or age association? Ann Surg Oncol 13(4):465–474. https://doi.org/10.1245/aso.2006.02.020

    Article  PubMed  Google Scholar 

  31. Karlsson P, Cole BF, Price KN, Coates AS, Castiglione-Gertsch M, Gusterson BA, Murray E, Linditner J, Collins JP, Holmberg SB, Fey MF, Thuerliumann B, Crivellari D, Forbes JF, Gelber RD, Goldhirsch A, Wallgren A (2007) The role of the number of uninvolved lymph nodes in predicting locoregional recurrence in breast cancer. J Clin Oncol 25(15):2019–2026. https://doi.org/10.1200/jco.2006.09.8152

    Article  PubMed  Google Scholar 

  32. Scosyrev E, Messing J, Noyes K, Veazie P, Messing E (2012) Surveillance Epidemiology and End Results (SEER) program and population-based research in urologic oncology: An overview. Urol Oncol-Semin Orig Investig 30(2):126–132. https://doi.org/10.1016/j.urolonc.2009.11.005

    Article  Google Scholar 

Download references

Funding

Supported by School of Public Health, Shanghai Jiao Tong University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qi Cheng.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, X., Wu, C. & Cheng, Q. Negative Lymph Node Count Predicts Survival of Resected Non-small Cell Lung Cancer. Lung 198, 839–846 (2020). https://doi.org/10.1007/s00408-020-00378-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00408-020-00378-7

Keywords

Navigation