Skip to main content

Advertisement

Log in

Comparison of model fit and discriminatory ability of the 8th edition of the tumor-node-metastasis classification and the 9th edition of the Japanese classification to identify stage III colorectal cancer

  • Original Article
  • Published:
International Journal of Clinical Oncology Aims and scope Submit manuscript

Abstract

Background

The most widely accepted staging system for colorectal cancer (CRC) is the tumor-node-metastasis (TNM) classification. In Japan, the Japanese Classification of Colorectal, Appendiceal, and Anal Carcinoma (JCCRC) system is used. The two systems differ mainly in relation to tumor deposits (TD) and metastasis in the regional lymph nodes along the main feeding arteries and lateral pelvic lymph nodes (N3). Here, we investigated the prognostic ability of the two systems for stage III CRC.

Methods

We reviewed 696 consecutive patients who underwent curative resection of stage III CRC at the National Cancer Center Hospital between May 2007 and April 2014. We examined the clinicopathological features of CRC and predicted overall survival (OS) and relapse-free survival (RFS) according to the 8th TNM and 9th JCCRC systems. The systems were compared using Akaike’s information criterion (AIC), Harrell’s concordance index (C-index), and time-dependent receiver-operating characteristic (ROC) curves.

Results

The 9th JCCRC system was more clinically effective according to AIC (OS, 1199 vs. 1206; RFS, 2047 vs. 2057), showed better discriminatory ability according to the C-index (OS, 0.65 vs. 0.62; RFS, 0.62 vs. 0.58), and its time-dependent ROC curve was superior compared with the 8th TNM system.

Conclusion

These results suggest that the 9th JCCRC system has superior discriminative ability to the 8th TNM system, because the 9th JCCRC accounts for the presence of TD and N3 disease, which were both significant predictors of poor prognosis. Reconsidering the clinical value of these two factors in the TNM system could improve its clinical significance.

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

Similar content being viewed by others

Abbreviations

AIC:

Akaike’s information criterion

AUC:

Area under the curve

CRC:

Colorectal cancer

EX:

Extramural cancer deposits without lymph node structure

JCCRC:

Japanese Classification of Colorectal, Appendiceal, and Anal Carcinoma

JSCCR:

Japanese Society for Cancer of the Colon and Rectum

LLNM:

Lateral pelvic lymph node metastasis

LPLN:

Lateral pelvic lymph node

MLN:

Main lymph node

MLNM:

Main lymph node metastasis

ND:

Tumor nodules

OS:

Overall survival

RFS:

Relapse-free survival

ROC:

Receiver-operating characteristic

TD:

Tumor deposits

TNM:

Tumor-node-metastasis

UICC:

Union for International Cancer Control

References

  1. UICC (2017) TNM classification of malignant tumours, 8th edn. Wiley, New York

    Google Scholar 

  2. JSCCR (2018) Japanese classification of colorectal, appendiceal, and anal carcinoma, 9th edn. Kanehara & Co. Ltd, Tokyo

    Google Scholar 

  3. Shida D, Kanemitsu Y, Hamaguchi T et al (2019) Introducing the eighth edition of the tumor-node-metastasis classification as relevant to colorectal cancer, anal cancer and appendiceal cancer: a comparison study with the seventh edition of the tumor-node-metastasis and the Japanese classification of colorectal, appendiceal, and anal carcinoma. Jpn J Clin Oncol 49(4):321–328. https://doi.org/10.1093/jjco/hyy198

    Article  PubMed  Google Scholar 

  4. Shinto E, Hida JI, Ike H et al (2018) A new N staging system for colorectal cancer in the era of extended lymphadenectomy. Ann Surg Oncol 25(13):3891–3897. https://doi.org/10.1245/s10434-018-6786-x

    Article  PubMed  Google Scholar 

  5. Hashiguchi Y, Muro K, Saito Y et al (2020) Japanese society for cancer of the colon and rectum (JSCCR) guidelines 2019 for the treatment of colorectal cancer. Int J Clin Oncol 25(1):1–42. https://doi.org/10.1007/s10147-019-01485-z

    Article  PubMed  Google Scholar 

  6. Shinto E, Hida JI, Kobayashi H et al (2018) Prominent information of jN3 positive in stage III colorectal cancer removed by D3 dissection: retrospective analysis of 6866 patients from a multi-institutional database in Japan. Dis Colon Rectum 61(4):447–453. https://doi.org/10.1097/DCR.0000000000001009

    Article  PubMed  Google Scholar 

  7. Han L, Mo S, Xiang W et al (2019) Prognostic accuracy of different lymph node staging system in predicting overall survival in stage IV colon cancer. Int J Colorectal Dis. https://doi.org/10.1007/s00384-019-03486-w

    Article  PubMed  Google Scholar 

  8. Komori K, Fujita S, Mizusawa J et al (2019) Predictive factors of pathological lateral pelvic lymph node metastasis in patients without clinical lateral pelvic lymph node metastasis (clinical stage II/III): the analysis of data from the clinical trial (JCOG0212). Eur J Surg Oncol 45(3):336–340. https://doi.org/10.1016/j.ejso.2018.11.016

    Article  PubMed  Google Scholar 

  9. Fujita S, Yamamoto S, Akasu T et al (2003) Lateral pelvic lymph node dissection for advanced lower rectal cancer. Br J Surg 90(12):1580–1585. https://doi.org/10.1002/bjs.4350

    Article  CAS  PubMed  Google Scholar 

  10. Ueno M, Oya M, Azekura K et al (2005) Incidence and prognostic significance of lateral lymph node metastasis in patients with advanced low rectal cancer. Br J Surg 92(6):756–763. https://doi.org/10.1002/bjs.4975

    Article  CAS  PubMed  Google Scholar 

  11. Sugihara K, Kobayashi H, Kato T et al (2006) Indication and benefit of pelvic sidewall dissection for rectal cancer. Dis Colon Rectum 49(11):1663–1672. https://doi.org/10.1007/s10350-006-0714-z

    Article  PubMed  Google Scholar 

  12. Ueno H, Mochizuki H, Hashiguchi Y et al (2007) Extramural cancer deposits without nodal structure in colorectal cancer optimal categorization for prognostic staging. Am J Clin Pathol 127:287–294. https://doi.org/10.1309/903UT10VQ3LC7B8L

    Article  PubMed  Google Scholar 

  13. Ueno H, Mochizuki H, Akagi Y et al (2012) Optimal colorectal cancer staging criteria in TNM classification. J Clin Oncol 30(13):1519–1526. https://doi.org/10.1200/jco.2011.39.4692

    Article  PubMed  Google Scholar 

  14. Chen VW, Hsieh MC, Charlton ME et al (2014) Analysis of stage and clinical/prognostic factors for colon and rectal cancer from SEER registries: AJCC and collaborative stage data collection system. Cancer 120(Suppl 23):3793–3806. https://doi.org/10.1002/cncr.29056

    Article  PubMed  Google Scholar 

  15. Wong-Chong N, Motl J, Hwang G et al (2018) Impact of tumor deposits on oncologic outcomes in stage III colon cancer. Dis Colon Rectum 61(9):1043–1052. https://doi.org/10.1097/dcr.0000000000001152

    Article  PubMed  Google Scholar 

  16. Basnet S, Lou Q-F, Liu N et al (2018) Tumor deposit is an independent prognostic indicator in patients who underwent radical resection for colorectal cancer. J Cancer 9(21):3979–3985. https://doi.org/10.7150/jca.27475

    Article  PubMed  PubMed Central  Google Scholar 

  17. Pellino G, Warren O, Mills S et al (2018) Comparison of Western and Asian guidelines concerning the management of colon cancer. Dis Colon Rectum 61(2):250–259. https://doi.org/10.1097/dcr.0000000000001012

    Article  PubMed  Google Scholar 

  18. Kamarudin AN, Cox T, Kolamunnage-Dona R (2017) Time-dependent ROC curve analysis in medical research: current methods and applications. BMC Med Res Methodol 17(1):53–53. https://doi.org/10.1186/s12874-017-0332-6

    Article  PubMed  PubMed Central  Google Scholar 

  19. Nagayoshi K, Ueki T, Nishioka Y et al (2014) Tumor deposit is a poor prognostic indicator for patients who have stage II and III colorectal cancer with fewer than 4 lymph node metastases but not for those with 4 or more. Dis Colon Rectum 57(4):467–474. https://doi.org/10.1097/dcr.0000000000000059

    Article  PubMed  Google Scholar 

  20. Tong LL, Gao P, Wang ZN et al (2012) Is the seventh edition of the UICC/AJCC TNM staging system reasonable for patients with tumor deposits in colorectal cancer? Ann Surg 255(2):208–213. https://doi.org/10.1097/SLA.0b013e31821ad8a2

    Article  PubMed  Google Scholar 

  21. Song YX, Gao P, Wang ZN et al (2012) Can the tumor deposits be counted as metastatic lymph nodes in the UICC TNM staging system for colorectal cancer? PLoS ONE 7(3):e34087. https://doi.org/10.1371/journal.pone.0034087

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Jin M, Roth R, Rock JB et al (2015) The impact of tumor deposits on colonic adenocarcinoma AJCC TNM staging and outcome. Am J Surg Pathol 39(1):109–115. https://doi.org/10.1097/pas.0000000000000320

    Article  PubMed  PubMed Central  Google Scholar 

  23. Wang S, Guan X, Ma M et al (2020) Reconsidering the prognostic significance of tumour deposit count in the TNM staging system for colorectal cancer. Sci Rep 10(1):89. https://doi.org/10.1038/s41598-019-57041-2

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Bertelsen CA, Neuenschwander AU, Jansen JE et al (2015) Disease-free survival after complete mesocolic excision compared with conventional colon cancer surgery: a retrospective, population-based study. Lancet Oncol 16(2):161–168. https://doi.org/10.1016/s1470-2045(14)71168-4

    Article  PubMed  Google Scholar 

  25. Blanche P, Dartigues JF, Jacqmin-Gadda H (2013) Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks. Stat Med 32(30):5381–5397. https://doi.org/10.1002/sim.5958

    Article  PubMed  Google Scholar 

  26. Blanche P, Kattan MW, Gerds TA (2019) The c-index is not proper for the evaluation of $t$-year predicted risks. Biostatistics 20(2):347–357. https://doi.org/10.1093/biostatistics/kxy006

    Article  PubMed  Google Scholar 

  27. Bansal A, Heagerty PJ (2018) A tutorial on evaluating the time-varying discrimination accuracy of survival models used in dynamic decision making. Med Decis Making 38(8):904–916. https://doi.org/10.1177/0272989x18801312

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

None to report.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dai Shida.

Ethics declarations

Conflict of interest

No author has any conflict of interest.

Additional information

Publisher's Note

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

Supplementary Information

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kitamura, K., Shida, D., Sekine, S. et al. Comparison of model fit and discriminatory ability of the 8th edition of the tumor-node-metastasis classification and the 9th edition of the Japanese classification to identify stage III colorectal cancer. Int J Clin Oncol 26, 1671–1678 (2021). https://doi.org/10.1007/s10147-021-01955-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10147-021-01955-3

Keywords

Navigation