Skip to main content

Advertisement

SpringerLink
Log in

Clinical characteristics and prognosis analysis of postoperative patients with stage I–III colon cancer based on SEER database

  • RESEARCH ARTICLE
  • Published:
Clinical and Translational Oncology Aims and scope Submit manuscript

Abstract

Purpose

To identify the relevant factors affecting the prognosis and survival time of colon cancer and construct a survival prediction model.

Methods

Data on postoperative stage I–III colon cancer patients were obtained from the Surveillance, Epidemiology, and End Results database. We used R project to analyze the data. Univariate and multivariate Cox regression analyses were performed for independent factors correlated with overall survival from colon cancer. The C-index was used to screen the factors that had the greatest influence in overall survival after surgery in colon cancer patients. Receiver operating characteristic (ROC) curve was made according to the Risk score and calculated to validate the predictive accuracy of the model. In addition, we used decision curve analysis (DCA) to evaluate the clinical benefits and utility of the nomogram. We created a model survival curve to determine the difference in prognosis between patients in the low-risk group and those in the high-risk group.

Results

Univariate and multifactor COX analyses showed that the race, Grade, tumor size, N-stage and T-stage were independent risk factors affecting survival time of patients. The analysis of ROC and DCA showed the nomogram prediction model constructed based on the above indicators has good predictive effects.

Conclusion

Overall, the nomogram constructed in this study has good predictive effects. It can provide a reference for future clinicians to evaluate the prognosis of colon cancer patients.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424.

    Article  PubMed  Google Scholar 

  2. Stoffel EM, Murphy CC. Epidemiology and mechanisms of the increasing incidence of colon and rectal cancers in young adults. Gastroenterology. 2020;158(2):341–53.

    Article  PubMed  Google Scholar 

  3. Siegel RL, Miller KD, Goding Sauer A, Fedewa SA, Butterly LF, Anderson JC, et al. Colorectal cancer statistics, 2020. CA Cancer J Clin. 2020;70(3):145–64.

    Article  PubMed  Google Scholar 

  4. Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement. Br J Surg. 2015;102(3):148–58.

    Article  CAS  PubMed  Google Scholar 

  5. Wang Z, Wang Y, Yang Y, Luo Y, Liu J, Xu Y, et al. A competing-risk nomogram to predict cause-specific death in elderly patients with colorectal cancer after surgery (especially for colon cancer). World J Surg Oncol. 2020;18(1):30.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Wu Q, Wang WJ, Huang YQ, Fang SY, Guan YJ. Nomograms for estimating survival in patients with liver-only colorectal metastases: a retrospective study. Int J Surg. 2018;60:1–8.

    Article  PubMed  Google Scholar 

  7. Guan X, Ma CX, Quan JC, Zhao ZX, Chen HP, Sun P, et al. A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis. J Cancer. 2020;11(15):4366–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Wang S, Yang L, Ci B, Maclean M, Gerber DE, Xiao G, et al. Development and validation of a nomogram prognostic model for SCLC patients. J Thorac Oncol. 2018;13(9):1338–48.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Chen S, Lai Y, He Z, Li J, He X, Shen R, et al. Establishment and validation of a predictive nomogram model for non-small cell lung cancer patients with chronic hepatitis B viral infection. J Transl Med. 2018;16(1):116.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Tang LQ, Li CF, Li J, Chen WH, Chen QY, Yuan LX, et al. Establishment and validation of prognostic nomograms for endemic nasopharyngeal carcinoma. J Natl Cancer Inst. 2015;108(1):djv291.

    Article  PubMed  Google Scholar 

  11. Rex DK, Boland CR, Dominitz JA, Giardiello FM, Johnson DA, Kaltenbach T, et al. Colorectal cancer screening: recommendations for physicians and patients from the U.S. Multi-Society Task Force on Colorectal Cancer. Am J Gastroenterol. 2017;112(7):1016–30.

    Article  PubMed  Google Scholar 

  12. Brenner H, Stock C, Hoffmeister M. Effect of screening sigmoidoscopy and screening colonoscopy on colorectal cancer incidence and mortality: systematic review and meta-analysis of randomised controlled trials and observational studies. BMJ. 2014;348: g2467.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Dai W, Mo S, Xiang W, Han L, Li Q, Wang R, et al. The critical role of tumor size in predicting prognosis for T1 Colon cancer. Oncologist. 2020;25(3):244–51.

    Article  CAS  PubMed  Google Scholar 

  14. Saha S, Shaik M, Johnston G, Saha SK, Berbiglia L, Hicks M, et al. Tumor size predicts long-term survival in colon cancer: an analysis of the National Cancer Data Base. Am J Surg. 2015;209(3):570–4.

    Article  PubMed  Google Scholar 

  15. Dai W, Li Y, Meng X, Cai S, Li Q, Cai G. Does tumor size have its prognostic role in colorectal cancer? Re-evaluating its value in colorectal adenocarcinoma with different macroscopic growth pattern. Int J Surg. 2017;45:105–12.

    Article  PubMed  Google Scholar 

  16. Yan Q, Zhang K, Guo K, Liu S, Wasan HS, Jin H, et al. Value of tumor size as a prognostic factor in metastatic colorectal cancer patients after chemotherapy: a population-based study. Future Oncol. 2019;15(15):1745–58.

    Article  CAS  PubMed  Google Scholar 

  17. Santullo F, Biondi A, Cananzi FCM, Fico V, Tirelli F, Ricci R, et al. Tumor size as a prognostic factor in patients with stage IIa colon cancer. Am J Surg. 2018;215(1):71–7.

    Article  PubMed  Google Scholar 

  18. Delattre JF, Selce Oguz Erdogan A, Cohen R, Shi Q, Emile JF, Taieb J, et al. A comprehensive overview of tumour deposits in colorectal cancer: Towards a next TNM classification. Cancer Treat Rev. 2022;103:102325.

    Article  PubMed  Google Scholar 

  19. Lea D, Håland S, Hagland HR, Søreide K. Accuracy of TNM staging in colorectal cancer: a review of current culprits, the modern role of morphology and stepping-stones for improvements in the molecular era. Scand J Gastroenterol. 2014;49(10):1153–63.

    Article  PubMed  Google Scholar 

  20. Chen YG, Liu YL, Liu Z, Ge X, Wang XS. Comparative study of oncologic outcomes after multivisceral resection for stage IIC colorectal cancer between inflammatory and malignant adhesion. Zhonghua Wei Chang Wai Ke Za Zhi. 2011;14(4):267–70.

    PubMed  Google Scholar 

Download references

Funding

This study was funded by Basic research funding for higher education institutions in Heilongjiang Province in 2020 (2020-KYYWF-0032).

Author information

Authors and Affiliations

  1. Department of Oncology Surgery, The Second Affiliated Hospital of Qiqihaer Medical University, No. 37 Zhonghuaxi Road, Jianhua District, Qiqihar, 161006, Heilongjiang, China

    Fuqiang Zhao, Jingying Zhao, Chunlei Zheng & Kepeng Ning

  2. Department of Pharmacy Department, The Second Affiliated Hospital of Qiqihaer Medical University, Qiqihar, China

    Ying Sun

  3. Department of Epidemiology and Statistic, Public Health College, Qiqihaer Medical University, Qiqihar, China

    Jie Ge

Authors
  1. Fuqiang Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ying Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jingying Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jie Ge
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chunlei Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Kepeng Ning
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Contributions: (I) FZ and YS contributed to Conception and design; (II) FZ was involved in administrative support; (III) FZ, YS, KN contributed to provision of study materials or patients; (IV) FZ, JZ, and CZ were involved in collection and assembly of data; (V) FZ, JG contributed to data analysis and interpretation; (VI) All authors were involved in manuscript writing and final approval of manuscript.

Corresponding author

Correspondence to Fuqiang Zhao.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

The study was approved by Ethical Committee of The Second Affiliated Hospital of Qiqihaer Medical University and conducted in accordance with the ethical standards.

Informed consent

Subjects signed the informed consent.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, F., Sun, Y., Zhao, J. et al. Clinical characteristics and prognosis analysis of postoperative patients with stage I–III colon cancer based on SEER database. Clin Transl Oncol 26, 225–230 (2024). https://doi.org/10.1007/s12094-023-03239-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12094-023-03239-w

Keywords

Search

Navigation