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Nomograms to predict cancer-specific mortality in colon adenocarcinoma with different types of villous architecture

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International Journal of Colorectal Disease Aims and scope Submit manuscript

Abstract

Purpose

The role of villous architecture in the prognosis of colon adenocarcinoma remains unclear. This study aimed to investigate the prognostic factors of colon adenocarcinoma with different types of villous architecture and to establish nomograms for predicting cancer-specific mortality.

Methods

This retrospective study included 10,427 patients with colon adenocarcinoma arising in adenomas with villous architectures. The patients were stratified into the tubulovillous adenocarcinoma cohort and villous adenocarcinoma cohort. The prognostic risk factors, which were incorporated into nomograms for survival prediction, were determined by the log-rank test and Cox hazard models. The Harrell’s Concordance Index (C-index) and calibration curve were utilized to evaluate the prediction accuracy.

Results

The pathological type of villous architecture was independently associated with the mortality of the entire population. Age, race, tumor size, T/N/M stage, and chemotherapy were independent risk factors of mortality in both cohorts. Interestingly, tumor differentiation was a prognostic factor for tubulovillous adenocarcinoma rather than villous adenocarcinoma, while the retrieved lymph node number was a prognostic factor for villous adenocarcinoma rather than tubulovillous adenocarcinoma. Survival analysis showed that the mortality rate of villous adenocarcinoma was higher than that of tubulovillous adenocarcinoma (HR 1.361, P < 0.001). We then established nomograms to predict the mortality of both cohorts and found excellent discrimination and predictive accuracy (C-index 0.842 and 0.821).

Conclusion

Villous architecture is a determinant of colon adenocarcinoma outcomes, which might prompt reports of villous architecture in colon adenocarcinoma specimens by pathologists. Our population-based nomograms could be useful for predicting the survival of patients with colon adenocarcinoma and guiding individualized treatments.

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Availability of data and material

The dataset is available on an online repository (https://seer.cancer.gov/seerstat/).

Code availability

The R script is available from the corresponding author when required for specific reasons.

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Funding

This work was supported by the national Key R&D Program of China (No. 2017YFC1308800); National Natural Science Foundation of China (No. 81970482); Natural Science Foundation of Guangdong Province, China (No. 2019A1515011313); The Sixth Affiliated Hospital of Sun Yat-Sen University Clinical Research- ‘1010’ Program (No. 1010PY(2020)-63), and National Key Clinical Discipline.

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Authors and Affiliations

Authors

Contributions

XH, XC, and PL conceived and designed the analysis. XC, JH, LX, JC, YL, and ZC collected the data. XC, JH and LX, JC performed the analysis. XC, JH, and LX, JC drafted the original manuscript. All the authors commented on previous versions of the manuscript. XH and PL revised the manuscript and provided professional advice during the whole research process. All the authors read and approved the final manuscript.

Corresponding authors

Correspondence to Xiaosheng He or Ping Lan.

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Ethics approval

The data contained in the current study were extracted from the open-access SEER database that could be used for medical study. The patient’s name was replaced by an internal ID number that is unable to be accessed by others. The results of the current study will not cause any harm to the patients, and it will be beneficial to subsequent patients. Therefore, no ethical approval is required. This study was conducted adhered to the ethical standards of the World Medical Association Declaration of Helsinki and the Ethical Guidelines for Clinical Research.

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Informed consent was waived in this study.

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This manuscript has not been published in whole or in part nor is it being considered for publication elsewhere. All the authors approved the final version of the article, including the authorship list, and all the authors agree to publish this journal.

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The authors declare no competing interests.

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Chen, X., Hu, J., Xu, L. et al. Nomograms to predict cancer-specific mortality in colon adenocarcinoma with different types of villous architecture. Int J Colorectal Dis 36, 1965–1979 (2021). https://doi.org/10.1007/s00384-021-03997-5

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