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Article Open Access

Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis

  • Authors:
    • Dongjun Dai
    • Bingluo Zhou
    • Yiming Zhong
    • Hongchuan Jin
    • Xian Wang
  • View Affiliations / Copyright

    Affiliations: Department of Medical Oncology, Sir Run Run Shaw Hospital Medical School, Zhejiang University, Hangzhou, Zhejiang 310016, P.R. China, Laboratory of Cancer Biology, Key Lab of Biotherapy, Sir Run Run Shaw Hospital Medical School, Zhejiang University, Hangzhou, Zhejiang 310016, P.R. China
    Copyright: © Dai et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 6594-6604
    |
    Published online on: October 30, 2019
       https://doi.org/10.3892/ol.2019.11024
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Abstract

The aim of the present study was to use a competing risk model to analyze the prognostic value of mucinous adenocarcinoma (MAC) in patients with colorectal cancer (CRC). An additional aim was to construct nomograms for estimating the 3‑ and 5‑year overall survival (OS) and cancer specific survival (CSS) rates of patients with primary CRC with MAC. The data were extracted from the Surveillance, Epidemiology, and End Results database, and a Multivariate Cox model and competing risk model were applied to assess the OS and CSS. Cox‑based and competing risk‑based nomograms were constructed and internally validated by discrimination and calibration, using the bootstrapping method with 1,000 times replicates. A total of 13,035 MAC and 61,958 non‑mucinous adenocarcinoma (NMAC) CRC patients were enrolled in the present study. Compared with NMAC, MAC patients had a poorer OS and CSS time in the overall population, and in subgroups that comprised metastatic, non‑metastatic, male, site of sigmoid colon, rectosigmoid junction and rectal CRC cases (HR>1; P<0.05). The Cox and competing risk‑based nomograms showed effective discrimination and calibration. In conclusion, MAC was associated with poor OS and CSS in patients with CRC of the distal colon and rectum. The nomograms of primary CRC patients with MAC may aid the identification of individual patients with a high risk of overall mortality and cancer‑associated mortality within 3 or 5 years.
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Copy and paste a formatted citation
Spandidos Publications style
Dai D, Zhou B, Zhong Y, Jin H and Wang X: Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis. Oncol Lett 18: 6594-6604, 2019.
APA
Dai, D., Zhou, B., Zhong, Y., Jin, H., & Wang, X. (2019). Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis. Oncology Letters, 18, 6594-6604. https://doi.org/10.3892/ol.2019.11024
MLA
Dai, D., Zhou, B., Zhong, Y., Jin, H., Wang, X."Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis". Oncology Letters 18.6 (2019): 6594-6604.
Chicago
Dai, D., Zhou, B., Zhong, Y., Jin, H., Wang, X."Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis". Oncology Letters 18, no. 6 (2019): 6594-6604. https://doi.org/10.3892/ol.2019.11024
Copy and paste a formatted citation
x
Spandidos Publications style
Dai D, Zhou B, Zhong Y, Jin H and Wang X: Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis. Oncol Lett 18: 6594-6604, 2019.
APA
Dai, D., Zhou, B., Zhong, Y., Jin, H., & Wang, X. (2019). Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis. Oncology Letters, 18, 6594-6604. https://doi.org/10.3892/ol.2019.11024
MLA
Dai, D., Zhou, B., Zhong, Y., Jin, H., Wang, X."Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis". Oncology Letters 18.6 (2019): 6594-6604.
Chicago
Dai, D., Zhou, B., Zhong, Y., Jin, H., Wang, X."Survival of patients with resected primary colorectal mucinous adenocarcinoma: A competing risk nomogram analysis". Oncology Letters 18, no. 6 (2019): 6594-6604. https://doi.org/10.3892/ol.2019.11024
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