Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Dec 28;14(1):31219.
doi: 10.1038/s41598-024-82595-1.

Relationship between clinical features and distant metastases in rectal cancer predicted based on a nomogram: a retrospective cohort study

Qiong Jia  1 , Guoli Li  1 , Min Zhang  1 , Mingyue Guo  2
Affiliations

Relationship between clinical features and distant metastases in rectal cancer predicted based on a nomogram: a retrospective cohort study

Qiong Jia et al. Sci Rep. .

Abstract

Rectal cancer is a prevalent global malignancy. Recurrence and metastasis significantly impact patient survival over the long term. This study aims to identify independent risk factors associated with distant metastases in rectal cancer (RC) patients and develop a prognostic columnar-line diagram. This retrospective analysis encompasses data from 1,118 RC patients treated at the Department of Anorectal Surgery, Chifeng Municipal Hospital, between December 2015 and October 2023. These patients were diagnosed with stage I-IV RC. Univariate and multivariate Cox proportional hazard regression models identified risk factors for distant metastases development. The median follow-up duration was 61.3 months (range 2.24-96.33 months). The identified factors linked to distant metastases in RC included hemoglobin levels, body mass index (BMI), leukocyte neutrophil percentage, tumour diameter, pathology type, differentiation degree, number of detected lymph nodes, and T and N stages. These factors are significant risk indicators for distant metastases in RC patients. Incorporating these identified risk factors into a columnar-line diagram effectively predicts the likelihood of distant metastasis in RC patients. This approach aids in devising precise treatment strategies during the initial patient consultation.

Keywords: BMI; Distant; Hemoglobin; Nomogram; Rectal cancer.

PubMed Disclaimer

Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The bar graph of clinicpathological feature.
Fig. 2
Fig. 2
The forest graph of unicox.
Fig. 3
Fig. 3
The forest graph of mulcox.
Fig. 4
Fig. 4
The nomogram of the risk factors in RC patients.
Fig. 5
Fig. 5
The ROC of the model.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Cao, W., Chen, H. D., Yu, Y. W., Li, N. & Chen, W. Q. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin. Med. J. (Engl)134(7), 783–791 (2021). - PMC - PubMed
    1. Liu, S. et al. Total neoadjuvant therapy (TNT) versus standard neoadjuvant chemoradiotherapy for locally advanced rectal cancer: a systematic review and meta-analysis. Oncologist26(9), e1555–e1566 (2021). - PMC - PubMed
    1. Ciardiello, F. et al. Clinical management of metastatic colorectal cancer in the era of precision medicine. CA Cancer J. Clin.72(4), 372–401 (2022). - PubMed
    1. Kuipers, E. J. et al. Colorectal cancer. Nat. Rev. Dis. Primers1, 15065 (2015). - PMC - PubMed
    1. Sanghani, M. et al. Validation of a web-based predictive nomogram for ipsilateral breast tumor recurrence after breast conserving therapy. J. Clin. Oncol.28(5), 718–722 (2010). - PMC - PubMed

LinkOut - more resources