Dataset Information

A novel inflammation-related prognostic biomarker for predicting the disease-free survival of patients with colorectal cancer.

ABSTRACT:

Background

To develop and evaluate the prognostic value of a comprehensive inflammatory biomarker for postoperative colorectal cancer (CRC) patients.

Methods

A total of 646 CRC patients were recruited between August 2017 and December 2019 from Fujian Medical University Union Hospital, with follow-up data up to 2021. The least absolute shrinkage and selection operator method (LASSO) was used to select inflammation indicators in order to construct a comprehensive biomarker (named NSAP). The Cox regression model was utilized to analyze the association between the NSAP and the disease-free survival (DFS) of CRC. Predictive performance and clinical utility of prognostic models were evaluated by area under the curve (AUC) and decision curve analyses (DCAs).

Results

During a median follow-up of 23 months, 95 clinical outcomes were observed, with a 1-year survival rate is 89.47%. A comprehensive inflammatory biomarker (NSAP) was established based on four blood indicators (including neutrophil-to-lymphocyte ratio (NLR), neutrophil×monocyte-to-lymphocyte ratio (SIRI), albumin-to-globulin ratio (AGR), and platelet-to-lymphocytes ratio (PLR)). Patients with a lower NSAP had significantly associated with better DFS of CRC (HR=0.53, 95%CI 0.32-0.89). Moreover, compared to a previously established model, the traditional TNM staging system or/and tumor markers, the nomogram based on NSAP displayed more excellent predictive ability (0.752 vs 0.597, 0.711 and 0.735, P < 0.05). DCAs also demonstrated that the established nomogram had better utility for decision making.

Conclusions

Our study suggests that NSAP may be a useful comprehensive prognostic biomarker for predicting the DFS of CRC patients. The nomogram based on NSAP can be considered a valuable tool to estimate the prognosis of patients with CRC.

SUBMITTER: Cai X

PROVIDER: S-EPMC8917685 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Publications

A novel inflammation-related prognostic biomarker for predicting the disease-free survival of patients with colorectal cancer.

Cai Xiaoling X Chen Fa F Liang Lisheng L Jiang Weizhong W Liu Xing X Wang Dong D Wu Yunli Y Chen Jinyan J Guan Guoxian G Peng Xian-E XE

World journal of surgical oncology 20220311 1

<h4>Background</h4>To develop and evaluate the prognostic value of a comprehensive inflammatory biomarker for postoperative colorectal cancer (CRC) patients.<h4>Methods</h4>A total of 646 CRC patients were recruited between August 2017 and December 2019 from Fujian Medical University Union Hospital, with follow-up data up to 2021. The least absolute shrinkage and selection operator method (LASSO) was used to select inflammation indicators in order to construct a comprehensive biomarker (named NS ...[more]

PMID: 35277188

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Dataset Information

A novel inflammation-related prognostic biomarker for predicting the disease-free survival of patients with colorectal cancer.

Background

Methods

Results

Conclusions

Publications

A novel inflammation-related prognostic biomarker for predicting the disease-free survival of patients with colorectal cancer.

Similar Datasets

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