BMC Surgery · 2024 · 27 citations · 30 references
MedicineOncologySurgeryGastrointestinal OncologyInflammationSurgical OncologyCancer BiomarkersCancer Survival AnalysisColorectal CancerImmuno-oncology BiomarkersNeoadjuvant TherapyTherapy Response AssessmentColorectal Cancer Neoadjuvant TherapyColorectal Cancer PrognosisNeoadjuvant ChemoradiotherapyNeutrophil-to-lymphocyte RatioPrognostic BiomarkersPrognostic Factors AnalysisRectal Cancer Neoadjuvant TherapySystemic Inflammation Markers
BACKGROUND: Inflammation is a part of tumours, and inflammatory cells can affect the proliferation, invasion, and development of tumour cells. An increasing number of peripheral blood inflammatory markers have been found to play very important roles in the treatment and prognosis of cancer patients. The systemic inflammatory response index (SIRI) is a newer inflammatory marker, and its role in colorectal cancer, especially in locally advanced rectal cancer, is still unclear. METHODS: From 2015 to 2020, 198 patients with locally advanced rectal cancer (LARC) who underwent surgery following neoadjuvant chemoradiotherapy (Neo-CRT) were analysed. Patients were categorized into good- and poor- response groups according to their pathological results, and clinical characteristics and baseline parameters were compared between the two groups. The optimal cutoff values for inflammatory indicators were determined using receiver operating characteristic (ROC) analysis. Univariate and multivariate analyses were performed using the Cox proportional hazard model. Survival analysis was performed via the Kaplan‒Meier method. RESULTS: After patients were grouped into good and poor response groups, indicator differences were found in CEA, neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and SIRI. According to the ROC analysis, the NLR (P = 0.015), SII (P = 0.001), and SIRI (P = 0.029) were significant prognostic factors. After univariate and multivariate analyses of the Cox proportional hazards regression model, only the SIRI was found to be an independent prognostic factor for overall survival (OS) and disease-free survival (DFS). Finally, Kaplan‒Meier survival curves also confirmed the ability of the SIRI to predict survival. CONCLUSION: The preoperative SIRI can be used to predict the response to Neo-CRT in LARC patients and is an independent predictor of OS and DFS in postoperative patients. A high SIRI was associated with poor radiotherapy response and predicted poor OS and DFS.
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Systemic immune-inflammation index for predicting prognosis of colorectal cancer
Jianhui Chen, Ertao Zhai, Yujie Yuan et al. · World Journal of Gastroenterology · 2017 · 740 citations · Full text
Medicine, Immunology, Oncology +16