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

The prognostic value of systemic inflammation response index in digestive system carcinomas: a systematic review and meta-analysis

BACKGROUND

Digestive system carcinomas (DSC) constitute a significant proportion of solid tumors, with incidence rates rising steadily each year. The systemic inflammation response index (SIRI) has been identified as a potential prognostic marker for survival in various types DSC. This meta-analysis aimed to evaluate the prognostic value of SIRI in patients with DSC.

METHODS

We conducted a comprehensive literature search of PubMed, Web of Science Core Collection, Embase, and Cochrane Library databases, searching for studies published from inception to May 30, 2023. Eligible studies included cohort studies that assessed the association between pre-treatment SIRI levels and DSC prognosis. We extracted and synthesized hazard ratios (HRs) and 95% confidence intervals (CIs) using STATA/SE 12.0, stratifying HRs based on univariable and multivariable analysis. Due to substantial heterogeneity, we applied a random-effect model for all pooled analyses. The primary outcome of interest was the overall survival (OS), while secondary outcomes included progression-free survival (PFS), disease-free survival (DFS), time to progression (TTP), and disease specific survival (DSS). Publication bias was evaluated using Begg's test and Egger's tests.

RESULTS

A total of 34 cohort studies encompassing 9628 participants were included in this meta-analysis. Notable heterogeneity was observedin the OS (I2 = 76.5%, p < 0.001) and PFS (I2 = 82.8%, p = 0.001) subgroups, whereas no significant heterogeneity was detected in the DFS, TTP, and DSS subgroups. Elevated SIRI was found to be significantly associated with shorter OS (HR = 1.98, 95% CI: 1.70-2.30, tau2 = 0.0966) and poorer PFS (HR = 2.36, 95% CI: 1.58-3.53, tau2 = 0.1319), DFS (HR = 1.80, 95% CI: 1.61-2.01, tau2 < 0.0001), TTP (HR = 2.03, 95% CI: 1.47-2.81, tau2 = 0.0232), and DSS (HR = 1.99, 95% CI: 1.46-2.72, tau2 < 0.0001). Furthermore, an increase in SIRI following treatment was linked to reduced OS, TTP, and DFS, while a decrease in SIRI post-treatment corresponded with improved OS, TTP, and DFS compared to baseline levels.

CONCLUSIONS

Elevated SIRI is associated with poorer clinical outcomes in patients with DSC. This index may serve as a valuable prognostic biomarker, offering a promising tool for predicting survival in DSC patients.

PROSPERO

REGISTRATION NUMBER: CRD42023430962.

Development and validation of a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection after radical colorectal cancer surgery

OBJECTIVE

To develop and validate a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection (POI) after radical colorectal cancer (CRC) surgery.

DESIGN

Cross-sectional study.

PARTICIPANTS

This study analysed 866 CRC patients after radical surgery at a tertiary hospital in China.

METHODS

Univariable and multivariable logistic regression (LR) analyses were used to explore influence factors of POI. Predictive models were constructed using LR, random forest, support vector machine, K-nearest neighbours, naive Bayes and XGBoost. The LR model was used to generate a nomogram for POI prediction. The discrimination and calibration of the nomogram were assessed using receiver operating characteristic (ROC) curves and calibration curves. The contributions of inflammatory and nutritional indexes to the nomogram were evaluated through Net Reclassification Improvement and integrated discrimination improvement, while clinical practicability was assessed using decision curve analysis.

MAIN OUTCOME MEASURES

POI during hospitalisation.

RESULTS

Independent factors identified from multivariable LR for prediction POI included age, respiratory disease, Systemic Inflammation Response Index, albumin-to-globulin ratio, operative method and operative duration. The LR model demonstrated the best performance, with an area under the ROC curve of 0.773 (95% CI: 0.674 to 0.872). The nomogram has good differentiation ability, calibration and net benefit. Incorporating inflammatory and nutritional indexes into the nomogram enhanced predictive value compared with models excluding either factor.

CONCLUSION

The nomogram related to inflammatory and nutritional indexes may represent a promising tool for predicting POI after radical surgery in CRC patients.

Construction and validation of a nomogram for predicting disease-free survival after radical resection of rectal cancer using perioperative inflammatory indicators

Background

Colorectal cancer is a common digestive tract malignancy that seriously affects patients' quality of life and survival time. Surgery is the main treatment modality, but postoperative prognosis varies greatly. This study sought to explore the impact of perioperative inflammatory indicators on disease-free survival (DFS) in patients after radical resection of rectal cancer and to construct a nomogram for clinical reference.

Methods

A retrospective analysis was performed on 304 primary rectal adenocarcinoma patients who underwent laparoscopic radical resection of rectal cancer at the Affiliated Hospital of Xuzhou Medical University from May 1, 2018 to September 30, 2020. The patients were divided into a training set (n=213) and a validation set (n=91) at a ratio of 7:3. The cut-off values of each inflammatory indicator based on the receiver operating characteristic (ROC) curve were determined and each indicator was divided into high and low groups. The least absolute shrinkage and selection operator (LASSO)-Cox regression model was used to analyze the independent risk factors affecting DFS, and a nomogram was established. The model was internally validated using the validation set, and the discrimination, calibration, and clinical application value of the nomogram were evaluated using ROC curve, calibration curve, and clinical decision curve analysis (DCA).

Results

Tumor-node-metastasis (TNM) stage III, neural invasion, preoperative neutrophil-to-lymphocyte ratio (NLR) ≥1.995, postoperative systemic immune-inflammation index (SII) ≥451.05, and Δpan-immune-inflammation value (ΔPIV) ≥144.36 (P<0.05) were independent factors for predicting the 3-year DFS of patients after rectal cancer surgery. The area under the ROC curve (AUC) of the nomogram was 0.811 [95% confidence interval (CI): 0.778-0.889] in the training set and 0.808 (95% CI: 0.785-0.942) in the validation set. The nomogram showed good calibration, indicating good consistency between predicted and actual risks. DCA demonstrated the clinical utility of the nomogram.

Conclusions

The nomogram constructed based on TNM stage III, neural invasion, preoperative NLR ≥1.995, postoperative SII ≥451.05, and ΔPIV ≥144.36 can predict the risk of 3-year DFS in patients undergoing curative surgery for rectal cancer, enabling strict postoperative follow-up and timely adjuvant treatment for high-risk patients.

Should we consider Systemic Inflammatory Response Index (SIRI) as a new diagnostic marker for rectal cancer?

PURPOSE

The Systemic Inflammatory Response Index (SIRI), which depends on peripheral neutrophil, monocyte, and lymphocyte count, was found to be an effective prognostic indicator for various malignancies. In this study, we aimed to investigate the diagnostic value and the prognostic impact of SIRI on rectal cancer patients.

METHOD

The medical records of patients underwent sphincter-sparing rectal cancer surgery at general surgery between 2017 and 2022 were examined retrospectively. Patient demographics, operation types, neoadjuvant chemo/radiotherapies, pathological results, and complications were recorded. A total number of 99 patients who operated with diagnoses other than cancer were conducted as a control group. SIRI was calculated from preoperative peripheral blood samples' neutrophil, lymphocyte, and monocyte count. The optimal cut-off value for SIRI was found to be 1.38. The clinicopathological outcomes and Overall Survival (OS) were analyzed under two groups according to the SIRI values lower or higher than 1.38.

RESULTS

The number of eligible patients was 104. The median age of the entire cohort was 62 (31-89). The median follow-up time was 33 (1-62) months. The median SIRI value in the study group was significantly higher compared with the control group. The study group was examined under two groups: SIRI 1.38 and SIRI > 1.38. The male gender was significantly more frequent in the high SIRI group. The remaining patient demographics and operation types were similar between the groups. The pathological outcomes were similar between the two groups. Overall Survival rate was better in the low SIRI group than those higher. The higher group had significantly higher complication rates than the lower SIRI group (p: 0.004).

CONCLUSION

SIRI may be a valuable diagnostic marker in rectal cancer patients. Higher SIRI levels were also associated with poorer prognosis and increased complication rates. Still, further prospective studies with a larger number of patients are needed.

Role of Traditional Chinese Medicine Syndrome Type, Gut Microbiome, and Host Immunity in Predicting Early and Advanced Stage Colorectal Cancer

OBJECTIVE

To investigate the role of Traditional Chinese Medicine (TCM) syndrome type, gut microbiome distribution, and host immunity function in predicting the early and advanced clinical stages of colorectal cancer (CRC).

METHODS

A cross-sectional case-control study was performed which included 48 early stage and 48 advanced patients with CRC enrolled from March 2018 to December 2020. 16S rRNA gene sequencing was performed to analyze the gut microbiomes of the patients, while T and B lymphocyte subsets in peripheral blood were assessed using flow cytometry. TCM syndrome type was measured using the spleen deficiency syndrome (SDS) scale.

RESULTS

The abundance levels of Prevotella, Escherichia-Shigella, and Faecalibacterium in the gut microbiota were significantly increased in the advanced group, while Bacteroides was significantly decreased. Phascolarctobacterium was detectable only in the early metaphase group, whereas Alistipes was detectable only in the advanced group. The lymphocyte (P = .006), T helper cell (TH) (P = .002), cytotoxic T cell (TC) (P = .003), double positive T cell (DPT) (P = .02), and total T counts (P = .001) were significantly higher in the early metaphase group than in the advanced metaphase group. Compared with patients with early stage CRC, the advanced group had a higher SDS score. After adjusting for clinical stage, Spearman's correlation analysis showed interactions among gut microbiome abundance, T cell level, and SDS score. Multivariate logistic analysis showed that after controlling for the SDS score, abundance of Alistipes and Faecalibacterium, and double negative T cell (DNT) level, DPT was significantly associated with a lower risk of advanced-stage disease (hazard ratio, 0.918; P = .022).

CONCLUSION

Our study suggested associations between clinical stage, SDS, gut microbiota, and T lymphocytes, which provided insights for a potential prediction model for the disease progression of CRC.

The efficient circulating immunoscore predicts prognosis of patients with advanced gastrointestinal cancer

Background

Immunoscore from tumor tissues was initially established to evaluate the prognosis of solid tumor patients. However, the feasibility of circulating immune score (cIS) for the prognosis of advanced gastrointestinal cancers (AGC) has not been reported.

Material and methods

Peripheral venous blood was collected from 64 untreated AGC patients. We utilized flow cytometry to determine several immune cell subpopulations, including CD8⁺ and CD4⁺ T cells, NK cells, and CD4 + CD25 + CD127^low Tregs. The circulating immune score 1 (cIS1) was assessed according to the proportions of CD4⁺, CD8⁺ T cells, and NK cell, whereas circulating immune score 2 (cIS2) was derived from the proportions of CD4⁺, CD8⁺ T cell, and CD4 + CD25 + CD127^low Tregs. The prognostic role of cIS for progression-free survival (PFS) and overall survival (OS) was analyzed using Kaplan–Meier curves and Cox multivariate models. Receiver operating characteristic (ROC) curves were depicted to compare the prognostic values of cIS1 and cIS2.

Results

AGC patients with high cIS1(≥ 2) and cIS2(≥ 2) had significantly longer PFS (cIS1: median PFS, 11 vs. 6.7 months, P = 0.001; cIS2: 12 vs. 5.8 months, P < 0.0001) and OS (cIS1: median OS, 12 vs. 7.9 months, P = 0.0004; cIS2: 12.8 vs. 7.4 months, P < 0.0001) than those with low cIS1 and low cIS2. The areas under ROC curves (AUROCs) of cIS1 and cIS2 for OS were 0.526 (95% confidence interval; 95% CI 0.326–0.726) and 0.603 (95% CI 0.427–0.779, P = 0.332), whereas AUROC of cIS2 for PFS was larger than that of cIS1 0.735 (95% CI 0.609–0.837) vs 0.625 (95% CI 0.495–0.743) (P = 0.04)).

Conclusion

The cIS can be applied to predict the prognosis of untreated AGC patients. Compared with cIS1, cIS2 displayed superior prognostic value for PFS prediction.