Prognostic role of preoperative inflammatory markers in postoperative patients with colorectal cancer

Xiao, Zilong; Wang, Xinxin; Chen, Xiaoxiao; Zhu, Hai‐Tao; Zhang, Jiangnan; Deng, Wensheng

doi:10.3389/fonc.2023.1064343

Cited by 7 publications

(4 citation statements)

References 32 publications

(38 reference statements)

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“…To more accurately evaluate the impact of combined SII on survival time, we considered other potential factors that may affect survival time. By reviewing relevant literature ( 16 ), we identified the following 11 covariates: age, gender, postoperative adjuvant treatment, tumor location, tumor size, differentiation degree, presence of vascular and neural invasion, TNM stage, carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9).…”

Section: Methodsmentioning

confidence: 99%

Prognostic value of preoperative combined with postoperative systemic immune-inflammation index for disease-free survival after radical rectal cancer surgery: a retrospective cohort study

Sun,

Yang,

et al. 2024

Transl Cancer Res

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Background Colorectal cancer (CRC) ranks highly in malignant tumor incidence and mortality rates, severely affecting human health. The predictive value of the systemic immune-inflammation index (SII) in CRC prognosis is gaining attention, but there is limited research on the combined preoperative and postoperative SII. This study aims to explore the prognostic value of combined SII on disease-free survival (DFS) in patients undergoing radical surgery for rectal cancer. Methods We enrolled 292 patients with rectal cancer who underwent radical resection at the Affiliated Hospital of Xuzhou Medical University from May 2018 to September 2020, along with regular follow-ups to document the DFS. Patients’ complete blood cell counts were assessed before surgery and between 21–56 days postoperatively. Calculating preoperative and postoperative SII, patients were categorized into four groups based on the optimal cutoff values: (I) low-low group (preoperative SII <449.325 and postoperative SII <568.13); (II) high-low group (preoperative SII ≥449.325 and postoperative SII <568.13); (III) low-high group (preoperative SII <449.325 and postoperative SII ≥568.13); and (IV) high-high group (preoperative SII ≥449.325 and postoperative SII ≥568.13). The receiver operating characteristic (ROC) curve analysis evaluated the prediction efficacy of preoperative, postoperative, and combined SII. Kaplan-Meier analysis generated DFS curves, and Cox regression analysis determined prognostic factors. Results With a median follow-up of 41 months, 65.4% (191/292) patients reached DFS. The clinical pathological features between the four groups are balanced and comparable (P>0.05). The area under the ROC curve for preoperative, postoperative, and combined SII was 0.668 [95% confidence interval (CI): 0.6–0.737], 0.696 (95%CI: 0.63–0.763), and 0.741 (95% CI: 0.681–0.802), respectively. After adjusting for confounding factors such as adjuvant therapy, differentiation, vascular invasion, neural invasion, tumor-node-metastasis (TNM) stage, carcinoembryonic antigen (CEA), and carbohydrate antigen 19-9 (CA19-9), significant differences were observed between the high-low group [hazard ratio (HR) =2.403; 95% CI: 1.255–4.602; P=0.008], low-high group (HR =5.058; 95% CI: 2.389–10.71; P<0.001), and high-high group (HR =6.214; 95% CI: 3.474–11.115; P<0.001) compared to the low-low group, with higher risks of adverse outcomes. Conclusions Combined SII has better predictive efficacy than monitoring preoperative or postoperative SII alone in rectal cancer patients undergoing radical surgery.

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Section: Methodsmentioning

confidence: 99%

Prognostic value of preoperative combined with postoperative systemic immune-inflammation index for disease-free survival after radical rectal cancer surgery: a retrospective cohort study

Sun,

Yang,

et al. 2024

Transl Cancer Res

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“…Research evidence has shown significant associations between NLR, NMLR, PLR, SIRI, and SII and the prognosis of patients with cancer, and the parameters exhibited good predictive value. 10,35,36 MLR, PLR, and NLR are effective indicators for assessing CVD risk and predicting mortality. [37][38][39] Moreover, SIRI and SII are associated with the risk of acute coronary syndrome (ACS) in patients with chest pain.…”

Section: Dovepressmentioning

confidence: 99%

Association of Complete Blood Cell Count-Derived Inflammatory Biomarkers with Psoriasis and Mortality

Zhao,

Yang,

Bai

et al. 2023

CCID

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Background and Aim: Psoriasis is a persistent inflammatory disorder that affects 3% of the population and is associated with cardiovascular diseases. Therefore, this study aimed to investigate the correlations between complete blood cell count (CBC)-derived inflammatory biomarkers, psoriasis prevalence, and all-cause mortality. Methods: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) spanning 2003-2006 and 2009-2014. Mortality data up to December 31, 2019 were obtained using the National Death Index. The following CBC-derived inflammatory biomarkers were examined: neutrophil/lymphocyte ratio (NLR), neutrophil/(white blood cells ˗ neutrophils) ratio (dNLR), monocyte count/lymphocyte ratio (MLR), (neutrophil + monocyte)/lymphocyte ratio (NMLR), platelet/lymphocyte ratio (PLR), and systemic inflammatory response index (SIRI). Weighted logistic and Cox regression analyses were used to calculate odds ratios, hazard ratios, and the corresponding 95% confidence intervals. Additionally, the prognostic value of the inflammatory indicators was assessed and ranked using the random survival forest approach. Results: In total, data from 21,431 participants with average age of 45.02 ± 0.27 years (49.51% male) were included in the study, among which 600 participants were positive for psoriasis (prevalence rate, 2.80%). Additionally, 79 all-cause deaths were recorded during a median follow-up period of 8.83 (6.67-11.00) years. Moreover, NLR, dNLR, NMLR, PLR, and SIRI were positively associated with the prevalence of psoriasis. Furthermore, MLR, NMLR, and SIRI were positively correlated with all-cause mortality in patients with psoriasis, with NMLR being the most valuable predictor of all-cause mortality. Conclusion: CBC-derived inflammatory biomarkers were associated with psoriasis prevalence, NMLR, SIRI, and MLR values were associated with all-cause mortality in patients with psoriasis. Overall, assessment of these CBC-derived indicators may serve as a simple method for screening high-risk individuals among patients with psoriasis.

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“…Complete blood count-based biomarkers have been shown to correlate well with clinical outcomes in numerous chronic [ 5 , 6 , 7 , 8 , 9 , 10 ], infectious [ 11 , 12 , 13 , 14 , 15 ], and surgical conditions [ 16 , 17 , 18 , 19 , 20 ], as well as in cancer [ 21 , 22 , 23 , 24 , 25 , 26 ]. In particular, the potential role of the red cell distribution width (RDW), a biomarker of the heterogeneity of red blood cells’ size, in predicting adverse events and survival currently represents a topic of intense research in numerous clinical conditions [ 27 , 28 ], including malignancies such as colorectal cancer [ 29 , 30 , 31 ], esophageal cancer [ 32 , 33 ], lung cancer [ 34 , 35 ], breast cancer [ 36 , 37 ], and other malignancies [ 38 , 39 , 40 , 41 , 42 ].…”

Section: Introductionmentioning

confidence: 99%

Red Cell Distribution Width as a Predictor of Survival in Patients with Hepatocellular Carcinoma

Vidili,

Zinellu,

Mangoni

et al. 2024

Medicina

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Background and Objectives. Hepatocellular carcinoma (HCC) and the intrahepatic biliary tract cancers are estimated to rank sixth for incidence among solid cancers worldwide, and third for mortality rates. A critical issue remains the need for accurate biomarkers for risk stratification and overall prognosis. The aim of this study was to investigate the ability of a biomarker of heterogeneity of the size of red blood cells, the red cell distribution width (RDW), to predict survival in patients with HCC. Materials and Methods. A consecutive series of patients with a histologic diagnosis of HCC were included into this study irrespective of their age, stage of the disease, and treatment administered, and followed-up for a period of three years. Demographic, anthropometric [age, sex, body mass index (BMI)], and clinical data (Charlson Comorbidity Index, Child–Pugh score, etc.), along with laboratory tests were retrieved from clinical records. Results. One-hundred and four patients were included in this study. Among them, 54 (69%) were deceased at the end of the follow-up. Higher RDW values, but not other hematological and biochemical parameters, were significantly associated with mortality in both univariate and multivariate analysis. The optimal RDW cut-off value identified with the Youden test for survival was 14.7%, with 65% sensitivity and 74% specificity (AUC = 0.718, 95% CI 0.622–0.802, p < 0.001). Kaplan–Meier survival curves showed significantly lower survival with higher RDW values (HR = 3.5204; 95% CI 1.9680–6.2975, p < 0.0001) with a mean survival of 30.9 ± 9.67 months for patients with RDW ≤ 14.7% and 22.3 ± 11.4 months for patients with RDW > 14.7%. Conclusions. The results of our study showed that RDW can perform better than other blood-based biomarkers in independently predicting prognosis in patients with HCC.

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Prognostic role of preoperative inflammatory markers in postoperative patients with colorectal cancer

Cited by 7 publications

References 32 publications

Prognostic value of preoperative combined with postoperative systemic immune-inflammation index for disease-free survival after radical rectal cancer surgery: a retrospective cohort study

Prognostic value of preoperative combined with postoperative systemic immune-inflammation index for disease-free survival after radical rectal cancer surgery: a retrospective cohort study

Association of Complete Blood Cell Count-Derived Inflammatory Biomarkers with Psoriasis and Mortality

Red Cell Distribution Width as a Predictor of Survival in Patients with Hepatocellular Carcinoma

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