Prognostic value of the systemic inflammation response index (SIRI) before and after surgery in operable breast cancer patients

Wang, Lei; Zhou, Ying; Xia, Shunren; Lu, Linlin; Dai, Tiantian; Li, Aoshuang; Chen, Yan; Gao, Er-li

doi:10.3233/cbm-201682

Cited by 34 publications

(25 citation statements)

References 30 publications

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“…The CBCs consist of platelets, neutrophils, lymphocytes, monocytes, etc., and there is now increasing evidences that CBCs can be used to predict outcomes of cancers. The combined CBCs of the above variables, such as NLR ( 18 ), PLR ( 19 , 20 ), SII ( 21 , 22 ), and SIRI ( 23 ), have been reported to be useful prognostic indicators in some cancers. Furthermore, because blood cells are routinely counted, related data is easy to access, which makes CBCs promising candidates for prognostic indicators in cancers.…”

Section: Discussionmentioning

confidence: 99%

Complete Blood Count Score Model Predicts Inferior Prognosis in Primary Central Nervous System Lymphoma

et al. 2021

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BackgroundPrimary central nervous system lymphoma (PCNSL), an aggressive type of non-Hodgkin lymphoma, has a poor prognosis. Currently available prognostic scoring systems are inadequate. We therefore aimed to investigate the predictive values of complete blood counts (CBCs) in PCNSL.Materials and MethodsThe cohort of this retrospective study comprised 73 PCNSL patients. The predictive values of selected CBCs, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI), were analyzed.ResultsAges and Memorial Sloan Kettering Cancer Center (MSKCC) scores of PCNSL patients correlated with NLR, PLR, and SII values (p <0.05). Both age and MSKCC scores correlated with inferior progression-free survival (PFS) and overall survival (OS) (p <0.05). High NLR, PLR, SII, and SIRI were significant predictors of shorter PFS and OS (p <0.05). NLR, PLR, SII, and SIRI were integrated to generate a “CBC score” model that accurately stratified PCNSL patients into three risk groups. The median PFS for low-risk, intermediate-risk, and high-risk groups were 24 ((12.458–35.542), 17 (10.626–23.374), and 9 (8.893–19.107) months, respectively (p = 0.011), and the median OS were 33 (19.175–46.825), 18 (16.368–19.632), and 9 (6.521–11.479) months, respectively (p = 0.008). Multivariate Cox regression model showed that MSKCC score (hazard ratio (HR) = 3.791, p <0.001), PLR (HR = 1.003, p = 0.013), and CBC score (HR = 1.873, p = 0.011) were independent predictors for PFS, whereas MSKCC score (HR = 4.128, p <0.001), PLR (HR = 1.003, p = 0.005), and CBC score (HR = 1.907, p = 0.004) were independent predictors for OS.ConclusionThe CBC score model may be a promising predictive system for PCNSL patients.

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Section: Discussionmentioning

confidence: 99%

Complete Blood Count Score Model Predicts Inferior Prognosis in Primary Central Nervous System Lymphoma

et al. 2021

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“…From the 37 remaining studies, 30 were included after reading the full texts. [13][14][15][17][18][19][20][21][23][24][25][26][27][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46] The reasons for exclusion were as follows: one did not report information on OS/DFS/RFS/PFS or clinicopathological data; one was a duplicate report; and five had insufficient data for a quantitative analysis (Figure 1).…”

Section: Study Selectionmentioning

confidence: 99%

Systemic Inflammation Response Index as a Prognostic Marker in Cancer Patients: A Systematic Review and Meta-Analysis of 38 Cohorts

Zhou

You

et al. 2021

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Background The systemic inflammation response index (SIRI), a novel and cost-effective serum biomarker, is associated with prognosis in patients with cancer. However, the prognostic value of the SIRI in cancer remains unclear. This study aimed to evaluate the potential role of the SIRI as a prognostic indicator in cancer. Methods Reports in which the prognostic value of the SIRI in cancer was evaluated were retrieved from electronic databases. The pooled hazard ratio (HR) and 95% confidence interval (CI) were calculated to evaluate the prognostic significance of the SIRI. The odds ratio (OR) was also calculated to explore the association between the SIRI and clinicopathological features. Results This study included 30 retrospective studies with 38 cohorts and 10 754 cases. The meta-analysis indicated that a high SIRI was associated with short overall survival (OS) (HR = 2.04, 95% CI = 1.82–2.29, P < .001) and disease-free survival (DFS)/recurrence-free survival (RFS)/progression-free survival (PFS) (HR = 2.08, 95% CI = 1.84–2.34, P < .001). Subgroup analysis showed that the prognostic value of the SIRI was significant in all kinds of cancer included. Moreover, the SIRI was significantly correlated with sex, tumor size, T stage, N stage, TNM stage, and lymphovascular invasion. Conclusion The pretreatment SIRI could be a promising universal prognostic indicator in cancer.

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“…23 Inflammatory immune parameters, such as SIRI, SII and C-reactive protein, were used to judge the prognosis of a variety of tumors. [24][25][26] In recent years, FAR has been proved to be related to prognosis in a variety of malignant tumors. 27,28 Therefore, it is necessary to make a profound study on FAR for the clinical prognosis of TNBC.…”

Section: Discussionmentioning

confidence: 99%

Fibrinogen/Albumin Ratio (FAR) in Patients with Triple Negative Breast Cancer and Its Relationship with Epidermal Growth Factor Receptor Expression

Gao¹,

Li²,

Zhang³

2021

OTT

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Objective: To investigate the potential prognostic significance of fibrinogen/albumin ratio (FAR) in triple negative breast cancer (TNBC) patients and its relationship with epidermal growth factor receptor (EGFR) expression. Methods: There were 164 patients with TNBC enrolled in this study in our hospital from January 2010 to December 2015. The optimal cutoff value of FAR was evaluated by the receiver operating characteristic curve (ROC). The associations between TNBC and clinicopathological variables by FAR were performed by Chi-square test. Kaplan-Meier method and Log rank test were used for survival analysis. The independent prognostic factors were determined by univariate and multivariate Cox's proportional hazards regression model. The EGFR expression was analyzed by the immunohistochemistry assay. Results: One hundred and sixty-four TNBC patients were divided into: low FAR group (FAR < 0.08) and high FAR group (FAR ≥ 0.08) by ROC. The preoperative FAR was associated to BMI, menopause, red blood cell, albumin, fibrinogen (P < 0.05). FAR was an independent prognostic factor for TNBC. In low FAR group, the mean disease-free survival (DFS) and overall survival (OS) were 33.62 months and 52.99 months; in high FAR group, the mean DFS and OS were 30.18 months and 48.27 months, respectively. The DFS and OS survival curve were performed by Log rank assay and were statistically significant (P < 0.05). The mean DFS and OS after operation in patients with EGFR negative expression were longer than that in patients with EGFR positive expression. In EGFR positive group, the mean DFS and OS of low FAR group were higher than that of high FAR group, and the difference was statistically significant (P < 0.05). Conclusion: Pretreatment FAR is the independent prognostic factor in TNBC, and with low cost, strong repeatability, and high safety. It can be acted as an effective indicator to predict the prognosis of TNBC.

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Prognostic value of the systemic inflammation response index (SIRI) before and after surgery in operable breast cancer patients

Cited by 34 publications

References 30 publications

Complete Blood Count Score Model Predicts Inferior Prognosis in Primary Central Nervous System Lymphoma

Complete Blood Count Score Model Predicts Inferior Prognosis in Primary Central Nervous System Lymphoma

Systemic Inflammation Response Index as a Prognostic Marker in Cancer Patients: A Systematic Review and Meta-Analysis of 38 Cohorts

Fibrinogen/Albumin Ratio (FAR) in Patients with Triple Negative Breast Cancer and Its Relationship with Epidermal Growth Factor Receptor Expression

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