The preoperative systemic inflammation response index (SIRI) independently predicts survival in postmenopausal women with breast cancer

Hua, Xin; Long, Zhi‐Qing; Huang, Xin; Deng, Jiapeng; Wen, Wen; He, Zhen-Yu; Guo, Ling; Zhang, Wen; Lin, Huan‐Xin

doi:10.1016/j.currproblcancer.2020.100560

Cited by 45 publications

(59 citation statements)

References 33 publications

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“…The focus of the study was to explore the predictive value of SIRI in high-grade gliomas. Our results were consistent with other retrospective studies exploring the predictive value of SIRI in malignant tumors (13)(14)(15)(24)(25)(26)(27)(28). Our study found that preoperative SIRI was an independent prognostic factor for high-grade glioma.…”

Section: Discussionsupporting

confidence: 92%

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The Prognostic Value of Preoperative Systemic Inflammatory Response Index (SIRI) in Patients With High-Grade Glioma and the Establishment of a Nomogram

Ren

2021

Front. Oncol.

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BackgroundThe predictive value of systemic inflammatory response index (SIRI) was confirmed in some malignant tumors. However, few studies investigated the prognostic value of SIRI in high-grade gliomas. This study aimed to evaluate the prognostic relationship of preoperative SIRI in high-grade gliomas and established a nomogram accordingly.MethodsData of operable high-grade glioma patients were analyzed. Kaplan-Meier, log-rank test, cox regression and propensity score matching (PSM) analysis were used to analyze survival. ROC curve and area under the curve (AUC) were used to compare the ability of preoperative SIRI, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and monocyte-lymphocyte ratio (MLR) to predict prognosis. A nomogram based on the results was established. The consistency index (C-index) was calculated and a calibration curve was drawn.The prediction effect of the nomogram and WHO grade was compared by AUC.ResultsA total of 105 patients were included. Kaplan-Meier survival analysis showed that the overall survival (OS) of grade III gliomas patients with lower preoperative SIRI (SIRI<1.26) was significantly prolonged (p=0.037), and grade IV gliomas patients with lower preoperative SIRI had a tendency to obtain longer OS (p = 0.107). Cox regression showed preoperative SIRI was an independent prognostic factor for grade IV and grade III glioma, however, in IDH mutant-type IV gliomas, patients with lower SIRI only showed a tendency to obtain better OS. Similar results were obtained in PSM. The prognostic value of SIRI were better than PLR and MLR by ROC analysis. And in grade IV gliomas, the predictive value of SIRI was better than NLR. The nomogram established based on preoperative SIRI, age, extent of resection, number of gliomas, MGMT methylation status and histological types (only in grade III gliomas) could predict the prognosis more accurately.ConclusionSIRI was valuable for prognosis prediction in high-grade glioma. The nomogram covering SIRI could more accurately predict the survival rate in operable high-grade glioma patients.

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Section: Discussionsupporting

confidence: 92%

“…It is based on neutrophils, monocytes and lymphocytes, and can more comprehensively evaluate the relationship between anti-tumor immune effects and inflammation. Its predictive value has been confirmed in a variety of malignant tumors (13)(14)(15). However, there were few studies on the prognostic value of SIRI in gliomas.…”

Section: Introductionmentioning

confidence: 95%

The Prognostic Value of Preoperative Systemic Inflammatory Response Index (SIRI) in Patients With High-Grade Glioma and the Establishment of a Nomogram

Ren

2021

Front. Oncol.

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“…Given these results, the researchers proposed that the predictive ability of a high SIRI value was more robust than other accessible inflammation indexes regarding the chemotherapy resistance due to the presence of an exacerbated chronic inflammatory status and/or massive disease burden. Positively confirming this proposal, several consecutive researchers demonstrated statistically meaningful correlations between the high SIRI levels and pathological tumor grade, tumor size, overall TNM stage, lymphatic and vascular invasion status, progesterone receptor status in various cancers [ 28 , 36 , 37 ], and worsened locoregional/distant relapse and survival results [ 28 , 36 – 38 ].…”

Section: Discussionmentioning

confidence: 74%

The Influence of Systemic Inflammation Response Index on Survival Outcomes of Limited-Stage Small-Cell Lung Cancer Patients Treated with Concurrent Chemoradiotherapy

Küçük

Özkan

Oztep

et al. 2020

Journal of Oncology

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Background. Recent studies have indicated that the systemic inflammation response index (SIRI) can efficiently predict survival outcomes in various tumor types. Thusly, in absence of comparable investigations in limited-stage small-cell lung cancers (LS-SCLCs), we aimed to retrospectively evaluate the prognostic utility of SIRI in LS-SCLC patients treated with concurrent chemoradiotherapy (CRT). Patients and Methods. Present multi-institutional retrospective analysis incorporated LS-SCLC patients treated with CRT at three academic radiation oncology centers between January 2007 and December 2018. The SIRI was calculated by using the peripheral blood neutrophil (N), monocyte (M), and lymphocyte (L) counts acquired in the last ≤7 days before the commencement of the CRT: SIRI = N × M/L. Accessibility of pretreatment SIRI cutoff that may stratify the study population into two gatherings with distinctive overall survival (OS) results was evaluated by utilizing the receiver operating characteristic (ROC) curve analysis. Primary objective was the association between the SIRI values and the OS results. Results. Search for the availability of an ideal SIRI cutoff that may stratify the entire patients’ population into two particular groups with distinctive OS outcomes identified the 1.93 value (area under the curve (AUC): 72.9%; sensitivity: 74.6%; specificity: 70.1%): Group 1: SIRI <1.93 (N = 71) and Group 2: SIRI ≥1.93 (N = 110), respectively. At a median follow-up of 17.9 (95% CI: 13.2–22.6) months, 47 (26.0%) patients were still alive (47.9% for SIRI <1.93 versus 18.3% for SIRI ≥1.93; p < 0.001 ). Kaplan–Meier comparisons between the two SIRI groups showed that the SIRI <1.93 cohort had significantly longer median OS (40.5 versus 14.2 months; p < 0.001 ) than the SIRI ≥1.93 cohort. Similarly, the 3- (54% versus 12.6%) and 5-year (33% versus 9.9%) OS rates were also numerically superior in the SIRI <1.93 cohort. Results of the multivariate analyses uncovered that the prognostic significance of the SIRI on OS outcomes was independent of the other confounding variables. Conclusions. The results of this retrospective multi-institutional cohort analysis suggested that a pre-CRT SIRI was a strong and independent prognostic biomarker that reliably stratified LS-SCLC patients into two cohorts with significantly different OS outcomes.

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“…23 Another norm, systemic inflammation response index (SIRI), was considered to a reliable predictor of OS to provide personalized prognostication for breast cancer patients. 24 But there is still a lot of room for us to find indicators that are simpler and easier to practice clinically.…”

Section: Discussionmentioning

confidence: 99%

<p>The Prognostic Value of Combination of Plasma Fibrinogen and CA19-9 in Non-Distant Metastatic Breast Cancer Patients Undergoing Surgery</p>

Zheng

Quan

et al. 2020

CMAR

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Purpose: This article aimed to study the prognostic value of preoperative plasma fibrinogen and CA19-9 in non-distant metastatic breast cancer (BC). Patients and Methods: A total of 343 non-distant metastatic BC patients were included in this study. The optimal cutoff values of plasma fibrinogen and CA19-9 were obtained by receiver operating characteristic (ROC) curve analysis. Univariate and multivariate Cox regression analyses were used to evaluate prognostic factors for overall survival (OS). Survival data were assessed using Kaplan-Meier survival analysis with the Log-rank test. Based on the cutoff values, we classified the fibrinogen-CA19-9 score as follows: 2 (both hyperfibrinogenemia and high CA19-9), 1 (either hyperfibrinogenemia or high CA19-9), and 0 (neither hypefibrinogenemia nor high CA19-9). Results: Our follow-up time totaled 10 years, the median follow-up time was 77 months (range=2-119 months), and 82 (23.9%) of 343 patients died during the follow-up period. The optimal cutoff values of plasma fibrinogen and CA19-9 were 2.805 g/L and 11.85 U/mL, respectively. The multivariate Cox analysis results suggested that there was a significant association between worse OS and elevated preoperative plasma fibrinogen and CA19-9 levels (HR=2.016, 95% CI=1.216-3.342, P=0.007; and HR=2.042, 95% CI=1.282-3.253, P=0.003). The area under the ROC curve (AUC) increased from 0.589 (for plasma fibrinogen) and 0.594 (for CA19-9) to 0.640 when these two parameters were combined. When we added this combined factor to the multivariate analysis, it was an independent prognostic factor for BC (P<0.001). According to the above results, we chose four prognostic factors to construct our nomogram. The AUC was 0.724, which indicates that the nomogram performs well. Conclusion: The combination of plasma fibrinogen and CA19-9 could be used as a valid independent prognostic factor for non-distant metastatic BC compared with either parameter alone and could easily be applied in clinical practice.

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The preoperative systemic inflammation response index (SIRI) independently predicts survival in postmenopausal women with breast cancer

Cited by 45 publications

References 33 publications

The Prognostic Value of Preoperative Systemic Inflammatory Response Index (SIRI) in Patients With High-Grade Glioma and the Establishment of a Nomogram

The Prognostic Value of Preoperative Systemic Inflammatory Response Index (SIRI) in Patients With High-Grade Glioma and the Establishment of a Nomogram

The Influence of Systemic Inflammation Response Index on Survival Outcomes of Limited-Stage Small-Cell Lung Cancer Patients Treated with Concurrent Chemoradiotherapy

<p>The Prognostic Value of Combination of Plasma Fibrinogen and CA19-9 in Non-Distant Metastatic Breast Cancer Patients Undergoing Surgery</p>

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