Systemic inflammation response index (SIRI) as a predictive factor for overall survival in advanced soft tissue sarcoma treated with eribulin

Kobayashi, Hiroshi; Okuma, Tomotake; Okajima, Koichi; Ishibashi, Yutaka; Zhang, Liuzhe; Ohki, Takahiro; Ikegami, Masachika; Sawada, Renshi; Shinoda, Yusuke; Akiyama, Takahiro; Goto, Takahiro; Tanaka, Sakae

doi:10.1016/j.jos.2020.11.006

Cited by 8 publications

(13 citation statements)

References 35 publications

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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

Dose-Response

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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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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

Dose-Response

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“…Even though inflammatory activation secondary to the off-pump procedure is limited, these reactions still play a crucial role as long-term mortality predictors [ 78 ]. We found that SIRI was a significant predictor [ 79 ], especially when we integrated data from preoperative factors.…”

Section: Discussionmentioning

confidence: 99%

Neutrophil Counts, Neutrophil-to-Lymphocyte Ratio, and Systemic Inflammatory Response Index (SIRI) Predict Mortality after Off-Pump Coronary Artery Bypass Surgery

Urbanowicz

Michalak

Olasińska-Wiśniewska

et al. 2022

Cells

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Background: Several perioperative inflammatory markers are postulated to be significant factors for long-term survival after off-pump coronary artery bypass surgery (OPCAB). Hematological parameters, whether single or combined as indices, provide higher predictive values. Methods: The study group comprised 538 consecutive patients (125 (23%) females and 413 (77%) males) with a mean age of 65 +/− 9 years, who underwent OPCAB with a mean follow-up time of 4.7 +/− 1.7 years. This single-center retrospective analysis included perioperative inflammatory markers such as the neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory response index (SIRI), aggregate index of systemic inflammation (AISI), and systemic inflammatory index (SII). Results: Multivariable analysis identified levels of neutrophils above 4.3 × 109/L (HR 13.44, 95% CI 1.05–3.68, p = 0.037), values of SIRI above 5.4 (HR 0.29, 95% CI 0.09–0.92, p = 0.036) and values of NLR above 3.5 (HR 2.21, 95% CI 1.48–3.32, p < 0.001) as being significant predictors of long-term mortality. The multifactorial models revealed the possibility of strong prediction by combining preoperative factors (COPD, stroke, PAD, and preoperative PLR) and postoperative neutrophil counts (p = 0.0136) or NLR (p = 0.0136) or SIRI (p = 0.0136). Conclusions: Among the postoperative inflammatory indices, the levels of neutrophils, NLR, and SIRI are the most prominent markers for long-term survival after off-pump coronary artery bypass surgery, when combined with preoperative characteristics.

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“…The albumin-globulin ratio (AGR), NLR, PLR, LMR, SII and prognostic nutritional index (PNI) were calculated using the following formulas [14][15][16][17][18]: AGR=albumin/total protein; NLR=neutrophil count/lymphocyte count; PLR=platelet count/lymphocyte count; LMR=monocyte count/lymphocyte count; SII=platelet count × neutrophil count/lymphocyte count; PNI=10 × albumin + 0.005 × lymphocyte count. Body mass index (BMI) = weight (kg)/height (m)^2.…”

Section: Data Collectionmentioning

confidence: 99%

“…Tumor-related in ammatory factors play an important role in tumor progression and prognosis and affect the immune microenvironment [11][12][13]. Tumor-related hematological in ammatory biomarkers, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR) and systemic immune-in ammation index (SII), have been reported as prognostic predictors for STS [14][15][16][17][18]. The systemic in ammatory-nutritional score (INS), a novel scoring system, is related to tumor occurrence, progression, and prognosis [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

A novel systemic inflammatory-nutritional score (INS) and nomogram for the prognostic prediction of adult head and neck soft tissue sarcoma in patients undergoing R0 surgery

Qiu

et al. 2022

Preprint

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Background Head and neck soft tissue sarcoma (HNSTS) comprises a rare group of malignancies with high risks of recurrence and mortality. However, the biomarkers predicting the prognosis of HNSTS patients received R0 resection are limited. Here, we aimed to develop a novel inflammatory-nutritional score (INS) system and a nomogram to explore the prognostic value of preoperative biomarkers in HNSTS patients. Methods With a median follow-up time of 134.6 months, 315 patients with HNSTS who underwent R0 resection were enrolled. Clinical characteristics and hematological features were collected. The least absolute shrinkage and selection operator Cox regression model was used to select the most significant survival‑associated candidate for constructing the INS. The relationship between the INS groups and clinical features was analyzed. Further, a nomogram based on the INS and clinical features was generated by multivariate Cox analysis, assessed by the concordance index and internally validated by bootstraps. Results The five-year overall survival (OS) rate, three-year recurrence-free survival rate and disease-free survival (DFS) rate were 77.3%, 61.0% and 55.4%, respectively. After scoring, the novel INS system was established and divided into 3 groups: Low Risk (INS 0), Medium Risk (INS 1–3) and High Risk (INS 4–7). High INSs were associated with a deep tumor location (p < 0.001), high tumor grade (p < 0.001), and advanced American Joint Committee on Cancer stage (p < 0.001). The Low-Risk group exhibited a higher 5-year OS rate and 3-year DFS rate than the Medium-Risk and High-Risk groups (87.6% versus 81.3%% versus 53.3%, p < 0.001; 62.2% versus 56.9% versus 37.9%, p = 0.007). Moreover, the multivariate analysis demonstrated that the INS (p = 0.023), tumor depth (p < 0.001), pT stage (p = 0.022), pN stage (p < 0.001) and tumor grade (p < 0.001) were independent survival predictors for HNSTS patients. Based on these results, a novel prognostic nomogram for OS was generated, which showed a better performance than the p7TNMG stage alone (p < 0.001). Conclusions Our findings suggest that oncological outcomes among HNSTS patients who underwent R0 resection can be accurately predicted using the INS, therefore, an INS-based specific nomogram provides reliable, individualized prognostic information for patients with HNSTS to guide treatment strategies in clinical practice.

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Systemic inflammation response index (SIRI) as a predictive factor for overall survival in advanced soft tissue sarcoma treated with eribulin

Cited by 8 publications

References 35 publications

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

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

Neutrophil Counts, Neutrophil-to-Lymphocyte Ratio, and Systemic Inflammatory Response Index (SIRI) Predict Mortality after Off-Pump Coronary Artery Bypass Surgery

A novel systemic inflammatory-nutritional score (INS) and nomogram for the prognostic prediction of adult head and neck soft tissue sarcoma in patients undergoing R0 surgery

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