Increased systemic immune-inflammation index independently predicts poor survival for hormone receptor-negative, HER2-positive breast cancer patients

Development of a reliable cell-based reporter gene assay to measure the bioactivity of anti-HER2 therapeutic antibodies

Human epidermal growth factor receptor 2 (HER2) is a key player in the pathogenesis and progression of breast cancer and is currently a primary target for breast cancer immunotherapy. Bioactivity determination is necessary to guarantee the safety and efficacy of therapeutic antibodies targeting HER2. Nevertheless, currently available bioassays for measuring the bioactivity of anti-HER2 mAbs are either not representative or have high variability. Here, we established a reliable reporter gene assay (RGA) based on T47D-SRE-Luc cell line that expresses endogenous HER2 and luciferase controlled by serum response element (SRE) to measure the bioactivity of anti-HER2 antibodies. Neuregulin-1 (NRG-1) can lead to the heterodimerization of HER2 on the cell membrane and induce the expression of downstream SRE-controlled luciferase, while pertuzumab can dose-dependently reverse the reaction, resulting in a good dose-response curve reflecting the activity of the antibody. After optimizing the relevant assay parameters, the established RGA was fully validated based on ICH-Q2 (R1), which demonstrated that the method had excellent specificity, accuracy, precision, linearity, and stability. In summary, this robust and innovative bioactivity determination assay can be applied in the development and screening, release control, biosimilar assessment and stability studies of anti-HER2 mAbs.

Evaluation of Ocular Surface Parameters and Systemic Inflammatory Biomarkers in Hazelnut Harvesters

AIM

To assess the relationship between systemic inflammation markers and ocular surface parameters in hazelnut harvesters.

MATERIAL AND METHOD

This prospective study included 30 patients presenting with moderate ocular surface diseases during the hazelnut harvesting season. A detailed ophthalmological examination was performed during the harvesting season and the first month after the end of treatment (control). Schirmer test, tear break-up time (TBUT), and ocular surface disease index (OSDI) scores were determined. In complete blood count analysis, in addition to the evaluation of inflammatory cells, the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were calculated.

RESULTS

Eosinophil percentage had a high level of negative correlation with the TBUT and Schirmer values and a high level of positive correlation with the OSDI score during the hazelnut picking season (r = -0.727, r = -0.735, r = 0.750, respectively). During the hazelnut harvesting season, the NLR and SII parameters had a moderate level of negative correlation with the TBUT (r = -0.29 and r = -0.276) and Schirmer (r = -0.33 and r = -0.298) values and a moderate level of positive correlation with the OSDI score (r = 0.389 and r = 0.264).

CONCLUSION

In hazelnut harvesters, ocular allergy and inflammation may be associated with systemic biomarkers.

Systemic immune-inflammation index as a prognostic marker in HER2-positive breast cancer patients undergoing trastuzumab therapy

The prognostic value of SII (Systemic Immune-Inflammation Index) in HER-2-positive breast cancer (BC) patients, regardless of whether they receive trastuzumab treatment, and its potential value to distinguish patients who may benefit from trastuzumab therapy, warrant further investigation. Clinical data was collected from 797 HER-2-positive BC patients between July 2013 and March 2018. Baseline data differences were adjusted with propensity score matching. Univariate and multivariate analyses explored the correlation between clinical pathological factors, SII, and DFS. Four groups were established. Based on the baseline SII values of the participants, patients who did not receive trastuzumab treatment were divided into Group 1 (Low-SII) and Group 2 (High-SII), where SII had no predictive value for prognosis between groups. Participants who received trastuzumab treatment were also divided into two groups: the Low-SII group (Group 3) and the High-SII group (Group 4). The 5-year DFS was significantly higher in Group 3 than in Group 4 (91.76% vs. 82.76%, P = 0.017). Furthermore, multivariate analysis demonstrated a significant association between high SII and shorter DFS (HR = 3.430, 95% CI = 1.830-6.420, P < 0.001). In HER-2-positive BC patients treated with trastuzumab, those with lower SII showed a longer DFS, suggesting that SII may help in identifying patients who benefit from trastuzumab therapy.

Relationship between the systemic immune-inflammatory index and the severity of acute bronchiolitis in children

OBJECTIVE

Acute bronchiolitis (AB) is one of the most common respiratory diseases in early childhood and is still an important health problem worldwide. The systemic immune-inflammatory index (SII) is thought to have potential to be a new-generation inflammatory biomarker. We sought to investigate the value of SII for severity assessment in children with AB.

METHODS

A total of 74 AB patients were included in a prospective observational study. Patients were classified into 3 AB groups according to this classification: mild (1-5 points), moderate (6-10 points), and severe (11-12 points). Complete blood count, C-reactive protein, and procalcitonin tests were carried out. Modified Tal score was evaluated to determine severity. The performance of parameters to predict the severity of AB was assessed using the receiver operating characteristic (ROC).

RESULTS

Whereas neutrophil count (P = .037), neutrophil-to-lymphocyte ratio (P = .030), and SII (P = .030) values increased significantly with disease severity, red cell distribution width (P = .048) values were higher in the moderate AB group. The SII was found to have the highest area under the curve in the comparison of the mild-moderate groups combination and the high group on ROC analysis (P = .009).

CONCLUSION

The SII values of pediatric patients hospitalized with the diagnosis of AB were significantly higher in the high-severity group. The SII may offer additional severity stratification in children with AB.

Preoperative Systemic Immune-Inflammatory Index as a Predictive Biomarker for Lower Extremity Deep Vein Thrombosis after Breast Cancer Surgery: Stratified Nursing Intervention to Reduce Incidence

BACKGROUND Lower extremity deep vein thrombosis (LEDVT), a common postoperative breast cancer complication, depends on multiple factors, such as systemic inflammation and immune status. We assessed the preoperative systemic immune-inflammatory index (SII) as a LEDVT risk predictor and did stratified nursing intervention based on it. MATERIAL AND METHODS A retrospective analysis was conducted on 552 patients who underwent breast cancer surgery from January 2019 to May 2020. Univariate and multivariate methods were used to screen independent risk factors for postoperative LEDVT, and effects of risk stratification and nursing intervention on the validation cohort were observed. RESULTS A total of 46 patients (8.3%) developed postoperative LEDVT. Compared with the control group, the LEDVT group had older age, higher proportion of menopause, higher preoperative Autar score, SII, and plasma D-dimer level, lower albumin level, and later postoperative pathological stage, with statistically significant differences (P<0.05). Multivariate logistic regression showed SII, plasma D-dimer, and menopause were independent predictors of postoperative LEDVT. ROC curve analysis showed SII had the strongest predictive ability, with an AUC of 0.714. Subsequently, 126 patients in the validation set were stratified according to the preoperative SII score, and intensified nursing intervention was implemented for high-risk patients, resulting in a significant reduction in the incidence of LEDVT (3.3% vs 8.3%, P=0.046). CONCLUSIONS Preoperative SII level can be used as an independent risk predictor of postoperative LEDVT in breast cancer patients. Applying it for risk stratification and implementing intensified nursing intervention for high-risk patients can significantly reduce the incidence of postoperative LEDVT.

Systemic inflammatory indices for predicting prognosis of myelofibrosis

The impact of inflammatory markers such as systemic immune-inflammation (SII) index and systemic inflammation response index (SIRI) on myelofibrosis (MF) prognosis was evaluated for the first time in this study. Data from 60 patients diagnosed with MF between March 2011 and September 2022 were retrospectively analyzed. In addition to disease-related markers, the impact of SII and SIRI on prognosis was evaluated. In our study, the overall median survival (OS) was 64 months. OS was significantly shorter in patients older than 65 years, with high ferritin and lymphocyte levels, transfusion dependence at diagnosis, platelet count below 100 × 109/L, Hb level below 8 g/dl, and high risk according to the dynamic international prognostic scoring system (DIPSS)-Plus score. When these variables were included in the multivariate Cox regression model, it was found that being older than 65 years, having a high ferritin value, being at high risk according to the DIPSS-plus score and Hb values below 8 increased the risk of death. Platelet-to-lymphocyte ratio (PLR) and SII index were lower in patients with a fatal outcome. No statistically significant relationship was found between SIRI and mortality. The findings of this study showed that low PLR and high ferritin were associated with poor prognosis in MF. Elevated SII and SIRI, evaluated for the first time in patients with myelofibrosis, did not predict prognosis. Since non-inflammatory variables play a role in the pathogenesis of MF, bone marrow indicators and systemic inflammation indicators derived from hematologic parameters may not be accurate.

Systemic immuno-inflammatory index in patients with pseudoexfoliation syndrome and pseudoexfoliative glaucoma

Background

In recent years, the role of some hematological parameters used as chronic inflammation markers in the pathogenesis of many ocular and systemic diseases has been investigated. For ocular diseases such as uveitis, keratoconus, and retinal vein occlusion, the neutrophil/lymphocyte ratio (NLR) and systemic immune-inflammatory index (SII) have been reported to be useful inflammatory biomarkers. It has also been reported that low-grade chronic inflammation plays a role in the formation of pseudoexfoliation.

Objective

To evaluate the NLR, SII, and platelet-lymphocyte ratio (PLR) in patients with pseudoexfoliation syndrome (PEXS) and pseudoexfoliative glaucoma (PEXG).

Design

This was a retrospective case-control study.

Methods

This study evaluated the clinical and laboratory data of 34 patients with PEXS, 33 patients with PEXG, and 33 control patients. Detailed eye examination notes in patient files and blood count measurements were recorded.

Results

SII values were the highest in the PEXS group, followed by the PEXG and control groups (582.01 ± 339.9, 478.14 ± 211.7, and 413.98 ± 129.5, respectively) (p = 0.043). In paired comparisons, the SII values of the PEXS group were significantly higher than the control group (p = 0.011). The mean NLR rate was highest in the PEXS group, followed by the PEXG and the control groups (2.46 ± 1.6, 2.17 ± 0.8, and 1.69 ± 0.4, respectively) (p = 0.023). In paired comparisons, the mean NLR levels were higher in the PEXS and the PEXG groups than in the control group (p = 0.03 and p = 0.01, respectively). There was no significant difference between the groups in terms of PLR. According to receiver operating characteristic curve analysis, the optimal cut-off value for estimating PEXS was found as >449.4 for SII and 1.78 for NLR (p = 0.011 and p = 0.031, respectively).

Conclusions

In PEXS patients, both SII and NLR were significantly higher, albeit in a small group of patients, and SII may be a helpful and supportive parameter for NLR in risk estimation in these patients. There was a statistically significant difference only in NLR in patients with PEXG when compared with the control group. However, these results need to be supported by future longitudinal and larger studies to identify any possible link between hematological inflammatory markers and pseudoexfoliation.

Prognostic role of preoperative circulating systemic inflammatory response markers in primary breast cancer: meta-analysis

BACKGROUND

Circulating markers of the systemic inflammatory response are prognostic in several cancers, but their role in operable breast cancer is unclear. A systematic review and meta-analysis of the literature was carried out.

METHODS

A search of electronic databases up to August 2020 identified studies that examined the prognostic value of preoperative circulating markers of the systemic inflammatory response in primary operable breast cancer. A meta-analysis was carried out for each marker with more than three studies, reporting a HR and 95 per cent confidence interval for disease-free survival (DFS), breast cancer-specific survival (BCSS) or overall survival (OS).

RESULTS

In total, 57 studies were reviewed and 42 were suitable for meta-analysis. Higher neutrophil-to-lymphocyte ratio (NLR) was associated with worse overall survival (OS) (pooled HR 1.75, 95 per cent c.i. 1.52 to 2.00; P < 0.001), disease-free survival (DFS) (HR 1.67, 1.50 to 1.87; P < 0.001), and breast cancer-specific survival (BCSS) (HR 1.89, 1.35 to 2.63; P < 0.001). This effect was also seen with an arithmetically-derived NLR (dNLR). Higher platelet-to-lymphocyte ratio (PLR) was associated with worse OS (HR 1.29, 1.10 to 1.50; P = 0.001) and DFS (HR 1.58, 1.33 to 1.88; P < 0.001). Higher lymphocyte-to-monocyte ratio (LMR) was associated with improved DFS (HR 0.65, 0.51 to 0.82; P < 0.001), and higher C-reactive protein (CRP) level was associated with worse BCSS (HR 1.22, 1.07 to 1.39; P = 0.002) and OS (HR 1.24, 1.14 to 1.35; P = 0.002).

CONCLUSION

Current evidence suggests a role for preoperative NLR, dNLR, LMR, PLR, and CRP as prognostic markers in primary operable breast cancer. Further work should define their role in clinical practice, particularly reproducible thresholds and molecular subtypes for which these may be of most value.

Breast cancer liver metastasis: Pathogenesis and clinical implications

Breast cancer is the most common malignant disease in female patients worldwide and can spread to almost every place in the human body, most frequently metastasizing to lymph nodes, bones, lungs, liver and brain. The liver is a common metastatic location for solid cancers as a whole, and it is also the third most common metastatic site for breast cancer. Breast cancer liver metastasis (BCLM) is a complex process. Although the hepatic microenvironment and liver sinusoidal structure are crucial factors for the initial arrest of breast cancer and progression within the liver, the biological basis of BCLM remains to be elucidated. Importantly, further understanding of the interaction between breast cancer cells and hepatic microenvironment in the liver metastasis of breast cancer will suggest ways for the development of effective therapy and prevention strategies for BCLM. In this review, we provide an overview of the recent advances in the understanding of the molecular mechanisms of the hepatic microenvironment in BCLM formation and discuss current systemic therapies for treating patients with BCLM as well as potential therapeutic development based on the liver microenvironment-associated signaling proteins governing BCLM.

A Novel Inflammatory Marker in the Follow-up of Moderate-to-Severe Acne Vulgaris Administered Isotretinoin: Systemic Immune-Inflammation Index (SII)

BACKGROUND

Systemic immune-inflammation index (SII) is calculated by multiplying the neutrophil-lymphocyte ratio (NLR) and the platelet count. In this study, we aimed to investigate the difference of SII and other inflammatory markers in patients with acne vulgaris compared to healthy controls and themselves after Oral isotretinoin (ISO) treatment.

MATERIALS AND METHODS

In this study 190 patients with severe acne vulgaris who received at least 3 months of ISO treatment (0.5-1mg/kg/day) and 66 healthy individuals were evaluated. Hemoglobin, neutrophil, lymphocyte, monocyte, and platelet counts, mean platelet volume (MPV), Plateletcrit (PCT), NLR, platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), and SII were analyzed.

RESULTS

Before ISO treatment, patients with moderate-to-severe acne vulgaris had significantly higher neutrophil counts and SII levels than healthy controls (p=0.036, p=0.028; respectively). In the third month of ISO treatment, both neutrophil count and SII level were similar to healthy control (p=0.376, p=0.379; respectively). In the follow-up of patients using ISO, a significant decrease was observed especially in SII levels (p=0.037). Although the lymphocyte count was not significantly different from the control group before treatment, it increased significantly after ISO and was significantly higher than both the control and pretreatment period (p=0.134, P=0.026, p=0.017; respectively). Although NLR was not different from control in the pre- and post-treatment period, the change in neutrophil and lymphocyte counts after treatment caused a statistically significant decrease in NLR (p=0.682, p=0.289, p=0.043; respectively).

CONCLUSIONS

We believe that SII is a more useful parameter as an indicator of the anti-inflammatory effect of isotretinoin.

Increased systemic immune-inflammation index can predict respiratory failure in patients with Guillain-Barré syndrome

BACKGROUND

Guillain-Barré syndrome (GBS) is a common peripheral neuropathy with relatively heterogenous clinical manifestations. In severe cases, it can result in disabling neuromuscular symptoms and respiratory failure. In this study, we assessed whether the systemic immune-inflammation index (SII) is associated with respiratory failure in GBS patients.

METHODS

We retrospectively analyzed clinicopathological data from GBS patients diagnosed in the First Affiliated Hospital of Kunming Medical University. SII was calculated based on counts of neutrophils (N), platelets (P), and lymphocytes (L). Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values for SII, N, P, and L. Univariate and multivariate logistic regression were performed to determine the ability of the SII to predict respiratory failure.

RESULTS

Among the 369 GBS patients in this study, 61 (16.5%) suffered respiratory failure. Multivariate logistic regression showed that N ≥ 6.03 × 10⁹/l, Hughes Functional Grading Scale (HFGS) score ≥ 3 at admission, and SII ≥ 863.04 × 10⁹/l can independently predict respiratory failure in GBS patients. SII showed higher predictive ability than N, based on area under the ROC curve (0.75 vs. 0.72).

CONCLUSION

SII may be a novel independent prognostic indicator of respiratory failure in GBS patients, helping physicians identify those at risk in a timely manner.

A composite risk model predicts disease progression in early stages of COVID-19: A propensity score-matched cohort study

Background

Recently, studies on COVID-19 have focused on the epidemiology of the disease and clinical characteristics of patients, as well as on the risk factors associated with mortality during hospitalization in critical COVID-19 cases. However, few research has been performed on the prediction of disease progression in particular group of patients in the early stages of COVID-19.

Methods

The study included 338 patients with COVID-19 treated at two hospitals in Wuhan, China, from December 2019 to March 2020. Predictors of the progression of COVID-19 from mild to severe stages were selected by the logistic regression analysis.

Results

COVID-19 progression to severe and critical stages was confirmed in 78 (23.1%) patients. The average value of the neutrophil-to-lymphocyte ratio (NLR) was higher in patients in the disease progression group than in the improvement group. Multivariable logistic regression analysis revealed that elevated NLR, LDH and IL-10 were independent predictors of disease progression. The optimal cut-off value of NLR was 3.75. The values of the area under the curve, reflecting the accuracy of predicting COVID-19 progression by NLR was 0.739 (95%CI: 0.605–0.804). The risk model based on NLR, LDH and IL-10 had the highest area under the ROC curve.

Conclusions

The performed analysis demonstrates that high concentrations of NLR, LDH and IL-10 were independent risk factors for predicting disease progression in patients at the early stage of COVID-19. The risk model combined with NLR, LDH and IL-10 improved the accuracy of the prediction of disease progression in patients in the early stages of COVID-19.

6-lncRNA Assessment Model for Monitoring and Prognosis of HER2-Positive Breast Cancer: Based on Transcriptome Data

Background: In view of the high malignancy and poor prognosis of human epidermal growth factor receptor 2 (HER2)-positive breast cancer, we analyzed the RNA expression profiles of HER2-positive breast cancer samples to identify the new prognostic biomarkers.

Methods: The linear fitting method was used to identify the differentially expressed RNAs from the HER2-positive breast cancer RNA expression profiles in the Cancer Genome Atlas (TCGA). Then, a series of methods including univariate Cox, Kaplan-Meier, and random forests, were used to identify the core long non-coding RNAs (lncRNAs) with stable prognostic value for HER2-positive breast cancer. A clinical feature analysis was performed, and a competing endogenous RNA network was constructed to explore the role of these core lncRNAs in HER2-positive breast cancer. In addition, a functional analysis of differentially expressed messenger RNAs in HER-2 positive breast cancer also provided us with some enlightening insights.

Results: The high expression of four core lncRNAs (AC010595.1, AC046168.1, AC069277.1, and AP000904.1) was associated with worse overall survival, while the low expression of LINC00528 and MIR762HG was associated with worse overall survival. The 6-lncRNA model has an especially good predictive power for overall survival (p < 0.0001) and 3-year survival (the area under the curve = 0.980) in HER2-positive breast cancer patients.

Conclusion: This study provides a new efficient prognostic model and biomarkers of HER2-positive breast cancer. Meanwhile, it also provides a new perspective for elucidating the molecular mechanisms underlying HER2-positive breast cancer.

Systemic immune-inflammation index predicts postoperative acute kidney injury in hepatocellular carcinoma patients after hepatectomy

The systemic immune-inflammation index (SII) is an independent prognostic predictor of hepatocellular carcinoma (HCC). The present investigation examined whether an association exists between preoperative SII value and postoperative acute kidney injury (pAKI) in HCC patients.The study included 479 hepatitis B virus (HBV)-associated HCC patients undergoing hepatectomy. The SII was calculated as P × N/L, where P, N, and L represent the counts of platelets, neutrophils, and lymphocytes in routine blood test, respectively. After propensity score matching, logistic regression analysis was used to explore independent predictors of pAKI in HCC patients.pAKI was confirmed in 51 patients (10.8%). The average SII value was higher in patients with pAKI than patients without pAKI. After multivariate logistic regression analysis, SII, history of hypertension, and tumor size, among others, were found to be predictors of pAKI. The optimal threshold value of SII for predicting pAKI was found to be 547.84 × 109/L. Multivariate analysis performed after propensity score matching confirmed that SII ≥ 547.84 × 109/L was an independent predictor of pAKI.The preoperative SII qualifies as a novel, independent predictor of pAKI in HCC patients with HBV infection who underwent hepatectomy.

Systemic Immune-Inflammation Index Is Superior to Neutrophil to Lymphocyte Ratio in Prognostic Assessment of Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy

Results

SII, NLR, and PLR did not define patient groups with distinct clinicopathological characteristics. SII, NLR, and PLR cut-off values were 547, 2.13, and 88.23, as determined by ROC analysis; the corresponding areas under the curve (AUCs) were 0.625, 0.555, and 0.571, respectively. Cox regression models identified SII as independently associated with OS. Patients with low SII had prolonged OS (65 vs. 41 months, P = 0.017, HR: 3.24, 95% CI: 1.23-8.55). In the Z test, the difference in AUC between SII and NLR was statistically significant (Z = 2.721, 95% CI: 0.0194-0.119, P = 0.0065).

Conclusion

Our study suggests that the pretreatment SII value is significantly correlated with OS in breast cancer patients undergoing NAC and that the prognostic utility of SII is superior to that of NLR and PLR.

The systemic immune-inflammation index (SII) is an independent prognostic parameter of survival in patients with invasive vulvar cancer

Objective

To assess the prognostic value of the systemic immune-inflammation index (SII) in patients with vulvar cancer.

Methods

Data of 130 consecutive patients who underwent primary surgical resection for vulvar cancer at the Medical University of Vienna between 1999 and 2018 was retrospectively analyzed. The SII was defined as platelets × neutrophils/lymphocytes as previously described. Its prognostic value on disease-specific survival (DSS) and overall survival (OS) was evaluated by univariate log-rank tests and multivariable cox regression models. Prediction accuracy was assessed by receiver operating characteristics curves and Youden's J statistics. A Hosmer-Lemeshow test was performed to confirm the model's goodness of fit.

Results

A pre-therapeutic high serum SII (>866.4) was associated with advanced International Federation of Gynecology and Obstetrics (FIGO)-stage. In univariate survival analysis, a high SII was associated with both DSS (p<0.001) and OS (p=0.001). A multivariate cox regression model confirmed the prognostic value of SII regarding DSS (p<0.001) and OS (p=0.014) independently from patients' age and FIGO stage.

Conclusions

Pretherapeutic SII may serve as a promising predictor for survival in patients with vulvar cancer. After clinical validation, the SII may be used to improve both pre-treatment patient risk stratification and patient counseling.

A cutoff value for the Systemic Immune-Inflammation Index in determining activity of Behçet disease

BACKGROUND

Behçet disease (BD) is an immune-mediated vasculitis-like syndrome characterized by recurrent aphthous lesions and various systemic manifestations. Inflammatory markers may be useful to assess disease severity. The Systemic Immune-Inflammation Index (SII) (neutrophils × platelets/lymphocytes) has been widely used in oncology since 2014, with promising results.

AIM

To assess the efficiency of the SII in determining activity of BD.

METHODS

This retrospective cohort study was conducted on patients with BD who were admitted to the outpatient clinic of the Department of Dermatology and Venereology, Ufuk University Hospital, between 1 January 2010 and 31 December 2019. Patients were divided into two groups based on their disease status upon admission: (i) active BD (n = 103), and (ii) inactive BD (n = 63). Clinical characteristics, demographic features, type of medications, full blood count parameters, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), ferritin and SII were compared between the groups. Furthermore, receiver operating characteristic curve analysis was performed to assess the performance of the SII in determining disease severity upon admission to hospital.

RESULTS

Higher numbers of white blood cells, platelets and neutrophils, greater red cell distribution width, higher levels of ESR, CRP and ferritin, and higher SII were observed in the active disease group (P < 0.001). The cutoff value of 552 × 10³ /mm³ was found to have 81% sensitivity and 82% specificity.

CONCLUSION

The SII may be used as an additional indicator for the assessment of BD status and physicians should be cautious in patients with SII levels of > 552 × 10³ /mm³ ) at the initial evaluation of the patients.

Prognostic prediction of systemic immune-inflammation index for patients with gynecological and breast cancers: a meta-analysis

BACKGROUND

Systemic immune-inflammation index (SII) has been suggested to be effective to reflect the inflammatory status and thus may be an underlying biomarker for prognosis prediction. This hypothesis has been demonstrated in meta-analyses on several cancer types. However, there was no study to confirm the prognostic roles of SII for gynecological and breast cancers, which was the goal of our study.

METHODS

PubMed, EMBASE, and Cochrane Library databases were searched to collect the articles exploring the associations of SII with prognostic outcomes [overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), lymph node metastasis (LNM), and lymphovascular invasion (LVI)] in gynecological and breast cancers. The prognostic value of SII was estimated by hazard ratio (HR) or relative risk (RR) with 95% confidence interval (CI).

RESULTS

Nine articles involving 2724 patients in 11 datasets were included. Meta-analysis showed that a high SII index was significantly associated with poor OS (HR = 2.12, 95% CI, 1.61-2.79, P < 0.001), DFS/PFS (HR = 2.28, 95% CI 1.52-3.41, P < 0.001) and an increased risk for LNM (RR = 1.34, 95% CI 1.20-1.50, P < 0.001) in patients with gynecological and breast cancers. Subgroup analysis confirmed the prognostic role of SII for OS was applicable to all cancer types, but the association with DFS/PFS and LNM was only significant for ovarian cancer and breast cancer, especially triple-negative breast cancer. No significant association was detected between SII and LVI.

CONCLUSION

High SII may be a promising indicator for the prediction of poor prognosis in patients with gynecological and breast cancers, especially ovarian cancer and triple-negative breast cancer.

Prognostic value of the systemic immune-inflammation index in patients with breast cancer: a meta-analysis

Background

Although previous studies have evaluated the prognostic role of the systemic immune-inflammation index (SII) in patients with breast cancer, the results were inconsistent. Therefore, in this context, we aimed to identify the prognostic and clinicopathological value of the SII in patients with breast cancer by performing a meta-analysis.

Methods

A literature search was using PubMed, Web of Science, EMBASE, and Cochrane Library databases for relevant articles, from their inception to May 12, 2020. The prognostic value of the SII in breast cancer was assessed by pooling the hazard ratios (HRs) with 95% confidence intervals (CIs). The clinical outcomes included the overall survival (OS), disease-free survival (DFS), recurrence-free survival (RFS), and distant metastasis-free survival (DMFS). The methodological quality of all the included studies was evaluated using the Newcastle–Ottawa quality assessment scale. The odds ratios (ORs) with 95% CIs were combined to evaluate the correlation between the SII and clinicopathological characteristics of patients with breast cancer. Publication bias was evaluated using the Begg funnel plot and the Egger linear regression test. All statistical analyses were performed using Stata software, version 12.0 (Stata Corporation, College Station, TX, USA). A p value of < 0.05 was considered statistically significant.

Results

Eight studies involving 2642 patients were included in the current meta-analysis. The combined data showed that patients with a high SII had worse OS (HR = 1.79, 95% CI 1.33–2.42, p < 0.001), poorer DFS/RFS (HR = 1.79, 95% CI 1.31–2.46, p < 0.001), and inferior DMFS (HR = 1.64, 95% CI 1.32–2.03, p < 0.001) than patients with a low SII. In addition, a high SII was correlated with the presence of lymph node metastasis (OR = 1.38, 95% CI 1.12–1.69, p = 0.002), higher T stage (OR = 1.49, 95% CI 1.17–1.89, p < 0.001), advanced TNM stage (OR = 1.37, 95% CI 1.07–1.77, p = 0.014), and higher histological grade (OR = 3.71, 95% CI 1.00–13.73, p = 0.049). However, there was no significant association between the SII and the pathological type (OR = 0.82, 95% CI 0.55–1.23, p = 0.345) or lymphatic invasion (OR = 1.30, 95% CI 0.82–2.08, p = 0.266).

Conclusions

The results of our meta-analysis suggest that an elevated SII predicts poor survival outcomes and is associated with clinicopathological features that indicate tumor progression of breast cancer.

A cut-off value for systemic immune-inflammation index in the prediction of adverse neonatal outcomes in preterm premature rupture of the membranes

AIM

To determine a cut-off value for systemic immune-inflammation index (SII)(neutrophil × platelet /lymphocyte) in the prediction of adverse neonatal outcomes in preterm premature rupture of the membranes (PPROM).

METHODS

This retrospective cohort study was conducted among singleton pregnancies with PPROM. Cases were divided into two main groups: Group 1) PPROM diagnosed at 24th-28th weeks of gestation and Group 2) PPROM diagnosed at >28th-34th weeks of gestation. Thereafter, main study groups were divided into two subgroups: Subgroup A: pregnancies with favorable neonatal outcomes and Subgroup B: pregnancies with composite adverse neonatal outcomes. Subgroups were compared in terms of demographic features, clinical characteristics, laboratory test results and SII values. Furthermore, cut-off values of SII for the prediction of composite adverse neonatal outcomes were determined for two main groups. A Mann-Whitney U test was conducted to compare the median values and the chi-square test was used to compare categorical variables among the groups. Receiver operating characteristic (ROC) curves were used to assess the performance of SII value in predicting composite adverse neonatal outcomes.

RESULTS

Significant differences were observed for median platelet and SII values between the subgroups (P < 0.001 for both in group 1 and P = 0.002 and P = 0.005, respectively, in group 2). Cut-off values of 1695.14 10⁹ /L (83.3% sensitivity, 85.7% specificity) and 1430.90 × 10⁹ /L (71.4% sensitivity, 75.7% specificity) for composite adverse neonatal outcomes were determined, respectively in group 1 and 2 according to the ROC curve analysis.

CONCLUSION

SII may be used as an additional indicator for the prediction of adverse neonatal outcomes in PPROM.

The Research Progress on the Prognostic Value of the Common Hematological Parameters in Peripheral Venous Blood in Breast Cancer

Breast carcinoma is one of the most malignant tumors, severely influencing the physical and mental health of people. The latest epidemiological and clinical studies have found that breast tumor and inflammation are determinate relationships with each other. Inflammation is an essential component of the tumor microenvironment, and the change of inflammatory cells might influence tumor progression, such as neoplastic cell proliferation, migration, invasion, the collapse of antitumor immunity, metastasis and so forth. Peripheral blood tests at the time of diagnosis and treatment can reflect inflammatory conditions within the neoplasm. Evaluation of peripheral blood parameters including white blood cell, neutrophil, lymphocyte, monocyte, platelet counts, as well as neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (d-NLR) (neutrophil count divided by the result of white blood cell count minus neutrophil count), platelet-to-lymphocyte ratio (PLR) and lymphocyte-to-monocyte ratio (LMR), which are indicators of systematic inflammatory response, have been widely proposed as prognostic factors for many malignancies. To intensively study the relationship between the common markers in peripheral blood and the treatment or prognosis of breast cancer will have critical clinical significance and application prospect, and can provide useful information for the clinicians. Herein, we review the research progress in the prognostic role of the peripheral blood in breast cancer to provide a new method for the treatment and prognosis of breast cancer.

High Systemic Immune-Inflammation Index Predicts Poor Survival in Patients with Human Epidermal Growth Factor Receptor-2 Positive Breast Cancer Receiving Adjuvant Trastuzumab

Purpose

Neutrophils and platelets have been described as tumor-promoting factors, but lymphocytes have been described as tumor-inhibiting factors. The prognostic values of the neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) have been explored in human epidermal growth factor receptor (HER2)-positive breast cancer, however, the value of the systemic immune- inflammation index (SII) has not been studied in this molecular subtype. Our study aimed to compare the prognostic values of these inflammation-based indexes in Chinese HER2-positive breast cancer patients who received adjuvant trastuzumab.

Methods

A total of 147 HER2-positive breast cancer patients were retrospectively analyzed. The association between clinicopathological factors and inflammation-based indexes was investigated. The Kaplan-Meier method was used to evaluate overall survival (OS) and disease-free survival (DFS); the Log rank test was performed to comparatively evaluate the survivals between the high-value and low-value groups. Multivariate Cox regression analysis was used to identify independent prognostic factors.

Results

The SII value correlated significantly with histological grade (HG)(p=0.016). The cut-off values determined by ROC analysis for the NLR, PLR and SII were 1.69, 110 and 442, and the corresponding areas under the curves (AUCs) were 0.621, 0.639 and 0.674, respectively. The 5-year DFS was significantly lower in the NLR-high than in the NLR-low group (75.8% vs. 90.7%, p<0.01), in the PLR-high than in the PLR-low group (76.7% vs. 90.6%, p<0.01) and in the SII-high than in the SII-low group (66.8% vs. 90.7%, p<0.01). The 5-year OS was significantly lower in the PLR-high than in the PLR-low group (83.2% vs. 100%, p=0.035) and in the SII-high than in the SII-low group (77.3% vs. 96.4%, p=0.012). A multivariate regression model revealed that tumor size, lymph node involvement, HG, hormone receptor status, PLR and SII were independently correlated with DFS; lymph node involvement and SII were independently correlated with OS.

Conclusion

Our study suggests that SII is an independent prognostic factor for DFS and OS in HER2-positive breast cancer, and in terms of prognostic reliability, the SII is superior to other inflammation-based indexes.

Systemic immune-inflammation index predicted overall survival and radiosensitivity in advanced non-small-cell lung cancer

Aim: To evaluate the predictive significance of systemic immune-inflammation index (SII) on overall survival (OS) and radiosensitivity in advanced non-small-cell lung cancer. Materials & methods: Kaplan-Meier analysis and Cox proportional hazard models were used to assess the prognostic value of SII. Results: The optimal cutoff for SII was 555.59, with an area under the curve of 0.782 (sensitivity: 76.6%, specificity: 71.9%, 95% CI: 0.730-0.833), respectively. Median OS (p < 0.001) in the low SII group (32.8 months) was better than the OS in the high SII group (8.5 months). SII-low group statistically exhibited a better radiosensitivity. Conclusion: SII was an independent prognostic factor for OS and predictive factor for radiosensitivity. Higher level of SII associated with poorer OS and poorer radiosensitivity.