Prognostic value of systemic immune-inflammation index in patients with advanced non-small-cell lung cancer

Lymphocyte-to-C-reactive protein ratio predicts prognosis in unresectable locally advanced non-small cell lung cancer patients

BACKGROUND

The lymphocyte-to-C-reactive protein ratio (LCR) is a promising inflammation-based tool for assessing the status of patients with malignant tumours. This study evaluated the ability of LCR to predict the prognosis of patients with unresectable locally advanced non-small cell lung cancer (LA-NSCLC) after chemoradiotherapy.

METHODS

We retrospectively investigated 206 consecutive patients with unresectable LA-NSCLC who underwent chemoradiotherapy between January 2016 and November 2019. The LCR was calculated from the differential count by dividing the absolute lymphocyte count by the C-reactive protein level. The optimal cut-off value of LCR was determined using the receiver operating characteristic (ROC) curve, and the enrolled patients were divided into two groups for further analysis according to LCR. Overall survival (OS) and disease-free survival (DFS) were assessed using univariate and multivariate Cox regression analyses.

RESULTS

In patients with unresectable LA-NSCLC, the level of LCR was significantly associated with pathology (p = 0.042) and TNM stage (p = 0.002). High LCR and low LCR patients had different distinct outcomes (median OS: 36 vs. 34 months, p < 0.0001) and recurrence risk (median DFS: 31 vs. 23 months, p < 0.001). Univariate analysis indicated that Eastern Cooperative Oncology Group (ECOG) performance status, TNM stage, CEA level, response, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), systemic immune inflammation index (SII), and LCR were predictors of OS and DFS. Multivariate analysis showed that a high LCR was an independent prognostic factor for OS (hazard ratio [HR], 0.526; 95% CI, 0.364-0.762; p = 0.001) and DFS (HR, 0.390; 95% CI, 0.275-0.554; p < 0.001).

CONCLUSION

LCR is a promising prognostic index in patients with LA-NSCLC undergoing chemoradiotherapy, and an increase in the LCR level contributes to better outcomes.

Inflammatory marker cut-off points and prognosis in incurable cancer: validation study

OBJECTIVES

The study aimed to determine and validate cut-off points for selected inflammatory markers to predict 30-day, 60-day and 90-day survival in patients with incurable cancer exclusively receiving palliative care.

METHODS

Prospective cohort study with patients referred to the palliative care unit of a national reference centre for cancer in Brazil. The sample (n=2098) was randomised into development (n=1049) and validation (n=1049) groups. C-reactive protein (CRP), CRP/albumin ratio (CAR), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) were evaluated. Time-dependent receiver operating characteristic curves were used to define the optimal cut-off points. Kaplan-Meier curves, Cox proportional hazards models and concordance statistic (C-statistic) were used to evaluate their predictive ability.

RESULTS

The optimal cut-off points related to 30-day, 60-day and 90-day mortality were, respectively, as follows: CRP ≥6.0 mg/L, ≥4.8 mg/L and ≥4.7 mg/L; CAR ≥2.0, ≥1.7 and ≥1.5; NLR ≥6.5, ≥5.8 and ≥5.7; PLR ≥298.0, ≥286.7 and ≥281.2; LMR ≥1.9, ≥2.2 and ≥2.0; PNI ≥35.5, ≥46.8 and ≥30.5; and SII ≥2254.4, ≥1983.0 and ≥1844.1. The inflammatory markers that showed discriminatory accuracy (CRP, CAR, NLR, PLR and SII) were selected for validation. These markers demonstrated predictive ability, with good discriminatory power (C-statistic ≥0.75).

CONCLUSIONS

Optimal cut-off points were validated for CRP, CAR, NLR, PLR and SII for use in the prognostic assessment of patients with incurable cancer exclusively receiving palliative care.

Prognostic significance of systemic immune inflammatory index in NSCLC: a meta-analysis

Aim: The aim of this meta-analysis was to investigate the relationship between the baseline systemic immune inflammatory index (SII) and prognosis in patients with NSCLC. Materials & methods: The relation between pretreatment SII and overall survival, disease-free survival, cancer-specific survival, progression-free survival and recurrence-free survival in NSCLC patients was analyzed combined with hazard ratio and 95% CI. Results: The results showed that high SII was significantly correlated with overall survival and progression-free survival of NSCLC patients, but not with disease-free survival, cancer-specific survival and recurrence-free survival. Conclusion: The study suggests that a higher SII has association with worse prognosis in NSCLC patients. PROSPERO registration number: CRD42022336270.

Advances in systemic immune inflammatory indices in non-small cell lung cancer: A review

Lung cancer is one of the most prevalent cancers globally, with non-small cell lung cancers constituting the majority. These cancers have a high incidence and mortality rate. In recent years, a growing body of research has demonstrated the intricate link between inflammation and cancer, highlighting that inflammation and cancer are inextricably linked and that inflammation plays a pivotal role in cancer development, progression, and prognosis of cancer. The Systemic Immunoinflammatory Index (SII), comprising neutrophil, lymphocyte, and platelet counts, is a more comprehensive indicator of the host's systemic inflammation and immune status than a single inflammatory index. It is widely used in clinical practice due to its cost-effectiveness, simplicity, noninvasiveness, and ease of acquisition. This paper reviews the impact of SII on the development, progression, and prognosis of non-small cell lung cancer.

Naples Prognostic Score as an Independent Predictor of Survival Outcomes for Resected Locally Advanced Non-Small Cell Lung Cancer Patients After Neoadjuvant Treatment

Background

The Naples Prognostic Score (NPS) can reflect patient's nutritional and inflammatory status, which is identified as a prognostic indicator for various malignant tumors. However, its significance in patients with resected locally advanced non-small cell lung cancer (LA-NSCLC) patients who receive neoadjuvant treatment remains unclear so far.

Methods

A total of 165 LA-NSCLC patients surgically treated from May 2012 to November 2017 were retrospectively investigated. The LA-NSCLC patients were divided into three groups according to NPS scores. The receiver operating curve (ROC) analysis was performed to reveal the discriminatory ability of NPS and other indicators for predicting the survival. The NPS and clinicopathological variables were further evaluated the prognostic value by univariate and multivariate Cox analysis.

Results

The NPS was related to age (P = 0.046), smoking history (P = 0.004), Eastern Cooperative Oncology Group (ECOG) score (P = 0.005), and adjuvant treatment (P = 0.017). Patients with high NPS scores had worse overall survival (OS) (group 1 vs 0, P = 0.006; group 2 vs 0, P < 0.001) and disease-free survival (DFS) (group 1 vs 0, P < 0.001; group 2 vs 0, P < 0.001). The ROC analysis demonstrated that NPS had better predictive ability than other prognostic indicators. Multivariate analysis revealed that NPS was independent prognostic indicator of OS (group 1 vs 0, hazard ratio [HR] =2.591, P = 0.023; group 2 vs 0, HR = 8.744, P = 0.001) and DFS (group 1 vs 0, HR =3.754, P < 0.001; group 2 vs 0, HR = 9.673, P < 0.001).

Conclusion

The NPS could be an independent prognostic indicator in patients with resected LA-NSCLC receiving neoadjuvant treatment and more reliable than the other nutritional and inflammatory indicators.

Prognostic significance of pretreatment systemic immune-inflammation index in patients with prostate cancer: a meta-analysis

BACKGROUND

The SII (systemic immune-inflammation index) has been extensively reported to have a prognostic value in prostate cancer (PCa), despite the unconformable results. The purpose of this meta-analysis is to quantify the effect of pretreatment SII on survival outcomes in patients with PCa.

METHODS

The following databases were searched: Web of Science, Cochrane Library, PubMed, Embase, and China National Knowledge Infrastructure (CNKI). For exploration of the SII's correlations with the overall survival (OS) and the progression-free survival/biochemical recurrence-free survival (PFS/bRFS) in PCa, the pooled hazard ratios (HRs) were assessed within 95% confidence intervals (CIs).

RESULTS

The present meta-analysis covered 10 studies with 8133 patients. Among the PCa population, a high SII was linked significantly to poor OS (HR = 2.63, 95% CI = 1.87-3.70, p < 0.001), and worse PFS/bRFS (HR = 2.49, 95% CI = 1.30-4.77, p = 0.006). However, a high SII was not linked significantly to T stage (OR = 1.69, 95% CI = 0.86-3.33, p = 0.128), the metastasis to lymph node (OR = 1.69, 95% CI = 0.69-4.16, p = 0.251), age (OR = 1.41, 95% CI = 0.88-2.23, p = 0.150), or the Gleason score (OR = 1.32, 95% CI = 0.88-1.96, p = 0.178).

CONCLUSIONS

For the PCa sufferers, the SII might be a promising prognostic biomarker, which is applicable to the high-risk subgroup identification, and provide personalized therapeutic strategies.

Assessment of Naples prognostic score in predicting survival for small cell lung cancer patients treated with chemoradiotherapy

BACKGROUNDS

The Naples prognosis score (NPS) is a novel prognostic biomarker-based immune and nutritional status and that can be used to evaluate prognosis. Our study aimed to investigate the prognostic role of NPS in SCLC patients.

METHODS

Patients treated with chemoradiotherapy were retrospectively analyzed between June 2012 and August 2017. We divided patients into three groups depending on the NPS: group 0, n = 31; group 1, n = 100; and group 2, n = 48, and associations between clinical characteristics and NPS group were analyzed. The univariable and multivariable Cox analyses were used to evaluate the prognostic value of clinicopathological characteristics and laboratory indicators for overall survival (OS) and progression-free survival (PFS).

RESULTS

Data from 179 patients were analyzed. Treatment modality (p < 0.001) and serum CEA (p = 0.03) were significantly different among the NPS groups. The age, sex, smoking status, KPS, Karnofsky performance score (KPS), disease extent, and number of metastatic sites were not correlated with NPS (all p > 0.05). KPS, disease extent, prophylactic cranial irradiation, treatment response and NPS Group were associated with OS. In addition, KPS, disease extent, prophylactic cranial irradiation, treatment response and NPS Group were associated with PFS. Multivariate analysis results showed that NPS was identified as an independent prognostic factor for OS (Group 1: hazard ratio [HR] = 2.704, 95% confidence interval [CI] = 1.403-5.210; p = 0.003; Group 2: HR = 5.154, 95% CI = 2.614-10.166; p < 0.001) and PFS (Group 1: HR = 2.018, 95% CI = 1.014-4.014; p = 0.045; Group 2: HR = 3.339, 95% CI = 1.650-6.756; p = 0.001).

CONCLUSIONS

NPS is related to clinical outcomes in patients with SCLC.

The Relationship Between Systemic Immune Inflammatory Index and Prognosis of Patients With Non-Small Cell Lung Cancer: A Meta-Analysis and Systematic Review

Background

The relationship between systemic immune inflammation index (SII) and the prognosis of cancer has always been a subject of intense interest. However, the prognostic value of SII in non-small cell lung cancer (NSCLC) patients remains a controversial topic.

Objective

To evaluate the effect of SII index on prognosis of NSCLC.

Methods

We conducted a comprehensive search of PubMed, EMBASE, and the Cochrane Library databases to determine correlation between SII index, clinicopathological features, overall survival (OS), and progression-free survival (PFS). Odds ratio (ORs) and 95% confidence interval (CIs) were used to assess the connection between SII and clinicopathological parameters, and HRs and 95% CIs were used to assess the connection between SII and survival.

Results

Seventeen studies with 8,877 cases were included in the analysis. Compared with NSCLC patients with low SII level, patients with NSCLC with high SII level had a poor OS (HR = 1.75, 95% CI, 1.50–2.00; P < 0.001) and had a poor PFS (HR = 1.61, 95% CI, 1.25–1.96; P < 0.001). In addition, patients with higher pathological stage (II–III) had higher SII levels (OR = 2.32, 95% CI, 2.06–2.62; P < 0.001).

Conclusions

The SII index is a promising prognostic biomarker for NSCLC and may help clinicians choose appropriate NSCLC treatments.

Naples prognostic score: a novel predictor of survival in patients with HER2-positive breast cancer

Purpose: The predictive significance of the Naples prognostic score (NPS) in HER2-positive breast cancer is unclear. Hence we sought to evaluate the relationship between NPS and the clinical outcomes in HER2-positive breast cancer patients. Methods: This study retrospectively collected and analyzed data from 173 HER2-positive breast cancer patients between August 2004 and February 2014. The Cox regression model was applied in univariate and multivariate statistical analysis. Results: In multivariate analysis, increased NPS score correlated significantly with poor overall survival (p = 0.001) and disease-free survival (p < 0.001). Conclusion: Our findings may point to NPS being a novel and reliable prognostic score system with favorable predictive ability for HER2-positive breast cancer patients.

Evaluation of Predictive Values of Naples Prognostic Score in Patients with Unresectable Stage III Non-Small Cell Lung Cancer

Background

Naples prognosis score (NPS) is a new prognostic score according to host inflammatory and nutritional state, and it could be useful for predicting tumor prognosis based on albumin level, total cholesterol level, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio. This study aimed to evaluate the clinical significance of Naples prognostic score (NPS) in stage III non-small cell lung cancer patients (NSCLC).

Patients and Methods

In this study, 206 patients diagnosed with locally advanced NCCLC receiving chemoradiotherapy were retrospectively reviewed from January 2013 to January 2017. The included patients were divided into 3 groups according to NPS (group 0, group 1, and group 2), and the associations of the NPS with clinical characteristics and outcomes were evaluated among the groups. Survival curves for the NPS were analyzed using the Kaplan-Meier method. Univariate and multivariate analyses were performed using the Cox proportional hazards regression model to evaluate the prognostic value of overall survival (OS) and progression-free survival (PFS).

Results

The median follow-up time of this study was 37.0 (range, 13-59) months. The median OS was 27 months in group 0, 23 months in group 1, and 21 months in group 2, and median PFS was 15, 12 and 13 in group 0, group 1 and group 2, respectively. Age was significantly different among the 3 groups. The NPS was superior to other host inflammatory and nutritional indexes for prognostic risk stratification. In the multivariate analysis, NPS was identified as an independent prognostic indicator for OS and PFS (all P<0.05).

Conclusion

The NPS system is considered to be a useful predictor of outcomes in patients with stage III NSCLC.

Transfusion‑related immunomodulation in patients with cancer: Focus on the impact of extracellular vesicles from stored red blood cells (Review)

Red blood cell (RBC) transfusions may have a negative impact on the prognosis of patients with cancer, where transfusion‑related immunomodulation (TRIM) may be a significant contributing factor. A number of components have been indicated to be associated with TRIM. Among these, the impact of extracellular vesicles (EVs) has been garnering increasing attention from researchers. EVs are defined as nano‑scale, cell‑derived vesicles that carry a variety of bioactive molecules, including proteins, nucleic acids and lipids, to mediate cell‑to‑cell communication and exert immunoregulatory functions. RBCs in storage constitutively secrete EVs, which serve an important role in TRIM in patients with cancer receiving a blood transfusion. Therefore, the present review aimed to first summarize the available information on the biogenesis and characterization of EVs. Subsequently, the possible mechanisms of TRIM in patients with cancer and the impact of EVs on TRIM were discussed, aiming to provide an outlook for future studies, specifically for formulating recommendations for managing patients with cancer receiving RBC transfusions.

The Value of the Systemic Immune-Inflammation Index in Predicting Survival Outcomes in Patients with Brain Metastases of Non-Small-Cell Lung Cancer Treated with Stereotactic Radiotherapy

Background

As a parameter integrating platelet (P), neutrophil (N), and lymphocyte (L) levels, the systemic immune-inflammation index (SII) has been used as a prognostic marker for patient survival in various types of solid malignant tumors. However, there is no in-depth study in non-small-cell lung cancer (NSCLC) patients with brain metastases after stereotactic radiotherapy. Therefore, we performed a retrospective analysis to determine the clinical and prognostic value of the SII in NSCLC patients with brain metastases who underwent stereotactic radiotherapy.

Materials and Methods

We enrolled 124 NSCLC patients with brain metastases treated with stereotactic radiotherapy in our hospital between May 2015 and June 2018. We obtained all baseline blood samples within one week prior to stereotactic radiotherapy. The SII was calculated by the following formula: neutrophil counts × platelet counts/lymphocyte counts. The optimal cutoff value of the SII for predicting prognosis was assessed by receiver operating characteristic (ROC) curves with the maximum log-rank values. The discriminative ability of predicting prognosis was calculated and compared using the Kaplan–Meier method and log-rank test. The hazard ratio (HR) and 95% confidence interval (CI) were combined to evaluate the prognostic impact of the blood index on overall survival (OS) and progression-free survival (PFS). Only those parameters that proved to be associated with statistically significant differences in clinical outcomes were compared in multivariate analysis using a multiple Cox proportional hazard regression model to identify independent prognostic factors.

Results

Of the total enrolled patients, 53.2% and 46.8% have high SII and low SII, respectively. In this study, Kaplan–Meier curve analysis revealed that the median PFS was 9 months (range: 2–22 months) and the median OS was 18 months (range: 4–37 months). Applying an optimal cutoff of 480 (SII), the median PFS was better in the low SII group patients (11.5 vs. 9 months), and the median OS was significantly longer in the low SII group patients (20 vs. 18 months). A SII > 480 was significantly associated with worse OS (HR: 2.196; 95% CI 1.259–3.832; P = 0.006) and PFS (HR: 2.471; 95% CI 1.488–4.104; P < 0.001) according to univariate analysis. In multivariate analysis, only age (HR: 2.159; 95% CI 1.205–3.869; P = 0.010), KPS (HR: 1.887; 95% CI 1.114–3.198; P = 0.018), and SII (HR: 1.938; 95% CI 1.046–3.589; P = 0.035) were independently correlated with OS, and SII (HR: 2.224; 95% CI 1.298–3.810; P = 0.004) was an independent prognostic predictor of PFS, whereas we found that other inflammation-based indices lost their independent value.

Conclusions

The SII, which is an integrated blood parameter based on platelet, neutrophil, and lymphocyte counts, may be an independent prognostic indicator and may be useful for the identification of NSCLC patients with brain metastases after stereotactic radiotherapy at high risk for recurrence.

Prognostic impact of immune inflammation biomarkers in predicting survival and radiosensitivity in patients with non-small-cell lung cancer treated with chemoradiotherapy

INTRODUCTION

The purpose of this retrospective study was to investigate the prognostic impact of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), derived NLR (dNLR) and systemic immune-inflammation index (SII) in predicting outcomes for patients with locally advanced non-small-cell lung cancer (NSCLC). The secondary endpoint was to evaluate the radiosensitivity in terms of response rate.

METHODS

Newly diagnosed locally advanced NSCLC patients were enrolled. Immune inflammation biomarkers were calculated from baseline blood samples. Patients were stratified in two groups based on optimal cut-off values for each biomarker. The associations between biomarkers and overall survival (OS), progression-free survival (PFS), local regional recurrence-free survival (LRRFS), and also response to radiotherapy were analysed.

RESULTS

A total of 392 patients were included. Five-year OS, PFS and LRRFS rates were 14.6%, 12.1%, and 13.4% respectively. Optimal cut-off values for NLR, PLR, dNLR and SII were 3.07, 166, 2.02 and 817 respectively. Low NLR (HR 1.73, 95% CI 1.34-2.24, P < 0.001), low PLR (HR 1.37, 95% CI 1.06-1.76, P = 0.013), low dNLR (HR 1.66, 95% CI 1.29-2.13, P < 0.001) and low SII (HR 1.63, 95% CI 1.18-2.04, P < 0.001) were independent prognostic factors for OS. Low NLR, PLR, dNLR and SII were also significant prognostic factors for PFS and LRRFS. Low NLR, low dNLR and low SII groups had better radiosensitivity than compared with high NLR, high dNLR and high SII groups (P = 0.001, P = 0.001 and P = 0.012).

CONCLUSION

NLR, PLR, dNLR and SII were independently associated with improved OS, PFS and LRRFS. Low NLR, dNLR and SII groups had better radiosensitivity. Immune inflammation biomarkers are promising prognostic predictors which can be obtained easily and inexpensively.

Prognostic significance of the systemic immune-inflammation index in pancreatic carcinoma patients: A meta-analysis

Background: Systemic immune-inflammation index (SII) is a prognostic indicator for several malignancies, including pancreatic carcinoma; however, there is no consensus on its significance. In the current study, a systematic meta-analysis was used to explore the correlation between SII and prognosis in pancreatic carcinoma patients.

Methods: PubMed, Embase and Cochrane Library databases were screened from inception to May 2020. Studies describing the prognostic role of SII in pancreatic carcinoma were then retrieved. The pooled hazard ratio (HR) and 95% confidence interval (CI) was calculated using random- or fixed-effects models to determine the correlation between SII and prognosis.

Results: A total of four studies, comprising 1749 patients, met the inclusion criteria of the study and were therefore included in this meta-analysis. The meta-analysis showed that high SII indicated was correlated with worse overall survival (OS) in patients with pancreatic carcinoma (HR: 1.43, 95% CI: 1.24–1.65, P<0.001). These findings were validated through subgroup analyses, stratified by the American Joint Committee on Cancer (AJCC) stage. In addition, patients with high SII showed poorer cancer-specific survival (HR: 2.32, 95% CI: 1.55–3.48, P<0.001). However, analysis showed no significant correlations between SII and disease-free and relapse-free survival (RFS).

Conclusion: These findings indicate that SII is a potential non-invasive and a promising tool for predicting clinical outcomes of pancreatic carcinoma patients. However, the current research did not explore whether neoadjuvant therapy has an effect on the prognostic value of SII. Further studies using adequate designs and larger sample sizes are required to validate these findings.

Impact of body composition, nutritional and inflammatory status on outcome of non-small cell lung cancer patients treated with immunotherapy

BACKGROUND AND AIMS

Body composition and balance of nutritional and inflammatory status are important for the immune system. Alterations of these aspects may impact on response, outcome and toxicities of immunotherapy. In this review we try to clarify some definitions and tools used for the assessment of the different aspects of nutritional disorders, body composition and inflammatory status with a focus on lung cancer.

METHODS

We primary investigate the definitions of malnutrition, cachexia, sarcopenia and overweight. Secondary, tools used to measure body composition, nutritional and inflammatory status, mainly in lung cancer are reviewed.

RESULTS

All these features, in the time of precision medicine may improve assessment and selection of patients, incorporating also early palliative care in standard therapy.

CONCLUSIONS

A multimodal approach based on nutrition assessment and physical exercise should be evaluated to improve aspects of the immune response against cancer and to propose the best treatment to every patient.

Systemic inflammation is associated with inferior disease control and survival in stage III non-small cell lung cancer

Background

The systemic immune-inflammation index (SII) correlates with patient survival in various types of solid malignancies, including non-small cell lung cancer (NSCLC). However, limited information is available on the prognostic implication and disease-specific survival of SII in patients undergoing definitive chemoradiation therapy (CRT) for stage III NSCLC.

Methods

We retrospectively reviewed 125 patients who underwent curative intent CRT for stage III NSCLC with sufficient laboratory assessment from 2010–2019. SII was calculated at the time of diagnosis as platelet count × neutrophil count/lymphocyte count. Chi-squared analysis was used to compare categorical variables. A Kaplan-Meier analysis was performed to estimate progression-free survival (PFS), disease specific survival (DSS), and overall survival (OS) rates, with Cox regression used to determine absolute hazards.

Results

At a median follow-up of 19.7 months, 5-year OS, DSS, and PFS rates were 22.6%, 30.9%, and 13.4%, respectively. A low SII (<1,266) at diagnosis was independently associated with an improved OS (HR: 0.399, 95%, CI: 0.247–0.644, P<0.001), DSS (HR: 0.383, 95%, CI: 0.228–0.645, P<0.001), and PFS (HR: 0.616, 95%, CI: 0.407–0.932, P=0.022). We did not detect an association between SII and freedom from recurrence (FFR), freedom from locoregional recurrence (FFLRR), or freedom from distant recurrence (FFDR). NSAID (1,483.4 vs. 2,302.9, P=0.038) and statin usage (1,443.9 vs. 2,201.7, P=0.046) were associated with a lower SII while COPD exacerbations (2,699.7 vs. 1,573.7, P=0.032) and antibiotic prescriptions (2,384.6 vs. 1,347.9, P=0.009) were associated with an elevated SII. These factors were not independently associated with improved survival outcomes.

Conclusions

Low SII scores were independently associated with improved OS, DSS, and PFS rates in patients with stage III NSCLC undergoing definitive CRT. NSAIDs and statin usage may be associated with lower SII at diagnosis of NSCLC. This study suggests that SII may be an effective prognostic indicator of patient mortality. Further investigation of the therapeutic potential of these agents in patients with an elevated SII in this setting may be warranted.

The Change of Systemic Immune-Inflammation Index Independently Predicts Survival of Colorectal Cancer Patients after Curative Resection

Background

The systemic immune-inflammation index (SII) has an important role in predicting survival in some solid tumors. However, little information is available concerning the change of the SII (∆SII) in colorectal cancer (CRC) after curative resection. This study was designed to evaluate the role of ∆SII in CRC patients who received surgery.

Methods

A total 206 patients were enrolled in this study. Clinicopathologic characteristics and survival were assessed. The relationships between overall survival (OS), disease-free survival (DFS), and ∆SII were analyzed with both univariate Kaplan-Meier and multivariate Cox regression methods.

Results

Based on the patient data, the receiver operating characteristic (ROC) optimal cutoff value of ∆SII was 127.7 for OS prediction. The 3-year and 5-year OS rates, respectively, were 60.4% and 36.7% in the high-∆SII group (>127.7) and 87.6% and 79.8% in the low-∆SII group (≤127.7). The 3-year and 5-year DFS rates, respectively, were 54.1% and 34.1% in the high-∆SII group and 80.3% and 78.5% in the low-∆SII group. In the univariate analysis, smoking, pathological stages III-IV, high-middle degree of differentiation, lymphatic invasion, vascular invasion, and the high-ΔSII group were associated with poor OS. Adjuvant therapy, pathological stages III-IV, vascular invasion, and ΔSII were able to predict DFS. Multivariate analysis revealed that pathological stages III-IV (HR = 0.442, 95% CI = 0.236-0.827, p = 0.011), vascular invasion (HR = 2.182, 95% CI = 1.243-3.829, p = 0.007), and the high-ΔSII group (HR = 4.301, 95% CI = 2.517-7.350, p < 0.001) were independent predictors for OS. Adjuvant therapy (HR = 0.415, 95% CI = 0.250-0.687, p = 0.001), vascular invasion (HR = 3.305, 95% CI = 1.944-5.620, p < 0.001), and the high-ΔSII group (HR = 4.924, 95% CI = 2.992-8.102, p < 0.001) were significant prognostic factors for DFS.

Conclusions

The present study demonstrated that ∆SII was associated with the clinical outcome in CRC patients undergoing curative resection, supporting the role of ∆SII as a prognostic biomarker.

Using the Systemic Immune-Inflammation Index (SII) as a Mid-Treatment Marker for Survival among Patients with Stage-III Locally Advanced Non-Small Cell Lung Cancer (NSCLC)

The Systemic Immune-Inflammation Index (SII) is an important marker of immune function, defined as the product of neutrophil-to-lymphocyte ratio (NLR) and platelet count (P). Higher baseline SII levels have been associated with improved survival in various types of cancers, including lung cancer. Data were obtained from PROCLAIM, a randomized phase III trial comparing two different chemotherapy regimens pemetrexed + cisplatin (PEM) vs. etoposide + cisplatin (ETO), in combination with radiotherapy (RT) for the treatment of stage III non-squamous non-small cell lung cancer (NSCLC). We aimed to determine if SII measured at the mid-treatment window for RT (weeks 3-4) is a significant predictor of survival, and if the effect of PEM vs. ETO differs by quartile (Q) level of SII. Hazard-ratios (HR) for survival were estimated using a proportional hazards model, accounting for the underlying correlated structure of the data. A total of 548 patients were included in our analysis. The median age at baseline was 59 years. Patients were followed for a median of 24 months. Adjusting for age, body mass index, sex, race, and chemotherapy regimen, SII was a significant mid-treatment predictor of both overall (adjusted HR (aHR) = 1.6, p < 0.0001; OS) and progression-free (aHR = 1.3, p = 0.0072; PFS) survival. Among patients with mid-RT SII values above the median (6.8), those receiving PEM (vs. ETO) had superior OS (p = 0.0002) and PFS (p = 0.0002). Our secondary analysis suggests that SII is an informative mid-treatment marker of OS and PFS in locally advanced non-squamous NSCLC.

Signification of Systemic Immune-Inflammation Index for prediction of prognosis after resecting in patients with colorectal cancer

PURPOSE

Systemic inflammatory response has been reported to be associated with prognosis in cancer patients. The aim of this study is to investigate the association between Systemic Immune-Inflammation Index (SII), a novel inflammation-based prognostic score and long-term outcomes among patients with colorectal cancer (CRC) after resection.

METHODS

We retrospectively investigated 733 patients who underwent resection for CRC between January 2010 and December 2014 at the Jikei University Hospital and explored the relationship between SII, calculated by multiplying the peripheral platelet count by neutrophil count and divided by lymphocyte count, and overall survival. In survival analyses, we conducted Cox proportional hazards models, adjusting potential confounders including TNM stage, serum CEA, serum CA 19-9, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and platelet count.

RESULTS

In multivariate analysis, age ≥ 65 years (p = 0.003), tumor location (p = 0.043), advanced TNM stage (p < 0.001), serum CA 19-9 > 37 mU/ml (p < 0.001), and SII (P for trend = 0.017) were independent and significant predictors of poor patient survival. Compared to patients with low SII, those with high and intermediate SII patients had poorer survival (Hazard ratio 2.48; 95% CI 1.31-4.69, Hazard ratio 1.65; 95% CI 0.83-3.27, respectively).

CONCLUSION

The Systemic Immune-Inflammation Index might be an independent and significant indicator of poor long-term outcomes in patients with CRC after resection.

Preoperative systemic immune-inflammation index and prognostic nutritional index predict prognosis of patients with pulmonary neuroendocrine tumors after surgical resection

Background

Pulmonary neuroendocrine tumors (PNETs) are a special subtype of lung cancer with treatment methods are limited and prognostic indicators are insufficient. The preoperative systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) are effective tumor biomarkers that have important significance for the prognosis of many malignant tumors. However, there is no similar research on the predictive value of SII and PNI for operable PNETs. Our study aimed to clarify the predictive value of SII and PNI in PNETs patients after surgical resection.

Methods

This study retrospectively analysed the relevant clinical data of PNETs patients who received surgical treatment from 2005 to 2015, which was obtained from patient's clinical records, blood test results recorded on admission before surgical treatment, and follow-up by hospital records.

Results

A total of 381 PNETs patients were enrolled in this study. Preoperative PNI was associated with age (P=0.001), T stage (P=0.001), tumor length (P=0.002), drinking status (P=0.013) and smoking status (P=0.049), while SII was significantly associated with T stage (P=0.001), tumor length (P=0.001) and TNM stage (P=0.001). There was significant difference between high SII and low PNI and worse OS of PENTs (P=0.001 and P<0.001). SII (P=0.002), neutrophil/lymphocyte ratio (NLR) (P<0.001), platelet/lymphocyte ratio (PLR) (P=0.001), lymph node metastasis (P<0.001), operation time (P=0.034<0.05), treatment (P<0.001) and PNI (P=0.044<0.05) were independent prognostic factors for PNETs identified by multivariate Cox regression analysis.

Conclusions

High SII and low PNI indicated poor prognosis of patients with PNETs. Both of SII and PNI can predict the prognosis of PNETs and stratify patients for better treatment.

A 5-microRNA signature identified from serum microRNA profiling predicts survival in patients with advanced stage non-small cell lung cancer

Circulating microRNAs (miRNAs) are potential biomarkers for cancer diagnosis, screening and prognosis. This study aimed to identify serum miRNAs as predictors of survival in patients with advanced non-small cell lung cancer (NSCLC). We profiled serum miRNAs in a pilot set of four patients with good survival (>24 months) and four patients with poor survival (<6 months). We selected 140 stably detectable miRNAs and 42 miRNAs reported in literature for further analysis. Expression of these 182 miRNAs was measured using high-throughput polymerase chain reaction assay, and their association with 3-year survival in the discovery (n = 345) and validation (n = 177) cohorts was assessed. Five serum miRNAs (miR-191, miR-28-3p, miR-145, miR-328 and miR-18a) were significantly associated with 3-year overall survival in both cohorts. A combined 5-miRNA risk score was created to assess the cumulative impact of these miRNAs on risk of death. Quartile analysis of the risk score showed significant association with 3-year death risk, with a 4.6-, 6.8- and 9.3-month reduction in median survival time for the second, third and fourth quartiles, respectively. Survival tree analysis also identified distinct risk groups with different 3-year survival durations. Data from The Cancer Genome Atlas revealed all five miRNAs were differentially expressed (P < 0.0001) in paired tumor and normal tissues. Pathway analysis indicated that target genes of these five miRNAs were mainly enriched in inflammatory/immune response pathways and pathways implicated in resistance to chemoradiotherapy and/or targeted therapy. Our results suggested that the 5-miRNA signature could serve as a prognostic predictor in patients with advanced NSCLC.

Predicting 5-Year Progression and Survival Outcomes for Early Stage Non-small Cell Lung Cancer Treated with Stereotactic Ablative Radiation Therapy: Development and Validation of Robust Prognostic Nomograms

PURPOSE

Our purpose was to develop predictive nomograms for overall survival (OS), progression-free survival (PFS), and time-to-progression (TTP) at 5 years in patients with early-stage non-small cell lung cancer (ES-NSCLC) treated with stereotactic ablative radiation therapy (SABR).

METHODS AND MATERIALS

The study cohort included 714 ES-NSCLC patients treated with SABR from 2004-2015 with median follow-up of 59 months, divided into training and testing sets (8:2), with the former used for nomogram development. The least absolute shrinkage and selection operator were initially employed to screen for predictors of OS, PFS, and TTP, and identified predictors were subsequently applied toward Cox proportional hazards regression modeling. Significant predictors (P < .05) on multivariable regression were then used to develop nomograms, which were validated via evaluation of concordance indexes (C-index) and calibration plots. Finally, Kaplan-Meier method and Gray's test were employed to compare and confirm differences in outcomes among various groups and explore prognostic factors associated with local versus distant disease progression.

RESULTS

Significant predictors of both OS and PFS at 5 years included age, sex, Charlson comorbidity index, diffusing capacity of carbon monoxide, systemic immune-inflammation index, and tumor size (P ≤ .01 for all). Eastern Cooperative Oncology Group performance status predicted for OS as well (P = .01), and both tumor size (P < .01) and minimum biological equivalent dose to 95% of planning target volume (PTV D95 BED₁₀; P < .01) were predictive of TTP. The C-indexes for the OS, PFS, and TTP nomograms were 0.73, 0.68, and 0.60 in the training data set and 0.72, 0.66, and 0.59 in the testing data set, respectively. Tumor size > 2.45 cm and PTV D95 BED₁₀ < 113 Gy were significantly associated with both local and distant progression.

CONCLUSIONS

These prognostic nomograms can accurately predict for OS, PFS, and TTP at 5 years after SABR for ES-NSCLC and may thus help identify high-risk patients who could benefit from additional systemic therapy.

Systemic immune-inflammation index as a prognostic marker in patients with newly diagnosed metastatic nasopharyngeal carcinoma: a propensity score-matched study

Background

Systemic immune-inflammation index (SII) is significantly associated with poor survival in variety of cancers. However, SII has not yet been investigated in patients with newly diagnosed metastatic nasopharyngeal carcinoma (mNPC). Thus, our aim is to explore the role of SII in metastatic Nasopharyngeal Carcinoma.

Methods

Two hundred and forty-three patients with newly diagnosed mNPC were retrospectively enrolled. The Kaplan-Meier analysis and Cox regression analysis was performed to evaluate the prognostic value of SII in overall survival (OS) and progression-free survival (PFS). Heterogeneity of factors was balanced by using propensity score-matched (PSM) analysis (1:1 for high SII versus low SII).

Results

Kaplan-Meier analysis showed that patients with high SII were associated with poor median OS (18.0 vs. 36.0 m, P<0.001) and PFS (10.0 vs. 22.0 m, P<0.001) in mNPC. The Cox regression analysis suggested that high SII was a prognostic factor for OS (HR 1.75, 95% CI: 1.22–2.52, P=0.001) and PFS (HR 1.69, 95% CI: 1.22–2.35, P=0.002). PSM analysis still confirmed that SII was an independent marker for OS (HR 1.86, 95% CI: 1.22–2.83, P=0.004) and PFS (HR 1.84, 95% CI: 1.23–2.77, P=0.003).

Conclusions

SII is an independent prognostic biomarker for poor OS and PFS in patients with newly diagnosed mNPC and might be a promising tool for guiding treatment strategy decisions.

Prognostic value of the pretreatment systemic immune-inflammation index (SII) in patients with non-small cell lung cancer: a meta-analysis

Background

The objective of this study is to explore the association between the pretreatment systemic immune-inflammation index (SII) and prognosis in non-small cell lung cancer (NSCLC) patients.

Methods

A systemic literature search of PubMed, EMBASE, the Web of Science, the Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang, VIP and SinoMed databases was performed from January 1, 1966 to April 15, 2019, to identify potential studies that assessed the prognostic role of the pretreatment SII in NSCLC. The hazard ratio (HR) and 95% confidence interval (CI) were combined to evaluate the correlation of the pretreatment SII with overall survival (OS), disease-free survival (DFS), progression-free survival (PFS) and cancer-specific survival (CSS) in NSCLC patients.

Results

A total of 9 studies involving 2,441 patients were eventually included. An elevated pretreatment SII indicated significantly poorer OS (HR =1.88, 95% CI: 1.50-2.36; P<0.001) with high heterogeneity (I²=60.6%, P=0.019), DFS/PFS (HR =2.50, 95% CI: 1.20-5.20; P=0.014) with high heterogeneity (I²=58.2%, P=0.092) and CSS (HR =1.852, 95% CI: 1.185-2.915; P=0.007). Subgroup analyses further verified the above results. In addition, compared with the neutrophil to lymphocyte ratio (NLR) and the platelet to lymphocyte ratio (PLR), the SII showed a much higher prognostic value in NSCLC.

Conclusions

The pretreatment SII may serve as a useful prognostic indicator in NSCLC and contribute to prognosis evaluation and treatment strategy formulation. However, more well-designed studies are warranted to verify our findings.

The predictive effect of the systemic immune-inflammation index for patients with small-cell lung cancer

Aim: The purpose of this study was to investigate the predictive power of the systemic immune inflammation index (SII) based on neutrophil (N), platelet (P) and lymphocyte (L) on the clinical outcomes of patients with SCLC. Patients & methods: Blood samples of 228 patients were obtained 1 week before treatment to measure the SII (SII = P × N/L). Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier curves and Cox regression models. Results: Higher SII was associated with poorer OS (p < 0.001) and poorer PFS (p < 0.001). Multivariable analyses further revealed SII as an independent prognostic factor for OS (p < 0.001) and PFS (p < 0.001). Conclusion: Pretreatment SII was a valuable prognostic factor for PFS and OS in SCLC patients.

High systemic immune-inflammation index predicts poor prognosis in advanced lung adenocarcinoma patients treated with EGFR-TKIs

EGFR-TKIs have been widely used in the first-line treatment of NSCLC patients harboring EGFR mutations. However, the prognosis indicators are limited. In the present study, the prognostic value of systemic immune-inflammation index (SII), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) were assessed in EGFR-Mutant lung adenocarcinoma patients treated with first-generation EGFR-TKIs. Two hundred three patients were included in this retrospective analysis. SII was calculated as platelet counts × neutrophil counts / lymphocyte counts. Receiver operating characteristic (ROC) curve was used to evaluate the optimal cut-off value for SII, NLR, and PLR. Univariate and multivariate survival analysis were performed to identify factors correlated with PFS and OS. Applying cut-offs of ≥1066.935 (SII), ≥4.40 (NLR), and ≥182.595 (PLR), higher NLR was associated with worse Eastern Cooperative Oncology Group performance status (ECOG PS) (P = .006), and higher brain metastasis rate (P = .03), higher PLR was associated with smoking history (P = .037), and worse ECOG PS (P = .001), and higher SII groups were associated with worse ECOG PS (P = .002). In univariate analysis, higher NLR (P < .001), higher PLR (P = .002), and higher SII (P < .001) were associated with worse PFS. Higher NLR (P < .001), and higher SII (P < .001) were associated with worse OS. In multivariate analysis, NLR (HR 1.736;95%CI:1.020-2.954; P = .03), PLR (HR 1.823; 95%CI:1.059-3.137; P = .04), and SII (HR2.577; 95%CI:1.677-3.958; P < .001) were independently correlated with PFS. While only SII (HR 2.802; 95%CI:1.659-4.733; P < .001) was independently correlated with OS. The present study demonstrated that SII is an independent prognostic factor for poor survival of advanced EGFR-Mutant lung adenocarcinoma patients treated with first-generation TKIs.

Neutrophil-to-lymphocyte ratio is superior to platelet-to-lymphocyte ratio as a prognostic predictor in advanced non-small-cell lung cancer treated with first-line platinum-based chemotherapy

Aim: We aimed to investigate the prognostic impact of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in advanced non-small-cell lung cancer treated with first-line platinum-based chemotherapy and determine which of the two was a better predictor of prognosis. Materials & methods: We conducted multivariate Cox regression analysis to assess the independent effects of the NLR and PLR on patient survival. Results: In multivariate Cox regression analysis, the NLR was an independent risk factor predicting poor prognostic factor (HR: 2.464; 95% CI: 1.305–4.652; p = 0.005) and overall survival (HR: 1.954; 95% CI: 1.172–3.257; p = 0.01); however, the PLR was not a prognostic factor (progression-free survival; p = 0.105; overall survival; p = 0.239). Conclusion: The NLR was a better prognostic indicator than the PLR for advanced non-small-cell lung cancer treated with first-line platinum-based chemotherapy.

Systemic immune-inflammation index is a promising noninvasive marker to predict survival of lung cancer: A meta-analysis

BACKGROUND

The prognostic value of pretreatment systemic immune-inflammation index (SII) in lung cancer has yet to be fully established.

METHODS

Relevant articles were obtained by performing a systematic search. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were used to assess the relationship between SII index and overall survival (OS) in lung cancer; the OS was calculated from the time of cancer diagnosis to the date of death due to any cause or to the last date of follow-up.

RESULTS

In total, 2786 patients with lung cancer from 7 studies were included in this meta-analysis. The median thresholds to define high SII was 640 (range 395.4-1600) in the analyzed studies. The pooled HR for OS was 1.77 (95% CI: 1.54-2.00, P < .001), suggesting that the patients with a high SII score had a worse OS. In addition, results from subgroup meta-analysis showed the significant prognostic significance of SII in lung cancer. Especially, the predictive value of SII was significant in the multivariable model for NSCLC (HR: 1.97, 95% CI: 1.69-2.25, P < .001; 5 studies, 1746 patients), and SCLC (HR: 1.38, 95% CI: 1.02-1.85, P < .001; 1 study, 919 patients).

CONCLUSION

Our data suggest that high SII index indicates poor survival rate in lung cancer. Further researches are warranted to verify the significance of SII index in clinical practice.