Prognostic capacity of Systemic Inflammation Response Index (SIRI) in patients with head and neck squamous cell carcinoma

Assessment of Preoperative Systemic Inflammation Response Index in Surgically Treated Young Head and Neck Cancer Patients Under 40

OBJECTIVES

To assess the prognosis of young patients (≤40 years old) with head and neck squamous cell carcinoma (HNSCC), focusing on the preoperative Systemic Inflammation Response Index (SIRI).

METHODS

Between January 2007 and February 2017, 175 young patients with HNSCC (≤40 years old) who underwent radical surgery were retrospectively enrolled in this study. The patients were randomly divided into a training cohort (N = 131) and a validation cohort (N = 44). The SIRI is defined as the absolute neutrophil count (×10⁹/L) multiplied by the absolute monocyte count (×10⁹/L), divided by the absolute lymphocyte count (×10⁹/L) in peripheral blood, all measured within one week prior to radical surgery. Univariate and multivariate Cox regression analyses were conducted to identify variables associated with survival outcomes, which were then used to construct and evaluate a predictive nomogram.

RESULTS

In both the training and validation cohorts, patients were classified into low- and high-SIRI groups based on a cutoff value of 0.87, which was determined by receiver operating characteristic analysis. This SIRI cutoff effectively stratified patients into two distinct prognostic groups with significant survival differences. Multivariable Cox analysis identified the presence of lymphovascular invasion and the high preoperative SIRI as significant independent prognostic factors associated with poorer cancer-specific survival (CSS) in young patients with HNSCC. Using these variables, a predictive model for 5 year CSS was constructed and visualized as a nomogram. The model demonstrated strong predictive performance, with a C-index of 0.744 [95% CI (0.643-0.845)] in the training cohort and 0.839 [95% CI (0.740-0.938)] in the validation cohort.

CONCLUSION

Data from preoperative SIRI assessment, coupled with the presence of pathological adverse features, serve as valuable references for risk stratification in young patients with HNSCC.

Interaction of nutritional and inflammatory levels on all-cause mortality among individuals with rheumatoid arthritis: a prospective cohort study

BACKGROUND

Malnutrition and systemic inflammation are frequently prevalent in individuals with rheumatoid arthritis (RA). However, limited studies have explored the combined impacts of nutritional and inflammatory levels on all-cause mortality among RA. This study is aimed at investigating these potential associations.

METHODS

We involved 2213 RA patients from the National Health and Nutrition Examination Survey (2001-2018). Nutritional risk index (NRI) and systemic inflammatory response index (SIRI) were used to evaluate the nutritional and inflammatory status of participants, respectively. Weight-based Kaplan-Meier survival curves and COX proportional hazard models were employed to ascertain the independent and joint association.

RESULTS

Over a median follow-up of 7.98 years, 544 deaths occurred. Following the adjustment for confounding factors, we found that individuals with moderate/severe malnutrition (HR, 2.13; 95%CI, 1.50-3.03) or high SIRI (HR, 1.49; 95%CI, 1.07-2.07) were independently associated with an increased risk of all-cause mortality. Furthermore, the simultaneous moderate/severe malnutrition and high SIRI further elevated the mortality risk (HR, 2.34; 95%CI, 1.53-3.56). An additive interaction was observed between malnutrition and high SIRI, yielding an excess risk of 0.34 (95%CI 0.06-0.62, P = 0.014), and the attributable proportion for the interaction was 20.9% (95%CI 7.6-34.2%).

CONCLUSIONS

This research indicated that malnutrition and high systemic inflammation levels were independent risk factors for the prognosis of RA patients, and co-occurrence can further deteriorate the prognosis. Our findings highlight the importance of maintaining nutrition and anti-inflammation in patients with RA, providing new insights into the prognosis of RA patients.

The association between eight complete blood count-derived inflammatory markers and muscle health

Background

Most studies have evaluated sarcopenia and muscle health solely based on muscle mass. This study comprehensively examined the associations between eight inflammatory indicators and muscle mass and strength, with the aim of identifying an indicator capable of evaluating muscle health across multiple dimensions.

Methods

This study included 10,440 participants from the National Health and Nutrition Examination Survey (NHANES, 2011-2018) and 5,384 participants from NHANES (2011-2014). Multivariate logistic regression, smooth curve fitting, restricted cubic spline (RCS) analysis, subgroup analysis, and Spearman's correlation were used to comprehensively assess the associations between the eight inflammatory indicators and muscle mass and strength. Receiver operating characteristic (ROC) curves were used to compare the predictive abilities of the different indices for low muscle mass and muscle strength. Additionally, NHANES data were cross-validated with data from 554 patients at our hospital to evaluate the ability of the systemic immune inflammatory index (SII) to distinguish between low muscle mass and strength.

Results

After controlling for all potential confounding factors, multiple logistic regression analysis revealed that apart from the platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and derived NLR (dNLR), the neutrophil-to-monocyte-plus-lymphocyte ratio (NMLR), neutrophil-to-lymphocyte ratio (NLR), SII, systemic inflammation response index (SIRI), and pan-immune-inflammation value (PIV) were significantly negatively correlated with muscle mass and strength. However, NMLR and NLR were significantly associated with changes in muscle mass only in Q4 (P < 0.05). In the stratified analysis by body mass index (BMI), only the SII, NLR, and NMLR were unaffected by BMI. In the cross-validation, the predictive performance of the SII for low muscle mass [area under the curve (AUC) = 0.699, 0.677, and 0.685] and low muscle strength (AUC = 0.857, 0.849, and 0.840) demonstrated a good reference value. RCS and smooth curve fitting analyses indicated that most inflammatory markers were linearly correlated with muscle health (P < 0.05).

Conclusion

Compared with other inflammatory markers (e.g., PIV and dNLR), the SII demonstrated a more robust predictive ability, was less influence by covariates, and exhibited high generalization performance in internal and external validation. SII may be crucial in identifying "hidden sarcopenia" and the early stages of muscle functional decline.

High systemic inflammation response index (SIRI) level as a prognostic factor for colorectal cancer patients after curative surgery: a single-center retrospective analysis

The Systemic Inflammation Response Index (SIRI), a marker used to assess systemic inflammation, is associated with lower patient survival rates in various cancer types. Factors contributing to the recurrence of colorectal cancer (CRC) have been examined previously using the preoperative SIRI. Herein, we investigated the association between the preoperative SIRI level and both the recurrence-free survival (RFS) and overall survival (OS) in patients diagnosed with CRC. We retrospectively analyzed the case of 406 patients who underwent curative surgery for Stage I-III CRC at a single institution during 2012- 2017. Based on their SIRI levels, we categorized the patients into a low-SIRI group (≤ 1700) and a high-SIRI group (> 1700). Multivariable analyses revealed that a high-SIRI level was an independent risk factor for 5-year RFS (p = 0.045) and OS (p = 0.048) in CRC patients. A Kaplan-Meier analysis demonstrated significantly poorer 5-year RFS and OS outcomes in the high-SIRI group compared to the low-SIRI group (p = 0.0001, p = 0.017 respectively). These findings suggest that the high-SIRI level is significantly associated with a poorer prognosis in patients diagnosed with CRC.

Development of machine learning models to predict papillary carcinoma in thyroid nodules: The role of immunological, radiologic, cytologic and radiomic features

OBJECTIVE

Approximately 30 % of thyroid nodules yield an indeterminate diagnosis through conventional diagnostic strategies. The aim of this study was to develop machine learning (ML) models capable of identifying papillary thyroid carcinomas using preoperative variables.

METHODS

Patients with thyroid nodules undergoing thyroid surgery were enrolled in a retrospective monocentric study. Six 2-class supervised ML models were developed to predict papillary thyroid carcinoma, by sequentially incorporating clinical-immunological, ultrasonographic, cytological, and radiomic variables.

RESULTS

Out of 186 patients, 92 nodules (49.5 %) were papillary thyroid carcinomas in the histological report. The Area Under the Curve (AUC) ranged from 0.41 to 0.61 using only clinical-immunological variables. All ML models exhibited an increased performance when ultrasound variables were included (AUC: 0.95-0.97). The addition of cytological (AUC: 0.86-0.97) and radiomic (AUC: 0.88-0.97) variables did not further improve ML models' performance.

CONCLUSION

ML algorithms demonstrated low accuracy when trained with clinical-immunological data. However, the inclusion of radiological data significantly improved the models' performance, while cytopathological and radiomics data did not further improve the accuracy.

LEVEL OF EVIDENCE

Level 4.

Systemic Immune-Inflammation Index and Systemic Inflammation Response Index are Associated With Periodontitis: Evidence From NHANES 2009 to 2014

INTRODUCTION AND AIMS

Periodontitis, a chronic inflammatory condition affecting the supporting structures of the teeth, is a substantial public health burrden whilst impacting the life quality of those affected. Elevated levels of systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) have been implicated in various inflammatory conditions. This study aimed to investigate the relationship between SII and SIRI with periodontitis.

METHODS

The study examined a total of 8666 participants in the 2009 to 2014 National Health and Nutrition Examination Survey (NHANES). The study compared the weighted prevalence of periodontitis among various groups. The association between SII, SIRI levels, and periodontitis was analyzed using binary logistic regression. Additionally, we explored nonlinear relationships between SII, SIRI, and the prevalence of periodontitis using restricted cubic spline (RCS) plots.

RESULTS

Among participants in the fourth quartile (Q4) of SII and SIRI, the highest prevalence of periodontitis was observed, with rates of 44.87% and 48.41%, respectively. After adjusting for all covariates, the odds ratio (OR) for periodontitis associated with SII Q4 was 1.19 (95% CI 1.02, 1.39, P = .03), while for SIRI Q4, it was 1.18 (95% CI 1.01, 1.39, P = .04). In addition, the results of sensitivity analysis revealed consistent findings, indicating that after adjusting for all covariates, the OR for periodontitis associated with SII Q4 and SIRI Q4 remained statistically significant. Specifically, the OR for periodontitis associated with SII Q4 was 1.19 (95% CI 1.02, 1.39, P = .03), while for SIRI Q4, it was 1.19 (95% CI 1.01, 1.40, P = .04).

CONCLUSIONS

These results indicate that elevated SII and SIRI levels are associated with an increased prevalence of periodontitis.

CLINICAL RELEVANCE

These findings suggest a potential connection between systemic inflammation and periodontitis, highlighting the importance of periodontitis patients being aware of their systemic diseases that are inflammatory in nature such as chronic cardiovascular afflictions.

Host-related indexes in head and neck cancer

PURPOSE OF REVIEW

Peripheral blood host-related indexes have been widely studied in cancer patients. Several authors have shown the prognostic capacity of these indexes in head and neck cancer. Therefore, there has been an increasing interest in this topic recently.

RECENT FINDINGS

The main variables analyzed and used to create these host-related indexes are peripheral blood leukocytes - including neutrophils, monocytes and lymphocytes - albumin and hemoglobin levels. Other factors with proven prognostic capacity in some studies are: platelets, C-reactive protein, and BMI. Among all the combined indexes, the neutrophil-to-lymphocyte ratio has been the most accepted and used worldwide. Nonetheless, there are other indexes which group multiple of these factors that have shown better prognostic capacity, and are promising in the near future.

SUMMARY

Host-related indexes are ideal biomarkers to be used on our daily-basis. There is enough evidence to start considering them when assessing patients with head and neck cancer.

Prognostic value of preoperative inflammatory ratios in early glottic cancer treated with transoral laser surgery

BACKGROUND

There is growing evidence regarding the prognostic utility of ratios such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammatory index (SIII) in head and neck squamous cell carcinoma (HNSCC). However, most studies to date include heterogeneous series with different treatments or tumor subsites.

METHODS

We collected data from 201 patients with stage I-II glottic squamous cell carcinoma treated with transoral laser surgery. NLR, PLR, and SIII were calculated from preoperative cell blood count, cut-off points were obtained by ROC curve analysis, and survival rates were calculated.

RESULTS

High NLR (p = 0.012) and SIII (p = 0.037), but not PLR (p = 0.48), were associated with worse disease-specific survival (DSS). A similar trend was observed with overall survival (OS), although it did not reach statistical significance. On multivariable analyses, both high NLR (HR = 3.8, 95% CI = 1.5-9.9, p = 0.006) and high SIII (HR = 2.77, 95% CI = 1.1-6.9, p = 0.03) were significantly associated with shortened DSS.

CONCLUSIONS

Preoperative NLR and SIII emerge as independent prognostic biomarkers for early-stage surgically treated glottic tumors and could guide individualized follow-up.

Predictive effect of the systemic inflammation response index (SIRI) on the efficacy and prognosis of neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer

BACKGROUND

Inflammation is a part of tumours, and inflammatory cells can affect the proliferation, invasion, and development of tumour cells. An increasing number of peripheral blood inflammatory markers have been found to play very important roles in the treatment and prognosis of cancer patients. The systemic inflammatory response index (SIRI) is a newer inflammatory marker, and its role in colorectal cancer, especially in locally advanced rectal cancer, is still unclear.

METHODS

From 2015 to 2020, 198 patients with locally advanced rectal cancer (LARC) who underwent surgery following neoadjuvant chemoradiotherapy (Neo-CRT) were analysed. Patients were categorized into good- and poor- response groups according to their pathological results, and clinical characteristics and baseline parameters were compared between the two groups. The optimal cutoff values for inflammatory indicators were determined using receiver operating characteristic (ROC) analysis. Univariate and multivariate analyses were performed using the Cox proportional hazard model. Survival analysis was performed via the Kaplan‒Meier method.

RESULTS

After patients were grouped into good and poor response groups, indicator differences were found in CEA, neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and SIRI. According to the ROC analysis, the NLR (P = 0.015), SII (P = 0.001), and SIRI (P = 0.029) were significant prognostic factors. After univariate and multivariate analyses of the Cox proportional hazards regression model, only the SIRI was found to be an independent prognostic factor for overall survival (OS) and disease-free survival (DFS). Finally, Kaplan‒Meier survival curves also confirmed the ability of the SIRI to predict survival.

CONCLUSION

The preoperative SIRI can be used to predict the response to Neo-CRT in LARC patients and is an independent predictor of OS and DFS in postoperative patients. A high SIRI was associated with poor radiotherapy response and predicted poor OS and DFS.

Prognostic capacity of PIV (pan-immune-inflammation value) in patients with head and neck squamous cell carcinoma

INTRODUCTION

The pan-immune-inflammation value (PIV), an index that results from the following ratio: (neutrophils × monocytes × platelets)/lymphocytes, has been proposed as a prognostic biomarker in different tumour models. The aim of this study is to analyse the prognostic capacity of PIV in patients with head and neck squamous cell carcinoma (HNSCC).

PATIENTS AND METHODS

Retrospective study of 1187 patients with HNSCC treated at our centre between 2000-2017. PIV value was obtained from an analysis performed within 3 weeks prior to the start of treatment.

RESULTS

PIV value was significantly associated with toxic consumption (0.001), tumour location (0.0001), tumour extension (0.0001), and histological grade (0.016). Four categories were defined based on PIV value using a recursive partitioning analysis: category I: PIV < 136.3 (n = 118, 9.9%), category II: PIV 136.3-451.1 (n = 594, 50.0%), category III: PIV 451.1-1,141.2 (n = 357, 30.1%), and category IV: PIV > 1141.2 (n = 118, 9.9%). A significant and ordered decrease in disease-specific survival was observed as the PIV category increased. This decrease in survival was independent of the type of treatment, tumour extension, or location of the primary tumour. The PIV category was and independent prognostic factor of disease-specific survival in a multivariable study.

CONCLUSIONS

PIV is a prognostic biomarker in patients with HNSCC.

Predictive value of systemic inflammatory response-related indices for survival in tongue cancer

OBJECTIVES

We assessed the potential prognostic significance of the preoperative systemic inflammation index, platelet-to-lymphocyte ratio, and neutrophil-to-lymphocyte ratio in patients who underwent surgical resection.

SUBJECTS AND METHODS

This retrospective study included 224 patients with clinicopathologically confirmed squamous carcinoma of the tongue who underwent surgery between August 2009 and December 2017. The optimal cut-off values for the indices were determined by receiver operating characteristic curves. Correlations between the indices and clinicopathological variables were determined by Pearson chi-square or Fisher exact tests. The Kaplan-Meier test was used to compare overall survival between groups (high and low values); the log-rank or Breslow test was used to assess differences in survival. Univariate and multivariate Cox regression models were used to analyze predictive values of the indices as independent indicators of overall survival. Bilateral p values of <0.05 were considered statistically significant.

RESULTS

Significant association was found between the indices and sex, tissue grade, tumor location, and lymph nodes metastases (p < 0.05). On Kaplan-Meier analysis, patients with lower values of the indices had longer overall survival (p < 0.05). Univariate and multivariate Cox regression models identified age, lymph node metastases, and neutrophil-to-lymphocyte ratio as independent predictors of overall survival.

CONCLUSION

The studied indices have potential prognostic significance in patients with squamous tongue cancer.

A predictive survival model for patients with stage IV oropharyngeal squamous cell carcinoma treated with chemoradiation

PURPOSE

To evaluate the pre-treatment and post-treatment clinical factors associated with rate of survival at 1, 3, and 5 years in stage IV oropharyngeal cancer patients treated with concurrent chemoradiation with/without neoadjuvant chemotherapy.

METHODS

This retrospective cohort study involved 128 Stage IV oropharyngeal cancer patients that were treated at our tertiary referral center between 2008 and 2020. The pre-treatment and post-treatment clinical parameters including nutritional status and inflammatory markers were retrospectively reviewed.

RESULTS

The 5-year overall survival rate for all patients was 36.72%. The disease-specific survival (DSS) at 1-year and 3-year were 80% and 63%, whereas the disease-free survival (DFS) at 1-year and 3-year were 49% and 40%, respectively. In multivariate analyses, pretreatment hemoglobin (Hb) < 12 g/dL (hazard ratio [HR] 2.551, 95% confidence interval [CI] 1.366-4.762, p = 0.003), pretreatment systemic immune inflammation (SII) ≥ 1751 (HR 2.173, 95% CI 1.015-4.652, p = 0.046), and posttreatment systemic inflammation response index (SIRI) ≥ 261 (HR 2.074, 95% CI 1.045-4.115, p = 0.037) were independent indicators for worsened DSS. Pretreatment Hb < 12 g/dl (HR 1.692, 95% CI 1.019-2.809, p = 0.032), pretreatment SII ≥ 1751 (HR 1.968, 95% CI 1.061-3.650, p = 0.032), and posttreatment SII ≥ 1690 (HR 1.922, 95% CI 1.105-3.345, p = 0.021) were independent indicators for worsened DFS. A nomogram was developed using pretreatment Hb, pretreatment SII, and posttreatment SIRI to forecast DSS.

CONCLUSIONS

The pretreatment Hb, pretreatment SII, posttreatment SII, and posttreatment SIRI are associated with survival in patients with stage IV oropharyngeal cancers. The developed nomogram aids in survival prediction and treatment adjustment.

Prognostic utility of neutrophil-to-albumin ratio in surgically treated oral squamous cell carcinoma

BACKGROUND

We aimed to evaluate the prognostic significance of preoperative neutrophil-to-albumin ratio (NAR) in oral squamous cell carcinoma (OSCC).

METHODS

A total of 622 patients with surgically treated OSCC were enrolled. NAR was defined as the absolute neutrophil count divided by the serum albumin level in peripheral blood before the radical surgery. Cox proportional hazards model were used to discover survival outcome-associated factors.

RESULTS

The optimal cut-off of NAR to predict overall survival (OS) was determined to be 0.1. In Cox model, high NAR was identified as an independent negative prognosticator of OS, cancer-specific survival, and recurrence-free survival (adjusted hazard ratio: 1.503, 1.958, and 1.727, respectively; all p < 0.05). The NAR-based nomogram accurately predicted OS (concordance index: 0.750).

CONCLUSION

Our study suggests that preoperative NAR is a convenient and effective prognostic marker for OSCC and NAR-based nomogram can be a promising prognostic tool in clinical setting.

Prognostic value of systemic inflammation response index in hepatoblastoma patients receiving preoperative neoadjuvant chemotherapy

Introduction

Inflammation is closely associated with tumor development and patient prognosis. The objective of this study is to assess the prognostic value of the preoperative inflammatory indexes in pediatric hepatoblastoma patients who receive neoadjuvant chemotherapy.

Methods

A retrospective analysis was performed on clinical and pathological data of 199 hepatoblastoma patients who underwent hepatectomy with preoperative neoadjuvant chemotherapy from January 2015 to June 2020. The receiver operating characteristic curve was used to evaluate the prognostic value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) in predicting OS and EFS. Patients were grouped based on optimal cutoff values of preoperative inflammatory indexes. Survival rates were calculated using the Kaplan-Meier method, and survival outcomes were compared between groups using the log-rank test. Univariate and multivariate Cox proportional hazards regression models were used to identify independent prognostic factors, and a nomogram was constructed using R software to predict the probability of OS.

Results

The receiver operating characteristic curve showed prognostic value for OS, not EFS, in preoperative inflammatory indexes. Patients were categorized into low/high groups: SII ≤ 266.70/higher, NLR ≤ 1.24/higher, PLR ≤ 85.25/higher, and SIRI ≤ 0.72/higher. High NLR, PLR, SII, and SIRI groups had significantly lower 5-year OS than their low counterparts (all p-value < 0.05). The Cox analysis identified four independent prognostic factors: SIRI (HR=2.997, 95% CI: 1.119-8.031), microvascular invasion (HR=2.556, 95% CI: 1.14-5.73), the post-treatment extent of disease (POSTTEXT) staging (IV vs. I: HR=244.204, 95% CI:11.306-5274.556), and alpha-fetoprotein (>100 ng/ml: HR=0.11, 95% CI: 0.032-0.381) for hepatoblastoma patients with neoadjuvant chemotherapy. High SIRI group had more patients with adverse NLR, SII, and POSTTEXT III (all p-value < 0.05). Independent prognostic factors led to an OS nomogram with a concordance index of 0.85 (95% CI: 0.78-0.91, p-value = 1.43e-27) and the calibration curve showed a good fit between the prediction curve and the true curve.

Conclusions

SIRI is an independent prognostic factor of hepatoblastoma patients receiving neoadjuvant chemotherapy. The OS nomogram based on SIRI, POSTTEXT staging, MiVI, and AFP can be used to assess the prognosis of those patients.

A nomogram for distinguishing benign and malignant parotid gland tumors using clinical data and preoperative blood markers: development and validation

PURPOSE

This study aimed to construct and validate a nomogram that incorporated clinical data and preoperative blood markers to differentiate BPGTs from MPGTs more efficiently and at low cost.

METHODS

We retrospectively analyzed patients who underwent parotidectomy and histopathological diagnosis at the First Affiliated Hospital of Guangxi Medical University from January 2013 to June 2022. Subjects were randomly divided into training and validation sets with a 7:3 ratio. In the training set, the least absolute shrinkage and selection operator (LASSO) regression analysis was performed to select the most relevant features from 19 variables and built a nomogram using logistic regression. We evaluated the model's performance using receiver-operating characteristic (ROC) curves, calibration curves, clinical decision curve analysis (DCA), and clinical impact curve analysis (CICA).

RESULTS

The final sample consisted of 644 patients, of whom 108 (16.77%) had MPGTs. The nomogram included four features: current smoking status, pain/tenderness, peripheral facial paralysis, and lymphocyte-to-monocyte ratio (LMR). The optimal cut-off value for the nomogram was 0.17. The areas under the ROC curves (AUCs) of the nomogram were 0.748 (95% confidence interval [CI] = 0.689-0.807) and 0.754 (95% CI = 0.636-0.872) in the training and validation sets, respectively. The nomogram also showed good calibration, high accuracy, moderate sensitivity, and acceptable specificity in both sets. The DCA and CICA demonstrated that the nomogram had significant net benefits for a wide range of threshold probabilities (0.06-0.88 for the training set; 0.06-0.57 and 0.73-0.95 for the validation set).

CONCLUSION

The nomogram based on clinical characteristics and preoperative blood markers was a reliable tool for discriminating BPGTs from MPGTs preoperatively.

Association of inflammatory markers with all-cause mortality and cardiovascular mortality in postmenopausal women with osteoporosis or osteopenia

BACKGROUND

The objective of the present study was to investigate whether associations exist between inflammatory biomarkers and all-cause mortality and cardiovascular disease (CVD) mortality in women with postmenopausal osteoporosis (PMOP) or osteopenia.

METHODS

In this retrospective cohort study, data were obtained from the National Health and Nutrition Examination Survey database from the years 2007 to 2010, 2013 to 2014, and 2017 to 2018. The inflammatory biomarkers including neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), neutrophil × platelet/lymphocyte (SII), neutrophil × monocyte/lymphocyte (SIRI), and neutrophil × monocyte × platelet/lymphocyte ratio (AISI) were calculated.

RESULTS

A total of 2,834 women were included, with a median survival of 113.51 (3.15) months. During follow-up, 602 women died of all-cause mortality and 185 women died of CVD. NLR, MLR, SIRI, and AISI were significantly associated with all-cause mortality in postmenopausal women with osteoporosis or osteopenia. NLR, MLR, SIRI, and AISI were related to CVD mortality in postmenopausal women with osteoporosis or osteopenia (All P < 0.05). Based on the results of the subgroup analysis, AISI, SIRI, and MLR were associated with all-cause mortality and CVD mortality in postmenopausal women with PMOP or osteopenia who had a history of CVD and diabetes. AISI, SII, MLR, and NLR were associated with all-cause mortality and CVD mortality in PMOP or osteopenia women with a body mass index (BMI) > 25 kg/m2. PLR was associated with all-cause mortality in PMOP or osteopenia women aged ≥ 65 years.

CONCLUSION

Inflammatory biomarkers were correlated with mortality risk in the PMOP or osteopenia population. This finding may be helpful for the prognosis management of PMOP or osteopenia in postmenopausal women.

An S-like curve relationship between systemic inflammation response index (SIRI) and respiratory failure in GBS patients

BACKGROUND

Our study examined the association between the initial systemic inflammation response index (SIRI) and respiratory failure in patients with Guillain-Barré syndrome (GBS).

METHODS

The weighted linear regression model, weighted chi-square test, logistic regression models, smooth curve fittings, and the two-piece linear regression model were utilized for data analysis.

RESULTS

Among the 443 GBS patients, 75 (6.9%) had experienced respiratory failure. According to logistic regression models, there existed no consistent linear relationship between respiratory failure and SIRI in model 1 (OR = 1.2, p < 0.001), model 2 (OR = 1.2, p < 0.001), and model 3 (OR = 1.3, p = 0.017). However, smooth curve fittings found an S-like curve relationship between SIRI and respiratory failure. Furthermore, when SIRI was < 6.4, there existed a positive correlation between SIRI and respiratory failure in model 1 (OR = 1.5, 95% CI = (1.3, 1.8), p < 0.0001), higher correlation in model 2 (OR = 1.6, 95% CI = (1.3, 1.8), p < 0.0001), and highest correlation in model 3 (OR = 1.6, 95% CI = (1.3, 2.5), p < 0.0001).

CONCLUSIONS

SIRI can be used as a predictor of respiratory failure in GBS, and an S-like relationship exists between SIRI and respiratory failure at an infliction point of 6.4. When the SIRI was less than 6.4 and increased, SIRI was associated with a higher occurrence of respiratory failure. The risk of respiratory failure was no longer increased when the SIRI was over 6.4.

Prognostic significance of the systemic inflammation response index in gastrointestinal malignancy patients: a pooled analysis of 10,091 participants

Background: We performed a meta-analysis to investigate the association of the systemic inflammation response index (SIRI) with long-term survival outcomes in patients with gastrointestinal malignancy. Methods: PubMed, Web of Science and Embase were searched for relevant studies evaluating the prognostic significance of the SIRI in gastrointestinal malignancies until May 2023. Results: 30 studies with 10,091 patients were included. The pooled results identified that patients in the high SIRI group had a worse overall survival and disease-free survival, which was observed across various tumor types, tumor stages and primary treatments. Conclusion: An elevated SIRI is negatively associated with worse survival outcomes of gastrointestinal malignancy patients and can be used as a risk stratification index for gastrointestinal malignancies.

The role of systemic inflammatory response index (SIRI) and tumor-infiltrating lymphocytes (TILs) in the prognosis of patients with laryngeal squamous cell carcinoma

OBJECTIVE

Systemic inflammatory response index (SIRI) values and tumor-infiltrating lymphocytes (TILs) are associated with the prognosis of various tumors. There is minimal evidence of those two as prognostic markers in laryngeal squamous cell carcinoma (LSCC). In this study, we aimed to examine the predictive value of SIRI and tumor-infiltrating CD3+/CD4+/CD8+ T cells in the prognosis of patients who underwent partial or total laryngectomy.

STUDY DESIGN

A total of 78 patients with LSCC who underwent total or partial laryngectomy at the Eye, Ear, Nose, and Throat Hospital of Fudan University between 2013 and 2015 were retrospectively analyzed.

METHODS

The tumor tissues of 78 LSCC patients were retrospectively evaluated using immunohistochemical staining for CD3+ /CD4+ /CD8+ -cells. The overall survival (OS) and disease-free survival (DFS) rates were recorded using the Kaplan-Meier method.

RESULTS

Patients with high immunoscore (IS) (3-4) had prolonged survival (P < 0.001 for OS). High SIRI values were independently associated with poorer OS and DFS (P = 0.018 for OS; P = 0.016 for DFS). CD8+ TILs and SIRI values showed a- negative association (P < 0.01). Patients with low SIRI values and high IS had better 5-year OS and DFS than those with high SIRI values and low IS (P < 0.001 for OS; P = 0.0014 for DFS). Patients with 'hot' tumor had a higher 5-year OS than those with 'excluded' or 'cold' phenotype.

CONCLUSIONS

The SIRI values and the density of TILs may help predict LSCC patients' outcomes after surgery. The combination of SIRI and IS may be a new component of the tumor, nodes, and metastases (TNM) classification of cancer and prognostic factor for T-cell-target immunotherapy.

Prognostic value of the systemic immune-inflammation index, systemic inflammation response index, and prognostic nutritional index in head and neck cancer

PURPOSE

This study sought to investigate the prognostic value of the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and prognostic nutritional index (PNI) in patients with head and neck cancer.

METHODS

The data of 310 patients with head and neck cancer who were referred to the Radiation Oncology Clinic of Sivas Cumhuriyet University Faculty of Medicine (n = 271, 87%) and to S.B.U. Dr. Abdurrahman Yurtaslan Ankara Oncology Health Practice and Research Centre (n = 39, 13%) between January 2009 and March 2020 were retrospectively analysed. At the time of diagnosis, patients' neutrophil, lymphocyte, monocyte, platelet and albumin levels were used to calculate their SII, SIRI and PNI indices.

RESULTS

Multivariate analysis found the after variables to be independent prognostic factors for overall survival (OS): SII [hazard ratio (HR) 1.71, 95% confidence interval (CI) 1.18-2.47; p = 0.002] and PNI (HR 0.66, 95% CI 0.43-0.97; p = 0.038), stage (HR 2.11, 95% CI 1.07-4.16; p = 0.030), fraction technique (HR 0.49, 95% CI 0.28-0.85; p = 0.011) and age (HR 2.51, 95% CI 1.77-3.57; p = 0.001).The following variables were found to be independent prognostic factors for disease-free survival (DFS) in multivariate analysis: SII (HR 2.16, 95% CI 1.22-3.83; p = 0.008), fractionation technique (HR 0.17, 95% CI 0.004-0.64; p = 0.017) and age (HR 2.11, 95% CI 1.13-3.93; p = 0.019).

CONCLUSION

This study found a high SII to be an independent poor prognostic factor for both OS and DFS, while a low PNI was found to be an independent poor prognostic factor only for OS.

Prognostic models for upper urinary tract urothelial carcinoma patients after radical nephroureterectomy based on a novel systemic immune-inflammation score with machine learning

PURPOSE

This study aimed to evaluate the clinical significance of a novel systemic immune-inflammation score (SIIS) to predict oncological outcomes in upper urinary tract urothelial carcinoma(UTUC) after radical nephroureterectomy(RNU).

METHOD

The clinical data of 483 patients with nonmetastatic UTUC underwent surgery in our center were analyzed. Five inflammation-related biomarkers were screened in the Lasso-Cox model and then aggregated to generate the SIIS based on the regression coefficients. Overall survival (OS) was assessed using Kaplan-Meier analyses. The Cox proportional hazards regression and random survival forest model were adopted to build the prognostic model. Then we established an effective nomogram for UTUC after RNU based on SIIS. The discrimination and calibration of the nomogram were evaluated using the concordance index (C-index), area under the time-dependent receiver operating characteristic curve (time-dependent AUC), and calibration curves. Decision curve analysis (DCA) was used to assess the net benefits of the nomogram at different threshold probabilities.

RESULT

According to the median value SIIS computed by the lasso Cox model, the high-risk group had worse OS (p<0.0001) than low risk-group. Variables with a minimum depth greater than the depth threshold or negative variable importance were excluded, and the remaining six variables were included in the model. The area under the ROC curve (AUROC) of the Cox and random survival forest models were 0.801 and 0.872 for OS at five years, respectively. Multivariate Cox analysis showed that elevated SIIS was significantly associated with poorer OS (p<0.001). In terms of predicting overall survival, a nomogram that considered the SIIS and clinical prognostic factors performed better than the AJCC staging.

CONCLUSION

The pretreatment levels of SIIS were an independent predictor of prognosis in upper urinary tract urothelial carcinoma after RNU. Therefore, incorporating SIIS into currently available clinical parameters helps predict the long-term survival of UTUC.

[Impact of HPV status on nutritional status during radio chemotherapy for oropharyngeal cancer]

PURPOSE

Patients with oropharyngeal cancer are at high nutritional risk before and during treatment. Little is known about the influence of human papillomavirus (HPV) infection on nutritional status and its evolution during treatment.

MATERIALS AND METHODS

A single-center retrospective study was conducted between August 2017 and December 2020 including 48 patients (14 HPV-induced: HPV+ and 34 non-HPV-induced: HPV-) with oropharyngeal squamous cell carcinoma treated by radiotherapy±chemotherapy (RT/CT). Nutritional risk at the time of tumor assessment (TA) was assessed by weight loss, swallowing ability, and the presence of digestive disorders in 4 stages of increasing severity. Nutritional status was assessed by weight and nutrition risk index (NRI) at the time of TA, before the start and at 3 months from the end of RT±CT. During RT±CT, the NRI and the systemic inflammatory response index (SIRI=neutrophils * monocytes/lymphocytes) were assessed weekly.

RESULTS

HPV+patients were at lower nutritional risk at TA (50% grade ≥2 vs 85%, P=0.02), lost more weight (6% of their body weight vs 3%, P=0.05), and increased their SIRI by 7.5 points more than HPV- patients (P=0.04) during RT/CT.

CONCLUSION

HPV+ oropharyngeal cancer patients are at high nutritional risk even in the absence of undernutrition at the outset of management.

Neutrophil to Lymphocyte Ratio in Oropharyngeal Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis

Neutrophil-to-lymphocyte ratio (NLR) has been associated with survival in various cancers, including head and neck cancer. However, there is limited information on its role in oropharyngeal squamous cell carcinomas (OPSCC) according to HPV status. This prompted the present meta-analysis. Studies were selected when the prognostic value of NLR prior to treatment was evaluated in OPSCC patients, the cutoff value of NLR was available, and the prognostic value of NLR was evaluated by time-to-event survival analysis. A total of 14 out of 492 articles, including 7647 patients, were analyzed. The results showed a worse prognosis for the patients with a high NLR: The combined hazard ratios (HR) for overall survival (OS) in patients with an elevated NLR was 1.56 (95% confidence interval (CI) 1.21-2.02; p = 0.0006), for disease-free survival was 1.52 (95% CI 1.34-1.73; p < 0.00001), and for recurrence-free survival was 1.86 (95% CI 1.50-2.30; p < 0.00001). This worse prognosis of high NLR was exclusive of HPV-positive patients: HR for OS in the HPV-positive subgroup was 4.05 (95% CI 1.90-8.62 (p = 0.0003), and in the HPV-negative subgroup 0.92 (95% CI 0.47-1.80; p = 0.82). The prognosis of NLR was not influenced by treatment: The HR for OS for patients treated with radiotherapy/chemoradiotherapy (RT/CRT) was 1.48 (95% CI 1.09-2.01; p = 0.01), and for patients treated with surgery (±RT/CRT) was 1.72 (95% CI 1.08-2.72; p = 0.02). In conclusion, an elevated NLR relates to worse outcomes in patients with HPV-positive OPSCC.

A new prognostic model predicting hepatocellular carcinoma early recurrence in patients with microvascular invasion who received postoperative adjuvant transcatheter arterial chemoembolization

BACKGROUD

In this study, we aimed to develop a prognostic model to predict HCC early recurrence (within 1-year) in patients with microvascular invasion who received postoperative adjuvant transcatheter arterial chemoembolization (PA-TACE).

METHODS

A total of 148 HCC patients with MVI who received PA-TACE were included in this study. The modes were verified in an internal validation cohort (n = 112) and an external cohort (n = 36). Univariate and multivariate Cox regression analyses were performed to identify the independent prognostic factors relevant to early recurrence. A clinical nomogram prognostic model was established, and nomogram performance was assessed via internal validation and calibration curve statistics.

RESULTS

After data dimensionality reduction and element selection, multivariate Cox regression analysis indicated that alpha fetoprotein level, systemic inflammation response index, alanine aminotransferase, tumour diameter and portal vein tumour thrombus were independent prognostic factors of HCC early recurrence in patients with MVI who underwent PA-TACE. Nomogram with independent factors was established and achieved a better concordance index of 0.765 (95% CI: 0.691-0.839) and 0.740 (95% CI: 0.583-0.898) for predicting early recurrence in training cohort and validation cohort, respectively. Time-dependent AUC indicated comparative stability and adequate discriminative ability of the model. The DCA revealed that the nomogram could augment net benefits and exhibited a wider range of threshold probabilities than AJCC T stage.

CONCLUSIONS

The nomogram prognostic model showed adequate discriminative ability and high predictive accuracy.

Prognostic capacity of the systemic inflammation response index for functional outcome in patients with aneurysmal subarachnoid hemorrhage

Objective

We aimed to investigate the relationship between systemic inflammatory response index (SIRI) and functional outcome after aneurysmal subarachnoid hemorrhage (aSAH).

Methods

A retrospective cohort study was performed involving all consecutive aSAH patients admitted to our institution. The modified Rankin Scale (mRS) score was performed to determine the functional outcomes of all patients at 3 months after aSAH. Results were categorized as favorable (mRS score 0-2) and unfavorable (mRS score 3-6). Univariate and multivariate logistic regressive analyses were utilized to identify the prognostic significance of SIRI. To minimize the effects of confounding factors, patients were stratified according to the optimal cut-off value of SIRI with propensity score matching (PSM). Further subgroup analysis was conducted to verify the consistency of our findings and Pearson's correlation analysis was used to assess the relationship between SIRI and the severity of aSAH.

Results

In this study, 350 patients were enrolled and 126 (36.0%) of them suffered unfavorable outcomes. The SIRI of 5.36 × 10⁹/L was identified as the optimal cut-off value. Two score-matched cohorts (n = 100 in each group) obtained from PSM with low SIRI and high SIRI were used for analysis. A significantly higher unfavorable functional outcome rate was observed in patients with high SIRI before and after PSM (p < 0.001 and 0.017, respectively). Multivariate logistic regression analysis demonstrated that SIRI value ≥ 5.36 × 10⁹/L was an independent risk factor for poor outcomes (OR 3.05 95% CI 1.37-6.78, p = 0.006) after adjusting for possible confounders. A identical result was discovered in the PSM cohort. In ROC analysis, the area under the curve (AUC) of SIRI was 0.774 which shown a better predictive value than other inflammatory markers observed in previous similar studies. Pearson's correlation analysis proved the positive association between SIRI and aSAH severity.

Conclusions

Elevated SIRI at admission is associated with worse clinical status and poorer functional outcomes among patients with aSAH. SIRI is a useful inflammatory marker with prognostic value for functional outcomes after aSAH.

Use of the systemic inflammation response index (SIRI) as a novel prognostic marker for patients on peritoneal dialysis

BACKGROUND

The systemic inflammatory response index (SIRI), a novel inflammation maker, has proven to be associated with prognostic outcomes in various diseases. However, few studies have been conducted assessing how SIRI may influence outcomes of patients on peritoneal dialysis (PD). Herein, we assessed the predictive value of SIRI on mortality all-cause mortality, including cardiovascular disease (CVD) in PD patients.

METHODS

A total of 646 PD patients were enrolled in this study. PD patients received regular PD treatments at the Zhujiang Hospital from 1 January 2011 to 31 December 2018. SIRI values could be computed as follows: neutrophil count × monocyte count/lymphocyte count. Patients were divided into two groups according to the median level of SIRI. Cox regression analysis and Kaplan-Meier methods were applied to analyze the relationship between SIRI and mortality outcomes in PD patients.

RESULTS

During the median 31-month follow-up period, 97 (15.0%) PD patients died from all-causes, and 47 (49.0%) died of CVD. Kaplan-Meier analyses revealed that a high SIRI corresponded to the high mortality of all-cause deaths, including CVD (both p < 0.001) in patients on PD. After adjusting for potential confounders, the higher SIRI level was significantly associated with an increased all-cause mortality (HR: 2.007, 95% CI: 1.304-3.088, p = 0.002) and cardiovascular mortality (HR: 2.847, 95% CI: 1.445-5.608, p = 0.002).

CONCLUSIONS

SIRI was a promising predictor of mortality in PD patients, with a higher SIRI corresponding to increased risk of mortality.

Evaluation of systemic inflammatory and nutritional indexes in locally advanced gastric cancer treated with adjuvant chemoradiotherapy after D2 dissection

BACKGROUND

Many studies have shown that the peripheral blood inflammatory index and nutritional index, such as the platelet lymphocyte ratio (PLR), neutrophil lymphocyte ratio (NLR), lymphocyte monocyte ratio (LMR), systemic inflammation response index (SIRI), pan-immune-inflammation value (PIV), systemic immune-inflammation index (SII), and prognostic nutrition index (PNI), are independent prognostic factors for tumors. The present study aimed to investigate the prognostic role of these peripheral blood indexes before treatment in locally advanced gastric cancer (LAGC) treated with adjuvant chemoradiotherapy after D2 dissection.

METHODS

A total of 89 patients with LAGC who underwent D2 gastrectomy and adjuvant chemoradiotherapy at our hospital from 2010-2018 were eligible. Systemic inflammatory indicators before treatment were evaluated. Receiver operating characteristic curve (ROC), Kaplan-Meier analysis, and Cox regression were utilized for prognosis evaluation.

RESULTS

The median follow-up time was 29.1 (4.1-115.8) months. The overall survival at 3 years (OS) and the disease-free survival (DFS) were 78.9% and 59.1%, respectively. According to the ROC curve for 3-year DFS, the best cut-off values of pre-treatment NLR, PLR, LMR, SII, SIRI, PIV and PNI were 1.7, 109.3, 2.9, 369.2, 0.58, 218.7, and 48, respectively. Multivariate Cox regression analysis showed that NLR was an independent prognostic factor for DFS (HR 2.991, 95%CI 1.085-8.248, P = 0.034). Kaplan-Meier analysis showed that a higher NLR (>1.70) was significantly associated with a poorer OS (3-year OS: 68.8% vs 92.9%, P = 0.045) and DFS (3-year DFS: 47.5% vs 80.9%, P = 0.005). In terms of the free locoregional recurrence rate (LRR), the prognosis of patients with high NLR was also significantly worse than those with low NLR (70.2% vs 96.0%, P = 0.017). Paraaortic lymph nodes were the most common site of LRR (7/14 patients). The seven cases of paraaortic lymph node metastasis occurred in patients with high NLR.

CONCLUSIONS

In our retrospective analysis, we found that pretreatment NLR could serve as a prognostic factor for survival in LAGC treated with adjuvant chemoradiotherapy after D2 dissection, especially for the prediction of LRR and paraaortic lymph node metastasis. Prospective studies are needed to confirm our findings.

Cancer-associated fibroblast-like fibroblasts in vocal fold leukoplakia suppress CD8+T cell functions by inducing IL-6 autocrine loop and interacting with Th17 cells

The characteristics of fibroblast cells in head and neck precancerous lesion and its ability to secrete inflammatory cytokines and affect CD8⁺T cell functions remain unclear. Herein, we reported the existence of fibroblasts in human-derived vocal fold leukoplakia (VFL) with positive staining of fibroblast activation protein (FAP) and α-smooth muscle actin (α-SMA). The fibroblasts from VFL and cancer-associated fibroblasts (CAFs) from head and neck squamous cell carcinoma (HNSCC) displayed similar cellular functions and robust inflammatory cytokine secretions. The effects of fibroblasts from VFL in inducing the apoptosis, depletion of CD8⁺ T cells and recruitment of regulatory T cells (Treg cells) were observed. We further assessed the autocrine loop within VFL fibroblasts to self-stimulate by secreting IL-6, TGF-β through the IL-6/JAK2/STAT3 pathway. The synergistic stimulation of IL-6 and TGF-β promoted Th17 cell differentiation and IL-17A secretion, which could result in fibroblast activation in another positive loop. Tocilizumab (TOC), a monoclonal antibody targeting IL-6R, managed to suppress the overexpression of both IL-6 and TGF-β in VFL fibroblasts, and thus blocking IL-6 autocrine loop and CAF-Th17 loop in vitro. In a murine model of oral leukoplakia (OL), local injection of TOC inhibited the outgrowth of lesions and showed notable effect in control of OL progression in vivo. Our findings establish a novel rationale for blocking the IL-6/JAK2/STAT3 pathway to inhibit vocal fold (oral) leukoplakia progression and postpone HNSCC tumorigenesis.

Prognostic implications of preoperative systemic inflammatory markers in oral squamous cell carcinoma, and correlations with the local immune tumor microenvironment

Purpose

The aim of this study was to investigate the prognostic significance of preoperative inflammatory markers in peripheral blood of patients with oral squamous cell carcinoma (OSCC), and to establish correlations with the infiltrate of macrophages and lymphocytes in the local immune tumor microenvironment (TME).

Materials and Methods

Neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), and systemic immune-inflammation index (SII) were retrospectively evaluated in a cohort of 348 OSCC patients, and correlated with overall (OS) and disease-specific survival (DSS). Immunohistochemical analysis of tumoral and stromal infiltration of CD8+, CD4+, FOXP3+ and CD20+ lymphocytes and CD68+ and CD163+ macrophages was performed in a subset of 119 OSCC patient samples, and correlations further assessed.

Results

NLR, SII, and LMR were significantly associated with a poorer OS in univariate analysis; however, only NLR remained a significant independent predictor in the multivariate analysis (HR = 1.626, p = 0.04). NLR and SII were inversely and significantly correlated with stromal infiltration of CD8+, CD4+, and CD20+ lymphocytes. Moreover, a significant correlation between LMR was also found to significantly associate with stromal infiltration of CD8+, CD4+, and CD20+ lymphocytes, stromal CD68+ and CD163+ macrophages, and also tumoral infiltration of CD4+ and CD20+ lymphocytes.

Conclusions

Preoperative NLR, SII, and LMR may serve as valuable systemic markers to predict OSCC patient survival, with NLR emerging as an independent predictor of poor OS. Moreover, strong significant correlations were exclusively observed between systemic inflammatory markers and the local stromal infiltration of lymphocytes in the TME.

A predictive model for advanced oropharyngeal cancer patients treated with chemoradiation

Background

To analyze clinical characteristics in the prediction of death within 1 year in advanced oropharyngeal cancer patients treated with chemoradiation.

Methods

One hundred forty-seven advanced oropharyngeal cancer patients who underwent curative-intent chemoradiation treatment were retrospectively enrolled. The pre-treatment clinical parameters including inflammatory markers were reviewed.

Results

The 1-year death rate for all patients was 29% [95% confidence interval (CI): 23–37%]. In multivariate logistic regression analysis, hemoglobulin (Hb) < 13.5 g/dl was an independent indicator of death within 1-year [Odds ratio (OR) 5.85, 95% CI 2.17–15.75, p < 0.001]. Systemic immune inflammation (SII) ≥ 1820 was also a significant factor for prediction of death within 1 year (OR 4.78, 95% CI 1.44–15.85, p = 0.011). We further used gander, age, Hb and SII to develop a nomogram to predict death within 1 year. The c-index of the model was 0.75 (95%CI 0.66–0.83). For patients with low nomogram score (< 14) versus high nomogram score (≥ 14), the 1-year and 2-year OS rates were 91 and 71% versus 53 and 29%, respectively. (p < 0.001). A difference in the disease persistence or recurrence rate between patients with high and low nomogram score was significant (73 and 28%, respectively; p < 0.001).

Conclusions

The pre-treatment Hb < 13.5 g/dl and SII ≥ 1820 are associated with higher risks of death within 1-year in patients with advanced oropharyngeal cancers. Nomogram can aid in patient counseling and treatment modality adjustment. The development of a more effective treatment protocol for patients with high nomogram score will be essential.

Serum Proteomics in Patients with Head and Neck Cancer: Peripheral Blood Immune Response to Treatment

In this real-world study, the aims were to prospectively evaluate the expression of inflammatory proteins in serum collected from head and neck cancer patients before and after treatment, and to assess whether there were differences in expression associated with treatment modalities. The mixed study cohort consisted of 180 patients with head and neck cancer. The most common tumor sites were the oropharynx (n = 81), the oral cavity (n = 53), and the larynx (n = 22). Blood tests for proteomics analysis were carried out before treatment, 7 weeks after the start of treatment, and 3 and 12 months after the termination of treatment. Sera were analyzed for 83 proteins using an immuno-oncology biomarker panel (Olink, Uppsala, Sweden). Patients were divided into four treatment groups: surgery alone (Surg group, n = 24), radiotherapy with or without surgery (RT group, n = 94), radiotherapy with concomitant cisplatin (CRT group, n = 47), and radiotherapy with concomitant targeted therapy (RT Cetux group, n = 15). For the overall cohort, the expression levels of 15 of the 83 proteins changed significantly between the pretreatment sample and the sample taken 7 weeks after the start of treatment. At 7 weeks after the start of treatment, 13 proteins showed lower expression in the CRT group compared to the RT group. The majority of the inflammatory proteins had returned to their pretreatment levels after 12 months. It was clearly demonstrated that cisplatin-based chemoradiation has immunological effects in patients with head and neck cancer. This analysis draws attention to several inflammatory proteins that are of interest for further studies.

Prognostic significance of preoperative systemic inflammation response index in newly diagnosed glioblastoma patients underwent gross total resection: a propensity score matching analysis

Background

Glioblastoma (GBM) is the most frequent and lethal brain tumor, which possesses highly malignant characteristics and predominates in elder patients. Systemic inflammatory response index (SIRI) is a novel prognostic marker from peripheral blood, which is defined as neutrophil count × monocyte count/lymphocyte count. In the current research, we aim to explore the relationship between SIRI and newly diagnosed GBM underwent gross total resection (GTR).

Methods

A retrospective analysis was conducted on consecutive newly diagnosed GBM patients underwent operation at West China Hospital from March 2015 to January 2019. X-tile software was used to determine the optimal cut-off values of SIRI, and neutrophil to lymphocyte ratio (NLR). All statistical analyses were performed using SPSS software and R software. Propensity score matching (PSM) was conducted to adjust for imbalance of all potential confounding covariates.

Results

The current research included a total of 291 consecutive newly diagnosed GBM patients underwent gross total resection. Among them, 186 were male patients and 105 were female patients. In original cohort, only gender was evidently related to SIRI level. SIRI and NLR were independent prognostic indicators both in original cohort and PSM cohort. Prognostic models based on the independent prognostic factors were established, and prognostic capacity of Model SIRI was superior to Model NLR.

Conclusion

In the current research, SIRI was determined to be an independent prognostic indicator for GBM. And the prognostic predictive ability of SIRI was stronger than NLR.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12957-022-02588-0.

Radiomics Metrics Combined with Clinical Data in the Surgical Management of Early-Stage (cT1-T2 N0) Tongue Squamous Cell Carcinomas: A Preliminary Study

Objective: To predict the risk of metastatic lymph nodes and the tumor grading related to oral tongue squamous cell carcinoma (OTSCC) through the combination of clinical data with radiomics metrics by computed tomography, and to develop a supportive approach in the management of the lymphatic cervical areas, with particular attention to the early stages (T1−T2). Between March 2016 and February 2020, patients with histologically confirmed OTSCC, treated by partial glossectomy and ipsilateral laterocervical lymphadenectomy and subjected to computed tomography (CT) before surgery, were identified by two centers: 81 patients (49 female and 32 male) with 58 years as the median age (range 19−86 years). Univariate analysis with non-parametric tests and multivariate analysis with machine learning approaches were used. Clinical, hematological parameters and radiological features extracted by CT were considered individually and in combination. All clinical parameters showed statistically significant differences (p < 0.05) for the Kruskal−Wallis test when discriminating both the tumor grading and the metastatic lymph nodes. DOI, PLR, SII, and SIRI showed an accuracy of 0.70 (ROC analysis) when identifying the tumor grading, while an accuracy ≥ 0.78 was shown by DOI, NLR, PLR, SII, and SIRI when discriminating metastatic lymph nodes. In the context of the analysis of radiomics metrics, the original_glszm_HighGrayLevelZoneEmphasis feature was selected for identifying the tumor grading (accuracy of 0.70), while the wavelet_HHH_glrlm_LowGrayLevelRunEmphasis predictor was selected for determining metastatic lymph nodes (accuracy of 0.96). Remarkable findings were also obtained when classifying patients with a machine learning approach. Radiomics features alone can predict tumor grading with an accuracy of 0.76 using a logistic regression model, while an accuracy of 0.82 can be obtained by running a CART algorithm through a combination of three clinical parameters (SIRI, DOI, and PLR) with a radiomics feature (wavelet_LLL_glszm_SizeZoneNonUniformityNormalized). In the context of predicting metastatic lymph nodes, an accuracy of 0.94 was obtained using 15 radiomics features in a logistic regression model, while both CART and CIDT achieved an asymptotic accuracy value of 1.00 using only one radiomics feature. Radiomics features and clinical parameters have an important role in identifying tumor grading and metastatic lymph nodes. Machine learning approaches can be used as an easy-to-use tool to stratify patients with early-stage OTSCC, based on the identification of metastatic and non-metastatic lymph nodes.

Predictive Value of Pretreatment Lymphocyte-to-Monocyte Ratio and Platelet-to-Lymphocyte Ratio in the Survival of Nasopharyngeal Carcinoma Patients

Objective

The present study aimed to investigate the predictive value of some indexes, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammatory response index (SIRI), and systemic immune-inflammatory index (SII) in the survival of nasopharyngeal carcinoma (NPC) and provide reference for the treatment.

Methods

A retrospective analysis was performed on 216 patients from 2016 to 2018. The cutoff values of these indexes were determined by the receiver operating characteristic (ROC) curve. The prognostic value of the indexes was evaluated according to the rate of overall survival (OS), regional recurrence-free survival (RRFS), locoregional recurrence-free survival (LRRFS), and distant metastasis-free survival (DMFS).

Results

The survival analysis showed that NLR ≤2.695 (P = 0.017) and PLR ≤140.065 (P = 0.041) were associated with poor OS; however, the LMR and SIRI showed no significant statistical significance. NLR ≤2.045 (P = 0.018) and PLR ≤125.605 (P = 0.003) were associated with poor RRFS, LMR ≤2.535 (P = 0.027) and PLR ≤140.065 (P = 0.009) were associated with poor DMFS, NLR ≤2.125 (P = 0.018) and PLR ≤132.645 (P = 0.026) were associated with poor LRRFS, respectively. Logistic regression analysis showed that low LMR (≤2.535) was significantly inferior in OS (HR 23.085, 95% CI 3.425–155.622, P = 0.001) and DMFS (HR 22.839, 95% CI 4.096–127.343, P < 0.001). Moreover, low PLR (≤140.065) remained significantly related to worse OS (HR 11.908, 95% CI 1.295–109.517, P = 0.029) and DMFS (HR 9.556, 95% CI 1.448–63.088, P = 0.019).

Conclusion

The index LMR and PLR can be used for predicting survival in NPC patients.

Body Mass Index Alters the Predictive Value of the Neutrophil-to-Lymphocyte Ratio and Systemic Inflammation Response Index in Laryngeal Squamous Cell Carcinoma Patients

Laryngeal squamous cell carcinoma (LSCC) is a frequent cancer subtype among head and neck cancers. Exacerbated inflammation and nutritional deficit are common features in this type of cancer and can be used as a prognostic marker. This study aimed to investigate the relationship between body mass index (BMI), neutrophil-to-lymphocyte ratio (NLR), and systemic inflammation response index (SIRI) on overall survival (OS) of LSCC patients. In this retrospective cohort study, 168 patients were followed for 5 years. Data on clinical factors, patients' life habits, height, weight, and hematological parameters were collected. BMI, NLR, and SIRI were calculated. Pretreatment NLR≥ 2.02 and SIRI≥ 1160.85 were independent prognostic factors for poor OS. Low BMI did not significantly affect the OS. However, the inflammatory parameters had their predictive capacity altered when stratified by the BMI classification. NLR≥ 2.02 + Low BMI or SIRI≥ 1160.85 + Low BMI increased in 8.6 and 3.8 times the risk of death, respectively. In contrast, stratification by normal/high BMI classification eliminated the predictive capacity of NLR and SIRI. Here, we demonstrated the possible ability of BMI to change the prognostic capacity of inflammatory markers NLR and SIRI in patients with LSCC.Supplemental data for this article is available online at https://doi.org/10.1080/01635581.2021.1952447.

Potential association of the prognostic index and survival in patients with p16-positive oropharyngeal squamous cell carcinoma

Background

The aim was to assess the prognostic value of the newly proposed prognostic index (PI) in patients with p16-positive oropharyngeal squamous cell carcinoma.

Methods

Patients treated with primary surgery from 2012 to 2019 with available preoperative (0–2 days) values of C‑reactive protein and white blood cell counts needed for calculation of the PI, were included. Main outcome measures were overall survival (OS) and disease-free survival (DFS). The PI was dichotomized into low (PI = 0) and high (PI ≥ 1).

Results

In this study 36 patients were included. Average overall (OS) and disease-free survival (DFS) were 3.3 years (range 0.2–12.3 years) and 2.8 years (0.0–9.8 years), respectively. The overall mortality was 16.7% (n = 6) and a recurrent disease was observed in 30.6% of patients (n = 11). Low PI was associated with better overall survival (mean OS 10.1 ± 1.4 years, 95% confidence interval, CI 7.3–12.9 years vs. 1.9 ± 0.4, 95% CI 1.3–2.6 years, p < 0.01; mean DFS 8.5 ± 0.7 years, 95% CI 7.1–9.6 years vs. 1.0 ± 0.3 years, 95% CI 0.5–1.5 years, p < 0.01).

Conclusion

The PI might be an easily obtainable outcome prognosticator in p16-positive oropharyngeal squamous cell carcinoma patients. Analyzing routinely obtained blood samples can contribute to identifying high-risk patients.

Immune Cell Infiltrates and Neutrophil-to-Lymphocyte Ratio in Relation to Response to Chemotherapy and Prognosis in Laryngeal and Hypopharyngeal Squamous Cell Carcinomas

Simple Summary

The role of the immune response to cancer is of increasing importance, with a determining role in the response to the treatments and prognosis of patients. In this work, we studied whether the immune response (local and systemic) can influence the treatment response and prognosis of patients with laryngeal and hypopharyngeal carcinoma receiving induction chemotherapy (ICT). We observed that the relationship between neutrophils and lymphocytes (NLR) in peripheral blood and PD-L1 expression in the tumor is related to ICT response and patient prognosis. The identification of new biomarkers related to the immune response may allow a better selection of treatments and the identification of potential therapeutic targets.

Abstract

Our goal was to assess the correlation of immune parameters with the response to induction chemotherapy (ICT) in head and neck squamous cell carcinoma (HNSCC) patients. Pretreatment biopsies from 64 patients with HNSCC that received ICT were assessed for PD-L1 protein expression and density of CD8+ and FOXP3+ tumor infiltrating lymphocytes (TIL). In addition, the neutrophil-to-lymphocyte ratio (NLR) was calculated from pretreatment whole blood counts. In total, 55% of cases exhibited PD-L1 combined proportion score (CPS) positivity (≥1% stained cells). PD-L1 CPS positivity correlated with a high density of both CD8+ (p = 0.01) and FOXP3+ (p < 0.001) TILs. There was no correlation between PD-L1 expression or TIL density and NLR values. In univariate analyses, the absence of PD-L1 CPS expression (p = 0.042) and a high NLR (p = 0.034) were significantly correlated with response to ICT. Neither CD8+ TIL (p = 0.99) nor FOXP3+ TIL densities (p = 0.71) were associated with response to ICT. In multivariate analysis, only a high NLR was associated with response to ICT (HR = 4.06, 95% CI = 1.06–15.5, p = 0.04). In addition, a high NLR was also independently associated with lower disease-specific (p = 0.03) and overall survival rates (p = 0.04), particularly in the subset of patients who received definitive surgical treatment. These results suggest that NLR could emerge as a predictive biomarker of response to ICT.

Prognosis in Head and Neck Cancer: Importance of Nutritional and Biological Inflammatory Status

OBJECTIVES

To determine the importance of nutritional status, social status, and inflammatory status in the prognosis of head and neck cancer.

STUDY DESIGN

Single-center retrospective study of prospectively collected data.

SETTING

Tertiary referral center.

METHODS

Ninety-two consecutive patients newly diagnosed for cancer of the upper aerodigestive tract without metastases were assessed at time of diagnosis for several prognostic factors. Nutritional status was assessed by the nutritional risk index, social status by the EPICES score, and inflammatory status by the systemic inflammatory response index. The primary endpoint was overall survival.

RESULTS

In multivariable analysis, the main prognostic factors were the TNM classification (hazard ratio [HR] = 3.34, P = .002, for stage T3-4), malnutrition as assessed by the nutritional risk index (HR = 3.64, P = .008, for severe malnutrition), and a systemic inflammatory response index score ≥1.6 (HR = 3.32, P = .02). Social deprivation was not a prognostic factor.

CONCLUSION

Prognosis in head and neck cancer is multifactorial; however, malnutrition and inflammation are important factors that are potentially reversible by early intervention.

Assessment of systematic inflammatory and nutritional indexes in extensive-stage small-cell lung cancer treated with first-line chemotherapy and atezolizumab

BACKGROUND

The present study aims to investigate the prognostic role of systematic inflammatory and nutritional indexes in extensive-stage small-cell lung cancer (ES-SCLC) treated with first-line chemotherapy and atezolizumab.

MATERIALS AND METHODS

Prospective cohort population involving 53 patients were identified from NCT03041311 trial. The following peripheral blood-derived inflammatory and nutritional indexes, including neutrophil-lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), prognostic nutrition index (PNI), advanced lung cancer inflammation index (ALI), and lung immune prognostic index (LIPI) were evaluated.

RESULTS

The optimal cut-off values of the ALI, LMR, NLR, PLR, PNI, SII and SIRI were 323.23, 2.73, 2.57, 119.23, 48, 533.28 and 2.32, respectively. With a median follow-up of 17.1 months, the 1-year OS and PFS were 56% and 8%, respectively. Multivariate analysis showed that PLR was the only independent prognostic factors for OS among ES-SCLC patients treated with chemotherapy and atezolizumab (HR 4.63, 95%CI: 1.00-21.46, p = 0.05). K-M analysis showed that the OS and PFS for patients with high PLR (> 119.23) were significantly poorer than these with low PLR (≤ 119.23) (p = 0.0004 for OS and p = 0.014 for PFS). In external validation set, prognosis of patients with high PLR was also significantly poorer than these with low PLR in terms of OS (p = 0.038) and PFS (p = 0.028).

CONCLUSION

Pre-treatment PLR could serve as a valuable independent prognostic factor for ES-SCLC who receive chemotherapy and immune checkpoint inhibitors. Further, prospective studies are still needed to confirm our findings.

Association between the C-reactive protein/albumin ratio and prognosis in patients with oral squamous cell carcinoma

The systemic inflammatory response is known to be associated with poor outcomes in patients with various types of cancer. The C-reactive protein (CRP)/albumin (Alb) ratio (CAR) has been reported as a novel inflammation-based prognostic marker. We have evaluated the prognostic value of inflammatory markers for patients with oral squamous cell carcinoma (OSCC). The study population included 205 patients treated with OSCC between 2013 and 2018. The primary predictor variable was the inflammatory markers. The primary outcome variable was overall survival (OS). Univariate and multivariate analyses were performed using a Cox proportional hazards model to identify independent prognostic factors. The CAR had the highest area under the curve (AUC) values compared with other markers in the receiver operating characteristic (ROC) curve analysis. The cutoff value for CAR was 0.032 (AUC 0.693, P < 0.001). There was a significant difference in OS when patients were stratified according to CAR, with 79.1% for CAR < 0.032 and 35% for CAR ≥ 0.032 (P < 0.001). Cox multivariate analysis identified independent predictive factors for OS: age (hazard ratio [HR] 2.155, 95% confidence interval [CI] 1.262–3.682; P = 0.005), stage (HR 3.031, 95% CI 1.576–5.827; P = 0.001), and CAR (HR 2.859, 95% CI 1.667–4.904; P < 0.001). CAR (≥ 0.032 vs. < 0.032) is a good prognostic marker in patients with OSCC in terms of age and stage.

The aspartate aminotransaminase/alanine aminotransaminase (De Ritis) ratio predicts sensitivity to radiotherapy in head and neck carcinoma patients

BACKGROUND

The aim of this study is to evaluate the relationship between the aspartate aminotransaminase (AST) and alanine aminotransaminase (ALT) ratio and local disease control in patients with head and neck squamous cell carcinomas (HNSCC) treated with radiotherapy/chemoradiotherapy.

METHODS

We calculated the pre-treatment AST/ALT ratio in 670 patients with HNSCC treated with radiotherapy (n = 309, 46.1%) or chemoradiotherapy (n = 361, 53.9%).

RESULTS

Five-year local recurrence-free survival for patients with a low AST/ALT ratio value (n = 529, 79.0%) was 75.0% (95% CI: 71.1-78.9), and for patients with a high value (n = 141, 21.0%) it was 53.4% (CI 95: 44.4-62.4) (p = 0.0001). In a multivariable analysis, patients with a high ratio had nearly twice the risk of having a local tumor recurrence (HR 1.97, 95% CI 1.42-2.75, p = 0.0001).

CONCLUSION

The AST/ALT ratio was independently associated with the risk of local recurrence in patients with HNSCC treated with radiotherapy or chemoradiotherapy.

The systemic inflammation response index predicts the survival of patients with clinical T1-2N0 oral squamous cell carcinoma

OBJECTIVE

The systemic inflammation response index (SIRI) is an independent prognostic factor for many malignant tumors. However, the value of this factor in patients with clinical T1-2N0 (cT1-2N0) oral squamous cell carcinoma (OSCC) is still unclear.

METHODS

We calculated SIRI of 235 cT1-2N0 OSCC patients from 2013 to 2017. Multivariate cox regression analysis was applied to verify the prognostic significance of SIRI. Kaplan-Meier curves were plotted to analyze the overall survival (OS) and disease-specific survival (DSS) for cT1-2N0 OSCC patients.

RESULTS

According to the optimal cutoff point of SIRI, we divided cT1-2N0 OSCC patients into high SIRI group (SIRI ≥ 1.3) and low SIRI group (SIRI < 1.3). SIRI was an independent prognostic indicator for OS (HR = 2.87; 95% CI = 1.35-6.10; p = .006) and DSS (HR = 2.17; 95% CI = 1.10-4.27; p = .025). High SIRI had a significantly poorer OS (p = .001) and DSS (p = .007) in survival analysis than the low SIRI. Moreover, the prognostic value of SIRI was significantly stronger than neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR).

CONCLUSIONS

Preoperative SIRI can be regarded as a meaningful indicator for poor survival of cT1-2N0 OSCC patients, and it is a promising tool to formulate the best individualized treatment for high-risk patients.

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

BACKGROUND

Recent studies have indicated that the systemic inflammation response index (SIRI) can efficiently predict survival outcomes in various tumor types. Thusly, in absence of comparable investigations in limited-stage small-cell lung cancers (LS-SCLCs), we aimed to retrospectively evaluate the prognostic utility of SIRI in LS-SCLC patients treated with concurrent chemoradiotherapy (CRT). Patients and Methods. Present multi-institutional retrospective analysis incorporated LS-SCLC patients treated with CRT at three academic radiation oncology centers between January 2007 and December 2018. The SIRI was calculated by using the peripheral blood neutrophil (N), monocyte (M), and lymphocyte (L) counts acquired in the last ≤7 days before the commencement of the CRT: SIRI = N × M/L. Accessibility of pretreatment SIRI cutoff that may stratify the study population into two gatherings with distinctive overall survival (OS) results was evaluated by utilizing the receiver operating characteristic (ROC) curve analysis. Primary objective was the association between the SIRI values and the OS results.

RESULTS

Search for the availability of an ideal SIRI cutoff that may stratify the entire patients' population into two particular groups with distinctive OS outcomes identified the 1.93 value (area under the curve (AUC): 72.9%; sensitivity: 74.6%; specificity: 70.1%): Group 1: SIRI <1.93 (N = 71) and Group 2: SIRI ≥1.93 (N = 110), respectively. At a median follow-up of 17.9 (95% CI: 13.2-22.6) months, 47 (26.0%) patients were still alive (47.9% for SIRI <1.93 versus 18.3% for SIRI ≥1.93; p < 0.001). Kaplan-Meier comparisons between the two SIRI groups showed that the SIRI <1.93 cohort had significantly longer median OS (40.5 versus 14.2 months; p < 0.001) than the SIRI ≥1.93 cohort. Similarly, the 3- (54% versus 12.6%) and 5-year (33% versus 9.9%) OS rates were also numerically superior in the SIRI <1.93 cohort. Results of the multivariate analyses uncovered that the prognostic significance of the SIRI on OS outcomes was independent of the other confounding variables.

CONCLUSIONS

The results of this retrospective multi-institutional cohort analysis suggested that a pre-CRT SIRI was a strong and independent prognostic biomarker that reliably stratified LS-SCLC patients into two cohorts with significantly different OS outcomes.

Systemic Inflammation Response Index Is a Predictor of Poor Survival in Locally Advanced Nasopharyngeal Carcinoma: A Propensity Score Matching Study

Introduction

Nasopharyngeal carcinoma (NPC) is a common malignancy in China and known prognostic factors are limited. In this study, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI) were evaluated as prognostic factors in locally advanced NPC patients.

Materials and Methods

NPC patients who received curative radiation or chemoradiation between January 2012 and December 2015 at the Second Xiangya Hospital were retrospectively reviewed, and a total of 516 patients were shortlisted. After propensity score matching (PSM), 417 patients were eventually enrolled. Laboratory and clinical data were collected from the patients' records. Receiver operating characteristic curve analysis was used to determine the optimal cut-off value. Survival curves were analyzed using the Kaplan-Meier method. The Cox proportional hazard model was used to identify prognostic variables.

Results

After PSM, all basic characteristics between patients in the high SIRI group and low SIRI group were balanced except for sex (p=0.001) and clinical stage (p=0.036). Univariate analysis showed that NLR (p=0.001), PLR (p=0.008), SII (p=0.001), and SIRI (p<0.001) were prognostic factors for progression-free survival (PFS) and overall survival (OS). However, further multivariate Cox regression analysis showed that only SIRI was an independent predictor of PFS and OS (hazard ratio (HR):2.83; 95% confidence interval (CI): 1.561-5.131; p=0.001, HR: 5.19; 95% CI: 2.588-10.406; p<0.001), respectively.

Conclusion

Our findings indicate that SIRI might be a promising predictive indicator of locally advanced NPC patients.

The Combination of Hemogram Indexes to Predict Exacerbation in Stable Chronic Obstructive Pulmonary Disease

Background: Chronic obstructive pulmonary disease (COPD) is characterized by pulmonary and systemic inflammatory processes, and exacerbation of COPD represents a critical moment in the progression of COPD. Several biomarkers of inflammation have been proposed to have a predictive function in acute exacerbation. However, their use is still limited in routine clinical practice. The purpose of our study is to explore the prognostic efficacy of novel inflammatory hemogram indexes in the exacerbation among stable COPD patients. Method: A total of 275 stable COPD patients from the Shanghai COPD Investigation Comorbidity Program were analyzed in our study. Blood examinations, especially ratio indexes like platelet-lymphocyte ratio (PLR), platelet × neutrophil/lymphocyte ratio [systemic immune-inflammation index (SII)], and monocyte × neutrophil/lymphocyte ratio [systemic inflammation response index (SIRI)], lung function test, CT scans, and questionnaires were performed at baseline and routine follow-ups. Clinical characteristics and information of exacerbations were collected every 6 months. The relationship between hemogram indexes and diverse degrees of exacerbation was assessed by logistic regression. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the ability of hemogram indexes to predict exacerbation of COPD. Furthermore, the discrimination and accuracy of combined indexes were measured by ROC and calibration curve. Result: There was a significant positive correlation between PLR levels and total exacerbation of COPD patients in a stable stage in a year. Also, the predictive ability of PLR exceeded any other ratio indexes, with an AUC of 0.66. SII and SIRI ranked second only to PLR, with an AUC of 0.64. When combining PLR with other indexes (sex, COPD year, and St. George's Respiratory Questionnaire scores), they were considered as the most suitable panel of index to predict total exacerbation. Based on the result of the ROC curve and calibration curve, the combination shows optimal discrimination and accuracy to predict exacerbation events in COPD patients. Conclusion: The hemogram indexes PLR, SII, and SIRI were associated with COPD exacerbation. Moreover, the prediction capacity of exacerbation was significantly elevated after combining inflammatory hemogram index PLR with other indexes, which will make it a promisingly simple and effective marker to predict exacerbation in patients with stable COPD.

The Clinical Impacts of Pretreatment Peripheral Blood Ratio on Lymphocytes, Monocytes, and Neutrophils Among Patients with Laryngeal/Hypopharyngeal Cancer Treated by Chemoradiation/Radiation

Purpose

This study aimed to investigate the clinical impacts of the pretreatment peripheral blood ratios of lymphocytes, monocytes and neutrophils among patients with hypopharyngeal cancer/laryngeal cancer.

Patients and Methods

A total of 141 people with cases of hypopharyngeal cancer/laryngeal cancer were enrolled to evaluate the clinical impacts of the systemic inflammation response index (SIRI), neutrophil-lymphocyte ratio (NLR) and lymphocyte-monocyte ratio (LMR) in pretreatment blood among patients with laryngeal/hypopharyngeal cancer between January 2012 and December 2014.

Results

Those patients with higher pretreatment LMR (>2.99) showed a significantly higher 5-year complete response rate (CR) (69% vs 31%) than those with lower LMR (≤2.99, p = 0.006). Additionally, those patients with lower pretreatment SIRI (<3.26) showed a significantly higher 5-year CR (90% vs 10%) than those with higher SIRI (≥3.26, p < 0.001). Patients with higher LMR had better 5-year overall survival (OS) (p = 0.01) and 5-year progression-free (PFS) (p = 0.005) rates than those with lower LMR in univariate analysis. Patients with lower SIRI had better 5-year OS (p < 0.001) and 5-year PFS (p < 0.001) than those with higher SIRI in univariate analysis. In the Cox regression analysis, SIRI (HR = 1.941, [95% CI: 1.223-3.081], p = 0.005) and N classification (HR = 2.203, [95% CI: 1.327-3.657], p = 0.002) were independent variables of 5-year OS. In addition, SIRI (HR= 2.127, [95% CI: 1.214-3.725], p = 0.008), T classification (HR = 2.18, [95% CI: 1.072-4.433], p = 0.031), and N classification (HR = 2.329, [95% CI: 1.395-3.889], p = 0.001) were independent variables of 5-year PFS.

Conclusion

Pretreatment SIRI is superior to LMR in predicting treatment response and clinical outcomes among patients with laryngeal/hypopharyngeal cancer treated by CRT/RTO. SIRI may be adopted in the treatment of laryngeal/hypopharyngeal cancer by CRT/RTO.

Evidence of the Prognostic Value of Pretreatment Systemic Inflammation Response Index in Cancer Patients: A Pooled Analysis of 19 Cohort Studies

Objective

Systemic inflammation response index (SIRI) is a new inflammation-based evaluation system that has been reported for predicting survival in multiple tumors, but the prognostic significance of SIRI in cancers has not been evinced.

Methods

Eligible studies updated on December 31, 2019, were selected according to inclusion criteria, the literature searching was performed in PubMed, Web of Science, Google Scholar, and Cochrane. Hazard ratios (HRs), and 95% confidence intervals (CIs) were extracted and pooled by using Stata/SE 14.1.

Results

11 publications involving 19 cohort studies with a total of 5,605 subjects were included. Meta-analysis results evinced that high SIRI was associated with worse OS (HR = 2.30, 95% CI: 1.87-2.83, p ≤ 0.001), poor CSS/DSS (HR = 2.83, 95% CI: 1.98-4.04, p ≤ 0.001), and inferior MFS/DFS/PFS/RFS/TTP (HR = 1.88, 95% CI: 1.65-2.15, p ≤ 0.001). The association of SIRI with OS was not significantly affected when stratified by diverse confounding factors. It was suggested that tumor patients with high pretreatment SIRI levels would suffer from adverse outcomes.

Conclusion

High SIRI is associated with unfavorable clinical outcomes in human malignancies; pretreatment SIRI level might be a useful and promising predictive indicator of prognosis in cancers.

Prognostic value of systemic inflammatory marker in patients with head and neck squamous cell carcinoma undergoing surgical resection

Aim: To explore the prognostic value of the systemic inflammatory marker (SIM) based on neutrophil, lymphocyte and monocyte counts in head and neck squamous cell carcinoma (HNSCC) patients. Patients & methods: We retrospectively collected the data of 367 patients with HNSCC who underwent surgery. The Kaplan-Meier survival analysis and Cox regression analysis were conducted on disease-free survival and overall survival. Results: A high SIM (>1.34) was associated with larger tumor size, advanced clinical stage and shorter survival time. The survival analysis showed that only clinical stage and SIM were independent prognostic indicators of disease-free survival and overall survival. Conclusion: The SIM positively correlated with tumor progression and might be a powerful prognostic indicator of poor outcome in patients with HNSCC.