The Prognostic Value of the Combination of the Prognostic Nutritional Index and the Lymphocyte:Monocyte Ratio for the Prediction of Patients with Muscle-Invasive Bladder Cancer

OBJECTIVE

To explore the efficacy of combining the prognostic nutritional index (PNI) and the lymphocyte:monocyte ratio (LMR) for patients with muscle-invasive bladder cancer (MIBC).

METHODS

Of 172 patients who were diagnosed with MIBC in our hospital, 94 were eligible for the study. The clinical data of the 94 patients with MIBC were collected. The patients were divided according to the optimal cut-off values for the preoperative PNI and LMR into a low-PNI subgroup (PNI <44.15, 52 patients), a high-PNI subgroup (PNI ≥44.15, 42 patients), a low-LMR subgroup (LMR <2.98, 50 patients) and a high-LMR subgroup (LMR ≥2.98, 44 patients). The area under the receiver operating characteristic (ROC) curve (AUC) was used to analyse the efficacy of the PNI and the LMR in predicting the prognosis of patients with MIBC. Univariate and multivariate logistic regression analyses were performed to evaluate prognostic factors for patients with MIBC. Kaplan-Meier (K‒M) survival analysis was used for overall survival (OS) analysis to explore the ability of the PNI combined with the LMR to predict the prognosis of patients with MIBC.

RESULTS

The optimal cut-off values for the preoperative PNI and the preoperative LMR were 44.15 and 2.98, respectively, on the basis of ROC curves. ROC curve analysis revealed that the PNI (AUC = 0.720, sensitivity 65.9%, specificity 74.50%, Youden index 0.399) and the LMR (AUC = 0.724, sensitivity 65.9%, specificity 70.0%, Youden index 0.395) both had good prognostic efficacy for patients with MIBC. The results of univariate and multivariate logistic regression analyses showed that preoperative PNI <44.15 was an independent risk factor for OS in patients with MIBC (p = 0.027). Based on K‒M survival curve analysis, patients with PNI <44.15 and LMR <2.98 had the shortest OS (p = 0.00002).

CONCLUSIONS

Low preoperative PNI and LMR values are indicative of poor prognosis in patients with MIBC. The efficacy of their combination was better than that of the factors independently.

Systemic inflammatory response markers for prediction of response to neoadjuvant chemotherapy in patients with advanced gastric cancer

BACKGROUND

Tumour development is greatly influenced by the systemic inflammatory response. Inflammatory factors, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphcyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR), mirror the balance between systemic inflammation and anti-tumour response. The current investigation examined the predictive and prognostic value of NLR, PLR, and LMR in advanced gastric cancer (GC) patients.

METHODS

This study is a retrospective, observational analysis involving 105 GC patients treated with neoadjuvant chemotherapy (NAC). Thestudy population included patients who met the eligibility criteria.The relationship between NLR, PLR, LMR and demographic and clinical variables was assessed using theΧ2test. Survival data were analysed by Kaplan-Meier curves.

RESULTS

High NLR levels were associated with more advanced tumour stage.Higher risk of no tumour regression after NAC was observed if a high pretreatment level of NLR or PLR was found. All patients with an increase in NLR after NAC had a significantly higher risk of no tumor response.In groups high (no change), increase, decrease, and low (no change), NLR and PLR OS medians were: 33, 67, 78, and not reached-NR and 34, 29, 36, and NR, respectively. All patients had a significantly higher risk of death if NLR increased after NAC. An increase in post-NAC PLR level was associated with an increased risk of death only if the PLR baseline value was low.

CONCLUSION

NLR and PLR are promising predictive and prognostic factors in advanced GC patients treated with NAC.

Pretreatment PLR Is Preferable to NLR and LMR as a Predictor in Locally Advanced and Metastatic Bladder Cancer

Background/Aim

Advanced bladder cancer (BC) is associated with an inflammatory nature and poor prognosis Inflammatory biomarkers are potential predictors in BC. We conducted a study to assess the prognostic value of the pretreatment neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in advanced bladder cancer.

Patients and Methods

A total of 226-patients with muscle-invasive BC (MIBC) were included. Overall (OS) and progression-free survival were estimated using the Kaplan-Meier method and the log-rank test was used for comparison. Univariate and multivariate Cox proportional hazard models were used to determine NLR, PLR, and LMR association with OS.

Results

Our patients' median progression-free survival and OS were 12.18 and 15.54 months, respectively. Receiver operating characteristic analysis revealed cut-off values for our chosen inflammatory markers. The patients with high NLR or PLR had inferior median OS compared to their counterparts with lower ratios for both (NLR: 22.51 vs. 9.84 months, respectively, p≤0.001; PLR: 17.68 vs. 14.08 months, respectively, p=0.08). Meanwhile, patients with low LMR had inferior median OS compared to patients with higher LMR (LMR: 20.14 months vs. 10.55 months, respectively, p<0.001). The multivariate Cox regression analysis identified a high PLR as an independent predictive factor of worse OS (hazard ratio=2.774, 95% confidence interval=1.486-5.178, p=0.001) but not NLR or LMR.

Conclusion

PLR, C-reactive protein-to-albumin ratio, and serum LDH levels, but not NLR and LMR, may function as independent predictors in patients with advanced BC prior to systemic treatment.

A prognostic model incorporating inflammatory cells and cytokines for newly diagnosed multiple myeloma patients

Peripheral blood cell counts and cytokines can be used as predictors of multiple myeloma (MM) patients' outcomes. 313 newly diagnosed MM patients treated with novel agents were divided into training and validation cohorts. We selected the common peripheral blood cell counts, including the lymphocyte/monocyte ratio (LMR), neutrophil/lymphocyte ratio (NLR), and platelet/lymphocyte ratio (PLR), systemic inflammation response index (SIRI), and serum cytokines which contained tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-2 receptor (IL-2R), interleukin-8 (IL-8), interleukin-6 (IL-6), and interleukin-10 (IL-10) as related variables. The least absolute shrinkage and selection operator (LASSO) regression was conducted to sort the predictor variables in the training cohort, and then the developed nomogram was assessed in the training and validation cohort. Our study showed that SIRI, PLR, and IL-8 were independent prognostic factors for the survival of MM patients. Patients with lower SIRI (≤ 0.87) had superior survival than patients with higher SIRI (> 0.87). Further, according to the LASSO regression, a nomogram embracing LMR (> 3.78), SIRI (> 0.87), PLR (≤ 106.44), and IL-8 was established. The nomogram demonstrated a better correlation with the outcomes of MM patients in the training cohort than International Staging System (ISS) and Revised-International Staging System (R-ISS). The same results were verified in the validation cohort. The nomogram incorporating inflammatory cells and cytokines could be a helpful tool to stratify MM patients in the era of novel agents.

Association between inflammatory indexes and erectile dysfunction in U.S. adults: National Health and Nutrition Examination Survey 2001-2004

Background

The association of inflammatory biomarkers with erectile dysfunction (ED) is still largely unknown.

Aim

The study sought to explore the association of inflammatory biomarkers with ED in U.S. adults.

Methods

Participant data for this study were extracted from the National Health and Nutrition Examination Survey, and individuals that lacked information on clinical variables were excluded. Dose-response curve analysis was applied to explore the association of inflammatory biomarkers with ED prevalence. The confounders were adjusted for with weighted logistic regression analysis. We employed 1:1 propensity score matching to eliminate the effects of clinical variables to confirm the reliability of the results.

Outcomes

ED prevalence was investigated with potential risk factors.

Results

A total of 2331 men ≥20 years of age who participated in the National Health and Nutrition Examination Survey 2001-2004 were included in this study. Compared with individuals without ED, ED cohort displayed higher levels of neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammatory index, and systemic inflammation response index. Dose-response curve analysis indicated ED prevalence increased with the increase of platelet-to-lymphocyte ratio, systemic immune-inflammatory index, and systemic inflammation response index. Weighed logistic regression analysis revealed neutrophil-to-lymphocyte ratio was positively associated with ED. The reliability of the results was confirmed by 1:1 propensity score matching reanalysis.

Clinical Implications

Individuals with chronic inflammatory conditions should be alert for the development of ED.

Strengths and Limitations

It is a large controlled study to investigate the relationship between inflammatory indexes and ED. However, it is a cross-sectional study and it lacks an accurate assessment of the degree of ED.

Conclusion

Inflammatory biomarkers were associated with ED prevalence.

Association of pre-treatment lymphocyte-monocyte ratio with survival outcome in patients with head and neck cancer treated with chemoradiation

BACKGROUND

Given the role of systematic inflammation in cancer progression, lymphocyte-monocyte ratio (LMR) from peripheral blood has been suggested as a biomarker to assess the extent of inflammation in several solid malignancies. However, the role of LMR as a prognostic factor in head and neck cancer was unclear in several meta-analyses, and there is a paucity of literature including patients in North America. We performed an observational cohort study to evaluate the association of LMR with survival outcomes in North American patients with head and neck cancer.

METHODS

A single-institution, retrospective database was queried for patients with non-metastatic head and neck cancer who underwent definitive chemoradiation from June 2007 to April 2021 at the Roswell Park Comprehensive Cancer Center. Primary endpoints were overall survival (OS) and cancer-specific survival (CSS). The association of LMR with OS and CSS was examined using nonlinear Cox proportional hazard model using restricted cubic splines (RCS). Cox multivariable analysis (MVA) and Kaplan-Meier method were used to analyze OS and CSS. Pre-radiation LMR was then stratified into high and low based on its median value. Propensity scored matching was used to reduce the selection bias.

RESULTS

A total of 476 patients met our criteria. Median follow up was 45.3 months (interquartile range 22.8-74.0). The nonlinear Cox regression model showed that low LMR was associated with worse OS and CSS in a continuous fashion without plateau for both OS and CSS. On Cox MVA, higher LMR as a continuous variable was associated with improved OS (adjusted hazard ratio [aHR] 0,90, 95% confidence interval [CI] 0.82-0.99, p = 0.03) and CSS (aHR 0.83, 95% CI 0.72-0.95, p = 0.009). The median value of LMR was 3.8. After propensity score matching, a total of 186 pairs were matched. Lower LMR than 3.8 remained to be associated with worse OS (HR 1.59, 95% CI 1.12-2.26, p = 0.009) and CSS (HR 1.68, 95% CI 1.08-2.63, p = 0.02).

CONCLUSION

Low LMR, both as a continuous variable and dichotomized variable, was associated with worse OS and CSS. Further studies would be warranted to evaluate the role of such prognostic marker to tailor interventions.

Correlation of immune inflammatory indices and nutritional risk index with prognosis in patients with non-small cell lung cancer

OBJECTIVE

To investigate the relationship of lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and nutritional risk index (NRI) with the prognosis of non-small cell lung cancer (NSCLC).

METHODS

The clinical data of 400 NSCLC patients undergoing surgery at Shaoxing Shangyu Hospital of Traditional Chinese Medicine from January 2019 to June 2022 were collected for this retrospective analysis. The optimal cutoff values for NLR, PLR, LMR and NRI were determined using receiver operating characteristic (ROC) curves. The patients were grouped according to the optimal cutoff values, and the clinicopathological characteristics were compared between groups. The Kaplan-Meier survival curve and Cox risk model were used to identify the independent risk factors affecting the prognosis of patients with NSCLC. A nomogram risk prediction model was constructed and its effectiveness was verified.

RESULTS

ROC curve analysis revealed that the area under the curve (AUC) values for NLR, PLR, LMR and NRI in predicting overall survival of NSCLC patients were 0.827, 0.753, 0.719 and 0.770, respectively. The optimal cutoff values for NLR, PLR, LMR and NRI were 2.49, 126.32, 3.02 and 89, respectively. Survival analysis found that the survival time was shorter in patients with NLR>2.49, PLR>126.32, LMR>3.02 and NRI≤89. Results from Cox model indicated that TNM staging, NLR>2.49, LMR>3.02, NRI≤89, surgical method, intraoperative blood loss, postoperative complication, and adjuvant chemotherapy were risk factors affecting the prognosis of NSCLC patients. A nomogram was constructed based on the results of multivariate analysis. The AUC of the nomogram was 0.967 (95% CI: 0.943-0.992) and 0.948 (95% CI: 0.874-1) in the training set and the test set, respectively. The C-index was 0.90 and 0.89, respectively. The calibration curve demonstrated good agreement between the predicted values of the nomogram and the actual observed values.

CONCLUSION

NLR, LMR and NRI are significant predictors of the prognosis of patients with NSCLC. NLR>2.49, LMR>3.02, and NRI≤89 are risk factors for the prognosis of NSCLC patients.

Neutrophil/Lymphocyte Ratio (NLR) and Lymphocyte/Monocyte Ratio (LMR) - Risk of Death Inflammatory Biomarkers in Patients with COVID-19

Aim

The aim of our retrospective study was search for new prognostic parameters, which can help quickly and cheaply identify patients with risk for severe course of SARS-CoV-2 infection.

Materials and Methods

The following peripheral blood combination biomarkers were calculated: NLR (neutrophil/lymphocytes ratio), LMR (lymphocyte/monocyte ratio), PLR (platelet/lymphocyte ratio), dNLR (neutrophils/(white blood cells - neutrophils)), NLPR (neutrophil/(lymphocyte × platelet ratio)) in 374 patients who were admitted to the Temporary Hospital no 2 of Clinical Hospital in Bialystok (Poland) with COVID-19. The patients were divided into four groups depending on the severity of the course of COVID-19 using MEWS classification.

Results

The NLR and dNLR were significantly increased with the severity of COVID-19, according to MEWS score. The AUC for the assessed parameters was higher in predicting death in patients with COVID-19: NLR (0.656, p=0.0018, cut-off=6.22), dNLR (0.615, p=0.02, cut-off=3.52) and LMR (0.609, p=0.03, cut-off=2.06). Multivariate COX regression analysis showed that NLR median above 5.56 (OR: 1.050, P=0.002), LMR median below 2.23 (OR: 1.021, P=0.011), and age >75 years old (OR: 1.072, P=0.000) had a significant association with high risk of death during COVID-19.

Conclusion

Our results indicate that NLR, dNLR, and LMR calculated on admission to the hospital can quickly and easy identify patients with risk of a more severe course of COVID-19. Increase NLR and decrease LMR have a significant predictive value in COVID-19 patient's mortality and might be a potential biomarker for predicting death in COVID-19 patients.

An Insight into Survivin in Relevance to Hematological, Biochemical and Genetic Characteristics in Tobacco Chewers with Oral Squamous Cell Carcinoma

BACKGROUND

Survivin is an inhibitor of apoptosis protein (IAP), encoded by the Baculoviral IAP Repeat Containing 5 (BIRC5) gene located on q arm (25.3) on chromosome 17. It is expressed in various human cancers and involved in tumor resistance to radiation and chemotherapy. The genetic analysis of the BIRC5 gene and its protein survivin levels in buccal tissue related to oral squamous cell carcinoma (OSCC) in South Indian tobacco chewers has not been studied. Hence, the study was designed to quantify survivin in buccal tissue and its association with pretreatment hematological parameters and to analyze the BIRC5 gene sequence.

METHOD

In a single centric case control study, buccal tissue survivin levels were measured by ELISA. A total of 189 study subjects were categorized into Group 1 (n = 63) habitual tobacco chewers with OSCC, Group 2 (n = 63) habitual tobacco chewers without OSCC, and Group 3 (n = 63) healthy subjects as control. Retrospective hematological data were collected from Group 1 subjects and statistically analyzed. The BIRC5 gene was sequenced and data were analyzed using a bioinformatics tool.

RESULTS

Survivin protein mean ± SD in Group 1 was (1670.9 ± 796.21 pg/mL), in Group 2 it was (1096.02 ± 346.17 pg/mL), and in Group 3 it was (397.5 ± 96.1 pg/mL) with significance (p < 0.001). Survivin levels showed significance with cut-off levels of absolute monocyte count (AMC), neutrophil/lymphocyte ratio (NLR), and lymphocyte/monocyte ratio (LMR) at (p = 0.001). The unique variants found only in OSCC patients were T → G in the promoter region, G → C in exon 3, C → A, A → G, G → T, T → G, A → C, G → A in exon 4, C → A, G → T, G → C in the exon 5 region.

CONCLUSIONS

The tissue survivin level increased in OSCC patients compared to controls; pretreatment AMC, LMR, and NLR may serve as add-on markers along with survivin to measure the progression of OSCC. Unique mutations in the promoter and exons 3-5 were observed in sequence analysis and were associated with survivin concentrations.

Relative growth rate (RGR) and other confounded variables: mathematical problems and biological solutions

BACKGROUND

Relative growth rate (RGR) has a long history of use in biology. In its logged form, RGR = ln[(M + ΔM)/M], where M is size of the organism at the commencement of the study, and ΔM is new growth over time interval Δt. It illustrates the general problem of comparing non-independent (confounded) variables, e.g. (X + Y) vs. X. Thus, RGR depends on what starting M(X) is used even within the same growth phase. Equally, RGR lacks independence from its derived components, net assimilation rate (NAR) and leaf mass ratio (LMR), as RGR = NAR × LMR, so that they cannot legitimately be compared by standard regression or correlation analysis.

FINDINGS

The mathematical properties of RGR exemplify the general problem of 'spurious' correlations that compare expressions derived from various combinations of the same component terms X and Y. This is particularly acute when X >> Y, the variance of X or Y is large, or there is little range overlap of X and Y values among datasets being compared. Relationships (direction, curvilinearity) between such confounded variables are essentially predetermined and so should not be reported as if they are a finding of the study. Standardizing by M rather than time does not solve the problem. We propose the inherent growth rate (IGR), lnΔM/lnM, as a simple, robust alternative to RGR that is independent of M within the same growth phase.

CONCLUSIONS

Although the preferred alternative is to avoid the practice altogether, we discuss cases where comparing expressions with components in common may still have utility. These may provide insights if (1) the regression slope between pairs yields a new variable of biological interest, (2) the statistical significance of the relationship remains supported using suitable methods, such as our specially devised randomization test, or (3) multiple datasets are compared and found to be statistically different. Distinguishing true biological relationships from spurious ones, which arise from comparing non-independent expressions, is essential when dealing with derived variables associated with plant growth analyses.

The predictive value of lymphocyte to monocyte ratio for overall survival in cholangiocarcinoma patients with hepatic resection

BACKGROUND

There is considerable heterogeneity in clinical behavior and survival outcomes in patients with cholangiocarcinoma (CCA), and the prognosis of CCA patients is poor. We proposed lymphocyte to monocyte ratio (LMR) as a novel prognostic element for CCA patients with hepatic resection in present study.

METHODS

By retrospectively analyzing the clinical data of 145 CCA patients with hepatic resection, we determined the optimal LMR cutoff value according to the receiver operating characteristic (ROC). We comparatively analyzed the clinical features of CAA patients between low LMR group and high LMR group, mainly including overall survival (OS) analysis by using the Kaplan-Meier method, univariate and multivariate Cox regression.

RESULTS

We found there was a longer OS in CCA patients of the high LMR group than the low LMR group. The total median OS of cholangiocarcinoma patients were 13.6 months, and the OS of low LMR group was markedly lower than the high LMR group. The 1-year, 3-year, and 5-year OS of high LMR group were respectively 62.9%, 32.4%, and 16.4%, and were significantly higher the cholangiocarcinoma patients of low LMR group (40.2%, 16.4%, and 0%). Multivariate regression analyses showed that preoperative cholangitis, elevated CEA level and nerve invasion were risk factors for the OS of cholangiocarcinoma patients, while the high LMR level and postoperative treatment were protective factors for the OS of cholangiocarcinoma patients.

CONCLUSIONS

Preoperative LMR was a vital prognostic factor to predict the prognosis of CCA patients with hepatic resection and provided additional prognostic value beyond standard clinicopathological parameters.

Clinical Significance and Diagnostic Utility of NLR, LMR, PLR and SII in the Course of COVID-19: A Literature Review

Nowadays, society is increasingly struggling with infectious diseases that are characterized by severe course and even death. Recently, the whole world has faced the greatest epidemiological threat, which is COVID-19 caused by SARS CoV-2 virus. SARS CoV-2 infection is often accompanied by severe inflammation, which can lead to the development of different complications. Consequently, clinicians need easily interpreted and effective markers of inflammation that can predict the efficacy of the treatment and patient prognosis. Inflammation is associated with changes in many biochemical and hematological parameters, including leukocyte counts and their populations. In COVID-19, changes in leukocytes count populations such as neutrophils, lymphocytes or monocytes are observed. The numerous research confirm that indicators like neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelets-to-lymphocyte ratio (PLR) and systemic inflammatory index (SII) may prove effective in assessment patient prognosis and choosing optimal therapy. Therefore, in this review, we would like to summarize the latest knowledge about the diagnostic utility of systemic inflammatory ratios - NLR, LMR, PLR and SII in patients with COVID-19. We focused on the papers evaluating the diagnostic utility of inflammatory ratios using ROC curve published in the recent 3 years. Identification of biomarkers associated with inflammation would help the selection of patients with severe course of COVID-19 and high risk of death.

Prognostic value of multiple immune inflammatory markers in diffuse large B-cell lymphoma

OBJECTIVE

To explore the prognostic value of multiple immune inflammatory indicators for diffuse large B-cell lymphoma (DLBCL).

METHODS

The clinical data of 175 patients with DLBCL who were diagnosed and received Immunochemotherapy in The Qinzhou First People's Hospital between January 2015 and December 2021 were retrospectively analyzed for this study. Patients were classified into a death group (n = 54) and a survival group (n = 121) depending on their prognosis. The clinical data of the patients with lymphocytes-to-beads (LMR), neutrophils-to-lymphocytes (NLR), and platelets-to-lymphocytes (PLR) were collected. The receiver operator characteristic curve (ROC) was used to determine the optimal critical value of the immune index. The Kaplan-Meier was used to draw the survival curve. The Cox regression model was used to analyze the factors affecting the prognosis of DLBCL. A nomogram risk prediction model was constructed to verify its effectiveness.

RESULTS

By the ROC curve analysis, the optimal cut-off value was 3.93 × 10⁹/L for neutrophil count, 2.42 for LMR, 23.6 mg/L for C-reactive protein (CPR), 2.44 for NLR, 0.67 × 10⁹/L for Monocyte, and 195.89 for PLR. The survival rate of patients with neutrophil number ≤ 3.93 × 10⁹/L, LMR > 2.42, CRP ≤ 23.6 mg/L, NLR ≤ 2.44, Monocyte ≤ 0.67 × 10⁹/L, PLR ≤ 195.89 was higher than that of patients with neutrophil number > 3.93 × 10⁹/L, LMR ≤ 2.42, CRP > 23.6 mg/L, NLR > 2.44, and Monocyte > 0.67 × 10⁹/L, PLR > 195.89. The nomogram was constructed based on the results of the multivariate analysis. The AUC of the nomogram was 0.962 (95% CI: 0.931-0.993) and 0.952 (95% CI: 0.883-1) in the training set and the test set, respectively. The calibration curve showed that the predicted value of the nomogram was in good agreement with the actual observed value.

CONCLUSION

IPI score, neutrophil count, NLR, and PLR are risk factors impacting the prognosis of DLBCL. The combined prediction of IPI score, neutrophil count, NLR, and PLR can better reflect the prognosis of DLBCL. It can be used as a clinical index to predict the prognosis of diffuse large B-cell lymphoma, and provide clinical basis for improving the prognosis of patients.

Corrigendum: Immune cell-lipoprotein imbalance as a marker for early diagnosis of non-small cell lung cancer metastasis

[This corrects the article DOI: 10.3389/fonc.2022.942964.].

Immune cell-lipoprotein imbalance as a marker for early diagnosis of non-small cell lung cancer metastasis

The underlying molecular mechanisms and evolutionary patterns of lung cancer metastasis remain unclear, resulting in a lack of effective indicators for early diagnosis of metastasis. We retrospectively analyzed 117 patients with primary non-small cell lung cancer (NSCLC) admitted to Tongji Hospital of Tongji University in 2021, of which 93 patients with tumor metastasis were set as the metastasis group. 24 patients without metastasis were set as the non-metastasis group. The differences of each index in the two groups of patients and the expression levels in different TNM stages were compared. This study intends to evaluate the diagnostic value and net clinical benefit of common blood-related indicators Neutrophil/lymphocyte (NLR), lymphocyte/monocyte (LMR), High density lipoprotein/neutrophil (HNR), High density lipoprotein/monocyte (HMR) and combined assays in NSCLC metastasis for the early diagnosis of patients with NSCLC metastasis. It was found that the level of NLR was higher in metastatic NSCLC than non-metastatic, but the level of LMR, HNR and HMR was lower. The levels of NLR, LMR, HNR and HMR in patients with different TNM stages showed that NLR levels increased with TNM stage, while LMR, HNR and HMR levels decreased. The threshold probability range of the 4 combined tests was greater and the overall clinical benefit rate was higher compared to the individual tests. Our findings suggest that NLR, LMR, HNR and HMR have better diagnostic value for NSCLC metastasis. This study provides a clinical basis for investigating the mechanisms by which immune cells and lipid metabolism-related proteins remodel the microenvironment prior to NSCLC metastasis.

Peripheral Blood Cell Ratios as Prognostic Indicators in a Neoadjuvant Chemotherapy-Treated Breast Cancer Cohort

Breast cancer represents a heterogeneous condition in which the interaction between host immune response and primary oncogenic events can impact disease progression. Ratios of systemic blood-based immunocytes have emerged as clinically-relevant prognostic biomarkers in cancer patients. The NLR (neutrophil-to-lymphocyte ratio) has been shown to be prognostic in a variety of cancers, including breast cancer. However, evaluation of the prognostic value for overall survival (OS) and disease-free survival (DFS) of other key immunocyte ratios-neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-white cell count ratio (NWR), lymphocyte-to-white cell count ratio (LWR), monocyte-to-white cell count ratio (MWR), platelet-to-lymphocyte (PLR)-by breast cancer subtypes in a neoadjuvant chemotherapy (NAC) cohort remains to be fully explored. An NAC-treated breast cancer cohort, comprised of Luminal A, Luminal B, HER2-positive, and triple negative/basal breast cancers, treated at a tertiary referral center (minimum 3-year follow-up), was used to calculate immunocyte ratios and immunocyte cut-off values, calculated with >80% specificity (using decision tree modeling). The association with subtype-specific OS, DFS, and tumor grade was analyzed using cut offs calculated using both receiver operating characteristic curves and decision tree modelling. Decision tree calculated ratios showed that LMR (5.29) and MWR (0.06) were significantly associated with Luminal A OS (p = 0.004 and p = 0.022) and DFS (p = 0.004 and p = 0.022), and Luminal B OS (p = 0.027 and p = 0.008) and DFS (p = 0.005 and p = 0.007). NLR (1.79) and LWR (0.30) were significantly associated with HER2-positive OS (p = 0.013 and p = 0.043). NLR (1.79) and NWR (0.62) were significantly associated with DFS (p = 0.035 and p = 0.021). No significant association we observed between any immunocyte ratio in the triple negative cohort. Our results demonstrate the subtype-specific prognostic value of immunocyte ratios in NAC-treated breast cancer patients. Further validation of immunocyte ratios will provide clinicians with a new prognostic aid for disease management and monitoring.

Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio Can Predict the Severity in COVID-19 Patients from Ethiopia: A Retrospective Study

Background

Coronaviruses are a broad family of pathogens that can cause mild to severe respiratory illnesses. Due to a strong inflammatory response and a weak immunological response, viral pneumonia inflammation, like Coronavirus Disease 2019 (COVID-19), displays an unbalanced immune response. Therefore, circulating biomarkers of inflammation and the immune system can serve as reliable predictors of a patient's prognosis for COVID-19. Hematological ratios are reliable markers of inflammation that are frequently utilized in pneumonia, primarily in viral infections with low cost in developing countries.

Purpose

To examine the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in predicting the severity of COVID-19 patients.

Methods

An institutional-based retrospective study was done on 105 hospitalized COVID-19 patients at the University of Gondar comprehensive specialized referral hospital, Northwest Ethiopia. The laboratory evaluations that were gathered, evaluated, and reported on included the total leucocyte count (TLC), absolute neutrophil count (ANC), absolute lymphocyte count (ALC), absolute monocyte count (AMC), NLR, LMR, and PLR. The Kruskal-Wallis test and Wilcoxon matched-pairs signed test were used to see whether there were any differences between the continuous variables. Receiver operating curve (ROC) analysis was used to determine the appropriate cut-off values for NLR, PLR, and LMR. P-value <0.05 was considered a statistically significant association.

Results

ANC, NLR, and PLR were highest in the critical group (p = 0.001), while this group had the least ALC and LMR (p = 0.001). We calculated the optimal cut-off values of the hematological ratios; NLR (8.4), LMR (1.4), and PLR (18.0). NLR had the highest specificity and sensitivity, at 83.8% and 80.4%, respectively.

Conclusion

Our research showed that NLR and PLR were good indicators of severity in COVID-19. However, our findings indicate that MLR is not a reliable predictor.

New inflammatory biomarkers (lymphocyte and monocyte percentage to high-density lipoprotein cholesterol ratio and lymphocyte to monocyte percentage ratio) and their association with some cardiometabolic diseases : Results from a large Kurdish cohort study in Iran

BACKGROUND

The incidence of metabolic heart diseases has increased significantly in Middle Eastern countries such as Iran. The present study aimed to investigate the association between monocyte percentage to high-density cholesterol ratio (MHR), lymphocyte percentage to high-density cholesterol ratio (LHR), and lymphocyte to monocyte percentage ratio (LMR) and cardiometabolic diseases in a Kurdish population in the west of Iran.

METHODS

This study recruited 9803 individuals, 4728 (48.2%) were male and 5084 (51.8%) were female from Ravansar, Iran. All biomarkers were analyzed by the standard methods.

RESULTS

The prevalence of cardiometabolic diseases was higher in overweight/obese participants and increased with age. MHR and LHR increased significantly in cardiometabolic individuals compared with healthy controls. Individuals in the fourth quartiles of LHR and MHR had higher odds ratio (ORs) for metabolic syndrome (MetS) and diabetes mellitus (DM) than the first quartiles. The LMR had a statistical association with non-alcoholic fatty liver disease (NAFLD) ORs and FLI. Besides, all these associations were stronger for females, and increased physical activity decreased inflammatory biomarkers.

CONCLUSION

The present study showed MHR and LHR had significant associations with ORs of MetS and DM. Also, MHR and LHR had a significant positive correlation with cardiometabolic risk factors. The LMR only had a statistical association with NAFLD and fatty liver index (FLI). Besides, the strong correlation between inflammatory biomarkers and cardiometabolic risk factors in females might be relevant to higher fat accumulation and metabolic inflammation background, and lower physical activity.

Prognostic Significance of NLR, PLR, LMR and Tumor Infiltrating T Lymphocytes in Patients Undergoing Surgical Resection for Hilar Cholangiocarcinoma

Objective

This study evaluated the prognostic significance of preoperative neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and tumor-infiltrating lymphocytes (TILs), and whether these preoperative blood inflammatory indicators were associated with TILs in hilar cholangiocarcinoma (HCCA).

Methods

A total of 76 patients with HCCA who underwent radical resection were included. Data on their clinicopathologic characteristics, perioperative features, and survival outcomes were analyzed. The optimal cutoff levels for the NLR, PLR and LMR were defined by using the web application Cut-off Finder. The densities of specific immune cells (CD3⁺, CD4⁺, CD8⁺) within the tumor microenvironment were examined by immunohistochemical. The association of the number of CD3⁺, CD4⁺ and CD8⁺ T cells infiltration in the local tumor microenvironment with preoperative NLR, PLR and LMR level was analyzed. Survival curves were calculated using the Kaplan-Meier estimate. Univariate and multivariate logistic regression models were used to identify factors associated with overall survival.

Results

The optimal cutoff value of preoperative NLR, PLR and LMR was 2.00, 117.60, and 4.02, respectively. NLR was significantly negatively correlated with CD3⁺ and CD8⁺ T cell infiltration, but not with CD4⁺ T cells. PLR had no correlation with CD3⁺, CD4⁺, or CD8⁺ T cell infiltration, while LMR had a significantly positive correlation with CD3⁺ T cells infiltration but not with CD4⁺ or CD8⁺ T cells. In the multivariate logistic regression model, T stage, lymph node metastasis, CA19-9 and LMR were independent risk factors associated with overall survival (OS). Survival curves indicated that HCCA patients with low CD3⁺ T cells infiltration and low preoperative LMR live shorter than others.

Conclusions

LMR played as an independent factor for predicting the survival in patients with HCCA after R0 radical resection. A high LMR was associated with an accumulation of CD3⁺ T cells in HCCA.

NLR, PLR, LMR and MWR as diagnostic and prognostic markers for laryngeal carcinoma

OBJECTIVE

To evaluate whether neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and monocyte-to-white blood cell ratio (MWR) can be used as diagnostic and prognostic markers for laryngeal carcinoma (LC).

METHODS

In this retrospective study, 50 patients with LC treated in the Department of Otolaryngology, Head and Neck Surgery of Beijing Tongren Hospital from August 2014 to August 2015 were enrolled in research group. In addition, 40 healthy volunteers from the same period were selected as control group. The counts of white blood cells, neutrophils, lymphocytes, monocytes and platelets in the peripheral blood of participants were measured with a blood counting instrument (Sysmex XE-2100, Sysmex Corporation, Japan), and the NLR, PLR, LMR and MWR were calculated. After that, the survival rate of patients was observed through a 5-year follow-up. The prognostic value of the above four indexes and their combination was discussed in patients with different clinical characteristics.

RESULTS

Compared with the control group, the NLR, PLR and MWR were higher and the LMR was lower in the research group. In terms of survival, patients with higher NLR, PLR and MWR and lower LMR showed a higher 5-year mortality than those with lower NLR, PLR and MWR and higher LMR, indicating that NLR, PLR and MWR were higher and LMR was lower in the survival group than in the death group. Subsequent analysis identified that NLR, PLR, LMR and MWR were closely correlated with age, alcohol drinking, smoking, clinical staging and T-staging. Clinical staging, T-staging, NLR, PLR, LMR, and MWR were confirmed as influencing factors for LC.

CONCLUSIONS

NLR, PLR, LMR, and MWR can be used as diagnostic and prognostic markers for LC and their combination has a superior diagnostic performance.

Clinical and diagnostic significance of blood leukocyte ratios in young patients with stage III grade C periodontitis

OBJECTIVES

Blood leukocyte ratios have been recently proposed as simple, rapid, cheap and easily accessible biomarkers of systemic inflammation. However, little is known about the relationship of neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) with periodontitis, which might not only serve as the potential biomarkers of systemic inflammation but also aid in diagnosis/screening of severe periodontitis. Hence, the purpose of this study was to evaluate the differences in the serum levels of these leukocyte ratios in healthy subjects and patients with generalized stage III Grade C periodontitis, and their applicability in identifying patients with the risk of developing severe periodontitis.

MATERIAL AND METHODS

The subjects were categorized into case and control group. Clinical parameters including Plaque index (PI), modified Gingival Index (mGI), Mean ratio of bleeding sites, Probing Pocket depth (PPD) and the clinical attachment loss (CAL) were assessed in both the groups. Venous blood samples were collected from subjects from both groups for the biochemical analysis and blood leukocyte ratios- NLR, PLR and LMR were calculated. The values were then subjected to statistical analysis.

RESULTS

The results showed significantly higher NLR and lower LMR values in patients with generalized stage III grade C periodontitis. Both the blood leukocyte ratios were moderately associated with increasing clinical parameters of periodontal disease. However, the values of PLR, although found to be higher in the periodontitis group, did not make a significant difference when compared with periodontally healthy subjects. The cut-off value of >2.15 for NLR and <7.16 for LMR fairly predicted the risk of severe periodontitis in young adults.

CONCLUSIONS

NLR and LMR can provide a new insight into the relationship between periodontitis and systemic diseases and can be of potential diagnostic value in identifying patients with severe periodontitis of younger age group.

Effects on white blood cell counts and the NLRP3 inflammasome due to dust and cobalt exposure in the hard metal industry

INTRODUCTION

In light of potential negative health effects of cobalt exposure, a characterization of inflammatory mechanisms in exposed individuals is warranted. The current study investigated cobalt exposure in the Swedish hard metal industry and its relationship to inflammatory markers, including NLRP3 inflammasome activation and white blood cell (WBC) counts.

MATERIALS AND METHODS

Inhalable cobalt and dust exposures, and systemic cobalt levels, were determined for 72 workers in the hard metal industry and linear regression models were applied to correlate exposure to markers of inflammasome activation and WBC counts.

RESULTS

Mean exposures to inhalable dust (0.11 mg/m³) and cobalt (0.0034 mg/m³) were below the Swedish occupational exposure limits, and these low exposures did not correlate with any investigated outcomes. Instead, cobalt blood levels significantly correlated with a ca 10% decrease in IL-18 plasma levels per 10 nM cobalt increase. Furthermore, pre-shift cobalt blood and/or urine levels significantly correlated with some WBC measures, including decreased neutrophil-to-lymphocyte ratio, increased lymphocyte-to-monocyte ratio, and lymphocyte counts.

CONCLUSION

The low inhalable particle exposures had no impact on WBC counts and inflammasome activation. Instead, systemic cobalt levels, which also include skin exposure, demonstrated possible suppressive effects on inflammatory responses in cobalt-exposed individuals in the hard metal industry.

Association of haematological biomarkers with severity of COVID-19 pneumonia

Background:

Coronavirus disease 2019 (COVID-19) was first reported in Wuhan, China in December 2019. It is caused by SARS-CoV-2, a beta coronavirus. In this study, we assessed the association of biomarkers such as neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte monocyte ratio (LMR) with the severity of COVID-19 in patients.

Methods:

This retrospective observational study was carried out at a tertiary care hospital of the sub-Himalayan region of Uttarakhand over a period of six months from May to October 2020. A total of 350 patients with confirmed RT-PCR COVID-19 infection were included in the study. Detailed clinical, demographic and biochemical data of each patient was obtained from the hospital record section after permission from the Institute Ethical Committee. NLR, PLR and LMR ratios were calculated and compared with the outcomes in each patient. The patients were subdivided into two sub-groups: those with saturation less than 94% and those with saturation more than 94%. The patients were categorised as mild (with SpO₂ of > 94%) and moderate-severe (with SpO₂ of ≤94%) based on oxygen saturation.

Results:

A total of 350 patients with Covid-19 pneumonia were enrolled in the study. The mean age of the patients with oxygen saturation of ≤94% was 54.91 ± 13.29 years, which was comparable to the other group. Absolute neutrophil count (ANC) and NLR were significantly higher in patients with a saturation of < 94%. However, LMR and PLR were significantly lower in the group with saturation of <94%. Thus, a significant association was found between haematological inflammatory ratios and the severity of COVID-19 infection.

Conclusion:

NLR, LMR and PLR ratios can be utilised as point of care markers to assess severity in patients with COVID-19 pneumonia.

Biomarkers of Systemic Inflammation in Patients with Glioblastoma: An Analysis of Correlation with Tumour-Related Factors and Survival

Background

Biomarkers of systemic inflammation (BMSIs), including haemogram cell counts (CC, e.g., absolute neutrophil count) and cell count-ratios (CCR, e.g., the neutrophil-lymphocyte ratio, etc.), have been found to have prognostic significance in many solid-organ cancers.

Aims

In this three-part study, we first examined if the CCs and CCRs were altered in patients with glioblastoma (GBM) when compared with healthy controls. Second, we evaluated for any correlation between the BMSIs and patient- and tumour-related factors. Third, we evaluated the influence of the CCs and CCRs on survival.

Methods

This was a retrospective analysis of patients who underwent surgery/biopsy for a newly diagnosed brain tumour that was subsequently confirmed to be GBM (Cases). Controls were healthy individuals who underwent pre-employment screening blood tests.

Statistical Methods

Parametric tests were used to compare normally distributed continuous variables, whereas non-normally distributed variables were compared using non-parametric tests. Thresholds for the BMSIs were determined using X-tile analysis. Cox regression using the proportional hazards model was used for survival analyses around the determined thresholds.

Results

All CCs and CCRs were altered in Cases compared with Controls. Presentation with raised intracranial pressure, altered sensorium, poor performance status, loss of ATRX, and lack of p53 overexpression was associated with an inflammatory phenotype of changes in the BMSIs. The inflammatory phenotype of changes was associated with poor survival.

Conclusions

A significant inflammatory response was found in patients with GBM and correlated with clinical features, the molecular profile of the tumour and poor survival.

Association of Lymphocyte to Monocyte Ratio and Risk of in-Hospital Mortality in Patients with Cardiogenic Shock: A Propensity Score Matching Study

Background

Lymphocyte to monocyte ratio (LMR) has been long implicated in the prediction of many inflammatory-related diseases. However, the possible value as prognostic marker of LMR have not been evaluated in cardiogenic shock (CS) patients. The aim of the study was to assess the relationship between LMR on admission and in-hospital mortality in CS patients.

Methods

Data on patients diagnosed with CS were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. We performed a single-institution, retrospective study of 1487 CS patients and determined the optimal cut-off for LMR by X-tile software. Propensity score matching (PSM) and inverse probabilities of treatment weighting (IPTW) were conducted to control confounders. Cox proportional hazards model was performed to evaluate the relationship between LMR and in-hospital mortality. Kaplan-Meier curves and receiver operating characteristics (ROC) analysis were applied to assess the prognostic value of LMR.

Results

The optimal cut-off value for LMR was 0.9. Cox proportional hazards model demonstrated that lower LMR (< 0.9) was independently associated with in-hospital mortality with hazard ratio (HR) of 1.40 (1.12-1.74, P = 0.003). The results were consistent with survival analyses (P < 0.001, Log rank test). Adding LMR< 0.9 to the sequential organ failure assessment (SOFA) score improved discrimination and risk stratification for in-hospital mortality.

Conclusion

Lower level of LMR is related to higher risk of in-hospital mortality of patients with CS. As an easily available biomarker, LMR can independently predict the in-hospital mortality in CS patients.

Prognostic role of hematologic parameters of metastatic renal cell carcinoma treated with sunitinib

BACKGROUND

Hemochrome parameters at the diagnosis of metastatic renal cell carcinoma (mRCC) and the development of macrocytosis during sunitinib therapy are considered prognostic.

OBJECTIVE

To evaluate the prognostic role of hematologic parameters and macrocytosis in mRCC treated with sunitinib.

METHODS

We analyzed clinical data of 100 patients with mRCC treated with sunitinib as first-line therapy in a retrospective multicenter study. We calculated neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) at baseline and erythrocyte mean corpuscular volume (MCV) during therapy. We considered the following cutoffs: NLR >3, PLR >150, LMR <3, and MCV >100 fl. Clinical data histology, prior nephrectomy, Fuhrman grading, metastatic sites, Memorial Sloan-Kettering Cancer Center score, and Heng score were collected. Overall survival (OS) and progression-free survival (PFS) were calculated. Univariate and multivariate analysis using Cox regression model with time-dependent (macrocytosis) covariate were applied.

RESULTS

At the univariate analysis, low LMR was associated with shorter PFS and OS (p = 0.02 and p = 0.06, respectively). High PLR was associated with worse PFS (p = 0.005); median OS was 23 vs 28 months (p = 0.13). At the multivariate analysis, poor risk (Heng score), low LMR, and high PLR were associated with shorter PFS (hazard ratio 7.1, 1.5, and 2, respectively); poor PS and poor risk (Heng score) were related to worst OS. Macrocytosis was observed in 26 patients and was not prognostic of survival.

CONCLUSIONS

In our cohort of patients with mRCC treated with sunitinib, low LMR (>3) and high PLR (>150) were associated with shorter PFS. Macrocytosis was not prognostic.

Can Hematological Ratios Predict Outcome of COVID-19 Patients? A Multicentric Study

Introduction

Coronaviruses belong to a large family that leads to respiratory infection of various severity. Hematological ratios are indicators of inflammatory response widely used in viral pneumonia with affordability in developing countries.

Purpose

Study the role of the neutrophil lymphocyte ratio (NLR), derived NLR ratio (d-NLR), platelet lymphocyte ratio (PLR), and lymphocyte monocyte ratio (LMR) in predicting the outcome of COVID-19 Egyptian patients.

Methods

A retrospective study on 496 COVID-19 Egyptian patients, managed in four tertiary centers, grouped into non-severe, severe, and critical. Patients’ laboratory assessment including total leucocyte count (TLC), absolute neutrophil count (ANC), absolute lymphocyte count (ALC), absolute monocyte count (AMC), NLR, d-NLR, LMR and, PLR were reported as well as C reactive protein (CRP), D-dimer and serum ferritin.

Results

TLC, ANC, AMC, NLR, d-NLR and, PLR were highest in the critical group (p<0.001 for all except AMC p=0.033), while this group had the least ALC and LMR (p=0.049 and <0.001, respectively). Higher CRP and d-dimer levels were reported in the critical group (p<0.001). At the same time, higher ferritin was found in the severe group more than the critical and non-severe groups (p<0.001, p=0.005, respectively). We calculated the optimal cut-off values of the hematological ratio; NLR (3.5), d-NLR (2.86), PLR (192), and LMR (3). D-NLR had the highest specificity (89.19%), while NLR had the highest sensitivity (71.38%). By univariate logistic regression, age, DM, HTN, cardiovascular diseases, COPD, NLR, d-NLR, LMR and PLR, CRP, steroid, oxygen aids, and mechanical ventilation were associated with the severity of COVID-19. Still, only age, NLR, CRP, and oxygen aid were independent predictors in multivariate logistic regression.

Conclusion

NLR is a predictor for severity in COVID-19. LMR, d-NLR, and PLR may assist in risk stratification.

Evaluation of the prognostic role of NLR, LMR, PLR, and LCR ratio in COVID-19 patients

We aimed to find the most useful biomarker by examining the prognostic effect of neutrophil‐lymphocyte ratio (NLR), lymphocyte‐monocyte ratio (LMR), platelet‐lymphocyte ratio (PLR), and lymphocyte‐C reactive protein ratio (LCR) in patients with coronavirus disease 2019 (COVID‐19). Three hundred and four patients diagnosed with COVID‐19 infection in our hospital within 5 months (April–August 2020) were examined. Laboratory values and demographic findings of the patients were analyzed retrospectively. Thirty‐six patients were diagnosed with severe cases. The ratio of NLR, LMR, PLR, and LCR of patients with severe and those with nonsevere clinical symptoms were statistically analyzed. The NLR and PLR ratios of those with severe clinical symptoms were significantly higher (p < 0.001), the LCR rate was significantly lower (p < 0.001), and there was no significant difference in the LMR rate (p = 0.199). When we examined other peripheral blood parameters, we found that CRP was high, lymphocyte and monocyte were low (p < 0.001), but neutrophil (p = 0.416) and platelet (p = 0.998) were not statistically different between the groups. According to the results, routine blood values are abnormal in patients with COVID‐19. NLR, PLR, and LCR ratios can be used as more significant biomarkers than other values in predicting the prognosis of patients.

— Coronavirus disease 2019 (COVID‐19) is a respiratory illness caused by the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), a novel coronavirus.

— It is important to anticipate which patients may be more fatal.

— Circulating biomarkers that show inflammation can be good indicators for prognosis of COVID‐19 patients.

— COVID‐19 causes changes in peripheral blood parameters.

— NLR, PLR, and LCR values were significantly higher in severe COVID 19 positive patients, supporting the fact that it can be a prognostic biomarker.

Understanding LSTM Network Behaviour of IMU-Based Locomotion Mode Recognition for Applications in Prostheses and Wearables

Human Locomotion Mode Recognition (LMR) has the potential to be used as a control mechanism for lower-limb active prostheses. Active prostheses can assist and restore a more natural gait for amputees, but as a medical device it must minimize user risks, such as falls and trips. As such, any control system must have high accuracy and robustness, with a detailed understanding of its internal operation. Long Short-Term Memory (LSTM) machine-learning networks can perform LMR with high accuracy levels. However, the internal behavior during classification is unknown, and they struggle to generalize when presented with novel users. The target problem addressed in this paper is understanding the LSTM classification behavior for LMR. A dataset of six locomotive activities (walking, stopped, stairs and ramps) from 22 non-amputee subjects is collected, capturing both steady-state and transitions between activities in natural environments. Non-amputees are used as a substitute for amputees to provide a larger dataset. The dataset is used to analyze the internal behavior of a reduced complexity LSTM network. This analysis identifies that the model primarily classifies activity type based on data around early stance. Evaluation of generalization for unseen subjects reveals low sensitivity to hyper-parameters and over-fitting to individuals’ gait traits. Investigating the differences between individual subjects showed that gait variations between users primarily occur in early stance, potentially explaining the poor generalization. Adjustment of hyper-parameters alone could not solve this, demonstrating the need for individual personalization of models. The main achievements of the paper are (i) the better understanding of LSTM for LMR, (ii) demonstration of its low sensitivity to learning hyper-parameters when evaluating novel user generalization, and (iii) demonstration of the need for personalization of ML models to achieve acceptable accuracy.

Predictive values of the postoperative neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio for the diagnosis of early periprosthetic joint infections: a preliminary study

Background

Several studies have been conducted to report diagnostic values of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in the many diseases, such as oncological, inflammatory, and some infectious diseases. However, the predictive value of these laboratory parameters for early periprosthetic joint infections (PJIs) has not yet been reported. The aim of this study was to determine predictive values of the postoperative NLR, PLR, and LMR for the diagnosis of PJIs.

Methods

In this retrospective study, 104 patients (26 early PJI cases and 78 non-PJI cases) who underwent total joint arthroplasty were enrolled in this study. All the patients were then categorized into two groups: PJI group, patients with the diagnosis of PJI (26 patients; 14 males, 12 females; mean age = 65.47 ± 10.23 age range = 51–81 ) and non-PJI group, patients without PJI (78 patients; 40 males, 38 females; mean age = 62.15 ± 9.33, age range = 41–92). We defined “suspected time” as the time that any abnormal symptoms or signs occurred, including fever, local swelling, or redness around the surgical site between 2 and 4 weeks after surgery and before the diagnosis. Suspected time and laboratory parameters, including NLR, PLR, LMR, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP), were compared between both groups. The trends of postoperative NLR, LMR, PLR, CRP, and ESR were also reviewed. The predictive ability of these parameters at the suspected time for early PJI was evaluated by multivariate analysis and receiver operating characteristic (ROC) curve analysis.

Results

NLR, PLR, and LMR returned to preoperative levels within 2 weeks after surgery in the two groups. In the PJI group, NLR and PLR were significantly increased during the incubation period of infection or infection, and LMR was significantly reduced, although 61.5% (16/26) of the patients had normal white blood cells. Interestingly, ESR and CRP were still relatively high 2 weeks after surgery and were not different between the two groups before infection started (p = 0.12 and 0.4, respectively). NLR and PLR were significantly correlated with early PJI (Odds ratios for NLR and PLR = 88.36 and 1.12, respectively; p values for NLR and PLR = 0.005 and 0.01, respectively). NLR had great predictive ability for the diagnosis of early PJI, with a cut-off value of 2.77 (sensitivity = 84.6%, specificity = 89.7%, 95% CI = 0.86–0.97).

Conclusions

ESR and CRP seem not to be sensitive for the diagnosis of early PJI due to their persistently high levels after arthroplasty. The postoperative NLR at the suspected time may have a great ability to predict early PJI.

Cytoreductive surgery plus hyperthermic intraperitoneal chemotherapy in patients with peritoneal carcinomatosis from colorectal cancer: The prognostic impact of baseline neutrophil-lymphocyte, platelet-lymphocyte and lymphocyte-monocyte ratios

PURPOSE

In this retrospective analysis we sought to determine if the preoperative neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) were predictive of both operability and survival in those patients presenting with peritoneal carcinomatosis (PC) from colorectal cancer (CRC) who underwent cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC).

METHODS

Analysis included all patients admitted between 2009 and 2017 with PC from CRC who were treated with curative intent by CRS-Mitomycin C-HIPEC. Patients were assessed pre- and intra-operatively by the PC index (PCI) and by a completeness of cytoreduction (CC) score with calculation of Kaplan-Meier survival curves and multivariate analysis of prognostic factors. Discrimination was made for NLR >3.5, PLR >168.8 and LMR >4.4.

RESULTS

We identified 98 CRC patients undergoing 105 CRS-HIPEC procedures. There were no associations detected between NLR/PLR/LMR and the rates of incomplete or abandoned CRS cases. Overall survival (OS) after CRS-HIPEC was worse with high versus low NLR (19.9 mths vs. 45.7 mths, respectively; P = 0.009) and also with low versus high LMR (27.1 mths vs. 53.2 mths, respectively; P = 0.01). On multivariate analysis, a low LMR (P = 0.008), the preoperative CT PCI value (P = 0.004), poor tumor differentiation (P = 0.023) and the preoperative CEA level (P < 0.001) were all independent variables associated with a worse OS after surgery.

CONCLUSIONS

The baseline LMR value may have potential value as a selection tool for CRS-HIPEC in patients with CRC-related PC.

The Relationship between Hematological Markers of Systemic Inflammation (Neutrophil-To-Lymphocyte, Platelet-To-Lymphocyte, Lymphocyte-To-Monocyte Ratios) and Ultrasound Disease Activity Parameters in Patients with Rheumatoid Arthritis

Background: An accurate measurement of disease activity is essential for the appropriate management of a patient with rheumatoid arthritis (RA). Hematological markers of systemic inflammation (Neutrophil-to-Lymphocyte (NLR), Platelet-to-Lymphocyte (PLR) and Lymphocyte-to-Monocyte (LMR) ratios) are reported to be novel, sensitive measures of inflammatory response, in addition to conventional markers (erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), Disease Activity Score (DAS28)). The goal of the study was to assess the relationship of NLR, PLR, and LMR with ultrasonography (US) parameters of disease activity in RA patients. Methods: The study group consisted of 126 consecutive RA patients (100 women, 26 men). The following assessments were performed: joint counts, DAS28, complete blood cell counts, ESR, CRP, and US of 24 small joints. Results: NLR and PLR were significantly positively correlated with all US parameters of disease activity (Grey Scale US, Power Doppler US, and Global scores). The mean values of NLR and PLR were significantly higher in patients with poor prognostic factors: moderate/high vs. low disease activity (NLR: p < 0.001; PLR: p = 0.007), anti-CCP positive vs. anti-CCP negative (NLR: p = 0.01; PLR: p = 0.006). In multiple regression tests, significant correlations were confirmed for: NLR and DAS28 (p = 0.04), and CRP (p = 0.001); PLR and Power Doppler US (p = 0.04), and ESR (p = 0.02). No correlation was found for LMR. Conclusion: NLR and PLR are associated with US disease activity parameters and may serve as reliable, inexpensive markers, with prognostic significance in RA.

Blood Cell Count Derived Inflammation Indexes in Patients with Idiopathic Pulmonary Fibrosis

Purpose

Inflammation and immunity play a pivotal but yet unclear role in idiopathic pulmonary fibrosis (IPF), a chronic disorder characterized by progressive damage of lung parenchyma and severe loss of lung function despite optimal treatment. However, the pathophysiological and predictive role of combined blood cell count indexes of inflammation in IPF is uncertain.

Methods

Seventy-three patients with IPF and 62 healthy subjects matched for age, gender and smoking status were included in this cross-sectional study.

Results

We found significant differences in neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), systemic inflammation response index (SIRI) and aggregate index of systemic inflammation (AISI) between IPF patients and healthy controls. In logistic regression, all combined blood inflammation indexes, barring PLR, were independently associated with the presence of IPF after adjusting for age, gender, body mass index and smoking status. Furthermore, significant associations between FVC% and NLR, LMR, SIRI and AISI, and between DLCO% and NLR, dNLR, LMR, SIRI and AISI, were observed.

Conclusions

In conclusion, our data indicate significant alterations of combined blood cell count indexes of inflammation in IPF.

Neutrophil and lymphocyte blood count as potential predictive indicators of nivolumab efficacy in metastatic non-small-cell lung cancer

Aim: We retrospectively evaluated the role of neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) as prognostic factors in metastatic non-small-cell lung cancer patients treated with nivolumab. Materials & methods: Medical records of 65 patients were reviewed. NLR and LMR were calculated at baseline (t0) and at first radiological tumor assessment (t1). Results: At univariate analysis, low NLR or high LMR values at t0 were associated with longer overall survival (p = 0.0001). At multivariate analysis including NLR and LMR at t0 and t1 and their trend, only NLR at t1 (p < 0.0001) and NLR trend (p < 0.0001) were significantly associated with overall survival outcomes. Conclusion: Our study suggests that NLR value at first tumor assessment or NLR trend could be used as prognostic indicators during nivolumab treatment in metastatic non-small-cell lung cancer.

Prognostic value of systemic inflammatory factors NLR, LMR, PLR and LDH in penile cancer

Background

Penile squamous cell carcinoma (PSCC) represents an important public health problem for developing countries. The major prognostic factors in PSCC are pathological subtype, perineural invasion, lymphovascular invasion, depth of invasion and grade, which are hard to obtain precisely before the operation. Besides, micro-metastases will be detected in about 30% of intermediate-risk patients with clinically non-palpable inguinal lymph nodes after inguinal lymph node dissection (ILND). It means approximately 70% of patients are unable to benefit from ILND who might suffered from the complications of surgery. We hope some biomarkers could be found which are able to predict the outcome before surgery and reflect the inguinal lymph nodes metastasis.

Methods

A total of 349 consecutive patients of penile cancer in Yunnan cancer hospital in China between October 2002 and December2017. Two hundred twenty-five was succeed to follow-up. The association between NLR, LMR, PLR, LDH and Overall survival (OS), progression free survival (PFS), inguinal lymph node (N stage) was analyzed with K-M analysis, univariable, multivariable logistic regression and Kendall’s tau-b correlation coefficient.

Results

Multivariable analysis reveal that only PLR was significant independent factor which is associated with inferior OS and PFS; Age and LDH was associated with inferior OS; Lymph node and metastatic status remained significant for OS and PFS as NCCN and EAU Guidelines indicated; the tumor type, initial treatment and NLR LMR were not significant in predicting both OS and PFS. NLR, LMR and PLR were corresponded to N stage, while LDH was not associated with the N stage based on logistic regression model analysis. NLR, LMR and PLR were found weakly related to N stage through an application of Kendall’s tau-b correlation coefficient.

Conclusions

PLR was significant independent factors for OS and PFS, Age and LDH was significant independent factors for OS. NLR, LMR, PLR was corresponded to N stage.

A Simple Model Established by Blood Markers Predicting Overall Survival After Radical Resection of Pancreatic Ductal Adenocarcinoma

Background: The prognostic prediction after radical resection of pancreatic ductal adenocarcinoma (PDAC) has not been well-established. We aimed to establish a prognostic model for PDAC based on a new score system, which included a clinical routine serum marker.

Methods: A total of 438 patients who underwent curative PDAC at the First Affiliated Hospital of Anhui Medical University from January 2007 to January 2014 were included in this study. Univariate and multivariate analyses were used to screen for prognostic risk factors. We constructed the nomogram based on Cox proportional hazard regression models. The construction of the new score models was analyzed by the receiver operator characteristic curve (ROC curve), which were compared with other clinical indexes.

Results: Multivariate analysis showed that TNM stage, CA199, CEA, globulin, neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR) were independent prognostic factors. The new score system had a higher AUC value than other risk factors, and the C-index of the nomogram was highly consistent for evaluating survival of PDAC patients in the validation groups and training group, and the external population also verified the nomogram.

Conclusions: For the patients with PDAC after radical surgery, we developed a precise model to predict the prognosis based on the serum markers and other clinical indicators. For surgeons and patients, this score system can be an effective help.

Prognostic Significance of the Preoperative Lymphocyte to Monocyte Ratio in Patients with Gallbladder Carcinoma

Background

This study was designed to investigate the prognostic value of the lymphocyte to monocyte ratio (LMR) in patients with gallbladder carcinoma (GBC).

Patients and Methods

We retrospectively enrolled 154 consecutive GBC patients from 2005 to 2017 in this study. The LMR of preoperative blood samples was calculated by dividing the lymphocyte count by the monocyte count. A receiver operating characteristic (ROC) curve was employed to identify the optimal cut-off value of the LMR in the determination of overall survival (OS). The Kaplan–Meier method was utilized to assess OS, and the Log rank test was employed to compare survival differences. Univariate and multivariate Cox regression analyses were conducted to detect independent prognostic indicators.

Results

The optimal cut-off point for the LMR was 4.76 according to the ROC curve. Patients ≤60 years old with an LMR ≤4.76 experienced significantly worse OS than those with an LMR >4.76 (hazard ratio (HR): 0.399, 95% confidence interval (CI): 0.265–0.602, P<0.001); however, the prognostic value of the LMR was not determined in patients >60 years old or among the entire study cohort (both P>0.05). Significantly poorer OS was observed in patients >60 years with an LMR ≤4.21 compared to those with an LMR >4.21 (HR: 1.830, 95% CI: 1.129–2.967, P=0.014). Multivariate Cox regression analysis indicated that both the high and low LMR cut-off values were independent risk factors for OS (HR: 0.272, 95% CI: 0.105–0.704, P=0.007; HR: 0.544, 95% CI: 0.330–0.895, P=0.017).

Conclusion

The LMR is an independent prognostic indicator for GBC patients, the cut-off value of which is age dependent.

Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients

Background

The aim of this study was to evaluate a series of blood count inflammation indexes in predicting anastomotic leakage (AL) in elective colorectal surgery.

Methods

Demographic, pathologic, and clinical data of 1432 consecutive patients submitted to colorectal surgery in eight surgical centers were retrospectively evaluated. The neutrophil to lymphocyte (NLR), derived neutrophil to lymphocyte (dNLR), lymphocyte to monocyte (LMR), and platelet to lymphocyte (PLR) ratios were calculated before surgery and on the 1st and 4th postoperative days, in patients with or without AL.

Results

There were 106 patients with AL (65 males, mean age 67.4 years). The NLR, dNLR, and PLR were significantly higher in patients with AL in comparison to those without, on both the 1st and 4th postoperative days, but significance was greater on the 4th postoperative day. An NLR cutoff value of 7.1 on this day showed the best area under the curve (AUC 0.744; 95% CI 0.719–0.768) in predicting AL.

Conclusions

Among the blood cell indexes of inflammation evaluated, NLR on the 4th postoperative day showed the best ability to predict AL. NLR is a low cost, easy to perform, and widely available index, which might be potentially used in clinical practice as a predictor of AL in patients undergoing elective colorectal surgery.

The prognostic impact of neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) in patients with distal bile duct cancer

Background

A growing body of evidence suggests that inflammatory response markers such as the neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) are associated with outcomes of various malignancies. However, no study has reported the prognostic value of NLR and LMR in patients with distal bile duct cancer (DBDC) to date. We investigated the prognostic significance of these inflammatory markers in patients with DBDC who underwent radical resection.

Methods

The study included 40 patients diagnosed with DBDC who underwent pancreaticoduodenectomy at Narita Red Cross Hospital between January 2000 and December 2017. The cutoff values for these markers were determined by receiver operating characteristic curve analysis. Survival curves are estimated for each group in the study considered separately using the Kaplan-Meier method. The association between overall survival (OS) and the NLR, LMR, and other prognostic factors was investigated using log-rank test and multivariate Cox proportional hazards regression analysis.

Results

Corresponding to the point with the maximum combined sensitivity and specificity on the ROC curve, the best cutoff value for NLR and LMR was determined to be 3.14 and 4.55, respectively. Most clinicopathological factors were not associated with the NLR and LMR based on these cutoff values. However, serum albumin levels were associated with both the NLR and LMR (P = 0.011 and P = 0.023, respectively), and serum carbohydrate antigen 19-9 (CA 19-9) levels were also associated with the LMR (P = 0.030). Univariate analysis showed that a high NLR (P < 0.001), low LMR (P = 0.002), hypoalbuminemia (P = 0.004), high serum CA 19-9 levels (P = 0.008), and lymph node metastasis (P = 0.033) were significantly associated with poor survival rates. Multivariate analysis showed that a high NLR (hazard ratio 5.799, 95% confidence interval 1.188–28.32, P = 0.030) and a low LMR (hazard ratio 4.837, 95% confidence interval 1.826–2.331, P = 0.025) were independent prognostic factors for OS.

Conclusion

Both NLR and LMR may serve as significant independent preoperative prognostic indicators of disease in patients with DBDC who undergo radical resection.

Preoperative lymphocyte count in relation to sarcoma prognosis

PURPOSE

Inflammation plays a major role in tumour development, progression and metastasis. Multiple inflammatory markers such as absolute lymphocyte count, neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR) and platelet-lymphocyte ratio have been discovered as prognostic markers for various malignancies. We investigate preoperative lymphocyte count and other cell count ratios and their relation to survival and prognosis of sarcoma patients after surgery.

METHODS

A total of 142 patients from the Orthopaedics Oncology Database were included into this retrospective study. Kaplan-Meier curve and multivariate Cox proportional models were used to calculate the overall survival of patients with sarcoma who underwent radical excision surgery.

RESULTS

High preoperative LMR is significantly associated with better overall survival and prognosis in sarcoma patients, whereas high preoperative NLR is significantly associated with shorter overall survival and poorer prognosis. Multivariate analysis shows that LMR and NLR are good predictors for overall survival at 3 and 5 years after surgery, respectively. Patients with high preoperative lymphocytes count are associated with longer overall survival, but this association is not statistically significant. Our findings suggest that preoperative NLR and LMR are good predictive markers for survival of sarcoma patients.

CONCLUSION

LMR and NLR can be used to identify patients at risk for poor clinical outcome, so that a more aggressive course of treatment can be applied to improve outcome. These are cost-effective prognostic tools as they are calculated from routine preoperative peripheral blood counts. In conclusion, preoperative NLR and LMR are good prognostic markers for predicting the clinical outcome of patients with sarcoma.

A Comprehensive Review: Materials for the Fabrication of Optical Fiber Refractometers Based on Lossy Mode Resonance

Lossy mode resonance based sensors have been extensively studied in recent years. The versatility of the lossy mode resonance phenomenon has led to the development of sensors based on different configurations that make use of a wide range of materials. The coating material is one of the key elements in the performance of a refractometer. This review paper intends to provide a global view of the wide range of coating materials available for the development of lossy mode resonance based refractometers.

Lymphocyte-To-Monocyte Ratio as the Best Simple Predictor of Bacterial Infection in Patients with Liver Cirrhosis

Background and aim: The aim of this study was to assess the diagnostic performance of new morphology-related indices and Child–Turcotte–Pugh (CTP) and Model for End-Stage Liver Disease (MELD) scores during hospitalization in predicting the onset of bacterial infection in patients with liver cirrhosis. Material and methods: A total of 171 patients (56.9% males; median age 59 years; total number of hospitalizations 209) with liver cirrhosis were included in this observational study. The diagnosis of cirrhosis was made on the basis of clinical, biochemical, ultrasonic, histological, and endoscopic findings. The neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), modified aspartate aminotransferase-to-platelet ratio index (APRI), aspartate aminotransferase-to-alanine aminotransferase ratio (AAR), Fibrosis-4 index (FIB-4), platelet-to-lymphocyte ratio (PLR), neutrophil-to-monocyte ratio (NMR), and CTP and MELD scores were calculated for the cases of patients with cirrhosis. Results: Bacterial infection was diagnosed in 60 of the 209 (28.7%) hospitalizations of patients with cirrhosis. The most common infections were urinary tract infection (UTI), followed by pneumonia and sepsis. The more severe the liver failure, the greater the bacterial infection prevalence and mortality. Patients with decompensated liver cirrhosis were infected more often than subjects with compensated cirrhosis (50.0% vs. 12.9%, p = 0.003). The calculated MELD score, CTP, NLR, LMR, AAR, monocyte count, and C-reactive protein (CRP) concentration were also related to the bacterial infection prevalence, and mortality areas under the curve (AUC) were 0.629, 0.687, 0.606, 0.715, 0.610, 0.648, and 0.685, respectively. The combined model with two variables (LMR and CTP) had the best AUC of 0.757. The most common bacteria isolated from patients with UTI were Escherichia coli, Enterococcus faecalis, and Klebsiella pneumonia. Gram-negative bacteria were also responsible for spontaneous bacterial peritonitis (SBP), and together with gram-positive streptococci and staphylococci, these microorganisms were isolated from blood cultures of patients with sepsis. Significant differences were found between CTP classification, MELD score, NLR, LMR, AAR, CRP, and PLR in patients with cirrhosis with, or without, bacterial infection. Conclusions: Bacterial infection prevalence is relatively high in patients with liver cirrhosis. Although all analyzed scores, including the LMR, NLR, aspartate aminotransferase (AST)/alanine aminotransferase (ALT), CRP, CTP, and MELD, allowed the prediction of bacterial occurrence, the LMR had the highest clinical utility, according to the area under the curve (AUC) and odds ratio (OR).

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

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

Long-term outcomes and significance of preoperative lymphocyte-to-monocyte ratio as a prognostic indicator in patients with invasive pancreatic neoplasms after repeat pancreatectomy

Background

Invasive pancreatic neoplasms have a high propensity for recurrence even after curative resection. Recently, patients who underwent pancreatectomy have an opportunity of undergoing secondary pancreatic resection, so-called “repeat pancreatectomy” to achieve curative operation and prolong their survival. We evaluated the long-term clinical outcomes and identified the prognostic factors, including systemic inflammation markers and the lymphocyte-to-monocyte ratio (LMR) of patients who underwent repeat pancreatectomy for invasive pancreatic tumors.

Methods

Twenty-eight consecutive patients with invasive pancreatic neoplasms (22 pancreatic ductal adenocarcinomas, 2 pancreatic acinar cell carcinomas, and 4 invasive intra-papillary mucinous carcinomas) with isolated local recurrence only in the remnant pancreas were analyzed retrospectively. To identify factors for the selection of optimal patients who should undergo repeat pancreatectomy, perioperative clinical parameters were analyzed by Cox proportional regression models.

Results

Of 28 patients, 12 patients experienced recurrence within 3 years after repeat pancreatectomy. Kaplan–Meier analysis showed that the median cancer-specific overall survival time of patients with invasive pancreatic neoplasms was 61 months, showing favorable outcomes. High preoperative LMR (LMR ≥ 3.3) (p = 0.022), no portal vein resection (p = 0.021), no arterial resection (p = 0.037), and pathological lymph node negative (p = 0.0057) were identified as favorable prognostic parameters on univariate analysis, and LMR ≥ 3.3 (p = 0.0005), and pathological lymph node negative (p = 0.018) on multivariate analysis.

Conclusions

Preoperative LMR is potentially a good indicator for selecting suitable patients to undergo repeat pancreatectomy in patients with isolated local recurrence of invasive pancreatic neoplasms.

Lymphocyte-Monocyte Ratio Significantly Predicts Recurrence in Papillary Thyroid Cancer

BACKGROUND

A growing body of evidences shows that systemic inflammatory responses are involved in patient prognosis in multiple cancers. Combinations of peripheral leukocyte fractions have been shown to be useful markers for the inflammatory responses. However, significance of such systemic inflammatory responses is still unknown in thyroid cancer. Accordingly, we aimed to clarify clinical impact of peripheral leukocyte fractions in papillary thyroid cancer (PTC).

METHODS

Clinicopathological analyses were performed including preoperative leukocyte fractions in 570 patients with curatively resected PTC. Receiver operating characteristic curves were used to determine cutoffs of leukocyte fraction or inflammation indexes such as lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio. A Kaplan-Meier analysis and a Cox's proportional hazard model were used to conduct prognostic analysis. A multivariable logistic regression analysis was performed for correlation assay.

RESULTS

Preoperative low LMR predicted recurrence with high sensitivity (63.3%) and specificity (68.7%) (P = 0.002). The multivariable prognostic analyses revealed that preoperative low LMR (P = 0.025), pathological N1b (P = 0.019), high metastatic lymph node ratio (node density) (P = 0.014), and high thyroglobulin level (P = 0.002) independently predicted worse prognosis. The combination of these independent parameters clearly enriched high-risk patients (P < 0.001). Of note, low LMR was dramatically associated with recurrence especially in patients with advanced PTC.

CONCLUSIONS

Preoperative low LMR dramatically predicts high-risk patients for recurrences. The results in this study give rational to focusing on immune cell profiles to tackle advanced PTC.

Prognostic Value of Peripheral Inflammatory Markers in Preoperative Mucosal Melanoma: A Multicenter Retrospective Study

Background: Peripheral neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) have been widely reported prognostic predictors for many cancers. However, data predicting prognosis on mucosal melanoma is currently limited. This study aimed to identify the value of these inflammatory markers in predicting prognosis in preoperative mucosal melanoma.

Methods: In this multicenter retrospective study, we assessed patients with preoperative mucosal melanoma for 7 years. Connection between baseline inflammatory markers (NLR, PLR, and LMR) and overall survival (OS) and progression-free survival (PFS) was analyzed by Kaplan–Meier curve with a log-rank test. Then, NLR, PLR, and LMR, along with characteristics of patients, were included in the univariate and multivariate Cox hazards regression model to examine the correlation with OS and PFS. The optimal cutoff value of these inflammatory markers was stratified by receiver operating characteristic (ROC) curve.

Results: Patients with baseline NLR > 3.07, PLR > 118.70, or LMR ≤ 7.38 had significantly poorer OS and PFS according to Kaplan–Meier curve with a log-rank test. Univariate analysis indicated that surgery, alkaline phosphatase (ALP), NLR, PLR, and LMR were statistically connected to both OS and PFS. In multivariate analysis, LMR (hazard ratio [HR] = 0.113; 95% CI: 0.017–0.772; P = 0.026) and surgery (HR = 0.166; 95% CI: 0.033–0.846; P = 0.031) maintained significant relevance with OS.

Conclusions: This research revealed that a higher NLR and PLR and a lower LMR than the cutoff point was associated with a worse prognosis of preoperative mucosal melanoma. Thus, we assumed that NLR, PLR, and especially LMR were potential prognostic predictors of preoperative mucosal melanoma.

Elevated NLR May Be a Feature of Pediatric Brain Cancer Patients

Pediatric brain tumors are the most common solid tumor type and the leading cause of cancer-related death in children. The immune system plays an important role in cancer pathogenesis and in the response to immunotherapy treatments. T lymphocytes are key elements for the response of the immune system to cancer cells and have been associated with prognosis of different cancers. Neutrophils on the other hand, which secrete pro-angiogenic and anti-apoptotic factors, enhance the ability of tumor cells to grow and develop into metastases. We conducted a retrospective study of 120 pediatric brain cancer patients and 171 elective pediatric patients hospitalized in Dana Children's Hospital and Sheba Medical Center. Data on age, sex, treatment, lymphocyte, neutrophil, and monocyte count were collected from routinely performed preoperative blood tests. Neutrophil-to-lymphocyte ratio (NLR), and the lymphocyte-to-monocyte ratio (LMR) were calculated and significance was determined by paired T test. p < 0.05 was considered as statistically significant. NLR was significantly higher in the pediatric brain cancer patients. The high NLR in pediatric brain cancer patients is the result of a combination of low lymphocytes and high neutrophils. Both of these factors can have a role in cancer development and propagation and also in response to therapy.

Lymphocyte-to-Monocyte Ratio and Prognostic Nutritional Index Predict Poor Prognosis in Patients on Chemotherapy for Unresectable Pancreatic Cancer

BACKGROUND/AIM

Recently, several systemic inflammation-based scores, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), modified Glasgow prognostic score (GPS), and prognostic nutritional index (PNI), have been proposed as prognostic factors for several cancers. In this study, we aimed to determine the influence of systemic inflammation-based scores and nutrition status on the outcome in patients receiving chemotherapy for unresectable pancreatic cancer.

PATIENTS AND METHODS

A total of 93 consecutive patients who underwent chemotherapy for unresectable pancreatic cancer at Osaka Medical College Hospital, Takatsuki, Japan, between January 2008 and December 2014 were eligible for this study. The outcomes assessment included one- and two-year overall survival (OS) rates, according to changes in LMR and PNI prior to, and following chemotherapy.

RESULTS

LMR<3.4 (OR=5.02, 95%CI=1.559-19.85, p=0.005) and PNI<43 (OR=3.53, 95%CI=1.057-14.21, p=0.03) independently predicted a poor outcome in patients receiving chemotherapy for unresectable pancreatic cancer using multivariate analysis. According to changes in LMR and PNI prior to, and following chemotherapy, compared to patients who maintained LMR≥3.4, patients whose LMR decreased from ≥3.4 to <3.4 had significantly lower OS rates (p<0.001). Similarly, compared to patients who maintained PNI≥43, patients whose PNI deteriorated had significantly lower OS rates (56.2% versus 25.8% at one year, and 12.5% versus 0% at two years; p=0.003).

CONCLUSION

LMR<3.4 and PNI<43 are identified as independent predictors of poor outcome in patients receiving chemotherapy for unresectable pancreatic cancer. LMR and PNI may help clinicians identify patients at high risk for poor prognosis.

The clinical use of pretreatment NLR, PLR, and LMR in patients with esophageal squamous cell carcinoma: evidence from a meta-analysis

Background and purpose

The relationship between neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) and the prognostic and clinicopathological significance in patients with esophageal squamous cell carcinoma (ESCC) has been reported by many studies. However, inconsistent results have been presented. The current study aimed to investigate the prognostic and clinicopathological role of NLR, PLR, and LMR in patients with ESCC by meta-analysis.

Methods

Eligible studies were identified in databases and the relationship between NLR/PLR/LMR and the prognosis or clinicopathological features in patients with ESCC was evaluated. OR or HR with 95% CI was calculated to estimate the risk or hazard association.

Result

Twenty-six studies including 8,586 ESCC patients were included for the analysis. We found that high NLR, PLR and low LMR were associated with poor overall survival/cancer-specific survival and event-free survival and malignant phenotypes such as deeper depth of invasion (T), positive lymph node metastasis (N), and advanced TNM stage.

Conclusion

NLR, PLR, and LMR might serve as prognostic markers in patients with ESCC.