Prognostic Value of the C-Reactive Protein/Lymphocyte Ratio in Pancreatic Cancer

Inflammatory indexes predict mortality in non-malignant patients in palliative care

BACKGROUND

The literature on the use of inflammatory indexes for palliative care patients without malignancy is scarce.

AIMS

To determine which inflammatory indexes are associated with the mortality risks of non-malignant patients hospitalised and receiving palliative care.

METHODS

Discharged or deceased patients in a palliative care unit of a secondary care hospital were included. The laboratory values were obtained during the first 48 hours of hospitalisation.

FINDINGS

As a result of univariate Cox regression analysis, 14-day mortality rate was affected by lymphocyte ratio, neutrophil-to-albumin ratio (NAR), C-reactive protein/albumin ratio (CAR), multi-inflammatory indexes (MII-1) and MII-2 (p<0.001, p=0.001, p=0.002, p=0.009 and p=0.003, respectively); NLR, CLR, NAR, CAR, MII-1 and MII-2 (respectively p=0.005, p<0.001, p<0.001, p<0.001, p=0.001 and p<0.001) affected 28-day mortality rate. Indexes that statistically significantly increased both 14-day and 28-day mortality rates independently of other variables were CLR, NAR, CAR, MII-1 and MII-2.

CONCLUSION

High values in inflammatory indexes, including C-reactive protein and albumin increase the risk of 14-day and 28-day mortality rates in palliative care non-malignant patients.

C-reactive protein/lymphocyte ratio as a prognostic biomarker in acute pancreatitis: a cross-sectional study assessing disease severity

BACKGROUND

The C-reactive protein/lymphocyte ratio (CLR) is a prognostic biomarker of various diseases. However, its significance in acute pancreatitis (AP) remains unknown. The main aim of this study was to investigate the association between the CLR and disease severity in patients with AP.

METHODS

This cross-sectional study included 476 AP patients [mild acute pancreatitis (MAP), n =176; moderately severe acute pancreatitis (MSAP) and severe acute pancreatitis (SAP), n =300]. The primary exposure of interest was the baseline CLR. The primary outcome was the incidence of moderate to severe AP. Multivariate logistic regression and restricted cubic spline analyses were performed to evaluate the association between the CLR and the incidence of moderate to severe AP. Receiver operating characteristic (ROC) analysis was conducted to assess the predictive efficacy, sensitivity, and specificity of CLR in predicting the incidence of moderate to severe AP.

RESULTS

The mean age of the patients was 44±13.2 years, and 76.5% were male. The distribution of CLR was 31.6 (interquartile range, 4.5, 101.7). Moderate to severe AP occurred in 300 cases (63.0%). After multiple adjustments, CLR was independently associated with the incidence of moderate to severe AP (odds ratio, 1.04; 95% CI: 1.03-1.05; P < 0.001). A nonlinear relationship was found between CLR and the incidence of moderate to severe AP, with a threshold of approximately 45. The effect size and CI below and above the threshold value were 1.061 (1.033-1.089) and 1.014 (0.997-1.031), respectively. The area under the curve (AUC) for CLR was 87.577% (95% CI: 84.443- 90.710%) with an optimal cut-off value of 30.835, resulting in a sensitivity of 73.7% and a specificity of 88.6%.

CONCLUSIONS

There was a nonlinear relationship with a saturation effect between the CLR and the incidence of moderate to severe AP. The CLR measured within 24 h of admission may serve as a promising biomarker for predicting the emergence of moderate to severe AP, thereby providing a more scientifically grounded basis for preventing such cases. Nonetheless, further research is warranted to validate and strengthen these findings.

An inflammation-based model for identifying severe acute pancreatitis: a single-center retrospective study

BACKGROUND AND AIMS

Severe acute pancreatitis (SAP) is potentially lethal. Considering the role of inflammation in the progression of acute pancreatitis (AP), this study aims to develop a model based on inflammatory indexes for identifying the presence of SAP.

METHODS

Overall, 253 patients with AP who were consecutively admitted between July 2018 and November 2020 were screened, of whom 60 had SAP. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-platelet ratio (NPR), systemic inflammation response index (SIRI), platelet-to-albumin ratio (PAR), C-reactive protein-to-albumin ratio (CAR), C-reactive protein-to-lymphocyte ratio (CLR), and triglyceride glucose (TyG) index were calculated. Multivariate logistic regression analyses were performed to identify independent risk factors of SAP. Then, inflammation-based models were established. Receiver operating characteristics (ROC) curve analyses were performed. Area under ROC curve (AUROC) was calculated.

RESULTS

Diabetes mellitus, fatty liver, high white blood cell count (WBC), C-reactive protein (CRP), red blood cell distribution width (RDW), procalcitonin (PCT), SII, NLR, NPR, CAR, CLR, and TyG index, and a low LMR were significantly associated with SAP. Considering the collinearity among these variables, 10 multivariate logistic regression analyses were separately performed. Finally, four independent inflammation-based models were established. Of them, the best one, which was calculated as follows: 1.204*fatty liver (yes = 1; no = 0) + 0.419*PCT + 0.005*CLR - 2.629, had an AUROC of 0.795 with a specificity of 73.4% and a sensitivity of 71.7%.

CONCLUSION

The inflammation-based model consisting of fatty liver, PCT, and CLR has a good diagnostic performance for SAP.

Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty

Objectives

This study intended to explore whether albumin-associated inflammatory and nutritional markers could predict post-operative delirium (POD) in older patients after total hip arthroplasty (THA). In addition, we established a nomogram model for POD prediction.

Methods

Totally, 254 elderly cases who received THA were included. Clinical and laboratory data of these patients were retrospectively collected. Albumin-associated inflammatory and nutritional markers included neutrophil-to-albumin ratio (NAR), CRP-to-albumin ratio (CAR), prognostic nutritional index (PNI), and systemic inflammation score (SIS). The LASSO, univariate and multivariate logistic regression analyses were utilized to screen risk factors. A nomogram model was developed according to the results of multivariate regression analyses.

Results

Among 254 patients, 49 cases had POD with an incidence of 19.3%. LASSO regression and multivariate logistic analyses suggested that preoperative NAR, preoperative PNI, preoperative SIS, and age >75 years were risk factors for POD. A nomogram model was developed according to the results of multivariate logistic analyses. The calibration curve suggested that the predicted probability of this nomogram model was in good line with the actual probability. The DCA showed that this nomogram model had net benefits for the prediction of POD for elderly patients following THA.

Conclusion

Albumin-associated inflammatory and nutritional markers including NAR, PNI, and SIS could predict POD in elderly patients following THA.

Prognostic Impact of Lymphocyte-to-C-Reactive Protein Ratio in Patients Who Underwent Surgical Resection for Pancreatic Cancer

BACKGROUND

Increasing evidence indicates that increased systemic inflammation is correlated with poorer cancer-specific survival in various cancer types. This study aimed to evaluate the prognostic value of various combinations of inflammatory factors in patients who underwent surgical resection for pancreatic cancer (PC).

METHODS

We retrospectively analyzed 97 consecutive patients with PC who underwent pancreatectomy. We assessed the predictive impact for recurrence using a combination of 5 inflammatory markers and focused on the lymphocyte-C-reactive protein ratio (LCR) to elucidate its prognostic and predictive value for recurrence-free survival (RFS) and overall survival (OS) in univariate and multivariate analyses using the Cox proportional hazards model.

RESULTS

Low preoperative LCR was correlated with low serum hemoglobin, low serum albumin concentration, high frequency of microscopic vascular invasion, and high frequency of microscopic perineural invasion. The low LCR group had significantly worse RFS and OS. Lower preoperative LCR was an independent predictor of shorter RFS and OS in this cohort.

DISCUSSION

Preoperative LCR is a novel and convenient prognostic marker for patients with PC. Patients with low LCR may require more favorable intensive therapy.

Evaluation of five lymphocyte-based scores for prediction of mortality in hepatitis B virus-associated decompensated cirrhosis

Background

Lymphocytes are generally accepted to be a key component of the immune response, and an inadequate immune response is closely associated with disease severity and adverse outcomes in hepatitis B virus (HBV)-infected patients. The present study aimed to determine and compare the prognostic values of five lymphocyte-based scores (monocyte-to-lymphocyte ratio [MLR], mean platelet volume-to-lymphocyte ratio [MPVLR], neutrophil-to-lymphocyte ratio [NLR], red cell distribution width-to-lymphocyte ratio [RLR], and C-reactive protein-to-lymphocyte ratio [CLR]) for HBV-associated decompensated cirrhosis (HBV-DC).

Methods

Data were extracted from an institutional database. The outcome was 30-day mortality. Receiver operating characteristic curve analyses were conducted, and the resulting area under the curve (AUC) values were used to evaluate the predictive capabilities of the five lymphocyte-based scores for mortality in HBC-DC relative to Model for End-Stage Liver Disease (MELD) score.

Results

The study included 273 patients, and the 30-day mortality was 20.9%. Lymphocyte counts were slightly lower in non-survivors than in survivors. The prognostic values of CLR, NLR, MLR, MPVLR, and RLR for mortality in HBV-DC were different. The predictive powers of NLR and MLR were superior to those of the other three scores and similar to that of MELD score. Multivariate analyses identified NLR, MLR, and MELD score as independent prognostic predictors.

Conclusion

High NLR and MLR are easily accessible and reliable indicators for predicting 30-day mortality in HBV-DC and have superior prognostic ability compared with other lymphocyte-based scores.

The relationship between C-reactive protein to lymphocyte ratio and the prevalence of myocardial infarction in US adults: A cross-sectional study

Objective

C-reactive protein to lymphocyte ratio (CLR) has been identified as a novel inflammatory biomarker. However, the role of CLR in myocardial infarction is unclear. Thus, this study designs to investigate the association of CLR with the prevalence of myocardial infarction in a large multiracial population in the United States.

Methods

Participants from the National Health and Nutrition Examination Survey (NHANES) 2017-March 2020 Pre-pandemic were included in this cross-sectional study. Multivariable regression and subgroup analyses, controlling for demographic variables, were performed to examine the association between CLR and its quintiles and myocardial infarction. A smooth curve fitting was used to model the non-linear relationship between them.

Results

A total of 12,615 participants aged ≥18 years were recruited, of whom 609 (4.83%) self-reported a history of myocardial infarction. Compared to those in the lowest quartile of ln-transformed CLR (Q1), the myocardial infarction risks for subjects in Q2, Q3, and Q4 were 1.64, 1.71, and 1.79 times, respectively. Obvious upward trends were observed when ln-transformed CLR increased (P for trend <0.01). In continuous analyses, the fully adjusted odds ratios (OR) for myocardial infarction prevalence per ln-transformed increment in CLR was 1.46 (95% CI: 1.16-1.84, P < 0.01). Furthermore, a linear association was detected for ln-transformed CLR with the risk of myocardial infarction. Interaction test showed that the effect of CLR on myocardial infarction was significantly affected by age (P for interaction = 0.04).

Conclusions

Data from a large, cross-sectional cohort program show that CLR is positively associated with myocardial infarction prevalence. Our findings highlight that CLR may be a novel inflammation warning biomarker for myocardial infarction.

Prognostic value of lymphocyte-C-reactive protein ratio in patients with liver cancer: a meta-analysis

Background: The impact of lymphocyte-C-reactive protein ratio (LCR) on clinical outcomes has been reported in liver cancer such as hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), but the results remain inconsistent. Methods: We searched PubMed, Scopus, Web of Science, Embase and Cochrane Library databases for relevant studies evaluating the association of LCR with survival outcomes and clinicopathological parameters. Results: Eight studies with 4316 patients were included in this meta-analysis. Low LCR was significantly associated with poor overall survival, disease-free survival/relapse-free survival and disease progression clinicopathological parameters in patients with HCC or ICC. Conclusion: Low pretreatment LCR was an adverse prognostic indicator in patients with HCC or ICC. In addition, it was correlated with clinicopathological parameters indicating a higher stage of malignancy.

Prognostic Impact of C-Reactive Protein-to-Lymphocyte Ratio in Non-small Cell Lung Cancer: A Propensity Score-Matching Analysis

BACKGROUND

Many inflammatory and nutritional markers have been used to predict prognosis in lung cancer. The C-reactive protein (CRP)-to-lymphocyte ratio (CLR) is a useful prognostic factor in various cancers. However, the prognostic value of preoperative CLR in patients with non-small cell lung cancer (NSCLC) remains to be established. We examined the significance of the CLR compared with known markers.

METHODS

A total of 1380 surgically resected NSCLC patients treated at two centers were recruited and divided into derivation and validation cohorts. After CLRs were calculated, patients were classified into high and low CLR groups based on the cutoff value determined by receiver operating characteristics curve analysis. Subsequently, we determined the statistical associations of the CLR with clinicopathological factors and prognosis and further analyzed its prognostic impact by propensity-score matching.

RESULTS

Of all the inflammatory markers examined, CLR yielded the highest area-under-the-curve value. The prognostic impact of CLR remained significant after propensity-score matching. Prognosis was significantly worse in the high-CLR group than in the low-CLR group (5-year, disease-free survival [DFS]: 58.1% vs. 81.9%, P < 0.001; 5-year overall survival [OS]: 72.1% vs. 91.2%, P < 0.001). The results were confirmed in the validation cohorts. Multivariable analysis also showed high CLR as an independent factor for both DFS and OS (DFS: hazard ratio [HR] 1.42, P = 0.027; OS: HR 1.95, P = 0.0037).

CONCLUSIONS

Preoperative CLR is a useful marker for predicting the prognosis of NSCLC patients who have undergone surgery.

Serial Changes in Blood-Cell-Count-Derived and CRP-Derived Inflammatory Indices of COVID-19 Patients

The aim of the study was to investigate the serial changes in inflammatory indices derived from blood cell counts and C-reactive protein (CRP) levels in COVID-19 patients with good and poor outcomes. We retrospectively analyzed the serial changes in the inflammatory indices in 169 COVID-19 patients. Comparative analyses were performed on the first and last days of a hospital stay or death and serially from day 1 to day 30 from the symptom onset. On admission, non-survivors had higher CRP to lymphocytes ratio (CLR) and multi-inflammatory index (MII) values than survivors, while at the time of discharge/death, the largest differences were found for the neutrophil to lymphocyte ratio (NLR), systemic inflammation response index (SIRI), and MII. A significant decrease in NLR, CLR, and MII by the time of discharge was documented in the survivors, and a significant increase in NLR was documented in the non-survivors. The NLR was the only one that remained significant from days 7-30 of disease in intergroup comparisons. The correlation between the indices and the outcome was observed starting from days 13-15. The changes in the index values over time proved to be more helpful in predicting COVID-19 outcomes than those measured on admission. The values of the inflammatory indices could reliably predict the outcome no earlier than days 13-15 of the disease.

Development and validation of a gene signature for pancreatic cancer: based on inflammatory response-related genes

Pancreatic cancer (PC) is one of the most common malignant tumors in the world with a poor prognosis. There were limited studies investigating the genetic signatures associated with inflammatory responses, tumor microenvironment (TME), and tumor drug sensitivity prediction. In the Cancer Genome Atlas (TCGA) dataset, we constructed an inflammatory response-related genes prognostic signature for PC, and predictive ability of the model was assessed via the International Cancer Genome Consortium (ICGC) database. Then, we explored the differences of TME, immune checkpoint genes and drug resistance genes, and the cancer cell sensitivity to chemotherapy drugs between different risk score group. Based on the TCGA and ICGC databases, we constructed and validated a prognostic model, which consisted of 5 genes (including AHR, F3, GNA15, IL18, and INHBA). Moreover, the prognostic model was independent prognostic factors affecting overall survival (OS). The low-risk score group had better OS, and lower stromal score, compared with patients in the high-risk score group. The difference of antigen-presenting cells, T cell regulation, and drug resistance genes between different risk score groups was found. In addition, the immune checkpoint genes were positively correlation to risk score. The expression levels of AHR, GNA15, IL18, and INHBA were related to the sensitivity of anti-tumor chemotherapy drugs. Gene set enrichment analysis (GSEA) showed significant pathway such as calcium signaling pathway and p53 signaling pathway. We successfully constructed a 5-inflammatory response-related gene signature to predict survival, TME, and cancer cell sensitivity to chemotherapy drugs in PC patients. Furthermore, substantiation was warranted to verify the role of these genes in tumorigenesis.

Preoperative C-Reactive Protein-to-Albumin Ratio Predicts Postoperative Pancreatic Fistula following Pancreatoduodenectomy: A Single-Center, Retrospective Study

Postoperative pancreatic fistula (POPF) following pancreatoduodenectomy (PD) is a potentially lethal complication, and it is clinically important to determine its risk preoperatively. Although C-reactive protein-to-albumin ratio (CAR) is reported to be a prognostic marker for postoperative complications in several cancers, no evidence is currently available regarding the association between preoperative CAR and POPF following PD for periampullary tumors. This study examined whether preoperative CAR could predict POPF following PD. Clinical data were retrospectively retrieved from Ehime University Hospital. The optimal cut-off value for CAR was determined using receiver operating characteristic (ROC) curve analysis. This study enrolled 203 consecutive patients undergoing PD for periampullary tumors. The CAR value was significantly higher in the POPF group than in the non-POPF group (p < 0.001). According to the ROC curve analysis, the optimal cut-off value for CAR was 0.09. Patients with CAR ≥ 0.09 had higher incidence rates of POPF than their counterparts. CAR ≥ 0.09 was a risk factor for POPF in the multivariate logistic regression analysis (odds ratio 34.5, 95% confidence interval 11.75-101.38, p < 0.001). This is the first report demonstrating an association between CAR and POPF following PD. Preoperative CAR is an independent predictive marker for POPF following PD.

Targeting FTO Suppresses Pancreatic Carcinogenesis via Regulating Stem Cell Maintenance and EMT Pathway

N⁶-methyladenosine (m⁶A) is the most prevalent post-transcriptional RNA modification regulating cancer self-renewal. However, despite its functional importance and prognostic implication in tumorigenesis, the relevance of FTO, an m⁶A eraser, in pancreatic cancer (PC) remains elusive. Here, we establish the oncogenic role played by FTO overexpression in PC. FTO is upregulated in PC cells compared to normal human pancreatic ductal epithelial (HPDE) cells. Both RNAi depletion and CS1-mediated pharmacological inhibition of FTO caused a diminution of PC cell proliferation via cell cycle arrest in the G1 phase and p21cip1 and p27kip1 induction. While HPDE cells remain insensitive to CS1 treatment, FTO overexpression confers enhancements in growth, motility, and EMT transition, thereby inculcating tumorigenic properties in HPDE cells. Notably, shRNA-mediated FTO depletion in PC cells impairs their mobility and invasiveness, leading to EMT reversal. Mechanistically, this was associated with impaired tumorsphere formation and reduced expression of CSCs markers. Furthermore, FTO depletion in PC cells weakened their tumor-forming capabilities in nude mice; those tumors had increased apoptosis, decreased proliferation markers, and MET conversion. Collectively, our study demonstrates the functional importance of FTO in PC and the maintenance of CSCs via EMT regulation. Thus, FTO may represent an attractive therapeutic target for PC.

Development and validation of a nomogram for patients with stage II/III gastric adenocarcinoma after radical surgery

BACKGROUND

We aimed to construct nomograms based on clinicopathological features and routine preoperative hematological indices to predict cancer-specific survival (CSS) and disease-free survival (DFS) in patients with stage II/III gastric adenocarcinoma (GA) after radical resection.

METHODS

We retrospectively analyzed 468 patients with stage II/III GA after curative gastrectomy between 2012 and 2018; 70% of the patients were randomly assigned to the training set (n = 327) and the rest were assigned to the validation set (n = 141). The nomogram was constructed from independent predictors derived from the Cox regression in the training set. Using the consistency index, the calibration and the time-dependent receiver operating characteristic curves were used to evaluate the accuracy of the nomogram. Decision curve analysis was used to assess the value of the model in clinical applications. Patients were further divided into low- and high-risk groups based on the nomogram risk score.

RESULTS

Multivariate Cox model identified depth of invasion, lymph node invasion, tumor differentiation, adjuvant chemotherapy, CA724, and platelet-albumin ratio as covariates associated with CSS and DFS. CA199 is a risk factor unique to CSS. The nomogram constructed using the results of the multivariate analysis showed high accuracy with a consistency index of 0.771 (CSS) and 0.771 (DFS). Moreover, the area under the curve values for the 3-and 5-year CSS were 0.868 and 0.918, and the corresponding values for DFS were 0.872 and 0.919, respectively. The nomogram had a greater clinical benefit than the TNM staging system. High-risk patients based on the nomogram had a worse prognosis than low-risk patients.

CONCLUSION

The prognostic nomogram for patients with stage II/III GA after radical gastrectomy established in this study has a good predictive ability, which is helpful for doctors to accurately evaluate the prognosis of patients to make more reasonable treatment plans.

Evaluation of simple laboratory parameters in SARS-CoV-2 infection: the role of ratios

BACKGROUND

The real predictive prognostic capacity of cellular indices (or ratios) is unclear in SARS-CoV-2 infection. This study aimed to assess the prognostic role of previously well-known laboratory indices and new ones in hospitalized COVID-19 patients.

METHODS

A retrospective observational study from March to May 2022 evaluated laboratory indices on admission (neutrophil to lymphocyte-, derived neutrophil to lymphocyte-, platelet to lymphocyte-, CRP to lymphocyte-, CRP to albumin-, fibrinogen to lymphocyte-, d-dimer to lymphocyte-, ferritin to lymphocyte-, LDH to lymphocyte-, and IL-6 to lymphocyte ratios), in patients hospitalized due to SARS-CoV2 infection to determine the association with mortality, admission to an intensive care unit (ICU), need for non-invasive mechanical ventilation (NIMV), orotracheal intubation (OTI), or combined event at 30 days follow-up.

RESULTS

A total of 1113 COVID-19 patients were evaluated with a mean age of 64.1 ± 15.9 years (58.49% male), 166 (14.91%) patients died, 58 (5.21%) required ICU admission, 73 (6.56%) needed NIMV, 46 (4.23%) needed OTI, and 247 (22.19%) presented the combined event. All the ratios evaluated in this study showed statistical significance in the univariate analysis for mortality and combined event; however, only d-dimer to lymphocyte ratio >0.6 presented an independent association in the multivariate analysis for 30-day mortality (adjusted OR 2.32; p = .047) and 30-day combined event (adjusted OR 2.62; p = .014).

CONCLUSIONS

Laboratory indices might be a potential biomarker for better prognosis stratification in hospitalized COVID-19 patients. d-Dimer to lymphocyte ratio presents an independent association for 30-day mortality and 30-day adverse outcomes in hospitalized COVID-19 patients.

C-reactive protein to lymphocyte ratio as a new biomarker in predicting surgical site infection after posterior lumbar interbody fusion and instrumentation

Purpose

This study aims to evaluate the potential of C-reactive protein to lymphocyte count ratio (CLR) for the prediction of surgical site infection (SSI) following posterior lumbar interbody fusion (PLIF) and the instrumentation of lumbar degenerative diseases.

Methods

In this retrospective study, we considered patients with a lumbar degenerative disease diagnosis surgically treated by the instrumented PLIF procedure from 2015 to 2021. Patient data, including postoperative early SSI and other perioperative variables, were collected from their respective hospitalization electronic medical records. The receiver operator characteristic curve was constructed to determine the optimal cut-off value for CLR, and the ability to predict SSI was evaluated by the area under the curve (AUC). According to the cut-off value, patients were dichotomized with high- or low-CLR, and between-group differences were compared using univariate analysis. The independent impact of CLR on predicting SSI was investigated by multivariate logistics regression analysis.

Results

A total of 773 patients were included, with 26 (3.4%) developing an early SSI post-operation. The preoperative CLR was 11.1 ± 26.1 (interquartile range, 0.4–7.5), and the optimal cut-off was 2.1, corresponding to a sensitivity of 0.856, a specificity of 0.643, and an AUC of 0.768 (95% CI, 0.737–0.797). CLR demonstrated a significantly improved prediction ability than did lymphocyte count (P = 0.021) and a similar ability to predict an infection as C-response protein (P = 0.444). Patients with a high CLR had a significantly higher SSI incidence than those with a low CLR (7.6% vs. 0.8%, P < 0.001). After adjustment for numerous confounding factors, CLR ≥ 2.1 was associated with an 11.16-fold increased risk of SSI, along with other significant variables, i.e., diabetes, preoperative waiting time, and surgical duration.

Conclusion

A high CLR exhibited an improved ability to predict incident SSI and was associated with a substantially increased risk of SSI following instrumented PLIF. After better-design studies verified this finding, CLR could potentially be a beneficial tool in surgical management.

C-reactive protein to lymphocyte count ratio is a promising novel marker in hepatitis C infection: the clear hep-c study

OBJECTIVE:

Chronic hepatitis C (CHC) is one of the most important health problems affecting the significant rate of world population and it may lead to cirrhosis and hepatocellular carcinoma. C-reactive protein to lymphocyte count ratio (CLR) is used in estimating inflammatory burden. Therefore, this study aimed to compare CLR values between CHC patients and healthy controls and between CHC patients with and without fibrosis.

METHODS:

Patients with CHC infection who visited outpatient and inpatient internal medicine clinics of our institution between January 2021 and December 2021 were enrolled to this retrospective study. CLR of the patients with CHC and healthy controls were compared. We further compared CLR of CHC patients with and without fibrosis.

RESULTS:

Median CLR of CHC and control subjects was 2.61 (5.13%) and 0.31 (0.37%), respectively. CLR of the CHC group was significantly increased compared to the CLR of the controls (p<0.001). There was a significant positive correlation between CLR and APRI score (r=0.15, p=0.04). The sensitivity and specificity of CLR in determining CHC above 0.58% level were 84% and 82%, respectively (AUC: 0.884, p<0.001, 95%CI 0.84–0.93). In subgroup analysis, CLR was 3.97 (6.6%) for CHC patients with fibrosis and 1.7 (4.4%) for CHC subjects without fibrosis (p=0.001).

CONCLUSION:

Increased CLR in patients with CHC may be an alarming finding of liver fibrosis, as CLR is associated with both CHC and hepatic fibrosis.

Diabetes Mellitus and Pancreatic Ductal Adenocarcinoma-Prevalence, Clinicopathological Variables, and Clinical Outcomes

Simple Summary

The aim of this study is to describe the prevalence of diabetes mellitus (DM) among patients with the diagnosis of pancreatic ductal adenocarcinoma (PDAC), analyse the association between the occurrence of DM and clinicopathological factors, and detect variables influencing overall survival. Diabetes mellitus is prevalent among patients with pancreatic cancer. In our study, patients with diabetes mellitus receiving palliative chemotherapy had significantly higher median OS than those without. Among variables influencing survival, TNM stage, nodal involvement, tumour site, levels of CEA and CRP were confirmed.

Abstract

Background: pancreatic ductal adenocarcinoma (PDAC) is the seventh leading cause of cancer-related deaths with increasing incidence and link to the onset of diabetes mellitus (DM). The aim of this study is to describe the prevalence of DM among patients with the diagnosis of PDAC, analyse the association between the occurrence of DM and clinicopathological factors, and detect variables influencing overall survival. Methods: a retrospective analysis of medical records was performed. The patients were divided into non-DM (n = 101) and DM (n = 74) groups. Statistical analysis with the usage of appropriate tests was conducted. Results: Patients in the groups of DM and NODM had significantly longer median OS than the non-DM group. Nodal involvement, tumour location, level of CEA, CRP and CRP/lymphocytes ratio were significantly associated with OS among patients with any type of DM. Neutropenia was less frequently observed in the DM group. Conclusions: DM is prevalent among patients with pancreatic cancer. In our study, patients with DM receiving palliative chemotherapy had significantly higher median OS than those without DM. The increased comprehension of the mechanisms of the relationship between DM and pancreatic cancer needs further research, which might provide avenues for the development of novel preventive and therapeutic strategies.

A prognostic model using the neutrophil-albumin ratio and PG-SGA to predict overall survival in advanced palliative lung cancer

Objective

Inflammation and malnutrition are common in patients with advanced lung cancer undergoing palliative care, and their survival time is limited. In this study, we created a prognostic model using the Inflam-Nutri score to predict the survival of these patients.

Methods

A retrospective cohort study was conducted on 223 patients with advanced, histologically confirmed unresectable lung cancer treated between January 2017 and December 2018. The cutoff values of the neutrophil-albumin ratio (NAR) and Patient-Generated Subjective Global Assessment (PG-SGA) score were determined by the X-tile program. Least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analysis were performed to identify prognostic factors of overall survival (OS). We then established a nomogram model. The model was assessed by a validation cohort of 72 patients treated between January 2019 and December 2019. The predictive accuracy and discriminative ability were assessed by the concordance index (C-index), a plot of the calibration curve and risk group stratification. The clinical usefulness of the nomogram was measured by decision curve analysis (DCA).

Results

The nomogram incorporated stage, supportive care treatment, the NAR and the PG-SGA score. The calibration curve presented good performance in the validation cohorts. The model showed discriminability with a C-index of 0.76 in the training cohort and 0.77 in the validation cohort. DCA demonstrated that the nomogram provided a higher net benefit across a wide, reasonable range of threshold probabilities for predicting OS. The survival curves of different risk groups were clearly separated.

Conclusions

The NAR and PG-SGA scores were independently related to survival. Our prognostic model based on the Inflam-Nutri score could provide prognostic information for advanced palliative lung cancer patients and physicians.

The clinical significance of perioperative inflammatory index as a prognostic factor for patients with retroperitoneal soft tissue sarcoma

BACKGROUND

The prognostic factors of retroperitoneal soft tissue sarcoma (STS) have been explored but not yet certain. This study evaluated the prognostic impact of various preoperative clinical parameters and inflammatory indices in primary STS, with a particular focus on the transition of inflammatory index before and after tumor resection in de-differentiated liposarcoma (DD-LPS).

METHODS

The clinical data of 113 patients with primary retroperitoneal STS receiving tumor resection were reviewed. Six variables (neutrophils, platelets, C-reactive protein (CRP), lymphocytes, albumin, and hemoglobin) in the blood samples were measured and nine inflammatory indices (neutrophil-lymphocyte ratio (NLR), CRP-lymphocyte ratio (CLR), platelet-lymphocyte ratio (PLR), neutrophil-albumin ratio (NAR), CRP-albumin ratio (CAR), platelet-albumin ratio (PAR), HALP (hemoglobin, albumin, lymphocyte and platelet), prognostic nutrition index (PNI), and modified Glasgow Prognostic Score (mGPS)) were calculated. The prognostic value of the indices was analyzed by univariate and multivariate analyses.

RESULTS

Elevated NLR, CLR, PLR, NAR, CAR, PAR, and mGPS were associated with a worse overall survival (p = 0.0124, 0.0011, 0.049, 0.0047, 0.0085, 0.0332, and 0.0086, respectively) in univariate analysis. Multivariate analysis showed that elevated CLR and DD-LPS were associated with poor overall survival (p = 0.0267 and 0.0218, respectively) in all retroperitoneal STS. In DD-LPD, patients with preoperative high CLR, whose postoperative CLR was normalized, demonstrated a favorable survival rate similar to those with preoperative low CLR.

CONCLUSIONS

Elevated CLR before surgery as well as DD-LPS were poor prognostic markers for overall survival in primary retroperitoneal STS. Perioperative CLR normalization may be related to a favorable prognosis in DD-LPS.

Perioperative Serum Scoring Systems Predict Early Recurrence and Poor Prognosis of Resectable Pancreatic Cancer

Objective

Some patients with pancreatic ductal adenocarcinoma (PDAC) are prone to rapid recurrence or metastasis after radical resection. However, evaluation methods for effectively identifying these patients are lacking. In this study, we established perioperative serum scoring systems to screen patients with early recurrence and poor prognosis.

Methods

We systematically analysed 44 perioperative serum parameters, including systemic inflammatory parameters, coagulation system parameters, tumor markers, and 18 clinicopathological characteristics of 218 patients with radical resection in our centre. Univariate Cox regression and LASSO regression models were used to screen variables. Kaplan-Meier survival analysis was used to compare relapse-free survival and overall survival. Multivariate Cox regression was used to evaluate the independent risk variables. AUC and C-index were used to reveal the effectiveness of the models. In addition, the effectiveness was also verified in an independent cohort of 109 patients.

Results

Preoperative systemic immune coagulation cascade (SICC) (including increased neutrophil to lymphocyte ratio, decreased lymphocyte to monocyte ratio, increased platelet and fibrinogen) and increased postoperative tumor markers (TMs) (CA199, CEA and CA242) were independent risk factors for early recurrence of resectable pancreatic cancer. On this basis, we established the preoperative SICC score and postoperative TMs score models. The patients with higher preoperative SICC or postoperative TMs score were more likely to have early relapse and worse prognosis. The nomogram based on preoperative SICC, postoperative TMs, CACI, smoking index, vascular cancer embolus and adjuvant chemotherapy can effectively evaluate the recurrence rate (AUC_{1 year}: 0.763, AUC_{2 year}: 0.679, AUC_{3 year}: 0.657) and overall survival rate (AUC_{1 year}: 0.770, AUC_{3 year}: 0.804, AUC_{5 year}: 0.763).

Conclusion

Preoperative SICC and postoperative TMs can help identify resectable PDAC patients with early recurrence and poor prognosis.

The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer

Preoperative nutrition and inflammation are closely related to tumors (T). Many hematological marker assessment tools comprise nutritional and systemic inflammatory indexes, evaluating essential factors for cancer nutrition, growth, and progression. This study retrospectively investigated whether the C-reactive protein (CRP)-to-lymphocyte ratio (CLR) could predict lymphovascular invasion (LVI) in gastric cancer (GC) patients based on their nutritional status. We included 262 patients who underwent GC surgery between 2019 and 2020. The patient's nutritional status was assessed using the Patient-Generated Subjective Global Assessment (PG-SCA), and patients with scores ≥4 were classified as malnourished. First, we examined 7 hematological marker combinations using receiver operating characteristic (ROC) curves to determine which one best predicted malnutrition. The CLR predicted malnutrition more accurately than other ratios (area under the curve: 0.62, 95% confidence interval [CI]: 0.55-0.69, P = .002); the optimal cut-off value for malnutrition was 1.04. Next, we evaluated the relationship between the 7 combinations and postoperative LVI. A CLR higher than 1.04 (odds ratio [OR]: 1.81, 95% CI: 1.09-3.00, P = .021) and a platelet-to-lymphocyte ratio (PLR) higher than 129.00 (OR: 1.64, 95% CI: 1.00-2.67, P = .049) were associated with LVI in the univariate analysis, and the CLR was an independent predictor of LVI in the multivariate analysis (OR: 1.73, 95% CI: 1.04-2.87, P = .036). The preoperative CLR can assess nutritional status and independently predict LVI in GC.

Combined detection of peripheral blood VEGF and inflammation biomarkers to evaluate the clinical response and prognostic prediction of non-operative ESCC

An association between angiogenesis/inflammation status and tumor has been reported in various types of cancer. This study sought to assess the role of peripheral blood VEGF and some inflammation biomarkers in evaluating clinical response and prognosis in patients with non-operative esophageal squamous cell carcinoma (ESCC). Peripheral blood of 143 patients with non-operative ESCC at our institute was dynamically collected at 5 time points including 1 day before radiotherapy, during radiotherapy (15f), at the end of radiotherapy, 1 month after radiotherapy, and 3 months after radiotherapy. VEGF expression in the peripheral blood was detected and related inflammation biomarkers such as GPS, CAR and CLR were counted. Logistic regression and Cox regression were implemented respectively to analyze the correlation of each predictor with clinical response and prognosis. The performance of combined testing was estimated using AUCs. Based on independent predictors, a nomogram prediction model was established to predict the probabilities of 1- and 2-year PFS of patients. The effectiveness of the nomogram model was characterized by C-index, AUC, calibration curves and DCA. VEGF and CLR levels at the end of radiotherapy were independent predictors of clinical response, while VEGF and GPS levels at 3 months after radiotherapy were independent prognostic predictors. The efficacy of combined detection of VEGF and CLR is superior to the single detection in evaluating clinical response and prognosis. The nomogram showed excellent accuracy in predicting PFS. The combined detection of VEGF and CLR at the end of radiotherapy can be used to evaluate the clinical response of patients with non-operative ESCC, and the combined detection of VEGF and GPS 3 months after radiotherapy can be used to predict the prognosis. Implemented by nomogram model, it is expected to provide practical and reliable method to evaluate the clinical response and prognosis of patients with non-operative ESCC tool.

Levels of C-Reactive Protein and Sodium May Differentiate a Perforated Appendix from a Nonperforated Appendix in Children

Background

Acute appendicitis (AA) might be amenable to conservative antibiotic treatment, whereas a perforated appendix (PA) necessitates surgery. We investigated the value of clinical–laboratory markers in distinguishing AA from a PA.

Methods

Retrospectively obtained preoperative parameters for 306 consecutive patients (<18 years) with histologically confirmed appendicitis (AA (n = 237) vs. PA (n = 69)), treated at our institution between January 2014 and December 2017.

Results

A PA was associated with male preponderance, younger age, decreased sodium level and increased white blood cell count, Tzanakis score, C-reactive protein (CRP) level, and CRP-to-lymphocyte ratio (CLR). Upon discrimination analysis, CLR and CRP displayed the highest accuracy in differentiating a PA from AA. Regression analysis identified levels of CRP, sodium, and the Tzanakis score as independent predictors for a PA.

Conclusion

Levels of CLR, CRP, sodium, and Tzanakis score might support decision-making regarding treatment options for pediatric appendicitis.

Preoperative lymphocyte/C-reactive protein ratio and its correlation with CD8+ tumor-infiltrating lymphocytes as a predictor of prognosis after resection of intrahepatic cholangiocarcinoma

PURPOSE

To clarify whether the preoperative lymphocyte/C-reactive protein (CRP) ratio (LCR) is a prognostic factor for patients with intrahepatic cholangiocarcinoma (IHCC), and investigate its mechanism via tumor-infiltrating lymphocytes.

METHODS

The subjects of this retrospective study were 42 patients who had undergone hepatectomy for IHCC. We divided the patients into low LCR and high LCR groups (cutoff value: 8780) and analyzed their overall survival (OS) and disease-free survival (DFS) with respect to LCR and other clinicopathological factors. We also investigated the levels of stromal tumor-infiltrating lymphocytes (TILs) and CD8⁺ TILs in surgical specimens, and the relationship between LCR and TILs.

RESULTS

A low LCR was identified in 21 patients and was significantly correlated with older age, a high CRP-albumin ratio, and advanced disease stage, and was a prognostic factor for OS and DFS. Multivariate analysis revealed that a low LCR was an independent prognostic factor for worse OS (HR 10.40, P = 0.0077). Although the LCR and levels of stromal TILs were not significantly related, LCR and levels of CD8⁺ TILs were significantly related (P = 0.0297).

CONCLUSION

The preoperative LCR may predict the postsurgical prognosis of patients with IHCC and reflect the CD8⁺ TILs.

The preoperative C-reactive protein-lymphocyte ratio and the prognosis of oral cavity squamous cell carcinoma

BACKGROUND

We aimed to investigate the preoperative C-reactive protein (CRP)-lymphocyte ratio (CLR) as a prognostic biomarker in oral cavity squamous cell carcinoma (OSCC).

METHODS

Three hundred and sixteen patients with OSCC treated with curative surgery were retrospectively assessed and the receiver operating characteristic curve was used to evaluate the discriminative ability of inflammatory markers. The prognostic value of CLR was investigated with Cox proportional hazards analysis.

RESULTS

The CLR cutoff of 3.88 (p < 0.001) demonstrated optimal prognostic performance compared with other inflammatory combinations. A higher preoperative CLR (≥3.88) was significantly associated with clinicopathological aggressiveness and predicted unfavorable overall survival and disease-free survival (hazard ratios = 3.498 and 1.994, respectively; both p < 0.001). The CLR-based nomogram provided accurate survival prediction (concordance index: 0.803).

CONCLUSIONS

Preoperative CLR is a feasible prognostic biomarker in patients with OSCC, and the CLR-based nomogram might serve as prognostic tool in era of personalized medicine.

Diagnostic, Predictive and Prognostic Molecular Biomarkers in Pancreatic Cancer: An Overview for Clinicians

Simple Summary

Pancreatic cancer is the fourth most common cancer-related cause of death in the United States and is usually asymptomatic in early stages. There is a scarcity of tests that facilitate early diagnosis or accurately predict the disease progression. To this end, biomarkers have been identified as important tools in the diagnosis and management of pancreatic cancer. Despite the increasing number of biomarkers described in the literature, most of them have demonstrated moderate sensitivity and/or specificity and are far from being considered as screening tests. More efficient non-invasive biomarkers are needed to facilitate early-stage diagnosis and interventions. Multi-disciplinary collaboration might be required to facilitate the identification of such markers.

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is the most common pancreatic malignancy and is associated with aggressive tumor behavior and poor prognosis. Most patients with PDAC present with an advanced disease stage and treatment-resistant tumors. The lack of noninvasive tests for PDAC diagnosis and survival prediction mandates the identification of novel biomarkers. The early identification of high-risk patients and patients with PDAC is of utmost importance. In addition, the identification of molecules that are associated with tumor biology, aggressiveness, and metastatic potential is crucial to predict survival and to provide patients with personalized treatment regimens. In this review, we summarize the current literature and focus on newer biomarkers, which are continuously added to the armamentarium of PDAC screening, predictive tools, and prognostic tools.

Emodin Reverses Gemcitabine Resistance of Pancreatic Cancer Cell Lines Through Inhibition of IKKβ/NF-κB Signaling Pathway

Background

Pancreatic cancer is one of the most malignant tumors, and gemcitabine has been considered as the standard treatment and been widely utilized as a first-line drug for advanced pancreatic cancer, but gemcitabine-resistance always occurs after a short period of treatment.

Methods

Two pancreatic cancer cell lines Panc-1 and MIA-PaCa-2 were used as the study subject and their gemcitabine-resistant cells were established. Both drug-resistant cells were divided into four groups: blank, emodin, gemcitabine, and emodin+gemcitabine. Cell viability was detected by MTT assay. Flow cytometry was performed to detect cell apoptosis rate and P-gp function. Quantitative real-time polymerase chain reaction and Western blotting were used to detect Survivin, XIAP, Caspase-9/3, NF-κB p65, IKKβ and IκB-α mRNA/protein expressions, respectively. Electrophoretic mobility shift assay (EMSA) was performed to detect NF-κB binding activity. Rhodamine 123 efflux assay was used to detect P-gp function.

Results

Emodin could inhibit cell activity in all cell lines. Both emodin and gemcitabine can significantly increase the apoptosis rate, and the combination of the two drugs can further significantly increase the apoptosis rate in normal pancreatic cancer cell lines. In both drug-resistant pancreatic cancer cell lines, it can be observed that although gemcitabine can increase the apoptosis rate, the effect of promoting apoptosis is significantly lower than that of emodin; the drug combination can still significantly increase the apoptosis rate on the basis of emodin alone. Emodin can significantly reduce the mRNA and protein expression levels of Survivin, XIAP, NF-κB, and IKKβ, and significantly increase the mRNA and protein expression levels of Caspase-3/9 and IκB-α. Emodin significantly reduced NF-κB activity and emodin significantly promoted P-gp fluorescence intensity from Rhodamine 123 efflux assay.

Conclusion

Emodin inhibits the expression of IKKβ, thereby inhibiting the expression and activity of downstream NF-κB, and inhibits P-gp function at the same time, ultimately achieving the purpose of reversing the drug-resistance of pancreatic cancer cell lines.

Prognostic value of preoperative glucose to lymphocyte ratio in patients with resected pancreatic cancer

BACKGROUND

Inflammatory factors and fasting blood glucose were verified to be associated with the prognosis of pancreatic ductal adenocarcinoma. The goal of this study is to confirm the prognostic role of preoperative blood glucose to lymphocyte ratio for patients with resected pancreatic ductal adenocarcinoma.

METHODS

A total of 259 pancreatic ductal adenocarcinoma patients were enrolled and randomly divided into training cohort and validation cohort. The training cohort was used to generate an optimal cutoff value and the validation cohort was used to further validate the model.

RESULTS

A total of 259 patients were incorporated in this study and randomly divided into the training cohort (n = 130, 1/2 of 259) and the validation cohort (129, 1/2 of 259). The optimal cutoff value of glucose to lymphocyte ratio was calculated to be 3.47 for overall survival. Cox regression analysis found that preoperative blood glucose to lymphocyte ratio was independent risk factor (p = 0.040) for overall survival. Prognostic values of glucose to lymphocyte ratio on overall survival were observed in younger male patients with pancreatic body and tail cancer, American Joint Committee on Cancer 8th N1 stage, without microvascular and peripancreatic fat invasion, and Carbohydrate antigen 19-9 higher than 200 U/ml. A prognostic prediction model of overall survival was designed and presented in nomogram.

CONCLUSION

Preoperative blood glucose to lymphocyte ratio is an independent biomarker to predict the overall survival for pancreatic ductal adenocarcinoma patients who underwent curative resection.