Albumin/globulin ratio is negatively correlated with PD-1 and CD25 mRNA levels in breast cancer patients

Associations of total protein, albumin, and globulin with insulin resistance: an NHANES study

Objective

Insulin resistance (IR) is a well-established major risk factor for type 2 diabetes mellitus, nonalcoholic fatty liver disease, and atherosclerotic cardiovascular disease. Previous studies have shown an association between increased serum albumin (ALB) levels and the risk of IR. However, there is a lack of studies simultaneously evaluating the association of total protein (TP), ALB, and globulin (GLB) with IR.

Methods

A total of 14,828 individuals (average age 49 ± 18 years) with complete data from the National Health and Nutrition Examination Survey (NHANES) were enrolled and divided into two groups (non-IR group, n = 8,653 and IR group, n = 6,175). Spearman's correlation analysis, multivariable logistic regression models, restricted cubic spline curves, and subgroup analysis were performed to explore those associations.

Results

After adjustment for potential confounders, multivariable logistic regression analysis revealed that scaled per 10g/L increment, the fully adjusted odds ratios (ORs) (95% confidence interval (CI)) for IR prevalence were 1.54 (95% CI 1.41-1.69, P < 0.0001), 1.09 (95% CI 0.95-1.25), P = 0.1995), and 1.62 (95% CI 1.47-1.79, P < 0.0001) for TP, ALB, and GLB respectively. Compared to those in the lowest quantiles, the prevalence of IR in subjects in the highest TP and GLB quantiles was 2.06 and 1.91 times, respectively. Furthermore, restrictive cubic curves confirmed that the relationship of TP, ALB, and GLB with IR prevalence was a linear relationship.

Conclusions

The present cross-sectional study, for the first time, provided supportive evidence of positive associations of TP and GLB with IR, but not ALB, and demonstrated that TP and GLB might be useful markers for IR prevalence.

A nomogram based on inflammation and nutritional biomarkers for predicting the survival of breast cancer patients

Background

We aim to develop a new prognostic model that incorporates inflammation, nutritional parameters and clinical-pathological features to predict overall survival (OS) and disease free survival (DFS) of breast cancer (BC) patients.

Methods

The study included clinicopathological and follow-up data from a total of 2857 BC patients between 2013 and 2021. Data were randomly divided into two cohorts: training (n=2001) and validation (n=856) cohorts. A nomogram was established based on the results of a multivariate Cox regression analysis from the training cohorts. The predictive accuracy and discriminative ability of the nomogram were evaluated by the concordance index (C-index) and calibration curve. Furthermore, decision curve analysis (DCA) was performed to assess the clinical value of the nomogram.

Results

A nomogram was developed for BC, incorporating lymphocyte, platelet count, hemoglobin levels, albumin-to-globulin ratio, prealbumin level and other key variables: subtype and TNM staging. In the prediction of OS and DFS, the concordance index (C-index) of the nomogram is statistically greater than the C-index values obtained using TNM staging alone. Moreover, the time-dependent AUC, exceeding the threshold of 0.7, demonstrated the nomogram's satisfactory discriminative performance over different periods. DCA revealed that the nomogram offered a greater overall net benefit than the TNM staging system.

Conclusion

The nomogram incorporating inflammation, nutritional and clinicopathological variables exhibited excellent discrimination. This nomogram is a promising instrument for predicting outcomes and defining personalized treatment strategies for patients with BC.

The residual cancer burden index as a valid prognostic indicator in breast cancer after neoadjuvant chemotherapy

PURPOSE

The residual cancer burden index (RCB) was proposed as a response evaluation criterion in breast cancer patients treated with Neoadjuvant Chemotherapy (NAC). This study evaluated the relevance of RCB with replase-free survival (RFS).

METHODS

The clinical data of 254 breast cancer patients who received NAC between 2016 and 2020 were retrospectively collected. The relationship between clinicopathologic factors and RFS was evaluated using Cox proportional hazards regression models. RFS estimates were determined by Kaplan-Meier(K-M) analysis and compared using the log-rank test. Multivariate logistic regression analysis was used to evaluate the risk factors associated with RCB. Receiver operating characteristic (ROC) curves showed the potential of the RCB and MP grading systems as biomarkers for RFS.

RESULTS

At a median follow-up of 52 months, 59 patients(23.23%) developed relapse. Multivariate Cox regression showed that older age (P = 0.022), high Pathologic T stage after NAC (P = 0.023) and a high RCB score(P = 0.003) were risk factors for relapse. The outcomes of the multivariate logistic analysis indicated that RCB 0 (pathologic complete response [pCR]) was associated with HER2-positive patients (P = 0.002) and triple-negative breast cancer (TNBC) patients (P = 0.013). In addition, the RCB and MP scoring systems served as prognostic markers for patients who received NAC, and their area under curves (AUCs) were 0.691 and 0.342, respectively.

CONCLUSION

These data suggest that RCB can be equally applied to predict RFS in Chinese patients with NAC. The application of RCB may help guide the selection of treatment strategies.

Peripheral blood nutrient indices as biomarkers for anti‑PD‑1 therapy efficacy and prognosis in patients with advanced gastric cancer

Immunotherapy offers survival benefits for patients with advanced gastric cancer, but not all populations can benefit from immunotherapy. Good nutritional status is fundamental to a patient's immune function and may have an impact on the efficacy of immunotherapy. The present study aimed to investigate changes in prognostic nutritional index (PNI), advanced lung cancer inflammation index (ALI) and albumin-globulin ratio (AGR) values before and after immunotherapy in patients with advanced gastric cancer. The study also aimed to determine the potential association of the aforementioned values with patient outcomes and prognosis. Body mass index (BMI), serum albumin, total protein, peripheral blood lymphocyte, neutrophil, carcinoembryonic antigen (CEA), carbohydrate antigen19-9 (CA19-9) and a-fetoprotein (AFP) data were collected from 195 patients with advanced gastric cancer who underwent immunotherapy from January 2020 to October 2021. In addition, PNI, ALI and AGR values were calculated based on variables in blood collected from the patients within 3 days prior to immunotherapy and 3 weeks after immunotherapy. The results demonstrated that low PNI was associated with elevated CEA levels. Moreover, low ALI levels were associated with reduced BMI levels, elevated AFP levels, PD-L1 negative and first-line treatment. Comparison of responding and non-responding groups revealed that patients who responded to immunotherapy had higher PNI and AGR values than patients who did not respond, both before and after treatment, but had lower CEA and CA19-9 levels after treatment. Furthermore, in the non-responding group, PNI and AGR values were decreased and CEA values were increased following treatment compared with those prior to treatment. The objective response and disease control rates were higher in the high PNI and AGR groups compared with the low PNI and AGR groups, respectively. Moreover, PNI and AGR were found to be independent predictors of the short-term efficacy of immunotherapy for advanced gastric cancer, with cut-off values of 47.18 and 1.29, respectively. Univariate analysis revealed that ALI was associated with the progression-free survival (PFS) of patients, while multivariate analysis demonstrated that baseline PNI and AGR were independent predictors of PFS. In conclusion, tumor progression leads to a decline in the nutritional level of patients, and the present study indicated that effective immunotherapy may alleviate this deterioration to a certain extent. Furthermore, PNI and AGR exhibit potential in predicting the efficacy of immunotherapy and the prognosis of patients with advanced gastric cancer, and may exhibit potential as biomarkers in clinical practice.

A Novel Inflammatory and Nutritional Prognostic Scoring System for Nonpathological Complete Response Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy

Background

It has been demonstrated that inflammatory and nutritional variables are associated with poor breast cancer survival. However, some studies do not include these variables due to missing data. To investigate the predictive potential of the INPS, we constructed a novel inflammatory-nutritional prognostic scoring (INPS) system with machine learning.

Methods

This retrospective analysis included 249 patients with malignant breast tumors undergoing neoadjuvant chemotherapy (NAC). After comparing seven potent machine learning models, the best model, Xgboost, was applied to construct an INPS system. K-M survival curves and the log-rank test were employed to determine OS and DFS. Univariate and multivariate analyses were carried out with the Cox regression model. Additionally, we compared the predictive power of INPS, inflammatory, and standard nutritional variables using the Z test.

Results

After comparing seven machine learning models, it was determined that the XGBoost model had the best OS and DFS performance (AUC = 0.865 and 0.771, respectively). For overall survival (OS, cutoff value = 0.3917) and disease-free survival (cutoff value = 0.4896), all patients were divided into two groups by the INPS. Those with low INPS had higher 5-year OS and DFS rates (77.2% vs. 50.0%, P < 0.0001; and 59.6% vs. 32.1%, P < 0.0001, respectively) than patients with high INPS. For OS and DFS, the INPS exhibited the highest AUC compared to the other inflammatory and nutritional variables (AUC = 0.615, P = 0.0003; AUC = 0.596, P = 0.0003, respectively).

Conclusion

The INPS was an independent predictor of OS and DFS and exhibited better predictive ability than BMI, PNI, and MLR. For patients undergoing NAC for nonpCR breast cancer, INPS was a crucial and comprehensive biomarker. It could also forecast individual survival in breast cancer patients with low HER-2 expression.

[Development and validation of nomogram for predicting prognosis of patients with laryngeal squamous cell carcinoma after surgery]

Objective:To explore the relationship between preoperative blood indexes, clinicopathological characteristics and prognosis of patients with laryngeal squamous cell carcinoma（LSCC）, and to establish a nomogram for predicting survival and recurrence time of LSCC patients. Methods:The clinical data of 530 patients with LSCC who received primary surgical treatment were analyzed retrospectively. The patients were randomly divided into training group and testing group according to the ratio of 7∶3. The nomograms of overall survival（OS） and recurrence-free survival（RFS） were constructed based on Cox regression model, and the nomograms were verified and compared with TNM stage. Results:The results of multivariate analysis showed that age, operation mode, tumor diameter, TNM stage, cervical lymph node metastasis, fibrinogen level and systemic immune inflammation index were significantly correlated with OS, while operation mode, tumor diameter, TNM stage, cervical lymph node metastasis, international normalized ratio, neutrophil to lymphocyte ratio and platelet to lymphocyte ratio were significantly correlated with RFS. The nomograms were constructed based on the above factors. The C-indexes of the nomograms of OS and RFS in the training group were 0.755 and 0.687, respectively, which were higher than those of TNM stage（0.657 and 0.582）. In the testing group, the C-indexes of OS and RFS nomograms were 0.717 and 0.646, respectively, which were higher than those of TNM stage（0.599 and 0.528）. The area under the receiver operating characteristic curves of these nomograms were also higher than TNM stage. The calibration curves showed that the models had good consistency. Decision curve analysis（DCA） showed that these nomograms had higher clinical benefit than TNM stage. Conclusion:Based on the independent prognostic factors, the predictive nomograms of OS and RFS at 1, 3 and 5 years after LSCC were constructed, which have certain clinical significance in guiding the individualized diagnosis and treatment of LSCC.

Value of Preoperative Hematological Parameters in the Prognosis of Gastric Cancer Patients Undergoing a Total Gastrectomy

OBJECTIVE

This study aimed to evaluate the relationships between the albumin/globulin ratio (AGR), neutrophil/lymphocyte ratio (NLR), and platelet/lymphocyte ratio (PLR) and clinicopathological information for gastric cancer patients. In addition, the prognostic values of these hematological parameters for resectable gastric cancer patients undergoing a total gastrectomy were determined.

METHODS

A total of 245 patients with gastric cancer who underwent a total gastrectomy at our hospital between January 1, 2005, and December 30, 2015, were enrolled into this study. The preoperative AGR, NLR, and PLR in the serum samples of the patients were measured. The relationships between the hematological parameters and the disease-free survival (DFS) as well as overall survival (OS) were analyzed by statistical analysis.

RESULTS

The cutoff values of AGR, NLR, and PLR were 1.57, 3.5, and 193, respectively. Univariate analyses demonstrated that a low AGR, a high NLR, and a high PLR were significant risk factors for a poor prognosis. According to multivariate analysis, a high PLR was found to be independently associated with a poor survival. Additionally, when age was considered as a stratified factor, univariate analyses demonstrated that a low AGR had the tendency to be correlated with a shorter DFS in nonelderly patients (<65 years old). A low AGR was significantly correlated with a shorter DFS and OS in elderly patients (≥65 years old).

CONCLUSION

AGR, NLR, and PLR are independent risk factors associated with a poor gastric cancer survival by univariate analysis, and AGR is an independent risk factor for predicting DFS and OS in elderly patients (≥65 years old) with gastric cancer after total gastrectomy.

Combination of Total Psoas Index and Albumin-Globulin Score for the Prognosis Prediction of Bladder Cancer Patients After Radical Cystectomy: A Population-Based Study

Background

Sarcopenia as the loss of skeletal muscle mass is related with poor postoperative survival. This work purposed to evaluate the prognostic prediction of the total psoas index (TPI), albumin–globulin score (AGS), and the combination of TPI and AGS (CTA) in bladder cancer (BCa) patients after radical cystectomy.

Methods

BCa patients that received radical cystectomy between 2012 and 2020 were retrieved from our medical center. The calculation of TPI was based on the plain computed tomography images. The predictive effects of TPI, AGS, and CTA grade on survival of BCa patients were analyzed and compared with the albumin–globulin ratio (AGR) through the receiver operating characteristic (ROC) curves. A nomogram was further established based on the Cox regression results from CTA grade and clinicopathological characteristics, which are verified by the decision curve analysis (DCA).

Results

A total of 112 eligible patients diagnosed as BCa were included in this study for retrospective analysis. The patients with lower TPI or higher AGS grade (1/2) contained poorer overall survival (OS) and disease-free survival (DFS). Divided by CTA grade, there were 35 (31.25%) patients in grade 1 associated with the best postoperative prognosis, which was accompanied with increased TPI and decreased AGS. The CTA grade could better predict postoperative outcomes compared with TPI, AGR, and AGS for the highest area under the curve (AUC; 0.674 of OS and 0.681 of DFS). The 3- and 5-year OS and DFS nomograms were conducted based on CTA grade and clinical variables, with a higher predictive performance than the TNM stage.

Conclusion

This study revealed that the novel index CTA functioned as an effective prognostic predictor for postoperative OS and DFS of BCa patients after radical cystectomy. Preoperative assessment of CTA would contribute to optimizing clinical therapies.

Impact of genetic variants in IL-2RA and IL-2RB on breast cancer risk in Chinese Han women

The expression of IL-2RA and IL-2RB was correlated with breast cancer (BC) progression. However, there is no literature investigating the association of IL-2RA and IL-2RB polymorphisms with BC predisposition among Chinese Han Women. Seven SNPs in IL-2RA and IL-2RB were genotyped by Agena MassARRAY platform among 553 BC patients and 550 healthy controls. Odds ratios (OR) and 95% confidence interval (CI) adjusted for age were calculated for the effect of IL-2RA and IL-2RB variants on BC susceptibility. IL-2RA rs12722498 was a protective factor for BC occurrence (OR = 0.70, p = 0.019), especially in subjects with age ≤ 52 years (OR = 0.55, p = 0.004). IL-2RA rs12569923 (OR = 9.07, p = 0.033), IL-2RB rs2281089 (OR = 0.67, p = 0.043) and rs9607418 (OR = 0.59, p = 0.012) were related to the incidence of estrogen receptor positive (ER +) BC. IL-2RB rs3218264 (OR = 1.38, p = 0.010) and rs9607418 (OR = 0.56, p = 0.009) were associated with the risk of developing progesterone receptor positive (PR +) BC. Rs2281089 (OR = 1.54, p = 0.012) and rs1573673 (OR = 0.72, p = 0.035) were correlated to Ki-67 level. Moreover, IL-2RB rs2281089 (OR = 0.72, p = 0.022) showed a reduced risk of BC metastasis, and IL-2RA rs12722498 (OR = 0.54, p = 0.030) had a lower frequency in BC patients with tumor size > 2 cm. Our study identified the potential effect of genetic variations in IL-2RA and IL-2RB on BC susceptibility and/or BC clinicopathologic indicators among Chinese Han Women.

Preoperative albumin-to-globulin ratio as a significant prognostic indicator in urologic cancers: a meta-analysis

Background

Emerging studies reported that preoperative albumin-to-globulin ratio (AGR) correlated with tumor progression and prognosis in several types of cancer. The aim of this study was to systematically explore the association between preoperative AGR and clinical outcomes in cancers of the urinary system.

Methods

Relevant articles were searched in PubMed, Embase and Web of Science by two independent investigators from inception to June 1, 2018. Eligible studies were selected based on predetermined selection criteria. Summarized HRs or ORs and 95% CIs were calculated for prognosis and clinicopathologic features with the fixed-effects or random-effects models.

Results

Eight cohort studies comprising 2,668 patients were included for analysis. The pooled results showed that a low AGR significantly correlated with poor OS (HR: 0.38, 95% CI: 0.27-0.48, P<0.001), worse cancer-specific survival (CSS) (HR: 0.36, 95% CI: 0.22-0.50, P<0.001) and inferior event-free survival (EFS) (HR: 0.36, 95% CI: 0.25-0.48, P<0.001) in urologic cancers. In addition, patients in low and high AGR groups showed significant differences in lymphovascular invasion (P<0.001), pT status (P<0.001) and pN status (P<0.001).

Conclusion

Preoperative AGR might be a valuable, cheap and reproducible prognostic bio-marker in urologic cancers following surgical resection.

Increased derived neutrophil-to-lymphocyte ratio and Breast Imaging-Reporting and Data System classification predict poor survival in patients with non-distant metastatic HER2+ breast cancer treated with neoadjuvant chemotherapy

Introduction

The prognostic role of the derived neutrophil-to-lymphocyte ratio (dNLR) in human patients with HER2+ breast cancer is not well understood. Here, we aimed to investigate the prognostic significance of dNLR in patients with HER2+ breast cancer undergoing neoadjuvant chemotherapy.

Methods

A total of 310 patients with non-distant metastatic HER2+ breast cancer who had received neoadjuvant chemotherapy in our hospital from May 2006 to November 2013 were retrospectively included in this study. Kaplan–Meier curves were used to assess overall survival (OS) and disease-free survival (DFS). The Cox regression model was used to evaluate the prognostic value of dNLR and Breast Imaging-Reporting and Data System (BI-RADS) classification, as well as other clinicopathological parameters in patients with HER2+ breast cancer treated with neoadjuvant chemotherapy.

Results

We found that dNLR prior to treatment was positively correlated with tumor size, tumor stage, lymphovascular invasion, and histological grade (P<0.05). The median OS of patients with high dNLR and low dNLR were 44.2 and 69.9, respectively (P<0.001), and the median DFS of patients with high dNLR and low dNLR were 15.3 and 22.1 months, respectively (P<0.001). Multivariate analysis showed that dNLR was an independent risk factor for OS (HR =1.726; 95% CI: 1.072–2.662; P=0.009) and DFS (HR =1.658; 95% CI: 1.125–2.426; P=0.026). Moreover, increased BI-RADS classification independently predicted short OS (HR =1.609; 95% CI: 1.216–2.351; P=0.015) and DFS (HR =1.925; 95% CI: 1.526–2.635; P=0.021).

Conclusion

dNLR prior to treatment and BI-RADS classification are independent prognostic factors in patients with HER2+ breast cancer receiving neoadjuvant chemotherapy.