A low preoperative albumin-to-globulin ratio is a negative prognostic factor in patients with surgically treated cervical cancer

Prognostic and clinicopathological value of the controlling nutritional status (CONUT) score in patients with head and neck cancer: a meta-analysis

BACKGROUND

The efficiency of controlling nutritional status (CONUT) score in detecting the prognosis of head and neck cancer (HNC) patients has been investigated in some works, but no consistent findings are obtained. Therefore, this work focused on evaluating the precise prognostic role of CONUT for HNC patients through meta-analysis.

METHODS

The effect of CONUT on predicting the prognosis of HNC patients was evaluated through calculating combined hazard ratios (HRs) as well as 95% confidence intervals (CIs). The correlations of CONUT with clinicopathological features of HNC patients were investigated through combined odds ratios (ORs) and 95%CIs. This study used the random-effects model in the case of significant heterogeneity; or else, we selected the fixed-effects model.

RESULTS

There were eight articles involving 1,478 patients enrolled for the current meta-analysis. We adopted the fixed-effects model for OS and DFS analysis because of the non-significant heterogeneity. As demonstrated by our combined findings, high CONUT score could significantly predict the poor overall survival (OS) (HR = 1.94, 95%CI = 1.55-2.44, p < 0.001) and disease-free survival (DFS) (HR = 1.93, 95%CI = 1.45-2.56, p < 0.001) of HNC. In addition, higher CONUT score was significantly connected to T3-T4 stage (OR = 3.21, 95%CI = 1.94-5.31, p < 0.001) and N1-N3 stage (OR = 3.10, 95%CI = 1.74-5.53, p < 0.001).

CONCLUSION

According to findings in the present meta-analysis, high CONUT score significantly predicted the prognosis of OS and DFS for HNC patients. Higher CONUT score was also correlated to larger tumor size and LN metastasis in HNC. Due to it is a cost-effective and easily available parameter, CONUT could serve as promising prognostic biomarker for HNC.

The Prognostic Value of Serum Albumin to Globulin Ratio in Patients with Breast Cancer: A Retrospective Study

Objective

This study examined the potential risk value of the serum albumin to globulin ratio (AGR) in patients with breast cancer (BC).

Methods

This study employed a retrospective design, enrolling 332 patients with BC and 38 patients without BC treated at Taizhou People's Hospital between September 2015 and May 2021. Multivariate Cox proportional hazard regression models were used to identify potential risk factors. A prognostic nomogram was developed based on the multivariate analyses. The receiver operating characteristic curve determined the optimal cutoff value for AGR.

Results

The results indicated a statistically significant decrease in AGR among patients with BC. Significant disparities were observed in globulin and AGR levels between the two cohorts. AGR was significantly associated with tumor size and stage, with a marked decline in advanced stages of BC. Additionally, AGR and aspartate transaminase/Alanine aminotransferase (AST/ALT) emerged as significant diagnostic indicators for invasive carcinoma and advanced stages (II-IV) of BC. Specifically, AGR exhibited an area under the curve of 0.645 (P < 0.003), highlighting the discriminatory capacity of serum globulin levels in distinguishing between BC and non-BC cohorts.

Conclusions

The AGR, routinely assessed due to its simplicity, objectivity, and cost-effectiveness, holds promise as a potential risk factor for BC and may have practical implications in clinical settings.

Construction of a prognostic model for extensive-stage small cell lung cancer patients undergoing immune therapy in northernmost China and prediction of treatment efficacy based on response status at different time points

BACKGROUND AND PURPOSE

Recently, the emergence of immune checkpoint inhibitors has significantly improved the survival of patients with extensive-stage small cell lung cancer. However, not all patients can benefit from immunotherapy; therefore, there is an urgent need for precise predictive markers to screen the population for the benefit of immunotherapy. However, single markers have limited predictive accuracy, so a comprehensive predictive model is needed to better enable precision immunotherapy. The aim of this study was to establish a prognostic model for immunotherapy in ES-SCLC patients using basic clinical characteristics and peripheral hematological indices of the patients, which would provide a strategy for the clinical realization of precision immunotherapy and improve the prognosis of small cell lung cancer patients.

METHODS

This research retrospectively collected data from ES-SCLC patients treated with PD-1/PD-L1 inhibitors between March 1, 2019, and October 31, 2022, at Harbin Medical University Cancer Hospital. The study data was randomly split into training and validation sets in a 7:3 ratio. Variables associated with patients' overall survival were screened and modeled by univariate and multivariate Cox regression analyses. Models were presented visually via Nomogram plots. Model discrimination was evaluated by Harrell's C index, tROC, and tAUC. The calibration of the model was assessed by calibration curves. In addition, the clinical utility of the model was assessed using a DCA curve. After calculating the total risk score of patients in the training set, patients were stratified by risk using percentile partitioning. The Kaplan-Meier method was used to plot OS and PFS survival curves for different risk groups and response statuses at different milestone time points. Differences in survival time groups were compared using the chi-square test. Statistical analysis software included R 4.1.2 and SPSS 26.

RESULTS

This study included a total of 113 ES-SCLC patients who received immunotherapy, including 79 in the training set and 34 in the validation set. Six variables associated with poorer OS in patients were screened by Cox regression analysis: liver metastasis (P = 0.001), bone metastasis (P = 0.013), NLR < 2.14 (P = 0.005), LIPI assessed as poor (P < 0.001), PNI < 51.03 (P = 0.002), and LDH ≥ 146.5 (P = 0.037). A prognostic model for immunotherapy in ES-SCLC patients was constructed based on the above variables. The Harrell's C-index in the training and validation sets of the model was 0.85 (95% CI 0.76-0.93) and 0.88 (95% CI 0.76-0.99), respectively; the AUC values corresponding to 12, 18, and 24 months in the tROC curves of the training set were 0.745, 0.848, and 0.819 in the training set and 0.858, 0.904 and 0.828 in the validation set; the tAUC curves show that the overall tAUC is > 0.7 and does not fluctuate much over time in both the training and validation sets. The calibration plot demonstrated the good calibration of the model, and the DCA curve indicated that the model had practical clinical applications. Patients in the training set were categorized into low, intermediate, and high risk groups based on their predicted risk scores in the Nomogram graphs. In the training set, 52 patients (66%) died with a median OS of 15.0 months and a median PFS of 7.8 months. Compared with the high-risk group (median OS: 12.3 months), the median OS was significantly longer in the intermediate-risk group (median OS: 24.5 months, HR = 0.47, P = 0.038) and the low-risk group (median OS not reached, HR = 0.14, P = 0.007). And, the median PFS was also significantly prolonged in the intermediate-risk group (median PFS: 12.7 months, HR = 0.45, P = 0.026) and low-risk group (median PFS not reached, HR = 0.12, P = 0.004) compared with the high-risk group (median PFS: 6.2 months). Similar results were obtained in the validation set. In addition, we observed that in real-world ES-SCLC patients, at 6 weeks after immunotherapy, the median OS was significantly longer in responders than in non-responders (median OS: 19.5 months vs. 11.9 months, P = 0.033). Similar results were obtained at 12 weeks (median OS: 20.7 months vs 11.9 months, P = 0.044) and 20 weeks (median OS: 20.7 months vs 11.7 months, P = 0.015). Finally, we found that in the real world, ES-SCLC patients without liver metastasis (P = 0.002), bone metastasis (P = 0.001) and a total number of metastatic organs < 2 (P = 0.002) are more likely to become long-term survivors after receiving immunotherapy.

CONCLUSION

This study constructed a new prognostic model based on basic patient clinical characteristics and peripheral blood indices, which can be a good predictor of the prognosis of immunotherapy in ES-SCLC patients; in the real world, the response status at milestone time points (6, 12, and 20 weeks) can be a good indicator of long-term survival in ES-SCLC patients receiving immunotherapy.

Prognostic and clinicopathological impacts of systemic immune-inflammation index on patients with diffuse large B-cell lymphoma: a meta-analysis

Background

The systemic immune-inflammation index (SII) represents the immunoinflammatory score and can be considered as a prognostic marker; however, its relevance to the prognosis in patients with diffuse large B-cell lymphoma (DLBCL) remains unclear.

Objectives

The present meta-analysis was conducted to comprehensively evaluate the relationship between the SII and prognosis in patients with DLBCL.

Design

This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.

Data sources and methods

The PubMed, Web of Science, Embase, and Cochrane Library databases were comprehensively searched from inception to 16 March 2023. We calculated combined hazard ratios (HRs) and 95% confidence intervals (CIs) to estimate the prognostic significance of the SII for overall survival (OS) and progression-free survival (PFS) in DLBCL. In addition, this study determined odds ratios (ORs) and their 95% CIs to evaluate the correlation of SII with the clinicopathological features of DLBCL.

Results

Five articles including 592 cases were enrolled in the current meta-analysis. According to our combined findings, the higher SII significantly predicted worse OS (HR = 3.87, 95% CI: 2.48-6.04, p < 0.001) together with inferior PFS (HR = 2.38, 95% CI: 1.12-5.08, p = 0.024) in DLBCL. Furthermore, a high SII was significantly correlated with B symptoms (OR = 2.52, 95% CI: 1.66-3.81, p < 0.001), III-IV Ann Arbor stage (OR = 2.86, 95% CI: 1.84-4.45, p < 0.001), high-intermediate/high National Comprehensive Cancer Network International Prognostic Index (OR = 2.25, 95% CI: 1.52-3.31, p < 0.001), increased neutrophil-to-lymphocyte ratio (OR = 33.76, 95% CI: 17.18-66.35, p < 0.001), and increased platelet-to-lymphocyte ratio (OR = 44.65, 95% CI: 5.80-343.59, p < 0.001). Nonetheless, the SII was not significantly related to sex, age, lactic dehydrogenase level, Eastern Cooperative Oncology Group performance status, or histology.

Conclusion

According to this meta-analysis, the higher SII dramatically predicted inferior OS and PFS of DLBCL. Furthermore, an increased SII significantly correlated with some clinicopathological features representing the disease progression of DLBCL.

Trial registration

The protocol was registered in INPLASY under the number INPLASY202380106.

The efficacy of albumin-globulin ratio to predict prognosis in cancer patients

The goal of this systematic review was to identify all of the research within the last 10 years that investigated both the Albumin-Globulin Ratio (AGR) and outcomes of solid tumor cancer patients via quantitative prognostic variables. Multiple scientific databases were researched for journal articles that included keywords relating AGR to prognosis. Once isolated from the databases, the articles were de-duplicated and manually screened based on standardized inclusion/exclusion criteria in a blind format via Rayyan. The collective data were sorted by cancer type, corrected for population size, and used to calculate the average cut-off values for the most popular prognostic variables. In total, 18 independent types of cancer have been evaluated to see if AGR is a prognostic indicator based on multivariate analyses. The average cut-off value for AGR in overall survival was 1.356, while the average cut-off value for AGR in progression free survival was 1.292. AGR was found to be significantly associated with at least one prognostic variable in every type of cancer evaluated based on multivariate analyses. The ease of access and affordability of AGR makes it an invaluable tool applicable to nearly all patients. Overall, AGR is a proven prognostic variable that should always be considered in the evaluation of a solid tumor cancer patient's prognosis. Further research needs to be conducted studying the potential prognostic effect in more types of solid tumors.

Prognostic significance of albumin-to-globulin ratio in patients with renal cell carcinoma: a meta-analysis

Background

Whether the albumin-to-globulin ratio (AGR) predicts the prognosis of renal cell carcinoma (RCC) remains controversial. Herein, we performed a meta-analysis to critically evaluate the relationship between the AGR and RCC prognosis, as well as the association between the AGR and the clinicopathological characteristics of RCC.

Methods

The PubMed, Web of Science, Embase, and Cochrane Library databases were thoroughly and comprehensively searched from their inception until 24 June 2023. To determine the predictive significance of the AGR, hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were calculated from the pooled data. The relationship between the AGR and the clinicopathological features of RCC was evaluated by estimating odds ratios (ORs) and 95% CIs in subgroup analyses.

Results

The meta-analysis included nine articles involving 5,671 RCC cases. A low AGR significantly correlated with worse overall survival (OS) (HR = 1.82, 95% CI = 1.37-2.41, p <0.001) and progression-free survival (PFS) (HR = 2.44, 95% CI = 1.61-3.70, p <0.001). Analysis of the pooled data also revealed significant associations between a low AGR and the following: female sex (OR = 1.48, 95% CI = 1.31-1.67, p <0.001), pT stage T3-T4 (OR = 4.12, 95% CI = 2.93-5.79, p <0.001), pN stage N1 (OR = 3.99, 95% CI = 2.40-6.64, p <0.001), tumor necrosis (OR = 3.83, 95% CI = 2.23-6.59, p <0.001), and Fuhrman grade 3-4 (OR = 1.82, 95% CI = 1.34-2.42, p <0.001). The AGR was not related to histology (OR = 0.83, 95% CI = 0.60-1.15, p = 0.267).

Conclusion

In patients with RCC, a low AGR strongly predicted poor OS and PFS and significantly correlated with clinicopathological features indicative of disease progression.

Construction of the prognostic model for small-cell lung cancer based on inflammatory markers: A real-world study of 612 cases with eastern cooperative oncology group performance score 0-1

OBJECTIVES

This research aimed to explore the relationship between pre-treatment inflammatory markers and other clinical characteristics and the survival of small-cell lung cancer (SCLC) patients who received first-line platinum-based treatment and to construct nomograms for predicting overall survival (OS) and progression-free survival (PFS).

METHODS

A total of 612 patients diagnosed with SCLC between March 2008 and August 2021 were randomly divided into two cohorts: a training cohort (n = 459) and a validation cohort (n = 153). Inflammatory markers, clinicopathological factors, and follow-up information of patients were collected for each case. Cox regression was used to conduct univariate and multivariate analyses and the independent prognostic factors were adopted to develop the nomograms. Harrell's concordance index (C-index) and time-dependent receiver operating characteristic curve were used to verify model differentiation, calibration curve was used to verify consistency, and decision curve analysis was used to verify the clinical application value.

RESULTS

Our results showed that baseline C-reactive protein/albumin ratio, neutrophil/lymphocyte ratio, NSE level, hyponatremia, the efficacy of first-line chemotherapy, and stage were independent prognostic factors for both OS and PFS in SCLC. In the training cohort, the C-index of PFS and OS was 0.698 and 0.666, respectively. In the validation cohort, the C-index of PFS and OS was 0.727 and 0.747, respectively. The nomograms showed good predictability and high clinical value. Also, our new clinical models were superior to the US Veterans Administration Lung Study Group (VALG) staging for predicting the prognosis of SCLC.

CONCLUSIONS

The two prognostic nomograms of SCLC including inflammatory markers, VALG stage, and other clinicopathological factors had good predictive value and could individually assess the survival of patients.

Prognostic significance of albumin and globulin levels in cervical cancer patients treated with chemoradiotherapy

OBJECTIVE

Albumin-globulin ratio or albumin-globulin score predict survival in many cancers, but there are few data on cervical cancer patients. This study examined whether pre-treatment albumin and globulin levels, as well as the albumin-globulin ratio and albumin-globulin score, can predict treatment outcomes in cervical cancer patients undergoing definitive chemoradiotherapy.

METHODS

A retrospective analysis of cervical cancer patients treated between January 2006 and July 2014 was performed. Receiver operating characteristic curves for serum albumin and globulin levels, as well as albumin-globulin ratio values, were generated in order to determine the cut-off values for these parameters and to predict their sensitivity and specificity for predicting recurrence and survival. Univariate and multivariate analyses were used to identify prognostic factors for overall survival and progression-free survival.

RESULTS

A total of 139 patients were included. The median follow-up time was 11.5 years. The 5- and 10-year overall survival rates were 54.7% and 39.3%, while the 5- and 10-year progression-free survival rates were 48.9% and 36.4%, respectively. The optimal cut-off points were 3.79 g/dL for albumin, 3.27 g/dL for globulin, and 1.56 for albumin-globulin ratio. In the univariate analysis, significant prognostic factors for overall survival and progression-free survival were albumin-globulin ratio, albumin-globulin score, patient age, International Federation of Gynecology and Obstetrics (FIGO) stage, tumor size, lymph node metastasis, and treatment response. Older age, advanced stage, low albumin-globulin ratio, albumin-globulin score of 2, and inadequate treatment response had poor overall survival and progression-free survival in multivariable analysis. However, serum albumin and globulin levels were not found to be a significantly predictive factor for survival. There was a significant correlation between albumin levels, globulin levels, tumor size, stage, lymph node metastasis, and treatment response.

CONCLUSIONS

Pre-treatment albumin-globulin ratio and albumin-globulin score are useful prognostic factors in patients with cervical squamous cell cancer treated with definitive chemoradiotherapy, and may be suitable biomarkers for predicting treatment outcomes.

The Predictive Significance of Prognostic Nutritional Index and Serum Albumin/Globulin Ratio on the Overall Survival of Penile Cancer Patients Undergoing Penectomy

Objective: To assess the value of using the prognostic nutritional index (PNI) and serum albumin/globulin ratio (AGR) in predicting the overall survival (OS) of patients with penile cancer (PC) undergoing penectomy. Materials and methods: A retrospective analysis of 123 patients who were admitted to our hospital due to PC from April 2010 to September 2021 and who underwent penectomy were included in the study. The optimal cut-off value of the PNI and AGR was determined by receiver operating characteristic curve analysis. Kaplan-Meier analysis and the Cox proportional hazard model were used to evaluate the correlation between the PNI, AGR, and OS in patients with PC. Results: A total of 16 of the 123 patients died during the follow-up period, and the median follow-up time was 58.0 months. The best cut-off values of the PNI and AGR were set to 49.03 (95% confidence interval 0.705-0.888, Youden index = 0.517, sensitivity = 57.9%, specificity = 93.7%, p < 0.001) and 1.28 (95% confidence interval 0.610-0.860, Youden index = 0.404, sensitivity = 84.1%, specificity = 56.2%, p = 0.003). The Kaplan-Meier analysis showed that the OS of the patients in the high PNI group and the high AGR group was significantly higher than that of the patients in the low PNI group and the low AGR group (p < 0.001). The univariable analysis showed that the aCCI, the clinical N stage, the pathological stage, and the PNI, AGR, SII, and PLR are all predictors of OS in patients with PC (p < 0.05). The multivariable analysis showed that the PNI (risk rate [HR] = 0.091; 95% CI: 0.010-0.853; p = 0.036) and the AGR (risk rate [HR] = 0.171; 95% CI: 0.043-0.680; p = 0.012) are independent prognostic factors for predicting OS in patients with PC undergoing penectomy. Conclusions: Both the PNI score and the serum AGR are independent prognostic factors for predicting OS in patients with PC undergoing penectomy.

Malnutrition as a risk factor for post-operative morbidity in gynecologic cancer: Analysis using a national surgical outcomes database

OBJECTIVE

To assess, using a national surgical outcomes database, the association of various malnutrition definitions with post-operative morbidity in three gynecologic malignancies.

METHODS

Patients undergoing resection of ovarian, uterine, or cervical cancer between 2005 and 2019 were identified using the National Surgical Quality Improvement Program (NSQIP) database. Patients were classified based on specific, pre-defined malnutrition criteria: severe malnutrition (Body Mass Index (BMI) <18.5 + 10% weight loss), European Society for Clinical Nutrition and Metabolism ((ESPEN1); BMI 18.5-22 + 10% weight loss), ESPEN2 (BMI < 18.5), American Cancer Society ((ACS); normal/overweight BMI + 10% weight loss), mild malnutrition (BMI 18.5-22), or albumin (<3.5 g/dL). Outcomes included 30-day major complications, readmission, reoperation. Modified Poisson regression estimated associations between definitions and outcomes.

RESULTS

Of 76,290 total patients undergoing surgery, those meeting malnutrition definitions were: severe-98 (0.1%), ESPEN1-148 (0.2%), ESPEN2-877 (1.1%), ACS-1028 (1.3%), mild-2853 (3.7%), and albumin (11.1%). Complication rates were: unplanned readmission-5.5%, reoperation-1.7%, major complications-13.5%. For ovarian cancer, ESPEN2 malnutrition was associated with higher readmissions (risk ratio 1.69; 95% confidence interval 1.29-2.20), reoperations (2.53; 1.70-3.77), and complications (1.36; 1.20-1.54). For uterine cancer, ACS malnutrition was associated with readmissions (2.74; 2.09-3.59), reoperations (3.61; 2.29-5.71) and complications (3.92; 3.40-4.53). For cervical cancer, albumin<3.5 g/dL was associated with readmissions (1.48; 1.01-2.19), reoperations (2.25; 1.17-4.34), and complications (2.59; 2.11-3.17). Albumin<3.5 was associated with adverse outcomes in ovarian and uterine cancer.

CONCLUSIONS

Preoperative risk assessments might be tailored using cancer-specific malnutrition criteria. Major complications, readmissions, and reoperations are all associated with the ESPEN2 definition for ovarian cancer, the ACS definition for uterine cancer, and with albumin<3.5 for all cancers.

The prognostic nutritional index predicts the biochemical recurrence of patients treated with robot-assisted laparoscopic radical prostatectomy

OBJECTIVE

To evaluate the prognostic nutritional index (PNI) in predicting the biochemical recurrence (BCR) of patients treated with robot-assisted laparoscopic radical prostatectomy (RALP).

METHODS

The clinical data of 136 patients treated with RALP in the Department of Urology, The Third Xiangya Hospital of Central South University were retrospectively analyzed. The endpoint of observation was BCR. The area under the receiver operating characteristic (ROC) curve was evaluated to determine the optimal cutoff value of PNI. The correlation of the PNI with BCR was estimated using Kaplan-Meier analysis and Cox proportional hazards model.

RESULTS

The optimal cutoff value of the PNI was 46.03 according to the ROC curve. (95% confidence interval: 0.604-0.805, Youden index = 0.401, sensitivity = 82.5%, specificity = 57.6%, p < 0.01). Multivariate Cox analysis showed that clinical staging, prostate-specific antigen, and PNI were independent prognostic factors for predicting BCR in patients treated with RALP.

CONCLUSION

PNI is an independent prognostic factor for predicting BCR in patients treated with RALP. The incorporation of the PNI into risk assessments may provide additional prognostic information.