Combination of the preoperative albumin to globulin ratio and neutrophil to lymphocyte ratio as a novel prognostic factor in patients with triple negative breast cancer

Harnessing hematological ratios: prognostic insights for breast cancer management

BACKGROUND

Breast cancer is one of the most lethal diseases affecting women globally. Its progression is influenced by various factors, including the immune system's ability to combat cancer cells. While hematological indices have been recognized as valuable biomarkers for monitoring patients with different types of neoplasms, there remains a considerable gap in research concerning their application in breast cancer.

MATERIAL AND METHODS

To address this, we conducted a systematic review of studies examining hematological indices as prognostic predictors in breast cancer patients.

RESULTS

The majority of studies demonstrate a significant correlation between these indices and survival outcomes, underscoring their potential utility in patient monitoring.

CONCLUSIONS

Hematological-based indexes can be valuable tools for monitoring breast cancer, especially those ongoing poor prognosis scenarios.

L-shaped association between the ratio of serum albumin to globulin and the risk of all-cause mortality among adults with kidney stones: a national cohort study

Background

Kidney stones are a common urological disease with rising global prevalence and are influenced by immune, metabolic, and nutritional factors. The ratio of serum albumin to globulin, a marker of inflammation and nutritional status, has been linked to various inflammatory and chronic conditions, but its role in kidney stone risk and outcomes remains unclear. We aimed to determine the association between ratio of serum albumin to globulin and risk of kidney stones, as well as the impact of ratio of serum albumin to globulin on all-cause mortality in participants with kidney stones.

Methods

Multivariable logistic regression was used to explore the association between ratio of serum albumin to globulin and the risk of kidney stones. Multivariate Cox regression and restricted cubic spline (RCS) were performed to clarify the relationship between ratio of serum albumin to globulin and the risk of all-cause mortality.

Results

Among 31,091 study participants, 2,955 (9.5%) individuals had kidney stones. Multivariable logistic models demonstrated that each standard deviation (SD) increase in the ratio of serum albumin to globulin (SD =0.30) was associated with a 6% reduction in kidney stone risk. A total of 387 (13.1%) participants with kidney stones died for any reasons during a median follow-up of 6.2 years. The multivariable Cox model showed a significantly lower risk of all-cause mortality in the quartile (Q)2, Q3, and Q4 groups as compared to Q1 [Q2: adjusted hazard ratio (aHR) =0.84, 95% confidence interval (CI): 0.63-1.11; Q3: aHR =0.65, 95% CI: 0.48-0.86; Q4: aHR =0.63, 95% CI: 0.46-0.86; P for trend =0.04].

Conclusions

A lower ratio of serum albumin to globulin was associated with an increased risk of kidney stones. Additionally, our study showed that at a cutoff point of 1.5, the association between ratio of serum albumin to globulin and all-cause mortality in participants with kidney stones was nonlinear L-shaped. However, due to the observational nature of the study, our study results should be interpreted with caution.

Predicting extensive metastasis in postoperative oligometastatic colorectal cancer

PURPOSE

Oligometastatic colorectal cancer (OMCRC) patients can achieve long-term disease control with multidisciplinary treatment. However, the development of extensive metastasis worsens prognosis and restricts treatment options. This study aims to develop a predictive model for extensive metastasis in OMCRC to assist in clinical decision-making.

METHODS

Clinical and pathological data for OMCRC patients were collected from the Second Affiliated Hospital of Soochow University. Patients were randomly divided into training and testing cohorts. Risk factors for extensive metastasis were identified through LASSO regression analysis and COX regression analysis. Three predictive models were developed in the training cohort and validated in the testing cohort: COX regression analysis, Extreme Gradient Boosting (XGBoost), and Survival Support Vector Machine (SurvSVM). Finally, the optimal model was visualized with the nomogram.

RESULTS

A total of 214 patients with OMCRC were enrolled in the study. Four independent risk factors were identified: whether surgery has been undertaken following oligometastasis (WST), histological type (HT), carcinoembryonic antigen at the last follow-up (CAE at last-FU), and preoperative albumin to globulin ratio (Preop-AGR). In the testing cohort, the COX model (1-year AUC = 0.82, 3-year AUC = 0.72, 5-year AUC = 0.85, mean AUC = 0.80) performed best. Decision curve analysis (DCA) confirmed the net benefit of the Cox model, and the nomogram provided accurate predictions of metastasis risk.

CONCLUSION

CAE at last-FU, Preop-AGR, HT, and WST are independent risk factors for extensive metastasis in OMCRC. The nomogram model incorporating risk factors can assist clinicians in developing optimal treatment for OMCRC patients.

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 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.

Albumin-to-Globulin Ratio Combined with Neutrophil-to-Lymphocyte Ratio as a Prognostic Predictor in Multiple Myeloma with Renal Impairment

Background

The albumin-to-globulin ratio (AGR) and neutrophil-to-lymphocyte ratio (NLR) have been recently regarded as promising prognostic factors in various malignancies. The present study investigated the prognostic value of combining the AGR and NLR (ANS) for risk assessments in multiple myeloma (MM) with renal impairment (RI).

Methods

From 2011 to 2018, 79 patients with MM and RI were enrolled in this study. Receiver operating curves (ROCs) were constructed to determine optimal AGR and NLR thresholds for predicting overall survival (OS) and progression-free survival (PFS) during follow up. The prognostic values of AGR, NLR, and ANS were evaluated with Cox regression and Kaplan-Meier methods. We also created a predictive nomogram for prognostic evaluations of OS and PFS, and the predictive accuracy was assessed with a concordance index (c-index).

Results

The ROC curves analyses showed that the optimal cut-off levels were 2.27 for NLR and 1.57 for AGR. A high NLR and a high ANS were significantly associated with worse OS and PFS. However, a high NLR combined with a low AGR was associated with worse OS. Multivariate analyses demonstrated that both the NLR and ANS were independent predictors for both OS and PFS and that a low AGR was an independent predictor of a reduced OS. The nomogram accurately predicted OS (c-index: 0.785) and PFS (c-index: 0.786) in patients with MM and RI.

Conclusion

ANS may serve as a potential prognostic biomarker in patients with MM and RI. The proposed nomograms may facilitate prognostic predictions for patients with MM and RI.

Correlation of Neutrophil-Lymphocyte and Albumin-Globulin Ratios With Outcomes in Patients With Breast Cancer Undergoing Neoadjuvant Chemotherapy or Upfront Surgery

PURPOSE

Higher neutrophil-lymphocyte ratio (NLRs) indicate a pro-inflammatory state and are associated with poor survival. Conversely, higher albumin-globulin ratio (AGRs) may be associated with improved prognosis. We aimed to investigate the association between NLR and AGR and prognosis and survival in patients with breast cancer.

METHODS

This retrospective study included all patients with stage I-III breast cancer between 2011 and 2017 in Singapore General Hospital and National Cancer Center Singapore. Multivariate logistic regression analysis of NLR, AGR, age, stage, grade, and subtype was performed. Survival data between groups were compared using Cox regression analysis and log-rank tests.

RESULTS

A total of 1,188 patients were included, of whom 323 received neoadjuvant chemotherapy (NACT) and 865 underwent upfront surgery. In patients who underwent NACT, a higher AGR was significantly associated with a higher pCR rate (cut-off > 1.28; odds ratio [OR], 2.03; 95% confidence interval [CI], 1.13-3.74; p = 0.020), better DFS (cut off > 1.55; hazard ratio [HR], 0.37; 95% CI, 0.16-0.85; p = 0.019), and better CSS (cut off > 1.46; HR, 0.39; 95% CI, 0.17-0.92; p = 0.031). Higher NLR was significantly associated with worse DFS (cut off > 4.09; HR, 1.77; 95% CI, 1.07-2.91; p = 0.026) and worse CSS (cut off > 4.09; HR, 1.98; 95% CI, 1.11-3.53; p = 0.021). In patients who underwent upfront surgery, higher AGR correlated with significantly better OS (cut off > 1.17; HR, 0.54; 95% CI, 0.36-0.82; p = 0.004) and higher NLR correlated with worse OS (cut off > 2.38; HR, 1.63; 95% CI, 1.09-2.44; p = 0.018).

CONCLUSION

NLR and AGR are useful in predicting the response to NACT as well as prognosis of patients with breast cancer. Further studies are needed to explore their value in clinical decision making.

Predictive Significance of Systemic Immune-Inflammation Index in Patients with Breast Cancer: A Retrospective Cohort Study

Background

Peripheral blood inflammation indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), have become research hotspots in the diagnosis, treatment, and prognosis prediction of breast cancer, whereas existing research findings remain controversial.

Methods

Data pertaining to 1808 breast cancer patients were collected retrospectively to analyze the predictive value of NLR/PLR/SII for breast cancer clinicopathological characteristics, chemotherapy response, and relapse. 1489, 258, and 53 eligible breast cancer patients entered into the three analyses, respectively. Logistic regression analyses were used to assess the correlation between these indices and poor response to chemotherapy. A predictive scoring model was established to predict chemotherapeutic responses based upon the odds ratio values of significant variables identified in logistic regression analyses.

Results

Higher pretherapeutic NLR/PLR/SII values were significantly correlated with higher tumor stage, triple-negative breast cancer, premenopausal status, and younger age. Logistic regression analyses indicated that pretherapeutic high SII (as a continuous variable or with a cut-off value of 586.40) and HER2-negative status were independent predictors of poor response to neoadjuvant chemotherapy. A first-in-class SII-based predictive scoring model well distinguished patients who might not benefit from neoadjuvant chemotherapy, with an area under the curve of 0.751. In HR-positive cancers, SII was more strongly associated with clinicopathological features and chemotherapy response. In addition, a receiver operating characteristic curve analysis indicated that the specificity of follow-up SII in identifying cancer relapse was greater than 98.0% at a cut-off value of 900.

Conclusion

As a predictor of breast cancer, especially in the HR-positive subtype, SII may eclipse NLR/PLR. SII-high patients are more likely to have a worse chemotherapy response and a higher risk of recurrence.

Preoperative albumin-to-globulin ratio and prognostic nutritional index predict the prognosis of colorectal cancer: a retrospective study

The immunonutritional status has important effects on outcomes for cancer patients. Albumin-to-globulin ratio (AGR) and the prognostic nutrition index (PNI) are often used to assess the immunonutritional status of cancer patients. However, the clinical significance of these factors in colorectal cancer (CRC) remains unclear. We aimed to evaluate the clinical significance of the AGR and PNI in CRC. We reviewed the clinical data of 511 patients with CRC in two hospitals. Data from one institution was used as the training cohort. The optimal cutoff values for AGR and PNI in the training cohort were 1.4 and 48.65, respectively. Patients in both the low AGR and low PNI groups had poor overall survival (OS) and progression-free survival (PFS), while those in the low AGR-low PNI group had the lowest OS and PFS. Multivariate analysis revealed that preoperative AGR, preoperative PNI, gross type, and TNM stage were independent prognostic factors influencing OS in patients with CRC. Preoperative AGR, preoperative PNI, and TNM stage were independently associated with PFS in patients with CRC. According to the results of multivariate analysis in the training cohort, we developed the nomograms for OS and PFS and performed internal and external validation, which showed good prediction ability of the nomograms. In conclusion, preoperative AGR and PNI can be used as effective indicators to predict survival for patients with CRC. AGR and PNI may help develop effective adjuvant-therapy schedules.

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.

Simple and easily accessible prognostic markers in ewing sarcoma; neutrophil-lymphocyte ratio, neutrophil-platelet score and systemic-inflammation index

Background

Inflammation markers are the new point of view in cancer due to increasing data on the interaction of immune system with tumor cells and their prognostic and predictive importance were found in many different types of solid tumors. Therefore, we aimed to evaluate the prognostic value of neutrophil-lymphocyte ratio (NLR), neutrophil-platelet score (NPS), and systemic inflammation index (SII) in Ewing sarcoma patients in which risk groups are still not clearly defined.

Methods and Results

A total of 64 patients were evaluated retrospectively. Receiver operating characteristic analysis was performed to find cut-off values for NLR and SII. Survival analysis was calculated by using Kaplan-Meier method. Cox regression analysis was performed to determine prognostic factors such as age, stage, and neoadjuvant chemotherapy were statistically significant prognostic factors for OS in multivariate analysis. While patients with low NLR and SII had longer OS (P = 0.003 and P = 0.018), patients with high NPS score had shorter OS (67.7 vs 21.7 months, P = 0.001).

Conclusion

Patients with lower NLR, NPS, and SII score have a better prognosis compared with those with higher NLR, NPS, and SII score and these simple parameters may be monitoring tools of the tumor microenvironment.

Neutrophil to lymphocyte ratio and principal component analysis offer prognostic advantage for dogs with mammary tumors

Introduction

In veterinary medicine, cancer is the leading cause of death in companion animals, and mammary gland tumors represent the most common neoplasm in female dogs. Several epidemiological risk factors, such as age, breed, hormones, diet, and obesity have been reported to be relevant for canine mammary tumors. Nowadays, the gold standard for diagnosis of canine mammary tumors is the pathological examination of the suspected tissue. However, tumor grade can only be assessed after surgical removal or biopsy of the altered tissue. Therefore, in cases of tumors that could be surgically removed, it would be very helpful to be able to predict the biological behavior of the tumor, before performing any surgery. Since, inflammation constitutes part of the tumor microenvironment and it influences each step of tumorigenesis, cellular and biochemical blood markers of systemic inflammation, such as the neutrophil to lymphocyte ratio (NLR) and the albumin to globulin ratio (AGR) have been proposed as prognostic factors for human cancer development. The NLR and the AGR have not been explored enough as prognostic factors for cancer development in veterinary medicine.

Methods

To determine the prognostic value of NLR in canine mammary tumors, clinical records including biochemistry and hematological studies of female dogs with mammary tumors and of control healthy dogs, were used to determine the pre-treatment NLR and AGR. Other clinical data included age, breed, tumor size, histological tumor grade, and survival time after surgery.

Results and discussion

It was found that a higher pre-treatment NLR value (NLR > 5) associates with less survival rate. In contrast, the AGR did not show any predictive value on the malignancy of the tumor. However, by combining the NLR with AGR, age of the dog, and tumor size in a principal component analysis (PCA), the grade of the tumor and survival after surgery could be appropriately predicted. These data strongly suggest that pre-treatment NLR values have a prognostic value for the survival rate after surgery of dogs with mammary tumors.

Preoperative peripheral blood inflammatory markers especially the fibrinogen-to-lymphocyte ratio and novel FLR-N score predict the prognosis of patients with early-stage resectable extrahepatic cholangiocarcinoma

Background

Systemic inflammation is important in the development of extrahepatic cholangiocarcinoma (ECC). The aim of this study was to compare the prognostic power of preoperative peripheral blood inflammatory markers and the novel FLR-N score in patients with resectable ECC.

Methods

A total of 140 patients with resectable ECC and 140 healthy controls (HCs) were recruited for the study. The Mann−Whitney U test was used to evaluate the differences in inflammatory markers between groups. Kaplan−Meier and Cox regression analyses were used to evaluate the prognostic power of preoperative fibrinogen, albumin, prealbumin, bilirubin, neutrophils, lymphocytes, monocytes, platelets, fibrinogen-to-lymphocyte ratio (FLR), fibrinogen-to-albumin ratio (FAR), fibrinogen-to-prealbumin ratio (FPR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), FLR-neutrophil (FLR-N) score, and CA19-9 in patients with resectable ECC. Nomogram was developed based on the results of multivariate Cox analyses.

Results

Patients with resectable ECC had significantly higher levels of neutrophils, monocytes, fibrinogen, FLR, FAR, FPR, NLR, PLR, and MLR and lower levels of lymphocytes, albumin, and prealbumin than HCs (all P < 0.01). Albumin, prealbumin, and FPR had a good ability to distinguish between ECC patients with total bilirubin < 34 µmol/L and HCs (AUCs of 0.820, 0.827, and 0.836, respectively). Kaplan−Meier analysis showed that high neutrophil, fibrinogen, FLR, FAR, PLR, MLR, and FLR-N score values were associated with poor survival in patients with resectable ECC. Multivariate analyses indicated that neutrophils (P = 0.022), FLR (P = 0.040), FLR-N score (P < 0.0001), and positive lymph node metastasis (P = 0.016) were independent factors for overall survival (OS). Nomogram were developed to predict OS for patients with ECC.

Conclusion

The prognostic roles of inflammatory markers in patients with resectable ECC were different. The preoperative neutrophil count, FLR and FLR-N score could serve as noninvasive markers for predicting the prognosis of resectable ECC.

Risk Factors and the Role of the Albumin-to-Globulin Ratio in Predicting Recurrence Among Patients with Idiopathic Granulomatous Mastitis

Background

Idiopathic granulomatous mastitis (IGM) is a rare inflammatory disease of the breast with a high recurrence rate. The serum albumin to globulin ratio (AGR) is a relatively novel biomarker in inflammatory diseases, and one whose role in the recurrence of IGM remains unknown. This study primarily investigated the potential risk factors for IGM recurrence and whether AGR can be used as a predictive factor.

Methods

Patients diagnosed with IGM from pathology reports between 2016 and 2021 were enrolled in the study, and their medical records were analyzed retrospectively. The patients were divided into two groups – recurrence and non-recurrence. Clinical, demographic characteristics, and laboratory parameters were compared.

Results

Eighty-five patients were included in the study, recurrence being detected in 16 (18.8%) of these, with a median follow-up time of 39.99±18.93 months. No relationship was determined between childbearing, breastfeeding, disease severity, or therapeutic approaches and IGM recurrence. While AGR was significantly lower in the recurrence group (p < 0.001), neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) results were comparable in the two groups (p = 0.472 and p = 0.421, respectively). Multivariate analysis identified low AGR (odds ratio (OR): 50.7, 95% CI 5.93–434.1 P < 0.001) and smoking (OR: 4.45, 95% CI 1.04–18.9 P = 0.044) as independent risk factors for IGM recurrence.

Conclusion

The study findings indicated that AGR at a cut-off value of ≤1.179 at diagnosis and smoking exhibited a remarkable performance in predicting the recurrence of IGM. Developing new risk stratification systems for IGM recurrences and using AGR in these classifications may increase the success of treatment.

Trial Registration

This study was registered with ClinicalTrials.gov, NCT05409586.

A New Online Dynamic Nomogram: Construction and Validation of an Assistant Decision-Making Model for Laryngeal Squamous Cell Carcinoma

Background

Laryngeal squamous cell carcinoma (LSCC) is the most common type of head and neck squamous cell carcinoma. However, there are currently no reliable biomarkers for the diagnosis and prognosis of LSCC. Thus, this study aimed to identify the independent risk factors and develop and validate a new dynamic web-based nomogram that can predict auxiliary laryngeal carcinogenesis.

Methods

Data on the medical history of 221 patients who were recently diagnosed with LSCC and 359 who were recently diagnosed with benign laryngeal lesions (BLLs) at the First Affiliated Hospital of Anhui Medical University were retrospectively reviewed. Using the bootstrap method, 580 patients were divided in a 7:3 ratio into a training cohort (LSCC, 158 patients; BLL, 250 patients) and an internal validation cohort (LSCC, 63 patients; BLL, 109 patients). In addition, a retrospective analysis of 31 patients with LSCC and 54 patients with BLL from Fuyang Hospital affiliated with Anhui Medical University was performed as an external validation cohort. In the training cohort, the relevant indices were initially screened using univariate analysis. Then, least absolute shrinkage and selection operator logistic analysis was used to evaluate the significant potential independent risk factors (P<0.05); a dynamic online diagnostic nomogram, whose discrimination was evaluated using the area under the ROC curve (AUC), was constructed, while the consistency was evaluated using calibration plots. Its clinical application was evaluated by performing a decision curve analysis (DCA) and validated by internal validation of the training set and external validation of the validation set.

Results

Five independent risk factors, sex (odds ratio [OR]: 6.779, P<0.001), age (OR: 9.257, P<0.001), smoking (OR: 2.321, P=0.005), red blood cell width distribution (OR: 2.698, P=0.001), albumin (OR: 0.487, P=0.012), were screened from the results of the multivariate logistic analysis of the training cohort and included in the LSCC diagnostic nomogram. The nomogram predicted LSCC with AUC values of 0.894 in the training cohort, 0.907 in the internal testing cohort, and 0.966 in the external validation cohort. The calibration curve also proved that the nomogram predicted outcomes were close to the ideal curve, the predicted outcomes were consistent with the real outcomes, and the DCA curve showed that all patients could benefit. This finding was also confirmed in the validation cohort.

Conclusion

An online nomogram for LSCC was constructed with good predictive performance, which can be used as a practical approach for the personalized early screening and auxiliary diagnosis of the potential risk factors and assist physicians in making a personalized diagnosis and treatment for patients.

Predictive Values of the Selected Inflammatory Indexes in Colon Cancer

Purpose

Ample evidence has revealed that the lymphocyte-to-monocyte ratio (LMR), albumin-to-globulin ratio (AGR), and mean platelet volume (MPV) are cancer-related inflammatory markers. The present study aimed to combine these indicators to better assess the progression of colon cancer.

Methods

This retrospective study enrolled 251 patients with colon cancer, 171 patients with benign colon diseases, and 187 healthy control subjects. The receiver operating characteristic curve and area under the curve (AUC) were used to determine the diagnostic values of the selected inflammatory index.

Results

The levels of LMR, AGR, and MPV were decreased in the colon cancer group compared with the healthy control and benign colon disease groups. The LMR, AGR, and MPV were all correlated with tumor size. Moreover, LMR and AGR was associated with lymph node metastasis and clinical stage, AGR was related to distant metastasis. Both the LMR (P = .030) and AGR (P = .005) were negatively correlated with the concentration of carcinoembryonic antigen (CEA). The AUC value of MPV combined with CEA had a good diagnostic ability for distinguishing colon cancer cases (AUC = .950) and patients with benign colon diseases (AUC = .886) from controls. Meanwhile, the combination of LMR or AGR with CEA could enhance larger AUC (.746 for LMR + CEA, .737 for AGR + CEA) than CEA, LMR, or AGR alone in detecting colon cancer from benign colon diseases.

Conclusions

CEA combined with the LMR, AGR, or MPV may be used as better blood-based biomarkers in the progression of colon cancer patients.

The association between albumin-globulin ratio (AGR) and survival in patients treated with immune checkpoint inhibitors

BACKGROUND

The albumin-globulin ratio (AGR) could be a prognostic biomarker in patients with cancer, although the data is limited in patients treated with immune-checkpoint inhibitors (ICIs).

OBJECTIVES

We aimed to evaluate the association between AGR and survival in ICI-treated patients.

METHODS

The data of 212 advanced-stage patients were retrospectively evaluated in this cohort study. The association between AGR with overall (OS) and progression-free survival (PFS) were evaluated with multivariate analyses. Additionally, receptor operating curve (ROC) analysis was conducted to assess the AGR's predictive power in the very early progression (progression within two months) and long-term benefit (more than twelve months survival).

RESULTS

The median AGR was calculated as 1.21, and patients were classified into AGR-low and high subgroups according to the median. In the multivariate analyses, patients with lower AGR (< 1.21) had decreased OS (HR: 1.530, 95% CI: 1.100-2.127, p= 0.011) and PFS (HR: 1.390, 95% CI: 1.020-1.895, p= 0.037). The area under curve of AGR to detect early progression and long-term benefit were 0.654 (95% CI: 0.562-0.747, p= 0.001) and 0.671 (95% CI: 0.598-0.744, p< 0.001), respectively.

CONCLUSIONS

In our experience, survival with ICIs was impaired in patients with lower AGR. Additionally, the AGR values could detect the very early progression and long-term benefit ICIs.

Neutrophil-to-lymphocyte ratio is an independent prognostic marker for feline mammary carcinomas

Blood leukocyte counts and respective derived ratios have been described as potential prognostic markers in several tumours in veterinary oncology. This study aimed to evaluate peripheral blood leukocyte subpopulations and neutrophil-to-lymphocyte ratio (NLR) as prognostic factors for feline mammary carcinomas (FMC). Medical records from cats diagnosed with FMC between 2017 to 2019 were reviewed. Cats were included if fully staged, classified as WHO stage I to III, and submitted to mastectomy. Cats were excluded if they had evidence of other diseases. Forty-nine cats were included. The study endpoints were disease-free interval (DFI) and tumour-specific survival (TSS). The median DFI and TSS were 389 days and 528 days respectively. In the univariate analysis, higher values of total white blood cell count (WBC), neutrophil count (NEU) and NLR were identified as significant prognostic factors for both endpoints (P < .05). On the multivariate analysis, NLR remained an independent prognostic factor for TSS (P = .024). In the receiver operating characteristic curve analysis, the estimated cut-off for WBC was 8.49 × 10⁹ /L (DFI and TSS); for NEU was 4.62 × 10⁹ /L (DFI) and 6.65 × 10⁹ /L (TSS) and for NLR was 2.46. These cut-offs were significant prognostic factors for DFI and TSS (P < .05). NLR cut-off remained an independent prognostic factor for both DFI (P = .032) and TSS (P = .043) in the multivariable analysis. Our results suggest that NLR, NEU, and WBC can be important non-invasive presurgical prognostic markers, and that NLR is an independent prognostic marker for FMC. Prospective studies are warranted to validate its clinical use.

Prognostic value of the albumin-globulin ratio and albumin-globulin score in patients with multiple myeloma

OBJECTIVE

The albumin-globulin ratio (AGR) has been identified as a promising prognostic predictor of mortality in patients with hematological malignancies. This study investigated the prognostic significance of AGR in patients with multiple myeloma.

METHODS

Two hundred patients diagnosed with multiple myeloma from January 2010 to October 2018 were retrospectively analyzed and followed up until December 2019. Kaplan-Meier curves and multivariate Cox regression analysis were applied to detect the prognostic value of AGR.

RESULTS

The median follow-up period was 36 months. The optimal cutoff of AGR was 1.16 according to receiver operating characteristic curve analysis. High AGR was significantly correlated with better overall survival (OS) and progression-free survival (PFS). Multivariate analysis revealed that low AGR was an independent prognostic factor for worse OS (hazard ratio [HR] = 1.82, 95% confidence interval [CI] = 1.15-2.94) and PFS (HR = 1.53, 95% CI = 1.09-2.17).

CONCLUSIONS

AGR may represent a potential prognostic biomarker in patients with multiple myeloma.Mini Abstract: We demonstrated that high AGR was associated with a favorable overall survival and progression-free survival in patients with multiple myeloma.

Dynamic biomarkers indicate the immunological benefits provided by Ganoderma spore powder in post-operative breast and lung cancer patients

BACKGROUND

T lymphocyte are a strong indicator of treatment immune response. This study was aimed to determine the utility of T lymphocyte subsets, cytokines and inflammatory biomarkers in predicting the immunological benefits of Ganoderma spore powder (G. lucidum) in post-operative patients with breast and lung cancer.

METHODS

We prospectively evaluated 120 breast and lung cancer patients with or without G. lucidum. T lymphocyte subsets with relative cytokines were detected using flow cytometry and PCR and assessed by Spearman correlation analysis. The relationships between albumin-to-globulin ratio (AGR) and neutrophil-to-lymphocyte ratio (NLR) with G. lucidum treatment and prognosis were analyzed using Kaplan-Meier and Cox regression methods.

RESULTS

The prevalence of CD3 + CD4 + , CD3 + HLADR- types was higher in G. lucidum group compared to control, whilst CD4 + CD25 + Treg, CD3 + HLADR + cell types was lower. IL-12 levels were significantly higher during the treatment period which negatively impacted levels of IL-10. Other immunosuppressive factors such as COX2 and TGF-β1 had lower prevalence in treated patients. Correlation analysis showed a positive relationship between IL-10 and CD28. IL-2 was positively related to TGF-β1, whilst it was negatively related to CD3. Kaplan-Meier analysis suggested that low AGR/high NLR was related to poor progression free survival (PFS) and overall survival (OS). A combination of high AGR and low NLR may predicted treatment benefits associated with PFS and OS.

CONCLUSIONS

Our findings show that T lymphocyte subsets combined with relevant cytokines and AGR/NLR inflammatory predictors may help to identify patients most likely to benefit from the immunological enhancements from G. lucidum treatment.

A Rosetta Stone for Breast Cancer: Prognostic Value and Dynamic Regulation of Neutrophil in Tumor Microenvironment

Increasing evidence has revealed that the initiation and progression of breast cancer are greatly affected by the immune environment. Neutrophils are the most abundant leucocytes in circulation and act as the spearhead in inflammation, including in breast cancer. Circulating neutrophils are closely related to the prognosis of breast cancer patients, and tumor-infiltrating neutrophils have varied functions at different stages of breast cancer, such as antitumor or tumor-promoting neutrophils, which are termed N1 and N2 neutrophils, respectively. In this review, we will discuss the utility of circulating neutrophils for predicting prognosis and therapeutic efficacy and the underlying mechanisms of their chemotaxis, the dynamic regulation of their antitumor or protumor functions and their different spatial distributions in tumor microenvironment. Finally, we also discuss the possibility of targeting neutrophils as a therapeutic strategy in breast cancer.

Preoperative positive urine nitrite and albumin-globulin ratio are independent risk factors for predicting postoperative fever after retrograde Intrarenal surgery based on a retrospective cohort

Background

To determine risk factors for postoperative fever (POF) after retrograding intrarenal surgery (RIRS) and a nomogram for prediction of POF in patients undertaking RIRS has been developed based on the risk factors found.

Methods

This is a retrospective designed-study. A continuous cohort from a single-center database that consisted of 1095 cases undertaking RIRS with complete preoperative medical records from January 2009 to December 2018 was obtained. Independent risk factors were identified according to the multi-variate logistics regression and a further nomogram was developed. The performance of the nomogram was evaluated through three aspects including net clinical benefit, calibration, and discrimination.

Results

A total of 31(2.8%) cases had POF after the RIRS. Risk factors included time in RIRS ≥30mins (only the flexible scope use period) (OR: 2.16, 95%CI; 1.01–4.62, P = 0.047), preoperative positive urine culture (OR: 2.55, 95%CI; 1.01–6.42, P = 0.047), preoperative positive urine nitrite (OR: 9.09, 95%CI; 2.99–27.64, P < 0.001), Albumin/globulin ratio (AGR) (OR: 0.14, 95%CI; 0.03–0.74, P = 0.020) were further included in the nomogram to predict the POF probability for individuals. The Hosmer-Lemeshow test showed a goodness-of-fit. The calibration curve demonstrated good agreement between observation and prediction. Decision curve analysis (DCA) demonstrated it was clinical use in RIRS.

Conclusions

The preoperative urine nitrite, AGR, RIRS time, and preoperative urine culture are found to be independent risk factors associated with POF after RIRS. Then we have developed a nomogram taking these factors into account that accurately predicted POF after RIRS.

Prognostic Value of Clinical Biochemistry-Based Indexes in Nasopharyngeal Carcinoma

Inflammation and nutritional status have significant effects on the prognosis of cancer patients. This study investigated the predictive value of clinical biochemistry-based indexes in nasopharyngeal carcinoma (NPC). This retrospective study included 559 NPC patients and 500 patients with chronic rhinitis. Continuous variables were measured by t-test. The area under curves (AUC) was used to determine the diagnostic and prognostic value for NPC. Kaplan-Meier methods and the log-rank test were used to analyze overall survival (OS) and disease-free survival (DFS) of the patients. Cox and logistic regression analysis were used to analyze the independent prognostic risk factors for survival and influencing factors of side effects after treatment, respectively. The study results revealed that most indexes of NPC and rhinitis were significantly different between the two groups. In the survival analysis, the systemic inflammation score (SIS), prognostic nutritional index (PNI), albumin/globulin ratio (AGR), albumin (ALB), urea nitrogen (BUN) and creatinine (CREA) had significant influence on the OS and DFS. AGR was the optimal prognostic indicator for NPC. Among these indexes, SIS, AGR, BUN and CERA were independent prognostic factors of OS, AGR and PNI were independent prognostic factors of DFS. Most indexes were risk factors of side effects occurred in radiotherapy. In conclusion, the clinical biochemistry-based indexes, are reliable and of low-cost, therefore, they can be used in predicting diagnosis, prognosis and treatment plans of NPC.

Prognostic impact of preoperative immunonutritional status in rectal mucinous adenocarcinoma

Aim: To explore the impact of preoperative the albumin-to-globulin ratio (AGR) and the prognostic nutritional index (PNI) on prognosis in rectal mucinous adenocarcinoma (MAC). Methods: A total of 128 patients were included. Results: According to the X-tile analysis, cutoff values of AGR and PNI were 1.1 and 43.8. Preoperative AGR (p = 0.041), preoperative PNI (p = 0.036) and pTNM stage (p = 0.003) were independently associated with overall survival in rectal MAC patients. Distance from the anal verge (p = 0.005), preoperative AGR (p = 0.021), preoperative PNI (p = 0.007) and pTNM stage (p < 0.001) were significantly associated with disease-free survival in rectal MAC patients. Nomograms for overall survival and disease-free survival were developed (C-index: 0.739 and 0.764). Conclusion: Preoperative AGR and PNI can act as effective predictors for survival for rectal MAC patients.

Development and Validation of Nomograms for Predicting the Prognosis of Triple-Negative Breast Cancer Patients Based on 379 Chinese Patients

PURPOSE

We aimed to construct universally applicable nomograms incorporating prognostic factors to predict the prognosis of patients with triple-negative breast cancer (TNBC).

PATIENTS AND METHODS

Clinicopathological data of 379 patients with TNBC from March 2008 to June 2014 were retrospectively collected and analyzed. The endpoints were disease-free survival (DFS) and overall survival (OS). Patients were randomly divided into a training group and an independent validation group. In the training group, the prognostic factors were screened to develop nomograms. C-index and calibration curves were used to evaluate the predictive accuracy and discriminative ability of nomograms in both groups. The accuracy of the nomograms was also compared with the traditional American Joint Committee on Cancer Tumor-Node-Metastasis anatomical stage (8th edition).

RESULTS

Four prognostic factors (albumin-to-globulin ratio, neutrophil-to-lymphocyte ratio, positive lymph nodes, and tumor size) were used to construct the nomogram of DFS. In addition to the aforementioned factors, age was taken into account in the construction of the OS nomogram. The C-index of the DFS nomogram in the training and validation groups was 0.71 (95% confidence interval [CI]: 0.64-0.77) and 0.69 (95% CI: 0.58-0.79), respectively; the C-index of the OS nomogram was 0.77 (95% CI: 0.70-0.84) and 0.74 (95% CI: 0.62-0.86), respectively. This suggests that the nomograms had high accuracy. Moreover, calibration curves showed good consistencies in both groups. Our models showed superiority in predicting accuracy compared with the AJCC TNM staging system. Furthermore, two web pages of the nomograms were produced: DFS: https://sh-skipper.shinyapps.io/TNBC1/; OS: https://sh-skipper.shinyapps.io/TNBC2/.

CONCLUSION

These predictive models are simple and easy to use, particularly the web versions. They have certain clinical value in predicting the prognosis of patients with TNBC. They can assist doctors in identifying patients at different prognostic risks and strengthen the treatment or follow-up accordingly.