Low pre-operative levels of serum albumin predict lymph node metastases and ultimately correlate with a biochemical recurrence of prostate cancer in radical prostatectomy patients

Clinical significance of serum high sensitive C-reactive protein/albumin ratio in primary prostate biopsy

Objective

The purpose of this study was to investigate the clinical significance of serum high sensitive C-reactive protein/albumin ratio in primary prostate biopsy.

Methods

Retrospective analysis was done on the clinical data of 1679 patients who had their first transrectal or perineal prostate biopsy at our situation from 2010 to 2018. Prostate cancer (PCa) and benign prostatic hyperplasia (BPH) were the pathologic diagnoses in 819 and 860 cases, respectively. A comparison was made between the HAR differences between PCa and BPH patients as well as the positive prostate biopsy rate differences between groups with increased and normal HAR. The results of the prostate biopsy were examined using logistic regression, and a model for predicting prostate cancer was created. The receiver characteristic curve (ROC) was used to determine the model's prediction effectiveness. The clinical models integrated into HAR were evaluated for their potential to increase classification efficacy using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). According to the Gleason score (GS) categorization system, prostate cancer patients were separated into low, middle, and high GS groups. The differences in HAR between the various groups were then compared. The prevalence of high GSPCa and metastatic PCa in normal populations and the prevalence of higher HAR in prostate cancer patients were compared using the chi-square test.

Result

Patients with PCa had a median HAR (upper quartile to lower quartile) of 0.0379 (10-3), patients with BPH had a median HAR (0.0137 (10-3)), and the difference was statistically significant (p<0.05). Patients with increased HAR and the normal group, respectively, had positive prostate biopsy rates of 52% (435/839)and 46% (384/840), and the difference was statistically significant (p<0.05). Logistic regression analysis showed that HAR (OR=3.391, 95%CI 2.082 ~ 4.977, P < 0.05), PSA density (PSAD) (OR=7.248, 95%CI 5.005 ~ 10.495, P < 0.05) and age (OR=1.076, 95%CI 1.056 ~ 1.096, P < 0.05) was an independent predictor of prostate biopsy results. Two prediction models are built: a clinical model based on age and PSAD, and a prediction model that adds HAR to the clinical model. The two models' ROC had area under the curves (AUC) of 0.814 (95%CI 0.78-0.83) and 0.815 (95%CI 0.79-0.84), respectively. When compared to a single blood total PSA (tPSA) with an AUC of 0.746 (95%CI 0.718-0.774), they were all superior. Nevertheless, there was no statistically significant difference (p<0.05) between the two models. We assessed the prediction model integrated into HAR's capacity to increase classification efficiency using NRI and IDI, and we discovered that NRI>0, IDI>0, and the difference was statistically significant (P>0.05).There was a statistically significant difference in HAR between various GS groups for individuals who had prostate cancer as a consequence of biopsy (p<0.05). The incidence of high GS and metastatic patients was statistically significantly greater (p<0.05) in the HAR elevated group (90.1%and 39.3%, respectively) than in the HAR normal group (84.4% and 12.0%).

Conclusion

Prostate biopsy results that were positive were impacted by HAR, an independent factor that increased with the rate of PCa discovery. Patients with elevated HAR had a greater risk of high GS as well as metastatic PCa among those with recently diagnosed prostate cancer through prostate biopsy.

The effect of albumin and hemoglobin levels on the prognosis of early-stage cervical cancer: a prospective, single-center-based cohort study

BACKGROUND

Serum albumin (ALB) and hemoglobin (HGB) are important serum biochemical indices of the nutritional status of patients and are associated with cancer development. We investigated the relationship between ALB and HGB levels and clinicopathologic characteristics of early-stage cervical cancer to determine the influence of ALB and HGB on the prognosis of early-stage cervical cancer.

METHODS

The clinical data of 560 patients with International Federation of Gynaecology and Obstetrics (FIGO, 2009) stage IA1-IIA2 cervical cancer from January 2005 to December 2010 were retrospectively analyzed. The relationship between serum ALB and HGB levels and clinicopathological characteristics of patients were analyzed. The patients were followed-up for 12-138 months. The effects of ALB and HGB levels on the prognosis were analyzed by Cox regression, log-rank test, and the Kaplan-Meier method.

RESULTS

The rate of patients with pelvic lymph node metastasis (PLNM), tumor diameter ≥ 4 cm, lymphovascular space invasion (LVSI), and deep stromal invasion was significantly higher in the anemia and hypoalbuminemia group than in the normal group (P < 0.05). The progression-free survival (PFS) and overall survival (OS) of patients in the hypoalbuminemia group and anemia group were significantly lower than that of the normal group (P < 0.05). FIGO stage, tumor diameter, PLNM, depth of stromal invasion, LVSI, the levels of ALB and HGB were risk factors for the prognosis of cervical cancer patients (P < 0.05).

CONCLUSION

Patients with hypoproteinemia and anemia in early-stage cervical cancer are more likely to have higher tumor stage, larger tumor size, PLNM, LVSI, and deep stromal invasion. In addition, patients with hypoproteinemia and anemia have a poorer prognosis than those without the condition. Therefore, it is of great significance to detect the ALB and HGB levels of patients and improve the nutritional status of patients in a timely manner for better prognosis of cervical cancer.

The relationship between serum albumin and prostate-specific antigen: A analysis of the National Health and Nutrition Examination Survey, 2003-2010

Background

Previous studies have shown that serum albumin is associated with prostate cancer (PCa), but not with prostate-specific antigen (PSA) levels in populations without PCa history. Therefore, we analyzed secondary data provided by the National Health and Nutrition Examination Survey (NHANES) (2003-2010).

Methods

In total, 5,469 participants were selected from the NHANES database (2003-2010). Serum albumin and PSA levels were serially considered independent and dependent variables, serially. A number of covariates were included in this study, including demographic, dietary, physical examination, and comorbidity data. Using weighted linear regression model and smooth curve fitting, the linear and non-linear relationship between serum albumin and PSA was investigated.

Results

After modulating underlying interference factors, the weighted multivariate linear regression analysis revealed that serum albumin did not independently predict PSA levels (β = -0.009 95%CI: -0.020, 0.002). Nevertheless, a non-linear relationship was found between serum albumin and PSA, with a point of 41 g/L. Left of the inflection point, the effect size, 95%CI, and P-value were 0.019 (log2 transformation) (-0.006, 0.043) and 0.1335, respectively. We found a negative association between serum albumin and PSA on the right side of the inflection point, with effect size, 95%CI, and a P-value of -0.022 (log2 transformation) (-0.037, -0.007), 0.0036.

Conclusion

In summary, serum albumin and PSA levels are not linearly related. When serum albumin levels exceed 41 g, serum albumin levels are negatively associated with PSA levels.

Outcome of docetaxel in treatment of metastatic hormone-sensitive prostate cancer and correlation with hemoglobin, albumin, lymphocyte and platelets score

INTRODUCTION

We aimed to evaluate the outcome of treatment with docetaxel plus androgen deprivation therapy (ADT) in newly diagnosed patients with metastatic high tumor burden hormone-sensitive prostate cancer (mHSPC) and correlated the outcome with hemoglobin, albumin, lymphocyte and platelets (HALP) score.

MATERIAL AND METHODS

Six cycles of docetaxel plus ADT were given to 50 patients with high burden mHSPC. Baseline HALP score was calculated and disease outcome was tabulated; moreover, the prognostic impact of the HALP score in response to treatment and survival was calculated.

RESULTS

We found a significant association between high HALP score and response to treatment where a higher rate of complete response occurred in patients with a high HALP score than in patients with a low HALP score (53.8% vs. 5.4% respectively, p-value = 0.001). Patients with ≥ 12-month-duration castration-resistant prostate cancer (CRPC) had a significantly higher HALP score compared to patients with a lower HALP score (84.6% vs. 35.1% respectively, p-value = 0.002); 18-month-duration CRPC-free survival was significantly greater in patients with higher HALP score than patients with a lower HALP score (23.1% and 5.4% respectively, p-value < 0.001). Patients with a high HALP score had insignificantly higher mean overall survival than patients with a low HALP score (mean: 22.91 and 20.66 months respectively, p-value = 0.230).

CONCLUSIONS

Our results confirmed the benefits of treatment with docetaxel plus ADT in high-burden mHSPC with accepted tolerance. HALP score was found to be an independent predictive factor for benefit from therapy; we can apply it as an easy way to stratify patients for appropriate selection of treatment for better tolerance and outcome.

High-Throughput Microbore Ultrahigh-Performance Liquid Chromatography-Ion Mobility-Enabled-Mass Spectrometry-Based Proteomics Methodology for the Exploratory Analysis of Serum Samples from Large Cohort Studies

The deployment of proteomic analysis in clinical studies represents a significant opportunity to detect and validate biomarkers in translational medicine, improve disease understanding, and provide baseline information on population health. However, comprehensive proteome studies usually employ nanoscale chromatography and often require several hours of analysis/sample. Here, we describe a high-throughput liquid chromatography tandem mass spectrometry (LC/MS/MS) methodology using 1 mm scale chromatography requiring only 15 min/sample, coupled to ion mobility-enabled mass spectrometry. The short run time effected a 6-fold increase in productivity compared with nanoscale LC/MS. The method demonstrated excellent reproducibility with retention time coefficient of variations of less than 0.05% and peak area reproducibility ranging from 5 to 15%. The 1 mm system produced similar chromatographic peak capacity values to the nanoscale miniaturized system, detecting 90% of the Escherichia coli proteins identified by the 75 μm LC/MS system (albeit based on only 75% of the peptides found by the latter). Application to the analysis of serum samples from a human prostate cancer study group resulted in the identification of a total of 533 proteins revealing the differential expression of proteins linked to patients receiving hormone-radiotherapy or undergoing surgery.

Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer

Background

The prognostic nutritional index (PNI), an immunity and nutrition based prognostic score, was correlated with clinical outcomes in different tumors. However, the prognostic significance of PNI has not been investigated in hormone sensitive prostate cancer (PCa). The objective of this study was to determine the prognostic significance of PNI in hormone sensitive PCa.

Methods

Two hundred eighty PCa patients undergoing androgen deprivation therapy (ADT) as first line therapy at three centers were enrolled. The serum albumin levels and peripheral lymphocyte count were measured at the time of diagnosis. PNI was calculated as 10 * serum albumin (g/dL) + 0.005 * total lymphocyte count (per mm3). Patients were categorized in two groups using a cut-off point of 50.2 as calculated by the receiver-operating curve analysis. Univariate and multivariate cox regression analyses were performed to evaluate PNI as a favorable prognostic factor for progression-free survival (PFS), cancer-specific survival (CSS) and overall survival (OS). Prognostic accuracy was evaluated with the Harrell concordance index.

Results

Multivariate analyses identified PNI as an independent prognostic indicator with respect to PFS (hazard ratio (HR) = 0.521, p = 0.001), CSS (HR = 0.421, p = 0.002) and OS (HR = 0.429, p = 0.001). Patients with elevated PNI had better clinical outcomes. The addition of PNI to the final models improved predictive accuracy (c-index: 0.758, 0.830 and 0.782) for PFS, CSS and OS compared with the clinicopathological base models (c-index: 0.736, 0.801 and 0.752), which included Gleason score and incidence of metastasis.

Conclusions

Elevated pretreatment PNI was a favorable prognostic indicator for PCa patients treated with ADT.

Treatment Stratification of Patients with Metastatic Castration-Resistant Prostate Cancer by Machine Learning

Prostate cancer is the most common cancer in men in the Western world. One-third of the patients with prostate cancer will develop resistance to hormonal therapy and progress into metastatic castration-resistant prostate cancer (mCRPC). Currently, docetaxel is a preferred treatment for mCRPC. However, about 20% of the patients will undergo early therapeutic failure owing to adverse events induced by docetaxel-based chemotherapy. There is an emergent need for a computational model that can accurately stratify patients into docetaxel-tolerable and docetaxel-intolerable groups. Here we present the best-performing algorithm in the Prostate Cancer DREAM Challenge for predicting adverse events caused by docetaxel treatment. We integrated the survival status and severity of adverse events into our model, which is an innovative way to complement and stratify the treatment discontinuation information. Critical stratification biomarkers were further identified in determining the treatment discontinuation. Our model has the potential to improve future personalized treatment in mCRPC.

The Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score is a Novel Significant Prognostic Factor for Patients with Metastatic Prostate Cancer Undergoing Cytoreductive Radical Prostatectomy

Objective: The hemoglobin, albumin, lymphocyte, and platelet (HALP) score has been shown to be an important prognostic marker in some tumor types. The aim of this study was to evaluate the prognostic impact of the preoperative HALP score, with the intent to develop a new prognostic index for patients with metastatic prostate cancer (mPCA) after cytoreductive radical prostatectomy (cRP).

Methods: We retrospectively analyzed the data from 82 patients with mPCA after cRP in our institution. Of these patients, 70 patients were diagnosed with oligometastatic prostate cancer (oPCA). The main outcome measure was prostate-specific antigen (PSA) progression-free survival (PFS), which was assessed using Kaplan-Meier curves with log-rank statistics. In addition, univariate and multivariate Cox regression analyses were performed to determine the prognostic factors associated with PSA-PFS. The prediction accuracy was evaluated by assessing the area under the receiver operating characteristic (AUC) curve.

Results: The median follow-up time for all patients was 17.47 months (range: 11.73-24.38 months). Based on the Kaplan-Meier curve analysis, it was noticed that a low preoperative HALP value (<32.4) was significantly associated with a decreased PSA-PFS in both the mPCA and oPCA subgroups (P < 0.001, P = 0.002, respectively). In addition, multivariate analysis predicted that a low HALP score was a common independent prognostic factor of an overall shorter PSA-PFS (HR: 0.352; range: 0.154-0.804; P = 0.013). However, among the different subgroups, a low HALP score (HR: 0.275; range: 0.116-0.653; P = 0.003) was confirmed to be an independent predictor of a shorter PSA-PFS in patients from the oPCA subgroup. Furthermore, the effective combination of the pathologic Gleason score (PGS) and the HALP score (HALPG) as a new index was found to be an independent risk factor. Also, the AUC of the HALPG score for PSA-PFS was observed to be higher than other conventional clinical indices.

Conclusion: Overall, our results confirmed the HALP score as an independent prognostic factor for PSA-PFS in patients with mPCA or oPCA after cRP. Moreover, the new index, HALPG, also appeared to be an independent prognostic factor and was better than the HALP score. Importantly, it is evident that this new prognostic index has the ability to accurately identify patients at low, intermediate, and high risk of recurrence, thus easily allowing informed treatment decisions to be made.

Albumin and Fibrinogen Combined Prognostic Grade Predicts Prognosis of Patients with Prostate Cancer

Background: The nutritional status and systemic inflammation are thought to be associated with outcome in multiple types of cancer. The objective of this study was to determine the prognostic value of pretreatment albumin and fibrinogen combined prognostic grade (AFPG) in prostate cancer (PCa). Methods: 462 prostate cancer patients who had undergone androgen deprivation therapy (ADT) as first-line therapy at four cencters were retrospectively analyzed. The serum albumin levels and plasma fibrinogen levels were measured at the time of diagnosis. The AFPG was calculated according to albumin and fibrinogen levels dichotomized by optimal cut-off values or clinical reference values. Univariate and multivariate cox regression analyses were performed to determine the associations of AFPG with progression-free survival (PFS), cancer-specific survival (CSS) and overall survival (OS). Prognostic accuracy was evaluated with the Harrell concordance index. Results: Multivariate analyses identified AFPG as an independent prognostic indicator for PFS, CSS and OS (each p < 0.01). According to optimal cut-off values, the addition of AFPG to the final models improved predictive accuracy for PFS, CSS and OS compared with the clinicopathological base models, which included Gleason score and incidence of metastasis. Moreover, AFPG according to optimal cut-off values was a better prognostic predictor than albumin levels alone or fibrinogen levels alone or AFPG according to clinical reference values. Conclusion: Decreased AFPG could predict a significantly poor prognosis in patients with PCa. Thus, we recommend adding AFPG according to optimal cut-off values to traditional prognostic model to improve the predictive accuracy.

Prognostic Effect of Albumin-to-Globulin Ratio in Patients with solid tumors: A Systematic Review and Meta-analysis

Background: Albumin and globulin are main components of serum protein. The level of albumin and globulin partially represents the nutrition status and immune system. Albumin-to-globulin ratio (AGR) has been reported as a prognostic factor in various cancers. We therefore performed a meta-analysis to elucidate the prognosis effect of AGR on survival outcomes in solid tumors. Method: Six electronic database were searched for the relevant articles that assessing the prognostic value of pre-treatment AGR in solid tumor patients. The primary outcome was overall survival (OS) and the secondary outcomes were cancer-specific survival (CSS), disease-free survival (DFS) and disease-metastasis-free survival (DMFS). The time-to-event outcomes were summarized in hazard ratio (HR) and 95% confidence interval (CI). Result: A total of 13890 solid tumor patients in 24 studies were included. The AGR higher than the cut-off values ranging from 1.15-1.75 was related to better OS (HR=0.58, 95%CI 0.537-0.626, p<0.0001), CSS (HR=0.287, 95%CI 0.187-0.438, p<0.0001), DFS (HR=0.792, 95%CI 0.715-0.878, p<0.0001) and DMFS (HR=0.595, 95%CI 0.447-0.792, p<0.0001). According to the cut-off values, subgroup analysis showed that AGR had significant prognostic effect on OS in each cut-off intervals (≤1.20, 1.20-1.40 and ≥1.40). Conclusion: Pre-treatment AGR is an effective prognostic factor and high AGR represents an ideal clinical outcome in the solid tumor patients.

Serum Pre-Albumin Predicts the Clinical Outcome in Metastatic Castration-Resistant Prostate Cancer Patients Treated With Abiraterone

Objective To determine the prognostic utility of serum pre-albumin in metastatic castration-resistant prostate cancer (mCRPC) patients treated with abiraterone (AA).

Patients and Methods 112 chemotherapy pretreated or chemotherapy-naive patients were scheduled for systemic treatment with AA. Serum pre-albumin levels were measured before and after 3 months of AA treatment. Univariate and multivariate analyses were performed to determine prognostic factors that were associated with PSA progression-free survival (PSA-PFS), radiographic PFS (rPFS) and overall survival (OS). The Harrell concordance index with variables only or combined pre-albumin data were used to evaluate the prognostic accuracy.

Results The group of patients with baseline pre-albumin value ≥20mg/dL had a longer OS, PSA-PFS, rPFS than those with pre-albumin value <20mg/dL. Based on the values of pre-albumin before and after 3 months of AA treatment, we divided these patients into 4 groups: high-high, high-low, low-high and low-low group. High- high group showed a significantly better OS, PSA-PFS, rPFS than other 3 groups. In multivariate analysis, low pre-albumin level remained significant predictors of OS (HR, 13.2; P<0.001), rPFS (HR, 3.7; P=0.003) and PSA-PFS (HR, 8.7; P<0.001). The estimated c-index of the multivariate model for OS increased from 0.814 without pre-albumin to 0.845 when pre-albumin added.

Conclusion Low pretreatment serum pre-albumin is a negative independent prognosticator of survival outcomes in mCRPC treated with AA and also increases the accuracy of established prognostic model. Serial pre-albumin evaluation might help clinicians guide clinical treatment of mCRPC patients.

Significance of venous thromboembolism in women with cervical cancer

OBJECTIVE

To characterize risk factors of venous thromboembolism (VTE) and to examine effects of VTE on survival of women with cervical cancer.

METHODS

This is a retrospective study examining consecutive stage I-IV cervical cancer cases diagnosed between 2000 and 2014. Cumulative risk of VTE after cervical cancer diagnosis was evaluated by a time-dependent analysis, expressing adjusted-hazard ratio [HR] and 95% confidence interval [CI]. Survival analysis was performed to determine independent risk factors for progression-free survival (PFS) and disease-specific overall survival (OS).

RESULTS

VTE was recorded in 98 (12.3%, 95%CI 11.6-22.8) out of 798 cases with 1-, 2-, and 5-year cumulative incidences after cervical cancer diagnosis being 8.4%, 11.3%, and 18.7%, respectively. On multivariable analysis, advanced-stage disease (2-year cumulative risk, distant metastatic disease 44.8% [HR 4.13, 95%CI 1.06-10.7, P=0.003], and locally-advanced disease 13.4% [HR 2.46, 95%CI 1.17-4.43, P=0.004]) were independently associated with increased risk of VTE compared to early-stage disease (stage IA1-IB1 4.1%). In addition, low albumin level (HR per unit change, 0.59, 95%CI 0.40-0.85, P=0.005) and chemotherapy treatment (HR 2.46, 95%CI 1.30-4.66, P=0.006) remained independent risk factors associated with increased risk of VTE. On univariate analysis, VTE was significantly associated with decreased PFS (5-year rates, 22.3% versus 68.7%, P<0.001) and OS (5-year rates, 55.1% versus 90.0%, P<0.001). On multivariable analysis, VTE remained an independent prognostic factor associated with decreased PFS (HR 1.95, 95%CI 1.43-2.67, P<0.001) and OS (HR 3.54, 95%CI 2.04-6.13, P<0.001).

CONCLUSION

VTE represents aggressive tumor behavior and poor patient condition, and is an independent prognostic factor for decreased survival in women with cervical cancer.

Construction and analysis of protein-protein interaction networks based on proteomics data of prostate cancer

Currently, using human prostate cancer (PCa) tissue samples to conduct proteomics research has generated a large amount of data; however, only a very small amount has been thoroughly investigated. In this study, we manually carried out the mining of the full text of proteomics literature that involved comparisons between PCa and normal or benign tissue and identified 41 differentially expressed proteins verified or reported more than 2 times from different research studies. We regarded these proteins as seed proteins to construct a protein-protein interaction (PPI) network. The extended network included one giant network, which consisted of 1,264 nodes connected via 1,744 edges, and 3 small separate components. The backbone network was then constructed, which was derived from key nodes and the subnetwork consisting of the shortest path between seed proteins. Topological analyses of these networks were conducted to identify proteins essential for the genesis of PCa. Solute carrier family 2 (facilitated glucose transporter), member 4 (SLC2A4) had the highest closeness centrality located in the center of each network, and the highest betweenness centrality and largest degree in the backbone network. Tubulin, beta 2C (TUBB2C) had the largest degree in the giant network and subnetwork. In addition, using module analysis of the whole PPI network, we obtained a densely connected region. Functional annotation indicated that the Ras protein signal transduction biological process, mitogen-activated protein kinase (MAPK), neurotrophin and the gonadotropin-releasing hormone (GnRH) signaling pathway may play an important role in the genesis and development of PCa. Further investigation of the SLC2A4, TUBB2C proteins, and these biological processes and pathways may therefore provide a potential target for the diagnosis and treatment of PCa.