Stability of total prostate-specific antigen and free prostate-specific antigen after 10 years’ storage

Introduction:

PSA is a serine protease composed of 240 amino acids in a single polypeptide chain and is a routine parameter in prostate cancer diagnostics. The aim of our study was to test the long-term stability of tPSA and fPSA after 10 years’ storage at −80°C.

Materials and methods:

We analyzed two aliquots from 55 serum samples. The first was assayed in routine testing at the time of establishing the diagnosis. The second was thawed for further testing after approximately 10 years’ storage at −80°C. The mean of storage time was 10.41 years (min–max: 9.35–11.40 years). We compared the results of tPSA and fPSA. We calculated the fPSA/tPSA ratio and compared the results of clinical evaluation. Serum tPSA and fPSA levels were assayed using chemiluminescent kits Access Hybritech PSA and free PSA. All measurements were performed using the instrument UniCel® DxI 800.

Results:

tPSA decreased 3.59% on average with a correlation r=0.9213, and fPSA increased at an average of 2.41% with a correlation r=0.9338. The fPSA/tPSA ratio increased 0.80% on average with a correlation r=0.9174. On clinical evaluation, five samples had fallen to a less malignant category and three samples had risen to a higher malignant category compared with the original results.

Conclusion:

The stability of tPSA and fPSA levels in serum is sufficient after 10 years’ storage at −80°C. Calculation of the fPSA/tPSA ratio is not recommended due to the change in the category of malignancy of 15% of the samples.

The Role of TPS and TPA in the Diagnostics of Distant Metastases

AIM

The aim of the study was to assess the degree to which tissue polypeptide antigen (TPA) and tissue polypeptide-specific antigen (TPS), as well as carcinoembryonic antigen (CEA), can assist in the detection of distant metastases.

PATIENTS AND METHODS

We assessed 157 patients with colorectal and breast cancer divided into two groups. The first was a group of patients with cancer at stages 1, 2 and 3; the second was a group of patients with cancer at stage 4 with metastasis.

RESULTS

We found significantly higher levels of all biomarkers in the metastatic group compared to the group with cancer at stages 1-3 (p<0.0001). The calculated area under the receiver operating characteristic (ROC) curve was 0.9929 for TPS, 0.9337 for TPA and 0.7234 for CEA. The cut-off was calculated for each biomarker at 95% specificity, TPS cut-off=255 IU/l (sensitivity 95%), TPA cut-off=200 IU/l (sensitivity 70%) and CEA cut-off=18 μg/l (sensitivity 37%).

CONCLUSION

We suggest combining CEA with TPS or TPA in the detection of distant metastases or using only cytokeratins. This approach can significantly increase the quality of detection of the metastatic process.

Challenges in personalised management of chronic diseases-heart failure as prominent example to advance the care process

Chronic diseases are the leading causes of morbidity and mortality in Europe, accounting for more than 2/3 of all death causes and 75 % of the healthcare costs. Heart failure is one of the most prominent, prevalent and complex chronic conditions and is accompanied with multiple other chronic diseases. The current approach to care has important shortcomings with respect to diagnosis, treatment and care processes. A critical aspect of this situation is that interaction between stakeholders is limited and chronic diseases are usually addressed in isolation.

Health care in Western countries requires an innovative approach to address chronic diseases to provide sustainability of care and to limit the excessive costs that may threaten the current systems. The increasing prevalence of chronic diseases combined with their enormous economic impact and the increasing shortage of healthcare providers are among the most critical threats. Attempts to solve these problems have failed, and future limitations in financial resources will result in much lower quality of care. Thus, changing the approach to care for chronic diseases is of utmost social importance.

Evaluation of IL-2, IL-6, IL-8 and IL-10 in Malignant Melanoma Diagnostics

AIM

The aim of the present study was to evaluate the usefulness of four interleukins (IL-2, IL-6, IL-8 and IL-10) for melanoma detection and correlate these interleukins with sentinel node metastasis positivity.

PATIENTS AND METHODS

A group of 236 persons was assessed: 175 patients with melanomas and 61 healthy persons. Melanoma patients were divided to four groups according to Breslow score. We determined IL-2, IL-6, IL-8 and IL-10 in each plasma sample. Interleukin plasma levels were assayed using a Human Cytokine Milliplex Map kit. Measurements were performed using the Bio-Plex MAGPIX Multiplex Reader. Plasma samples were collected prior to surgery or any other form of treatment. All melanoma diagnoses were histologically verified.

RESULTS

We compared interleukin plasma levels in the healthy group and plasma levels in each Breslow score stage. In the first Breslow score stage, IL-2 (p<0.0001), IL-6 (p=0.0004) and IL-10 (p<0.0001) were positive. In the second Breslow score, stage IL-2 (p<0.0001), IL-6 (p<0.0001), IL-8 (p=0.0017) and IL-10 (p<0.0001) were positive. By comparing the group of positive and negative sentinel node metastasis, we observed a statistically significant difference in two interleukins: The median of IL-2 levels in the negative group was 5.88 pg/ml compared to 32.57 pg/ml in the positive group (p=0.0005). The median of IL-6 levels in the negative group was 4.80 pg/ml compared to 32.02 pg/ml in the positive group (p=0.0048).

CONCLUSION

Interleukins IL-2, IL-6 and IL-10 are promising biomarkers of early-stage melanoma. IL-2 and IL-6 appear to be prognostic biomarkers.

Reference values of IGF1, IGFBP3 and IGF1/IGFBP3 ratio in adult population in the Czech Republic

BACKGROUND

IGF1 is responsible for regulation of growth, metabolism and differentiation of human cells. IGFBP3 is the most abundant of the carrier proteins for IGF1 in the blood. IGF1/IGFBP3 molar ratio is an indicator of IGF1 bioavailability. We decided to create a file of reference ranges of IGF1, IGFBP3 and IGF1/IGFBPP3 ratio for the adult Czech population across the age spectrum.

METHODS

We selected a group of 1022 subjects, 467 males and 555 females (ages 20-98 years), from several regions in the Czech Republic. The group consisted of blood donors and patients undergoing regular preventive examinations. Serum levels of IGF1 and IGFBP3 were measured using the following radioimmunoassay kits: IRMA IGF1 (Immunotech, Marseille, France) and IRMA IGFBP3 (Immunotech, Prague, Czech Republic). The IGF1/IGFBP3 ratio was also calculated. The following groups of patients were excluded: patients with diabetes, high blood glucose, high insulin levels, post-surgery patients, polymorbid patients, and subjects with oncological diseases. Subjects were divided into seven age-groups. Changes in the levels of observed analytes in each decade across the age spectrum were evaluated. All statistical analyses were performed by SAS 9.3 (Statistical Analysis Software release 9.3; SAS Institute Inc., Cary, NC, USA).

RESULTS

All three parameters IGF1, IGFBP3 and IGF1/IGFBP3 decreased in parallel with decrease in age: p<0.0001, r=-0.64, -0.35 and -0.54, respectively. The dynamics of the decline was different between males and females. Linear regression models with age as independent variable fitted by gender are displayed in Fig. 1. Non-parametric reference interval curves (medians and 2.5th-97.5th percentiles) for IGF1, IGFBP3 and IGF1/IGFBP3 ratio as function of age by gender are displayed in Fig. 2(a,b,c). All medians and 2.5th-97.5th percentiles were plotted by cubic spline. For males, linear regression models were as follows: IGF1=291.34619-2.41211 × age, IGFBP3=2931.62778-6.11659 × age, IGF1/IGFBP3=0.02897-0.00021213 × age. For females, we plotted the following: IGF1=241.67406-1.98466 × age, IGFBP3=3688.60561-16.39560 × age, IGF1/IGFBP3=0.02029-0.00013233 × age. IGF1 was statistically significantly higher in males with p<0.0001 (Wilcoxon test) but decreased faster (p=0.0121). IGFBP3 was statistically significantly higher in females with p=0.0004 (Wilcoxon test) but decreased faster (p<0.0001). IGF1/IGFBP3 was statistically significantly higher in males with p<0.0001 (Wilcoxon test) but decreased faster (p<0.0001).

CONCLUSION

Authors recommend using of a linear regression model based reference ranges for IGF1, IGFBP3 and IGF1/IGFBP3 ratio and using different reference ranges for genders.

Prognostic importance of some clinical and therapeutic factors for the effect of portal vein embolization in patients with primarily inoperable colorectal liver metastases

INTRODUCTION

Portal vein embolization (PVE) may increase the resectability of liver metastases. However, the problem of PVE is insufficient growth of the liver or tumor progression in some patients. The aim of this study was to evaluate the significance of commonly available clinical factors for the result of PVE.

MATERIAL AND METHODS

Portal vein embolization was performed in 38 patients with colorectal liver metastases. Effects of age, gender, time between PVE and liver resection, oncological therapy after PVE, indocyanine green retention rate test, synchronous, metachronous and extrahepatic metastases, liver volume before and after PVE, increase of liver volume after PVE and the quality of liver parenchyma before PVE on the result of PVE were evaluated.

RESULTS

Liver resection was performed in 23 (62.2%) patients within 1.3 ±0.4 months after PVE. Tumor progression occurred in 9 (23.7%) patients and 6 (15.8%) patients had insufficient liver hypertrophy. Significant clinical factors of PVE failure were number of liver metastases (cut-off - 4; odds ratio - 4.7; p < 0.03), liver volume after PVE (cut-off 1000 cm(3); odds ratio - 5.1; p < 0.02), growth of liver volume after PVE (cut-off 150 cm(3); odds ratio - 18.7; p < 0.002), oncological therapy administered concomitantly with PVE (p < 0.003).

CONCLUSIONS

Negative clinical factors of resectability of colorectal cancer liver metastases after PVE included more than four liver metastases, liver volume after PVE < 1000 cm(3), growth of the contralateral lobe by less than 150 cm(3) and concurrent oncological therapy.