In the early twenty-first century, societies around the world are facing the paradoxal epidemic development of PCa as a non-communicable disease. PCa is the most frequently diagnosed cancer for men in several countries such as the USA. Permanently improving diagnostics and treatments in the PCa management causes an impressive divergence between, on one hand, permanently increasing numbers of diagnosed PCa cases and, on the other hand, stable or even slightly decreasing mortality rates. Still, aspects listed below are waiting for innovate solutions in the context of predictive approaches, targeted prevention and personalisation of medical care (PPPM / 3PM). PCa belongs to the cancer types with the highest incidence worldwide. Corresponding economic burden is enormous. Moreover, the costs of treating PCa are currently increasing more quickly than those of any other cancer. Implementing individualised patient profiles and adapted treatment algorithms would make currently too heterogeneous landscape of PCa treatment costs more transparent providing clear “road map” for the cost saving. PCa is a systemic multi-factorial disease. Consequently, predictive diagnostics by liquid biopsy analysis is instrumental for the disease prediction, targeted prevention and curative treatments at early stages. The incidence of metastasising PCa is rapidly increasing particularly in younger populations. Exemplified by trends observed in the USA, prognosis is that the annual burden will increase by over 40% in 2025. To this end, one of the evident deficits is the reactive character of medical services currently provided to populations. Innovative screening programmes might be useful to identify persons in suboptimal health conditions before the clinical onset of metastasising PCa. Strong predisposition to systemic hypoxic conditions and ischemic lesions (e.g. characteristic for individuals with Flammer syndrome phenotype) and low-grade inflammation might be indicative for specific phenotyping and genotyping in metastasising PCa screening and disease management. Predictive liquid biopsy tests for CTC enumeration and their molecular characterisation are considered to be useful for secondary prevention of metastatic disease in PCa patients. Particular rapidly increasing PCa incidence rates are characteristic for adolescents and young adults aged 15–40 years. Patients with early onset prostate cancer pose unique challenges; multi-factorial risks for these trends are proposed. Consequently, multi-level diagnostics including phenotyping and multi-omics are considered to be the most appropriate tool for the risk assessment, prediction and prognosis. Accumulating evidence suggests that early onset prostate cancer is a distinct phenotype from both aetiological and clinical perspectives deserving particular attention from view point of 3P medical approaches.
Pancreatic cancer has the worst prognosis among all cancers. Cancer screening of body fluids may improve the survival time prognosis of patients, who are often diagnosed too late at an incurable stage. Several studies report the dysregulation of lipid metabolism in tumor cells, suggesting that changes in the blood lipidome may accompany tumor growth. Here we show that the comprehensive mass spectrometric determination of a wide range of serum lipids reveals statistically significant differences between pancreatic cancer patients and healthy controls, as visualized by multivariate data analysis. Three phases of biomarker discovery research (discovery, qualification, and verification) are applied for 830 samples in total, which shows the dysregulation of some very long chain sphingomyelins, ceramides, and (lyso)phosphatidylcholines. The sensitivity and specificity to diagnose pancreatic cancer are over 90%, which outperforms CA 19-9, especially at an early stage, and is comparable to established diagnostic imaging methods. Furthermore, selected lipid species indicate a potential as prognostic biomarkers.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccination may fail to sufficiently protect transplant recipients against coronavirus disease 2019 (COVID-19). We retrospectively evaluated COVID-19 in kidney transplant recipients (n = 226) after BNT162b2 mRNA vaccine administration. The control group consisted of unvaccinated patients (n = 194) during the previous pandemic wave. We measured anti-spike protein immunoglobulin G (IgG) levels and cellular responses, using enzyme-linked immunosorbent spot assay, in a prospective cohort after vaccination (n = 31) and recovery from COVID-19 (n = 19). COVID-19 was diagnosed in 37 (16%) vaccinated and 43 (22%) unvaccinated patients. COVID-19 severity was similar in both groups, with patients exhibiting a comparable need for hospitalization (41% vs. 40%, p = 1.000) and mortality (14% vs. 9%, p = .726). Short posttransplant periods were associated with COVID-19 after vaccination (p < .001). Only 5 (16%) patients achieved positive SARS-CoV-2 IgG after vaccination, and 17 (89%, p < .001) recovered from COVID-19 (median IgG levels, 0.6 vs. 52.5 AU/ml, p < .001). A cellular response following vaccination was present in the majority (n = 22, 71%), with an increase in interleukin 2 secreting T cells (p < .001). Despite detectable T cell immunity after mRNA vaccination, kidney transplant recipients remained at a high risk of severe COVID-19.Humoral responses induced by vaccination were significantly lower than that after COVID-19.
Molecular targeted therapy based on tyrosine kinase inhibitors (TKI), directed at epidermal growth factor receptor (EGFR) is one of the novel effective agents in management of advanced-stage of Non Small Cell Lung cancer (NSCLC). However several candidate predictors have been extensively studied, apart from activating EGFR gene mutations, no reliable biochemical or molecular predictors of response to erlotinib have been validated. The aim of our retrospective study was to evaluate the association of baseline serum albumin with outcomes in a large cohort of patients with advanced-stage NSCLC treated with erlotinib. Clinical data of 457 patients with locally-advanced (III B) or metastatic stage (IV) NSCLC treated with erlotinib were analysed. Serum samples were collected and the measurement was performed one day before the initiation of erlotinib treatment. Before the treatment initiation, low albumin was (<35 g/l) measured in 37 (8.1%) patients and normal albumin (≥ 35 g/l) was measured in 420 (91.9%). The median PFS and OS for patients with low serum albumin was 0.9 and 1.9 months compared to 1.9 and 11.4 months for patients with normal serum albumin (p=0.001 and p<0.001). The multivariate Cox proportional hazards model revealed that EGFR mutation status (HR=2.50; CI: 1.59-3.92; p<0.001) and pretreatment serum albumin (HR=1.73; CI: 1.21-2.47; p=0.003) were significant independent predictive factors for PFS, whereas EGFR mutation status (HR=3.14; CI: 1.70-5.81; p<0.001), stage (HR=1.48; CI: 1.09-2.02; p=0.013), ECOG PS (HR=1.77; CI: 1.37-2.29; p<0.001) and pretreatment serum albumin (HR=4.60; CI: 2.98-7.10; p<0.001) were significant independent predictive factors for OS. In conclusion, the results of present retrospective study indicate that pretreatment hypoalbuminemia is associated with poor outcome of NSCLC patients treated with erlotinib. Based on these results, measuement of serum albumin is an objective laboratory method feasible for estimation of prognosis of patients with advanced-stage NSCLC.
Background and Objectives Utilisation of the one‐step nucleic acid amplification (OSNA) molecular biology method for the detection of the metastatic involvement of sentinel lymph nodes (SLNs) in endometrial cancer (EC) patients. A comparison with histopathological ultrastaging and a description of the clinical consequences. Methods Surgically treated EC patients underwent detection of SLNs. Nodes greater than 5 mm were cut into sections 2‐mm thick parallel to the short axis of the node. Odd sections were examined according to the OSNA method, while even ones according to an appropriate ultrastaging protocol. Nodes less than or equal to 5 mm were cut into halves along the longitudinal axis with one half examined according to the OSNA method and the other half by ultrastaging. Results Fifty‐eight patients were included and 135 SLNs were acquired. Both ultrastaging and OSNA agreed on 116 results. According to the OSNA method, 20.69% more patients were classified into International Federation of Gynecology and Obstetrics (FIGO) stage III. When comparing the results of the OSNA method to the conclusions of ultrastaging as a reference method, sensitivity of 90.9%, specificity of 85.5% and concordance of 85.9% were attained. Conclusions The results of the OSNA method showed a higher frequency of detection of micrometastases and included 20.69% more patients into FIGO stage III.
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