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We measured SARS-CoV-2 RNA load in raw wastewater in Attica, Greece, by RT-qPCR for the environmental surveillance of COVID-19 for 6 months. The lag between RNA load and pandemic indicators (COVID-19 hospital and intensive care unit (ICU) admissions) was calculated using a grid search. Our results showed that RNA load in raw wastewater is a leading indicator of positive COVID-19 cases, new hospitalization and admission into ICUs by 5, 8 and 9 days, respectively. Modelling techniques based on distributed/fixed lag modelling, linear regression and artifi-cial neural networks were utilized to build relationships between SARS-CoV-2 RNA load in wastewater and pandemic health indicators. SARS-CoV-2 mutation analysis in wastewater during the third pandemic wave revealed that the alpha-variant was dominant. Our results demonstrate that clinical and environmental surveillance data can be combined to create robust models to study the on-going COVID-19 infection dynamics and provide an early warning for increased hospital admissions. (c) 2021 Elsevier B.V. All rights reserved.

Simple Summary Liquid biopsy provides real-time monitoring of tumor evolution and response to therapy through analysis of circulating tumor cells (CTCs) and plasma-circulating tumor DNA (ctDNA). USP44 is a member of family proteins deubiquitinases, and plays an important role in cell growth; however, its accurate role in other cellular networks is under research. In this study, we examined for the first time USP44 promoter methylation in plasma cell-free DNA (cfDNA) of patients with prostate cancer (early stage n = 32, metastatic n = 39) and 10 healthy donors (HD). USP44 promoter methylation was detected in plasma cell-free DNA by a newly developed highly specific and sensitive real-time MSP method. We report for the first time that detection of USP44 promoter methylation in plasma cell free DNA provides significant prognostic information in metastatic prostate cancer. Liquid biopsy provides real-time monitoring of tumor evolution and response to therapy through analysis of circulating tumor cells (CTCs) and plasma-circulating tumor DNA (ctDNA). USP44 is a critical gene which plays an important role in cell proliferation; however, its accurate role in other cellular networks is under research. USP44 promoter methylation has been so far reported in colorectal neoplasia and metastatic breast cancer. In this study, we examined for the first time USP44 promoter methylation in plasma cell-free DNA (cfDNA) of patients with prostate cancer (early stage n = 32, metastatic n = 39) and 10 healthy donors (HD). USP44 promoter methylation was detected in plasma cell-free DNA by a newly developed highly specific and sensitive real-time MSP method. Our findings indicate that USP44 promoter is methylated in plasma cell-free DNA of metastatic prostate cancer patients and that detection of USP44 promoter methylation is significantly associated with overall survival (OS) (p = 0.008). We report for the first time that detection of USP44 promoter methylation in plasma cell free DNA provides significant prognostic information in metastatic prostate cancer.

(1) Background: The aim of the study was to evaluate the prognostic significance of EMT-associated (TWIST1) and stem-cell (SC) transcript (CD24, CD44, ALDH1) quantification in EpCAM+ circulating tumor cells (CTCs) of early breast cancer patients. (2) Methods: 100 early stage breast cancer patients and 19 healthy donors were enrolled in the study. CD24, CD44, and ALDH1 transcripts of EpCAM(+) cells were quantified using a novel highly sensitive and specific quadraplex RT-qPCR, while TWIST1 transcripts were quantified by single RT-qPCR. All patients were followed up for more than 5 years. (3) Results: A significant positive correlation between overexpression of TWIST1 and CD24(-flow)/CD44(high) profile was found. Kaplan-Meier analysis revealed that the ER/PR-negative (HR-) patients and those patients with more than 3 positive lymph nodes that overexpressed TWIST1 in EpCAM(+) cells had a significant lower DFI (log rank test; p < 0.001, p < 0.001) and OS (log rank test; p = 0.006, p < 0.001). Univariate and multivariate analysis also revealed the prognostic value of TWIST1 overexpression and CD24(-low)/CD44high and CD24(-flow)/ALDH1(high) profile for both DFI and OS. (4) Conclusions: Detection of TWIST1 overexpression and stem-cell (CD24, CD44, ALDH1) transcripts in EpCAM(+) CTCs provides prognostic information in early stage breast cancer patients.