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Zaczek, A.

Publications and source records attributed to Zaczek, A..

2 recordsLinked to original sources

Diabetes Might Shape Vasculature, Tumor Dissemination and Circulating Inflammation Marker Profiles in Prostate Cancer.

Background and objectiveChronic comorbidities like diabetes mellitus can influence cancer incidence and progression. However, their impact on pathological and molecular tumor characteristics, and dissemination, especially in prostate cancer (PCa), is not fully understood. Here, we investigated differences in the PCa molecular landscape with coexisting diabetes type 2 and its link to tumor dissemination. MethodsDAmico intermediate- or high-risk PCa patients (n=145), with type 2 diabetes or no diabetes, were analyzed for clinico-pathological features, circulating tumor cell (CTC) presence, yields and phenotypes in tumor-draining vein (TDVB) and peripheral blood (PB), primary tumor characteristics, and selected plasma biomarkers. Key findings and limitationsDiabetes type 2 was found in 20/13.8% patients and associated with more advanced clinical outcomes, i.e. pathological tumor stage (p=0.011) and lymph node involvement (p=0.020). Among patients diagnosed before age 65, diabetes and PCa showed a borderline association with shorter time-to-biochemical recurrence (p=0.032). Diabetic PCa patients had significantly higher total CTC counts in TDVB but not in PB, indicating enhanced tumor cell dissemination from primary tumor (PT). PTs from diabetic PCa patients displayed a borderline association with higher ALDH1 expression (p=0.054) and significantly lower vascular vessel density (p=0.008). Similarly, in patients under 65, PTs from diabetic PCa patients expressed genes linked to decreased angiogenesis. Plasma analyses revealed elevated GDF15 levels in PB (p<0.001), increased TRAP5 concentrations in TDVB (p=0.001), and reduced osteonectin levels in TDVB (p=0.026) in diabetic PCa patients. The studys limitation is the relatively small cohort, especially those with coexisting diabetes type 2. Conclusion and clinical implicationsDiabetes in PCa patients associates with advanced tumor stage, enhanced tumor cell dissemination, impaired vascularization, and distinct circulating biomarker alterations. Vascular alterations from diabetes, with systemic factors, especially in PCa patients under 65, may increase tumor dissemination in PCa. However, exact mechanisms need investigation in larger cohorts of patients. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=134 SRC="FIGDIR/small/720986v1_ufig1.gif" ALT="Figure 1"> View larger version (58K): org.highwire.dtl.DTLVardef@1f5047forg.highwire.dtl.DTLVardef@fa3f43org.highwire.dtl.DTLVardef@14f7765org.highwire.dtl.DTLVardef@27a12d_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Precision single-cell profiling of Circulating Tumour Cells: novel markers and data-driven characterization by CTCeek

Circulating tumour cells (CTCs) represent a minimally invasive method for monitoring cancer evolution in patients. CTCs are nowadays commonly isolated using antibodies against EPCAM protein. A key limitation regards the extent of EPCAM-negative CTCs, such as those that undergo EMT or whose tumour of origin is EPCAM-low or negative. We studied 3,302 RNA single-cell transcriptomes reported as CTCs in public repositories. Using copy number variation and cell type-specific markers, we discriminated bona fide CTCs from contaminating blood cells, often mislabelled as CTCs. The integration of bona fide CTCs and PBMCs, from multiple datasets, allowed us to identify novel markers, such as CLDN4, CLDN7, EFNA1 and TACSTD2 for epithelial CTCs, KCNK15 and LY6K for epithelial B CTCs, and ITGB4 for both epithelial B and mesenchymal CTCs. We revealed PODXL, AXL, CAV1, and TGM2 as markers of mesenchymal CTCs, which might be undetectable using anti-EPCAM antibodies, and TM4SF1 as universal marker, expressed in all CTC subclasses. Additionally, we found platelets to be physically associated with the epithelial A, but not with the epithelial B or the mesenchymal subtypes. Finally, we developed and implemented CTCeek, the first web-based and public reference tool that automatically annotates bona fide CTCs from scRNA-sequencing profiles.

cancer biology↗