The progress in translational cancer research relies on access to well-characterized samples from a representative number of patients and controls. The rationale behind our biobanking are explorations of post-zygotic pathogenic gene variants, especially in non-tumoral tissue, which might predispose to cancers. The targeted diagnoses are carcinomas of the breast (via mastectomy or breast conserving surgery), colon and rectum, prostate, and urinary bladder (via cystectomy or transurethral resection), exocrine pancreatic carcinoma as well as metastases of colorectal cancer to the liver. The choice was based on the high incidence of these cancers and/or frequent fatal outcome. We also collect age-matched normal controls. Our still ongoing collection originates from five clinical centers and after nearly 2-year cooperation reached 1711 patients and controls, yielding a total of 23226 independent samples, with an average of 74 donors and 1010 samples collected per month. The predominant diagnosis is breast carcinoma, with 933 donors, followed by colorectal carcinoma (383 donors), prostate carcinoma (221 donors), bladder carcinoma (81 donors), exocrine pancreatic carcinoma (15 donors) and metachronous colorectal cancer metastases to liver (14 donors). Forty percent of the total sample count originates from macroscopically healthy cancer-neighboring tissue, while contribution from tumors is 12%, which adds to the uniqueness of our collection for cancer predisposition studies. Moreover, we developed two program packages, enabling registration of patients, clinical data and samples at the participating hospitals as well as the central system of sample/data management at coordinating center. The approach used by us may serve as a model for dispersed biobanking from multiple satellite hospitals. Our biobanking resource ought to stimulate research into genetic mechanisms underlying the development of common cancers. It will allow all available “-omics” approaches on DNA-, RNA-, protein- and tissue levels to be applied. The collected samples can be made available to other research groups.
The CD83 molecule is a known marker of dendritic cell differentiation process, and its soluble form (sCD83) exerts immunosuppressive functions. In our research, we examined whether the sCD83 plasma concentration is impaired in DM1 children and if the expected changes are in line with the disturbed process of monocyte's transformation into mCD83 + monocyte-derived cells. 28 newly diagnosed (ND-DM1) and 30 long-standing (LS-DM1) patients were enrolled into our study. We revealed that the examined cells show a high mCD83 expression level in ND-DM1, which was significantly downregulated by the TNF-α stimulation. The results were in line with those from healthy controls. We also observed that monocyte differentiation process into CD83 + cells was much defective in LS-DM1 children and the mCD83 expression level seems not to be controlled by TNF-α. Moreover, the sCD83 level was significantly decreased in plasma from LS-DM1 children and it was negatively related to HbA1c levels, while no correlations were observed between TNF-α plasma concentration or disease duration. Summarizing, our results suggest that reduced sCD83 levels may correspond with a poor metabolic control in LS-DM1 patients and therapeutic administration of this molecule may indicate a new therapy approach in the chronic phase of diabetes.
Numeric sex chromosome abnormalities are commonly associated with an increased cancer risk. Here, we report a 14-year-old boy with a rare mosaic 45, X/48, XYYY karyotype presenting with subtle dysmorphic features and relative height deficiency, requiring growth hormone therapy. As only 12 postnatal cases have been described so far with very limited follow-up data, to assess the proband’s long-term prognosis, including cancer risk, we performed high-throughput single-cell RNA sequencing (scRNA-seq) analysis. Although comprehensive cytogenetic analysis showed seemingly near perfect balance between 45, X and 48, XYYY cell populations, scRNA-seq revealed widespread differences in genotype distribution among immune cell fractions, specifically in monocytes, B- and T-cells. These results were confirmed at DNA level by digital-droplet PCR on flow-sorted immune cell types. Furthermore, deregulation of predominantly autosomal genes was observed, including TCL1A overexpression in 45, X B-lymphocytes and other known genes associated with hematological malignancies. Together with the standard hematological results, showing increased fractions of monocytes and CD4+/CD8+T lymphocytes ratio, long-term personalized hemato-oncological surveillance was recommended in the reported patient.
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