Allogén vérképzőőssejt-átültetés Magyarországon

INTRODUCTION AND AIM: The publication summarizes the 2548 stem cell transplantations performed in the period of 1993-2015 in Szent Laszlo Hospital, Budapest and provides a detailed discussion of the 425 allogeneic transplantations during 2007-2013. METHOD: The analysis explains the major steps of the evolution of allogeneic stem cell transplantation and compares the results of the unique Hungarian allogeneic center. RESULTS: The significant shift in the transplantation indications from chronic myeloid leukemia to myelodysplastic syndromes and the rising age of the recipients are in line with world wide tendencies. The latter one is the consequence of the introduction and improvement of the concept of reduced intensity conditioning regimens, originally arising from the idea of Endre Kelemen. The most limiting factor, the donor availability seems to be resolved with the use of a new immunomodulating regimen, the application of posttransplantation cyclophosphamide, which allows the transplantation through HLA barriers with haploidentical family donors with comparable results to the HLA matched volunteer unrelated donors. The above mentioned tendencies result the wider use of allogeneic stem cell transplantation less dependent from recipient age, comorbidities and even donor availability. CONCLUSIONS: The publication highlights the need of expanding the stem cell transplantation budget and the involvement of new centers in Hungary in allogeneic of stem cell transplantation. Orv. Hetil., 2017, 158(8), 291-297

PP13, Maternal ABO Blood Groups and the Risk Assessment of Pregnancy Complications

Placental Protein 13 (PP13), an early biomarker of preeclampsia, is a placenta-specific galectin that binds beta-galactosides, building-blocks of ABO blood-group antigens, possibly affecting its bioavailability in blood.We studied PP13-binding to erythrocytes, maternal blood-group effect on serum PP13 and its performance as a predictor of preeclampsia and intrauterine growth restriction (IUGR). Datasets of maternal serum PP13 in Caucasian (n = 1078) and Hispanic (n = 242) women were analyzed according to blood groups. In vivo, in vitro and in silico PP13-binding to ABO blood-group antigens and erythrocytes were studied by PP13-immunostainings of placental tissue-microarrays, flow-cytometry of erythrocyte-bound PP13, and model-building of PP13--blood-group H antigen complex, respectively. Women with blood group AB had the lowest serum PP13 in the first trimester, while those with blood group B had the highest PP13 throughout pregnancy. In accordance, PP13-binding was the strongest to blood-group AB erythrocytes and weakest to blood-group B erythrocytes. PP13-staining of maternal and fetal erythrocytes was revealed, and a plausible molecular model of PP13 complexed with blood-group H antigen was built. Adjustment of PP13 MoMs to maternal ABO blood group improved the prediction accuracy of first trimester maternal serum PP13 MoMs for preeclampsia and IUGR.ABO blood group can alter PP13-bioavailability in blood, and it may also be a key determinant for other lectins' bioavailability in the circulation. The adjustment of PP13 MoMs to ABO blood group improves the predictive accuracy of this test

Sequencing of prostate cancers identifies new cancer genes, routes of progression and drug targets

Prostate cancer represents a substantial clinical challenge because it is difficult to predict outcome and advanced disease is often fatal. We sequenced the whole genomes of 112 primary and metastatic prostate cancer samples. From joint analysis of these cancers with those from previous studies (930 cancers in total), we found evidence for 22 previously unidentified putative driver genes harboring coding mutations, as well as evidence for NEAT1 and FOXA1 acting as drivers through noncoding mutations. Through the temporal dissection of aberrations, we identified driver mutations specifically associated with steps in the progression of prostate cancer, establishing, for example, loss of CHD1 and BRCA2 as early events in cancer development of ETS fusion-negative cancers. Computational chemogenomic (canSAR) analysis of prostate cancer mutations identified 11 targets of approved drugs, 7 targets of investigational drugs, and 62 targets of compounds that may be active and should be considered candidates for future clinical trials

Appraising the relevance of DNA copy number loss and gain in prostate cancer using whole genome DNA sequence data.

A variety of models have been proposed to explain regions of recurrent somatic copy number alteration (SCNA) in human cancer. Our study employs Whole Genome DNA Sequence (WGS) data from tumor samples (n = 103) to comprehensively assess the role of the Knudson two hit genetic model in SCNA generation in prostate cancer. 64 recurrent regions of loss and gain were detected, of which 28 were novel, including regions of loss with more than 15% frequency at Chr4p15.2-p15.1 (15.53%), Chr6q27 (16.50%) and Chr18q12.3 (17.48%). Comprehensive mutation screens of genes, lincRNA encoding sequences, control regions and conserved domains within SCNAs demonstrated that a two-hit genetic model was supported in only a minor proportion of recurrent SCNA losses examined (15/40). We found that recurrent breakpoints and regions of inversion often occur within Knudson model SCNAs, leading to the identification of ZNF292 as a target gene for the deletion at 6q14.3-q15 and NKX3.1 as a two-hit target at 8p21.3-p21.2. The importance of alterations of lincRNA sequences was illustrated by the identification of a novel mutational hotspot at the KCCAT42, FENDRR, CAT1886 and STCAT2 loci at the 16q23.1-q24.3 loss. Our data confirm that the burden of SCNAs is predictive of biochemical recurrence, define nine individual regions that are associated with relapse, and highlight the possible importance of ion channel and G-protein coupled-receptor (GPCR) pathways in cancer development. We concluded that a two-hit genetic model accounts for about one third of SCNA indicating that mechanisms, such haploinsufficiency and epigenetic inactivation, account for the remaining SCNA losses.We acknowledge support from Cancer Research UK (C5047/A22530, C309/A11566, C368/A6743, A368/A7990, C14303/A17197) and the Dallaglio Foundation. We also acknowledge support from the National Institute of Health Research (NIHR) (The Biomedical Research Centre at The Institute of Cancer Research & The Royal Marsden NHS Foundation Trust and the project "Prostate Cancer: Mechanisms of Progression and Treatment (PROMPT)" [G0500966/75466]). We thank the Wellcome Trust, Bob Champion Cancer Trust, The Orchid Cancer appeal, The RoseTrees Trust, The North West Cancer Research Fund, Big C, The King family, and The Masonic Charitable Foundation for funding. This research is supported by the Francis Crick Institute which receives its core funding from Cancer Research UK (FC001202), the UK Medical Research Council (FC001202), and the Wellcome Trust (FC001202). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

Mutational signatures of ionizing radiation in second malignancies

Ionizing radiation is a potent carcinogen, inducing cancer through DNA damage. The signatures of mutations arising in human tissues following in vivo exposure to ionizing radiation have not been documented. Here, we searched for signatures of ionizing radiation in 12 radiation-associated second malignancies of different tumour types. Two signatures of somatic mutation characterize ionizing radiation exposure irrespective of tumour type. Compared with 319 radiation-naive tumours, radiation-associated tumours carry a median extra 201 deletions genome-wide, sized 1-100 base pairs often with microhomology at the junction. Unlike deletions of radiation-naive tumours, these show no variation in density across the genome or correlation with sequence context, replication timing or chromatin structure. Furthermore, we observe a significant increase in balanced inversions in radiation-associated tumours. Both small deletions and inversions generate driver mutations. Thus, ionizing radiation generates distinctive mutational signatures that explain its carcinogenic potential.This work was supported by funding from the Wellcome Trust (grant reference 077012/Z/05/Z), Skeletal Cancer Action Trust, Rosetrees Trust UK, Bone Cancer Research Trust, the RNOH NHS Trust, the National Institute for Health Research Health Protection Research Unit in Chemical and Radiation Hazards and Threats at Newcastle University in partnership with Public Health England. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, the Department of Health or Public Health England. Tissue was obtained from the RNOH Musculoskeletal Research Programme and Biobank, co-ordinated by Mrs Deidre Brooking and Mrs Ru Grinnell, Biobank staff, RNOH. Support was provided to AMF by the National Institute for Health Research, UCLH Biomedical Research Centre, and the CRUK UCL Experimental Cancer Centre. S.N.Z. and S.B. are personally funded through Wellcome Trust Intermediate Clinical Research Fellowships, P.J.C. through a Wellcome Trust Senior Clinical Research Fellowship

Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

MRE11 as a Predictive Biomarker of Outcome After Radiation Therapy in Bladder Cancer

Funding Information: Disclosures: S.B., L.B., A.C., E.H., R.H., N.J., A.E.K., V.S., and C.W. report grant funding from Cancer Research UK during the conduct of the study. A.C. is a Senior Editor of IJROBP and reports nonfinancial support from ASCO and ESTRO; personal fees and nonfinancial support from Bayer PLC; grants from Prostate Cancer UK, Medical Research Council UK, and National Institute for Health Research UK; grants, personal fees, and nonfinancial support from Elekta AB; and personal fees from ASTRO, outside the submitted work. E.H. reports grants from Merck Sharp & Dohm, grants and nonfinancial support from AstraZeneca, grants from Janssen-Cilag, grants and nonfinancial support from Bayer, grants from Aventis Pharma Limited (Sanofi), and grants from Accuray Inc., outside the submitted work. R.H. reports grants and personal fees from MSD and Roche; personal fees from Bristol Myers Squibb and Janssen; and grants from Elekta, outside the submitted work. G.I. reports personal fees from Bayer Pharmaceuticals, outside the submitted work.This work was funded by CRUK Biomarkers and Imaging Discovery and Development grant (C15140/A13492). The BC2001 trial was supported by grants (C547/A2606, C547/A6845, C9764/A9904, and C1491/A9895) from Cancer Research UK. The work was also supported by CRUK grant C2094/A11365, CRUK grant C5529/A16895, CRUK grant C5255/A15935, an MRC studentship MR/K501256/1, CRUK funding to the Cancer Research Manchester Centre (C147/A18083, C147/A25254), the NIHR Manchester, NIHR Oxford (Molecular Diagnostics Theme/Multimodal Pathology Theme), and Royal Marsden/Institute of Cancer Research Biomedical Research Centres. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. Disclosures: S.B., L.B., A.C., E.H., R.H., N.J., A.E.K., V.S., and C.W. report grant funding from Cancer Research UK during the conduct of the study. A.C. is a Senior Editor of IJROBP and reports nonfinancial support from ASCO and ESTRO; personal fees and nonfinancial support from Bayer PLC; grants from Prostate Cancer UK, Medical Research Council UK, and National Institute for Health Research UK; grants, personal fees, and nonfinancial support from Elekta AB; and personal fees from ASTRO, outside the submitted work. E.H. reports grants from Merck Sharp & Dohm, grants and nonfinancial support from AstraZeneca, grants from Janssen-Cilag, grants and nonfinancial support from Bayer, grants from Aventis Pharma Limited (Sanofi), and grants from Accuray Inc., outside the submitted work. R.H. reports grants and personal fees from MSD and Roche; personal fees from Bristol Myers Squibb and Janssen; and grants from Elekta, outside the submitted work. G.I. reports personal fees from Bayer Pharmaceuticals, outside the submitted work. This work was funded by CRUK Biomarkers and Imaging Discovery and Development grant ( C15140/A13492). The BC2001 trial was supported by grants (C547/A2606, C547/A6845, C9764/A9904, and C1491/A9895) from Cancer Research UK. The work was also supported by CRUK grant C2094/A11365, CRUK grant C5529/A16895, CRUK grant C5255/A15935, an MRC studentship MR/K501256/1, CRUK funding to the Cancer Research Manchester Centre ( C147/A18083, C147/A25254), the NIHR Manchester, NIHR Oxford (Molecular Diagnostics Theme/Multimodal Pathology Theme), and Royal Marsden/ Institute of Cancer Research Biomedical Research Centres. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. Publisher Copyright: © 2019 The AuthorsPeer reviewe