Overlapping SETBP1 gain-of-function mutations in Schinzel-Giedion syndrome and hematologic malignancies

Schinzel-Giedion syndrome (SGS) is a rare developmental disorder characterized by multiple malformations, severe neurological alterations and increased risk of malignancy. SGS is caused by de novo germline mutations clustering to a 12bp hotspot in exon 4 of SETBP1. Mutations in this hotspot disrupt a degron, a signal for the regulation of protein degradation, and lead to the accumulation of SETBP1 protein. Overlapping SETBP1 hotspot mutations have been observed recurrently as somatic events in leukemia. We collected clinical information of 47 SGS patients (including 26 novel cases) with germline SETBP1 mutations and of four individuals with a milder phenotype caused by de novo germline mutations adjacent to the SETBP1 hotspot. Different mutations within and around the SETBP1 hotspot have varying effects on SETBP1 stability and protein levels in vitro and in in silico modeling. Substitutions in SETBP1 residue I871 result in a weak increase in protein levels and mutations affecting this residue are significantly more frequent in SGS than in leukemia. On the other hand, substitutions in residue D868 lead to the largest increase in protein levels. Individuals with germline mutations affecting D868 have enhanced cell proliferation in vitro and higher incidence of cancer compared to patients with other germline SETBP1 mutations. Our findings substantiate that, despite their overlap, somatic SETBP1 mutations driving malignancy are more disruptive to the degron than germline SETBP1 mutations causing SGS. Additionally, this suggests that the functional threshold for the development of cancer driven by the disruption of the SETBP1 degron is higher than for the alteration in prenatal development in SGS. Drawing on previous studies of somatic SETBP1 mutations in leukemia, our results reveal a genotype-phenotype correlation in germline SETBP1 mutations spanning a molecular, cellular and clinical phenotype

Overlapping SETBP1 gain-of-function mutations in Schinzel-Giedion syndrome and hematologic malignancies

Contains fulltext : 174787.pdf (publisher's version ) (Open Access)Schinzel-Giedion syndrome (SGS) is a rare developmental disorder characterized by multiple malformations, severe neurological alterations and increased risk of malignancy. SGS is caused by de novo germline mutations clustering to a 12bp hotspot in exon 4 of SETBP1. Mutations in this hotspot disrupt a degron, a signal for the regulation of protein degradation, and lead to the accumulation of SETBP1 protein. Overlapping SETBP1 hotspot mutations have been observed recurrently as somatic events in leukemia. We collected clinical information of 47 SGS patients (including 26 novel cases) with germline SETBP1 mutations and of four individuals with a milder phenotype caused by de novo germline mutations adjacent to the SETBP1 hotspot. Different mutations within and around the SETBP1 hotspot have varying effects on SETBP1 stability and protein levels in vitro and in in silico modeling. Substitutions in SETBP1 residue I871 result in a weak increase in protein levels and mutations affecting this residue are significantly more frequent in SGS than in leukemia. On the other hand, substitutions in residue D868 lead to the largest increase in protein levels. Individuals with germline mutations affecting D868 have enhanced cell proliferation in vitro and higher incidence of cancer compared to patients with other germline SETBP1 mutations. Our findings substantiate that, despite their overlap, somatic SETBP1 mutations driving malignancy are more disruptive to the degron than germline SETBP1 mutations causing SGS. Additionally, this suggests that the functional threshold for the development of cancer driven by the disruption of the SETBP1 degron is higher than for the alteration in prenatal development in SGS. Drawing on previous studies of somatic SETBP1 mutations in leukemia, our results reveal a genotype-phenotype correlation in germline SETBP1 mutations spanning a molecular, cellular and clinical phenotype

Overlapping SETBP1 gain-of-function mutations in Schinzel-Giedion syndrome and hematologic malignancies

Schinzel-Giedion syndrome (SGS) is a rare developmental disorder characterized by multiple malformations, severe neurological alterations and increased risk of malignancy. SGS is caused by de novo germline mutations clustering to a 12bp hotspot in exon 4 of SETBP1. Mutations in this hotspot disrupt a degron, a signal for the regulation of protein degradation, and lead to the accumulation of SETBP1 protein. Overlapping SETBP1 hotspot mutations have been observed recurrently as somatic events in leukemia. We collected clinical information of 47 SGS patients (including 26 novel cases) with germline SETBP1 mutations and of four individuals with a milder phenotype caused by de novo germline mutations adjacent to the SETBP1 hotspot. Different mutations within and around the SETBP1 hotspot have varying effects on SETBP1 stability and protein levels in vitro and in in silico modeling. Substitutions in SETBP1 residue I871 result in a weak increase in protein levels and mutations affecting this residue are significantly more frequent in SGS than in leukemia. On the other hand, substitutions in residue D868 lead to the largest increase in protein levels. Individuals with germline mutations affecting D868 have enhanced cell proliferation in vitro and higher incidence of cancer compared to patients with other germline SETBP1 mutations. Our findings substantiate that, despite their overlap, somatic SETBP1 mutations driving malignancy are more disruptive to the degron than germline SETBP1 mutations causing SGS. Additionally, this suggests that the functional threshold for the development of cancer driven by the disruption of the SETBP1 degron is higher than for the alteration in prenatal development in SGS. Drawing on previous studies of somatic SETBP1 mutations in leukemia, our results reveal a genotype-phenotype correlation in germline SETBP1 mutations spanning a molecular, cellular and clinical phenotype

RBBP6 interactome: RBBP6 isoform 3/DWNN and Nek6 interaction is critical for cell cycle regulation and may play a role in carcinogenesis

Supplementary Material: Fig. S1. Comparison of the Ramachandran plots for Nek 7 as determined by crystallography and the Nek6 models using Nek 7 as a templateFig. S2. Structure of wild-type RBBP5 isoform 3 compared to mutant forms of the protein: (A) The wild type RBBP6 isoform 3 structure as determined by NMR. The protein has 7 Beta sheets and one alpha helix. (B) A 3D model of the S25A mutant of RBBP6 isoform 3 and (C) the 3D model of the T49A mutant of RBBP6 isoform 3, show that the amino acid substitutions in the mutant proteins had no significant effect on the overall structure of the protein. Like the wild type protein, the mutants all contain 7 Beta sheets and one alpha helixRBBP6 is a multidomain protein, with four splice variants translated into four functional isoforms. RBBP6 isoform 1 has been reported to interact with TP53 and pRb as well as with proteins that regulate transcriptional response to tumorigenesis such as HDM2, ZBTB38, YBX1 and NEK6. Experimental validation of isoforms 2 and 4 is yet to be conducted. The third isoform, consisting of only the DWNN domain and a short unordered c terminus, has been shown to be down-regulated in several human cancers and demonstrated as a regulator of G2/M cell cycle arrest. A number of studies have supported the role of DWNN in cell cycle regulation, however, its mechanism in these processes remains obscure. Posttranslational modification of DWNN could be critical for its function and this study was formulated to understand how the DWNN regulates the cell cycle. Our study identified 12 cell cycle-related proteins interacting with DWNN using various bioinformatics tools. We also identified 10 ubiquitin ligases that interact with DWNN. The most relevant interacting partner, the cell cycle regulator Nek6, has been reported to interact with DWNN during the cell cycle. It was therefore critical to interrogate the interaction between Nek6 and DWNN by homology modelling and docking. The DWNN mutants had a reduced affinity for NEK6 with at least one of the mutants having changes that affect at least one phosphorylation site. It is likely that NEK6 promotes cell proliferation by phosphorylating DWNN. This work suggests that DWNN co-regulates RNA splicing, ubiquitination, and cell cycle control. DWNN may therefore, be targeted for novel anticancer therapies through cell cycle regulation.The South African Medical Research Council (SAMRC) and the National Research Foundation (NRF).https://http//www.elsevier.com/locate/imuhj2021Obstetrics and Gynaecolog