Diagnostic value of H3F3A mutations in giant cell tumour of bone compared to osteoclast-rich mimics

Driver mutations in the two histone 3.3 (H3.3) genes, H3F3A and H3F3B, were recently identified by whole genome sequencing in 95% of chondroblastoma (CB) and by targeted gene sequencing in 92% of giant cell tumour of bone (GCT). Given the high prevalence of these driver mutations, it may be possible to utilise these alterations as diagnostic adjuncts in clinical practice. Here, we explored the spectrum of H3.3 mutations in a wide range and large number of bone tumours (n 5 412) to determine if these alterations could be used to distinguish GCT from other osteoclast-rich tumours such as aneurysmal bone cyst, nonossifying fibroma, giant cell granuloma, and osteoclast-rich malignant bone tumours and others. In addition, we explored the driver landscape of GCT through whole genome, exome and targeted sequencing (14 gene panel). We found that H3.3 mutations, namely mutations of glycine 34 in H3F3A, occur in 96% of GCT. We did not find additional driver mutations in GCT, including mutations in IDH1, IDH2, USP6, TP53. The genomes of GCT exhibited few somatic mutations, akin to the picture seen in CB. Overall our observations suggest that the presence of H3F3A p.Gly34 mutations does not entirely exclude malignancy in osteoclast-rich tumours. However, H3F3A p.Gly34 mutations appear to be an almost essential feature of GCT that will aid pathological evaluation of bone tumours, especially when confronted with small needle core biopsies. In the absence of H3F3A p.Gly34 mutations, a diagnosis of GCT should be made with caution.

Next-generation sequencing is highly sensitive for the detection of beta-catenin mutations in desmoid-type fibromatoses

Desmoid-type fibromatoses are locally aggressive and frequently recurrent tumours, and an accurate diagnosis is essential for patient management. The majority of sporadic lesions harbour beta-catenin (CTNNB1) mutations. We used next-generation sequencing to detect CTNNB1 mutations and to compare the sensitivity and specificity of next-generation sequencing with currently employed mutation detection techniques: mutation-specific restriction enzyme digestion and polymerase chain reaction amplification. DNA was extracted from formalin-fixed paraffin-embedded needle biopsy or resection tissue sections from 144 patients with sporadic desmoid-type fibromatoses, four patients with syndrome-related desmoid-type fibromatoses and 11 morphological mimics. Two primer pairs were designed for CTNNB1 mutation hotspots. Using ≥10 ng of DNA, libraries were generated by Fluidigm and sequenced on the Ion Torrent Personal Genome Machine. Next-generation sequencing had a sensitivity of 92.36 % (133/144, 95 % CIs: 86.74 to 96.12 %) and a specificity of 100 % for the detection of CTNNB1 mutations in desmoid-type fibromatoses-like spindle cell lesions. All mutations detected by mutation-specific restriction enzyme digestion were identified by next-generation sequencing. Next-generation sequencing identified additional mutations in 11 tumours that were not detected by mutation-specific restriction enzyme digestion, two of which have not been previously described. Next-generation sequencing is highly sensitive for the detection of CTNNB1 mutations. This multiplex assay has the advantage of detecting additional mutations compared to those detected by mutation-specific restriction enzyme digestion (sensitivity 82.41 %). The technology requires minimal DNA and is time- and cost-efficient.

Effect of Short-Chain Fatty Acid Acetate on Colon Cancer

Acetate is a short chain fatty acid produced as a result of fermentation of ingested fibers by the gut microbiota. While it has been shown to reduce cell proliferation in some cancer cell lines1,2, more recent studies on liver3 and brain4 tumours suggest that acetate may actually promote tumour growth. Acetate in the cell is normally converted into acetyl-coA by two enzymes and metabolized; mitochondrial (ACSS1) and cytosolic (ACSS2) acetyl-coA synthetase. In the mitochondria acetyl-coA is utilized in the TCA cycle. In the cytosol it is utilized in lipid synthesis. In this study, the effect of acetate treatment on the growth of HT29 colon cancer cell line and its mechanism of action was assessed. HT29 human colorectal adenocarcinoma cells were treated with 10mM NaAc and cell viability, cellular bioenergetics and gene expression were investigated. Cell viability was assessed 24 hours after treatment using an MTT assay (Sigma, UK, n=8). Cellular oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) was measured by XFe Analyzer (Seahorse Bioscience, USA). After a baseline reading cells were treated and OCR and ECAR measurements were observed for 18 hours (n=4). Total mRNA was isolated 24 hours after treatment using RNeasy kit (Qiagen, USA). Quantitative PCR reactions were performed using Taqman gene expression assays and Taqman Universal PCR Master Mix (ThermoFisher Scientific, UK) on Applied Biosystems 7500 Fast Real-Time PCR System (Life Technologies, USA) and analysed using ΔΔCt method (n=3). Acetate treatment led to a significant reduction in cell viability (15.9%, Figure 1). OCR, an indicator of oxidative phosphorylation, was significantly increased (p<0.0001) while ECAR, an indicator of glycolysis, was significantly reduced (p<0.0001, Figure 2). Gene expression of ACSS1 was increased by 1.7 fold of control (p=0.07) and ACSS2 expression was reduced to 0.6 fold of control (p=0.06, Figure 3). In conclusion, in colon cancer cells acetate supplementation induces cell death and increases oxidative capacity. These changes together with the trending decrease in ACSS2 expression suggest suppression of lipid synthesis pathways. We hypothesize that the reduced tumor growth by acetate is a consequence of the suppression of ACSS2 and lipid synthesis, both effects reported previously to reduce tumor growth3–5. These effects clearly warrant further investigation.