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Biology subjects

Surakhy, M.

Publications and source records attributed to Surakhy, M..

3 recordsLinked to original sources

Tumour neoantigen repertoire prediction in malignant peripheral nerve sheath tumours define private and public targets for immunotherapy

Malignant peripheral nerve sheath tumours (MPNSTs) are high grade soft-tissue sarcomas with an unmet need for novel therapies. Tumour antigen-based approaches, including neoantigen and tumour-associated antigens (TAA) directed therapies, offer potential opportunities for immunotherapy. Here, we integrated public domain tumour DNA and RNA sequencing data with in-silico predictions in order to characterise the potential (neo)antigenic landscape of MPNST. We stratified the computational predictions across the two known sub-groups of MPNST, those associated without and with Polycomb Repressor Complex 2 (PRC2) loss of function variants (PRC2-Loss). Using pVACtools, computationally identified high-confidence neoantigens based on predicted pMHC affinity were derived from somatic mutations and gene fusions, as well as recurrently overexpressed cell-surface TAAs. All predicted neoantigens were private to individual MPNST cases and across both tumour subtypes. Using ImSig and CIBERSORTx, PRC2-Loss tumours displayed reduced immune infiltration with downregulation of antigen processing and presentation pathways compared to PRC2-WT, confirming known intrinsic constraints to effective neoantigen-directed immune priming. Moreover, PRC2-Loss MPNSTs demonstrated recurrent copy number driven overexpression of cell surface TAAs derived from chromosome 8 amplification, providing potential immunotherapeutic targets that are pMHC independent. Overall, these predictive findings confirm a PRC2-independent private immuno-antigenic peptide repertoire, with an immune resistant MPNST microenvironment in PRC-Loss. These data provide further impetus for personalised functional validation and immune based treatment strategies, including personalised neoantigen vaccines and cell surface protein TAA-directed therapies dependent on PRC2 status.

cancer biology↗

Id1, Spp1 and Pak3 are biomarkers of Smad4 and TGF-β1 dependency in conditional intestinal adenoma, organoids and colorectal cancer.

TGF-{beta} ligand activation suppresses cell growth yet can paradoxically and potently promote cancer invasion and metastasis depending on downstream pathway mutational context. Here, we evaluated the basis of this observation in conditional murine intestinal adenoma models with and without loss of Mothers against decapentaplegic homolog 4 (Smad4), with the aim of identifying TGF-{beta}-BMP-SMAD4 pathway dependent gene expression biomarkers for translational application. Conditional Lgr5-CreERT2 activation in Apcfl/flSmad4fl/flresulted in adenoma formation with recombined homozygote floxed alleles (Apc{Delta}/{Delta}Smad4{Delta}/{Delta}). The adenoma phenotype was discordant, with a reduced small intestinal adenoma burden yet development of large non-metastatic caecal adenoma with nuclear localisation of phospho-Smad2/3. Derived Apc{Delta}/{Delta}Smad4{Delta}/{Delta} adenoma organoids resisted TGF-{beta}1 dose dependent growth arrest and cell death (IC50 534pM) compared to Apc{Delta}/{Delta}Smad4+/+ (IC 24pM). TGF-{beta}1 (390pM) modified adenoma mRNA expression (bulk RNA-Seq) most significantly for Id1low and Spp1high in Apc{Delta}/{Delta}Smad4{Delta}/{Delta}. Single cell RNAseq of caecal adenoma identified expansion of Lgr5low, Pak3high and Id1low progenitor populations in Apc{Delta}/{Delta}Smad4{Delta}/{Delta}. Of the 76 Smad4 and TGF-{beta}1 dependent genes identified in adenoma organoids, 7 human equivalent genes were also significantly differentially expressed in colorectal cancer, including ID1low, SPP1high and PAK3high that also correlated with poorer survival (TCGA cohorts). Murine conditional models identified Smad4 loss of function mRNA expression biomarkers that require further evaluation as functional classifiers of colorectal cancer subtypes.

cancer biology↗

Germline and somatic genetic variants in the p53 pathway interact to affect cancer risk, progression and drug response

Insights into oncogenesis derived from cancer susceptibility loci could facilitate better cancer management and treatment through precision oncology. However, therapeutic applications have thus far been limited by our current lack of understanding regarding both their interactions with somatic cancer driver mutations and their influence on tumorigenesis. Here, by integrating germline datasets relating to cancer susceptibility with tumour data capturing somatically-acquired genetic variation, we provide evidence that single nucleotide polymorphism (SNPs) and somatic mutations in the p53 tumor suppressor pathway can interact to influence cancer development, progression and treatment response. We go on to provide human genetic evidence of a tumor-promoting role for the pro-survival activities of p53, which supports the development of more effective therapy combinations through their inhibition in cancers retaining wild-type p53. SignificanceWe describe significant interactions between heritable and somatic genetic variants in the p53 pathway that affect cancer susceptibility, progression and treatment response. Our results offer evidence of how cancer susceptibility SNPs can interact with cancer driver genes to affect cancer progression and identify novel therapeutic targets.

cancer biology↗