Project description:This is a prospective, single-center, clinical study.This study is to evaluate the feasibility of genetic susceptibility screening based on the detection of tumor tissue mutations by a NGS panel.
Project description:Purpose: Mutations in TP53 induce autoantibody immune responses in a subset of cancer patients, which have been proposed as biomarkers for early detection. Here, we investigate the association of p53 specific autoantibodies with multiple tumor subtypes and determine the association with p53 mutation status and epitope specificity. Experimental Design: IgG p53 autoantibodies (p53-AAb), were quantified in 412 serum saples using a programmable ELISA assay from patients with serous ovarian, pancreatic adenocarcinoma, and breast cancer. To determine if patients generated mutation specific autoantibodies we designed a panel of the most relevant 51 p53 point mutant proteins, to be displayed on custom programmable protein microarrays. To determine the epitope specificity we displayed 12 overlapping tiling fragments and 38 N- and C-terminal deletions spanning the length of the wild-type p53 proteins. Results: We detected p53-AAb with sensitivities of 58.8% (ovarian), 22% (pancreatic), 32% (triple negative breast cancer), and 10.2% (HER2+ breast cancer) at 94% specificity. Sera with p53-AAb contained broadly-reactive autoantibodies to 51 displayed p53 mutant proteins, demonstrating a polyclonal response to common epitopes. All p53-AAb displayed broad polyclonal immune response to both continuous and discontinuous epitopes at the N- and C-terminus as well as the DNA binding domain. Conclusion and clinical relevance: In this comprehensive analysis, mutations in tumor p53 induce strong, polyclonal autoantibodies with broadly reactive epitope specificity. The immunoreactivity was compared between 60 pancreactic ductal adenocarcinoma cases and 63 benign pancreatic disease controls against 52 unique mutant p53 and 379 human proteins that were printed on microscope slides. [Contributor] Arizona State University
Project description:Objectives. Ovarian cancer (OC) is the eighth most common cancer and the eighth most common cause of cancer-related death in women. Identification of pathogenic variants in OC tissues is important to predict treatment response. This study aim to evaluate the mutational profile of a patient cohort, negative for BRCA1/2 germinal mutations and Mismatch Repair (MMR) defects, using next generation sequencing approach on DNA from formalin-fixed paraffin-embedded (FFPE) samples. We used a custom NGS panel, targeting 34 cancer related-genes, and analyzed NGS data to identify somatic and germline mutations in Italian patients affected by primary epithelia ovarian cancer.
Project description:Purpose: Mutations in TP53 induce autoantibody immune responses in a subset of cancer patients, which have been proposed as biomarkers for early detection. Here, we investigate the association of p53 specific autoantibodies with multiple tumor subtypes and determine the association with p53 mutation status and epitope specificity. Experimental Design: IgG p53 autoantibodies (p53-AAb), were quantified in 412 serum saples using a programmable ELISA assay from patients with serous ovarian, pancreatic adenocarcinoma, and breast cancer. To determine if patients generated mutation specific autoantibodies we designed a panel of the most relevant 51 p53 point mutant proteins, to be displayed on custom programmable protein microarrays. To determine the epitope specificity we displayed 12 overlapping tiling fragments and 38 N- and C-terminal deletions spanning the length of the wild-type p53 proteins. Results: We detected p53-AAb with sensitivities of 58.8% (ovarian), 22% (pancreatic), 32% (triple negative breast cancer), and 10.2% (HER2+ breast cancer) at 94% specificity. Sera with p53-AAb contained broadly-reactive autoantibodies to 51 displayed p53 mutant proteins, demonstrating a polyclonal response to common epitopes. All p53-AAb displayed broad polyclonal immune response to both continuous and discontinuous epitopes at the N- and C-terminus as well as the DNA binding domain. Conclusion and clinical relevance: In this comprehensive analysis, mutations in tumor p53 induce strong, polyclonal autoantibodies with broadly reactive epitope specificity.
Project description:A Cartes d'Identite des Tumeurs (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net: Anaplastic oligodendrogliomas (AOs) are rare primary brain tumors which are generally incurable with few treatment targets identified. Most oligodendrogliomas have chromosome 1p/19q co-deletion and IDH mutation. We analyzed 51 AOs by whole-exome and/or transcriptome sequencing identifying previously reported frequent somatic mutations in CIC and FUBP1 genes. We also identified recurrent mutations in TCF12 (11% of IDHmut-codel) which encodes basic helix-loop-helix (bHLFH) transcription factor 12 which is an oligodendrocyte-related transcription factor in IDHmut-codel tumors. Strikingly, the somatic mutations (encoding E548R and R602M substitutions) have not been reported previously in cancer but are identical to germline mutations causing craniosynostosis. Incorporating TCGA data on 43 AO tumors also implicates functional mutation of SMARCA4, NOTCH1, NOTCH2, SETD2, RBPJ and ARID1A/1B. These data are compatible with the combined deregulation of metabolism, chromatin organization/remodeling and Notch-pathway genes in AO oncogenesis. Our analysis provides further insights into the unique and shared pathways driving AO and new targets for therapeutic intervention.
Project description:Genetic abnormalities including copy number variants (CNVs, such as gains and losses), and gene mutations are important for diagnosis and treatment of myeloid malignances. In a routine clinical setting, somatic gene mutations are detected by targeted next generation sequencing (NGS), but CNVs are commonly detected by conventional chromosome analysis and fluorescence in situ hybridization (FISH). The aim of this proof-of-principle study was to investigate the feasibility of using a targeted NGS assay to simultaneously detect not only somatic mutations, but also CNVs. Here, we sequenced 406 consecutive patients with myeloid malignancies and performed a head-to-head comparison with the results from conventional clinical assays including conventional chromosome analysis and myeloid FISH to detect CNVs. The targeted NGS assay revealed all 120 CNVs detected by myeloid FISH panel including monosomy 5/5q deletions, monosomy 7/7q deletions, trisomy 8, and 20q deletions. Furthermore, the targeted NGS assay also detected 605 CNVs outsides targeted regions of the myeloid FISH panel, which were revealed by conventional cytogenetic testing. The targeted NGS assay achieved 100% concordance with the myeloid FISH for detection of these common myeloid CNVs, with a high clinical sensitivity (> 99%) and specificity (>99%). The lower limit of detection by the myeloid FISH and the targeted NGS assay was similar and was generally 5% variant allele fraction for DNA. This proof-of-principle study demonstrated that the targeted NGS assay can simultaneously detect both common myeloid CNVs and somatic mutations, which can provide more comprehensive genetic profiling for patients with myeloid malignancies using a single assay.
Project description:Recent genome sequencing efforts have identified millions of somatic mutations in cancer. However, the functional impact of most variants is poorly understood. Here we characterize 194 somatic mutations identified in primary lung adenocarcinomas using L1000 high-throughput gene-expression assays followed by expression-based variant impact phenotyping (eVIP), a method that uses gene expression changes to distinguish impactful from netural somatic mutations. This series represents the main experiment of the study where 8 replicates of wild-type and mutant ORFs are introduced into A549 cell lines.