Clinical subtyping of cancer from plasma based on comprehensive epigenomic profiling
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ABSTRACT:
PROVIDER: PRJNA1018575 | ENA |
REPOSITORIES: ENA
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Project description:While circulating tumor DNA (ctDNA) assays are increasingly used to inform clinical decisions in cancer care, they have limited ability to identify the transcriptional programs that govern cancer phenotypes and their dynamic changes during the course of disease. To address these limitations, we developed a method for comprehensive epigenomic profiling of cancer from 1mL of patient plasma. Using an immunoprecipitation-based approach targeting histone modifications and DNA methylation, we measured 1,268 epigenomic profiles in plasma from 433 individuals with one of 15 cancers. Our assay provided a robust proxy for transcriptional activity, allowing us to infer the expression levels of diagnostic markers and drug targets, measure the activity of therapeutically targetable transcription factors, and detect epigenetic mechanisms of resistance. This proof-of-concept study in advanced cancers shows how plasma epigenomic profiling could unlock clinically actionable information that is currently accessible only via direct tissue sampling.
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Project description:The GUSTO clinical trial (Gene expression subtypes of Urothelial carcinoma: Stratified Treatment and Oncological outcomes) uses molecular subtypes to guide neoadjuvant therapies in participants with muscle-invasive bladder cancer (MIBC). Before commencing the GUSTO trial, we needed to determine the reliability of a commercial subtyping platform (Decipher Bladder; Veracyte) when performed in an external trial laboratory as this has not been done previously. Here we report our pre-trial verification of the TCGA molecular subtyping model using gene expression profiling. Formalin fixed paraffin embedded tissue blocks of MIBC were used for gene expression subtyping by gene expression microarrays. Intra- and inter-laboratory technical reproducibility, together with quality control of laboratory and bioinformatics processes were assessed. Eighteen samples underwent analysis. RNA of sufficient quality and quantity was successfully extracted from all samples. All subtypes were represented in the cohort. Each sample was subtyped twice in our laboratory and once in a separate reference laboratory. No clinically significant discordance in subtype occurred between intra- or inter-laboratory replicates. Examination of sample histopathology showed variability of morphological appearances within and between subtypes. Overall, these results show that molecular subtyping by gene expression profiling is reproducible, robust, and suitable for use in the GUSTO clinical trial.
2024-01-18 | GSE253531 | GEO
Project description:miRNAs are kown to be deeply involved in the progression of chronic inflammatory diseases. We comprehensively analyzed miRNAs in human plasma from AD(atopic dermatitis) and ACD(allergic conjunctival disease) patients. We performed a comprehensive human plasma miRNA analysis and identified significantly up-regulated miRNAs in both AD (atopic dermatitis) and ACD (allergic conjunctival disease).
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Project description:Breast cancer was one of the first cancer types where molecular subtyping led to explanation of interpersonal heterogeneity and resulted in improvement of treatment regimen. Several multigene classifiers have been developed and in particular those defining molecular signatures of early breast cancers possess significant prognostic information. Hence since 2014, molecular subtyping of primary breast cancers was implemented as a part of routine diagnostics with direct impact of therapy assignment. In this study, we evaluate direct and potential benefits of molecular subtyping in low-risk breast cancers as well as present the advantages of a robust molecular signature in regard to patient work-up among high-risk breast cancers.
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Project description:Cardiac amyloidosis is a severe clinical condition leading to restrictive cardiomyopathy and heart failure. With increasing options for specific treatment of different cardiac amyloid diseases, correct amyloid subtyping is essential for clinical outcome. Mass spectrometry-based methods for cardiac amyloid subtyping have become important diagnostic tools but are currently used only in a few reference laboratories. Such methods typically include laser-capture microdissection to ensure the specific analysis of amyloid deposits. While this strategy effectively reduces background signals, it is a labor-intensive and costly procedure hampering the implementation of these methods into a wider group of laboratories. Here we introduce a more direct proteomics-based method for subtyping of cardiac amyloids. Endomyocardial biopsies were retrospectively analyzed from fresh frozen material of 78 patients with cardiac amyloidosis and from 12 biopsies of unused donor heart explants. Cryostat sections were directly digested with trypsin and analyzed with the nano-liquid chromatography (nLC-MS/MS), and the data were evaluated by a proteomic software. With a diagnostic threshold set to 70% for each of the four most common amyloid proteins affecting the heart (LC k, LC l, TTR and SAA), 65 of the cases (87%) could be diagnosed, and of these, 61 cases (94%) were in concordance with the original diagnoses. The specimens were also analyzed for the summed intensities of the amyloid signature proteins (ApoE, ApoA-IV and SAP). The summed intensities were significantly higher (p<0.001) for all assigned amyloid cases, whereas unassigned cases were not significantly different from controls and had lower signals than the assigned cases (p<0.001), suggesting that signature proteins can serve as in situ quality markers of cardiac amyloid deposits. We argue that this efficient workflow can be useful for disseminating proteomics for cardiac amyloid subtyping into accredited clinical laboratories.
2022-10-27 | PXD033168 | Pride