ArticlePloS one2019
Multiscale, multimodal analysis of tumor heterogeneity in IDH1 mutant vs wild-type diffuse gliomas.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 40 citations in OpenAlex.
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- Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.Proceedings of machine learning research · 2024Article
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- Hydroxymethylation alterations in progenitor-like cell types of pediatric central nervous system tumors are associated with cell type-specific transcriptional changes.Research square · 2023Article
- Topological-Preserving Membrane Skeleton Segmentation in Multiplex Immunofluorescence Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Article
- MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.Medical optical imaging and virtual microscopy image analysis : first International Workshop, MOVI 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. MOVI (Workshop) (1st : 2022 : Singapore) · 2022Article
- Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level.Frontiers in oncology · 2022Review
- FDG-PET/CT in colorectal cancer: potential for vascular-metabolic imaging to provide markers of prognosis.European journal of nuclear medicine and molecular imaging · 2021Observational
- A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma.British journal of cancer · 2021Article
- In Situ Classification of Cell Types in Human Kidney Tissue Using 3D Nuclear Staining.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021Article
- The Value of Enhanced MR Radiomics in Estimating the IDH1 Genotype in High-Grade Gliomas.BioMed research international · 2020Article
Corrections and comments
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Authors and funding
28 authors at 6 institutions in 1 country.
Funding
Abstract
Glioma is recognized to be a highly heterogeneous CNS malignancy, whose diverse cellular composition and cellular interactions have not been well characterized. To gain new clinical- and biological-insights into the genetically-bifurcated IDH1 mutant (mt) vs wildtype (wt) forms of glioma, we integrated data from protein, genomic and MR imaging from 20 treatment-naïve glioma cases and 16 recurrent GBM cases. Multiplexed immunofluorescence (MxIF) was used to generate single cell data for 43 protein markers representing all cancer hallmarks, Genomic sequencing (exome and RNA (normal and tumor) and magnetic resonance imaging (MRI) quantitative features (protocols were T1-post, FLAIR and ADC) from whole tumor, peritumoral edema and enhancing core vs equivalent normal region were also collected from patients. Based on MxIF analysis, 85,767 cells (glioma cases) and 56,304 cells (GBM cases) were used to generate cell-level data for 24 biomarkers. K-means clustering was used to generate 7 distinct groups of cells with divergent biomarker profiles and deconvolution was used to assign RNA data into three classes. Spatial and molecular heterogeneity metrics were generated for the cell data. All features were compared between IDH mt and IDHwt patients and were finally combined to provide a holistic/integrated comparison. Protein expression by hallmark was generally lower in the IDHmt vs wt patients. Molecular and spatial heterogeneity scores for angiogenesis and cell invasion also differed between IDHmt and wt gliomas irrespective of prior treatment and tumor grade; these differences also persisted in the MR imaging features of peritumoral edema and contrast enhancement volumes. A coherent picture of enhanced angiogenesis in IDHwt tumors was derived from multiple platforms (genomic, proteomic and imaging) and scales from individual proteins to cell clusters and heterogeneity, as well as bulk tumor RNA and imaging features. Longer overall survival for IDH1mt glioma patients may reflect mutation-driven alterations in cellular, molecular, and spatial heterogeneity which manifest in discernable radiological manifestations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.