ArticleCancer research2018
Utility of Single-Cell Genomics in Diagnostic Evaluation of Prostate Cancer.
Article in Cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
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- Dietary pro-oxidant therapy by a vitamin K precursor targets PI 3-kinase VPS34 function.Science (New York, N.Y.) · 2024Article
- Machine learning approaches for spatial omics data analysis in digital pathology: tools and applications in genitourinary oncology.Frontiers in oncology · 2024Review
- FABP5 Inhibition againstCancers · 2023Article
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- Prostate zones and cancer: lost in transition?Nature reviews. Urology · 2022Review
- Accurate genomic variant detection in single cells with primary template-directed amplification.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Genomic and phenotypic heterogeneity in prostate cancer.Nature reviews. Urology · 2021Review
- Identification of marker genes and cell subtypes in castration-resistant prostate cancer cells.Journal of Cancer · 2021Article
- Genomic Analysis of Hematopoietic Stem Cell at the Single-Cell Level: Optimization of Cell Fixation and Whole Genome Amplification (WGA) Protocol.International journal of molecular sciences · 2020Article
- Article
- Integrated Computational Pipeline for Single-Cell Genomic Profiling.JCO clinical cancer informatics · 2020Article
- Advancing Cancer Research and Medicine with Single-Cell Genomics.Cancer cell · 2020Review
- Copolymerization of single-cell nucleic acids into balls of acrylamide gel.Genome research · 2020Article
- Single-Cell Applications of Next-Generation Sequencing.Cold Spring Harbor perspectives in medicine · 2019Review
- SMURF-seq: efficient copy number profiling on long-read sequencers.Genome biology · 2019Article
- A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data.BMC systems biology · 2019Article
- Prostate cancer: Singled out: single-cell genomics for diagnosis.Nature reviews. Urology · 2018Article
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25 authors.
Funding
Abstract
A distinction between indolent and aggressive disease is a major challenge in diagnostics of prostate cancer. As genetic heterogeneity and complexity may influence clinical outcome, we have initiated studies on single tumor cell genomics. In this study, we demonstrate that sparse DNA sequencing of single-cell nuclei from prostate core biopsies is a rich source of quantitative parameters for evaluating neoplastic growth and aggressiveness. These include the presence of clonal populations, the phylogenetic structure of those populations, the degree of the complexity of copy-number changes in those populations, and measures of the proportion of cells with clonal copy-number signatures. The parameters all showed good correlation to the measure of prostatic malignancy, the Gleason score, derived from individual prostate biopsy tissue cores. Remarkably, a more accurate histopathologic measure of malignancy, the surgical Gleason score, agrees better with these genomic parameters of diagnostic biopsy than it does with the diagnostic Gleason score and related measures of diagnostic histopathology. This is highly relevant because primary treatment decisions are dependent upon the biopsy and not the surgical specimen. Thus, single-cell analysis has the potential to augment traditional core histopathology, improving both the objectivity and accuracy of risk assessment and inform treatment decisions.
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Registered trials
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