ReviewClinical and translational science2018
Opportunities and Challenges in Implementation of Multiparameter Single Cell Analysis Platforms for Clinical Translation.
Review in Clinical and translational science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Precision cardiovascular medicine: shifting the innovation paradigm.Frontiers in science · 2025Article
- Spatiotemporal architecture of immune cells and cancer-associated fibroblasts in high-grade serous ovarian carcinoma.Science advances · 2024Article
- An Inflection Point in Cancer Protein Biomarkers: What was and What's Next.Molecular & cellular proteomics : MCP · 2023Article
- High throughput isolation of RNA from single-cells within an intact tissue for spatial and temporal sequencing a reality.PloS one · 2023Article
- Developments of Conventional and Microfluidic Flow Cytometry Enabling High-Throughput Characterization of Single Cells.Biosensors · 2022Review
- Update Breast Cancer 2022 Part 1 - Early Stage Breast Cancer.Geburtshilfe und Frauenheilkunde · 2022Article
- National Cancer Institute Alliance for nanotechnology in cancer-Catalyzing research and translation toward novel cancer diagnostics and therapeutics.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2019Review
- A Flow Cytometric Method for Isolating Cystic Fibrosis Airway Macrophages from Expectorated Sputum.American journal of respiratory cell and molecular biology · 2019Article
- Modeling the Effect of the Metastatic Microenvironment on Phenotypes Conferred by Estrogen Receptor Mutations Using a Human Liver Microphysiological System.Scientific reports · 2019Article
- Harnessing Human Microphysiology Systems as Key Experimental Models for Quantitative Systems Pharmacology.Handbook of experimental pharmacology · 2019Article
- Selection and optimization of enzyme reporters for chemical cytometry.Methods in enzymology · 2019Article
- Can computational modeling help in personalizing the care of patients with pancreatic ductal adenocarcinoma?Annals of pancreatic cancer · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The high-content interrogation of single cells with platforms optimized for the multiparameter characterization of cells in liquid and solid biopsy samples can enable characterization of heterogeneous populations of cells ex vivo. Doing so will advance the diagnosis, prognosis, and treatment of cancer and other diseases. However, it is important to understand the unique issues in resolving heterogeneity and variability at the single cell level before navigating the validation and regulatory requirements in order for these technologies to impact patient care. Since 2013, leading experts representing industry, academia, and government have been brought together as part of the Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium to foster the potential of high-content data integration for clinical translation.
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What OpenQuestion holds
Registered trials
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.