ReviewCurrent topics in microbiology and immunology2014
High-dimensional single-cell cancer biology.
Review in Current topics in microbiology and immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed, 61 citations in OpenAlex.
- Review
- Multiplexed cytometry for single cell chemical biology.Methods in cell biology · 2025Article
- Digital Barcodes for High-Throughput Screening.Chem & bio engineering · 2024Review
- State-of-the-art cytometry in the search of novel biomarkers in digestive cancers.Frontiers in oncology · 2024Review
- Intracellular Flow Cytometry ("Phosphoflow") to Assess Signal Transduction in Rare Populations Such As Memory B Cell Subsets and Plasma Cells.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Applying single cell multi-omic analyses to understand treatment resistance in pediatric high grade glioma.Frontiers in pharmacology · 2023Review
- Full spectrum flow cytometry and mass cytometry: A 32-marker panel comparison.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022Article
- Techniques for Profiling the Cellular Immune Response and Their Implications for Interventional Oncology.Cancers · 2022Review
- Single cell multi-miRNAs quantification with hydrogel microbeads for liver cancer cell subtypes discrimination.Chemical science · 2022Article
- Article
- Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19.bioRxiv : the preprint server for biology · 2021Article
- Cancer systems immunology.eLife · 2020Review
- Brick plots: an intuitive platform for visualizing multiparametric immunophenotyped cell clusters.BMC bioinformatics · 2020Article
- Training Novices in Generation and Analysis of High-Dimensional Human Cell Phospho-Flow Cytometry Data.Current protocols in cytometry · 2020Article
- Unraveling the Complexity of the Cancer Microenvironment With Multidimensional Genomic and Cytometric Technologies.Frontiers in oncology · 2020Review
- Full Spectrum Flow Cytometry as a Powerful Technology for Cancer Immunotherapy Research.Frontiers in molecular biosciences · 2020Review
- Beyond the message: advantages of snapshot proteomics with single-cell mass cytometry in solid tumors.The FEBS journal · 2019Review
- Validation of CyTOF Against Flow Cytometry for Immunological Studies and Monitoring of Human Cancer Clinical Trials.Frontiers in oncology · 2019Article
- BRAF and MEK inhibitor therapy eliminates Nestin-expressing melanoma cells in human tumors.Pigment cell & melanoma research · 2018Article
- The role of automated cytometry in the new era of cancer immunotherapy.Molecular and clinical oncology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Cancer cells are distinguished from each other and from healthy cells by features that drive clonal evolution and therapy resistance. New advances in high-dimensional flow cytometry make it possible to systematically measure mechanisms of tumor initiation, progression, and therapy resistance on millions of cells from human tumors. Here we describe flow cytometry techniques that enable a "single-cell " view of cancer. High-dimensional techniques like mass cytometry enable multiplexed single-cell analysis of cell identity, clinical biomarkers, signaling network phospho-proteins, transcription factors, and functional readouts of proliferation, cell cycle status, and apoptosis. This capability pairs well with a signaling profiles approach that dissects mechanism by systematically perturbing and measuring many nodes in a signaling network. Single-cell approaches enable study of cellular heterogeneity of primary tissues and turn cell subsets into experimental controls or opportunities for new discovery. Rare populations of stem cells or therapy-resistant cancer cells can be identified and compared to other types of cells within the same sample. In the long term, these techniques will enable tracking of minimal residual disease (MRD) and disease progression. By better understanding biological systems that control development and cell-cell interactions in healthy and diseased contexts, we can learn to program cells to become therapeutic agents or target malignant signaling events to specifically kill cancer cells. Single-cell approaches that provide deep insight into cell signaling and fate decisions will be critical to optimizing the next generation of cancer treatments combining targeted approaches and immunotherapy.
Indexed as
Identifiers
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.