ArticleCurrent opinion in systems biology2019
Systems biology approaches to measure and model phenotypic heterogeneity in cancer.
Article in Current opinion in systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- A pump-free microfluidic device for integrated multi-functional testing of tumor spheroids.APL bioengineering · 2026Article
- A Roadmap for the Future of Systems Biology in Cancer Research.Cancer research · 2025Review
- Spatial proteomics for investigating solid tumor resistance mechanisms.Cancer metastasis reviews · 2025Review
- Sequential Chromogenic IHC: Spatial Analysis of Lymph Nodes Identifies Contact Interactions between Plasmacytoid Dendritic Cells and Plasmablasts.Cancer research communications · 2023Article
- Analysis and modeling of cancer drug responses using cell cycle phase-specific rate effects.Nature communications · 2023Article
- A single-cell analysis of breast cancer cell lines to study tumour heterogeneity and drug response.Nature communications · 2022Article
- The Yin-Yang Dynamics in Cancer Pharmacogenomics and Personalized Medicine.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Traditional chinese medicine syndromes classification associates with tumor cell and microenvironment heterogeneity in colorectal cancer: a single cell RNA sequencing analysis.Chinese medicine · 2021Article
- Biophysical Informatics Approach For Quantifying Phenotypic Heterogeneity In Cancer Cell Migration In Confined Microenvironments.Bioinformatics (Oxford, England) · 2021Article
- Understanding breast cancer heterogeneity through non-genetic heterogeneity.Breast cancer (Tokyo, Japan) · 2021Review
- Coupled Feedback Loops Involving PAGE4, EMT and Notch Signaling Can Give Rise to Non-genetic Heterogeneity in Prostate Cancer Cells.Entropy (Basel, Switzerland) · 2021Article
- Cancer systems immunology.eLife · 2020Review
- Measurement and models accounting for cell death capture hidden variation in compound response.Cell death & disease · 2020Article
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.
Funding
Abstract
The recent wide-spread adoption of single cell profiling technologies has revealed that individual cancers are not homogenous collections of deregulated cells, but instead are comprised of multiple genetically and phenotypically distinct cell subpopulations that exhibit a wide range of responses to extracellular signals and therapeutic insult. Such observations point to the urgent need to understand cancer as a complex, adaptive system. Cancer systems biology studies seek to develop the experimental and theoretical methods required to understand how biological components work together to determine how cancer cells function. Ultimately, such approaches will lead to improvements in how cancer is managed and treated. In this review, we discuss recent advances in cancer systems biology approaches to quantify, model, and elucidate mechanisms of heterogeneity.
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.