ReviewNature reviews. Clinical oncology2014
Cancer Systems Biology: a peek into the future of patient care?
Review in Nature reviews. Clinical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 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
93 citing papers in PubMed, 181 citations in OpenAlex.
- Heterogeneity in cancer: molecular mechanisms and therapeutic strategies.Signal transduction and targeted therapy · 2026Review
- High-throughput multi-organ proteomics workflow for drug efficacy and toxicity analysis.Nature communications · 2026Article
- Systems biology successes and areas for opportunity in prostate cancer.Endocrine-related cancer · 2025Review
- A network-based analysis to identify a piRNA-target signature related to colorectal cancer prognosis: in silico and in vitro study.Discover oncology · 2025Article
- Determination of Critical Genes and Key Regulatorys in Colorectal Cancer with Meta- and Network Analysis of Microarray Datasets.Advanced biomedical research · 2025Article
- Cancer-AssociatedInternational journal of medical sciences · 2025Review
- Advancing the Collaboration Between Imaging and Radiation Oncology.Seminars in radiation oncology · 2024Review
- Metabolic Connectome and Its Role in the Prediction, Diagnosis, and Treatment of Complex Diseases.Metabolites · 2024Review
- Construction of a prognostic prediction model in liver cancer based on genes involved in integrin cell surface interactions pathway by multi-omics screening.Frontiers in cell and developmental biology · 2024Article
- Signaling pathways in cancer metabolism: mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Long Non-coding RNAs and CRISPR-Cas Edition in Tumorigenesis.Advances in experimental medicine and biology · 2023Article
- Role of ZNF143 and Its Association with Gene Expression Patterns, Noncoding Mutations, and the Immune System in Human Breast Cancer.Life (Basel, Switzerland) · 2022Article
- Article
- Factors Associated with the Uptake of Genetic Testing for Cancer Risks: A Pathway Analysis Using the Health Information National Trends Survey Data.Life (Basel, Switzerland) · 2022Article
- NF-kB in Signaling Patterns and Its Temporal Dynamics Encode/Decode Human Diseases.Life (Basel, Switzerland) · 2022Review
- Review
- Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model Hamiltonian.BMC bioinformatics · 2022Article
- Multi-staged gene expression profiling reveals potential genes and the critical pathways in kidney cancer.Scientific reports · 2022Article
- Redrawing therapeutic boundaries: microbiota and cancer.Trends in cancer · 2022Review
- Identification of TIMELESS and RORA as key clock molecules of non-small cell lung cancer and the comprehensive analysis.BMC cancer · 2022Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Traditionally, scientific research has focused on studying individual events, such as single mutations, gene function, or the effect that mutating one protein has on a biological phenotype. A range of technologies is beginning to provide information that will enable a holistic view of how genomic and epigenetic aberrations in cancer cells can alter the homeostasis of signalling networks within these cells, between cancer cells and the local microenvironment, and at the organ and organism level. This process, termed Systems Biology, needs to be integrated with an iterative approach wherein hypotheses and predictions that arise from modelling are refined and constrained by experimental evaluation. Systems biology approaches will be vital for developing and implementing effective strategies to deliver personalized cancer therapy. Specifically, these approaches will be important to select those patients who are most likely to benefit from targeted therapies and for the development and implementation of rational combinatorial therapies. Systems biology can help to increase therapy efficacy or bypass the emergence of resistance, thus converting the current-often short term-effects of targeted therapies into durable responses, ultimately to improve patient quality of life and provide a cure.
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.