ReviewBiochimica et biophysica acta2009
A systems biology view of cancer.
Review in Biochimica et biophysica acta, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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
43 citing papers in PubMed, 97 citations in OpenAlex.
- Non-small cell lung cancer map and analysis: exploring interconnected oncogenic signal integrators.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology.ArXiv · 2025Article
- Beclin-1: a therapeutic target at the intersection of autophagy, immunotherapy, and cancer treatment.Frontiers in immunology · 2024Review
- Towards verifiable cancer digital twins: tissue level modeling protocol for precision medicine.Frontiers in physiology · 2024Review
- Systems Biology and Cytokines Potential Role in Lung Cancer Immunotherapy Targeting Autophagic Axis.Biomedicines · 2023Review
- PHF5A as a new OncoTarget and therapeutic prospects.Heliyon · 2023Review
- Identification of MYB gene family and functional analysis of GhMYB4 in cotton (Gossypium spp.).Molecular genetics and genomics : MGG · 2023Article
- An Analysis of Transcriptomic Burden Identifies Biological Progression Roadmaps for Hematological Malignancies and Solid Tumors.Biomedicines · 2022Article
- 2-Methoxy-1,4-naphthoquinone (MNQ) regulates cancer key genes of MAPK, PI3K, and NF-κB pathways in Raji cells.Genomics & informatics · 2022Article
- Crosstalk between MMP-13, CD44, and TWIST1 and its role in regulation of EMT in patients with esophageal squamous cell carcinoma.Molecular and cellular biochemistry · 2021Article
- Transition and identification of pathological states in p53 dynamics for therapeutic intervention.Scientific reports · 2021Article
- Genetic Programs Driving Oncogenic Transformation: Lessons from in Vitro Models.International journal of molecular sciences · 2019Article
- A QSP Model for Predicting Clinical Responses to Monotherapy, Combination and Sequential Therapy Following CTLA-4, PD-1, and PD-L1 Checkpoint Blockade.Scientific reports · 2019Article
- Connecting signaling and metabolic pathways in EGF receptor-mediated oncogenesis of glioblastoma.PLoS computational biology · 2019Article
- Associating expression and genomic data using co-occurrence measures.Biology direct · 2019Article
- Identification ofFrontiers in oncology · 2019Article
- The Study of Apoptosis-inducing Effects of Three Pre-apoptotic Factors by Gallic Acid, Using Simulation Analysis and the Comet Assay Technique on the Prostatic Cancer Cell Line PC3.The Malaysian journal of medical sciences : MJMS · 2017Article
- A Benzylideneacetophenone Derivative Induces Apoptosis of Radiation-Resistant Human Breast Cancer Cells via Oxidative Stress.Biomolecules & therapeutics · 2017Article
- Shikonin-induced necroptosis is enhanced by the inhibition of autophagy in non-small cell lung cancer cells.Journal of translational medicine · 2017Article
- Concussion As a Multi-Scale Complex System: An Interdisciplinary Synthesis of Current Knowledge.Frontiers in neurology · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
In order to understand how a cancer cell is functionally different from a normal cell it is necessary to assess the complex network of pathways involving gene regulation, signaling, and cell metabolism, and the alterations in its dynamics caused by the several different types of mutations leading to malignancy. Since the network is typically complex, with multiple connections between pathways and important feedback loops, it is crucial to represent it in the form of a computational model that can be used for a rigorous analysis. This is the approach of systems biology, made possible by new -omics data generation technologies. The goal of this review is to illustrate this approach and its utility for our understanding of cancer. After a discussion of recent progress using a network-centric approach, three case studies related to diagnostics, therapy, and drug development are presented in detail. They focus on breast cancer, B-cell lymphomas, and colorectal cancer. The discussion is centered on key mathematical and computational tools common to a systems biology approach.
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.