ArticleCancer research2009
Multiparameter computational modeling of tumor invasion.
Article in Cancer research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 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
61 citing papers in PubMed.
- Spatial transcriptomics profiling across tissue boundaries in the developing mouse brain.iScience · 2026Article
- Next-generation osteosarcoma models for precision medicine.Communications biology · 2026Review
- Glioblastoma region-specific metabolic signatures reflect patient survival duration.Journal of neuro-oncology · 2026Article
- TheMaterials today. Bio · 2026Review
- Adhesion forces between macrophages and cancer cells promote early tumor development.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Mechanistic insight for T-cell exclusion by cancer-associated fibroblasts in human lung cancer.eLife · 2025Article
- Gradient-induced instability in tumour spheroids unveils the impact of microenvironmental nutrient changes.Scientific reports · 2024Article
- Migration and proliferation drive the emergence of patterns in co-cultures of differentiating vascular progenitor cells.Mathematical biosciences and engineering : MBE · 2024Article
- Morphological Stability for in silico Models of Avascular Tumors.Bulletin of mathematical biology · 2024Article
- Hybrid Cellular Automata Modeling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth.Cancers · 2023Article
- A Mathematical Modelling Study of Chemotactic Dynamics in Cell Cultures: The Impact of Spatio-temporal Heterogeneity.Bulletin of mathematical biology · 2023Article
- From Chaos to Opportunity: Decoding Cancer Heterogeneity for Enhanced Treatment Strategies.Biology · 2023Review
- Evaluation of Lung Cancer Patient Response to First-Line Chemotherapy by Integration of Tumor Core Biopsy Metabolomics with Multiscale Modeling.Annals of biomedical engineering · 2023Article
- Data-driven spatio-temporal modelling of glioblastoma.Royal Society open science · 2023Review
- Modeling of Tumor Growth with Input from Patient-Specific Metabolomic Data.Annals of biomedical engineering · 2022Article
- Bioengineered Models to Study Microenvironmental Regulation of Glioblastoma Metabolism.Journal of neuropathology and experimental neurology · 2021Review
- Multicellular Ovarian Cancer Model for Evaluation of Nanovector Delivery in Ascites and Metastatic Environments.Pharmaceutics · 2021Article
- Correlation of prostate tumor eccentricity and Gleason scoring from prostatectomy and multi-parametric-magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2021Article
- Mathematical formulation and parametric analysis of in vitro cell models in microfluidic devices: application to different stages of glioblastoma evolution.Scientific reports · 2020Article
- The shape of breast cancer.Breast cancer research and treatment · 2020Article
1 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
9 authors.
Funding
Abstract
Clinical outcome prognostication in oncology is a guiding principle in therapeutic choice. A wealth of qualitative empirical evidence links disease progression with tumor morphology, histopathology, invasion, and associated molecular phenomena. However, the quantitative contribution of each of the known parameters in this progression remains elusive. Mathematical modeling can provide the capability to quantify the connection between variables governing growth, prognosis, and treatment outcome. By quantifying the link between the tumor boundary morphology and the invasive phenotype, this work provides a quantitative tool for the study of tumor progression and diagnostic/prognostic applications. This establishes a framework for monitoring system perturbation towards development of therapeutic strategies and correlation to clinical outcome for prognosis.
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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.