ReviewTranslational oncology2014
Personalized in vitro cancer modeling - fantasy or reality?
Review in Translational oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Vascularised organoids: Recent advances and applications in cancer research.Clinical and translational medicine · 2025Pooled it
- 3D bioprinted breast tumor-stroma models for pre-clinical drug testing.Materials today. Bio · 2023Article
- Bcl-xL Enforces a Slow-Cycling State Necessary for Survival in the Nutrient-Deprived Microenvironment of Pancreatic Cancer.Cancer research · 2022Article
- Understanding the Role of Fibroblasts following a 3D Tumoroid Implantation for Breast Tumor Formation.Bioengineering (Basel, Switzerland) · 2021Review
- Recapitulating the Cancer Microenvironment Using Bioprinting Technology for Precision Medicine.Micromachines · 2021Review
- Review
- Rapid Clearing for High Resolution 3D Imaging of Ex Vivo Pancreatic Cancer Spheroids.International journal of molecular sciences · 2020Article
- Investigating Programmed Cell Death and Tumor Invasion in a Three-Dimensional (3D) Microfluidic Model of Glioblastoma.International journal of molecular sciences · 2020Article
- A Microfluidic Perfusion Platform for In Vitro Analysis of Drug Pharmacokinetic-Pharmacodynamic (PK-PD) Relationships.The AAPS journal · 2020Article
- Assessing drug response in engineered brain microenvironments.Brain research bulletin · 2019Review
- Relevance of 3d culture systems to study osteosarcoma environment.Journal of experimental & clinical cancer research : CR · 2018Review
- Utility of a Novel Three-Dimensional and Dynamic (3DD) Cell Culture System for PK/PD Studies: Evaluation of a Triple Combination Therapy at Overcoming Anti-HER2 Treatment Resistance in Breast Cancer.Frontiers in pharmacology · 2018Article
- Characterization andFrontiers in bioengineering and biotechnology · 2018Article
- EMT/MET at the Crossroad of Stemness, Regeneration and Oncogenesis: The Ying-Yang Equilibrium Recapitulated in Cell Spheroids.Cancers · 2017Review
- Personalized in vitro cancer models to predict therapeutic response: Challenges and a framework for improvement.Pharmacology & therapeutics · 2016Review
- Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids.Journal of translational medicine · 2016Article
- Development of Liver Cancer Organoids: Reproducing Tumor Microenvironment and Advancing Research for Liver Cancer Treatment.Technology in cancer research & treatmentReview
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With greater technological advancements and understanding of pathophysiology, "personalized medicine" has become a more realistic goal. In the field of cancer, personalized medicine is the ultimate objective, as each cancer is unique and each tumor is heterogeneous. For many decades, researchers have relied upon studying the histopathology of tumors in the hope that it would provide clues to understanding the pathophysiology of cancer. Current preclinical research relies heavily upon two-dimensional culture models. However, these models have had limited success in recreating the complex interactions between cancer cells and the stroma environment in vivo. Thus, there is increasing impetus to shift to three-dimensional models, which more accurately reflect this phenomenon. With a more accurate in vitro tumor model, drug sensitivity can be tested to determine the best treatment option based on the tumor characteristics. Many methods have been developed to create tumor models or "tumoroids," each with its advantages and limitations. One significant problem faced is the replication of angiogenesis that is characteristic of tumors in vivo. Nonetheless, if three-dimensional models could be standardized and implemented as a preclinical research tool for therapeutic testing, we would be taking a step towards making personalized cancer medicine a reality.
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.