ArticleMolecular biology and evolution2020
Molecular Biology and Evolution of Cancer: From Discovery to Action.
Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed.
- Accelerating discovery of cancer causes for prevention in the era of rising early-onset cancers.Cell · 2026Review
- Exploring tumorigenesis as a process of phenotypic state-space exploration and selective funneling.Evolution, medicine, and public health · 2026Article
- Promising anti-cervical cancer efficacy and phytochemical analysis of Vitex doniana Sweet (Verbenaceae) leaf extracts: an in vitro investigation with molecular mechanisms of action.BMC complementary medicine and therapies · 2025Article
- Ubiquitination in cancer: mechanisms and therapeutic opportunities.Cancer communications (London, England) · 2025Review
- ThePharmaceuticals (Basel, Switzerland) · 2025Article
- Aging directs the differential evolution of KRAS-driven lung adenocarcinoma.bioRxiv : the preprint server for biology · 2025Article
- Circulating biomarkers for diagnosis and response to therapies in cancer patients.International review of cell and molecular biology · 2025Review
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.eLife · 2024Article
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.bioRxiv : the preprint server for biology · 2024Article
- Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes.BioData mining · 2024Article
- Onco-Breastomics: An Eco-Evo-Devo Holistic Approach.International journal of molecular sciences · 2024Review
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- Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023Review
- Single-cell phylogenies reveal changes in the evolutionary rate within cancer and healthy tissues.Cell genomics · 2023Article
- Unraveling the Drivers of Tumorigenesis in the Context of Evolution: Theoretical Models and Bioinformatics Tools.Journal of molecular evolution · 2023Review
- Article
- Computational Biology Helps Understand How Polyploid Giant Cancer Cells Drive Tumor Success.Genes · 2023Review
- Anticancer activities of natural antimicrobial peptides from animals.Frontiers in microbiology · 2023Review
- Evaluating the dissemination of evolutionary biology concepts in medicine.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Cancer progression is an evolutionary process. During this process, evolving cancer cell populations encounter restrictive ecological niches within the body, such as the primary tumor, circulatory system, and diverse metastatic sites. Efforts to prevent or delay cancer evolution-and progression-require a deep understanding of the underlying molecular evolutionary processes. Herein we discuss a suite of concepts and tools from evolutionary and ecological theory that can inform cancer biology in new and meaningful ways. We also highlight current challenges to applying these concepts, and propose ways in which incorporating these concepts could identify new therapeutic modes and vulnerabilities in cancer.
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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.