ReviewTrends in genetics : TIG2015
Concepts in solid tumor evolution.
Review in Trends in genetics : TIG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019Pooled it
- The early-onset cancer epidemics: evidence synthesis using the prospective cohort incident-tumor biobank method.European journal of epidemiology · 2025Review
- Genetic variation drives cancer cell adaptation to ECM stiffness.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Non-Invasive Imaging of Mechanical Properties of Cancers In Vivo Based on Transformations of the Eshelby's Tensor Using Compression Elastography.IEEE transactions on medical imaging · 2024Article
- Advances in functional lipid nanoparticles: from drug delivery platforms to clinical applications.3 Biotech · 2024Review
- Unraveling the Drivers of Tumorigenesis in the Context of Evolution: Theoretical Models and Bioinformatics Tools.Journal of molecular evolution · 2023Review
- Small extracellular vesicle DNA-mediated horizontal gene transfer as a driving force for tumor evolution: Facts and riddles.Frontiers in oncology · 2022Review
- Integrated Genomic and Transcriptomic Analysis reveals key genes for predicting dual-phenotype Hepatocellular Carcinoma Prognosis.Journal of Cancer · 2021Article
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- Article
- Mutant-allele tumor heterogeneity in malignant glioma effectively predicts neoplastic recurrence.Oncology letters · 2019Article
- Article
- Single-cell heterogeneity in ductal carcinoma in situ of breast.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018Article
- HPV positive, wild type TP53, and p16 overexpression correlate with the absence of residual tumors after chemoradiotherapy in anal squamous cell carcinoma.BMC gastroenterology · 2018Article
- Reconstruction of kidney renal clear cell carcinoma evolution across pathological stages.Scientific reports · 2018Article
- The Direction of Tumour Growth in Glioblastoma Patients.Scientific reports · 2018Article
- Resource competition promotes tumour expansion in experimentally evolved cancer.BMC evolutionary biology · 2017Article
- Evolution and cancer medicine - transformative insights.Nature reviews. Clinical oncology · 2017Article
- Non-cell-autonomous effects yield lower clonal diversity in expanding tumors.Scientific reports · 2017Article
- Molecular genetics of osteosarcoma.Bone · 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
2 authors.
Funding
Abstract
Evolutionary mechanisms in cancer progression give tumors their individuality. Cancer evolution is different from organismal evolution, however, and we discuss where concepts from evolutionary genetics are useful or limited in facilitating an understanding of cancer. Based on these concepts we construct and apply the simplest plausible model of tumor growth and progression. Simulations using this simple model illustrate the importance of stochastic events early in tumorigenesis, highlight the dominance of exponential growth over linear growth and differentiation, and explain the clonal substructure of tumors.
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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.