ReviewJournal of the National Cancer Institute2016
The Conundrum of Genetic "Drivers" in Benign Conditions.
Review in Journal of the National Cancer Institute, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
What it found
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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
73 citing papers in PubMed, 145 citations in OpenAlex.
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- Disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile.Hereditas · 2025Article
- Evaluation of cell-free DNA from papanicolaou smears and peripheral blood to detect endometrial cancer.Frontiers in oncology · 2025Article
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- An attractor state zone precedes neural crest fate in melanoma initiation.bioRxiv : the preprint server for biology · 2024Article
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- Reverse repurposing: Potential utility of cancer drugs in nonmalignant illnesses.Med (New York, N.Y.) · 2024Review
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- Exploration of anti‑osteosarcoma activity of asiatic acid based on network pharmacology andOncology reports · 2024Article
- The Promise of Semantic Segmentation in Detecting Actinic Keratosis Using Clinical Photography in the Wild.Cancers · 2023Article
- Biochemistry-Not Oncogenes-May Demystify and Defeat Cancer.Oncology and therapy · 2023Review
13 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
4 authors at 3 institutions in 1 country.
Funding
Abstract
Advances in deep genomic sequencing have identified a spectrum of cancer-specific passenger and driver aberrations. Clones with driver anomalies are believed to be positively selected during carcinogenesis. Accumulating evidence, however, shows that genomic alterations, such as those inBRAF,RAS,EGFR,HER2,FGFR3,PIK3CA,TP53,CDKN2A, andNF1/2, all of which are considered hallmark drivers of specific cancers, can also be identified in benign and premalignant conditions, occasionally at frequencies higher than in their malignant counterparts. Targeting these genomic drivers can produce dramatic responses in advanced cancer, but the effects on their benign counterparts are less clear. This benign-malignant phenomenon is well illustrated in studies ofBRAFV600E mutations, which are paradoxically more frequent in benign nevi (∼80%) than in dysplastic nevi (∼60%) or melanoma (∼40%-45%). Similarly, human epidermal growth factor receptor 2 is more commonly overexpressed in ductal carcinoma in situ (∼27%-56%) when compared with invasive breast cancer (∼11%-20%).FGFR3mutations in bladder cancer also decrease with tumor grade (low-grade tumors, ∼61%; high-grade, ∼11%). "Driver" mutations also occur in nonmalignant settings:TP53mutations in synovial tissue from rheumatoid arthritis andFGFR3mutations in seborrheic keratosis. The latter observations suggest that the oncogenicity of these alterations may be tissue context-dependent. The conversion of benign conditions to premalignant disease may involve other genetic events and/or epigenetic reprogramming. Putative driver mutations can also be germline and associated with increased cancer risk (eg, germlineRASorTP53alterations), but germlineFGFR3orNF2abnormalities do not predispose to malignancy. We discuss the enigma of genetic "drivers" in benign and premalignant conditions and the implications for prevention strategies and theories of tumorigenesis.
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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.