ReviewCancer reports (Hoboken, N.J.)2023
Chromosomal instability and its effect on cell lines.
Review in Cancer reports (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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.
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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.
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Who cites it
26 citing papers in PubMed, 41 citations in OpenAlex.
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- Characterizing a murine breast cancer mouse model reveals chromosomal abnormalities in structure and number of single-cell clones and the presence of rare cancer stem cell-like phenotypes.Animal models and experimental medicine · 2026Article
- Ubiquitin-conjugating Enzymes in Cancer.International journal of biological sciences · 2026Review
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- Lipopolysaccharide-induced alterations in barrier integrity and inflammatory signaling in porcine small intestinal organoids.PloS one · 2026Article
- Phenotypic plasticity in fish cell lines: conceptual links to aquatic epigenetics.Frontiers in epigenetics and epigenomics · 2026Review
- Intra-strain genetic heterogeneity in Toxoplasma gondii ME49: Oxford Nanopore long-read sequencing reveals copy number variation in the ROP8-ROP2A locus.BMC genomics · 2025Article
- Modelling APOL1-mediated kidney inflammation and fibrosis using a partially reprogrammed urine-derived SIX2-positive renal progenitor cell line.Stem cell research & therapy · 2025Article
- Evaluating a Cellular Microstructure Model Within Apoptotic Cell Death via Diffusion Magnetic Resonance and Long Diffusion Times.NMR in biomedicine · 2025Article
- Review
- Optimized toolkit for the manipulation of immortalized axolotl fibroblasts.Methods (San Diego, Calif.) · 2025Article
- A high-quality reference genome for the Ural Owl (Strix uralensis) enables investigations of cell cultures as a genomic resource for endangered species.GigaScience · 2025Article
- Cultivated meat microbiological safety considerations and practices.Comprehensive reviews in food science and food safety · 2025Review
- Article
- Chromosomal instability: a key driver in glioma pathogenesis and progression.European journal of medical research · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer cell lines are invaluable model systems for biomedical research because they provide an almost unlimited supply of biological materials. However, there is considerable skepticism regarding the reproducibility of data derived from these in vitro models. RECENT
findingsChromosomal instability (CIN) is one of the primary issues associated with cell lines, which can cause genetic heterogeneity and unstable cell properties within a cell population. Many of these problems can be avoided with some precautions. Here we review the underlying causes of CIN, including merotelic attachment, telomere dysfunction, DNA damage response defects, mitotic checkpoint defects and cell cycle disturbances.
conclusionIn this review we summarize studies highlighting the consequences of CIN in various cell lines and provide suggestions on monitoring and controlling CIN during cell culture.
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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.