ArticleNucleic acids research2008
SNP panel identification assay (SPIA): a genetic-based assay for the identification of cell lines.
Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 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
48 citing papers in PubMed.
- Circulating tumor DNA profile recognizes transformation to castration-resistant neuroendocrine prostate cancer.The Journal of clinical investigation · 2020Trial
- Patient-derived organoids across cancers reveal conserved tumor heterogeneity and actionable therapeutic vulnerabilities.Science advances · 2026Article
- Combined ctDNA and serum PSA for dynamic monitoring of metastatic prostate cancer starting first-line treatment: a prospective national cohort study.Nature cancer · 2026Article
- EXaCT-2: an augmented and customizable oncology-focused whole exome sequencing platform.NPJ precision oncology · 2026Article
- STRaM: A genetic framework for improved cell product provenance for research and clinical translations.Communications biology · 2025Article
- Non-enzymatic SETD1A activity drives breast cancer cell proliferation via cyclin K.Breast cancer research : BCR · 2025Article
- Kinome-Focused CRISPR-Cas9 Screens in African Ancestry Patient-Derived Breast Cancer Organoids Identify Essential Kinases and Synergy of EGFR and FGFR1 Inhibition.Cancer research · 2025Article
- Bladder cancer organoids as a functional system to model different disease stages and therapy response.Nature communications · 2023Article
- Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data.NAR genomics and bioinformatics · 2023Article
- Allele-informed copy number evaluation of plasma DNA samples from metastatic prostate cancer patients: the PCF_SELECT consortium assay.NAR cancer · 2022Article
- Allele-specific genomic data elucidate the role of somatic gain and copy-number neutral loss of heterozygosity in cancer.Cell systems · 2022Article
- Patient-Derived Xenografts of High-Grade Serous Ovarian Cancer Subtype as a Powerful Tool in Pre-Clinical Research.Cancers · 2021Article
- Fast mutual exclusivity algorithm nominates potential synthetic lethal gene pairs through brute force matrix product computations.Computational and structural biotechnology journal · 2021Article
- Genomic characterization of human brain metastases identifies drivers of metastatic lung adenocarcinoma.Nature genetics · 2020Article
- CeL-ID: cell line identification using RNA-seq data.BMC genomics · 2019Article
- Targeting HER2 in patient-derived xenograft ovarian cancer models sensitizes tumors to chemotherapy.Molecular oncology · 2019Article
- Robust in-silico identification of Cancer Cell Lines based on RNA and targeted DNA sequencing data.Scientific reports · 2019Article
- Integrative Molecular Analysis of Patients With Advanced and Metastatic Cancer.JCO precision oncology · 2019Article
- Patient derived organoids to model rare prostate cancer phenotypes.Nature communications · 2018Article
- Article
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.
Funding
Abstract
Translational research hinges on the ability to make observations in model systems and to implement those findings into clinical applications, such as the development of diagnostic tools or targeted therapeutics. Tumor cell lines are commonly used to model carcinogenesis. The same tumor cell line can be simultaneously studied in multiple research laboratories throughout the world, theoretically generating results that are directly comparable. One important assumption in this paradigm is that researchers are working with the same cells. However, recent work using high throughput genomic analyses questions the accuracy of this assumption. Observations by our group and others suggest that experiments reported in the scientific literature may contain pre-analytic errors due to inaccurate identities of the cell lines employed. To address this problem, we developed a simple approach that enables an accurate determination of cell line identity by genotyping 34 single nucleotide polymorphisms (SNPs). Here, we describe the empirical development of a SNP panel identification assay (SPIA) compatible with routine use in the laboratory setting to ensure the identity of tumor cell lines and human tumor samples throughout the course of long term research use.
Indexed as
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.