ArticleGenes & cancer2018
Robust genomic copy number predictor of pan cancer metastasis.
Article in Genes & cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- FOXI3 promotes migration and proliferation in prostate cancer bone metastases, modulated by FGF8.Frontiers in oncology · 2026Article
- Mutational and Transcriptional Characterization Establishes Prognostic Models for Resectable Lung Squamous Cell Carcinoma.Cancer management and research · 2023Article
- Genomic copy number alterations as biomarkers for triple negative pregnancy-associated breast cancer.Cellular oncology (Dordrecht, Netherlands) · 2022Article
- The Development of a WTC Environmental Health Center Pan-Cancer Database.International journal of environmental research and public health · 2021Article
- Rapid Next-Generation Sequencing Method for Prediction of Prostate Cancer Risks.The Journal of molecular diagnostics : JMD · 2019Article
- Ectopic Otoconin 90 expression in triple negative breast cancer cell lines is associated with metastasis functions.PloS one · 2019Article
- Tumor copy number alteration burden is a pan-cancer prognostic factor associated with recurrence and death.eLife · 2018Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Copy number alterations(CNAs) are the most common genetic changes observed in many cancers, reflecting the innate chromosomal instability of this disorder. Yet, how these alterations affect gene function to promote metastases across different tumor types has not been established. In this study, we developed a pan-cancer metastasis potential score (panMPS) based on observed CNAs. panMPS predicts metastasis and metastasis-free survival in cohorts of patients with prostate cancer, triple negative breast cancer and lung adenocarcinoma, and overall survival in the Metabric breast cancer cohort and three cohorts from The Cancer Genome Atlas (TCGA), including prostate, breast and lung adenocarcinoma. These CNAs are present in cell lines of metastatic tumors from eight different origins, reflected by an elevated panMPS for all cell lines. Many copy number alterations involve large chromosomal segments that encompass multiple genes ("clumps"). We show that harnessing this structural information to select only one gene per clump captures the contributions of other genes within the clump, resulting in a robust predictor of metastasis outcome. These sets of selected genes are distinct from cancer drivers that undergo mutation, and in fact, metastasis-related functions have been published for over half of them.
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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.