ArticleScientific reports2017
OncoScore: a novel, Internet-based tool to assess the oncogenic potential of genes.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers.
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33 citing papers in PubMed.
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- Atypical fusion among non-malignant cells: Unveiling the link between post-fusion-induced genome chaos and cancer initiation.Cancer cell international · 2026Article
- Tumour-based DNA methylation markers of breast cancer survival: a pooled analysis of 2157 cases.Breast cancer research : BCR · 2026Article
- CancerHubs Data Explorer: a web application for investigating mutation-enriched protein interaction hubs in human cancers.BioData mining · 2026Article
- Deciphering genetic susceptibility to clear cell renal cell carcinoma.Communications biology · 2025Article
- Integrative analysis of epigenetic and transcriptional interrelations identifies histotype-specific biomarkers in early-stage ovarian carcinoma.Journal of ovarian research · 2025Article
- Global analysis of actionable genomic alterations in thyroid cancer and precision-based pharmacogenomic strategies.Frontiers in pharmacology · 2025Article
- Recurrent somatic mutations of FAT family cadherins induce an aggressive phenotype and poor prognosis in anaplastic large cell lymphoma.British journal of cancer · 2024Article
- CancerHubs: a systematic data mining and elaboration approach for identifying novel cancer-related protein interaction hubs.Briefings in bioinformatics · 2024Article
- Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review.JMIR bioinformatics and biotechnology · 2024Article
- Systematic prioritization of functional variants and effector genes underlying colorectal cancer risk.Nature genetics · 2024Article
- Cytotoxic Activity of α-Aminophosphonic Derivatives Coming from the Tandem Kabachnik-Fields Reaction and Acylation.Pharmaceuticals (Basel, Switzerland) · 2023Article
- New oncogenic functions of LINE1 retroelement as a ceRNA for tumor suppressive microRNA miR-126 on ENPP5.PloS one · 2023Article
- Pan-cancer analysis of cuproptosis regulation patterns and identification of mTOR-target responder in clear cell renal cell carcinoma.Biology direct · 2022Article
- Integrated In Silico Analyses Identify PUF60 and SF3A3 as New Spliceosome-Related Breast Cancer RNA-Binding Proteins.Biology · 2022Article
- Aberrant epigenetic and transcriptional events associated with breast cancer risk.Clinical epigenetics · 2022Article
- Whole exome sequencing of high-risk neuroblastoma identifies novel non-synonymous variants.PloS one · 2022Article
- A network approach reveals driver genes associated with survival of patients with triple-negative breast cancer.iScience · 2021Article
- Transcriptome Analysis of Subcutaneous Adipose Tissue from Severely Obese Patients Highlights Deregulation Profiles in Coding and Non-Coding Oncogenes.International journal of molecular sciences · 2021Article
- RNA-sequencing of IDH-wild-type glioblastoma with chromothripsis identifies novel gene fusions with potential oncogenic properties.Translational oncology · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The complicated, evolving landscape of cancer mutations poses a formidable challenge to identify cancer genes among the large lists of mutations typically generated in NGS experiments. The ability to prioritize these variants is therefore of paramount importance. To address this issue we developed OncoScore, a text-mining tool that ranks genes according to their association with cancer, based on available biomedical literature. Receiver operating characteristic curve and the area under the curve (AUC) metrics on manually curated datasets confirmed the excellent discriminating capability of OncoScore (OncoScore cut-off threshold = 21.09; AUC = 90.3%, 95% CI: 88.1-92.5%), indicating that OncoScore provides useful results in cases where an efficient prioritization of cancer-associated genes is needed.
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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.