neomerDB: a comprehensive database of neomer biomarkers in cancer
Kimonas Provatas, Candace S Y Chan, Ioannis Kerasiotis, Eleftherios Bochalis, Akshatha Nayak, Brad E Zacharia, Georgios A Pavlopoulos, Wei Li, Ilias Georgakopoulos-Soares

TL;DR
neomerDB is a new database that identifies unique DNA sequences (neomers) linked to cancer, which can help detect and monitor cancer more effectively.
Contribution
The novel contribution is the creation of neomerDB, a comprehensive database of neomer biomarkers across cancer types and organs.
Findings
Neomers were identified across cancer types and organs using thousands of tumor-matched sequencing samples.
A case study showed neomers can detect glioblastoma in liquid biopsy samples with high accuracy (AUC 0.98, precision-recall 0.99).
The database includes population-wide filtering to exclude germline-derived nullomers and neomers.
Abstract
The development of biomarkers for population screening, early cancer detection, monitoring, and recurrence surveillance offers substantial potential to improve patient outcomes and save lives. Nullomers are short k-mers that are absent from a human genome, and neomers are the subset of nullomers that emerge recurrently due to somatic mutations during cancer development. Here, we have developed neomerDB, a database that encompasses a catalogue of neomers across cancer types and organs. We examined 10 000 whole exome sequencing and 2658 whole genome sequencing tumour-matched samples and identified the set of neomers associated with each cancer type and organ. We also analysed 76 215 whole genomes and 730 947 whole exomes of individuals from diverse ancestries, from which we removed nullomers and neomers that can arise due to germline variants in the population. Finally, we conducted a…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCancer Genomics and Diagnostics · Ferroptosis and cancer prognosis · Genomics and Rare Diseases
