Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma

27 Aug 2021

Abstract excerpt

Chromothripsis is detectable in 20-30% of newly diagnosed multiple myeloma (NDMM) patients and is emerging as a new independent adverse prognostic factor. In this study we interrogate 752 NDMM patients using whole genome sequencing (WGS) to investigate the relationship of copy number (CN) signatures to chromothripsis and show they are highly associated. CN signatures are highly predictive of the presence of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Genomics and Diagnostics
Share to Genomic variations and chromosomal abnormalities
Share to Multiple Myeloma Research and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34453055
DOI: 10.1038/s41467-021-25469-8

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myelomaPMID 34453055Read ↗

Copy number signatures predict chromothripsis and associate with poor clinical outcomes in patients with newly diagnosed multiple myelomaSemantic proximity Read ↗

Chromothripsis identifies a rare and aggressive entity among newly diagnosed multiple myeloma patients.Semantic proximity Read ↗

Genomic landscape and chronological reconstruction of driver events in multiple myelomaSemantic proximity Read ↗

Comprehensive molecular profiling of multiple myeloma identifies refined copy number and expression subtypesSemantic proximity Read ↗

Analysis of the genomic landscape of multiple myeloma highlights novel prognostic markers and disease subgroups.Semantic proximity Read ↗

Genomic Basis of Multiple Myeloma Subtypes from the MMRF CoMMpass StudySemantic proximity Read ↗

Patient Similarity Network of Newly Diagnosed Multiple Myeloma Identifies Patient Sub-groups with Distinct Genetic Features and Clinical ImplicationsSemantic proximity Read ↗

Genomic landscape and chronological reconstruction of driver events in multiple myelomaSemantic proximity Read ↗

Structural variants shape the genomic landscape and clinical outcome of multiple myelomaSemantic proximity Read ↗

Genome instability in multiple myeloma.Semantic proximity Read ↗

A compendium of myeloma-associated chromosomal copy number abnormalities and their prognostic value.Semantic proximity Read ↗

Whole-genome sequencing of multiple myeloma reveals oncogenic pathways are targeted somatically through multiple mechanisms.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.