| Title |
Analysis of the genomic landscape of multiple myeloma highlights novel prognostic markers and disease subgroups
|
|---|---|
| Published in |
Leukemia, May 2018
|
| DOI | 10.1038/s41375-018-0037-9 |
| Pubmed ID | |
| Authors |
Niccolo Bolli, Giulia Biancon, Matahi Moarii, Silvia Gimondi, Yilong Li, Chiara de Philippis, Francesco Maura, Vijitha Sathiaseelan, Yu-Tzu Tai, Laura Mudie, Sarah O’Meara, Keiran Raine, Jon W. Teague, Adam P. Butler, Cristiana Carniti, Moritz Gerstung, Tina Bagratuni, Efstathios Kastritis, Meletios Dimopoulos, Paolo Corradini, Kenneth C. Anderson, Philippe Moreau, Stephane Minvielle, Peter J. Campbell, Elli Papaemmanuil, Herve Avet-Loiseau, Nikhil C. Munshi |
| Abstract |
In multiple myeloma, next-generation sequencing (NGS) has expanded our knowledge of genomic lesions, and highlighted a dynamic and heterogeneous composition of the tumor. Here we used NGS to characterize the genomic landscape of 418 multiple myeloma cases at diagnosis and correlate this with prognosis and classification. Translocations and copy number abnormalities (CNAs) had a preponderant contribution over gene mutations in defining the genotype and prognosis of each case. Known and novel independent prognostic markers were identified in our cohort of proteasome inhibitor and immunomodulatory drug-treated patients with long follow-up, including events with context-specific prognostic value, such as deletions of the PRDM1 gene. Taking advantage of the comprehensive genomic annotation of each case, we used innovative statistical approaches to identify potential novel myeloma subgroups. We observed clusters of patients stratified based on the overall number of mutations and number/type of CNAs, with distinct effects on survival, suggesting that extended genotype of multiple myeloma at diagnosis may lead to improved disease classification and prognostication. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 17% |
| Saudi Arabia | 1 | 8% |
| France | 1 | 8% |
| Spain | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 42% |
| Members of the public | 4 | 33% |
| Practitioners (doctors, other healthcare professionals) | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 19% |
| Student > Ph. D. Student | 18 | 11% |
| Student > Bachelor | 17 | 10% |
| Other | 17 | 10% |
| Student > Master | 13 | 8% |
| Other | 23 | 14% |
| Unknown | 45 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 27% |
| Biochemistry, Genetics and Molecular Biology | 35 | 21% |
| Agricultural and Biological Sciences | 8 | 5% |
| Immunology and Microbiology | 6 | 4% |
| Computer Science | 5 | 3% |
| Other | 15 | 9% |
| Unknown | 52 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 August 2021.
All research outputs
#5,611,796
of 26,017,215 outputs
Outputs from Leukemia
#1,773
of 5,566 outputs
Outputs of similar age
#98,056
of 347,629 outputs
Outputs of similar age from Leukemia
#31
of 69 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,566 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 347,629 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.