Evidence map›Paper›PMID 39723112›Full record

ReviewPharmacogenomics and personalized medicine2024

The Genetic and Molecular Drivers of Multiple Myeloma: Current Insights, Clinical Implications, and the Path Forward.

Meghana Ram, Molly R Fraser, Junia Vieira Dos Santos, Rafail Tasakis, Ariana Islam, Jannah Usama Abo-Donia, Samir Parekh, Alessandro Lagana

Abstract readReview
In one paragraph

Review in Pharmacogenomics and personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Meghana RamDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Molly R FraserBroad Institute of MIT and Harvard, Boston, MA, USA.
Junia Vieira Dos SantosDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rafail TasakisTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ariana IslamDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jannah Usama Abo-DoniaDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Samir ParekhTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alessandro LaganaDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-1134-0564

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
Development of a multi-omic clinical decision platform to guide personalized therapyR01CA244899 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PAREKH, SAMIR · 2020 to 2024
$2.8M
Targeting SOX11 in Mantle Cell LymphomaR01CA252222 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PAREKH, SAMIR, WANG, MICHAEL · 2020 to 2024
$2.8M
NCI NIH HHS P30 CA196521NCI NIH HHS R01 CA244899NCI NIH HHS R01 CA252222
6 · The paper itself

Abstract

Background: Multiple myeloma (MM) is a hematological malignancy characterized by the clonal proliferation of malignant plasma cells within the bone marrow. The disease's complexity is underpinned by a variety of genetic and molecular abnormalities that drive its progression. Methods: This review was conducted through a state-of-The-art literature search, primarily utilizing PubMed to gather peer-reviewed articles. We focused on the most comprehensive and cited studies to ensure a thorough understanding of the genetic and molecular landscapes of MM. Results: We detail primary and secondary alterations such as translocations, hyperdiploidy, single nucleotide variants (SNVs), copy number alterations (CNAs), gene fusions, epigenetic modifications, non-coding RNAs, germline predisposing variants, and the influence of the tumor microenvironment (TME). Our analysis highlights the heterogeneity of MM and the challenges it poses in treatment and prognosis, emphasizing the distinction between driver mutations, which actively contribute to oncogenesis, and passenger mutations, which arise due to genomic instability and do not contribute to disease progression. Conclusion & Future Perspectives: We report key controversies and challenges in defining the genetic drivers of MM, and examine their implications for future therapeutic strategies. We discuss the importance of systems biology approaches in understanding the dependencies and interactions among these alterations, particularly highlighting the impact of double and triple-hit scenarios on disease outcomes. By advancing our understanding of the molecular drivers and their interactions, this review sets the stage for novel therapeutic targets and strategies, ultimately aiming to improve clinical outcomes in MM patients.

Indexed as

cancerepigeneticsfusionsmutationsmyelomancRNAtranslocations

Identifiers

PMID39723112
PMCPMC11669356

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.