Evidence map›Paper›PMID 33805803›Full record

ReviewCancers2021

Multiple Myeloma: Heterogeneous in Every Way.

Anaïs Schavgoulidze, Titouan Cazaubiel, Aurore Perrot, Hervé Avet-Loiseau, Jill Corre

Abstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. International Myeloma Society/International Myeloma Working Group Consensus Recommendations on the Definition of High-Risk Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Guideline
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Plasma expression of long non-coding RNAFrontiers in oncology · 2026
    Article
  11. Review
  12. Targets for CAR Therapy in Multiple Myeloma.International journal of molecular sciences · 2025
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors.

Anaïs SchavgoulidzeCentre de Recherche en Cancérologie de Toulouse, Institut National de la Santé et de la Recherche, Médicale U1037, 31059 Toulouse, France.ORCID 0000-0002-5526-4279
Titouan CazaubielHematology Department, University Hospital, 33600 Bordeaux, France.
Aurore PerrotCentre de Recherche en Cancérologie de Toulouse, Institut National de la Santé et de la Recherche, Médicale U1037, 31059 Toulouse, France.ORCID 0000-0003-0131-8689
Hervé Avet-LoiseauCentre de Recherche en Cancérologie de Toulouse, Institut National de la Santé et de la Recherche, Médicale U1037, 31059 Toulouse, France.
Jill CorreCentre de Recherche en Cancérologie de Toulouse, Institut National de la Santé et de la Recherche, Médicale U1037, 31059 Toulouse, France.ORCID 0000-0003-1580-6106

Funding

Targeting Genomic Instability and Evolution in MyelomaP01CA155258 · NCI · DANA-FARBER CANCER INST · PI Jill Corre · 2011 to 2026
$32.5M
NCI NIH HHS P01 CA155258
6 · The paper itself

Abstract

Multiple myeloma (MM) is a hematological malignancy characterized by the accumulation of tumor plasma cells (PCs) in the bone marrow (BM). Despite considerable advances in terms of treatment, patients' prognosis is still very heterogeneous. Cytogenetics and minimal residual disease both have a major impact on prognosis. However, they do not explain all the heterogeneity seen in the outcomes. Their limitations are the result of the emergence of minor subclones missed at diagnosis, detected by sensible methods such as single-cell analysis, but also the non-exploration in the routine practice of the spatial heterogeneity between different clones according to the focal lesions. Moreover, biochemical parameters and cytogenetics do not reflect the whole complexity of MM. Gene expression is influenced by a tight collaboration between cytogenetic events and epigenetic regulation. The microenvironment also has an important impact on the development and the progression of the disease. Some of these determinants have been described as independent prognostic factors and could be used to more accurately predict patient prognosis and response to treatment.

Indexed as

cytogeneticsepigeneticsmicroenvironmentmultiple myelomaprognosis

Identifiers

PMID33805803
PMCPMC7998947

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.