Evidence map›Paper›PMID 25101266›Full record

ReviewBioMed research international2014

Implications of heterogeneity in multiple myeloma.

Sanjay de Mel, Su Hong Lim, Moon Ley Tung, Wee-Joo Chng

Abstract readReview
In one paragraph

Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Trial
  2. Trial
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. CD46-Targeted Theranostics for PET and 225Ac-Radiopharmaceutical Therapy of Multiple Myeloma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  11. Review
  12. Article
  13. Response-Adapted Therapy for Newly Diagnosed Multiple Myeloma.Current hematologic malignancy reports · 2023
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

4 authors.

Sanjay de MelDepartment of Haematology-Oncology, National University Cancer Institute of Singapore, Singapore.
Su Hong LimDepartment of Haematology-Oncology, National University Cancer Institute of Singapore, Singapore.
Moon Ley TungDepartment of Haematology-Oncology, National University Cancer Institute of Singapore, Singapore.
Wee-Joo ChngDepartment of Haematology-Oncology, National University Cancer Institute of Singapore, Singapore ; Cancer Science Institute of Singapore, National University of Singapore, Singapore ; National University Health System, NUHS Tower Block, Level 7, 1E Lower Kent Ridge Road, Singapore 119228.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma is the second most common hematologic malignancy in the world. Despite improvement in outcome, the disease is still incurable for most patients. However, not all myeloma are the same. With the same treatment, some patients can have very long survival whereas others can have very short survival. This suggests that there is underlying heterogeneity in myeloma. Studies over the years have revealed multiple layers of heterogeneity. First, clinical parameters such as age and tumor burden could significantly affect outcome. At the genetic level, there are also significant heterogeneity ranging for chromosome numbers, genetic translocations, and genetic mutations. At the clonal level, there appears to be significant clonal heterogeneity with multiple clones coexisting in the same patient. At the cell differentiation level, there appears to be a hierarchy of clonally related cells that have different clonogenic potential and sensitivity to therapies. These levels of complexities present challenges in terms of treatment and prognostication as well as monitoring of treatment. However, if we can clearly delineate and dissect this heterogeneity, we may also be presented with unique opportunities for precision and personalized treatment of myeloma. Some proof of concepts of such approaches has been demonstrated.

Indexed as

Chromosome AberrationsGenetic HeterogeneityB-LymphocytesCell DifferentiationHumansMultiple MyelomaMutationTranslocation, Genetic

Identifiers

PMID25101266
PMCPMC4102035

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Registered trials

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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.