Evidence map›Paper›PMID 28151711›Full record

ReviewClinical cancer research : an official journal of the American Association for Cancer Research2016

Gene Expression Profiles in Myeloma: Ready for the Real World?

Raphael Szalat, Herve Avet-Loiseau, Nikhil C Munshi

Abstract readEditorialReview
In one paragraph

Review in Clinical cancer research : an official journal of the American Association for Cancer Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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  7. Article
  8. Deep Transcriptome Profiling of Multiple Myeloma Using Quantitative Phenotypes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  9. Mouse models of human multiple myeloma subgroups.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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  17. Review
  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

3 authors.

Raphael SzalatMedical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Herve Avet-LoiseauCentre de Recherche en Cancerologie de Toulouse, Institut National de la Sante et de la Recherche Medicale, Toulouse, France. nikhil_munshi@dfci.harvard.edu avet-loiseau.h@chu-toulouse.fr.
Nikhil C MunshiMedical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts. nikhil_munshi@dfci.harvard.edu avet-loiseau.h@chu-toulouse.fr.

Funding

Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C., MUNSHI, NIKHIL C. · 2003 to 2023
$45.0M
Targeting Genomic Instability and Evolution in MyelomaP01CA155258 · NCI · DANA-FARBER CANCER INST · PI RICHARD YOUNG · 2011 to 2026
$32.5M
MOLECULAR MANIPULATION TO ENHANCE ANTI-MYELOMA RESPONSEI01BX001584 · VA · VA BOSTON HEALTH CARE SYSTEM · PI MUNSHI, NIKHIL C. · 2013 to 2025
–
BLRD VA I01 BX001584NCI NIH HHS P01 CA155258NCI NIH HHS P50 CA100707
6 · The paper itself

Abstract

Multiple myeloma is a plasma cell malignancy characterized by molecular and clinical heterogeneity. The outcome of the disease has been dramatically improved with the advent of new drugs in the past few years. However, even in this context of increasing therapeutic options, important challenges remain, such as accurately evaluating patients' prognosis and predicting sensitivity to specific treatments and drug combinations. Transcriptomic studies have largely contributed to help decipher multiple myeloma complexity, characterizing multiple myeloma subgroups distinguished by different outcomes. Microarrays and, more recently, RNA sequencing allow evaluation of expression of coding and noncoding genes, alternate splicing events, mutations, and novel transcriptome modifiers, providing new information regarding myeloma biology, prognostication, and therapy. In this review, we discuss the role and impact of gene expression profiling studies in myeloma. Clin Cancer Res; 22(22); 5434-42. ©2016 AACR SEE ALL ARTICLES IN THIS CCR FOCUS SECTION, "MULTIPLE MYELOMA MULTIPLYING THERAPIES".

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticHumansMultiple MyelomaPrognosisTranscriptome

Identifiers

PMID28151711
PMCPMC5546147

What OpenQuestion holds

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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.