Evidence map›Paper›PMID 27516441›Full record

ArticleBlood2016

Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma.

Niels Weinhold, Cody Ashby, Leo Rasche, Shweta S Chavan, Caleb Stein, Owen W Stephens, Ruslana Tytarenko, Michael A Bauer, Tobias Meissner, Shayu Deshpande and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 2 pooled it
12.5field-weighted citation impact, top 1% of its field
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

150 citing papers in PubMed, 2 syntheses or guidelines pooled it, 211 citations in OpenAlex.

  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. Trial
  5. Trial
  6. Longitudinal fluorescenceHaematologica · 2017
    Trial
  7. Article
  8. iScience · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Risk factors for multiple myeloma and its precursor diseases.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  17. Review
  18. Refining High-Risk Multiple Myeloma: Advancements in Genomic, Clinical, and Prognostic Criteria.Mediterranean journal of hematology and infectious diseases · 2025
    Review
  19. Review
  20. Review

90 more citing papers are in PubMed but not listed here.

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

25 authors at 1 institution in 1 country.

Niels WeinholdMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Cody AshbyMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Leo RascheMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Shweta S ChavanMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Caleb SteinMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Owen W StephensMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Ruslana TytarenkoMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Michael A BauerMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Tobias MeissnerDepartment of Molecular and Experimental Medicine, Avera Cancer Institute, La Jolla, CA.
Shayu DeshpandeMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Purvi H PatelMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Timea BuzderMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Gabor MolnarMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Erich A PetersonMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Frits van RheeMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Maurizio ZangariMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Sharmilan ThanendrarajanMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Carolina SchinkeMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Erming TianMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Joshua EpsteinMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Bart BarlogieMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Faith E DaviesMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Christoph J HeuckMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Brian A WalkerMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
Gareth J MorganMyeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR; and.
University of Arkansas for Medical Sciences · US

Funding

Tumor Cell-Microenvironment Interactions in the Molecular Pathogenesis of MultiplP01CA055819 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI BELLAMY, WILLIAM T · 1993 to 2013
$49.7M
NCI NIH HHS P01 CA055819
6 · The paper itself

Abstract

To elucidate the mechanisms underlying relapse from chemotherapy in multiple myeloma, we performed a longitudinal study of 33 patients entered into Total Therapy protocols investigating them using gene expression profiling, high-resolution copy number arrays, and whole-exome sequencing. The study illustrates the mechanistic importance of acquired mutations in known myeloma driver genes and the critical nature of biallelic inactivation events affecting tumor suppressor genes, especially TP53, the end result being resistance to apoptosis and increased proliferation rates, which drive relapse by Darwinian-type clonal evolution. The number of copy number aberration changes and biallelic inactivation of tumor suppressor genes was increased in GEP70 high risk, consistent with genomic instability being a key feature of high risk. In conclusion, the study highlights the impact of acquired genetic events, which enhance the evolutionary fitness level of myeloma-propagating cells to survive multiagent chemotherapy and to result in relapse.

Indexed as

Clonal EvolutionGenes, Tumor SuppressorMutationAdultAgedCell ProliferationDisease ProgressionDNA Copy Number VariationsFemaleGene Expression ProfilingGenes, p53Genes, rasGenomic InstabilityHumansLongitudinal StudiesMalePhosphatidylinositol 3-Kinases

Identifiers

PMID27516441
PMCPMC5043128
OpenAlexW2525613924

What OpenQuestion holds

Textmetadata
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.