Evidence map›Paper›PMID 23536725›Full record

ArticleMolecular cancer therapeutics2013

Profiling bortezomib resistance identifies secondary therapies in a mouse myeloma model.

Holly A F Stessman, Linda B Baughn, Aaron Sarver, Tian Xia, Raamesh Deshpande, Aatif Mansoor, Susan A Walsh, John J Sunderland, Nathan G Dolloff, Michael A Linden and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 78 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Adhesion molecules in multiple myeloma oncogenesis and targeted therapy.International journal of hematologic oncology · 2022
    Review
  9. Article
  10. Drug resistance and minimal residual disease in multiple myeloma.Cancer drug resistance (Alhambra, Calif.) · 2022
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. The Nrf2/PGC1Oxidative medicine and cellular longevity · 2020
    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

14 authors at 4 institutions in 1 country.

Holly A F StessmanDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN 55455, USA.
Linda B Baughn
Aaron Sarver
Tian Xia
Raamesh Deshpande
Aatif Mansoor
Susan A Walsh
John J Sunderland
Nathan G Dolloff
Michael A Linden
Fenghuang Zhan
Siegfried Janz
Chad L Myers
Brian G Van Ness
Penn State Milton S. Hershey Medical Center · USUniversity of Iowa · USUniversity of Minnesota · USPennsylvania State University · US

Funding

Defining genetic pathways of plasma-cell neoplasiaR01CA151354 · NCI · UNIVERSITY OF IOWA · PI JANZ, SIEGFRIED · 2010 to 2022
$3.9M
NCI NIH HHS R01 CA151354
6 · The paper itself

Abstract

Multiple myeloma is a hematologic malignancy characterized by the proliferation of neoplastic plasma cells in the bone marrow. Although the first-to-market proteasome inhibitor bortezomib (Velcade) has been successfully used to treat patients with myeloma, drug resistance remains an emerging problem. In this study, we identify signatures of bortezomib sensitivity and resistance by gene expression profiling (GEP) using pairs of bortezomib-sensitive (BzS) and bortezomib-resistant (BzR) cell lines created from the Bcl-XL/Myc double-transgenic mouse model of multiple myeloma. Notably, these BzR cell lines show cross-resistance to the next-generation proteasome inhibitors, MLN2238 and carfilzomib (Kyprolis) but not to other antimyeloma drugs. We further characterized the response to bortezomib using the Connectivity Map database, revealing a differential response between these cell lines to histone deacetylase (HDAC) inhibitors. Furthermore, in vivo experiments using the HDAC inhibitor panobinostat confirmed that the predicted responder showed increased sensitivity to HDAC inhibitors in the BzR line. These findings show that GEP may be used to document bortezomib resistance in myeloma cells and predict individual sensitivity to other drug classes. Finally, these data reveal complex heterogeneity within multiple myeloma and suggest that resistance to one drug class reprograms resistant clones for increased sensitivity to a distinct class of drugs. This study represents an important next step in translating pharmacogenomic profiling and may be useful for understanding personalized pharmacotherapy for patients with multiple myeloma.

Indexed as

Gene Expression ProfilingGenes, mycAnimalsApoptosisbcl-X ProteinBoronic AcidsBortezomibCell Line, TumorCell ProliferationDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHistone Deacetylase InhibitorsHistone DeacetylasesHumansMiceMice, TransgenicBcl2l1 protein, mousebcl-X ProteinBoronic AcidsBortezomibHistone Deacetylase InhibitorsHistone DeacetylasesPyrazines

Identifiers

PMID23536725
PMCPMC4076840
OpenAlexW2149340130

What OpenQuestion holds

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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.