Evidence map›Paper›PMID 30404918›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

NOXA genetic amplification or pharmacologic induction primes lymphoma cells to BCL2 inhibitor-induced cell death.

Yuxuan Liu, Patrizia Mondello, Tatiana Erazo, Neeta Bala Tannan, Zahra Asgari, Elisa de Stanchina, Gouri Nanjangud, Venkatraman E Seshan, Shenqiu Wang, Hans-Guido Wendel and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

33 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. The Pt(International journal of molecular sciences · 2022
    Article
  13. Review
  14. Article
  15. Article
  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

11 authors at 1 institution in 1 country.

Yuxuan LiuDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065.
Patrizia MondelloDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065.ORCID 0000-0002-0355-3757
Tatiana ErazoDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065.
Neeta Bala TannanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065.
Zahra AsgariDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065.
Elisa de StanchinaAntitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY 10065.
Gouri NanjangudMolecular Cytogenetics Core, Memorial Sloan Kettering Cancer Center, New York, NY 10065.
Venkatraman E SeshanDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065.
Shenqiu WangCancer Biology and Genetics Program, Sloan Kettering Institute for Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065.
Hans-Guido WendelCancer Biology and Genetics Program, Sloan Kettering Institute for Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065.
Anas YounesDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065; younesa@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Translating Stress Response Targeted Therapy for B-Cell LymphomasP50CA192937 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ZELENETZ, ANDREW D. · 2016 to 2020
$10.9M
MSKCC Pilot Center for Precision Disease ModelingU54OD020355 · OD · SLOAN-KETTERING INST CAN RESEARCH · PI LOWE, SCOTT W., SOLIT, DAVID B. · 2015 to 2019
$9.9M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA192937NIH HHS U54 OD020355
6 · The paper itself

Abstract

Although diffuse large B cell lymphoma (DLBCL) cells widely express the BCL2 protein, they rarely respond to treatment with BCL2-selective inhibitors. Here we show that DLBCL cells harboring PMAIP1/NOXA gene amplification were highly sensitive to BCL2 small-molecule inhibitors. In these cells, BCL2 inhibition induced cell death by activating caspase 9, which was further amplified by caspase-dependent cleavage and depletion of MCL1. In DLBCL cells lacking NOXA amplification, BCL2 inhibition was associated with an increase in MCL1 protein abundance in a BIM-dependent manner, causing a decreased antilymphoma efficacy. In these cells, dual inhibition of MCL1 and BCL2 was required for enhanced killing. Pharmacologic induction of NOXA, using the histone deacetylase inhibitor panobinostat, decreased MCL1 protein abundance and increased lymphoma cell vulnerability to BCL2 inhibitors in vitro and in vivo. Our data provide a mechanistic rationale for combination strategies to disrupt lymphoma cell codependency on BCL2 and MCL1 proteins in DLBCL.

Indexed as

AnimalsApoptosisApoptosis Regulatory ProteinsCell Line, TumorCell ProliferationFemaleGene AmplificationHistone Deacetylase InhibitorsHumansLymphoma, Large B-Cell, DiffuseMiceMice, NudeMyeloid Cell Leukemia Sequence 1 ProteinPanobinostatProto-Oncogene Proteins c-bcl-2Xenograft Model Antitumor AssaysApoptosis Regulatory ProteinsBCL2 protein, humanHistone Deacetylase InhibitorsMyeloid Cell Leukemia Sequence 1 ProteinPanobinostatPMAIP1 protein, humanProto-Oncogene Proteins c-bcl-2apoptosisBCL2BIMlymphomaNOXA

Identifiers

PMID30404918
PMCPMC6255185
OpenAlexW2900113415

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.