Evidence map›Paper›PMID 35019856›Full record

ArticleBlood cancer discovery2022

Translational Activation of ATF4 through Mitochondrial Anaplerotic Metabolic Pathways Is Required for DLBCL Growth and Survival.

Meng Li, Matthew R Teater, Jun Young Hong, Noel R Park, Cihangir Duy, Hao Shen, Ling Wang, Zhengming Chen, Leandro Cerchietti, Shawn M Davidson and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Blood cancer discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. The metabolic plasticity of B cells.Frontiers in molecular biosciences · 2022
    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

12 authors at 3 institutions in 1 country.

Meng LiDepartment of Medicine, Division of Hematology & Medical Oncology, Weill Cornell Medicine, New York, New York.
Matthew R TeaterDepartment of Medicine, Division of Hematology & Medical Oncology, Weill Cornell Medicine, New York, New York.ORCID 0000-0001-9415-1659
Jun Young HongDepartment of Chemistry and Chemical Biology, Howard Hughes Medical Institute, Cornell University, Ithaca, New York.
Noel R ParkLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey.ORCID 0000-0002-1392-6684
Cihangir DuyDepartment of Medicine, Division of Hematology & Medical Oncology, Weill Cornell Medicine, New York, New York.
Hao ShenDepartment of Medicine, Division of Hematology & Medical Oncology, Weill Cornell Medicine, New York, New York.
Ling WangDepartment of Medicine, Division of Hematology & Medical Oncology, Weill Cornell Medicine, New York, New York.
Zhengming ChenDivision of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, New York.
Leandro CerchiettiDepartment of Medicine, Division of Hematology & Medical Oncology, Weill Cornell Medicine, New York, New York.ORCID 0000-0003-0608-1350
Shawn M DavidsonLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey.
Hening LinDepartment of Chemistry and Chemical Biology, Howard Hughes Medical Institute, Cornell University, Ithaca, New York. amm2014@med.cornell.edu hl379@cornell.edu.
Ari M MelnickDepartment of Medicine, Division of Hematology & Medical Oncology, Weill Cornell Medicine, New York, New York. amm2014@med.cornell.edu hl379@cornell.edu.ORCID 0000-0002-8074-2287
Cornell University · USHoward Hughes Medical Institute · USPrinceton University · US

Funding

Targeting Epigenetic Circuits in B-Cell LymphomasR35CA220499 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MELNICK, ARI M. · 2018 to 2024
$7.2M
NCI NIH HHS R35 CA220499
6 · The paper itself

Abstract

Diffuse large B-cell lymphomas (DLBCL) are broadly dependent on anaplerotic metabolism regulated by mitochondrial SIRT3. Herein we find that translational upregulation of ATF4 is coupled with anaplerotic metabolism in DLBCLs due to nutrient deprivation caused by SIRT3 driving rapid flux of glutamine into the tricarboxylic acid (TCA) cycle. SIRT3 depletion led to ATF4 downregulation and cell death, which was rescued by ectopic ATF4 expression. Mechanistically, ATF4 translation is inhibited in SIRT3-deficient cells due to the increased pools of amino acids derived from compensatory autophagy and decreased glutamine consumption by the TCA cycle. Absence of ATF4 further aggravates this state through downregulation of its target genes, including genes for amino acid biosynthesis and import. Collectively, we identify a SIRT3-ATF4 axis required to maintain survival of DLBCL cells by enabling them to optimize amino acid uptake and utilization. Targeting ATF4 translation can potentiate the cytotoxic effect of SIRT3 inhibitor to DLBCL cells. SIGNIFICANCE: We discovered the link between SIRT3 and ATF4 in DLBCL cells, which connected lymphoma amino acid metabolism with ATF4 translation via metabolic stress signals. SIRT3-ATF4 axis is required in DLBCL cells regardless of subtype, which indicates a common metabolic vulnerability in DLBCLs and can serve as a therapeutic target.

Indexed as

Lymphoma, Large B-Cell, DiffuseSirtuin 3Activating Transcription Factor 4Amino AcidsCitric Acid CycleGlutamineHumansMitochondriaActivating Transcription Factor 4Amino AcidsATF4 protein, humanGlutamineSirtuin 3

Identifiers

PMID35019856
PMCPMC9789686
OpenAlexW3213735333

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.