Evidence map›Paper›PMID 37902414›Full record

ArticleCancer research2024

XPO1-Mediated mRNA Export of Genome Maintenance Regulators Drives Chemotherapy Resistance in Aggressive Lymphoma.

Gero Knittel, Hans Christian Reinhardt

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In one paragraph

Article in Cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Gero KnittelUniversity Hospital Essen, Department of Hematology and Stem Cell Transplantation, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0001-8395-3701
Hans Christian ReinhardtUniversity Hospital Essen, Department of Hematology and Stem Cell Transplantation, West German Cancer Center, German Cancer Consortium Partner Site Essen, Center for Molecular Biotechnology, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0001-5706-9349
Essen University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoid malignancy and displays vast genetic and transcriptomic heterogeneity. Current treatment guidelines recommend first-line chemoimmunotherapy consisting of an anthracycline backbone, which produces cure rates of approximately 65%. However, the remaining patients will face relapsed or refractory disease, which, even in the era of chimeric antigen receptor T cells, is difficult to treat. In this issue of Cancer Research, Marullo and colleagues investigate the biological underpinnings of the tumor-suppressive activity of the newly approved XPO1 inhibitor selinexor in the treatment of lymphoma. In a translational effort covering genomic and biochemical approaches, combined with in vivo validation experiments and a phase I clinical trial, they demonstrate that upon DNA damage, XPO1 selectively exports transcripts encoding proteins involved in genome maintenance via the RNA-binding proteins THOC4 and eIF4E. Pharmacologic interception of this export process enhances chemosensitivity in various lymphoma models, and combined selinexor plus chemoimmunotherapy displays a favorable toxicity profile and early evidence of efficacy in patients. See related article by Marullo et al., p. 101.

Indexed as

HydrazinesLymphoma, Large B-Cell, DiffuseActive Transport, Cell NucleusExportin 1 ProteinHumansRNA, MessengerTriazolesExportin 1 ProteinHydrazinesRNA, MessengerselinexorTriazolesXPO1 protein, human

Identifiers

PMID37902414
OpenAlexW4388014138

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.