Evidence map›Paper›PMID 42889706›Full record

ArticleiScience2026

A common germline 3' UTR variant controls DDIT4 translation efficiency and stress responses in cancer cells.

Meriem Hadjer Hamadou, Laura Alunno, Tecla Venturelli, Samuel Valentini, Davide Dalfovo, Francesca Lorenzini, Alessia Mattivi, Vincenza Vigorito, Glenda Paola Grupelli, Alessandro Matte' and 14 more

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

24 authors.

Meriem Hadjer HamadouLaboratory of Transcriptional Networks, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Laura AlunnoLaboratory of Transcriptional Networks, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Tecla VenturelliLaboratory of Transcriptional Networks, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Samuel ValentiniLaboratory of Bioinformatics and Computational Genomics, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Davide DalfovoLaboratory of Bioinformatics and Computational Genomics, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Francesca LorenziniLaboratory of Experimental Biology, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Alessia MattiviArmenise-Harvard Laboratory of Cell Division, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Vincenza VigoritoArmenise-Harvard Laboratory of Cell Division, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Glenda Paola GrupelliCell Biology and Molecular Genetics Laboratory, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Alessandro Matte'Cell Analysis and Separation Core Facility, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Pamela GattoHigh-Throughput Screening (HTS) and Validation Core Facility, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Michael PancherHigh-Throughput Screening (HTS) and Validation Core Facility, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Chiara ValentiniNext Generation Sequencing (NGS) Core Facility, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Veronica De SanctisNext Generation Sequencing (NGS) Core Facility, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Roberto BertorelliNext Generation Sequencing (NGS) Core Facility, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Virginie MarcelRibosome, Translation and Cancer » Team, Centre de Recherche en Cancérologie de Lyon (CRCL), INSERM U1052, CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, 69008 Lyon, France.
Emilio CusanelliCell Biology and Molecular Genetics Laboratory, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Stefano FreddiDepartment of Oncology and Hematology-Oncology, Università degli Studi di Milano, Milan, Italy.
Giovanni BertalotUnità Operativa Multizonale di Anatomia Patologica, ASUIT, Trento, Italy.
Sara ZaccaraDepartment of Systems Biology, Columbia University Irving Medical Center, New York, NY 10027-6907, USA.
Marina MioneLaboratory of Experimental Biology, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Luca L FavaArmenise-Harvard Laboratory of Cell Division, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Alessandro RomanelLaboratory of Bioinformatics and Computational Genomics, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.
Alberto IngaLaboratory of Transcriptional Networks, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Via Sommarive 9, 38123 Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic strategies for identifying and classifying variants that directly modulate ribosome engagement are lacking. Here, we develop and extensively validate a pipeline to identify translation-associated single-nucleotide polymorphisms (tranSNPs) by integrating analysis of total and polysome-associated mRNAs. Common variants showing allele-specific enrichment in polysomes, without corresponding changes in mRNA levels, were uncovered. We focused on rs1053639, a frequent germline SNP located in the 3' UTR of DNA damage-inducible transcript 4 (DDIT4), a key negative regulator of mTORC1. Using edited cell models, we showed that this variant controls DDIT4 protein output. Mechanistically, the two rs1053639 alleles differ in their interaction with the RNA-binding protein RBMX, leading to altered mRNA subcellular localization and translation. Functionally, allele-specific regulation of DDIT4 translation impacts stress-dependent mTORC1 repression and autophagy, resulting in divergent competitive fitness in co-culture or xenograft assays and response to therapeutic perturbations. Analysis of cancer patient datasets revealed an association between rs1053639 genotype and clinical outcome in colorectal cancer.

Indexed as

DDIT4ER-stressmTORp53polysome-profilingRBMXtranslation

Identifiers

PMID42889706
PMCPMC13670949

What OpenQuestion holds

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Registered trials

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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.