Evidence map›Paper›PMID 41663214›Full record

ArticleRNA biology2026

Profound alterations of cancer transcriptomes by the RNase L inhibitor ABCE1 through the modulation of UU/UA-dinucleotide rich transcript abundance.

Edward Hitti, Tala Bakheet, Linah Mahmoud, Nada Al-Mutairi, Latifa Alhaj, Fahad Al-Zoghaibi, Khalid S A Khabar

Abstract read
In one paragraph

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Edward HittiMolecular BioMedicine Department, Research and Innovation, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.ORCID 0000-0003-1587-2824
Tala BakheetMolecular BioMedicine Department, Research and Innovation, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Linah MahmoudMolecular BioMedicine Department, Research and Innovation, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Nada Al-MutairiMolecular BioMedicine Department, Research and Innovation, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Latifa AlhajMolecular BioMedicine Department, Research and Innovation, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Fahad Al-ZoghaibiMolecular BioMedicine Department, Research and Innovation, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Khalid S A KhabarMolecular BioMedicine Department, Research and Innovation, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumorigenesis is commonly driven by genetic mutations and disruptions in cellular signalling pathways. Here we show that the oncogenic overexpression of the RNase L inhibitor ABCE1, a component of interferon signalling, leads to distinct and extensive deviations in cancer transcriptomes. RNase L is a cellular endonuclease that cleaves RNA molecules at specific UU and UA dinucleotide sites. Typically, it is activated by viral infections and interferon signalling leading to targeting and destruction of UU/UA-rich viral and cellular mRNA. RNase L has also homoeostatic and tumour suppressive roles. Relying on patient transcriptomic data, we show that ABCE1 is extensively overexpressed in colorectal cancer (CRC) and to a lesser extent in lung cancer. This upregulation was strongly associated with the co-upregulation of almost all UU/UA rich transcripts and downregulation of those that are UU/UA-poor. Many of upregulated mRNAs code for proteins involved in cell cycle regulation and mitosis. Accordingly, the knockdown of ABCE1 in the CRC cell line HT29 led to reduced proliferation. Surprisingly, the very high ABCE1 levels were associated with improved patient survival in CRC. This observation might be related to an anti-ABCE1-specific immune response due to the induction of tumour-reactive cytotoxic T lymphocytes by ABCE1 as previously reported. In lung cancer ABCE1 overexpression is milder and is associated with poor survival. We report a measurable, specific, and extensive modulation of cancer transcriptomes by the oncogenic overexpression of a component of interferon signalling with unexpected outcomes on patient survival.

Indexed as

Colorectal NeoplasmsEndoribonucleasesGene Expression Regulation, NeoplasticTranscriptomeATP-Binding Cassette TransportersCell Line, TumorCell ProliferationGene Expression ProfilingHumansLung NeoplasmsRNA, Messenger2-5A-dependent ribonucleaseABCE1 protein, humanATP-Binding Cassette TransportersEndoribonucleasesRNA, MessengerABCE1colorectal adenocarcinomalung adenocarcinomaRNase LUU/UA dinucleotides

Identifiers

PMID41663214
PMCPMC12915867

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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.