Evidence map›Paper›PMID 42147169›Full record

ArticleResearch square2026

Exon-skipping antisense oligonucleotides targeting SUMO1 and SUMO2 demonstrate chemosensitizing effects in NSCLC cells in tissue culture.

Andrea Garcia-Morin, Rebeca Orozco-Sepulveda, Yesenia Juarez-Vargas, Claudia Banuelos, Isabel Gutierrez-Zubiate, German Rosas-Acosta

Abstract readPreprint
In one paragraph

Article in Research square, 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

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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

6 authors.

Andrea Garcia-MorinThe University of Texas at El Paso.
Rebeca Orozco-SepulvedaThe University of Texas at El Paso.
Yesenia Juarez-VargasThe University of Texas at El Paso.
Claudia BanuelosThe University of Texas at El Paso.
Isabel Gutierrez-ZubiateThe University of Texas at El Paso.
German Rosas-AcostaThe University of Texas at El Paso.

Funding

UTEP Border Biomedical Research CenterU54MD007592 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI ARSHAD M. KHAN · 2019 to 2026
$35.1M
NIMHD NIH HHS U54 MD007592
6 · The paper itself

Abstract

Lung cancer remains a leading cause of cancer-related death, highlighting the urgent need for new treatment strategies. SUMOylation, a post-translational modification that regulates DNA repair, replication, and cell cycle progression, is often increased in cancers and is a promising therapeutic target. Previously, we identified alternative splicing events affecting the SUMO transcripts, resulting in variant mRNAs coding for both non-conjugatable (SUMO1α and SUMO2α) and conjugatable (SUMO3α) isoforms-potentially helping to regulate overall cellular SUMOylation. In this study, we investigated whether increasing the levels of the transcripts coding for the non-conjugatable isoforms could decrease SUMOylation and improve chemotherapy efficacy in non-small cell lung cancer (NSCLC). To test this, we designed two sets of exon-skipping morpholinos called SUM2IN and SUMO1IN, targeting the pre-mRNAs of SUMO2 and SUMO1, respectively, and tested them in A549 and HCC827 cell lines. While treatment with SUM2IN significantly increased SUMO2α mRNA and reduced overall SUMO1 and SUMO2 conjugation in all tested cell lines, SUM1IN affected the proportion of SUMO1 mRNA variants and overall SUMO conjugation in a cell-type-specific manner. Still, both SUM2IN and SUM1IN altered cell cycle progression, decreased cell growth, and enhanced the cytotoxic effects of cisplatin and etoposide in A549 and HCC827 cells, while having a notably smaller impact on these parameters in the non-malignant lung fibroblast cell line HEL-299. Therefore, SUM2IN and SUM1IN display chemosensitizing activity against NSCLC and provide a strong foundation for developing SUMO-targeted chemosensitizers for NSCLC and other aggressive human cancers.

Identifiers

PMID42147169
PMCPMC13174819

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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.