Evidence map›Paper›PMID 41298233›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Unique Chimeric RNA: ERCC1-iASPP Drives Benzo[a]pyrene-Induced Lung Carcinogenesis via Dual Coding and Non-Coding Mechanisms.

Mingming Shan, Mingyang Xiao, Liang Zhang, Shen Wang, Jiahang Wu, Kang Cao, Yujin Li, Guopei Zhang, Junwei Xie, Xiaobo Lu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Mingming ShanKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education (China Medical University), Shenyang, 110122, P. R. China.
Mingyang XiaoKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education (China Medical University), Shenyang, 110122, P. R. China.
Liang ZhangDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Shenyang, 110042, P. R. China.
Shen WangKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education (China Medical University), Shenyang, 110122, P. R. China.
Jiahang WuKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education (China Medical University), Shenyang, 110122, P. R. China.
Kang CaoKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education (China Medical University), Shenyang, 110122, P. R. China.
Yujin LiKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education (China Medical University), Shenyang, 110122, P. R. China.
Guopei ZhangKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education (China Medical University), Shenyang, 110122, P. R. China.
Junwei XieDepartment of Thoracic Surgery, Liaoning Cancer Hospital & Institute, Shenyang, 110042, P. R. China.
Xiaobo LuKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education (China Medical University), Shenyang, 110122, P. R. China.ORCID https://orcid.org/0000-0002-3136-9439

Funding

National Natural Science Foundation of China 82173567
6 · The paper itself

Abstract

Genetic variation at 19q13.3 critically modulates chemical carcinogen-induced lung carcinogenesis, particularly in mediating the activity of benzo[a]pyrene (B[a]P), a major polycyclic aromatic hydrocarbon (PAH) carcinogen. The adjacent genes ERCC1 and iASPP within this locus respectively coordinate nucleotide excision repair of PAH-induced DNA damage and suppression of apoptotic pathways. Their synergistic interaction regulates pivotal molecular events during PAH-driven lung carcinogenesis, ultimately impacting cellular repair, proliferation, and apoptosis. Chimeric RNAs have been increasingly recognized as promising biomarkers and therapeutic targets in cancer. However, the characterization of lung cancer-specific chimeric RNAs in the context of chemical carcinogenesis remains limited. This study identifies and characterizes ERCC1-iASPP, a novel chimeric RNA derived from the neighboring genes ERCC1 and iASPP, which exerts tumor-promoting functions via coding and non-coding mechanisms. First, the chimeric transcript encodes a previously uncharacterized protein, Ei, which enhances USP45-mediated deubiquitination of ERCC1, thereby stabilizing ERCC1 protein. Additionally, ERCC1-iASPP also functions as a (long non-coding chimeric RNA, lnccRNA): in the cytoplasm, it acts as a (competing endogenous RNA, ceRNA) by sequestering miR-143-3p, leading to derepression of CDK1 and PGK1 and subsequent activation of oncogenic pathways, while in the nucleus, ERCC1-iASPP further promotes transcriptional activation by recruiting STAT4 to the PGK1 promoter. Collectively, these findings establish ERCC1-iASPP as a bifunctional RNA with both protein-coding and non-coding regulatory roles that cooperatively promote B[a]P-induced lung tumorigenesis. This study highlights ERCC1-iASPP as a potential diagnostic and therapeutic target in smoking-related lung cancer.

Indexed as

Benzo(a)pyreneCarcinogenesisDNA-Binding ProteinsEndonucleasesIntracellular Signaling Peptides and ProteinsLung NeoplasmsAnimalsHumansMiceRepressor ProteinsBenzo(a)pyreneDNA-Binding ProteinsEndonucleasesERCC1 protein, humanIntracellular Signaling Peptides and ProteinsPPP1R13L protein, humanRepressor Proteinsbifunctional RNAchimeric RNAERCC1‐iASPPlung cancermalignant transformationpolycyclic aromatic hydrocarbons

Identifiers

PMID41298233
PMCPMC12884745

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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.