Evidence map›Paper›PMID 41405406›Full record

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

EIF1AX Nucleolar Condensates Enhance Susceptibilities for the Management of Endometrial Cancer.

Chengyu Lv, Zihang Lin, Jiandong Sun, Yuhong Ye, Qibin Wu, Liangzhi Cai, Dabin Liu, Pengming Sun, Shie Wang

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. 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

9 authors.

Chengyu LvFujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, P. R. China.ORCID https://orcid.org/0000-0002-9824-7858
Zihang LinKey Laboratory of Stem Cell Engineering and Regenerative Medicine of Fujian Province University, Fujian Medical University, Fuzhou, 350122, P. R. China.ORCID https://orcid.org/0000-0002-2427-0000
Jiandong SunKey Laboratory of Stem Cell Engineering and Regenerative Medicine of Fujian Province University, Fujian Medical University, Fuzhou, 350122, P. R. China.ORCID https://orcid.org/0000-0002-1355-2475
Yuhong YeDepartment of Pathology, The First Affiliated Hospital of Fujian Medical University, Fujian Medical University, Fuzhou, 350005, P. R. China.
Qibin WuFujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, P. R. China.
Liangzhi CaiFujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, P. R. China.
Dabin LiuFujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, P. R. China.
Pengming SunFujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, P. R. China.ORCID https://orcid.org/0000-0002-5072-6091
Shie WangFujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, P. R. China.ORCID https://orcid.org/0000-0001-6399-7037

Funding

Fujian Maternity and Child Health Hospital Foundation YCXY23-05Fujian Provincial Health Technology Project 2021Y9158Fujian Provincial Natural Science Foundation of China 2022J011031National Natural Science Foundation of China 825036128Science and Technology Innovation Foundation of Fujian Province 2023Y9003Scientific Research Project of National Key Clinical Specialty Construction Project 2022YBL-JB-07Startup Fund for Scientific Research of Fujian Medical University 2021QH1189
6 · The paper itself

Abstract

Endometrial cancer harboring TP53 aberrations presents a significant therapeutic challenge due to the lack of druggable targets. A promising strategy involves inducing senescence in cancer cells followed by targeted elimination using senolytic agents. The preliminary findings indicated that the aberrant subcellular localization of EIF1AX in endometrial cancer is significantly correlated with a poor prognosis. In this study, a compound library is employed to screen for therapeutic agents that induce the nuclear localization of EIF1AX in endometrial cancer cells, followed by a CRISPR library screen to identify senolytic compounds. The results demonstrated that the combination of 2,5-MeC and dacinostat effectively inhibited tumor growth. Mechanistically, co-immunoprecipitation mass spectrometry and cleavage under targets and tagmentation sequencing analyses demonstrated that 2,5-MeC acts as a potent inducer of EIF1AX nucleolar translocation. This translocation promoted senescence by recruiting DDX21 to form nucleolar aggregates, which suppressed rDNA transcription. Additionally, RNA sequencing and antibody array analyses revealed that the synthetic lethality of 2,5-MeC and dacinostat is mediated through the activation of the JNK/MAPK signaling pathway. Collectively, these findings highlight a novel therapeutic strategy for TP53-aberrant endometrial cancer.

Indexed as

Cell NucleolusEndometrial NeoplasmsEukaryotic Initiation Factor-1AnimalsCell Line, TumorFemaleHumansMiceTumor Suppressor Protein p53Eukaryotic Initiation Factor-1eukaryotic peptide initiation factor-1ATumor Suppressor Protein p532,5‐MeCdacinostatDDX21EIF1AXendometrial cancersynthetic lethal

Identifiers

PMID41405406
PMCPMC12948210

What Socratic holds

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LicenceCC BY
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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 Socratic graph.