Evidence map›Paper›PMID 39903771›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Radiotherapy-Associated Cellular Senescence and EMT Alterations Contribute to Distinct Disease Relapse Patterns in Locally Advanced Cervical Cancer.

Lei Zhang, Jun Ma, Jun Zhang, Minjie Hu, Jinlin Cheng, Bin Hu, Junjun Zhou, Di Zhou, Yongrui Bai, Xiumei Ma and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

13 authors.

Lei ZhangDepartment of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Jun MaEye Institute, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200031, China.
Jun ZhangCenter for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences, Fudan University, Guangzhou, 511400, China.
Minjie HuDepartment of Radiation Oncology, The First Hospital of Lanzhou University, Lanzhou University, Lanzhou, 730000, China.
Jinlin ChengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310003, China.
Bin HuDepartment of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Junjun ZhouDepartment of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Di ZhouDepartment of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Yongrui BaiDepartment of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Xiumei MaDepartment of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Jianming TangDepartment of Radiation Oncology, The First Hospital of Lanzhou University, Lanzhou University, Lanzhou, 730000, China.
Haiyan ChenDepartment of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
Ying JingCenter for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences, Fudan University, Guangzhou, 511400, China.ORCID https://orcid.org/0000-0001-6364-6130

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-XD202001/zb-0011Incubating Program for Clinical Innovation of Renji Hospital PYDY-DZX-009National Natural Science Foundation of China 81903129National Natural Science Foundation of China 82272747Science and Technology Commission of Shanghai Municipality 21ZR1438500Science and Technology Commission of Shanghai Municipality 23ZR1438900Shanghai Pujiang Program 22PJ1409000
6 · The paper itself

Abstract

A notable number of locally advanced cervical carcinoma (LACC) patients experience local or distant disease relapse following radiotherapy. The contribution of tumor microenvironment (TME) to tumor recurrence at different sites remains unclear. Here, single-nucleus RNA sequencing data from 28 pre- and on-treatment LACC samples from patients with different disease relapse patterns is analyzed. The findings revealed opposing alterations in the expression levels of the cellular senescence pathway after radiotherapy in patients with local and distant relapses. In contrast, an increase in the expression of the epithelial-mesenchymal transition module after radiotherapy in both relapse groups is observed. Cell-cell interactions, drug-target expression analyses in malignant cells after radiation, and multiplex immunofluorescence of tumor tissue identified interleukin-1 receptor type I (IL1R1) as a potential therapeutic target. It is demonstrated that combining the IL1R1 inhibitor anakinra with radiation can mitigate the effects of radiation on tumor cells. This study highlights the distinct roles of cellular senescence and EMT in tumor recurrence.

Indexed as

Cellular SenescenceEpithelial-Mesenchymal TransitionNeoplasm Recurrence, LocalUterine Cervical NeoplasmsFemaleHumansTumor Microenvironmentcellular senescencecervical squamous carcinomadisease relapse patternepithelial‐mesenchymal transitionradiotherapysingle‐nucleus RNA sequencing

Identifiers

PMID39903771
PMCPMC11948074

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.