Evidence map›Paper›PMID 37424047›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Single-Nucleus Transcriptome Profiling of Locally Advanced Cervical Squamous Cell Cancer Identifies Neural-Like Progenitor Program Associated with the Efficacy of Radiotherapy.

Lei Zhang, Jun Ma, Di Zhou, Junjun Zhou, Bin Hu, Xiumei Ma, Jianming Tang, Yongrui Bai, Haiyan Chen, Ying Jing

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  3. Article
  4. Article
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  8. Advances in cervical cancer: current insights and future directions.Cancer communications (London, England) · 2025
    Review
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  10. Review
  11. 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 at 4 institutions in 1 country.

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.
Di ZhouDepartment 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.
Bin HuDepartment 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.
Yongrui BaiDepartment of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, 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), Fudan University, Guangzhou, 511458, China.ORCID 0000-0001-6364-6130
Shanghai Jiao Tong University · CNEye & ENT Hospital of Fudan University · CNFirst Hospital of Lanzhou University · CNGuangzhou University · CN

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 81972854National Natural Science Foundation of China 82272747Science and Technology Commission of Shanghai Municipality 21ZR1438500Shanghai Pujiang Program 22PJ1409000
6 · The paper itself

Abstract

Radiotherapy is the first-line treatment for locally advanced cervical squamous cell cancer (CSCC). However, ≈50% of patients fail to respond to therapy and, in some cases, tumors progress after radical radiotherapy. Here, single-nucleus RNA-seq is performed to construct high-resolution molecular landscapes of various cell types in CSCC before and during radiotherapy, to better understand radiotherapy related molecular responses within tumor microenvironment. The results show that expression levels of a neural-like progenitor (NRP) program in tumor cells are significantly higher after radiotherapy and these are enriched in the tumors of nonresponding patients. The enrichment of the NRP program in malignant cells from the tumors of nonresponders in an independent cohort analyzed by bulk RNA-seq is validated. In addition, an analysis of The Cancer Genome Atlas dataset shows that NRP expression is associated with poor prognosis in CSCC patients. In vitro experiments on the CSCC cell line demonstrate that downregulation of neuregulin 1 (NRG1), a key gene from NRP program, is associated with decreased cell growth and increased sensitivity to radiation. Immunohistochemistry staining in cohort 3 validated key genes, NRG1 and immediate early response 3 from immunomodulatory program, as radiosensitivity regulators. The findings reveal that the expression of NRP in CSCC can be used to predict the efficacy of radiotherapy.

Indexed as

Bone NeoplasmsCarcinoma, Squamous CellUterine Cervical NeoplasmsFemaleGene Expression ProfilingHumansTumor Microenvironmentcancer-associated fibroblastscervical squamous cell cancerneural-like progenitorradiotherapysingle-nucleus transcriptome

Identifiers

PMID37424047
PMCPMC10477877
OpenAlexW4383710589

What OpenQuestion 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 OpenQuestion graph.