Evidence map›Paper›PMID 40196732›Full record

ArticleFrontiers in oncology2025

Ultrasound-guided percutaneous radiofrequency ablation combined with anti-PD-1 for the treatment of prostate cancer: an experimental study.

Si Chen, Ruiqing Liu, Shaobo Duan, Beibei Zhang, Yuzhou Wang, Xiaoxiao Li, Yingying Zhao, Zesheng Li, Qi Zhou, Rui Zhang and 7 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

17 authors.

Si ChenZhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Ruiqing LiuDepartment of Interventional Therapy, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Shaobo DuanDepartment of Ultrasound, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital, Zhengzhou, Henan, China.
Beibei ZhangHenan Provincial International Joint Laboratory of Ultrasonic Nanotechnology and Artificial Intelligence in Precision Theragnostic Systems, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Yuzhou WangHenan Provincial International Joint Laboratory of Ultrasonic Nanotechnology and Artificial Intelligence in Precision Theragnostic Systems, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Xiaoxiao LiHenan University People's Hospital, Henan Provincial People's Hospital, Henan University, Zhengzhou, Henan, China.
Yingying ZhaoZhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Zesheng LiZhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Qi ZhouZhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Rui ZhangZhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Linlin ZhangZhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Xiaoxia XuZhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Ru JangZhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Juan ZhangZhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Yaqiong LiHenan Provincial International Joint Laboratory of Ultrasonic Nanotechnology and Artificial Intelligence in Precision Theragnostic Systems, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Xiguo CaiHenan Provincial Clinical Research Center for Rehabilitation Medicine, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Lianzhong ZhangDepartment of Ultrasound, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Henan University People's Hospital, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study seeks to investigate the potential synergistic effects of combining ultrasound-guided percutaneous radiofrequency ablation with anti-PD-1 therapy on prostate cancer, utilizing animal models. Methods: A mouse model of prostate cancer was established by subcutaneous injection of 1 × 10 Results: Compared with other treatment groups, ultrasound-guided percutaneous radiofrequency ablation combined with anti-PD-1 therapy significantly reduced the weight and volume of the tumors, demonstrating more effective tumor suppression. At the same time, combination therapy can promote the aggregation of T-cells within the tumor and increase the proportion of cytotoxic T-cells, increase the proportion of M1 macrophages and iNOS expression, and decrease the proportion of M2 macrophages and Arg expression in the local area of the tumors. Conclusion: Local ablation can improve the therapeutic effect of PD-1 monoclonal antibody. Our preliminary results suggest that ultrasound-guided percutaneous radiofrequency ablation, in combination with anti-PD-1 treatment, produces synergistic effects. These effects may be driven by changes in immune cell populations within the tumor's immunosuppressive microenvironment.

Indexed as

anti-PD-1combination therapyimmunityprostate cancerradiofrequency ablation

Identifiers

PMID40196732
PMCPMC11973081

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.