Evidence map›Paper›PMID 41041050›Full record

ReviewTheranostics2025

Synthetic reprogramming of tumor cell fate for modulating radiotherapy-induced dynamic responses: perspectives on radiosensitizing and immunoregulatory effects.

Wei Zhou, Lulu Wang, Hui Zhang, Yongzhong Wu, Menghuan Li, Zhong Luo

Abstract readReview
In one paragraph

Review in Theranostics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Wei ZhouRadiotherapy Center, Chongqing University Cancer Hospital, Chongqing, China.
Lulu WangRadiotherapy Center, Chongqing University Cancer Hospital, Chongqing, China.
Hui ZhangDepartment of Breast, Chongqing Hospital of Traditional Chinese Medicine, Chongqing City, China.
Yongzhong WuRadiotherapy Center, Chongqing University Cancer Hospital, Chongqing, China.
Menghuan LiSchool of Life Science, Chongqing University, Chongqing, China.
Zhong LuoSchool of Life Science, Chongqing University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy is one of the most commonly prescribed anticancer modalities in the clinic, which is widely recognized as an effective and safe treatment for a broad spectrum of solid tumor indications. Interestingly, there is increasing evidence that the tumors can dynamically modulate cell fate decisions after ionizing radiation (IR) exposure, which is beneficial for escaping the radiation-induced antitumorigenic cell damaging and immunostimulatory impacts. Consequently, the regulatory network of cell fate determination could be a promising target for enhancing the susceptibility of tumor cells to various radiotherapeutic modalities. In this review, we provide a comprehensive account on the mechanisms of post-radiation cell fate control in tumor cells to escape programmed cell death (PCD) including apoptosis, necrosis, pyroptosis and ferroptosis, while special emphasis is placed on the development of synthetic agents for the therapeutic modulation of post-radiation tumor cell fate decisions to facilitate tumor cell eradication, focusing on their therapeutic utility for amplifying the RT-induced direct tumor cell damage as well as promoting the post-IR antitumor immunity. We envision that these synthetic cell fate regulatory technologies could provide new avenues for improving radiotherapeutic efficacy.

Indexed as

NeoplasmsRadiation-Sensitizing AgentsAnimalsApoptosisHumansRadiation, IonizingRadiation-Sensitizing AgentsCell fate determinationimmunoregulationradiosensitizationsynthetic therapeutics.

Identifiers

PMID41041050
PMCPMC12486273

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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.