Evidence map›Paper›PMID 41822511›Full record

ReviewFrontiers in immunology2026

Combined carbon ion radiotherapy and immunotherapy: leveraging the immunological advantages of carbon ion.

Ruiming Chen, Qinqin Ma, Yuan Pan, Tanglong Zhang, Zhuoya Zhang, Cuixia Di, Juntao Ran

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 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

7 authors.

Ruiming ChenThe First Clinical Medical College of Lanzhou University, Lanzhou, China.
Qinqin MaThe First Clinical Medical College of Lanzhou University, Lanzhou, China.
Yuan PanThe First Clinical Medical College of Lanzhou University, Lanzhou, China.
Tanglong ZhangThe First Clinical Medical College of Lanzhou University, Lanzhou, China.
Zhuoya ZhangThe First Clinical Medical College of Lanzhou University, Lanzhou, China.
Cuixia DiInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Juntao RanDepartment of Radiation Oncology, the First Hospital of Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy represents a systemic approach to cancer treatment; however, its effectiveness can be limited by intrinsic tumor resistance or immunosuppressive mechanisms within the tumor microenvironment. In contrast, carbon ion radiotherapy (CIRT) demonstrates considerable immunomodulatory potential owing to its distinct biological properties. The exposure of tumor-associated antigens, increased immune cell infiltration and activity, and modifications in the immune microenvironment after CIRT provide a mechanistic rationale for combining CIRT with immunotherapy. Furthermore, strategies aimed at converting the tumor microenvironment from immunosuppressive to immunostimulatory, or those targeting immune checkpoints, are currently under active exploration. This review summarizes the latest advances in combining heavy ion radiotherapy with immunotherapy, encompassing both preclinical and clinical studies. Based on the immunological advantages of CIRT, it provides a comprehensive summary and in-depth exploration of the potential of this combined treatment modality for future clinical applications, along with a theoretical foundation to support it.

Indexed as

Heavy Ion RadiotherapyImmunotherapyNeoplasmsAnimalsCombined Modality TherapyHumansTumor Microenvironmentcarbon ions radio therapycombined therapyheavy-ionimmunotherapyradioimmunity

Identifiers

PMID41822511
PMCPMC12975748

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.