Evidence map›Paper›PMID 41711960›Full record

ArticleCancer immunology, immunotherapy : CII2026

Microwave ablation combined with dendritic cells enhances CD8

Ji Ma, Fengkuo Xu, Meixiang Wang, Shanlong Zhang, Jing Sang, Huanan Chen, Fu Wen, Ruiyang Ge, Qi Xie, Zhigang Wei and 1 more

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 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
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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

11 authors.

Ji MaDepartment of Oncology, Lung Cancer Center, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Jinan, 250014, China.
Fengkuo XuDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin 2nd Road, Shanghai, 200025, China.
Meixiang WangDepartment of Oncology, Lung Cancer Center, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Jinan, 250014, China.
Shanlong ZhangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Shandong First Medical University, Taian, 271000, China.
Jing SangDepartment of Pathology, The Affiliated Taian City Central Hospital of Qingdao University, Taian, 271000, China.
Huanan ChenDepartment of Oncology, Lung Cancer Center, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Jinan, 250014, China.
Fu WenSchool of Clinical Medicine, Shandong Second Medical University, Weifang, 261053, China.
Ruiyang GeDepartment of Oncology, Lung Cancer Center, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Jinan, 250014, China.
Qi XieDepartment of Oncology, Lung Cancer Center, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Jinan, 250014, China. xieqi@sdfmu.edu.cn.
Zhigang WeiDepartment of Oncology, Lung Cancer Center, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Jinan, 250014, China. weizhigang321321@163.com.
Xin YeDepartment of Oncology, Lung Cancer Center, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Jinan, 250014, China. yexintaian2020@163.com.

Funding

National Natural Science Foundation of China 823019933
6 · The paper itself

Abstract

objectiveMicrowave ablation (MWA) has shown favorable safety and efficacy in patients with non-small cell lung cancer (NSCLC). However, local recurrence remains a major concern that compromises long-term survival. Dysfunction of dendritic cells (DCs) constitutes a key immunosuppressive factor that limits effective T cell-mediated antitumor responses. To overcome this limitation, we evaluated the therapeutic potential of combining MWA with DC-based immunotherapy.

methodsA Lewis lung carcinoma (LLC) rechallenge mouse model was established to assess the efficacy of the combination of MWA and DC therapy in preventing post-ablation tumor recurrence. The immune landscape in tumors and tumor-draining lymph nodes (TdLNs) was analyzed by flow cytometry.

resultsThe combination of MWA and DC therapy markedly suppressed tumor recurrence and promoted potent antitumor immunity, as evidenced by an increased proportion and functional activation of CD8⁺ T cells in both recurrent tumors and TdLNs. In addition, the combination treatment substantially increased the frequency and immunostimulatory capacity of migratory type 1 conventional dendritic cells (Mig cDC1s) within TdLNs. These results indicate that cDC1s are crucial mediators of the enhanced antitumor response induced by MWA combined with DC therapy.

conclusionOur findings highlight a synergistic antitumor mechanism of MWA and DC-based therapy through cDC1 activation and CD8⁺ T cell enhancement, providing a promising strategy to reduce tumor recurrence after MWA.

Indexed as

Carcinoma, Lewis LungCD8-Positive T-LymphocytesDendritic CellsLymphocyte ActivationMicrowavesAblation TechniquesAnimalsCombined Modality TherapyDisease Models, AnimalFemaleImmunotherapy, AdoptiveMiceMice, Inbred C57BLNeoplasm Recurrence, LocalCD8+ T cellCombination therapyDC-based therapyDendritic cellsMicrowave ablationType 1 conventional dendritic cells

Identifiers

PMID41711960
PMCPMC12921104

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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.