Evidence map›Paper›PMID 42317310›Full record

ArticleFrontiers in immunology2026

3M-052 combined inhibitory anti-TNFR2 synergistically suppresses colon cancer progression.

Qianyu Jing, Junqian Luo, Quan Wan, Qianjun Jing, Xiefei Hu, Cui Nei, Xuelian Zhang, Yan Zhou, Jing Tang, Yongchao Wang and 4 more

Abstract read
In one paragraph

Article 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
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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

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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

14 authors.

Qianyu Jing *Department of Clinical Laboratory, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Junqian Luo *The First People's Hospital of Jinzhong, Jinzhong, China.
Quan WanThe University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China.
Qianjun JingChongqing Medical University, Chongqing, China.
Xiefei HuDepartment of Clinical Laboratory, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Cui NeiDepartment of Clinical Laboratory, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Xuelian ZhangDepartment of Clinical Laboratory, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Yan ZhouDepartment of Clinical Laboratory, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Jing TangDepartment of Clinical Laboratory, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Yongchao WangDepartment of Clinical Laboratory, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Yan DingDepartment of Clinical Laboratory, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Yujie NieGuizhou Provincial People's Hospital, Guiyang, China.
Wei LiDepartment of Clinical Laboratory, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Yingjie NieThe University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Immunotherapy is considered the most promising approach for achieving complete tumor clearance in cancer treatment. However, monotherapy has demonstrated limited clinical efficacy, leading to a growing consensus that combination immunotherapy-activating the immune system through multiple pathways-appears to be the optimal strategy for enhancing therapeutic outcomes. In this study, we investigated the efficacy and underlying mechanisms of the combination immunotherapy MT-comprising the TLR7/8 agonist 3M-052 and the inhibitory anti-TNFR2 antibody-in colon cancer (CRC). Methods: A CRC mouse model was established and divided into four treatment groups: the control group, the 3M-052 group, the anti-TNFR2 group, and the MT group. Tumour growth was monitored every three days. Flow cytometry was used to analyse the levels of CD8+ T cells and regulatory T cells (Tregs) in tumour tissue, as well as the differentiation of central memory T cells (Tcm) in the tumor-draining lymph nodes (TdLNs). Results: The results revealed that the combination therapy MT promoted CD8+ T cell infiltration and reduced Tregs level within the tumor, effectively suppressed colon cancer growth in mice, and induced long-term syngeneic tumor control by enhancing the differentiation of Tcm in TdLNs. Compared with monotherapy, combination therapy MT demonstrated a superior capacity to induce the differentiation of central memory CD8+ and CD4+ T cells in TdLNs, an effect that appears to be primarily mediated by 3M-052. Discussion: This study demonstrates that the combination of 3M-052 and the anti-TNFR2 antibody exerts a synergistic effect, effectively inhibiting CRC progression and inducing long-term immune memory. Overall, these findings support the view that MT combination therapy represents a potentially effective strategy.

Indexed as

Colonic NeoplasmsReceptors, Tumor Necrosis Factor, Type IIAnimalsCD8-Positive T-LymphocytesCell Line, TumorCombined Antibody TherapeuticsDisease Models, AnimalDisease ProgressionDrug SynergismHumansLymphocytes, Tumor-InfiltratingMaleMiceMice, Inbred C57BLT-Lymphocytes, RegulatoryToll-Like Receptor AgonistsCombined Antibody TherapeuticsReceptors, Tumor Necrosis Factor, Type IIToll-Like Receptor Agonists3M-052anti-TNFR2colon cancerimmunotherapyTCM

Identifiers

PMID42317310
PMCPMC13272422

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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.