Evidence map›Paper›PMID 39985195›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Targeting the Adenosine-Mediated Metabolic Immune Checkpoint with Engineered Probiotic for Enhanced Chemo-Immunotherapy.

Jinhui Wang, Jing Wang, Zhijie Yu, Hongyu Wen, Chensi Zhao, Jiayong Zhong, Chuanle Xiao, Yingqiu Li, Jianqiao Xu, Jinquan Wang and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Engineering an arginine-nitric oxide circuit inTranslational cancer research · 2026
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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

12 authors.

Jinhui WangMOE Key Laboratory of Bioinorganic and Synthetic Chemistry, IGCME, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510006, China.
Jing WangMOE Key Laboratory of Bioinorganic and Synthetic Chemistry, IGCME, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510006, China.
Zhijie YuGuangdong Key Laboratory of Advanced Drug Delivery, School of Bioscience and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Hongyu WenMOE Key Laboratory of Bioinorganic and Synthetic Chemistry, IGCME, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510006, China.
Chensi ZhaoState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, China.
Jiayong ZhongState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China.
Chuanle XiaoState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China.
Yingqiu LiState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, China.
Jianqiao XuMOE Key Laboratory of Bioinorganic and Synthetic Chemistry, IGCME, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510006, China.
Jinquan WangGuangdong Key Laboratory of Advanced Drug Delivery, School of Bioscience and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Zong-Wan MaoMOE Key Laboratory of Bioinorganic and Synthetic Chemistry, IGCME, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510006, China.ORCID https://orcid.org/0000-0001-7131-1154
Wei XiaMOE Key Laboratory of Bioinorganic and Synthetic Chemistry, IGCME, School of Chemistry, Sun Yat-Sen University, Guangzhou, 510006, China.ORCID https://orcid.org/0000-0001-6480-3265

Funding

GBRCE for Functional Molecular Engineering; the Fundamental Research Funds for the Central Universities 23xkjc020National Key Research and Development Program of China 2022YFA1104900National Natural Science Foundation of China 22077142National Natural Science Foundation of China 22277013National Natural Science Foundation of China 22293053National Natural Science Foundation of China 92353301Natural Science Foundation of Guangdong Province, China 2022A1515110231Natural Science Foundation of Guangdong Province, China 2024A1515010410
6 · The paper itself

Abstract

Immunotherapy has revolutionized cancer treatment by leveraging the patient's immune system, yet its efficacy is often hampered by the immunosuppressive tumor microenvironment (TME). Adenosine, a key player in this milieu, suppresses immune cell activity via cAMP signaling. Here, an innovative strategy to remodel the TME using a genetically engineered strain of Escherichia coli Nissle 1917 that expresses adenosine deaminase on its surface under hypoxic conditions is presented. This engineered probiotic targets tumors, converts immunosuppressive adenosine to inosine, and enhances anti-tumor immune responses. In vivo, the engineered probiotic significantly improved immune cell infiltration and demonstrated synergistic effects with low-dose doxorubicin in both subcutaneous and orthotopic mouse colorectal cancer model. Furthermore, the engineered probiotic modulated the TME, promoting a shift from M2-like to M1-like macrophages and increasing effector T cell populations. These findings highlight the potential of using engineered probiotics for metabolic modulation of the TME, offering a novel approach for enhancing cancer immunotherapy.

Indexed as

AdenosineColorectal NeoplasmsImmunotherapyProbioticsTumor MicroenvironmentAnimalsCell Line, TumorDoxorubicinEscherichia coliHumansMiceAdenosineDoxorubicinadenosine deaminasechemo‐immunotherapyengineered probioticmetabolic modulationtumor microenvironment

Identifiers

PMID39985195
PMCPMC12005768

What OpenQuestion holds

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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 OpenQuestion graph.