Evidence map›Paper›PMID 42711713›Full record

ReviewMolecular cancer2026

Ecosystem-matched reprogramming of the tumor-immune microenvironment to overcome cancer immunotherapy resistance.

Xiaodong Wang, Qianqian Wang, Wei Gao, Songjiang He, Di Xiong, Yiping Huang, Bingwen Zou

Abstract readReview
In one paragraph

Review in Molecular cancer, 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.

Xiaodong WangDepartment of Radiation Oncology, Cancer Center & Institution of Stress Medicine, West China Hospital, Sichuan University, Chengdu, China.
Qianqian WangDepartment of Oncology, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, China.
Wei GaoThe Center of Nuclear Stress Medicine, The Second Affiliated Hospital · Nuclear Industry 416 Hospital, Chengdu Medical College, Chengdu, China.
Songjiang HeDepartment of Radiation Oncology, Cancer Center & Institution of Stress Medicine, West China Hospital, Sichuan University, Chengdu, China.
Di XiongDepartment of General Medicine, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, China.
Yiping HuangDepartment of Oncology, Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, China.
Bingwen ZouDepartment of Radiation Oncology, Cancer Center & Institution of Stress Medicine, West China Hospital, Sichuan University, Chengdu, China. zoubingwen81@163.com.

Funding

Department of Science and Technology of Hunan Province 2025JK2004National Science and Technology Major Program of China 2023ZD0506105
6 · The paper itself

Abstract

Immune checkpoint blockade has redefined cancer therapy, yet durable responses remain constrained by resistance states that arise from coordinated tumor-cell, immune, stromal, vascular, lymphatic, and metabolic programs rather than from a single defective pathway. This review develops a translational framework in which tumor-intrinsic immune invisibility, myeloid and regulatory lymphocyte suppression, defective dendritic-cell priming, stromal and vascular exclusion, lymphatic control of antigen drainage, metabolic stress, and ILC2/type 2 immune plasticity are interpreted as interdependent ecosystem states. We discuss therapeutic strategies that reprogram these states, including myeloid and Treg modulation, stromal and vascular remodeling, preservation or restoration of productive lymphatic communication, cytokine and metabolic interventions, alternative checkpoint blockade, oncolytic viruses, vaccines, engineered cell therapies, and nanomedicine-enabled local delivery. Emphasis is placed on the lessons of failed or modestly effective trials, which show that biologically plausible interventions often fail when the dominant resistance bottleneck is not defined, tissue target engagement is not verified, or treatment sequence is not matched to the immune architecture of the tumor. We propose that future progress will depend on ecosystem-matched combinations guided by spatial biomarkers, on-treatment pharmacodynamics, and adaptive trial designs capable of linking mechanism to clinical decision-making.

Indexed as

Drug Resistance, NeoplasmImmunotherapyNeoplasmsTumor MicroenvironmentAnimalsHumansImmunotherapy resistanceLymphatic vesselsTranslational immuno-oncologyTumor–immune ecosystemType 2 immunity

Identifiers

PMID42711713
PMCPMC13556080

What OpenQuestion holds

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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 OpenQuestion graph.