Evidence map›Paper›PMID 41949672›Full record

ReviewDiscover oncology2026

Reprogramming the tumor microenvironment through vaccine strategies to improve clinical outcomes and guide future innovations.

Ali Mohammadi

Abstract readReview
In one paragraph

Review in Discover oncology, 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

1 author.

Ali MohammadiDepartment of Anesthesiology, Faculty of Medicine, Islamic Azad University of Tabriz, Tabriz, Iran, Islamic Azad University of Iran, Tabriz Branch, Tabriz, Iran. mhdi0ali1998@gmail.com.ORCID http://orcid.org/0009-0008-2887-3758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is a dynamic, multilayered ecosystem composed of immune cells, stromal elements, vascular structures, extracellular matrix components, and soluble mediators that collectively shape tumor progression, immune evasion, and therapeutic resistance. Vaccines targeting the TME represent an emerging paradigm in cancer immunotherapy, aiming not only to elicit antigen-specific T-cell responses but also to remodel immunosuppressive niches that characterize immune-desert and immune-excluded tumors. By directing immune activation toward non-malignant but functionally critical components—including cancer-associated fibroblasts (CAFs), regulatory T cells (Tregs), tumor-associated macrophages (TAMs), and angiogenic pathways such as VEGF signaling—TME-targeted vaccines seek to convert “cold” tumors into immunologically responsive states amenable to combination treatment. This narrative review synthesizes major advances from 2023 to 2025 in antigen selection strategies, vaccine delivery platforms, clinical developments, and mechanistic insights underlying TME reprogramming. Key challenges, including stromal heterogeneity, cytokine-driven immunosuppressive rebound, and delivery inefficiencies, are examined alongside safety considerations and translational barriers. Future directions—such as integration with immune checkpoint inhibitors, targeting immunometabolic checkpoints like CD39, leveraging macrophage reprogramming approaches, and implementing AI-guided vaccine personalization—are discussed to highlight opportunities for durable tumor control. By consolidating current evidence and outlining emerging innovations, this review aims to support ongoing efforts to advance next-generation TME-directed immunotherapies within the framework of precision oncology.

Indexed as

Antigen selectionCancer vaccinesCD39Clinical trialsCombination immunotherapyImmunotherapyMacrophage reprogrammingPersonalized oncologyTME reprogrammingTumor microenvironmentVaccine delivery platforms

Identifiers

PMID41949672
PMCPMC13199577

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.