Evidence map›Paper›PMID 42654067›Full record

ReviewPharmaceutics2026

Chemokine-Armed Oncolytic Viruses: Engineering Immune Cell Trafficking to Transform the Tumor Microenvironment.

Akram Alwithenani

Abstract readReview
In one paragraph

Review in Pharmaceutics, 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.

Akram AlwithenaniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia.ORCID 0009-0007-0990-3547

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most patients with solid tumors do not respond to immune checkpoint blockade, and inadequate T cell infiltration of the tumor parenchyma is the dominant mechanism of primary resistance. Oncolytic viruses address this problem by a distinct route: they replicate selectively within tumor cells, produce immunogenic cell death, and convert infected cells into local sources of any encoded transgene. Most armed designs to date have carried cytokine or checkpoint-antibody payloads, and chemokines have attracted comparatively little attention despite bearing directly on the trafficking bottleneck. This review synthesizes the preclinical literature on chemokine-armed oncolytic viruses across three receptor axes: CXCR3 (CXCL9, CXCL10, CXCL11), CCR5 (CCL5/RANTES), and CCR7 (CCL19). The accumulated evidence indicates that therapeutic outcome depends less on the chemokine payload itself than on the interaction between payload and viral backbone. CXCL11 outperforms its sister CXCR3 ligands not through intrinsic potency but because it is non-redundant with the endogenous chemokines induced by vesicular stomatitis virus and vaccinia, and because it largely escapes proteolytic cleavage by dipeptidyl peptidase 4 (DPP4). CCL5 has shown the most consistent activity in dual-payload designs that pair chemotaxis with a T cell survival cytokine such as IL-15. CCL19, which addresses lymphoid organization rather than effector recruitment, rests on a single published construct. One evidence gap is central: no head-to-head comparison of chemokine payloads within a single viral platform has been published. We therefore propose a translational decision framework that aligns chemokine selection with the immune contexture of the target tumor.

Indexed as

CCL5chemokinecold tumorCXCL11immune cell traffickingimmunotherapyoncolytic virustumor microenvironment

Identifiers

PMID42654067
PMCPMC13516677

What OpenQuestion holds

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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.