Evidence map›Paper›PMID 40844293›Full record

ReviewClinical microbiology reviews2025

Adoptive T-cell therapy for virus-associated diseases.

Corey Smith, Rajiv Khanna

Abstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

2 authors.

Corey SmithQueensland Immunology Research Centre and Inflammation and Infection Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.ORCID 0000-0002-7550-9595
Rajiv KhannaQueensland Immunology Research Centre and Inflammation and Infection Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.ORCID 0000-0003-2241-0353

Funding

National Health and Medical Research Council GNT1132519
6 · The paper itself

Abstract

SUMMARYViral infections remain a significant and predictable challenge in solid organ transplant (SOT) and hematopoietic stem cell transplant (HSCT) recipients. Although antiviral drugs are commonly used for prophylaxis or early treatment, their long-term use is limited by toxicity, high costs, and the emergence of drug-resistant viral strains, often leading to treatment failure. Cellular immune therapies, particularly adoptive transfer of virus-specific T cells (VSTs), have emerged as a promising alternative, with proven efficacy in controlling hematological malignancies and severe viral infections. While donor-derived VSTs can effectively suppress viral replication in HSCT and SOT recipients, this approach is not feasible when donors are seronegative or inaccessible. A novel single-platform technology now allows for the rapid generation of multi-virus-specific T cells from healthy donors, broadening the applicability of this strategy. In addition, immune monitoring tools can help identify high-risk patients, enabling earlier and more targeted interventions. Emerging data suggest that adoptive T-cell therapy may be used not only therapeutically but also prophylactically, potentially replacing conventional antivirals and reducing adverse effects in immunocompromised patients. This review provides historical foundations and recent advancements in the use of adoptive T-cell therapies for virus-associated complications in transplant recipients.

Indexed as

Adoptive TransferImmunotherapy, AdoptiveT-LymphocytesVirus DiseasesHematopoietic Stem Cell TransplantationHumansadenovirusesadoptive transfercytomegalovirusEpstein-Barr virusimmunitypolyomavirusT-cell therapy

Identifiers

PMID40844293
PMCPMC12697102

What Socratic holds

Textmetadata
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 Socratic graph.