Evidence map›Paper›PMID 39386811›Full record

ReviewHeliyon2024

Tfh cells potential dual role in cancer: A perspective.

Muhammad Yaqub, Muhammad Salman Pathan, Soumyabrata Dev, Lan He

RetractedAbstract readReviewRetracted Publication
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

4 authors.

Muhammad YaqubSchool of Biomedical Sciences, Hunan University, 410000, Changsha, PR China.
Muhammad Salman PathanSchool of Computing, Dublin City University, Ireland.
Soumyabrata DevSchool of Computer Science, University College Dublin, Ireland.
Lan HeSchool of Biomedical Sciences, Hunan University, 410000, Changsha, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T follicular helper cells (Tfh) were initially identified nearly two decades ago as critically important in directing B-cell maturation and antibody generation in the germinal centers of secondary lymphoid tissues. Since then, Tfh cells have become the center of sustained investigation in oncology due to their unique, often paradoxical roles in tumour immunity. Specifically, Tfh cells in the tumour microenvironment can enhance anti-tumour immune response or promote, through the same mechanisms, tumour progression. These dual roles largely result from Tfh cells controlling unique cytokine secretions and, in turn, shifting the net effect of the Tfh-driven immune response (by directly and indirectly affecting the activities of other cytotoxic T cells and natural killer cells). The dual nature of the Tfh is the basis for our commentary, which highlights their simultaneous identity as a curse and a gift to oncology. Indeed, the curtain calls for a better understanding Tfh cell biology, so that their potential can be used to benefit oncology. We discuss how prevalent Tfh cells in tumors can be beneficial in directing potent anti-tumour immune responses. We also review how the characterization of Tfh cells in tumors has now led to their identification as candidate biomarkers of response to immunotherapy, and how they are now being evaluated as targets for new immunotherapies leading to new clinical trials. The study concludes by emphasizing how the unique biological properties of Tfh cells can be leveraged to advance cancer treatment, ultimately aiming to enhance the effectiveness of clinical oncology practices.

Indexed as

CancerCytokinesOncologyTfh cellsTumor microenvironment

Identifiers

PMID39386811
PMCPMC11462245

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.