Evidence map›Paper›PMID 39561929›Full record

ReviewClinical immunology (Orlando, Fla.)2024

Optimizing iNKT-driven immune responses against cancer by modulating CD1d in tumor and antigen presenting cells.

Ritis Kumar Shyanti, Mazharul Haque, Rajesh Singh, Manoj Mishra

Abstract readReview
In one paragraph

Review in Clinical immunology (Orlando, Fla.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Review
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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

4 authors.

Ritis Kumar ShyantiCancer Research Center, Department of Biological Sciences, Alabama State University, AL 36104, USA.
Mazharul HaqueCancer Research Center, Department of Biological Sciences, Alabama State University, AL 36104, USA.
Rajesh SinghMicrobiology, Biochemistry, and Immunology, Cancer Health Equity Institute, Morehouse School of Medicine, Atlanta, GA, USA.
Manoj MishraCancer Research Center, Department of Biological Sciences, Alabama State University, AL 36104, USA. Electronic address: mmishra@alasu.edu.

Funding

Alabama State University-Auburn University Partnership to Promote Diversity in Aging ResearchR25AG070244 · NIA · ALABAMA STATE UNIVERSITY · PI MISHRA, MANOJ K., SUPPIRAMANIAM, VISHNU D · 2022 to 2024
$876k
NIA NIH HHS R25 AG070244
6 · The paper itself

Abstract

Two major antigen processing pathways represent protein Ags through major histocompatibility complexes (MHC class I and II) or lipid Ags through CD1 molecules influence the tumor immune response. Invariant Natural Killer T cells (iNKT) manage a significant role in cancer immunotherapy. CD1d, found on antigen-presenting cells (APCs), presents lipid Ags to iNKT cells. In many cancers, the number and function of iNKT cell are compromised, leading to immune evasion. Additionally impaired motility of iNKT cells may contribute to poor tumor prognosis. Emerging evidences suggest that CD1d, itself also influences cancer progression. Patient databases further highlight the importance of CD1d expression in different cancers and its correlation with patient survival outcomes. The ability of iNKT cells to activate and enhance the immune response renders them an attractive target for cancer immunotherapy. This review discusses all the possible ways of cancer immune evasion and restoration of immune responses mediated by CD1d-iNKT interactions.

Indexed as

Antigen-Presenting CellsAntigens, CD1dNatural Killer T-CellsNeoplasmsAnimalsAntigen PresentationHumansImmunotherapyAntigens, CD1dCD1D protein, humanCD1dCytokinesInvariant natural killer T cellsLipid antigensTumor immunity

Identifiers

PMID39561929
PMCPMC12145960

What OpenQuestion holds

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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.