ReviewFrontiers in immunology2018
A Task Force Against Local Inflammation and Cancer: Lymphocyte Trafficking to and Within the Skin.
Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Early melanoma invasivity correlates with gut fungal and bacterial profiles.The British journal of dermatology · 2022Pooled it
- Human LFA-1 governs T cell immune surveillance of the skin.Science immunology · 2026Article
- An engineered intradermal microneedle-array device enhances the cellular immune responses in a guinea pig model.Frontiers in immunology · 2026Article
- Article
- A biopsy-sized 3D skin model with a perifollicular vascular plexus enables studying immune cell trafficking in the skin.Biofabrication · 2024Article
- Emerging adjuvants for intradermal vaccination.International journal of pharmaceutics · 2023Review
- Investigations on T cell transmigration in a human skin-on-chip (SoC) model.Lab on a chip · 2021Article
- Investigating T Cell Immunity in Cancer: Achievements and Prospects.International journal of molecular sciences · 2021Review
- Interplay between ESKAPE Pathogens and Immunity in Skin Infections: An Overview of the Major Determinants of Virulence and Antibiotic Resistance.Pathogens (Basel, Switzerland) · 2021Review
- CCR7 in Blood Cancers - Review of Its Pathophysiological Roles and the Potential as a Therapeutic Target.Frontiers in oncology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The skin represents a specialized site for immune surveillance consisting of resident, inflammatory and memory populations of lymphocytes. The entry and retention of T cells, B cells, and ILCs is tightly regulated to facilitate detection of pathogens, inflammation and tumors cells. Loss of individual or multiple populations in the skin may break tolerance or increase susceptibility to tumor growth and spread. Studies have significantly advanced our understanding of the role of skin T cells and ILCs at steady state and in inflammatory settings such as viral challenge, atopy, and autoimmune inflammation. The knowledge raised by these studies can benefit to our understanding of immune cell trafficking in primary melanoma, shedding light on the mechanisms of tumor immune surveillance and to improve immunotherapy. This review will focus on the T cells, B cells, and ILCs of the skin at steady state, in inflammatory context and in melanoma. In particular, we will detail the core chemokine and adhesion molecules that regulate cell trafficking to and within the skin, which may provide therapeutic avenues to promote tumor homing for a team of lymphocytes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.