Evidence map›Paper›PMID 35731974›Full record

ArticleClinical and translational medicine2022

Preclinical platforms to study therapeutic efficacy of human γδ T cells.

Lingling Ou, Huaishan Wang, Hui Huang, Zhiyan Zhou, Qiang Lin, Yeye Guo, Tara Mitchell, Alexander C Huang, Giorgos Karakousis, Lynn Schuchter and 5 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. γδ T cells in oral diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Pooled it
  2. Article
  3. DR5 CAR-T cells target melanoma and suppress MDSCs with minimal toxicity.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  4. Tumor organoid-immune cell co-culture systems for precision oncology.Frontiers in cell and developmental biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 2 countries.

Lingling OuDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Huaishan WangDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Hui HuangThe First Affiliated Hospital of Jinan University, Guangzhou, China.
Zhiyan ZhouThe First Affiliated Hospital of Jinan University, Guangzhou, China.
Qiang LinThe First Affiliated Hospital of Jinan University, Guangzhou, China.
Yeye GuoDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Tara MitchellDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alexander C HuangDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Giorgos KarakousisDepartment of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lynn SchuchterDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ravi AmaravadiDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Wei GuoDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Joseph SalvinoMolecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania, USA.
Meenhard HerlynMolecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, Pennsylvania, USA.
Xiaowei XuDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
University of Pennsylvania · USFirst Affiliated Hospital of Jinan University · CNThe Wistar Institute · USSouthern Medical University · CN

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Luis J Montaner · 1985 to 2026
$75.9M
Targeting the MAP and PI3 Kinase Pathways in MelanomaP01CA114046 · NCI · WISTAR INSTITUTE · PI MURPHY, MAUREEN E. · 2008 to 2023
$37.1M
Targeting exosomal PDL1 to improve immunotherapyP50CA261608 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F · 2021 to 2025
$11.3M
Molecular Basis and Regulatory Mechanisms of Exosome SecretionR35GM141832 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI WEI GUO · 2021 to 2026
$3.9M
Gamma delta T cell based melanoma therapiesR01CA258113 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Meenhard F Herlyn, Xiaowei Xu · 2022 to 2026
$3.3M
NCI NIH HHS P01 CA114046NCI NIH HHS P30 CA010815NCI NIH HHS P50 CA261608NCI NIH HHS R01 CA258113NIGMS NIH HHS R35 GM141832
6 · The paper itself

Abstract

backgroundGamma delta (γδ) T lymphocytes are promising candidate for adoptive T cell therapy, however, their treatment efficacy is not satisfactory. Vδ2 T cells are unique to primates and few suitable models are available to assay their anti-tumour function.

methodsWe tested human γδ T cell activation, tumour infiltration, and tumour-killing in four three-dimensional (3D) models, including unicellular, bicellular and multicellular melanoma spheroids, and patient-derived melanoma organoids. We studied the effects of checkpoint inhibitors on γδ T cells and performed a small molecule screen using these platforms.

resultsγδ T cells rapidly responded to melanoma cells and infiltrated melanoma spheroids better than αβ T cells in PBMCs. Cancer-associated fibroblasts (CAFs) in bicellular spheroids, stroma cells in multicellular melanoma spheroids and inhibitory immune cells in organoids significantly inhibited immune cell infiltrates including γδ T cells and lessened their cytotoxicity to tumour cells. Tumour-infiltrating γδ T cells showed exhausted immunophenotypes with high checkpoints expression (CTLA-4, PD-1 and PD-L1). Immune checkpoint inhibitors increased γδ T cell infiltration of 3D models and killing of melanoma cells in all four 3D models. Our small molecule screen assay and subsequent mechanistic studies demonstrated that epigenetic modifiers enhanced the chemotaxis and cytotoxicity of γδ T cells through upregulating MICA/B, inhibiting HDAC6/7 pathway and downregulating the levels of PD-L1 and PD-L2 in CAFs and tumour cells. These compounds increased CXCR4 and CD107a expression, IFN-γ production and decreased PD-1 expression of γδ T cells.

conclusionsTumour-infiltrating γδ T cells show exhausted immunophenotypes and limited anti-tumour capacity in melanoma 3D models. Checkpoint inhibitors and epigenetic modifiers enhance anti-tumour functions of γδ T cells. These four 3D models provided valuable preclinical platforms to test γδ T cell functions for immunotherapy.

Indexed as

B7-H1 AntigenMelanomaCytotoxicity, ImmunologicHumansImmunotherapyProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-Cell, gamma-deltaB7-H1 AntigenProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-Cell, gamma-deltaepigenetic modifiersimmune checkpoint blockadeimmunotherapymelanoma 3D modelsγδ T cells

Identifiers

PMID35731974
PMCPMC9217106
OpenAlexW4283382213

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.