Evidence map›Paper›PMID 38096229›Full record

ArticlePloS one2023

Deciphering the immune landscape of head and neck squamous cell carcinoma: A single-cell transcriptomic analysis of regulatory T cell responses to PD-1 blockade therapy.

Adib Miraki Feriz, Fatemeh Bahraini, Arezou Khosrojerdi, Setareh Azarkar, Seyed Mehdi Sajjadi, Edris HosseiniGol, Mohammad Amin Honardoost, Samira Saghafi, Nicola Silvestris, Patrizia Leone and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
2.3field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. TheFrontiers in immunology · 2025
    Review
  5. Review
  6. Tumor-infiltrating CD8Heliyon · 2024
    Article
  7. Article
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

12 authors at 6 institutions in 3 countries.

Adib Miraki FerizStudent Research Committee, Birjand University of Medical Sciences (BUMS), Birjand, Iran.
Fatemeh BahrainiStudent Research Committee, Birjand University of Medical Sciences (BUMS), Birjand, Iran.ORCID 0000-0003-0428-6379
Arezou KhosrojerdiInfectious Diseases Research Center, BUMS, Birjand, Iran.
Setareh AzarkarStudent Research Committee, Birjand University of Medical Sciences (BUMS), Birjand, Iran.
Seyed Mehdi SajjadiCellular and Molecular Research Center (CMRC), BUMS, Birjand, Iran.
Edris HosseiniGolDepartment of Computer Engineering, University of Birjand, Birjand, Iran.ORCID 0000-0002-6279-6206
Mohammad Amin HonardoostLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, A*STAR, Singapore, Singapore.
Samira SaghafiCellular and Molecular Research Center (CMRC), BUMS, Birjand, Iran.
Nicola SilvestrisMedical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina, Italy.
Patrizia LeoneDepartment of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", Bari, Italy.
Hossein SafarpourCellular and Molecular Research Center (CMRC), BUMS, Birjand, Iran.ORCID 0000-0001-9883-9186
Vito RacanelliCentre for Medical Sciences (CISMed), University of Trento and Internal Medicine Division, Santa Chiara Hospital, Provincial Health Care Agency (APSS), Trento, Italy.
Birjand University of Medical Sciences · IRAgency for Science, Technology and Research · SGUniversity of Bari Aldo Moro · ITUniversity of Birjand · IRUniversity of Messina · ITUniversity of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy is changing the Head and Neck Squamous Cell Carcinoma (HNSCC) landscape and improving outcomes for patients with recurrent or metastatic HNSCC. A deeper understanding of the tumor microenvironment (TME) is required in light of the limitations of patients' responses to immunotherapy. Here, we aimed to examine how Nivolumab affects infiltrating Tregs in the HNSCC TME. We used single-cell RNA sequencing data from eight tissues isolated from four HNSCC donors before and after Nivolumab treatment. Interestingly, the study found that Treg counts and suppressive activity increased following Nivolumab therapy. We also discovered that changes in the CD44-SSP1 axis, NKG2C/D-HLA-E axis, and KRAS signaling may have contributed to the increase in Treg numbers. Furthermore, our study suggests that decreasing the activity of the KRAS and Notch signaling pathways, and increasing FOXP3, CTLA-4, LAG-3, and GZMA expression, may be mechanisms that enhance the killing and suppressive capacity of Tregs. Additionally, the result of pseudo-temporal analysis of the HNSCC TME indicated that after Nivolumab therapy, the expression of certain inhibitory immune checkpoints including TIGIT, ENTPD1, and CD276 and LY9, were decreased in Tregs, while LAG-3 showed an increased expression level. The study also found that Tregs had a dense communication network with cluster two, and that certain ligand-receptor pairs, including SPP1/CD44, HLA-E/KLRC2, HLA-E/KLRK1, ANXA1/FPR3, and CXCL9/FCGR2A, had notable changes after the therapy. These changes in gene expression and cell interactions may have implications for the role of Tregs in the TME and in response to Nivolumab therapy.

Indexed as

Head and Neck NeoplasmsT-Lymphocytes, RegulatoryB7 AntigensGene Expression ProfilingHumansNivolumabNK Cell Lectin-Like Receptor Subfamily CProgrammed Cell Death 1 ReceptorProto-Oncogene Proteins p21(ras)Squamous Cell Carcinoma of Head and NeckTumor MicroenvironmentB7 AntigensCD276 protein, humanKLRC2 protein, humanNivolumabNK Cell Lectin-Like Receptor Subfamily CProgrammed Cell Death 1 ReceptorProto-Oncogene Proteins p21(ras)

Identifiers

PMID38096229
PMCPMC10721039
OpenAlexW4389726119

What OpenQuestion holds

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LicenceCC BY
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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.