Evidence map›Paper›PMID 41677629›Full record

ArticleCells2026

CD80-Mediated T-Cell Suppression by Cancer Stem-like Cells in Head and Neck Squamous Cell Carcinoma.

Mian Xiao, Lin Qiu, Qian Gao, Ruifeng Li, Jing Wang, Yanrui Feng, Xuefen Li, Xiyuan Ge

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Mian XiaoCentral Laboratory, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Lin QiuDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Qian GaoDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Ruifeng LiDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Jing WangDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Yanrui FengCentral Laboratory, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Xuefen LiCentral Laboratory, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Xiyuan GeCentral Laboratory, Peking University School and Hospital of Stomatology, Beijing 100081, China.ORCID 0000-0002-6012-2398

Funding

National Natural Science Foundation of China 81872190National Natural Science Foundation of China 82173307Natural Science Foundation of Beijing Municipality 7222225
6 · The paper itself

Abstract

Neoadjuvant chemoimmunotherapy has emerged as a promising treatment strategy for head and neck squamous cell carcinoma (HNSCC). There is an urgent need to improve patient responses to this approach. In this study, we aim to elucidate the mechanisms underlying poor response to neoadjuvant chemoimmunotherapy and to identify strategies to enhance therapeutic efficacy in HNSCC. We identified a cancer stem-like cell (CSC) population enriched in patients with partial response (PR) to neoadjuvant chemoimmunotherapy, characterized by high CD80 expression. CD80 was likewise highly expressed in ALDH

Indexed as

Head and Neck NeoplasmsNeoplastic Stem CellsSquamous Cell Carcinoma of Head and NeckT-LymphocytesAnimalsCell Line, TumorFemaleHumansImmunotherapyMicecancer stem-like cellsCD80head and neck squamous cell carcinomaneoadjuvant chemoimmunotherapytherapeutic resistance

Identifiers

PMID41677629
PMCPMC12896438

What OpenQuestion holds

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LicenceCC BY
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.