Evidence map›Paper›PMID 42500053›Full record

ReviewWorld journal of otorhinolaryngology - head and neck surgery2026

Biomarkers Predictive of Immunotherapy Efficacy in Head and Neck Squamous Cell Carcinoma: Current Insights and Future Perspectives.

Xiao-Tong Yan, Zhao-Hong An, Chang-Ming An

Abstract readReview
In one paragraph

Review in World journal of otorhinolaryngology - head and neck surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Xiao-Tong YanDepartment of Head & Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID https://orcid.org/0009-0002-6681-5838
Zhao-Hong AnDepartment of Head & Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Chang-Ming AnDepartment of Head & Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the approval of immunotherapies by regulatory bodies, head and neck squamous cell carcinoma (HNSCC) treatment has been revolutionized, and anti-programmed cell death-1 (anti-PD-1) agents are now the standard for platinum-resistant recurrent/metastatic HNSCC. However, programmed death ligand 1 (PD-L1) expression does not always align with treatment efficacy, and given the risk of immune-related toxicities and high costs, identifying predictive biomarkers is crucial. This review comprehensively examines the current evidence for diverse biomarkers predictive of HNSCC response to anti-PD-1/PD-L1 therapy, including but not limited to PD-L1 expression, tumor mutational burden (TMB), features of the tumor microenvironment (TME), and circulating biomarkers. This integrative approach aims to overcome current limitations, comprehensively evaluate immunotherapy response potential, enhance prognostic assessment, and ultimately guide personalized treatment strategies in clinical practice for HNSCC patients.

Indexed as

biomarkershead and neck squamous cell carcinomaimmunotherapytumor microenvironment

Identifiers

PMID42500053
PMCPMC13398851

What Socratic holds

Textmetadata
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 Socratic graph.