ReviewCancers2026
Selected Potential Biomarkers in Laryngeal Cell Carcinomas.
Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- An LSCC-specific R-loop-related model predicts prognosis and neoadjuvant immunotherapy response and identifies EIF5A2-mediated tumor-immune crosstalk.World journal of surgical oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Laryngeal squamous carcinoma is a major type of head and neck cancer. Despite a wide range of treatment options, it remains a challenge to identify which ones are the most effective for which groups of patients. One solution is to analyse selected biomarkers. In this paper, biomarkers are divided into distinctive groups according to the molecular pathways analysed or specific molecules within the cell or in tissue fluids. The paper provides a description of these groups, including genetic and apoptosis-associated factors, factors regulating angiogenesis, cell structure regulators, immune factors in the form of programmed cell death ligand (PD-L1), hormone receptors, molecules involved in growth factor pathways, and cell cycle regulators. Representative examples are discussed for each of these groups, indicating their potential usefulness in staging, assessing tumour aggressiveness, and making a prognosis.
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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.