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EMBO Molecular Medicine
Article . 2025 . Peer-reviewed
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LIMA1-alpha staining predicts curative intent surgery response in HPV negative head and neck cancer

Authors: Xi Qiao; Johannes Routila; Mari Tienhaara; Heikki Irjala; Priyadharshini Parimelazhagan Santhi; Teemu Huusko; Linda Nissi; +15 Authors

LIMA1-alpha staining predicts curative intent surgery response in HPV negative head and neck cancer

Abstract

Abstract In many solid cancer types, surgery alone could be a sufficient first therapy option for a significant number of cancer patients. However, there are currently no diagnostic solutions to identify patients who could be stratified to surgery alone. To identify a biomarker predicting cancer surgery response, candidate biomarkers were studied in a non-metastatic head and neck squamous cell carcinoma (nmHNSCC) cohort well representative of the HPV-negative patient population. LIMA1 immunohistochemistry (IHC) with specificity-validated antibodies outperformed all other biomarkers in multivariable survival analyses of patients with nmHNSCC (n = 128, HR 2.10, P = 0.006). The prognostic effect was selective to LIMA1-alpha isoform IHC detection in patients who had received surgical therapy (n = 184, HR 2.39, P > 0.001). Strikingly, our real-world validation results, using two prospectively collected cohorts (n = 15 and n = 86), demonstrate that none of the LIMA1 negative patients died of HNSCC during the follow-up. Collectively, we report here the discovery of a diagnostic LIMA1-alpha IHC assay for HPV-negative HNSCC patient stratification to surgery-only therapy. Application of LIMA1 detection in routine nmHNSCC diagnostics would revolutionize the clinical management of HNSCC patients.

Keywords

Population-validated Tissue Microarray, Eplin, Otorhinolaryngology, ophthalmology, Pv-tma, Cancers, Disease-Specific Survival

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold