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Updated: Oct 8, 2025

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
Published on: April 20, 2018
Therapy-Related Transcriptional Subtypes in Matched Primary and Recurrent Head and Neck Cancer
Peter Weber1,2, Axel Künstner3,4, Julia Hess1,2,5
1Research Unit Radiation Cytogenetics, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany.
Purpose:
The genetic relatedness between primary and recurrent head and neck squamous cell carcinomas (HNSCC) reflects the extent of heterogeneity and therapy-driven selection of tumor subpopulations. Yet, current treatment of recurrent HNSCC ignores the molecular characteristics of therapy-resistant tumor populations.
Experimental Design:
From 150 tumors, 74 primary HNSCCs were RNA sequenced and 38 matched primary/recurrent tumor pairs were both whole-exome and RNA sequenced. Transcriptome analysis determined the predominant classical (CL), basal (BA), and inflamed-mesenchymal (IMS) transcriptional subtypes according to an established classification. Genomic alterations and clonal compositions of tumors were evaluated from whole-exome data.
Results:
Although CL and IMS subtypes were more common in primary HNSCC with low recurrence rates, the BA subtype was more prevalent and stable in recurrent tumors. The BA subtype was associated with a transcriptional signature of partial epithelial-to-mesenchymal transition (p-EMT) and early recurrence. In 44% of matched cases, the dominant subtype changed from primary to recurrent tumors, preferably from IMS to BA or CL. Expression analysis of prognostic gene sets identified upregulation of hypoxia, p-emt, and radiotherapy resistance signatures and downregulation of tumor inflammation in recurrences compared with index tumors. A relevant subset of primary/recurrent tumor pairs presented no evidence for a common clonal origin.
Conclusions:
Our study showed a high degree of genetic and transcriptional heterogeneity between primary/recurrent tumors, suggesting therapy-related selection of a transcriptional subtype with characteristics unfavorable for therapy. We conclude that therapy decisions should be based on genetic and transcriptional characteristics of recurrences rather than primary tumors to enable optimally tailored treatment strategies.
Insights
Treatment for recurrent head and neck squamous cell carcinomas (HNSCC) should consider tumor molecular changes. Recurrent HNSCC often shifts to a basal subtype, indicating therapy resistance and necessitating tailored treatment strategies.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Head and neck squamous cell carcinomas (HNSCC) exhibit genetic heterogeneity, influencing recurrence and treatment response.
- Current treatments for recurrent HNSCC often overlook molecular shifts and therapy-selected resistant populations.
Purpose of the Study:
- To investigate the genetic and transcriptional relatedness between primary and recurrent HNSCC.
- To identify molecular characteristics associated with therapy resistance and recurrence in HNSCC.
Main Methods:
- RNA sequencing and whole-exome sequencing of 74 primary HNSCCs and 38 matched primary/recurrent tumor pairs.
- Transcriptome analysis to classify tumors into classical (CL), basal (BA), and inflamed-mesenchymal (IMS) subtypes.
- Evaluation of genomic alterations and clonal composition.
Main Results:
- The basal (BA) subtype, associated with partial epithelial-to-mesenchymal transition (p-EMT) and early recurrence, was more prevalent in recurrent HNSCC.
- Tumor subtype shifted in 44% of matched cases, often from IMS or CL to BA.
- Recurrent tumors showed increased signatures of hypoxia, p-EMT, and radiotherapy resistance, with decreased tumor inflammation.
- A subset of primary/recurrent pairs lacked a common clonal origin.
Conclusions:
- Significant genetic and transcriptional heterogeneity exists between primary and recurrent HNSCC, driven by therapy selection.
- Treatment decisions for recurrent HNSCC should be guided by the molecular profile of the recurrent tumor for optimal therapeutic strategies.
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