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Functional Precision Medicine Identifies Novel Druggable Targets and Therapeutic Options in Head and Neck Cancer
Chang Xu1,2, Olga Nikolova3, Ryan S Basom4
1Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington.
Abstract:
Purpose: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide, with high mortality and a lack of targeted therapies. To identify and prioritize druggable targets, we performed genome analysis together with genome-scale siRNA and oncology drug profiling using low-passage tumor cells derived from a patient with treatment-resistant HPV-negative HNSCC.Experimental Design: A tumor cell culture was established and subjected to whole-exome sequencing, RNA sequencing, comparative genome hybridization, and high-throughput phenotyping with a siRNA library covering the druggable genome and an oncology drug library. Secondary screens of candidate target genes were performed on the primary tumor cells and two nontumorigenic keratinocyte cell cultures for validation and to assess cancer specificity. siRNA screens of the kinome on two isogenic pairs of p53-mutated HNSCC cell lines were used to determine generalizability. Clinical utility was addressed by performing drug screens on two additional HNSCC cell cultures derived from patients enrolled in a clinical trial.Results: Many of the identified copy number aberrations and somatic mutations in the primary tumor were typical of HPV(-) HNSCC, but none pointed to obvious therapeutic choices. In contrast, siRNA profiling identified 391 candidate target genes, 35 of which were preferentially lethal to cancer cells, most of which were not genomically altered. Chemotherapies and targeted agents with strong tumor-specific activities corroborated the siRNA profiling results and included drugs that targeted the mitotic spindle, the proteasome, and G2-M kinases WEE1 and CHK1 We also show the feasibility of ex vivo drug profiling for patients enrolled in a clinical trial.Conclusions: High-throughput phenotyping with siRNA and drug libraries using patient-derived tumor cells prioritizes mutated driver genes and identifies novel drug targets not revealed by genomic profiling. Functional profiling is a promising adjunct to DNA sequencing for precision oncology. Clin Cancer Res; 24(12); 2828-43. ©2018 AACR.
Insights
Functional profiling of patient-derived head and neck squamous cell carcinoma (HNSCC) cells identified novel drug targets. This approach complements genomic profiling for precision oncology.
Area of Science:
- Oncology
- Genomics
- Drug Discovery
Background:
- Head and neck squamous cell carcinoma (HNSCC) is a prevalent cancer with high mortality and limited targeted therapies.
- Genomic analysis alone often fails to identify actionable therapeutic targets in HNSCC.
- Patient-derived tumor cells offer a platform for functional profiling to uncover novel therapeutic strategies.
Purpose of the Study:
- To identify and prioritize druggable targets for treatment-resistant, HPV-negative HNSCC.
- To evaluate the utility of genome-scale siRNA and oncology drug profiling in patient-derived cells.
- To assess the feasibility of ex vivo drug profiling for clinical trial patient stratification.
Main Methods:
- Established a tumor cell culture from treatment-resistant HPV-negative HNSCC.
- Performed whole-exome sequencing, RNA sequencing, and comparative genome hybridization.
- Conducted high-throughput phenotyping using siRNA and oncology drug libraries on patient-derived cells and keratinocytes.
Main Results:
- Genomic profiling revealed typical HNSCC alterations but no clear therapeutic targets.
- siRNA profiling identified 391 candidate targets, with 35 preferentially lethal to cancer cells, many not genomically altered.
- Drug screens validated siRNA findings, highlighting targets like mitotic spindle, proteasome, and G2-M kinases (WEE1, CHK1); ex vivo profiling proved feasible.
Conclusions:
- High-throughput functional profiling of patient-derived tumor cells prioritizes targets missed by genomic analysis.
- This approach identifies novel drug targets and validates existing ones, advancing precision oncology.
- Functional profiling is a valuable adjunct to DNA sequencing for personalized cancer therapy.
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