A response prediction model for taxane, cisplatin, and 5-fluorouracil chemotherapy in hypopharyngeal carcinoma

Scientific Reports
Qi ZhongYingduan Cheng

Abstract

Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide. The five-year survival rate of HNSCC has not improved even with major technological advancements in surgery and chemotherapy. Currently, docetaxel, cisplatin, and 5-fluoruracil (TPF) treatment has been the most popular chemotherapy method for HNSCC; but only a small percentage of HNSCC patients exhibit a good response to TPF treatment. Unfortunately, at present, no reasonably effective prediction model exists to assist clinicians with patient treatment. For this reason, patients have no other alternative but to risk neoadjuvant chemotherapy in order to determine their response to TPF. In this study, we analyzed the gene expression profile in TPF-sensitive and non-sensitive patient samples. We identified a gene expression signature between these two groups. We further chose 10 genes and trained a support vector machine (SVM) model. This model has 88.3% sensitivity and 88.9% specificity to predict the response to TPF treatment in our patients. In addition, four more TPF responsive and four more TPF non-sensitive patient samples were used for further validation. This SVM model has been proven to achieve approximately 75.0% sensitivity and 100%...Continue Reading

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Citations

Jul 8, 2020·Clinical and Experimental Otorhinolaryngology·Bayu Adhi TamaSoo Whan Kim
Apr 3, 2021·Cancer Informatics·Jason D WellsTodd W Miller
Jul 6, 2021·Frontiers in Oncology·Baoling LiuXueyuan Heng

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Methods Mentioned

BETA
biopsy

Software Mentioned

illumina
limma

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