p53 Gene Status as a Predictor of Tumor Response to Induction Chemotherapy of Patients With Locoregionally Advanced Squamous Cell Carcinomas of the Head and Neck
Adult
Male
*Point Mutation
*Gene Expression Regulation, Neoplastic
Polymerase Chain Reaction
Risk Assessment
03 medical and health sciences
0302 clinical medicine
Predictive Value of Tests
Antineoplastic Combined Chemotherapy Protocols
Biomarkers, Tumor
Humans
Point Mutation
Antineoplastic Combined Chemotherapy Protocols/*therapeutic use
Aged
Tumor Markers, Biological/analysis
Middle Aged
Genes, p53
Carcinoma, Squamous Cell/*drug therapy/*genetics/pathology
3. Good health
Gene Expression Regulation, Neoplastic
Fluorouracil/administration & dosage
Treatment Outcome
Genes, p53/*genetics
Head and Neck Neoplasms
Head and Neck Neoplasms/*drug therapy/*genetics/pathology
Carcinoma, Squamous Cell
Female
Fluorouracil
Cisplatin
Cisplatin/administration & dosage
DOI:
10.1200/jco.2000.18.2.385
Publication Date:
2017-02-24T09:32:46Z
AUTHORS (9)
ABSTRACT
PURPOSE: To determine whether p53 gene status predicts tumor responses to platinum- and fluorouracil-based induction chemotherapy in locoregionally advanced squamous cell carcinomas of the head and neck. PATIENTS AND METHODS: Tumor responses of 105 patients were measured at the primary tumor site. Objective response and major response were defined by a 50% and 80% reduction in tumor size, respectively. All coding parts of p53 gene were directly sequenced. p53 expression in tumor cells was determined by immunohistochemistry. Human papillomavirus infection was detected by polymerase chain reaction. Odd ratios were adjusted by stepwise logistic regression analysis. RESULTS: p53 mutations, p53 expression, and tumor stage were sufficient to explain the variation in tumor responses to chemotherapy in multivariate models. p53 mutation was the only variable to significantly predict objective response (odds ratio, 0.23; 95% confidence interval, 0.10 to 0.57; P = .002) and was the strongest predictor of major response (odds ratio, 0.29; 95% confidence interval, 0.11 to 0.74; P = .006). p53 expression (odds ratio, 0.39; 95% confidence interval, 0.16 to 0.98) and tumor stage (odds ratio, 0.31; 95% confidence interval, 0.10 to 0.96) also predicted major response. Specific mutations (contact mutations) accounted for much of the reduction in the risk of major response associated with overall mutations. In complementary analyses, p53 expression was weakly predictive of major response in the subgroup with wild-type p53, and p53 mutations also predicted histologic response. CONCLUSION: p53 gene mutations are strongly associated with a poor risk of both objective and major responses to chemotherapy. Contact mutations are associated with the lowest risk of major response to chemotherapy.
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