Prognostic significance of molecular markers in oral squamous cell carcinoma: a multivariate analysis.

Abstract

BACKGROUND:

Multiple marker accumulation impacts tumor progression and biologic phenotypes affect clinical outcome of patients with head and neck cancer. Hence, this study investigated a battery of molecular markers that may help to reflect biologic aggressiveness and predict prognosis.

METHODS:

Epidermal growth factor receptor (EGFR), Stat3, H-ras, c-myc, p53, cyclin D1, p16, Rb, Ki-67, and Bcl-2 were localized immunohistochemically in 135 oral squamous cell carcinoma patients to assess prognostic value.

RESULTS:

In univariate analysis of total patients, p53, Stat3, and p16 predicted both relapse-free survival (RFS) and overall survival (OS). In Cox multivariate analysis, after adjusting for tumor size, nodal status, and lymphatic permeation, p53 was independently associated with RFS and OS, and p16 with RFS only. In only early-stage patients, in univariate analysis, nuclear Stat3 was significant for RFS and OS.

CONCLUSION:

Immunostaining of p53, p16, and Stat3 might serve as potential adjuncts in pathologic evaluation of oral tumors to predict risk of relapse.

• Authors: Neelam G Shah, Trupti I Trivedi, Rajen A Tankshali, Jignesh V Goswami, Dhaval H Jetly, Shilin N Shukla, Pankaj M Shah, Ramtej J Verma
• Journal: Head & neck (Head Neck) Vol. 31 Issue 12 Pg. 1544-56 (Dec 2009) ISSN: 1097-0347 [Electronic] United States
• PMID: 19424974 (Publication Type: Journal Article)

Chemical References

• Biomarkers, Tumor
• Cyclin D
• Ki-67 Antigen
• Proto-Oncogene Proteins c-myc
• Tumor Suppressor Protein p53
• ErbB Receptors

Topics

• Adult
• Aged
• Analysis of Variance
• Biomarkers, Tumor (metabolism)
• Biopsy, Needle
• Carcinoma, Squamous Cell (mortality, pathology, therapy)
• Cohort Studies
• Combined Modality Therapy
• Confidence Intervals
• Cyclin D (metabolism)
• ErbB Receptors (metabolism)
• Female
• Humans
• Immunohistochemistry
• India (epidemiology)
• Ki-67 Antigen (metabolism)
• Male
• Middle Aged
• Mouth Neoplasms (mortality, pathology, therapy)
• Multivariate Analysis
• Neoplasm Staging
• Probability
• Prognosis
• Proto-Oncogene Proteins c-myc (metabolism)
• Survival Analysis
• Tumor Suppressor Protein p53 (metabolism)