Identification of salivary metabolic biomarker signatures for oral tongue squamous cell carcinoma.

OBJECTIVE: To identify the salivary metabolites associated with squamous cell carcinoma of the tongue to develop easy and non-invasive potential biomarkers for disease diagnosis. DESIGN: Initially, the study utilized untargeted metabolomics to analyze 20 samples of tongue squamous cell carcinoma and 10 control samples. The objective was to determine the salivary metabolites that exhibited differential expression in tongue squamous cell carcinoma. Then the selected metabolites were validated using targeted metabolomics in saliva samples of 100 patients diagnosed with squamous cell carcinoma of the tongue, as well as 30 healthy control individuals. RESULTS: From the analysis of untargeted metabolomics, 10 metabolites were selected as potential biomarkers. In the subsequent targeted metabolomics study on these selected metabolites, it was observed that N-Acetyl-D-glucosamine, L-Pipecolic acid, L-Carnitine, Phosphorylcholine, and Deoxyguanosine exhibited significant differences. The receiver operating characteristic curve analysis indicates a combination of three important metabolites such as N-Acetyl-D-glucosamine, L-Pipecolic acid and L-Carnitine provided the best prediction with an area under the curve of 0.901. CONCLUSIONS: The present result reveals that the N-Acetyl-D-glucosamine, L-Pipecolic acid and L-Carnitine are the signature diagnostic biomarkers for oral tongue squamous cell carcinoma. These findings can be used to develop a rapid and non-invasive method for disease monitoring and prognosis in oral tongue cancer.

Phase IIb trial comparing two concurrent cisplatin schedules in locally advanced head and neck cancer.

BACKGROUND: Concurrent chemoradiation with 3 weekly cisplatin (100 mg/m2) is the standard of care for locally advanced head and neck cancer. However, this regimen has been shown to be associated with lesser compliance and higher toxicities. Hence, there is a need to explore alternative concurrent cisplatin regimens. OBJECTIVES: The objective of this study was to compare the efficacy and toxicities of 3 weekly cisplatin (100 mg/m2) with weekly cisplatin (40 mg/m2) concurrently with radiation in patients with locally advanced head and neck cancer. PATIENTS AND METHODS: This phase IIb trial randomized 56 patients with Stage III and IV squamous cell carcinoma of oropharynx, hypopharynx, and larynx to Arm A or Arm B. Arm A received cisplatin 100 mg/m2 3 weekly and Arm B received cisplatin 40 mg/m2 weekly concurrently with radiation. The primary end point was disease-free survival (DFS) and secondary end points were overall survival (OS) and acute toxicity. DFS and OS were estimated using Kaplan-Meier method, and log-rank test was used to assess the difference in these distributions with respect to treatment. RESULTS: The 2-year DFS in Arm A and Arm B was 64.5% and 52.8%, respectively (P = 0.67). The OS at 2 years was 71% and 61.1% in Arm A and Arm B, respectively (P = 0.61). There were no significant differences in acute hematological, renal, or mucosal toxicities between the two arms. CONCLUSION: This study showed a nonsignificant improvement in DFS and OS in the 3 weekly cisplatin arm over the weekly arm with comparable toxicities. The trial is registered with Clinical Trial Registry of India (CTRI registration number: CTRI/2013/05/003703, URL-http://ctri.nic.in).

Combination of genetic variants in cyclin D1 and retinoblastoma genes predict clinical outcome in oral cancer patients.

Oral cancer is a dreadful disease with a wide variation in geographical distribution. In order to identify some useful biomarkers for the disease prognosis, the present study assessed the influence of single nucleotide polymorphisms (SNPs) in cell cycle genes on survival in a well-annotated set of patients with oral squamous cell carcinoma (OSCC). The study examined 12 sequence variants or SNPs in selected cell cycle genes, with prognostic outcomes in 311 oral cancer patients. Our analysis showed that SNPs in cyclin D1:rs9344 and retinoblastoma:rs427686 genes showed a strong correlation with disease-free survival. In addition, the cumulative effect of these SNPs significantly and independently predicts the survival. Thus, the current study identified genotypes (SNP signature), which can be used as novel prognostic biomarkers to stratify patients based on disease-free survival and therefore maybe helpful in therapeutic decision-making.