Evidence of Association of CYP1A1 Expression in Blood Lymphocytes and Clinicopathological Variables in Oral Cancer

Association of smokeless tobacco (SLT) with oral cancer is well documented. The nitrosamines of SLT are metabolically bioactivated by CYP1A1 . Therefore, in this pilot study, we investigated association of CYP1A1 expression with polymorphism, clinicopathological variables and outcome in exclusive SL...

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Bibliographic Details
Published in:Indian journal of clinical biochemistry 2022-04, Vol.37 (2), p.178-184
Main Authors: Singh, R. D., Patel, K. A., Patel, J. B., Pandya, S. J., Patel, P. S.
Format: Article
Language:English
Subjects:
Analysis
Biochemistry
Biomedical and Life Sciences
Cancer
Chemistry/Food Science
Chewing tobacco
Cytochrome P-450
Cytochrome P450
Ethylenediaminetetraacetic acid
Gene expression
Invasiveness
Life Sciences
Lymphocytes
Metastases
Microbiology
Mouth cancer
Nitrosamines
Nitrosoamines
Oncology, Experimental
Oral cancer
Original
Original Research Article
Pathology
Peripheral blood
Polymerase chain reaction
RNA
Tumors
Citations: Items that this one cites
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Summary:Association of smokeless tobacco (SLT) with oral cancer is well documented. The nitrosamines of SLT are metabolically bioactivated by CYP1A1 . Therefore, in this pilot study, we investigated association of CYP1A1 expression with polymorphism, clinicopathological variables and outcome in exclusive SLT chewers. Semiquantitative RT-PCR analysis on RNA isolated from peripheral blood lymphocytes of 65 histopathologically confirmed cases revealed increased CYP1A1 mRNA expression in Msp I ( CYP1A1*2A ) and Ile/Val ( CYP1A1*2C ) polymorphic variants. A higher trend of CYP1A1 mRNA levels in invasive and recurrent tumors which also associated with shorter disease free and overall survival was seen. Odds ratio analysis indicated the association of higher CYP1A1 mRNA levels with disease aggressiveness i.e. metastasis and invasion. Study revealed wider oncogenic role of CYP1A1 in oral cancer patients and justifies further studies and analysis in a large cohort.
ISSN:0970-1915
0974-0422
DOI:10.1007/s12291-021-00958-1