This case report further substantiates the belief that docetaxel represents one of a very limited number of agents that appear capable of giving rise to scleroderma-like features.
Exposure to pollutants in the environment, tobacco and alcohol consumption, poor oral hygiene and opportunistic viral infections are important aetiological factors in head and neck cancers. In this study, we evaluate the complex interrelationships between these factors and molecular events such as p53 overexpression in causation of head and neck cancers. Tissue samples from 110 patients with histopathologically confirmed carcinoma of head and neck were analyzed from our tissue biorepository with patient consent. Data pertaining to their dietary habits, tobacco and alcohol consumption were abstracted. P53 overexpression was analysed by immunohistochemistry and HPV (high-risk genotype) were studied by Chromogenic in situ Hybridization using an ultra sensitive DNA probe. Chi-square analysis was done to determine relationships between proportions of dependent and independent variables. Bivariate relationships were determined between these variables using Spearman's rank correlation. Linear regression analysis was used to determine the best predictor variable influencing p53 expression. Tobacco consumption especially smoking cigarettes and all forms of tobacco consumption put together and HPV infection significantly influenced p53 overexpression. Forty-five percent of the studied cohort was positive for HPV. Regression analysis showed interaction between tobacco and HPV infection to be a primary predictor (β = 0.31, p = 0.02) for p53 expression. Tobacco in any form: chewing, smoking and snuffing, along with HPV infection is significantly associated with p53 overexpression. There is a high prevalence of HPV infection (45%) in Indian patients suggesting its possible role in the aetiology of head and neck cancer.
Breast cancer (BC) is a heterogeneous disease. Numerous chemotherapeutic agents are available for early stage or advanced/metastatic breast cancer to provide maximum benefit with minimum side effects. However, the clinical outcome of patients with the same clinical and pathological characteristics and treated with similar treatments may show major differences and a vast majority of patients still develop treatment resistance and eventually succumb to disease. It remains an unmet need to identify specific molecular defects, new biomarkers to enable clinicians to adopt individualized treatment for every patient in terms of endocrine, chemotherapy or targeted therapy which will improve clinical outcomes in BC. Our study aimed to identify frequent hotspot mutation profile in BC by targeted deep sequencing in cancer-related genes using Illumina Truseq amplicon/Swift Accel-Amplicon panel and MiSeq technology in an IRB-approved prospective study in a CLIA compliant laboratory. All the cases had pathology review for stage, histological type, hormonal status and Ki-67. Data was processed using Strand NGS™. Mutations identified in the tumor were assessed for ‘actionability’ i.e. response to therapy and impact on prognosis.
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