Giant Pleomorphic Adenoma of Parotid Gland: A Rare Cytological Diagnosis

Pleomorphic adenoma is the most common salivary gland neoplasm, which affects both major and minor salivary glands. It is also the most common neoplasm arising in the parotid. In minor salivary glands, it most commonly involves the palate and rarely involves the lips, cheek and gingiva. It is also called Benign Mixed Tumour (BMT), since it is composed of a variable amount of epithelial and mesenchymal elements. Diagnostic modalities include Ultrasonography (USG), Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). MRI provided the most precise structural information of the tumour as well as surrounding structures. A 60-year-old female presented with a massive right-sided infra-auricular swelling, since 20 years. On Contrast Enhanced Computed Tomography (CECT), a huge lobular exophytic lesion with thin enhancing septation and few calcific foci was visualised in the right parotid region. The Fine Needle Aspiration Cytology (FNAC) yielded the diagnosis of Pleomorphic Adenoma (PA). Giant PA with an indolent course is a rare entity in itself. This is a case of giant PA of the parotid gland growing insidiously over a period of 20 years

Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN)

The mortality associated with cervical cancer can be reduced if detected at the precancer stage, but current methods are limited in terms of subjectivity, cost and time. Optical spectroscopic methods such as Raman spectroscopy can provide a rapid, label-free and nondestructive measurement of the biochemical fingerprint of a cell, tissue or biofluid. Previous studies have shown the potential of Raman spectroscopy for cervical cancer diagnosis, but most were pilot studies with small sample sizes. The aim of this study is to show the clinical utility of Raman spectroscopy for identifying cervical precancer in a large sample set with validation in an independent test set. Liquid-based cervical cytology samples (n = 662) (326 negative, 200 cervical intraepithelial neoplasia (CIN)1 and 136 CIN2+) were obtained as a training set. Raman spectra were recorded from single-cell nuclei and subjected to a partial least squares discriminant analysis (PLSDA). In addition, the PLSDA classification model was validated using a blinded independent test set (n = 69). A classification accuracy of 91.3% was achieved with only six of the blinded samples misclassified. This study showed the potential clinical utility of Raman spectroscopy with a good classification of negative, CIN1 and CIN2+ achieved in an independent test set

Risk and protective genetic variants in suicidal behaviour: association with SLC1A2, SLC1A3, 5-HTR1B &NTRK2 polymorphisms

<p>Abstract</p> <p>Background</p> <p>Suicidal behaviour is known to aggregate in families. Patients with psychiatric disorders are at higher risk for suicide attempts (SA), however protective and risk genetic variants for suicide appear to be independent of underlying psychiatric disorders. Here we investigate genetic variants in genes important for neurobiological pathways linked to suicidal behaviour and/or associated endophenotypes, for association with SA among patients with co-existing psychiatric illness. Selected gene-gene and gene-environment interactions were also tested.</p> <p>Methods</p> <p>DNA was obtained from bloods of 159 patients (76 suicide attempters and 83 non-attempters), who were profiled for DSM-IV Axis I psychiatric diagnosis. Twenty-eight single nucleotide polymorphisms (SNPs) from 18 candidate genes (<it>COMT, 5-HT2A, 5-HT1A, 5-HTR1B, TPH1, MAO-A, TPH2, DBH, CNR1, BDNF, ABCG1, GABRA5, GABRG2, GABRB2, SLC1A2, SLC1A3, NTRK2, CRHR1</it>) were genotyped. Genotyping was performed by KBioscience. Tests of association between genetic variants and SA were conducted using Chi squared and Armitage Trend tests. Binary logistical regression analyses were performed to evaluate the contribution of individual genetic variants to the prediction of SA, and to examine SNPs for potential gene-gene and gene-environment interactions.</p> <p>Results</p> <p>Our analysis identified 4 SNPs (rs4755404, rs2269272, rs6296 and rs1659400), which showed evidence of association with SA compared to a non-attempter control group. We provide evidence of a 3-locus gene-gene interaction, and a putative gene-environment interaction, whereby genetic variation at the <it>NTRK2 </it>locus may moderate the risk associated with history of childhood abuse.</p> <p>Conclusion</p> <p>Preliminary findings suggest that allelic variability in <it>SLC1A2/3, 5-HTR1B </it>and <it>NTRK2 </it>may be relevant to the underlying diathesis for suicidal acts.</p

Evaluation of Serum Uric Levels in Nasopharyngeal Carcinoma: An Institutional Based Study

Background: Nasopharyngeal carcinoma (NPC) is one of the Epstein-Barr virus (EBV)-associated malignancies. The present study was conducted to assess serum uric acid levels in nasopharyngeal carcinoma.Materials and Methods: In the present study 80 pathologically diagnosed NPC patients free of distant metastasis were enrolled in this retrospective study. The study included a total of 160 subjects, 80 patients with NPC in the experimental group and 80 patients in control group. Two milliliters of intravenous blood were taken from all participants after an overnight fast. The blood was centrifuged at 3000 rpm for 5 min and separated serum was aspirated into tubes and analyzed for uric acid using the reagent kit and BTS 350 Semi-Auto analyzer. Tabulation of the results was carried out for both groups. For all tests, P values ≤ 0.05 were utilized for statistical significance.Results: The study included a total of 160 subjects, 80 patients with NPC in the experimental group and 80 patients in control group. The mean age among study group was 54.8 years and that of the control group was 53.65 years. In study group 56.25% were males and in control group 52.5% were males. Malees were in predominance. In the study group, out of 80 patients, 37.5% patients had low serum uric acid levels (&lt;3 mg/dl), 56.25patients had normal serum uric acid levels (3–6 mg/dl) and 6.25%patients had high serum uric acid levels (&gt;6 mg/dl). Among 80 subjects in control group, 10% subjects had low serum uric acid levels (&lt;3 mg/dl), 30.0% subjects had normal serum uric acid levels (3–6 mg/dl), and 60% subjects had high serum uric acid levels (&gt;6 mg/dl). The distribution of serum uric acid levels among the study group and the control group showed statistically very high significance (P &lt; 0.001)Conclusion: The present study concluded that serum uric acid was lower in nasopharyngeal carcinoma patients compared with healthy volunteers and low serum uric acid was associated with increased risk of nasopharyngeal carcinoma development

Mutational analysis of the insulin-like growth factor 1 receptor tyrosine kinase domain in non-small cell lung cancer patients

The insulin‑like growth factor 1 receptor (IGF1R) pathway plays an important role in the pathogenesis of non‑small cell lung cancer (NSCLC) and also provides a mechanism of resistance to targeted therapies. IGF1R is therefore an ideal therapeutic target and several inhibitors have entered clinical trials. However, thus far the response to these inhibitors has been poor, highlighting the importance of predictive biomarkers to identify patient cohorts who will benefit from these targeted agents. It is well‑documented that mutations and/or deletions in the epidermal growth factor receptor (EGFR) tyrosine kinase (TK) domain predict sensitivity of NSCLC patients to EGFR TK inhibitors. Single‑nucleotide polymorphisms (SNPs) in the IGF pathway have been associated with disease, including breast and prostate cancer. The aim of the present study was to elucidate whether the IGF1R TK domain harbours SNPs, somatic mutations or deletions in NSCLC patients and correlates the mutation status to patient clinicopathological data and prognosis. Initially 100 NSCLC patients were screened for mutations/deletions in the IGF1R TK domain (exons 16‑21) by sequencing analysis. Following the identification of SNP rs2229765, a further 98 NSCLC patients and 866 healthy disease‑free control patients were genotyped using an SNP assay. The synonymous SNP (rs2229765) was the only aberrant base change identified in the IGF1R TK domain of 100 NSCLC patients initially analysed. SNP rs2229765 was detected in exon 16 and was found to have no significant association between IGF1R expression and survival. The GA genotype was identified in 53.5 and 49.4% of NSCLC patients and control individuals, respectively. No significant difference was found in the genotype (P=0.5487) or allele (P=0.9082) frequencies between the case and control group. The present findings indicate that in contrast to the EGFR TK domain, the IGF1R TK domain is not frequently mutated in NSCLC patients. The synonymous SNP (rs2229765) had no significant association between IGF1R expression and survival in the cohort of NSCLC patients

The HIF-1alpha C1772T polymorphism may be associated with susceptibility to clinically localised prostate cancer but not with elevated expression of hypoxic biomarkers.

We investigated the role of the C1772T polymorphisms in exon 12 of the Hypoxia-inducible factor-1 alpha (HIF-1alpha) gene C1772T genotype in prostate cancer (PCa) and amplification of the hypoxic response. We identified the heterozygous germline CT genotype as an increased risk factor for clinically localised prostate cancer (Odds ratio = 6.2; p < 0.0001). While immunostaining intensity for HIF-1alpha and VEGF was significantly enhanced in 75% of PCa specimens when compared to matched benign specimens (p < 0.0001), the CT genotype did not modulate the kinetics of HIF-1alpha protein expression in hypoxia in vitro, and was not associated with enhanced expression of hypoxic biomarkers. This study provides the first evidence of an increased risk for clinically localised prostate cancer in men carrying the C1772T HIF-1alpha gene polymorphism. Although our results did not suggest an association between expression of hypoxic biomarkers and genotype status, the correlation may merit further investigation

Estimating the conditional probability of developing human papilloma virus related oropharyngeal cancer by combining machine learning and inverse bayesian modelling

The epidemic increase in the incidence of Human Papilloma Virus (HPV) related Oropharyngeal Squamous Cell Carcinomas (OPSCCs) in several countries worldwide represents a significant public health concern. Although gender neutral HPV vaccination programmes are expected to cause a reduction in the incidence rates of OPSCCs, these effects will not be evident in the foreseeable future. Secondary prevention strategies are currently not feasible due to an incomplete understanding of the natural history of oral HPV infections in OPSCCs. The key parameters that govern natural history models remain largely ill-defined for HPV related OPSCCs and cannot be easily inferred from experimental data. Mathematical models have been used to estimate some of these ill-defined parameters in cervical cancer, another HPV related cancer leading to successful implementation of cancer prevention strategies. We outline a “double-Bayesian” mathematical modelling approach, whereby, a Bayesian machine learning model first estimates the probability of an individual having an oral HPV infection, given OPSCC and other covariate informatio

Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN)

The mortality associated with cervical cancer can be reduced if detected at the precancer stage, but current methods are limited in terms of subjectivity, cost and time. Optical spectroscopic methods such as Raman spectroscopy can provide a rapid, label-free and nondestructive measurement of the biochemical fingerprint of a cell, tissue or biofluid. Previous studies have shown the potential of Raman spectroscopy for cervical cancer diagnosis, but most were pilot studies with small sample sizes. The aim of this study is to show the clinical utility of Raman spectroscopy for identifying cervical precancer in a large sample set with validation in an independent test set. Liquid-based cervical cytology samples (n = 662) (326 negative, 200 cervical intraepithelial neoplasia (CIN)1 and 136 CIN2+) were obtained as a training set. Raman spectra were recorded from single-cell nuclei and subjected to a partial least squares discriminant analysis (PLSDA). In addition, the PLSDA classification model was validated using a blinded independent test set (n = 69). A classification accuracy of 91.3% was achieved with only six of the blinded samples misclassified. This study showed the potential clinical utility of Raman spectroscopy with a good classification of negative, CIN1 and CIN2+ achieved in an independent test set

Exposure to tobacco smoke measured by urinary nicotine metabolites increases risk of p16/Ki-67 co-expression and high-grade cervical neoplasia in HPV positive women: A two year prospective study.

BACKGROUND Human papillomavirus (HPV) is considered the strongest epidemiologic risk factor for cervical cancer. However, it is not a sufficient cause given the high prevalence of transient infections. We examined the relationship between exposure to tobacco smoke, measured using urinary nicotine metabolite concentrations, and p16/Ki-67 co-expression in cervical smears and subsequent risk of developing CIN2+/CIN3+ lesions in HPV positive women. METHODS This prospective longitudinal study enrolled women presenting to colposcopy with cytological abnormalities LSIL/ASCUS at the National Maternity Hospital, Dublin. Women gave a urine sample which was used to perform the Nicotine Metabolite Assay (Siemens). HPV positive (HC2) cervical smears were stained by immunocytochemistry for p16/Ki-67 (CINtec PLUS, Roche). Two year follow-up data, including histological diagnosis, was collected for each woman. Crude and adjusted odds ratios were calculated using logistic regression to investigate associations between tobacco smoke, p16/Ki-67 positivity and CIN2+/CIN3 + . RESULTS In total, 275 HPV positive women were included. Women with nicotine metabolite concentrations above 500 ng/mL, indicative of smoking, were classified as smokers. Smokers were at an increased risk of testing positive for p16/Ki-67 (OR 1.678; 1.027-2.740) and CIN2+ and CIN3+ (OR 1.816; 1.107-2.977 and OR 2.453; 1.200-5.013) in compared to non-smokers. In p16/Ki-67 positive women, smoking further increased their risk of CIN2+/CIN3+ (OR 2.290; 1.017-5.159 and OR 3.506 (1.534-8.017). CONCLUSION HPV positive women exposed to tobacco smoke are at a higher risk of testing positive for p16/Ki-67 co-expression. Risk of high-grade disease is almost doubled in women who are exposed to tobacco smoke