Cervical cancer is considered as the second most commonly occurring malignancy among women, next to breast cancer. It is well known that most of the cancer patients diagnosed with advanced stages and there is a pressing need for improved methods to detect cancer at its initial stages. Many techniques have been adopted for the diagnosis of cervical cancer. Among these, fluorescence polarization spectroscopy is a complementary technique of fluorescence spectroscopy which helps us to elucidate the spectral characteristics which highly depend on pH, viscosity and local environment. Since urine has many metabolites and the measurement of native fluorescence of urine, in principle, able to provide an indication of a number of health conditions, attempts were made to study fluorescence anisotropic characterization of the human urine of cervical cancer patients and normal subjects. Significant differences were observed between the anisotropic and polarization values of cancer subjects and normal subjects.
Stokes shift spectroscopy has been considered as a potential tool in characterization of multiple components present in tissues and biofluids. Since, the intensity and resolution of the fluorophores depends on the Stokes shift, different opinion has been reflected by the researchers in fixing the Stokes shift. Also, not many studies have been reported on the characterization of biofluids and especially on the diagnosis of cancer. Urine is considered as an important diagnostic biofluid as it is rich in many metabolites where many of them are native fluorophores. In this study, we aimed at characterizing the urine of normal subjects and patients with cervical cancer as function of different Stokes shift. It is observed that Neopterin and Riboflavin are the main fluorophores contribute to the variation between normal and cervical cancer subjects. Ratio variables based linear discriminant analysis shows that the Stokes shift of 40 nm and 60 nm may be considered for better characterization with better signal to noise ratio when compared to others.
ion for various disease diagnosis including cancers. Oral cancer is one of the most common cancers in India and it accounts for one third of the global oral cancer burden. Raman spectroscopy of tissues has gained much attention in the diagnostic oncology, as it provides unique spectral signature corresponding to metabolic alterations under different pathological conditions and micro-environment. Based on these, several studies have been reported on the use of Raman spectroscopy in the discrimination of diseased conditions from their normal counterpart at cellular and tissue level but only limited studies were available on bio-fluids. Recently, optical characterization of bio-fluids has also geared up for biomarker identification in the disease diagnosis. In this context, an attempt was made to study the metabolic variations in the blood, urine and saliva of oral cancer patients and normal subjects using Raman spectroscopy. Principal Component based Linear Discriminant Analysis (PC-LDA) followed by Leave-One-Out Cross-Validation (LOOCV) was employed to find the statistical significance of the present technique in discriminating the malignant conditions from normal subjects.
Oral cancers are considered to be one of the most commonly occurring malignancy worldwide. Over 70% of the cases report to the doctor only in advanced stages of the disease, resulting in poor survival rates. Hence it is necessary to detect the disease at the earliest which may increase the five year survival rate up to 90%. Among various optical spectroscopic techniques, Raman spectroscopy has been emerged as a tool in identifying several diseased conditions, including oral cancers. Around 30 - 80% of the malignancies of the oral cavity arise from premalignant lesions. Hence, understanding the molecular/spectral differences at the premalignant stage may help in identifying the cancer at the earliest and increase patient’s survival rate. Among various bio-fluids such as blood, urine and saliva, urine is considered as one of the diagnostically potential bio-fluids, as it has many metabolites. The distribution and the physiochemical properties of the urinary metabolites may vary due to the changes associated with the pathologic conditions. The present study is aimed to characterize the urine of 70 healthy subjects and 51 pre-malignant patients using Raman spectroscopy under 785nm excitation, to know the molecular/spectral differences between healthy subjects and premalignant conditions of oral malignancy. Principal component analysis based Linear discriminant analysis were also made to find the statistical significance and the present technique yields the sensitivity and specificity of 86.3% and 92.9% with an overall accuracy of 90.9% in the discrimination of premalignant conditions from healthy subjects urine.