Publications by authors named "Ranjan Paul"

Extracellular matrix diseases like fibrosis are elusive to diagnose early on, to avoid complete loss of organ function or even cancer progression, making early diagnosis crucial. Imaging the matrix densities of proteins like collagen in fixed tissue sections with suitable stains and labels is a standard for diagnosis and staging. However, fine changes in matrix density are difficult to realize by conventional histological staining and microscopy as the matrix fibrils are finer than the resolving capacity of these microscopes.

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Mandibles with odontogenic tumors are often partially reconstructed with a metallic bone graft analogue with dental roots, crowns, along with a customized plate fixed with monocortical or bicortical screws, following resection of the tumor. In this study, two different designs of patient specific customized Ti reconstruction plates, solid and plate with holes, were considered. Fixation through both bicortical and monocortical screw types were investigated.

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Precise information on localized variations in blood circulation holds the key for noninvasive diagnostics and therapeutic assessment of various forms of cancer. While thermal imaging by itself may provide significant insights on the combined implications of the relevant physiological parameters, viz. local blood perfusion and metabolic balance due to active tumors as well as the ambient conditions, knowledge of the tissue surface temperature alone may be somewhat inadequate in distinguishing between some ambiguous manifestations of precancer and cancerous lesions, resulting in compromise of the selectivity in detection.

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This paper focuses on the status of epithelial markers, E-cadherin, and p63 in the backdrop of an abnormal amount of collagen in the sub-mucosa of dysplastic and non-dysplastic grades of OSF. Histologically confirmed OSF and normal oral mucosa samples were procured. Samples were stained by Van Gieson's stain (VG) and immunohistochemistry.

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The choice of tissue fixation is critical for preserving the morphology and biochemical information of tissues. Fragile oral tissues with lower tensile strength are challenging to process for histological applications as they are prone to processing damage, such as tissue tear, wrinkling, and tissue fall-off from slides. This leads to loss of morphological information and unnecessary delay in experimentation.

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Mesenchymal stem cells (MSC) have been widely studied for tissue regeneration and cell-based therapy. MSC can be isolated from different body tissues while several biological waste sources like dental pulp, umbilical cord, cord derived blood, amniotic fluid or urine have also emerged as potential sources of MSCs. Specifically, isolation of MSCs from such non-conventional sources show promising outcomes due to the non-invasiveness of the extraction process and high proliferation capacity of the isolated MSC.

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Article Synopsis
  • Oral sub-mucous fibrosis (OSF) is a condition that significantly increases the risk of developing oral squamous cell carcinoma (OSCC), characterized by changes in the tissues of the oral cavity.
  • The study investigates the connection between OSF transitioning into OSCC, focusing on factors like oxidative stress, hypoxia, and epithelial-mesenchymal transition (EMT), which contribute to cancer progression and metastasis.
  • Findings suggest that oxidative stress drives certain cellular changes leading to fibrosis in OSF and enhances malignancy in OSCC, highlighting potential therapeutic pathways by understanding the relationship between these processes.
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The exact process of the malignant conversion of oral submucous fibrosis (OSF) to oral cancer is not fully understood. This study aimed to detect and analyze E-cadherin expression, p63 expression, and number of mitotic figures, all correlated to cancer development, in ApoTome images of oral tissues to determine the oncogenic potentiality of OSF. ApoTome images of the study groups (6 normal, 16 OSF with dysplasia, and 10 OSF without dysplasia) were recorded.

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Bright-field microscopy (BFM) encrypts the optical transillumination profile of the transmitted light attenuated by the complex micro-structural tissue convolutions, manifested by the dense and compact regions of the specimen under examination. The connotations of idiosyncratic tissue interaction dynamics with the onset of pre-cancerous activity are encoded in the BFM acquired oral mucosa histopathological images (OMHI). In the present study, our analysis is focused on the sub-epithelium region of the oral mucosa, which has high clinical significance but sparsely explored in the literature from the textural domain.

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Background: In the context of early diagnosis and prevention of oral cancer, precise assessment of malignant potentiality of the oral potentially malignant disorders, particularly oral submucous fibrosis (OSF) is crucial. Till date, the assessment of malignant potentiality suffers from predictive ambiguity due to the lack of precision in the gold standard techniques. This can be addressed by integrating heuristic domain knowledge with quantitative analysis.

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The extent to which load transfer in a diseased mandible with odontogenic tumour might influence the potential risk of pathological fracture has scarcely been investigated. The study sought to investigate the quantitative deviations in load transfer across healthy and cancer-affected (diseased) mandibles having odontogenic tumours. The effect of size of the tumours (small: 9 mm diameter, large: 19 mm diameter), and variation in bone mechanical (elastic) properties of the mandible on load transfer in cancer-affected mandibles during a mastication cycle have been investigated.

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Study aims to investigate the effect of cigarette smoking on cancer-related transformation in oral epithelial cells of smokers through evaluating the alteration in Wnt/β-catenin and MAPK pathways. Exfoliated oral epithelial cells were collected from 138 subjects and categorized into nonsmokers, smokers and clinically diagnosed precancer and cancer patients. Real-time quantitative PCR was performed to detect the fold changes of related genes.

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Computational analysis on altered micro-nano-textural attributes of the oral mucosa may provide precise diagnostic information about oral potentially malignant disorders (OPMDs) instead of an existing handful of qualitative reports. This study evaluated micro-nano-textural features of oral epithelium from scanning electron microscopic (SEM) images and the sub-epithelial connective tissue from light microscopic (LM) and atomic force microscopic (AFM) images for normal and OPMD (namely oral sub-mucous fibrosis, i.e.

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Abnormal epithelial stratification is a sign of oral dysplasia and hence evaluation of surface characteristics of oral epithelial region can help in detection of cancerous progression. Surface characteristics can be better visualised by Scanning Electron Microscopy (SEM) in comparison to light microscopy. In our study we have developed automated image processing algorithms i.

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Nitrate (NO) and bicarbonate (HCO) are harmful for the water quality and can potentially create negative impacts to aquatic organisms, crops and humans. This study deals with the removal of NO and HCO from contaminated wastewater using Fe-exchanged nano-bentonite and FeO nanoparticles. X-ray diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy, surface area measurement and particle size analysis revealed that the adsorbents fall under the nano-scale size range with high specific surface area, and Fe was successfully exchanged in the nano-bentonite clay.

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Epithelial abnormality during the transformation of oral submucous fibrosis (OSF) into oral squamous cell carcinoma has been well studied and documented. However, the differential contribution of atrophy and hyperplasia for malignant potentiality of OSF is yet to be resolved. Existing diagnostic conjectures lack precise diagnostic attributes which may be effectively resolved by substantiation of specific molecular pathology signatures.

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Aims: Diagnostic ambiguities regarding the malignant potentiality of oral submucous fibrosis (OSF), an oral precancerous condition having dysplastic and non-dysplastic isoforms are the major failure for early intervention of oral squamous cell carcinoma (OSCC) patients. Our goal is to identify proteomic signatures from biopsies that can be used as precancer diagnostic marker for patient suffering from OSF.

Methods: The high throughput techniques adopting de novo peptide sequencing (1D SDS-PAGE coupled nanoLC MALDI tandem mass spectrometry (MS/MS)-based peptide mass fingerprint), immunohistochemistry (IHC), Western blot (WB) and real-time PCR (RT-PCR) analysis are considered for such biomarker identification and multilevel validations.

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Aim: This study aims to develop a novel noninvasive method for early cancer trend diagnosis in habitual smokers by corroborating cytomorphological and autofluorescence alterations.

Materials & Methods: A total of 120 subjects were included and categorized into nonsmoker, smoker and clinically diagnosed oral potentially malignant disorder (OPMD) patients. Oral exfoliative epithelial cells were studied through differential interference contrast and fluorescence microscopy.

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Several studies reported that mtDNA mutations may play important roles in carcinogenesis although the mechanism is not clear yet. Most of the studies compared mtDNA sequences in a tumor with those in normal tissues from different individuals ignoring inter-individual variations. In this study, 271 SNPs, 7 novel SNPs (or SNVs), and 15 somatic mutations were detected in mtDNA of 8 oral cancer tissues with respect to reference (rCRS) and adjacent normal tissues, respectively, using Ion PGM next generation sequencing method.

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Oral sub-mucous fibrosis (OSF), a potentially malignant disorder, exhibits extensive remodeling of extra-cellular matrix in the form of sub-epithelial fibrosis which is a possible sequel of assaults from different oral habit related irritants. It has been assumed that micro/nanobio-mechanical imbalance experienced in the oral mucosa due to fibrosis may be deterministic for malignant potential (7-13%) of this pathosis. Present study explores changes in mechanobiological attributes of sub-epithelial connective tissue of OSF and the normal counterpart.

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We report differential proliferation behavior of normal and fibrosis associated human oral fibroblasts on micropillar honey embedded silk fibroin substrates (HSF). Oral fibroblasts of different origins manifest differences in proliferation rate, morphology, and the cytoskeletal arrangement on HSF substrates with distinct topography (H, D, and S), stiffness, and honey concentration. It is observed that the proliferation rate is maximized for normal and inhibited for fibrosis associated fibroblasts on a HSF substrate surface with moderate height of ∼8.

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Oral cancer generally progresses from precancerous lesions such as leukoplakia (LK), lichen planus (LP) and oral submucous fibrosis (OSMF). Since few of these precancers progress to cancers; it is worth to identify biological molecules that may play important roles in progression. Here, expression deregulation of 7 miRNAs (mir204, mir31, mir31*, mir133a, mir7, mir206 and mir1293) and their possible target genes in 23 cancers, 18 LK, 12 LP, 23 OSMF tissues compared to 20 healthy tissues was determined by qPCR method.

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Purpose: Development of oral cancer is usually preceded by precancerous lesion. Despite histopathological diagnosis, development of disease specific biomarkers continues to be a promising field of study. Expression of miRNAs and their target genes was studied in oral cancer and two types of precancer lesions to look for disease specific gene expression patterns.

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In search of specific label-free biomarkers for differentiation of two oral lesions, namely oral leukoplakia (OLK) and oral squamous-cell carcinoma (OSCC), Fourier-transform infrared (FTIR) spectroscopy was performed on paraffin-embedded tissue sections from 47 human subjects (eight normal (NOM), 16 OLK, and 23 OSCC). Difference between mean spectra (DBMS), Mann-Whitney's U test, and forward feature selection (FFS) techniques were used for optimising spectral-marker selection. Classification of diseases was performed with linear and quadratic support vector machine (SVM) at 10-fold cross-validation, using different combinations of spectral features.

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