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Tumor microenvironment in oral squamous cell carcinoma: Special stains and scanning electron microscopic study
Srivastava Chandni1, Sandhya Tamgadge1, Avinash Tamgadge1, Treville Pereira1, Mayura Mahajan2, Sourab Kumar1, Abhishek Jadhav2
1 Department of Oral and Maxillofacial Pathology and Microbiology, D Y Patil University, School of Dentistry, Navi Mumbai, Maharashtra, India
2 Department of Oral and Maxillofacial Pathology and Microbiology, D.Y Patil Deemed to be University School of Dentistry, Navi Mumbai, Maharashtra, India
Correspondence Address:
Sandhya Tamgadge,
Department of Oral and Maxillofacial Pathology and Microbiology, D Y Patil University School of Dentistry, Nerul Navi Mumbai Sector 7, 400 706, Maharashtra
India
 Source of Support: None, Conflict of Interest: None DOI: 10.4103/jmau.jmau_19_22
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Background: Effect of the oral cancerous epithelial cells on the extracellular matrix (ECM) and vice versa is also responsible for the growth and progression of cancer. The effect of inflammation on the stroma and its association with progression has also been stated in literature. Materials and Methods: The control group consisted of 10 patients with apparently normal mucosa with no history of habits, the study group consisted of 30 patients with oral squamous cell carcinoma (OSCC) confirmed by examination and incisional biopsy. H and E staining, Masson's Trichrome Staining, and Verhoeff's Van Gieson staining were used to study the inflammation, collagen fibers, and elastic fiber, respectively. A few selected specimens were studied under the scanning electron microscope. The grade of inflammation was statistically correlated with collagen and elastic fibers. Observation: Grade of inflammation was closely associated with lymphadenopathy and the density of collagenous and elastic components of the ECM. The scanning electron microscopic evaluation of elastic fibers revealed irregular fragmented elastic fibers. Conclusion: The stroma is the key to complete removal and treatment of OSCC; however, more studies are needed to define the role of each component, therefore improving the prognosis of a patient.
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