Micrometastasis detection using modified papanicolaou stain in nodal tissues of oral squamous cell carcinoma – A histological study.

Autor: Fernandes, Anisha, Jayanth, Diya, Sowmya, S, Augustine, Dominic, Haragannavar, Vanishri, Prasad, Kavitha, Hegde, Usha, Sreeshyla, H
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Zdroj: Journal of Cancer Research & Therapeutics; 2023 Suppl 2, Vol. 19, p863-868, 6p
Abstrakt: Context: Cervical lymph node metastasis is the most important prognostic factor in Squamous Cell Carcinoma of Head and Neck (SCCHN). Detection and evaluation of micro-metastasis forms the basis for diagnosis, staging, treatment options and prognosis. Lymph node prognostic factors are extremely important for the survival and recurrence in the patient. Assessing lymph node metastasis in the absence of clinical enlargement is challenging. Aim: To evaluate micrometastasis and individual tumor cells (ITC) in regional lymph nodes of oral squamous cell carcinoma (OSCC) by modified papanicolaou (PAP) stain and re-evaluate the tumor staging. Settings and Design: The retrospective study was executed at MS Ramaiah University of Applied Sciences. Methods and Materials: The current study constituted a total of 40 lymph nodes from OSCC patients, metastatic (n=20) and non-metastatic lymph nodes (n=20). All sections were stained with H & E followed by modified PAP stain. Modified PAP was used for identification of micrometastasis deposits. Statistical Analysis Used: The Chi square test was employed to analyze significance. Results: Modified PAP stain proved to be more accurate (p = 0.006) than H and E stain in detecting micrometastasis which accounted for 15% of non-metastatic lymph node sections used in our study. Conclusion: Special stain like modified PAP stain is valuable and sensitive in detecting micro-metastasis over H and E stain. Detection of micrometastasis in OSCC patients is advantageous for the patient as it influences staging, it modifies the treatment plan in terms of both radiotherapy and chemotherapy. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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