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Importance of histological Tumor Response Grading (TRG) in predicting the outcome in buccal mucosa cancer patients treated with Neo-Adjuvant Chemotherapy (NACT) followed by surgery
2nd International Conference and Exhibition on Rhinology and Otology
Suhail I Sayed, Asawari Patil, Shubhada Kane, Kumar Prabhash and Anil D?cruz
Objectives: Neo-adjuvant (NACT) is being increasingly used in the management of locally advanced oral cavity cancers. The
purpose of the study was to characterize histological tumor response to NACT of locally advanced borderline resectable buccal
mucosa squamous cell carcinoma (BM-SCC) and determinewhether tumor response grading (TRG) predicts clinical outcome.
Methods: TRG was evaluated on 66 surgical resection specimens obtained from buccal mucosa carcinoma patients who received
NACT. Tumor response to NACT was determined using a system encompassing five tumor regression grades based on the
estimation of the percentage of residual viable tumor in relation to the macroscopically identifiable previous tumor bed (TRG1
i.e. no residual tumour; TRG2: 1-5%; TRG3: 6-50%; TRG4: 51-95%; and TRG5: >96% residual tumor). The significance of this
system was validated by correlation of the tumor regression grades with the corresponding clinicopathological characteristics
and patient survival.
Results: Five patients (TRG1: 7%) demonstrated a complete tumor regression after NACT, but in 61(93%) of the specimens
a partial tumor regression was observed (TRG2: 15%; TRG3: 15%; TRG4: 57%; and TRG5: 5%).Tumor regression was
significantly associated with tumor grade (p<0.001), skin involvement (p=0.017), and pT stage (p<0.001). Survival analysis
showed a significant prognostic relevance of the applied regression system in multivariate analyses as a single independent
prognostic factor for 5 year disease free survival (p=0.028; 95% confidence interval 0.014-0.997) and 5 year overall survival
(p=0.041; 95% confidence interval 0.035-1.141).
Conclusion: The effect of NACT in BM-SCC can be assessed by the determination of histological tumor regression, providing
valuable prognostic information.
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