A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma
Muhammad Shaban, Shan E Ahmed Raza, Mariam Hassan, Arif Jamshed, Sajid, Mushtaq, Asif Loya, Nikolaos Batis, Jill Brooks, Paul Nankivell, Neil Sharma,, Max Robinson, Hisham Mehanna, Syed Ali Khurram, Nasir Rajpoot

TL;DR
This study introduces an AI-driven automated method to quantify tumour-associated stroma infiltrating lymphocytes (TASILs) in head and neck squamous cell carcinoma, demonstrating its prognostic value for patient survival.
Contribution
It is the first to automate TASIL quantification from routine H&E slides, providing an objective, reproducible, and prognostically significant score for clinical use.
Findings
TASIL-score predicts disease-specific survival (p=0.002).
TASIL-score outperforms manual TIL scoring in risk stratification.
TASIL-score correlates positively with molecular CD8+ T cell estimates.
Abstract
The infiltration of T-lymphocytes in the stroma and tumour is an indication of an effective immune response against the tumour, resulting in better survival. In this study, our aim is to explore the prognostic significance of tumour-associated stroma infiltrating lymphocytes (TASILs) in head and neck squamous cell carcinoma (HNSCC) through an AI based automated method. A deep learning based automated method was employed to segment tumour, stroma and lymphocytes in digitally scanned whole slide images of HNSCC tissue slides. The spatial patterns of lymphocytes and tumour-associated stroma were digitally quantified to compute the TASIL-score. Finally, prognostic significance of the TASIL-score for disease-specific and disease-free survival was investigated with the Cox proportional hazard analysis. Three different cohorts of Haematoxylin & Eosin (H&E) stained tissue slides of HNSCC cases…
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