Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence.

Makhlouf, Shorouk; Wahab, Noorul; Toss, Michael; Ibrahim, Asmaa; Lashen, Ayat G; Atallah, Nehal M; Ghannam, Suzan; Jahanifar, Mostafa; Lu, Wenqi; Graham, Simon; Mongan, Nigel P; Bilal, Mohsin; Bhalerao, Abhir; Snead, David; Minhas, Fayyaz; Raza, Shan E Ahmed; Rajpoot, Nasir; Rakha, Emad; Snead, David

Abstract

Background: Tumour infiltrating lymphocytes (TILs) are a prognostic parameter in triple-negative and human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC). However, their role in luminal (oestrogen receptor positive and HER2 negative (ER + /HER2-)) BC remains unclear. In this study, we used artificial intelligence (AI) to assess the prognostic significance of TILs in a large well-characterised cohort of luminal BC.

Citation

Shorouk Makhlouf # 1 2, Noorul Wahab # 3, Michael Toss 1 4, Asmaa Ibrahim 1 5, Ayat G Lashen 1 6, Nehal M Atallah 1 6, Suzan Ghannam 1 7, Mostafa Jahanifar 3, Wenqi Lu 3, Simon Graham 3, Nigel P Mongan 8 9, Mohsin Bilal 3, Abhir Bhalerao 3, David Snead 10, Fayyaz Minhas 3, Shan E Ahmed Raza 3, Nasir Rajpoot 11, Emad Rakha 12 13 14

Type

Article