Abstract
Background: Only a subset of gastric cancer (GC) patients with stage II–III benefits from chemotherapy after surgery. Tumour infiltrating lymphocytes per area (TIL density) has been suggested as a potential predictive biomarker of chemotherapy benefit. Methods: We quantified TIL density in digital images of haematoxylin-eosin (HE) stained tissue using deep learning in 307 GC patients of the Yonsei Cancer Center (YCC) (193 surgery+adjuvant chemotherapy [S + C], 114 surgery alone [S]) and 629 CLASSIC trial GC patients (325 S + C and 304 S). The relationship between TIL density, disease-free survival (DFS) and clinicopathological variables was analysed. Results: YCC S patients and CLASSIC S patients with high TIL density had longer DFS than S patients with low TIL density (P = 0.007 and P = 0.013, respectively). Furthermore, CLASSIC patients with low TIL density had longer DFS if treated with S + C compared to S (P = 0.003). No significant relationship of TIL density with other clinicopathological variables was found. Conclusion: This is the first study to suggest TIL density automatically quantified in routine HE stained tissue sections as a novel, clinically useful biomarker to identify stage II–III GC patients deriving benefit from adjuvant chemotherapy. Validation of our results in a prospective study is warranted.
Original language | English |
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Pages (from-to) | 2318-2325 |
Number of pages | 8 |
Journal | British Journal of Cancer |
Volume | 128 |
Issue number | 12 |
DOIs | |
Publication status | Published - 29 Jun 2023 |
Bibliographical note
Funding Information:DRM and HIG are supported in part by the National Institute for Health and Care Research (NIHR) Leeds Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. J-HC is supported in part by a grant funded by the Ministry of Health & Welfare, Republic of Korea (grant number National Cancer Center HA22C005000).
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature Limited.