Abstract
BackgroundOnly 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.MethodsWe 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.ResultsYCC 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.ConclusionThis 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 |
Early online date | 1 Apr 2023 |
DOIs | |
Publication status | Published - 29 Jun 2023 |
Keywords
- PROGNOSTIC VALUE
- OPEN-LABEL
- S-1
- CAPECITABINE
- OXALIPLATIN
- OUTCOMES