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18 results on '"Lindsay C Hewitt"'

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1. Hypothesis‐free deep survival learning applied to the tumour microenvironment in gastric cancer

2. Tumour infiltrating lymphocytes and survival after adjuvant chemotherapy in patients with gastric cancer: post-hoc analysis of the CLASSIC trial

3. Increasing frequency of gene copy number aberrations is associated with immunosuppression and predicts poor prognosis in gastric adenocarcinoma

4. Author response to: Increasing frequency of gene copy number aberrations is associated with immunosuppression and predicts poor prognosis in gastric adenocarcinoma

5. Computational Image Analysis of T-Cell Infiltrates in Resectable Gastric Cancer: Association with Survival and Molecular Subtypes

6. Mucin expression in gastric- and gastro-oesophageal signet-ring cell cancer

7. DNA epigenetic signature predictive of benefit from neoadjuvant chemotherapy in oesophageal adenocarcinoma

8. Spatial profiling of gastric cancer patient-matched primary and locoregional metastases reveals principles of tumour dissemination

9. Histological intratumoral heterogeneity in pretreatment esophageal cancer biopsies predicts survival benefit from neoadjuvant chemotherapy: results from the UK MRC OE02 trial

10. KRAS status is related to histological phenotype in gastric cancer: results from a large multicentre study

11. Prognostic value of pathological lymph node status and primary tumour regression grading following neoadjuvant chemotherapy - results from the MRC OE02 oesophageal cancer trial

12. Correction to: KRAS status is related to histological phenotype in gastric cancer: results from a large multicentre study

13. Comprehensive biomarker analyses identifies

14. Comprehensive biomarker analyses identifies HER2, EGFR, MET RNA expression and thymidylate synthase 5 ' UTR SNP as predictors of benefit from S-1 adjuvant chemotherapy in Japanese patients with stage II/III gastric cancer

15. Multispectral immunofluorescence and computational imaging analysis define the prognostic role of T-cell infiltrates in gastric cancer

16. Frequent Coamplification of Receptor Tyrosine Kinase and Downstream Signaling Genes in Japanese Primary Gastric Cancer and Conversion in Matched Lymph Node Metastasis

17. Technical Reproducibility of Single-Nucleotide and Size-Based DNA Biomarker Assessment Using DNA Extracted from Formalin-Fixed, Paraffin-Embedded Tissues

18. End-to-end learning to predict survival in patients with gastric cancer using convolutional neural networks

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