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11. Supplementary Data from Patient-Derived Organoids from Multiple Colorectal Cancer Liver Metastases Reveal Moderate Intra-patient Pharmacotranscriptomic Heterogeneity

12. Supplemental Materials, Figures S1-6, Tables S1-4 from Regulator of Chromosome Condensation 2 Identifies High-Risk Patients within Both Major Phenotypes of Colorectal Cancer

13. Supplementary Tables from Colorectal Cancer Consensus Molecular Subtypes Translated to Preclinical Models Uncover Potentially Targetable Cancer Cell Dependencies

14. Supplementary Text, Figures and Tables from Colorectal Cancer Consensus Molecular Subtypes Translated to Preclinical Models Uncover Potentially Targetable Cancer Cell Dependencies

20. E‐cadherin is a robust prognostic biomarker in colorectal cancer and low expression is associated with sensitivity to inhibitors of topoisomerase, aurora and HSP90 in preclinical models

21. Prognostic role of tumour-infiltrating lymphocytes and macrophages in relation to MSI, CDX2 and BRAF status: a population-based study of metastatic colorectal cancer patients

23. Additional file 2 of The expressed mutational landscape of microsatellite stable colorectal cancers

25. E-cadherin is a robust prognostic biomarker in colorectal cancer and low expression is associated with sensitivity to inhibitors of topoisomerase, aurora, and HSP90 in preclinical models.

27. Molecular correlates of sensitivity to PARP inhibition beyond homologous recombination deficiency in pre-clinical models of colorectal cancer point to wild-type TP53 activity

28. Abstract 1433: Role of the E3 ubiquitin ligase NEDD4 in the regulation of PTEN and MDM2 in colorectal cancer

29. Patient-Derived Organoids from Multiple Colorectal Cancer Liver Metastases Reveal Moderate Intra-patient Pharmacotranscriptomic Heterogeneity

30. Abstract A19: Modeling intrapatient pharmacotranscriptomic heterogeneity with organoids derived from colorectal cancer liver metastases

31. Digital image analysis of multiplex fluorescence IHC in colorectal cancer recognizes the prognostic value of CDX2 and its negative correlation with SOX2

34. Multispectral imaging for quantitative and compartment-specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients

36. Additional file 3: Figure S2. of Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies

37. Additional file 4: Figure S3. of Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies

38. Additional file 2: Figure S1. of Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies

40. Prognostic, predictive, and pharmacogenomic assessments of CDX 2 refine stratification of colorectal cancer

43. Colorectal Cancer Consensus Molecular Subtypes Translated to Preclinical Models Uncover Potentially Targetable Cancer Cell Dependencies

46. Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies

47. Drug sensitivity and resistance testing identifies PLK 1 inhibitors and gemcitabine as potent drugs for malignant peripheral nerve sheath tumors

49. Tumour-infiltrating CD8+ lymphocytes and colorectal cancer recurrence by tumour and nodal stage.

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