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1. Data from Prognostic and Predictive Values of the Immunoscore in Patients with Rectal Cancer

2. Supplementary Figure 1 from Prognostic and Predictive Values of the Immunoscore in Patients with Rectal Cancer

3. Supplementary Tables 1 - 5 from Prognostic and Predictive Values of the Immunoscore in Patients with Rectal Cancer

4. Data from A Diagnostic Biopsy-Adapted Immunoscore Predicts Response to Neoadjuvant Treatment and Selects Patients with Rectal Cancer Eligible for a Watch-and-Wait Strategy

5. Supplementary Figures from A Diagnostic Biopsy-Adapted Immunoscore Predicts Response to Neoadjuvant Treatment and Selects Patients with Rectal Cancer Eligible for a Watch-and-Wait Strategy

6. Supplementary Tables from A Diagnostic Biopsy-Adapted Immunoscore Predicts Response to Neoadjuvant Treatment and Selects Patients with Rectal Cancer Eligible for a Watch-and-Wait Strategy

7. Data from Coordination of Intratumoral Immune Reaction and Human Colorectal Cancer Recurrence

8. Supplementary Methods, Figures 4-6 from Coordination of Intratumoral Immune Reaction and Human Colorectal Cancer Recurrence

9. Supplementary Table 1 from Coordination of Intratumoral Immune Reaction and Human Colorectal Cancer Recurrence

10. Supplementary Table 3 from Coordination of Intratumoral Immune Reaction and Human Colorectal Cancer Recurrence

11. Data from Clinical Impact of Different Classes of Infiltrating T Cytotoxic and Helper Cells (Th1, Th2, Treg, Th17) in Patients with Colorectal Cancer

12. Supplementary Table 2 from Coordination of Intratumoral Immune Reaction and Human Colorectal Cancer Recurrence

13. Supplementary Figures 1-5, Tables 1-5 from Clinical Impact of Different Classes of Infiltrating T Cytotoxic and Helper Cells (Th1, Th2, Treg, Th17) in Patients with Colorectal Cancer

14. Immune Signature Linked to COVID-19 Severity: A SARS-Score for Personalized Medicine

15. International validation of the Immunoscore-biopsy (ISB) to guide selection and monitoring of patients treated with watch-and-wait (WW) strategy for rectal cancer

16. Impact of PD-L1 Scores and Changes on Clinical Outcome in Rectal Cancer Patients Undergoing Neoadjuvant Chemoradiotherapy

17. A Diagnostic Biopsy-Adapted Immunoscore Predicts Response to Neoadjuvant Treatment and Selects Patients with Rectal Cancer Eligible for a Watch-and-Wait Strategy

18. Mise au point sur l’Immunoscore et ses potentielles implications cliniques

19. Biomarqueurs prédictifs de réponse aux traitements bloquant les voies de costimulation inhibitrices

20. Integrative Analyses of Colorectal Cancer Show Immunoscore Is a Stronger Predictor of Patient Survival Than Microsatellite Instability

21. Corrigendum to ‘Prognostic and predictive value of the Immunoscore in stage III colon cancer patients treated with oxaliplatin in the prospective IDEA France PRODIGE-GERCOR cohort study’

22. International validation of the consensus Immunoscore for the classification of colon cancer: a prognostic and accuracy study

23. Blimp-1 overexpression is associated with low HIV-1 reservoir and transcription levels in central memory CD4+ T cells from elite controllers

24. The consensus Immunoscore adapted to biopsies in patients with locally advanced rectal cancer: Potential clinical significance for a 'Watch and Wait' strategy

25. The Immunoscore in the Clinical Practice of Patients with Colon and Rectal Cancers

26. Spatiotemporal Dynamics of Intratumoral Immune Cells Reveal the Immune Landscape in Human Cancer

27. The tumor microenvironment and Immunoscore are critical determinants of dissemination to distant metastasis

28. Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome

29. Effector Memory T Cells, Early Metastasis, and Survival in Colorectal Cancer

30. Association of T-cell infiltration assessed in pretherapeutic biopsies (PTB) of patients with locally advanced rectal adenocarcinoma (LARC) with tumor response and relapse after chemoradiotherapy (CRT) and rectal surgery

31. Prognostic and predictive values of the immunoscore in patients with rectal cancer

32. Biomolecular network reconstruction identifies T-cell homing factors associated with survival in colorectal cancer

33. Coordination of intratumoral immune reaction and human colorectal cancer recurrence

34. ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks

35. Intratumoral immune reaction: A novel paradigm for cancer

36. Immune contexture and cancer prognosis (88.28)

37. Implications immunologiques potentielles du curage ganglionnaire : Exemple du cancer colorectal

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