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1. Single-cell RNA and T-cell receptor sequencing unveil mycosis fungoides heterogeneity and a possible gene signature

2. Clinical and genetic characteristics of BAP1-mutated non-uveal and uveal melanoma

3. Prognostic factors in the primary care of patients with Merkel cell carcinoma: A monocentric cohort study of 108 patients from a tertiary referral centre

4. Correlation of tumor PD-L1 expression in different tissue types and outcome of PD-1-based immunotherapy in metastatic melanoma – analysis of the DeCOG prospective multicenter cohort study ADOREG/TRIMResearch in context

5. Glucocorticoid activation by HSD11B1 limits T cell-driven interferon signaling and response to PD-1 blockade in melanoma

6. Circulating cell‐free messenger RNA enables non‐invasive pan‐tumour monitoring of melanoma therapy independent of the mutational genotype

8. Tumor microenvironment-derived S100A8/A9 is a novel prognostic biomarker for advanced melanoma patients and during immunotherapy with anti-PD-1 antibodies

9. Grade 4 Neutropenia Secondary to Immune Checkpoint Inhibition — A Descriptive Observational Retrospective Multicenter Analysis

10. Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma

11. GNA14, GNA11, and GNAQ Mutations Are Frequent in Benign but Not Malignant Cutaneous Vascular Tumors

12. Serum CD73 is a prognostic factor in patients with metastatic melanoma and is associated with response to anti-PD-1 therapy

13. Macrophages/Microglia Represent the Major Source of Indolamine 2,3-Dioxygenase Expression in Melanoma Metastases of the Brain

14. Acquired IFNγ resistance impairs anti-tumor immunity and gives rise to T-cell-resistant melanoma lesions

15. Evolution of melanoma cross-resistance to CD8+ T cells and MAPK inhibition in the course of BRAFi treatment

16. TERT promoter mutations are frequent in cutaneous basal cell carcinoma and squamous cell carcinoma.

17. Influence of genetic variants in type I interferon genes on melanoma survival and therapy.

18. Association of inherited variation in Toll-like receptor genes with malignant melanoma susceptibility and survival.

19. B-RAF and N-RAS mutations are preserved during short time in vitro propagation and differentially impact prognosis.

20. Genetic and methylation profiles distinguish benign, malignant and spitzoid melanocytic tumors

21. HLA class II loss and JAK1/2 deficiency coevolve in melanoma leading to CD4 T cell and IFNγ cross-resistance

22. Supplementary Table S4 from The Genetic Landscape of Clinical Resistance to RAF Inhibition in Metastatic Melanoma

23. Supplementary Table Legends from The Genetic Landscape of Clinical Resistance to RAF Inhibition in Metastatic Melanoma

24. Supplementary Figure 3 from Baseline Peripheral Blood Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab

25. Supplementary Tables from Melanoma Lesions Independently Acquire T-cell Resistance during Metastatic Latency

26. Data from Genetic Evolution of T-cell Resistance in the Course of Melanoma Progression

27. Data from Myeloid-Derived Suppressor Cells Predict Survival of Patients with Advanced Melanoma: Comparison with Regulatory T Cells and NY-ESO-1- or Melan-A–Specific T Cells

28. Supplementary Figure 4 from Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab

29. Supplementary Fig. S4 from Genetic Evolution of T-cell Resistance in the Course of Melanoma Progression

30. Supplementary Figures from Role of Tumor-Infiltrating B Cells in Clinical Outcome of Patients with Melanoma Treated With Dabrafenib Plus Trametinib

32. Supplemental Figure 2 from Integrated Genomic Classification of Melanocytic Tumors of the Central Nervous System Using Mutation Analysis, Copy Number Alterations, and DNA Methylation Profiling

33. Supplementary Figure 3 from Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab

34. Supplementary Figure Legend from Conjunctival Melanomas Harbor BRAF and NRAS Mutations and Copy Number Changes Similar to Cutaneous and Mucosal Melanomas

35. Supplementary Table 2 from Circulating CD4+ T Cells That Produce IL4 or IL17 When Stimulated by Melan-A but Not by NY-ESO-1 Have Negative Impacts on Survival of Patients with Stage IV Melanoma

36. Supplementary Table 3 from Baseline Peripheral Blood Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab

37. Supplementary Figure 2 from Myeloid-Derived Suppressor Cells Predict Survival of Patients with Advanced Melanoma: Comparison with Regulatory T Cells and NY-ESO-1- or Melan-A–Specific T Cells

38. Supplementary Figure 2 from Conjunctival Melanomas Harbor BRAF and NRAS Mutations and Copy Number Changes Similar to Cutaneous and Mucosal Melanomas

39. Figure S1 from Predominance of Central Memory T Cells with High T-Cell Receptor Repertoire Diversity is Associated with Response to PD-1/PD-L1 Inhibition in Merkel Cell Carcinoma

40. Supplementary Figure 2 from Baseline Peripheral Blood Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab

41. Supplementary Figure 2 from Circulating CD4+ T Cells That Produce IL4 or IL17 When Stimulated by Melan-A but Not by NY-ESO-1 Have Negative Impacts on Survival of Patients with Stage IV Melanoma

42. Supplemental Figure 1 from Integrated Genomic Classification of Melanocytic Tumors of the Central Nervous System Using Mutation Analysis, Copy Number Alterations, and DNA Methylation Profiling

43. Supplementary Figure 1 from Circulating CD4+ T Cells That Produce IL4 or IL17 When Stimulated by Melan-A but Not by NY-ESO-1 Have Negative Impacts on Survival of Patients with Stage IV Melanoma

44. Supplementary Table 2 from Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab

45. Data from Role of Tumor-Infiltrating B Cells in Clinical Outcome of Patients with Melanoma Treated With Dabrafenib Plus Trametinib

46. Data from Myeloid Cells and Related Chronic Inflammatory Factors as Novel Predictive Markers in Melanoma Treatment with Ipilimumab

47. Supplementary Figure 1 from Myeloid-Derived Suppressor Cells Predict Survival of Patients with Advanced Melanoma: Comparison with Regulatory T Cells and NY-ESO-1- or Melan-A–Specific T Cells

48. Supplementary Table 3 from Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab

50. Supplementary Figure 1 from Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab

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