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1. Distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer

2. RNA-Seq based gene expression profiling of baseline and on-treatment breast tumors to predict response to HER2-directed therapy, without chemotherapy (TBCRC026).

4. Adaptive immune signature in HER2-positive breast cancer in NCCTG (Alliance) N9831 and NeoALTTO trials

5. Rejuvenation of the aged brain immune cell landscape in mice through p16-positive senescent cell clearance

6. Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

7. Evidence of cerebellar TDP-43 loss of function in FTLD-TDP

8. Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer

9. Image-based multiplex immune profiling of cancer tissues:translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer

10. Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer

11. Truncated stathmin-2 is a marker of TDP-43 pathology in frontotemporal dementia

13. Discrete class I molecules on brain endothelium differentially regulate neuropathology in experimental cerebral malaria.

14. Table S2 from Characteristics and Spatially Defined Immune (micro)landscapes of Early-stage PD-L1–positive Triple-negative Breast Cancer

15. Discrete class I molecules on brain endothelium differentially regulate neuropathology in experimental cerebral malaria

16. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer

17. Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: a report of the international immuno‐oncology biomarker working group

20. Elevated methylation levels, reduced expression levels, and frequent contractions in a clinical cohort of C9orf72 expansion carriers

22. Abstract 1000: Associations of parity and body mass index with NanoString digital spatial protein profiling in early onset breast cancer

26. Supplemental Table 2 from Effects of Age and Immune Landscape on Outcome in HER2-Positive Breast Cancer in the NCCTG N9831 (Alliance) and NSABP B-31 (NRG) Trials

29. Supplemental Figure 1 from Effects of Age and Immune Landscape on Outcome in HER2-Positive Breast Cancer in the NCCTG N9831 (Alliance) and NSABP B-31 (NRG) Trials

31. Supplemental Table 3 from Effects of Age and Immune Landscape on Outcome in HER2-Positive Breast Cancer in the NCCTG N9831 (Alliance) and NSABP B-31 (NRG) Trials

32. Supplemental Table 1 from Effects of Age and Immune Landscape on Outcome in HER2-Positive Breast Cancer in the NCCTG N9831 (Alliance) and NSABP B-31 (NRG) Trials

33. Data from Detection of Redundant Fusion Transcripts as Biomarkers or Disease-Specific Therapeutic Targets in Breast Cancer

35. Supplementary Table 1 from Detection of Redundant Fusion Transcripts as Biomarkers or Disease-Specific Therapeutic Targets in Breast Cancer

36. Supplementary Figure 1 from Detection of Redundant Fusion Transcripts as Biomarkers or Disease-Specific Therapeutic Targets in Breast Cancer

38. Supplementary Table 4 from Detection of Redundant Fusion Transcripts as Biomarkers or Disease-Specific Therapeutic Targets in Breast Cancer

39. Supplementary Table 3 from Detection of Redundant Fusion Transcripts as Biomarkers or Disease-Specific Therapeutic Targets in Breast Cancer

40. Supplementary Table 2 from Detection of Redundant Fusion Transcripts as Biomarkers or Disease-Specific Therapeutic Targets in Breast Cancer

42. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer:A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer

43. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer

44. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer

45. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer:a report of the international immuno-oncology biomarker working group

46. Investigation of differentially expressed proteins through neurofibrillary tangle maturation in Alzheimer’s disease using NanoString’s GeoMx Digital Spatial Profiler

47. Cancer and Vascular Comorbidity Effects on Dementia Risk and Neuropathology in the Oldest-Old

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