23 results on '"Lauridsen, Kristina Lystlund"'
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2. Proteomic Profiling Identifies Predictive Signatures for Progression Risk in Patients with Advanced-Stage Follicular Lymphoma.
3. IDO1 Protein Is Expressed in Diagnostic Biopsies from Both Follicular and Transformed Follicular Patients
4. IDO1 Protein Is Expressed in Diagnostic Biopsies from Both Follicular and Transformed Follicular Patients
5. High intratumoral expression of vimentin predicts histological transformation in patients with follicular lymphoma
6. Correlation between topoisomerase I and tyrosyl-DNA phosphodiesterase 1 activities in non-small cell lung cancer tissue
7. CD38 is a potential treatment target in lymphoma patients concurrently infected with human immunodeficiency virus
8. Tumor-Tissue Expression of the Hyaluronic Acid Receptor RHAMM Predicts Histological Transformation in Follicular Lymphoma Patients
9. Langerhans cell markers CD1a and CD207 are the most rapidly responding genes in lesional psoriatic skin following adalimumab treatment
10. Tumor-Tissue Expression of the Hyaluronic Acid Receptor RHAMM Predicts Histological Transformation in Follicular Lymphoma Patients
11. CD38 is a potential treatment target in lymphoma patients concurrently infected with human immunodeficiency virus
12. Proteomic Profiling Differentiates Lymphoma Patients with and without Concurrent Myeloproliferative Neoplasia
13. Intratumoral expression of CD38 in patients with post-transplant lymphoproliferative disorder
14. Proteomic profiling differentiates lymphoma patients with and without concurrent myeloproliferative neoplasia
15. Intratumoral expression of CD38 in patients with post-transplant lymphoproliferative disorder
16. Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
17. Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
18. Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
19. Glycolytic biomarkers predict transformation in patients with follicular lymphoma
20. PD-1 Expression in Pre-Treatment Follicular Lymphoma Predicts the Risk of Subsequent High-Grade Transformation.
21. Proteomics identifies apoptotic markers as predictors of histological transformation in patients with follicular lymphoma
22. Proteomic Profiling of Lymph Nodes Differentiates Classic Hodgkin Lymphoma With and Without Skeletal Involvement.
23. Characterization of the genomic landscape of HIV-associated lymphoma reveals heterogeneity across histological subtypes.
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