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1. Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment

2. Research-based PAM50 signature and long-term breast cancer survival

3. Spatially restricted drivers and transitional cell populations cooperate with the microenvironment in untreated and chemo-resistant pancreatic cancer

4. Supplementary Table S1 from Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models

5. FIGURE 5 from Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models

6. FIGURE 4 from Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models

7. Supplementary Figure S4 from Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models

8. FIGURE 6 from Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models

9. FIGURE 1 from Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models

10. FIGURE 2 from Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models

11. FIGURE 3 from Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models

12. Data from Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models

13. Evaluation of copanlisib in combination with eribulin in triple negative breast cancer patient-derived xenograft models

14. miRNAs and Long-term Breast Cancer Survival: Evidence from the WHEL Study

15. Author Correction: Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment

16. A randomized phase 2 study of neoadjuvant carboplatin and paclitaxel with or without atezolizumab in triple negative breast cancer (TNBC) - NCI 10013

17. Table S5 from Combining the Tyrosine Kinase Inhibitor Cabozantinib and the mTORC1/2 Inhibitor Sapanisertib Blocks ERK Pathway Activity and Suppresses Tumor Growth in Renal Cell Carcinoma

18. Supplementary Data 1 from Combining the Tyrosine Kinase Inhibitor Cabozantinib and the mTORC1/2 Inhibitor Sapanisertib Blocks ERK Pathway Activity and Suppresses Tumor Growth in Renal Cell Carcinoma

19. Supplementary Figures from Combining the Tyrosine Kinase Inhibitor Cabozantinib and the mTORC1/2 Inhibitor Sapanisertib Blocks ERK Pathway Activity and Suppresses Tumor Growth in Renal Cell Carcinoma

20. Differential chromatin accessibility and transcriptional dynamics define breast cancer subtypes and their lineages

21. Combining the Tyrosine Kinase Inhibitor Cabozantinib and the mTORC1/2 Inhibitor Sapanisertib Blocks ERK Pathway Activity and Suppresses Tumor Growth in Renal Cell Carcinoma

22. Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography–mass spectrometry

23. Abstract 5407: A pan-cancer PDX histology image repository with genomic and pathological annotations for deep learning analysis

24. Supplementary File 5 from Mass Spectrometry–Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

25. Supplementary File 1 from Mass Spectrometry–Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

26. Supplementary File 2 from Mass Spectrometry–Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

27. Extended Methods from Mass Spectrometry–Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

28. Supplementary File 3 from Mass Spectrometry–Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

29. Supplementary Figures from Mass Spectrometry–Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

30. Data from A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancer

31. Supplementary tables 1 and 2 from Mass Spectrometry–Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

32. Data from Mass Spectrometry–Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

33. Supplementary File 4 from Mass Spectrometry–Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers

34. Supplementary Data from A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancer

35. Data from PIK3CA and PIK3CB Inhibition Produce Synthetic Lethality when Combined with Estrogen Deprivation in Estrogen Receptor–Positive Breast Cancer

36. Using the CPTAC Assay Portal to Identify and Implement Highly Characterized Targeted Proteomics Assays

37. Correction: Corrigendum: Proteogenomic integration reveals therapeutic targets in breast cancer xenografts

39. Proteogenomic characterization of human colon and rectal cancer

40. Proteogenomics connects somatic mutations to signalling in breast cancer

41. Spatial drivers and pre-cancer populations collaborate with the microenvironment in untreated and chemo-resistant pancreatic cancer

42. Proteomic Resistance Biomarkers for PI3K Inhibitor in Triple Negative Breast Cancer Patient-Derived Xenograft Models

43. Integrated Proteomic and Glycoproteomic Characterization of Human High-Grade Serous Ovarian Carcinoma

44. The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution

45. Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma

47. Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidatesfor targeted treatment.

48. Estrogen Receptor Expression Is High but Is of Lower Intensity in Tubular Carcinoma Than in Well-Differentiated Invasive Ductal Carcinoma

49. Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma

50. Research-based PAM50 signature and long-term breast cancer survival

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