Search

Your search keyword '"Symmans, W. Fraser"' showing total 243 results

Search Constraints

Start Over You searched for: Author "Symmans, W. Fraser" Remove constraint Author: "Symmans, W. Fraser" Publication Year Range Last 3 years Remove constraint Publication Year Range: Last 3 years
243 results on '"Symmans, W. Fraser"'

Search Results

1. Protein signaling and drug target activation signatures to guide therapy prioritization: Therapeutic resistance and sensitivity in the I-SPY 2 Trial

2. Clinical significance and biology of circulating tumor DNA in high-risk early-stage HER2-negative breast cancer receiving neoadjuvant chemotherapy

3. HER-2 low status in early-stage invasive lobular carcinoma of the breast: associated factors and outcomes in an institutional series

4. Safety and efficacy of HSP90 inhibitor ganetespib for neoadjuvant treatment of stage II/III breast cancer.

5. Predictors of success in establishing orthotopic patient-derived xenograft models of triple negative breast cancer

7. Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies

8. Phase 2 study of neoadjuvant enzalutamide and paclitaxel for luminal androgen receptor-enriched TNBC: Trial results and insights into “ARness”

9. A phase II study of neoadjuvant atezolizumab and nab-paclitaxel in patients with anthracycline-resistant early-stage triple-negative breast cancer

10. Targeting chemotherapy resistance in mesenchymal triple-negative breast cancer: a phase II trial of neoadjuvant angiogenic and mTOR inhibition with chemotherapy

11. Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients.

12. Standardizing Pathologic Evaluation of Breast Carcinoma After Neoadjuvant Chemotherapy: Recommendations From the I-SPY Pathology Working Group

13. Neoadjuvant T-DM1/pertuzumab and paclitaxel/trastuzumab/pertuzumab for HER2+ breast cancer in the adaptively randomized I-SPY2 trial.

14. Multiomics in primary and metastatic breast tumors from the AURORA US network finds microenvironment and epigenetic drivers of metastasis

15. Analysis of the sensitivity to endocrine therapy (SET) assay in the PALLAS adjuvant trial of palbociclib in HR+/HER2- breast cancer (ABCSG-42/AFT-05/BIG-14-13).

16. Impact of extent of disease at presentation on oncologic outcomes according to pathologic response to neoadjuvant systemic therapy among participants of the I-SPY2 clinical trial.

17. Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients

19. Targeting neddylation and sumoylation in chemoresistant triple negative breast cancer

20. Cell-free DNA Concentration as a Biomarker of Response and Recurrence in HER2-Negative Breast Cancer Receiving Neoadjuvant Chemotherapy

21. A dedicated structured data set for reporting of invasive carcinoma of the breast in the setting of neoadjuvant therapy: recommendations from the International Collaboration on Cancer Reporting (ICCR)

22. Supplementary Table S3 from Neoadjuvant Trebananib plus Paclitaxel-based Chemotherapy for Stage II/III Breast Cancer in the Adaptively Randomized I-SPY2 Trial—Efficacy and Biomarker Discovery

23. Data from Neoadjuvant Trebananib plus Paclitaxel-based Chemotherapy for Stage II/III Breast Cancer in the Adaptively Randomized I-SPY2 Trial—Efficacy and Biomarker Discovery

24. Supplementary Figure S1 from Neoadjuvant Trebananib plus Paclitaxel-based Chemotherapy for Stage II/III Breast Cancer in the Adaptively Randomized I-SPY2 Trial—Efficacy and Biomarker Discovery

25. Supplementary Methods S1 from Neoadjuvant Trebananib plus Paclitaxel-based Chemotherapy for Stage II/III Breast Cancer in the Adaptively Randomized I-SPY2 Trial—Efficacy and Biomarker Discovery

26. Abstract A014: Cell-free DNA concentration as a biomarker of response and recurrence in HER-2 negative breast cancer receiving neoadjuvant chemotherapy

27. Abstract A066: Machine learning elucidates biology of response within and outside the mechanisms of action of therapeutic agents in the I-SPY2 breast cancer TRIAL

29. Matched cohort study of germline BRCA mutation carriers with triple negative breast cancer in brightness

30. Pre‐analytical effects on whole transcriptome and targeted RNA sequencing analysis in cytology: The effects of prolonged time in storage of effusion specimens prior to preservation

32. Quantifying hormone receptor status in lobular breast cancer in an institutional series: the relationship between estrogen and progesterone receptor status and outcomes

34. Correction to: Hormonal modulation of ESR1 mutant metastasis

35. Evaluation of the Sensitivity to Endocrine Therapy Index and 21-Gene Breast Recurrence Score in the SWOG S8814 Trial

36. Supplementary Tables 1-17, Figures 1-14, Methods from Gene Signature–Guided Dasatinib Therapy in Metastatic Breast Cancer

37. Supplemental R File 4-UK TMA from Cytoplasmic Cyclin E Predicts Recurrence in Patients with Breast Cancer

38. Supplementary Tabes 1, 3 and 4 from Cytoplasmic Cyclin E Predicts Recurrence in Patients with Breast Cancer

39. CCR Translation on this Article from Molecular Characterization of Breast Cancer with High-Resolution Oligonucleotide Comparative Genomic Hybridization Array

40. Supplementary Table 1 from Relationship between Complete Pathologic Response to Neoadjuvant Chemotherapy and Survival in Triple-Negative Breast Cancer

41. Supplemental Figure Legends from Cytoplasmic Cyclin E Predicts Recurrence in Patients with Breast Cancer

42. Supplemental Figures 1-3 from Cytoplasmic Cyclin E Predicts Recurrence in Patients with Breast Cancer

44. Data from Evaluation of a 30-Gene Paclitaxel, Fluorouracil, Doxorubicin, and Cyclophosphamide Chemotherapy Response Predictor in a Multicenter Randomized Trial in Breast Cancer

46. Supplemental Table 2 from Cytoplasmic Cyclin E Predicts Recurrence in Patients with Breast Cancer

47. Supplemental R File 3-NCI TMA from Cytoplasmic Cyclin E Predicts Recurrence in Patients with Breast Cancer

48. Supplemental R File 1-Lab222 from Cytoplasmic Cyclin E Predicts Recurrence in Patients with Breast Cancer

49. Information of Microarray Data from Differential Response to Neoadjuvant Chemotherapy Among 7 Triple-Negative Breast Cancer Molecular Subtypes

Catalog

Books, media, physical & digital resources