42 results on '"Drescher, Charles W."'
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2. False-Positive Screening Events and Worry Influence Decisions About Surgery Among High-Risk Women
3. Early Detection of Ovarian Cancer using the Risk of Ovarian Cancer Algorithm with Frequent CA125 Testing in Women at Increased Familial Risk – Combined Results from Two Screening Trials
4. Quantitative global lipidomics analysis of patients with ovarian cancer versus benign adnexal mass
5. Identifying post-menopausal women at elevated risk for epithelial ovarian cancer
6. Use of CA125 and HE4 Serum Markers to Predict Ovarian Cancer in Elevated-Risk Women
7. Control of Tumor Initiation by NKG2D Naturally Expressed on Ovarian Cancer Cells
8. 28 Factors impacting genomic testing rates among epithelial ovarian cancer patients across a large community-based healthcare system
9. 54 Patterns of genomic testing for epithelial ovarian cancer across a large community-based health care network – a real world experience
10. Circulating microRNAs as Stable Blood-Based Markers for Cancer Detection
11. Making Decisions about Screening for Ovarian Cancer
12. Biomarkers and Strategies for Early Detection of Ovarian Cancer
13. An integrative genomic approach identifies p73 and p63 as activators of miR-200 microRNA family transcription
14. Potential Role of HE4 in Multimodal Screening for Epithelial Ovarian Cancer
15. Prophylactic In Vivo Hematopoietic Stem Cell Gene Therapy with an Immune Checkpoint Inhibitor Reverses Tumor Growth in Syngeneic Mouse Tumor Models
16. 53 Frequency of homologous recombination deficiency in a large community-based cohort of epithelial ovarian cancer cases
17. Making decisions about screening for ovarian cancer : Authorsʼ response
18. Effects of Systematic Referral to Genetic Counseling in High-Risk Women With and Without a College Degree
19. Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer
20. Abstract IA20: Biomarkers for risk prediction, screening, and early diagnostics.
21. Targeted single molecule mutation detection with massively parallel sequencing
22. Ultrasound Molecular Imaging in a Human CD276 Expression–Modulated Murine Ovarian Cancer Model
23. Targeting Cell Surface Proteins in Molecular Photoacoustic Imaging to Detect Ovarian Cancer Early
24. Targeting Cell Surface Proteins in Molecular Photoacoustic Imaging to Detect Ovarian Cancer Early
25. Targeted single molecule mutation detection with massively parallel sequencing.
26. Interpretation of Single and Serial Measures of HE4 and CA125 in Asymptomatic Women at High Risk for Ovarian Cancer
27. Impact of Screening Test Performance and Cost on Mortality Reduction and Cost-effectiveness of Multimodal Ovarian Cancer Screening
28. ESRRA-C11orf20 Is a Recurrent Gene Fusion in Serous Ovarian Carcinoma
29. An integrative genomic approach identifies p73 and p63 as activators of miR-200 microRNA family transcription
30. Large Prospective Study of Ovarian Cancer Screening in High-Risk Women: CA125 Cut-Point Defined by Menopausal Status
31. DNA Methylation Profiles of Ovarian Epithelial Carcinoma Tumors and Cell Lines
32. Quantitative Proteomics Analysis Integrated with Microarray Data Reveals That Extracellular Matrix Proteins, Catenins, and P53 Binding Protein 1 Are Important for Chemotherapy Response in Ovarian Cancers
33. Influence of Ovarian Cancer Risk Status on the Diagnostic Performance of the Serum Biomarkers Mesothelin, HE4, and CA125
34. Repertoire of microRNAs in Epithelial Ovarian Cancer as Determined by Next Generation Sequencing of Small RNA cDNA Libraries
35. Effects of Personal Characteristics on Serum CA125, Mesothelin, and HE4 Levels in Healthy Postmenopausal Women at High-Risk for Ovarian Cancer
36. Systematic Evaluation of Candidate Blood Markers for Detecting Ovarian Cancer
37. Proteomic Analysis of Ovarian Cancer Cells Reveals Dynamic Processes of Protein Secretion and Shedding of Extra-Cellular Domains
38. Bead-Based ELISA for Validation of Ovarian Cancer Early Detection Markers
39. Proteins Associated with Cisplatin Resistance in Ovarian Cancer Cells Identified by Quantitative Proteomic Technology and Integrated with mRNA Expression Levels
40. Compliance of Average- and Intermediate-Risk Women to Semiannual Ovarian Cancer Screening
41. Control of Tumor Initiation by NKG2D Naturally Expressed on Ovarian Cancer Cells.
42. Quantitative proteomics analysis integrated with microarray data reveals that extracellular matrix proteins, catenins, and p53 binding protein 1 are important for chemotherapy response in ovarian cancers.
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