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300 Pasteur DrStanford, CA 94305
Phone+1 650-723-4000
Fax+1 650-498-5840
Dr. Sledge is on Doximity
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Education & Training
University of Texas Health Science Center San Antonio Joe and Teresa Lozano Long School of MedicineFellowship, Hematology and Medical Oncology, 1981 - 1983
SSM Health/Saint Louis University School of MedicineResidency, Internal Medicine, 1977 - 1980
Tulane University School of MedicineClass of 1977
Certifications & Licensure
CA State Medical License 2013 - 2028
IN State Medical License 1983 - 2013
LA State Medical License 1977 - 1983
American Board of Internal Medicine Internal Medicine
American Board of Internal Medicine Medical Oncology
Awards, Honors, & Recognition
- CMS Meaningful Use Stage 1 Certification EpicCare Ambulatory - Core EMR, Epic Systems Corporation, 2014-2017
- CMS Meaningful Use Stage 2 Certification EpicCare Ambulatory 2014 Certified EHR Suite, Epic Systems Corporation, 2014-2017
- CMS Meaningful Use Stage 1 Certification EpicCare Ambulatory 2014 Certified EHR Suite, Epic Systems Corporation, 2014-2017
Clinical Trials
- Chemotherapy Plus Monoclonal Antibody Therapy in Treating Women With Stage II or Stage IIIA Breast Cancer That Overexpresses HER2
- Exemestane or Anastrozole in Treating Postmenopausal Women Who Have Undergone Surgery for Primary Breast Cancer Start of enrollment: 2003 Jun 06
- A Correlative Study for Predicting Response and Toxicity in Patients Receiving Chemotherapy for Breast Cancer
Publications & Presentations
PubMed
- 1 citationsDevelopment of indole derived non-orthosteric inhibitors for Proto-oncogene serine/threonine-protein kinase PIM-1.Benedikt W Grau, Dhanir Tailor, Mallesh Pandrala, Katherine J Schultz, En-Chi Hsu
European Journal of Medicinal Chemistry. 2026-10-15 - Differential impact of tumor-derived ESR1 mutations on elacestrant benefit in metastatic breast cancer.George W Sledge, Joanne Xiu, Suzanne Fuqua, Jennifer R Ribeiro, Heather McArthur
Clinical Cancer Research. 2026-10-13 - 1 citationsDevelopment and Validation of a Multimodal-Multitask Deep Learning Approach for Estimating Late Distant Recurrence Risk in HR-Positive Early Breast Cancer.Eleftherios P Mamounas, Ming Chen, Joseph A Sparano, Md Ashequr Rahman, Yating Cheng
Cancer Research Communications. 2026-07-01
Press Mentions
New Cancer Drugs Are Revolutionary. Why Don’t More Patients Get Them?September 30th, 2026
New AI Model Outperforms Oncotype DX for Predicting Recurrence Risk in Breast CancerSeptember 24th, 2026
Tailoring Treatment: Real-World Evidence Guides ADC Sequencing in Breast CancerSeptember 18th, 2025
Professional Memberships
- Member
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