Title |
Pathologic Complete Response Predicts Recurrence-Free Survival More Effectively by Cancer Subset: Results From the I-SPY 1 TRIAL—CALGB 150007/150012, ACRIN 6657
|
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Published in |
Journal of Clinical Oncology, May 2012
|
DOI | 10.1200/jco.2011.39.2779 |
Pubmed ID | |
Authors |
Laura J. Esserman, Donald A. Berry, Angela DeMichele, Lisa Carey, Sarah E. Davis, Meredith Buxton, Cliff Hudis, Joe W. Gray, Charles Perou, Christina Yau, Chad Livasy, Helen Krontiras, Leslie Montgomery, Debasish Tripathy, Constance Lehman, Minetta C. Liu, Olufunmilayo I. Olopade, Hope S. Rugo, John T. Carpenter, Lynn Dressler, David Chhieng, Baljit Singh, Carolyn Mies, Joseph Rabban, Yunn-Yi Chen, Dilip Giri, Laura van 't Veer, Nola Hylton |
Abstract |
Neoadjuvant chemotherapy for breast cancer provides critical information about tumor response; how best to leverage this for predicting recurrence-free survival (RFS) is not established. The I-SPY 1 TRIAL (Investigation of Serial Studies to Predict Your Therapeutic Response With Imaging and Molecular Analysis) was a multicenter breast cancer study integrating clinical, imaging, and genomic data to evaluate pathologic response, RFS, and their relationship and predictability based on tumor biomarkers. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 80% |
Brazil | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 1% |
Brazil | 2 | <1% |
Spain | 2 | <1% |
Japan | 2 | <1% |
China | 1 | <1% |
Colombia | 1 | <1% |
Sudan | 1 | <1% |
Portugal | 1 | <1% |
Unknown | 238 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 42 | 17% |
Student > Ph. D. Student | 37 | 15% |
Other | 30 | 12% |
Student > Master | 19 | 8% |
Student > Bachelor | 18 | 7% |
Other | 48 | 19% |
Unknown | 57 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 107 | 43% |
Agricultural and Biological Sciences | 28 | 11% |
Biochemistry, Genetics and Molecular Biology | 21 | 8% |
Engineering | 8 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 2% |
Other | 14 | 6% |
Unknown | 68 | 27% |