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CrossRef Text and Data Mining |
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Nomograms Predicting Platinum Sensitivity, Progression-Free Survival, and Overall Survival Using Pretreatment Complete Blood Cell Counts in Epithelial Ovarian Cancer |
E Sun Paik, Insuk Sohn, Sun-Young Baek, Minhee Shim, Hyun Jin Choi, Tae-Joong Kim, Chel Hun Choi, Jeong-Won Lee, Byoung-Gie Kim, Yoo-Young Lee, Duk-Soo Bae |
Cancer Research and Treatment. 2017;49(3):635-642. Published online 2016 September 27 DOI: https://doi.org/10.4143/crt.2016.282 |
Nomograms Predicting Platinum Sensitivity, Progression-Free Survival, and Overall Survival Using Pretreatment Complete Blood Cell Counts in Epithelial Ovarian Cancer Development and Validation of Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Patients with Ovarian Clear Cell Carcinoma Development and Validation of Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Patients with Ovarian Clear Cell Carcinoma Development and validation of Nomograms for predicting overall survival and Cancer-specific survival in patients with ovarian clear cell carcinoma The role of single nucleotide polymorphisms of the ERCC1 and MMS19 genes in predicting platinum-sensitivity, progression-free and overall survival in advanced epithelial ovarian cancer The Nomograms for Predicting Cancer-specific Survival in Patients With Ovarian Cancer After Surgery Nomograms Predicting Overall Survival and Cancer Special Survival for Cervical Cancer in stage IIIC1 Nomogram for predicting overall and cancer-specific survival in elderly patients (≥65 years) with epithelial ovarian cancer Nomograms for Predicting Overall Survival and Cancer-Specific Survival of Young Patients with Epithelial Ovarian Cancer: Analysis Based on SEER Program Predicting Overall Survival and Progression-Free Survival Using Tumor Dynamics in Advanced Breast Cancer Patients |
This metadata service is kindly provided by CrossRef from May 29, 2014. Cancer Res Treat has participated in CrossRef Text and Data Mining service since October 29, 2014. |