4.6 Article

Development, verification, and comparison of a risk stratification model integrating residual cancer burden to predict individual prognosis in early-stage breast cancer treated with neoadjuvant therapy

Related references

Note: Only part of the references are listed.
Article Gastroenterology & Hepatology

Risk Stratification Based on Chronic Liver Failure Consortium Acute Decompensation Score in Patients With Child-Pugh B Cirrhosis and Acute Variceal Bleeding

Yong Lv et al.

Summary: This study demonstrates that risk stratification using CLIF-C ADs can identify a subgroup with high risk of death in patients with Child-Pugh B cirrhosis and AVB who may benefit from early TIPS. The nomogram incorporating components significantly improves prediction accuracy.

HEPATOLOGY (2021)

Article Oncology

Determination of breast cancer prognosis after neoadjuvant chemotherapy: comparison of Residual Cancer Burden (RCB) and Neo-Bioscore

Enora Laas et al.

Summary: The study compared the prognostic performance of Residual Cancer Burden (RCB) and Neo-Bioscore in different subtypes of breast cancer, finding that RCB had better prognostic performance in various subtypes. In the global population, both RCB and Neo-Bioscore were associated with disease-free and overall survival, but RCB had lower concordance index values.

BRITISH JOURNAL OF CANCER (2021)

Article Oncology

Comparison of Breast Cancer Staging Systems After Neoadjuvant Chemotherapy

Olga Kantor et al.

Summary: This study compared the performance of different staging systems in breast cancer patients after neoadjuvant chemotherapy and found that AJCC pathologic prognostic staging and RCB had better discrimination for disease-free survival and overall survival compared to the Neo-Bioscore. Results validate the ability of these staging systems to stratify survival outcomes in NAC patients, with best discrimination achieved using AJCC pathologic prognostic stage or RCB.

ANNALS OF SURGICAL ONCOLOGY (2021)

Editorial Material Medicine, General & Internal

Residual Disease after Neoadjuvant Therapy - Developing Drugs for High-Risk Early Breast Cancer

Tatiana M. Prowell et al.

NEW ENGLAND JOURNAL OF MEDICINE (2019)

Article Oncology

Breast cancer statistics, 2019

Carol E. DeSantis et al.

CA-A CANCER JOURNAL FOR CLINICIANS (2019)

Article Oncology

Neoadjuvant Therapy as a Platform for Drug Development and Approval in Breast Cancer

Aditya Bardia et al.

CLINICAL CANCER RESEARCH (2013)

Article Oncology

Nomogram predicting clinical outcomes in breast cancer patients treated with neoadjuvant chemotherapy

Bhumsuk Keam et al.

JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY (2011)

Article Oncology

Measurement of residual breast cancer burden to predict survival after Neoadjuvant chemotherapy

W. Fraser Symmans et al.

JOURNAL OF CLINICAL ONCOLOGY (2007)

Article Health Care Sciences & Services

Decision curve analysis: A novel method for evaluating prediction models

Andrew J. Vickers et al.

MEDICAL DECISION MAKING (2006)