Extracellular vesicle-associated miRNAs and chemoresistance: a systematic review
A Campos, S Sharma, A Obermair, C Salomon - Cancers, 2021 - mdpi.com
Simple Summary There is an urgent need for a non-invasive, specific biomarker to identify
patients at risk of chemoresistance, which it is the ability of cancer cells to escape the effect …
patients at risk of chemoresistance, which it is the ability of cancer cells to escape the effect …
[HTML][HTML] Pathologic response and residual tumor cellularity after neo-adjuvant chemotherapy predict prognosis in breast cancer patients
D Gentile, A Sagona, C De Carlo, B Fernandes… - The Breast, 2023 - Elsevier
Introduction Residual tumor cellularity (RTC) and pathologic complete response (pCR) after
neo-adjuvant chemotherapy (NAC) are prognostic factors associated with improved …
neo-adjuvant chemotherapy (NAC) are prognostic factors associated with improved …
Treatment of residual disease following neoadjuvant therapy in breast cancer
NK Heater, K Somayaji… - Journal of surgical …, 2024 - Wiley Online Library
Substantial advances have been made in the systemic treatment of breast cancer with
residual disease following neoadjuvant therapy. We reviewed recent and ongoing studies …
residual disease following neoadjuvant therapy. We reviewed recent and ongoing studies …
Expression of therapy-induced senescence markers in breast cancer samples upon incomplete response to neoadjuvant chemotherapy
Senescence is a cell stress response induced by replicative, oxidative, oncogenic, and
genotoxic stresses. Tumor cells undergo senescence in response to several cancer …
genotoxic stresses. Tumor cells undergo senescence in response to several cancer …
Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer
TB Fisher, G Saini, TS Rekha, J Krishnamurthy… - Breast Cancer …, 2024 - Springer
Background Pathological complete response (pCR) is associated with favorable prognosis
in patients with triple-negative breast cancer (TNBC). However, only 30–40% of TNBC …
in patients with triple-negative breast cancer (TNBC). However, only 30–40% of TNBC …
STARD3: a new biomarker in HER2-positive breast cancer
Simple Summary One out of 8 breast cancers is of a particular type called “HER2-positive”,
which is more aggressive and is treated by surgery and a medical treatment associating …
which is more aggressive and is treated by surgery and a medical treatment associating …
Clinical outcomes among major breast cancer subtypes after neoadjuvant chemotherapy: Impact on breast cancer recurrence and survival
P Orsaria, A Grasso, E Ippolito, F Pantano… - Anticancer …, 2021 - ar.iiarjournals.org
Background/Aim: Prior studies have underlined the prognostic relevance of pathological
complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer …
complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer …
Developing a prediction model for pathologic complete response following neoadjuvant chemotherapy in breast cancer: a comparison of model building approaches
RB Basmadjian, S Kong, DJ Boyne… - JCO Clinical Cancer …, 2022 - ascopubs.org
PURPOSE The optimal characteristics among patients with breast cancer to recommend
neoadjuvant chemotherapy is an active area of clinical research. We developed and …
neoadjuvant chemotherapy is an active area of clinical research. We developed and …
Prediction of pathologic complete response by ultrasonography and magnetic resonance imaging after neoadjuvant chemotherapy in patients with breast cancer
K Zhang, J Li, Q Zhu, C Chang - Cancer Management and …, 2020 - Taylor & Francis
Purpose To compare the diagnostic performance for pathologic complete response (pCR) in
breast cancer after neoadjuvant chemotherapy (NAC) between ultrasound (US) and …
breast cancer after neoadjuvant chemotherapy (NAC) between ultrasound (US) and …
Early prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer MRI images using combined Pre-trained convolutional neural …
Objective Timely diagnosis of breast cancer can ameliorate the treatment plan, thus
reducing the mortality rate. We propose a model integrating pre-trained Convolutional …
reducing the mortality rate. We propose a model integrating pre-trained Convolutional …