Results 181 to 190 of about 724,506 (298)

Sex Steroid Hormone Regulation of T-Cell Function and Antitumor Immunity. [PDF]

open access: yesClin Cancer Res
Heard A, Huynh RT, Hagan CR, Moran AE.
europepmc   +1 more source

The Impact of Pregnancy on the Course of Vitiligo—A Systematic Review

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Background Vitiligo is a chronic autoimmune skin disorder affecting an estimated 0.36% of the global population. Previous research indicated an interaction between pregnancy and autoimmunity disorders. However, evidence regarding the interaction between pregnancy and vitiligo is limited. A better understanding of the impact of pregnancy on the
Marlide R. Jukema   +6 more
wiley   +1 more source

Risk Factors Influencing Efficacy and Prognosis Evaluation of Neoadjuvant Systemic Therapy in Triple‐Positive Breast Cancer

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT To identify the determinants of the response to neoadjuvant systemic therapy (NST) in triple‐positive breast cancer (TPBC), we retrospectively enrolled 520 patients with human epidermal growth factor receptor 2 (HER2)‐positive breast cancer who were treated at The First Affiliated Hospital of Chongqing Medical University between January 2015 ...
Lin‐Rui Miao   +7 more
wiley   +1 more source

Development of a Nomogram‐Based Clinical Estimation Model for Pathological Upstaging in Patients With Preoperative Ductal Carcinoma In Situ

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Preoperative diagnosis of ductal carcinoma in situ (DCIS) may be followed by pathological upstaging to invasive ductal carcinoma (IDC) upon surgical excision, a discrepancy that significantly impacts surgical planning and decisions regarding sentinel lymph node biopsy (SLNB).
Yu‐Hua Chen   +5 more
wiley   +1 more source

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by integrating clinical and radiomic features derived from pretreatment computed tomography (CT).
Huei‐Yi Tsai   +6 more
wiley   +1 more source

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