Early Warning of Axillary Lymph Node Metastasis in Breast Cancer Patients Using Multi-Omics Signature: A Machine Learning-Based Retrospective Study.

Background: Axillary lymph node (ALN) is the most common metastasis path for breast cancer, and ALN dissection directly affects the postoperative staging and prognosis of breast cancer patients. Therefore, additional research is needed to accurately predict ALN metastasis before surgery and construct predictive models to assist in surgical decision-making and optimize patient care.

Methods: We retrospectively analyzed the clinical data, radiomics, and pathomics of the patients diagnosed with breast cancer in the Breast Cancer Center of Hubei Cancer Hospital from January 2017 to December 2022.

Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients.

Background: Complete response after neoadjuvant chemotherapy (rNACT) elevates the surgical outcomes of patients with breast cancer, however, non-rNACT have a higher risk of death and recurrence.

Aim: To establish novel machine learning (ML)-based predictive models for predicting probability of rNACT in breast cancer patients who intends to receive NACT.

Methods: A retrospective analysis of 487 breast cancer patients who underwent mastectomy or breast-conserving surgery and axillary lymph node dissection following neoadjuvant chemotherapy at the Hubei Cancer Hospital between January 1, 2013, and October 1, 2021.

[Corrigendum] Rab22a is a novel prognostic marker for cell progression in breast cancer.

Following the publication of this article, the authors have realized that Table I contained an error: The number of patients who were alive in the Rab22a high expression group should have been written as 77 instead of 772.
A corrected version of the Table is shown on the next page (the corrected datum is highlighted in bold). The authors sincerely apologize for the error that was introduced during the preparation of this Table, and regret any inconvenience that this mistake has caused.

Risk factors of breast intraductal lesions in patients without pathological nipple discharge.

The majority of breast cancer arises from the ductal epithelium. It is crucial in the diagnosis and treatment of breast cancer by detecting intraductal lesions at an early stage. The typical clinical characteristic of intraductal lesions is pathological nipple discharge (PND), although many patients with intraductal lesions do not exhibit PND.

Rab22a is a novel prognostic marker for cell progression in breast cancer.

Breast cancer (BC) is the most common female malignant tumor worldwide. The mechanism of tumorigenesis is still unclear. Ras‑related proteins in brain (Rab)22a belongs to the Ras superfamily, which may act as an oncogene and participate in carcinogenesis.

Downregulation of the long non-coding RNA TUG1 is associated with cell proliferation, migration, and invasion in breast cancer.

Recent studies have identified many long non-coding RNAs (lncRNAs) with critical roles in various biological processes including tumorigenesis. Taurine-upregulated gene 1 (TUG1), is an lncRNA recently reported to be involved in the progression of several human cancers. This study aimed to investigate the clinical significance and biological functions of TUG1 in breast cancer.