Development of prognostic models for HER2-positive metastatic breast cancer in females: a retrospective population-based study.

Background: This study aimed to construct, evaluate, and validate nomograms for breast cancer-specific survival (BCSS) and overall survival (OS) prediction in patients with HER2- overexpressing (HER2+) metastatic breast cancer (MBC).

Methods: The Surveillance, Epidemiology, and End Results (SEER) database was used to select female patients diagnosed with HER2 + MBC between 2010 and 2015. These patients were distributed into training and validation groups (7:3 ratio).

Naples Prognostic Score: A Novel Predictor of Survival in Patients with Triple-Negative Breast Cancer.

Purpose: This study investigated the correlation between the Naples prognostic score (NPS), clinicopathological traits, and the postoperative prognoses of patients with triple-negative breast cancer (TNBC). Based on NPS, a predictive nomogram was developed to estimate the long-term survival probabilities of patients with TNBC post-surgery.

Patients And Methods: We retrospectively examined the clinical records of 223 women with TNBC treated at Ningbo Medical Center, Lihuili Hospital between January 1, 2016 and December 31, 2020.

Triple-negative breast cancer survival prediction: population-based research using the SEER database and an external validation cohort.

Introduction: Triple-negative breast cancer (TNBC) is linked to a poorer outlook, heightened aggressiveness relative to other breast cancer variants, and limited treatment choices. The absence of conventional treatment methods makes TNBC patients susceptible to metastasis. The objective of this research was to assess the clinical and pathological traits of TNBC patients, predict the influence of risk elements on their outlook, and create a prediction model to assist doctors in treating TNBC patients and enhancing their prognosis.

Causal effects of genetically predicted endometriosis on breast cancer: a two-sample Mendelian randomization study.

This study used a Mendelian randomization (MR) approach to investigate the causal relationship between genetically predicted endometriosis (EMS) and breast cancer risk. A total of 122,977 cases and 105,974 controls were included in the analysis, with gene-level summary data obtained from the Breast Cancer Association Consortium (BCAC). An inverse variance-weighting approach was applied to assess the causal relationship between EMS and breast cancer risk, and weighted median and MR-Egger regression methods were used to evaluate pleiotropy.

Clinical Efficacy of Neoadjuvant Chemotherapy plus Modified Radical Mastectomy for Stage II-III Breast Cancer Patients and Its Influence on Serum Tumor Markers.

Objective: This research aims to assess the clinical efficacy of neoadjuvant chemotherapy (NACT) in combination with modified radical mastectomy (MRM) for stage II-III breast cancer (BC) patients and its impact on serum tumor markers (STMs).

Methods: The study included 119 stage II-III BC patients treated between June 2018 and June 2021. Among them, 55 cases underwent MRM (reference group), while 64 cases received NACT followed by MRM (research group).

Artificial intelligence in breast cancer: application and future perspectives.

Breast cancer is one of the most common cancers and is one of the leading causes of cancer-related deaths in women worldwide. Early diagnosis and treatment are the key for a favorable prognosis. The application of artificial intelligence technology in the medical field is increasingly extensive, including image analysis, automated diagnosis, intelligent pharmaceutical system, personalized treatment and so on.

An autophagy-related long non-coding RNA prognostic model and related immune research for female breast cancer.

Introduction: Breast cancer (BRCA) is the most common malignancy among women worldwide. It was widely accepted that autophagy and the tumor immune microenvironment play an important role in the biological process of BRCA. Long non-coding RNAs (lncRNAs), as vital regulatory molecules, are involved in the occurrence and development of BRCA.