Background: Despite surgical removal of the primary tumor of breast cancer in patients with apparently localized disease, relapse at local or distant sites may occur because undetectable micrometastases were present at the time of diagnosis. Identification of molecules associated with breast cancer metastasis suggests possible new treatments. PCD1, a gene encoding a new member of the PDZ and LIM domain-containing protein family, recently was identified. We examined the relationships between PCD1 mRNA expression in breast cancers and metastasis.

Materials And Methods: PCD1 mRNA expression in breast cancer tissues was examined using a quantitative reverse transcription polymerase chain reaction.

Results: PCD1 mRNA expression was greater in cancers than in noncancerous tissues (p < 0.0001). In addition, high PCD1 gene expression was more frequent in patients with lymph node metastasis.

Conclusion: PCD1 appears to contribute to breast cancer progression and nodal metastasis, thus representing a potential target molecule in breast cancer diagnosis and treatment.

Download full-text PDF

Source

Publication Analysis

Top Keywords

breast cancer
24
pcd1 mrna
12
mrna expression
12
pdz lim
8
lymph node
8
pcd1 gene
8
expression breast
8
pcd1
7
breast
7
cancer
6

Similar Publications

Objective: The case-control study aims to identify the potential risk and protective factors contributing to breast cancer risk in the high-incidence Aizawl population and the low-incidence Agartala population, using age-specific prevalence data of established reproductive factors and body mass index (BMI) among healthy women.

Methods: A risk profile survey was conducted on asymptomatic women aged 30-64 in Aizawl and Agartala towns. Data was analysed using SPSS software.

View Article and Find Full Text PDF

Introduction: Breast cancer is the most prevalent cancer among women worldwide, and advancements in detection and treatment have improved survival rates. Evaluating breast cancer patients' quality of life is essential for effective healthcare planning. This study aims to assess the level of quality of life and its associated factors, including sociodemographic, clinical, coping skills, and psychological factors among breast cancer women in Iraq.

View Article and Find Full Text PDF

Background: Breast cancer remains a significant global health challenge, requiring innovative therapeutic strategies. In silico methods, which leverage computational tools, offer a promising pathway for vaccine development. These methods facilitate antigen identification, epitope prediction, immune response modelling, and vaccine optimization, accelerating the design process.

View Article and Find Full Text PDF

Objective: Programmed Death-Ligand 1 (PD-L1) and Cytotoxic T Lymphocyte -Associated Antigen-4 (CTLA-4) are presently considered as prognostic markers and therapeutic targets in numerous human malignancies. The goal of this study was to determine whether PD-L1 and CTLA-4 might be used to predict patients' survival in Triple Negative Breast Cancer (TNBC).

Methods: This retrospective cohort study analyzed 100 primary TNBC cases that had surgical resection at the Oncology Center of Mansoura University (OCMU), Faculty of Medicine, Egypt.

View Article and Find Full Text PDF

8-OHdG and Nrf2 Protein are Expressed Consistently in Various T Stages of Invasive Breast Carcinoma.

Asian Pac J Cancer Prev

January 2025

Department of Anatomic Pathology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.

Objective: Oxidative stress prompts breast cancer cells to adapt by raising the lethal threshold and enhancing the antioxidant mechanism, thereby enabling survival and continuous proliferation that facilitates tumor progression. Nrf2 and 8-OHdG are indicative of oxidative stress activity and impact the progression of breast cancer. We aimed to analyze the expression of Nrf2 and 8-OHdG in various T stages of breast cancer in our hospital.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!