The aim of current study was to evaluate the genetic variation in all the genes encoding pro- and anti-inflammatory cytokines in association with breast cancer development in patients from Malwa region of Punjab. The importance of the levels of interleukin (IL)-17, tumor necrosis factor, interferon γ, IL-10, IL-6, IL-4, and IL-2 with respect to clinicopathological data, prognosis, and disease-free survival was also determined in these patients. Two hundred and fifty female breast cancer patients and 250 age-matched controls were screened for variations in cytokine-encoding genes using global screening array microchip. The level of cytokines was estimated in 150 patients and 60 age-matched controls using BD™ Cytometric Bead Array (CBA) Human Th1/Th2/Th17 cytokine kit by BD Accuri flow cytometer. The difference in cytokine levels was evaluated by Mann-Whitney test. No significant variation in the genes encoding various cytokines was found between patients and controls. Out of the seven cytokines evaluated, the levels of IL-6 and IL-17a were found to be significantly high in patients in comparison with controls ( p = 0.001 and 0.02, respectively). The elevated levels of these cytokines are also associated significantly with poor outcome. We did not find any specific variation in the genes encoding various cytokines between patients and controls. However, there was a significant difference in the serum levels of IL-6 and IL-17a between patients and controls, and the elevated levels of these two cytokines associated significantly with poor outcome in breast cancer patients and, therefore, can be used as prognostic markers.

Download full-text PDF

Source
http://dx.doi.org/10.1002/jcp.26901DOI Listing

Publication Analysis

Top Keywords

breast cancer
16
variation genes
12
genes encoding
12
patients controls
12
patients
9
pro- anti-inflammatory
8
cytokine levels
8
prognostic markers
8
cancer patients
8
age-matched controls
8

Similar Publications

Importance: Research indicates that social drivers of health are associated with cancer screening adherence, although the exact magnitude of these associations remains unclear.

Objective: To investigate the associations between individual-level social risks and nonadherence to guideline-recommended cancer screenings.

Design, Setting, And Participants: This cross-sectional study used 2022 Behavioral Risk Factor Surveillance System data from 39 US states and Washington, DC.

View Article and Find Full Text PDF

Canine mammary tumors as a promising adjunct preclinical model for human breast cancer research: similarities, opportunities, and challenges.

Arch Pharm Res

January 2025

Laboratory of Biochemistry and Immunology, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Republic of Korea.

Despite significant progress in the field of human breast cancer research and treatment, there is a consistent increase in the incidence rate of 0.5 percent annually, posing challenges in the development of effective novel therapeutic strategies. The failure rate of drugs in clinical trials stands at approximately 95%, primarily attributed to the limitations and lack of reliability of existing preclinical models, such as mice, which do not mimic human tumor biology.

View Article and Find Full Text PDF

A Review on Integrating Breast Cancer Clinical Data: A Unified Platform Perspective.

Curr Treat Options Oncol

January 2025

Department of Pharmacognosy, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.

Integrating clinical datasets in breast cancer research emerges as a necessary tool for advancing our knowledge of the disease and enhancing patient outcomes. Synthesizing diverse datasets offers advantages, from facilitating evidence-based insights to enabling predictive analytics and precision medicine strategies. Crucially, effective integration of clinical datasets necessitates collaborative efforts, policy interventions, and technological advancements to elevate global standards of breast cancer care.

View Article and Find Full Text PDF

Objectives: Automated breast ultrasound imaging (ABUS) results in a reduction in breast cancer stage at diagnosis beyond that seen with mammographic screening in women with increased breast density or who are at a high risk of breast cancer. It is unknown if the addition of ABUS to mammography or ABUS imaging alone, in this population, is a cost-effective screening strategy.

Methods: A discrete event simulation (Monte Carlo) model was developed to assess the costs of screening, diagnostic evaluation, biopsy, and breast cancer treatment.

View Article and Find Full Text PDF

Background: Flat epithelial atypia (FEA), a rare breast proliferative lesion, is often diagnosed following core biopsy (CB) of mammographic microcalcifications. In the prospective multi-institution TBCRC 034 trial, we investigate the upgrade rate to ductal carcinoma in situ (DCIS) or invasive cancer following excision for patients diagnosed with FEA on CB.

Patients And Methods: Patients with a breast imaging reporting and data system (BI-RADS) ≤ 4 imaging abnormality and a concordant CB diagnosis of FEA were identified for excision.

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!