Abstract 30P
Background
Metastatic breast cancer (mBC) remains a leading cause of cancer-related deaths among women globally. Despite advances, many treatments fail to improve patient outcomes, emphasizing the need for innovative approaches and reliable biomarkers to better predict treatment response. Recent studies show that neutrophils play a critical role in cancer, with low density neutrophils (LDN) acting as key modulators in the tumor microenvironment. LDN are linked to tumor growth and metastasis, contributing to an immunosuppressive environment that supports cancer progression. Here, we investigated the clinical significance of LDN in breast cancer (BC) by assessing their association with disease progression and patient outcomes.
Methods
We analysed blood samples from 146 BC patients (78 non-metastatic, 68 metastatic), isolating both LDN and high-density neutrophils (HDN, conventional neutrophils) by density gradient centrifugation. Flow cytometry was used to quantify and characterize the populations.
Results
Our results show significant LDN accumulation in BC patients’ blood, particularly those with metastatic disease. Importantly, elevated LDN levels were linked to reduced life expectancy in these patients, regardless of metastatic site (bone, lung or brain). Moreover, the increase in LDN levels was often accompanied by a decrease in HDN, leading to an imbalance favoring protumor neutrophils. Additionally, preliminary data from a small cohort of triple-negative BC patients (n=7, ongoing recruitment) undergoing immunotherapy suggest that higher pre-treatment LDN levels may predict poorer treatment response. This early finding points to LDN’ potential as predictive biomarkers for immunotherapy efficacy in BC.
Conclusions
Our study highlights the prognostic value of LDN in BC, with elevated levels linked to advanced disease and worse clinical outcomes. These findings suggest that LDN could serve as valuable biomarkers for monitoring disease progression and predict treatment response, identifying patients at greater risk. Ultimately, incorporating LDN assessment into clinical practice may guide treatment strategies, offering a more personalized approach to BC management and potentially improving therapeutic outcomes.
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
44P - Machine learning-based prediction of survival in patients with metastatic renal cell carcinoma receiving first-line immunotherapy
Presenter: Ahmed Elgebaly
Session: Poster Display session
Resources:
Abstract
45P - Gut microbiome signatures for exploring the correlation between gut microbiome and immune therapy response using machine learning approach
Presenter: Han Li
Session: Poster Display session
Resources:
Abstract
46P - Abnormal gut microbiota may cause PD-1 inhibitor-related cardiotoxicity via suppressing regulatory T cells
Presenter: Zeeshan Afzal
Session: Poster Display session
Resources:
Abstract
47P - Correlation of clinical, genetic and transcriptomic traits with PD-L1 positivity in TNBC patients
Presenter: Anita Semertzidou
Session: Poster Display session
Resources:
Abstract
48P - The A2AR antagonist inupadenant promotes humoral responses in preclinical models
Presenter: Paola Tieppo
Session: Poster Display session
Resources:
Abstract
49P - Highly potent novel armoured IL13Ra2 CAR T cell targeting glioblastoma
Presenter: Maurizio Mangolini
Session: Poster Display session
Resources:
Abstract
50P - Phase I trial of P-MUC1C-ALLO1 allogeneic CAR-T cells in advanced epithelial malignancies
Presenter: David Oh
Session: Poster Display session
Resources:
Abstract
51P - Unlocking CAR-T cell potential: Lipid metabolites in overcoming exhaustion in ovarian cancer
Presenter: Xiangyu Chang
Session: Poster Display session
Resources:
Abstract
52P - Tumor-targeted cytokine release by genetically-engineered myeloid cells rescues CAR-T activity and engages endogenous T cells against high-grade glioma in mouse models
Presenter: Federico Rossari
Session: Poster Display session
Resources:
Abstract
53P - Novel ex-vivo manufacturing of transiently expressed armoured CAR T cells for glioblastoma
Presenter: Saket Srivastava
Session: Poster Display session
Resources:
Abstract