Breast cancer is a heterogeneous disease characterized by diverse molecular and immune features and blood-based immunophenotyping may provide insights into systemic immune variation relevant to treatment. Baseline immune profiling before surgery or systemic therapy reflects the natural tumor–host interaction and systemic immune status. In this exploratory, hypothesis-generating study, we integrated in silico analysis of publicly available high-dimensional immune profiling data with an independent prospective assessment of selected peripheral immune populations. Publicly available mass cytometry data from CD45 + viable singlet peripheral blood mononuclear cells of healthy donors, hereditary breast and ovarian cancer predisposition carriers, and breast cancer patients were analyzed using the CATALYST pipeline in R. Based on the immune patterns identified in the public dataset, selected immune populations were subsequently examined in an independent cohort of 11 treatment-naïve breast cancer patients using eight-color flow cytometry. The two approaches were used as complementary analyses rather than as direct technical validation of one another. Unsupervised clustering identified 20 immune metaclusters, with CD4 + T-cell and CD14 + monocyte subsets showing the greatest variation across groups. Patients subsequently allocated to neoadjuvant chemotherapy exhibited higher lymphocyte percentages (median, 53% vs. 42%,
P
= 0.004) and classical CD14 + + CD16 − monocytes (median, 73% vs. 58%,
P
< 0.0001), whereas patients undergoing surgery showed higher non-classical CD14 + CD16 + + monocytes (median, 16% vs. 10,
P
= 0.078). CD80/CD86 co-expression further classified patients into high, moderate, and low activation profiles. These baseline immune differences were associated with subsequent treatment allocation but remain descriptive, as patients had not yet received treatment at the time of peripheral blood sampling, providing preliminary, hypothesis-generating evidence of peripheral immune variation in breast cancer and supporting further investigation of monocyte and lymphocyte populations in larger prospective cohorts.
Background Oral squamous cell carcinoma (OSCC) is the most prevalent form of oral cancer and is characterized by a poor prognosis and frequent immune evasion. While the tumor microenvironment (TME) plays a central role in modulating responses to therapy, its relationship with systemic immune signatures remains poorly u...
Nayane Alves de Lima Galdino, Flavio Pignataro-Oshiro, J. Scarini et al.· Frontiers in Immunology· 0 citations
Background: Lung adenocarcinoma (LUAD) shows marked heterogeneity in its immune microenvironment, which may contribute to differences in disease-free survival (DFS) and clinical outcome. Although current LUAD classifications are largely based on genomic or transcriptomic features, immune subtypes defined directly from...
Ruo-Xian Zhang, Hong-Sheng Guo, Xian-Ju Li et al.· Proteomes· 0 citations
Integrated serological and cellular profiling provides a scalable framework for characterizing an immune fingerprint with potential prognostic value in patients with B-cell hematological malignancies and supports further investigation of immune monitoring approaches in larger longitudinal cohorts.
Carlota Arias-Hidalgo, J. Hernández-Vázquez, C. Teodosio et al.· Journal of Proteome Research· 0 citations
Black women with breast cancer experience poorer outcomes than White women. It is recognized that an array of factors including ancestry and socioeconomic status, including environmental inequalities, as well as surveillance landscape affect this disparity. However, the specific contribution of genetic ancestry to an...
Bryan Boon Han Ng, Paul R. Buckley, T. Alaguthurai et al.· Cancer Epidemiology, Biomark...· 0 citations
Background Chromosome 4 open reading frame 50 (C4orf50) is a poorly characterized gene whose expression pattern and clinical relevance in breast cancer remain unclear. We aimed to evaluate the expression, prognostic association, immune microenvironment correlates, and transcriptional features associated with C4orf50 in...
Si-Hang Lin, Li-Xia Liu, Jia-Yu Guan et al.· Translational Cancer Researc...· 0 citations
Collectively, multi-modal plasma cfRNA profiling may enable non-invasive breast cancer detection and provide candidate markers for prognostic risk stratification and future precision oncology applications.
Jun Wang, Liu Yang, Kai Fang et al.· Genomics· 0 citations
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