The balance of regulatory and stimulatory B cell subsets in breast cancer draining lymph nodes correlates with tumor prognostic factors

Shariati, Sahar; Mehdipour, Fereshteh; Samadi, Morteza; Rasolmali, Reza; Talei, Abdolrasoul; Ghaderi, Abbas

doi:10.1016/j.lfs.2020.118117

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…This may contribute to immune tolerance within the lung microenvironment, allowing cancer cells to proliferate and evade immune surveillance. The enrichment of PD-L1+ B cells correlates with higher tumor grade in breast cancer 62 . In addition, melanoma patients show a higher frequency of PD-L1+ B cells at the metastatic site and suppress T cell activity in a PD-L1-dependent manner 63 .…”

Section: Discussionmentioning

confidence: 99%

Induced electric fields inhibit breast cancer growth and metastasis by modulating the immune tumor microenvironment

Charan,

Jones,

Ahirwar

et al. 2024

Preprint

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Despite tremendous advances in oncology, metastatic triple-negative breast cancer remains difficult to treat and manage with established therapies. Here, we show in mice with orthotopic triple-negative breast tumors that alternating (100 kHz), and low intensity (<1 mV/cm) induced electric fields (iEFs) significantly reduced primary tumor growth and distant lung metastases. Non-contact iEF treatment can be delivered safely and non-invasively in vivo via a hollow, rectangular solenoid coil. We discovered that iEF treatment enhances anti-tumor immune responses at both the primary breast and secondary lung sites. In addition, iEF reduces immunosuppressive TME by reducing effector CD8+ T cell exhaustion and the infiltration of immunosuppressive immune cells. Furthermore, iEF treatment reduced lung metastasis by increasing CD8+ T cells and reducing immunosuppressive Gr1+ neutrophils in the lung microenvironment. We also observed that iEFs reduced the metastatic potential of cancer cells by inhibiting epithelial-to-mesenchymal transition. By introducing a non-invasive and non-toxic electrotherapeutic for inhibiting metastatic outgrowth and enhancing anti-tumor immune response in vivo, treatment with iEF technology could add to a paradigm-shifting strategy for cancer therapy.

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Section: Discussionmentioning

confidence: 99%

Induced electric fields inhibit breast cancer growth and metastasis by modulating the immune tumor microenvironment

Charan,

Jones,

Ahirwar

et al. 2024

Preprint

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“…Besides the pathological assessments of GCs in LNs, scRNA sequencing studies of LN immune cells have demonstrated both immune-suppressive and immune-promoting roles for B cells [49]. Shariati et al revealed that an enhanced CD86+CD39+PD-1+PD-L1+ B cell population may hold immunosuppressive properties through association with poor prognostic factors [90], whilst CD40-activated B cells as APCs can activate and expand anti-tumour naïve and memory T cells [91]. Further, interactions between CD45 and the inhibitory receptor CD22 negatively regulated B cell immunity and were reported to be associated with LN metastasis in breast cancer [62].…”

Section: B Cells In Lymph Nodes Of Breast Cancer Patientsmentioning

confidence: 99%

B Cells in Breast Cancer Pathology

Quintana²,

Alberts

et al. 2023

Cancers

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B cells have recently become a focus in breast cancer pathology due to their influence on tumour regression, prognosis, and response to treatment, besides their contribution to antigen presentation, immunoglobulin production, and regulation of adaptive responses. As our understanding of diverse B cell subsets in eliciting both pro- and anti-inflammatory responses in breast cancer patients increases, it has become pertinent to address the molecular and clinical relevance of these immune cell populations within the tumour microenvironment (TME). At the primary tumour site, B cells are either found spatially dispersed or aggregated in so-called tertiary lymphoid structures (TLS). In axillary lymph nodes (LNs), B cell populations, amongst a plethora of activities, undergo germinal centre reactions to ensure humoral immunity. With the recent approval for the addition of immunotherapeutic drugs as a treatment option in the early and metastatic settings for triple-negative breast cancer (TNBC) patients, B cell populations or TLS may resemble valuable biomarkers for immunotherapy responses in certain breast cancer subgroups. New technologies such as spatially defined sequencing techniques, multiplex imaging, and digital technologies have further deciphered the diversity of B cells and the morphological structures in which they appear in the tumour and LNs. Thus, in this review, we comprehensively summarise the current knowledge of B cells in breast cancer. In addition, we provide a user-friendly single-cell RNA-sequencing platform, called “B singLe cEll rna-Seq browSer” (BLESS) platform, with a focus on the B cells in breast cancer patients to interrogate the latest publicly available single-cell RNA-sequencing data collected from diverse breast cancer studies. Finally, we explore their clinical relevance as biomarkers or molecular targets for future interventions.

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“…The percentage of CD86 ( +) B cells showed a positive relationship with higher tumor grade and higher numbers of involved lymph nodes in 44 breast cancer patients [36]. FCGR3A encodes a receptor for the Fc portion of immunoglobulin G, which plays a significant role in the immune response [37].…”

Section: Analysis Of Immunity Module In Brcamentioning

confidence: 99%

A functional gene module identification algorithm in gene expression data based on genetic algorithm and gene ontology

2023

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Since genes do not function individually, the gene module is considered an important tool for interpreting gene expression profiles. In order to consider both functional similarity and expression similarity in module identification, GMIGAGO, a functional Gene Module Identification algorithm based on Genetic Algorithm and Gene Ontology, was proposed in this work. GMIGAGO is an overlapping gene module identification algorithm, which mainly includes two stages: In the first stage (initial identification of gene modules), Improved Partitioning Around Medoids Based on Genetic Algorithm (PAM-GA) is used for the initial clustering on gene expression profiling, and traditional gene co-expression modules can be obtained. Only similarity of expression levels is considered at this stage. In the second stage (optimization of functional similarity within gene modules), Genetic Algorithm for Functional Similarity Optimization (FSO-GA) is used to optimize gene modules based on gene ontology, and functional similarity within gene modules can be improved. Without loss of generality, we compared GMIGAGO with state-of-the-art gene module identification methods on six gene expression datasets, and GMIGAGO identified the gene modules with the highest functional similarity (much higher than state-of-the-art algorithms). GMIGAGO was applied in BRCA, THCA, HNSC, COVID-19, Stem, and Radiation datasets, and it identified some interesting modules which performed important biological functions. The hub genes in these modules could be used as potential targets for diseases or radiation protection. In summary, GMIGAGO has excellent performance in mining molecular mechanisms, and it can also identify potential biomarkers for individual precision therapy.

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The balance of regulatory and stimulatory B cell subsets in breast cancer draining lymph nodes correlates with tumor prognostic factors

Cited by 7 publications

References 30 publications

Induced electric fields inhibit breast cancer growth and metastasis by modulating the immune tumor microenvironment

Induced electric fields inhibit breast cancer growth and metastasis by modulating the immune tumor microenvironment

B Cells in Breast Cancer Pathology

A functional gene module identification algorithm in gene expression data based on genetic algorithm and gene ontology

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