An In Vitro Model of Mast Cell Recruitment and Activation by Breast Cancer Cells Supports Anti-Tumoral Responses

Aponte-López, Angélica; Enciso, Jennifer; Muñoz-Cruz, Samira; Fuentes‐Pananá, Ezequiel M.

doi:10.3390/ijms21155293

Cited by 7 publications

(6 citation statements)

References 80 publications

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“…It has been shown that MCs are recruited by tumors, and TNBC cells then stimulate their activation and degranulation (57). In this scenario, activated MCs appear to mold a tumor stroma characterized by anti-tumor rather than supportive features (57).…”

Section: Tnbc/basal-likementioning

confidence: 99%

“…In contrast with data obtained from HER2-positive tumors, Bense and colleagues reported that activated MCs are associated with a higher pathologic complete response (pCR) rate in TNBC patients, thus supporting the role of MCs as favorable predictive markers in this breast carcinoma histotype ( 54 ). It has been shown that MCs are recruited by tumors, and TNBC cells then stimulate their activation and degranulation ( 57 ). In this scenario, activated MCs appear to mold a tumor stroma characterized by antitumor rather than supportive features ( 57 ).…”

Section: Different Breast Carcinoma Molecular Subtypes Diverse Progno...mentioning

confidence: 99%

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Few, but Efficient: The Role of Mast Cells in Breast Cancer and Other Solid Tumors

Majorini¹,

Colombo²,

Lecis

2022

Cancer Research

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Tumor outcome is determined not only by cancer cell-intrinsic features but also by the interaction between cancer cells and their microenvironment. There is great interest in tumor infiltrating immune cells, yet mast cells have been less studied. Recent work has highlighted the impact of mast cells on the features and aggressiveness of cancer cells, but the eventual effect of mast cell infiltration is still controversial. Here, we review multifaceted findings regarding the role of mast cells in cancer, with a particular focus on breast cancer, which is further complicated due to its classification into subtypes characterized by different biological features, outcome, and therapeutic strategies.

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Section: Tnbc/basal-likementioning

confidence: 99%

Section: Different Breast Carcinoma Molecular Subtypes Diverse Progno...mentioning

confidence: 99%

Few, but Efficient: The Role of Mast Cells in Breast Cancer and Other Solid Tumors

Majorini¹,

Colombo²,

Lecis

2022

Cancer Research

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“…Processes include peptide hormone processing and regulation of systemic arterial blood pressure. Members of this community, such as TPSAB1, CMA1, CTSG, CPA3, HDC, and MS4A2, are commonly found in Mast Cells expression, part of the immune response and usually recruited to breast tumors (Aponte-López et al, 2020). The presence of these immune-system associated communities as high co-expression sets in both networks might be an instance of multiple cell types present in the sample.…”

Section: Specific Trans-communities In the Luminal A Gcn Are Highly Associated With Biological Processesmentioning

confidence: 99%

Luminal A Breast Cancer Co-expression Network: Structural and Functional Alterations

2021

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Luminal A is the most common breast cancer molecular subtype in women worldwide. These tumors have characteristic yet heterogeneous alterations at the genomic and transcriptomic level. Gene co-expression networks (GCNs) have contributed to better characterize the cancerous phenotype. We have previously shown an imbalance in the proportion of intra-chromosomal (cis-) over inter-chromosomal (trans-) interactions when comparing cancer and healthy tissue GCNs. In particular, for breast cancer molecular subtypes (Luminal A included), the majority of high co-expression interactions connect gene-pairs in the same chromosome, a phenomenon that we have called loss of trans- co-expression. Despite this phenomenon has been described, the functional implication of this specific network topology has not been studied yet. To understand the biological role that communities of co-expressed genes may have, we constructed GCNs for healthy and Luminal A phenotypes. Network modules were obtained based on their connectivity patterns and they were classified according to their chromosomal homophily (proportion of cis-/trans- interactions). A functional overrepresentation analysis was performed on communities in both networks to observe the significantly enriched processes for each community. We also investigated possible mechanisms for which the loss of trans- co-expression emerges in cancer GCN. To this end we evaluated transcription factor binding sites, CTCF binding sites, differential gene expression and copy number alterations (CNAs) in the cancer GCN. We found that trans- communities in Luminal A present more significantly enriched categories than cis- ones. Processes, such as angiogenesis, cell proliferation, or cell adhesion were found in trans- modules. The differential expression analysis showed that FOXM1, CENPA, and CIITA transcription factors, exert a major regulatory role on their communities by regulating expression of their target genes in other chromosomes. Finally, identification of CNAs, displayed a high enrichment of deletion peaks in cis- communities. With this approach, we demonstrate that network topology determine, to at certain extent, the function in Luminal A breast cancer network. Furthermore, several mechanisms seem to be acting together to avoid trans- co-expression. Since this phenomenon has been observed in other cancer tissues, a remaining question is whether the loss of long distance co-expression is a novel hallmark of cancer.

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“…The prognostic role of MCs in BrCa is very controversial. So, in a relatively recent study on this topic, analyzing many publications, it was concluded that is some conditions MCs are of good prognosis, and in others, of bad prognosis [9,24]. Few studies investigated the relationship between the MCD and molecular type of BrCa.…”

Section:  Discussionmentioning

confidence: 99%

Mast cell density in the primary tumor predicts lymph node metastases in patients with breast cancer

Floroni

Ceauşu²,

Cosoroabă³

et al. 2022

Rom J Morphol Embryol

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Breast cancer (BrCa) is the most frequent neoplastic disease in female, with high morbidity and mortality. Most of the researches were focused on tumor cells concerning their natural evolution, molecular profile, and potential response to therapy. Few and uncertain data are available about the tumor microenvironment and its impact on the progression of the disease. Mast cells (MCs) associated to BrCa have been reported many years ago, but their real and specific role in the biology of this disease remained elusive. In the current study, we have investigated the predictive role of MCs from the primary tumor on lymph node metastasis on patients stratified based on the molecular classification. We investigated 156 patients with BrCa, stratified as luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) type, basal-like, and unclassified. MCs were identified with anti-MC tryptase antibody in a double immunohistochemical reaction combined with anti-cluster of differentiation 34 (CD34) antibody. Mast cell density (MCD) was calculated based on the hot-spot method, on three fields with maximum density of MCs in each case. The final result was the arithmetic media that was compared with the molecular profile and lymph node metastases. We found no significant correlation between MCD and the molecular profile of the primary tumor, but we noticed a strong correlation between intratumor MCD and lymph node metastases, regardless of the molecular type.

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An In Vitro Model of Mast Cell Recruitment and Activation by Breast Cancer Cells Supports Anti-Tumoral Responses

Cited by 7 publications

References 80 publications

Few, but Efficient: The Role of Mast Cells in Breast Cancer and Other Solid Tumors

Few, but Efficient: The Role of Mast Cells in Breast Cancer and Other Solid Tumors

Luminal A Breast Cancer Co-expression Network: Structural and Functional Alterations

Mast cell density in the primary tumor predicts lymph node metastases in patients with breast cancer

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