Research Article | | Volume 13 Issue 1 (February, 2024) | Pages 88 - 93

Different views of the pathway's impact on Chemoresistance and Relapse Advanced Breast Cancer and type 2 Diabetes Mellitus

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1
Department of breast cancer and reconstructive surgery, State Non-commercial Enterprise "National Cancer Institute" of the Ministry of Health of Ukraine, Kyiv, Ukraine.
Under a Creative Commons license
Open Access
Received
Dec. 27, 2023
Accepted
Jan. 30, 2024
Published
Feb. 29, 2024

Abstract

Advanced breast cancer (ABC) with type 2 diabetes mellitus could be an uncommon, however profoundly forceful frame of breast cancer, which accounts for less than 5% of all locally progressed introductions. The clinical introduction of advanced breast cancer regularly contrasts altogether from that of non-advanced breast cancer; immunohistochemistry uncovers a few recognizing highlights. The more forceful triple-negative and HER2-positive breast cancer subtypes are overrepresented in advanced breast cancer compared to non-advanced breast cancer, with a poorer guess in reaction to routine treatments and plasma glucose level control with hyperglucosemia modification. Current understanding of breast tumor chemoresistance - breast cancers localized at essential breast areas and treated early can still relapse because of the presence of cancer cells and the change of cancer cells into a moderately forceful phenotype. This audit summarizes the current proof recommending that inflammatory signaling pathways are up-regulated, which may give a road for novel therapeutics against the background of diabetes. The part of the tumor microenvironment, through tumor-associated macrophages and infiltrating lymphocytes, is additionally examined, recommending that these tumors' outward variables may offer assistance in accounting for the contrasts in behavior between advanced breast cancer with high plasma glucose levels and non-advanced breast cancer. There are different novel treatment techniques currently underway in clinical trials; they require encouraging the improvement of preclinical models of this uncommon but forceful disease is vital.

Keywords
Advanced breast cancer, Signaling pathways, Cancer chemoresistance and relapse, Diabetes mellitus

1. Introduction

Breast cancer (BC) remains a dangerous disease, indeed, with all the recent technological headways. In time, the performed intercession has made an effect, but an overwhelmingly huge number of BC patients still live beneath the fear of chemoresistance and "recurrent" disease [1]. Over a long time, a few variables have been examined with the overarching point of being able to prognoses disease chemoresistance. Current understanding of breast tumor chemoresistance - breast cancers localized at essential breast areas. Those treated early can still relapse because of the presence of cancer cells and the change of cancer cells into a moderately forceful phenotype [2]. BC survivors are at hazard for creating unused cancers for a few reasons—whatever caused unique cancer might still have an impact, either on moment primaries within the same organ or on related cancers in other organs [3], i.e., are relatively non-specific for this type of cancer, such as type 2 diabetes mellitus (T2DM) [4].

Although many efforts have been made, molecular or pathological diagnostic criteria for advanced breast cancer (ABC) have not yet been identified. The molecular subtypes of ABC patients include hormone receptor-positive (HR+, positive for estrogen and/or progesterone receptors)/HER2+ (14.8%), HR+/HER2-negative (HER2\(-\); 35.7%), HR\(-\)/HER2+ (23.1%), and triple-negative (TNBC, negative for estrogen and progesterone receptors and HER2; 26.4%) [5]. Among these ABC subtypes, TN-ABC carries the worst prognosis [6]. The standard treatment for ABC is trimodality therapy, which consists of chemotherapy, surgery, and radiation. Although this therapeutic approach has significantly improved patient survival, the median survival of ABC patients remains poor. Over the past two decades, researchers have identified molecular changes that play important roles in ABC. These include loss of WNT1-inducible-signaling pathway protein 3 (WISP3) [7]; overexpression of epidermal growth factor receptor (EGFR), HER2, TIG1/Axl, E-cadherin, overexpression of inflammatory mediators Janus kinase (JAK)/signal transducers and activators of transcription (STAT), nuclear factor kappa B (NF-\(\kappa\)B), and Cyclooxygenase-2 (COX-2) [8]. However, glucose metabolism and DNA repair are observed in approximately 20 - 30% of malignant neoplasms of this organ and correlate with the aggressive course of the disease [9].

The tumor microenvironment (TME), including T cells and tumor-associated macrophages (TAMs), was critical in promoting ABC aggressiveness. TAMs enhance ABC cell migration. It has been shown that the presence of tumor-infiltrating lymphocytes was increased in the tumors of ABC patients who had a pathological complete response (pCR) to neoadjuvant chemotherapy [10].

However, one of the main criteria was plasma glucose level control because it can lead to adverse events like hyperglycemia above 14.0 mmol/l, the same way hypoglycemia below 4.0 mmol/l [11].

When to summarize critical signaling pathways in the progression and possible chemoresistance and relapse of ABC, crosstalk with the ABC TME, and the up-to-date preclinical and clinical studies of targeting these pathways in ABC (Figure 1).

Overexpressed or activated signaling pathways in inflammatory breast cancer and the tumor microenvironment. The presence of tumor emboli, in which cells pack together to form a tumor cell cluster, is a hallmark of IBC cells. DCs, dendritic cells; ABC, advanced breast cancer; MSCs, mesenchymal stem cells; TAMs, tumor-associated macrophages

A. Molecular Characteristic of ABC

Accordingly, the major molecular subtypes described for non-ABC exist within ABC, with the associated prognostic and histological features. The most frequently mutated genes were TP53 and PIK3CA, with alterations spanning the whole coding sequence of TP53 and involving hotspot regions in PIK3CA. Moreover, recurrent copy number gains were identified in MYC, CCND1, FGF19, FGF3, and FGFR1. Among them, CCND1, FGF19, and FGF3 genes mapped on the same cytogenetic band, 11q13.3, and showed a statistically significant co-occurrence (p \(<\) 0.001 and q \(<\) 0.01).

In particular, TP53, PIK3R1, and NF1 mutations were detected more frequently in triple-negative tumors (odds ratio \(>\) 2.71, p-value \(<\) 0.05). CCND1, FGF3, and FGFR1 copy number gains were identified in luminal cases (OR \(<\) 0.36, p \(<\) 0.05). The diversity of genomic alterations within ABC patients indicates an opportunity for more personalized therapies targeting oncoproteins encoded by mutated or amplified genes [12].

B. Inflammation and ABC

Excessive abundance of cytokines and chemokines in the tumor microenvironment are well-recognized factors underpinning solid malignancies’ progression [13]. These soluble factors not only support the survival, proliferation, and invasion of tumor cells but also increase angiogenesis and facilitate the evasion of immune surveillance. A comprehensive study by Morrow and colleagues [14] of 36 surgical ABC samples after neoadjuvant therapy analyzed the expression of 538 genes implicated in tumor-associated inflammation and angiogenesis. Authors failed to detect any significant differences in the expression of many inflammatory cytokines and chemokines, including IFN-\(\gamma\), TNF, IL-1\(\alpha\), IL-1\(\beta\), IL-8, and IL-10 between ABC and non-ABC tissue samples, indicating that the associated inflammatory phenotype commonly visible is more likely due to blockage of the dermal lymphatics by disseminated tumor cells than by an infiltration of inflammatory cells [15]. The latent transcription factor components of the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-\(\kappa\)B) and signal transducer and activator of transcription (STAT-) 3, with a lesser involvement of the RAS/mitogen-activated protein kinase (MAPK)/Jun kinase (JNK) pathway and cyclooxygenase (COX) enzymes. Indeed, emerging evidence suggests that these pathways may also play an essential role in ABC [16].

C. Inflammatory Signaling Pathways

1) NF-\(\kappa\)B Pathway and Associated Cytokines

The NF-\(\kappa\)B pathway induces the expression of various pro-inflammatory cytokines and chemokines and regulates inflammasomes. IL-6 and IL-8 are two cytokines regulated by the NF-\(\kappa\)B pathway and are hyperactivated in ABC. SUM149 and SUM190 cells secreted significant amounts of IL-6 and IL-8 compared with non-ABC cell lines. Inhibition of the NF-\(\kappa\)B pathway by using tetrathiomolybdate, a specific copper chelator, or by transfecting a dominant-negative I\(\kappa\)B\(\alpha\) vector reduced the secretion of VEGF, fibroblast growth factor 2 (FGF2), IL-1\(\alpha\), IL-6, and IL-8 in vitro and SUM149 tumor growth and angiogenesis in vivo. The NF-\(\kappa\)B family consists of P65, RelB, cRel, P105, and P100, which require dimerization to elicit transcriptional activity [17].

The activation of NF-\(\kappa\)B signaling can occur via classical and alternative pathways. Classical NF-\(\kappa\)B pathway activation occurs in response to inflammatory stimuli, including TNF, IL-1\(\beta\), and activators of toll-like receptors. In contrast, alternative NF-\(\kappa\)B activation occurs in response to ligand engagement of members of the TNF receptor superfamily, such as RANK, Fn14, lymphotoxin \(\beta\) receptor, and CD40. Classical NF-\(\kappa\)B pathway modulates gene expression in cell proliferation, survival, innate immunity, inflammation, and angiogenesis. In contrast, genes regulated by the alternative NF-\(\kappa\)B pathway regulate homeostasis of adaptive immunity and lymph angiogenesis [18]. In a cancer setting, tumors are often characterized by elevated levels of cytokines produced and secreted by the classical pathway, including two proinflammatory cytokines, TNF and IL-1\(\beta\), which commonly trigger its activation. Accordingly, constitutive activation of NF-\(\kappa\)B, which results in upregulation of antiapoptotic proteins, is frequently observed in ER-negative/HER2-positive tumors [19]. Fliegauf and colleagues [20], the linkage interval was robust to various assumptions about whether individuals with milder phenotypes should be considered "affected." Although the coding exons of several genes in the candidate region, including P100 (which spans 116 kbp and comprises 23 coding exons plus a non-coding first exon, results might be attributed to an underestimation of sequence variants adjacent to the coding exons, such as the non-coding intronic splice sites, which were not exhaustively studied at that time. Using the SUM-149 IBC cell line, it was observed that classical and alternative NF-\(\kappa\)B pathway activity both promoted the formation of tumorspheres in vitro, suggesting that these pathways may regulate the function of tumor-initiating cells [21]. Furthermore, the inflammatory cytokines IL-6 and IL-8, among the best characterized NF-\(\kappa\)B target genes, are produced and secreted at high levels within ABC [22]. Overexpression of IL-1\(\beta\) has been identified within the serum of patients with ER-negative breast tumors. Enhanced cell motility and invasion have also been coupled with overexpression of IL-1\(\beta\) within breast cancer via the upregulation of matrix metalloproteinase-9, integrin-1. The secretion of IL-1\(\beta\) requires inflammasome activation and processing of pro IL-1\(\beta\) by Caspase-1 or 8. Inflammasome signaling becomes activated upon pathogen or danger-associated molecular patterns or activation of programmed cell death machinery [23].

2) JAK/STAT Pathway and Associated Cytokines

The JAK/STAT pathway contributes to many cellular processes, including immunity, cell growth, cell death, and differentiation. STAT activation is associated with the formation of various cancers, including melanoma, prostate cancer, non-ABC, and ABC. Researchers led by samples from ABC patients were enriched in CD44\(^+\)/CD24\(^-\) CSCs and activated phosphor-STAT3 (pSTAT3) cells, and 40% of CD44\(^+\)/CD24\(^-\) cells were positive for pSTAT3, suggesting STAT pathway activation in ABC CSCs. They also demonstrated that the inhibition of JAK2 reduced the proliferation and tumor growth of pSTAT3\(^+\) ABC cells in vitro and in vivo [224].

Therefore, the researchers further showed that inhibiting the recruitment of TAMs decreased pSTAT3 expression and IL-6 secretion within the TME, leading to delayed ABC tumor formation and reduced local recurrence [25]. These results demonstrated that IL-6 mediates the tumor-promoting influences of the ABC TME. Importantly, phosphorylated STAT3 (pSTAT3) is particularly abundant on the leading edge of tumors and in surrounding lymphocytes and stromal cells, suggesting a role in invasion and metastasis. Constitutive activation of STAT3 has also been shown to accelerate tumor progression and increase the metastatic potential in HER2-positive breast cancers. A retrospective study conducted by Di Bonito M. et colleagues [6] serum IL-6 concentrations are not only increased in more than half of all breast cancer patients but are also significantly higher in ABC patients compared to non-ABC patients. Similar to other solid malignancies, elevated IL-6 expression in breast cancer positively correlates with increased tumor stage, lymph node involvement, and recurrence risk. They were observed that failure of HER2 and other-directed therapies coincides with IL-6-mediated activation of STAT3. IL-6-dependent activation of the JAK2/STAT3 has shown promise as a therapeutic target for hormone receptor-negative and HER2-positive breast cancers, as these subtypes produce higher levels of IL-6 [26]. This signaling cascade was found to be prevalent for the viability of the ABC SUM-190 cell line [27].

3) COX Pathway

Levels of COX enzymes are increased within 40% of breast cancers, while prostaglandin E2, the main product catalysed by COX-2, is produced at high levels in various human breast cancer cell lines. Expression of COX-2 has been confirmed in 13 breast cancer cell lines by qRT-PCR, with no detection in normal breast tissue [28]. COX-2 expression also correlates with poor prognostic indicators, such as increased tumor size, axillary node and distant metastasis, tumor grade, high-proliferation rates, receptor-negative disease, and HER2 amplification [29]. The molecular ABC signature defined by Fernandez and colleagues [10] suggested elevated COX-2 expression in IBC compared to non-ABC tumors, which was also reflected by more abundant prostaglandin E2 in primary ABC tumors. ABC cell lines also have higher levels of PGE2 and PGF2\(\alpha\), two enzymatic products of COX-2, than do non-IBC cell lines. High COX-2 expression correlates with worse OS and higher nuclear grade in ABC patients. In addition, the COX-2 pathway contributes to invasiveness and the CSC population in ABC. COX-2 is functionally linked to other signaling pathways as a key inflammatory molecule in ABC. It is worth noting that the COX-2 pathway has emerging roles in modulating the tumor immune microenvironment. COX-2-derived PGE2 has been shown to mediate the crosstalk between colonic tumor cells and macrophages [30].

D. Tumor-Associated Macrophages/Monocytes

Tumor-associated macrophages (TAMs) produce and secrete high levels of inflammatory mediators that promote the survival and proliferation of neoplastic cells and antagonize the antitumor activity of CD8-positive T cells. Wolfe and colleagues [31] described the accumulation of CD68-positive macrophages in the normal tissue surrounding ABC lesions. TAMs also contribute to the chemoresistance and relapses of ABC cells via releasing mediators of invasion and angiogenesis, including TNF, IL-6, IL-8, and IL-10. The expression of these cytokines is significantly higher in CD14-positive tumor-infiltrating monocytes of ABC patients than in those from non-ABC patients [32].

E. Tumor-Infiltrating Lymphocytes

The presence of tumor-infiltrating lymphocytes and, in particular, the proportion of functional cytotoxic CD8-positive T cells have been suggested to predict patient response to immune checkpoint treatment. In contrast, exhausted T cells with poor effector function are typically associated with the expression of programmed death-ligand 1 (PD-L1) and other immune checkpoint inhibitors on tumor cells and/or tumor-infiltrating lymphocytes. Thus, high PD-L1 expression may negatively regulate T cells, thus preventing the activation and migration of CD8-positive T cells into ABC tumors [33].

IHC staining identified aggregates of CD8-positive T cells as major subpopulations associated with intra-tumoral and peritumoral desmoplastic stroma in approximately half of ABC tumors analyzed, with low density of single-spread cells across other samples [34]. However, these tumors stained minimally for the regulatory T cell marker FoxP3, while tumor-associated staining of the immune checkpoint regulator PD-L1 varied greatly. Not surprisingly, the same authors observed a positive correlation between the extent of CD8-positive T cell infiltration and mutation rate as a predictor of the variability of neoantigen, which in turn correlated with the presence of several mutations in gene-encoding DNA mismatch repair genes [35].

F. ABC and Diabetes Mellitus

In advanced breast cancer, the p53 gene mutation is observed mainly in tumors with plasma glucose levels above 10.0 mmol/l. The data obtained indicate that mutations in the p53 gene are observed with a significantly higher frequency in the presence of microsatellite instability in the loci of chromosomes responsible for post-replication repair. In these tumors, despite the preserved ability to restore chromosomal breakdowns, the emergence and further development of the tumor are associated with another mechanism of carcinogenesis – mutations in the "genome guard" p53 gene – with a subsequent conformational change in the quaternary structure of the protein and loss of its control function and subsequent violation of apoptosis. It is known that the tumor growth rate is one of the most essential integral indicators of the features of its clinical course. It should be understood that the growth rate is determined by the balance between the activity of proliferative processes with plasma glucose level (is an aggravating factor) on the one hand and apoptosis on the other [36].

2. Discussion

Narod et al. [37] correctly identify diagnosis—defined as "the probability that a tumor, if left unattended, would not become clinically apparent or cause death" and largely a consequence of screening—as a relevant issue. This review attempts to check for differences in the carcinogenic pathways of ABC (the multimutational model of carcinogenesis) to determine the level of disease aggression and possible ways to target cancer cells of ABC patients by influencing specific pathways. Thus, we understand the diversity of developmental forms of ABC, in which inflammatory factors (multiple inflammatory signaling cascades have been identified as deregulated and overactive within ABC lesions, contributing to the creation of inflammatory loops between cancer cells of ABC and the cells of the surrounding tumor microenvironment). No full controls received chemotherapy. The risk of chemoresistance to breast cancer and recurrence development was approximately the same. Biomarkers will likely be identified in the future that can better predict cancer chemoresistance and recurrence, but this possibility does not negate the validity of the present observations.

3. Conclusions and Perspective

The cause of breast cancer chemoresistance and recurrence and possible strategies to prevent it remain elusive. There is an urgent need to decipher the complex relationship between the individual components that lead to relapse and also to devise effective therapies with minimal toxicity. Talking about complex interrelationships, there is enough evidence to link Molecular Characterization of ABC (the various molecular determinants of tumor recurrence are very intricately connected and inter-regulated, making it difficult to establish a hierarchical sense and plasma glucose level), Inflammation and ABC, NF-\(\kappa\)B Pathway and Associated Cytokines, JAK/STAT Pathway and Associated Cytokines, COX Pathway, Tumor-Associated Macrophages/Monocytes, Tumor-Infiltrating Lymphocytes, plasma glucose level above 10.0 mmol/l. All these hot spots of cellular/physiological events were observed in chemoresistance and recurrent breast cancers. Although individual reports have verified the existence of one or more of these, it is essential to note that we are far from determining the causal reason for breast cancer chemoresistance and recurrence.

With the intricate relationship between these factors, it will always be difficult to guess which one comes first. A factor that has severely hindered our progress in this field is the absence of an acceptable model for studying tumor relapses. For a meaningful study, promoting healthy collaboration between basic scientists and clinical researchers is crucial. Breast cancer chemoresistance and recurrence is too complex a problem to be fully understood only through laboratory investigations or clinical observations. Essential to our understanding of ABC as a disease is the creation of further preclinical models, which will allow us to more confidently explore and confirm whether inflammatory processes contribute to ABC’s progression more than in an ABC-free environment. The presence of MSI is somehow associated with hyperglycemia and is an aggravating factor in the course of advanced breast cancer with a poorer response to a specific therapy. The wealth of literature accumulated in recent years is a good start. These observations suggest that, in the context of chemoresistance and relapses, they are as advanced as their invasive counterpart. We tried to look for and find a much higher overall risk of breast cancer chemoresistance and recurrence after an ABC diagnosis.

Conflict of interest

The authors declare no conflict of interests. All authors read and approved final version of the paper.

Authors Contribution

All authors contributed equally in this paper.

References

  1. Aguilera, T. A., Rafat, M., Castellini, L., Shehade, H., Kariolis, M. S., Hui, A. B. Y., ... & Giaccia, A. J. (2016). Reprogramming the immunological microenvironment through radiation and targeting Axl. Nature Communications, 7(1), 1-14.
  2. Preda, M., Ilina, R., Potre, O., Potre, C., & Mazilu, O. (2020). Survival analysis of patients with inflammatory breast cancer in relation to clinical and histopathological characteristics. Cancer Management and Research, 12447-12455.
  3. Ueno, N. T., Fernandez, J. R. E., Cristofanilli, M., Overmoyer, B., Rea, D., Berdichevski, F., ... & Woodward, W. A. (2018). International Consensus on the Clinical Management of Inflammatory Breast Cancer from the Morgan Welch Inflammatory Breast Cancer Research Program 10th Anniversary Conference. Journal of Cancer, 9(8), 1437-1447.
  4. Miricescu, D., Totan, A., Stanescu-Spinu, I. I., Badoiu, S. C., Stefani, C., & Greabu, M. (2020). PI3K/AKT/mTOR signaling pathway in breast cancer: from molecular landscape to clinical aspects. International Journal of Molecular Sciences, 22(1), 173.
  5. Wang, X., Semba, T., Phi, L. T. H., Chainitikun, S., Iwase, T., Lim, B., & Ueno, N. T. (2020). Targeting signaling pathways in inflammatory breast cancer. Cancers, 12(9), 2479-2487.
  6. Di Bonito, M., Cantile, M., & Botti, G. (2019). Pathological and molecular characteristics of inflammatory breast cancer. Translational Cancer Research, 8(Suppl 5), 449-456.
  7. Liu, Y., Song, Y., Ye, M., Hu, X., Wang, Z. P., & Zhu, X. (2019). The emerging role of WISP proteins in tumorigenesis and cancer therapy. Journal of Translational Medicine, 17, 1-14.
  8. Morrow, R. J., Etemadi, N., Yeo, B., & Ernst, M. (2017). Challenging a Misnomer? The Role of Inflammatory Pathways in Inflammatory Breast Cancer. Mediators of Inflammation, 2017, 4754827-4754827.
  9. Movchan, O. V., Bagmut, I. Y., Sheremet, M. I., Sukhanova, L. A., Kolisnyk, I. L., Bagmut, O. V., ... & Lazaruk, O. V. (2023). Prognostic value of the level of expression of cell wall proteins and cytokines during inflammation in tumor tissue culture in patients with type 2 diabetes mellitus. Romanian Journal of Diabetes Nutrition and Metabolic Diseases, 30(1), 34-41.
  10. Fernandez, S. V., MacFarlane, A. W., Jillab, M., Arisi, M. F., Yearley, J., Annamalai, L., ... & Campbell, K. S. (2020). Immune phenotype of patients with stage IV metastatic inflammatory breast cancer. Breast Cancer Research, 22(1), 1-16.
  11. Amrith, B. P., Jain, P., Chaudhari, K. A., Sharma, M., & Batra, U. (2019). Severe hypoglycemia with trastuzumab: An unseen adverse event. South Asian Journal of Cancer, 8(03), 149-149.
  12. Fumagalli, C., Ranghiero, A., Gandini, S., Corso, F., Taormina, S., De Camilli, E., ... & Barberis, M. (2020). Inter-tumor genomic heterogeneity of breast cancers: comprehensive genomic profile of primary early breast cancers and relapses. Breast Cancer Research, 22(1), 1-11.
  13. Gallagher, A. (2020). A 26-Year Study Highlights Invasive Breast Cancer Recurrence After treatment. Oncology Times, 42(20), 28-35.
  14. Mussbacher, M., Salzmann, M., Brostjan, C., Hoesel, B., Schoergenhofer, C., Datler, H., ... & Schmid, J. A. (2019). Cell Type-Specific Roles of NF-κB Linking Inflammation and Thrombosis. Frontiers in Immunology, 10, 85-85.
  15. Mahmoud, M., Abdel-Rasheed, M., Galal, E. R., & El-Awady, R. R. (2024). Factors defining human adipose stem/stromal cell immunomodulation in vitro. Stem Cell Reviews and Reports, 20(1), 175-205.
  16. Yan, S., Vandewalle, N., De Beule, N., Faict, S., Maes, K., De Bruyne, E., ... & De Veirman, K. (2019). AXL receptor tyrosine kinase as a therapeutic target in hematological malignancies: Focus on multiple myeloma. Cancers, 11(11), 1727.
  17. Yang, P. D., Peng, Q. Q., Lian, W. B., Fu, F. M., Wang, C., & Chen, D. (2022). Validation of the Eighth American Joint Committee on Cancer Anatomic and Prognostic Staging System for Breast Cancer. Journal of Surgical Research, 270, 539-546.
  18. Zhou, Y., Cui, C., Ma, X., Luo, W., Zheng, S. G., & Qiu, W. (2020). Nuclear factor κB (NF-κB)–mediated inflammation in multiple sclerosis. Frontiers in Immunology, 11, 391-391.
  19. Czauderna, C., Castven, D., Mahn, F. L., & Marquardt, J. U. (2019). Context-dependent role of NF-κB signaling in primary liver cancer—from tumor development to therapeutic implications. Cancers, 11(8), 1053.
  20. Fliegauf, M., Bryant, V. L., Frede, N., Slade, C., Woon, S. T., Lehnert, K., ... & Grimbacher, B. (2015). Haploinsufficiency of the NF-κB1 subunit p50 in common variable immunodeficiency. The American Journal of Human Genetics, 97(3), 389-403.
  21. Lei, M. M. L., & Lee, T. K. W. (2021). Cancer stem cells: Emerging key players in immune evasion of cancers. Frontiers in Cell and Developmental Biology, 9, 692940.
  22. Lee, J., Liu, H., Pearson, T., Iwase, T., Fuson, J., Lalani, A. S., ... & Ueno, N. T. (2021). PI3K and MAPK pathways as targets for combination with the pan-HER irreversible inhibitor Neratinib in HER2-positive breast cancer and TNBC by kinome RNAi screening. Biomedicines, 9(7), 740.
  23. Acevedo-Díaz, A., Morales-Cabán, B. M., Zayas-Santiago, A., Martínez-Montemayor, M. M., & Suárez-Arroyo, I. J. (2022). SCAMP3 Regulates EGFR and Promotes Proliferation and Migration of Triple-Negative Breast Cancer Cells through the Modulation of AKT, ERK, and STAT3 Signaling Pathways. Cancers, 14(11), 2807-2817.
  24. Ruxolitinib W/ Preop Chemo For Triple Negative Inflammatory Brca. ClinicalTrials.gov.
  25. Hibino, S., Kawazoe, T., Kasahara, H., Itoh, S., Ishimoto, T., Sakata-Yanagimoto, M., & Taniguchi, K. (2021). Inflammation-induced tumorigenesis and metastasis. International Journal of Molecular Sciences, 22(11), 5421.
  26. Hidalgo-Estévez, A. M., Stamatakis, K., Jiménez-Martínez, M., López-Pérez, R., & Fresno, M. (2020). Cyclooxygenase 2-Regulated Genes an Alternative Avenue to the Development of New Therapeutic Drugs for Colorectal Cancer. Frontiers in Pharmacology, 11, 533-533.
  27. Quail, D. F., & Joyce, J. A. (2013). Microenvironmental regulation of tumor progression and metastasis. Nature Medicine, 19(11), 1423-1437.
  28. Reyes, M. E. (2014). Targeting Cox-2 And Rank In Aggressive Breast Cancers: Inflammatory Breast Cancer And Triple-Negative Breast Cancer.
  29. Wolfe, A. R., Trenton, N. J., Debeb, B. G., Larson, R., Ruffell, B., Chu, K., ... & Woodward, W. A. (2016). Mesenchymal stem cells and macrophages interact through IL-6 to promote inflammatory breast cancer in pre-clinical models. Oncotarget, 7(50), 82482-82492.
  30. Shihab, I., Khalil, B. A., Elemam, N. M., Hachim, I. Y., Hachim, M. Y., Hamoudi, R. A., & Maghazachi, A. A. (2020). Understanding the role of innate immune cells and identifying genes in breast cancer microenvironment. Cancers, 12(8), 2226-2235.
  31. Jiao, D., Zhang, J., Zhu, J., Guo, X., Yang, Y., Xiao, H., & Liu, Z. (2021). Comparison of survival in non-metastatic inflammatory and other T4 breast cancers: a SEER population-based analysis. BMC Cancer, 21, 1-7.
  32. Johnson, A. M., Kleczko, E. K., & Nemenoff, R. A. (2020). Eicosanoids in cancer: new roles in immunoregulation. Frontiers in Pharmacology, 11, 595498.
  33. Heeren, A. M., Rotman, J., Stam, A. G. M., Pocorni, N., Gassama, A. A., Samuels, S., ... & de Gruijl, T. D. (2019). Efficacy of PD-1 blockade in cervical cancer is related to a CD8+ FoxP3+ CD25+ T-cell subset with operational effector functions despite high immune checkpoint levels. Journal for Immunotherapy of Cancer, 7, 1-14.
  34. Matsuda, N., Wang, X., Lim, B., Krishnamurthy, S., Alvarez, R. H., Willey, J. S., ... & Ueno, N. T. (2018). Safety and efficacy of panitumumab plus neoadjuvant chemotherapy in patients with primary HER2-negative inflammatory breast cancer. JAMA Oncology, 4(9), 1207-1213.
  35. Oh, D. Y., Kwek, S. S., Raju, S. S., Li, T., McCarthy, E., Chow, E., ... & Fong, L. (2020). Intratumoral CD4+ T cells mediate anti-tumor cytotoxicity in human bladder cancer. Cell, 181(7), 1612-1625.
  36. Sheremet, M. I., Yuriivna, B. I., Volodimirovich, M. O., Ivanovich, S. I., Oleksandrovich, L. A., Viktorivna, D. I., ... & Leonidovich, K. I. (2022). Characteristics of certain genetical and biological properties of carcinogenesis in the development of inflammatory breast cancer with type 2 diabetes mellitus and tumor relapse. Romanian Journal of Diabetes Nutrition and Metabolic Diseases, 29(2), 245-252.
  37. Narod, S. A., & Rakovitch, E. (2014). A comparison of the risks of in-breast recurrence after a diagnosis of DCIS or early invasive breast cancer. Current Oncology, 21(3), 119-124.
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