Inflammation is a well-known driver of carcinogenesis and cancer progression, often attributed to the tumor microenvironment. However, tumor cells themselves are capable of secreting a variety of inflammatory molecules, leading to the activation of specific signaling pathways that promote tumor progression. The NF-kappa B signaling pathway is one of the most important connections between inflammation and tumorigenesis. NF-kappa B is a superfamily of transcription factors that plays an important role in several types of hematological and solid tumors, including breast cancer. However, the role of the NF-kappa B pathway in the survival of breast cancer patients is poorly studied. In this study, we analyzed and related the expression of both canonical and alternative NF-kappa B pathways and selected target genes with the relapse-free and overall survival of breast cancer patients. We used the public database Kaplan-Meier plotter (KMplot) which includes gene expression data and survival information of 3951 breast cancer patients. We found that the expression of IKK alpha was associated with poor relapse-free survival in patients with ER-positive tumors. Moreover, the expression of IL-8 and MMP-I was associated with poor relapse-free and overall survival. In contrast, expression of IKK beta, p50, and p65 from the canonical pathway, and NIK and RELB from the alternative pathway correlated with better relapse-free survival also when the patients were classified by their hormonal and nodal status. Our study suggests that the expression of genes of the canonical and alternative NF-kappa B pathways is ultimately critical for tumor persistence. Understanding the communication between both pathways would help to find better therapeutic and prophylactic targets to prevent breast cancer progression and relapse.
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Osaka Univ, Ctr Math Modeling & Data Sci, Osaka 5650871, JapanOsaka Univ, Ctr Math Modeling & Data Sci, Osaka 5650871, Japan
Umegaki, Toshihito
Hatanaka, Naoya
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Vis Consulting Inc, Consulting Div, Consulting & IT Business Dept, Tokyo 1066139, JapanOsaka Univ, Ctr Math Modeling & Data Sci, Osaka 5650871, Japan
Hatanaka, Naoya
Suzuki, Takashi
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Osaka Univ, Ctr Math Modeling & Data Sci, Osaka 5650871, JapanOsaka Univ, Ctr Math Modeling & Data Sci, Osaka 5650871, Japan
机构:
Hosp Mar, Res Inst, IMIM, Canc Res Program, Barcelona 08003, Spain
Hosp Mar, Dept Med Oncol, Barcelona 08003, SpainFdn Jimenez Diaz, Dept Pathol, IIS, E-28040 Madrid, Spain
Sabbaghi, MohammadA
Gonzalez-Navarrete, Irene
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Hosp Mar, Res Inst, IMIM, Canc Res Program, Barcelona 08003, SpainFdn Jimenez Diaz, Dept Pathol, IIS, E-28040 Madrid, Spain
机构:
Hosp Mar, Res Inst, IMIM, Canc Res Program, Barcelona 08003, Spain
Hosp Mar, Dept Med Oncol, Barcelona 08003, SpainFdn Jimenez Diaz, Dept Pathol, IIS, E-28040 Madrid, Spain
Servitja, Sonia
Tusquets, Ignasi
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Hosp Mar, Res Inst, IMIM, Canc Res Program, Barcelona 08003, Spain
Hosp Mar, Dept Med Oncol, Barcelona 08003, SpainFdn Jimenez Diaz, Dept Pathol, IIS, E-28040 Madrid, Spain
Tusquets, Ignasi
Albanell, Joan
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Hosp Mar, Res Inst, IMIM, Canc Res Program, Barcelona 08003, Spain
Hosp Mar, Dept Med Oncol, Barcelona 08003, Spain
Univ Pompeu Fabra, Barcelona 08002, SpainFdn Jimenez Diaz, Dept Pathol, IIS, E-28040 Madrid, Spain
机构:
Hosp Mar, Res Inst, IMIM, Canc Res Program, Barcelona 08003, Spain
Hosp Mar, Dept Med Oncol, Barcelona 08003, SpainFdn Jimenez Diaz, Dept Pathol, IIS, E-28040 Madrid, Spain
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VIT Univ, Sch Bio Sci & Technol, Bioinformat Div, Vellore 632014, Tamil Nadu, IndiaVIT Univ, Sch Bio Sci & Technol, Bioinformat Div, Vellore 632014, Tamil Nadu, India
Ghosh, Sayantan
Dass, J. Febin Prabhu
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VIT Univ, Sch Bio Sci & Technol, Bioinformat Div, Vellore 632014, Tamil Nadu, IndiaVIT Univ, Sch Bio Sci & Technol, Bioinformat Div, Vellore 632014, Tamil Nadu, India