A Systematic Study on Zinc-Related Metabolism in Breast Cancer

Qu, Zheng; Liu, Qiang; Kong, Xiangyi; Wang, Xiangyu; Wang, Zhongzhao; Wang, Jing; Fang, Yi

doi:10.3390/nu15071703

Cited by 4 publications

(3 citation statements)

References 138 publications

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“…Zn is an important trace element in the body and is involved in regulating numerous cellular metabolic processes. Abnormal Zn metabolism can lead to the development and progression of BC ( 11 ). However, studies on the prognostic value of genes related to Zn metabolism in BC have not yet been reported.…”

Section: Discussionmentioning

confidence: 99%

A zinc metabolism-related gene signature for predicting prognosis and characteristics of breast cancer

Hong,

Li,

Chen

et al. 2024

Front. Immunol.

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BackgroundBreast cancer is one of the most serious and prevalent malignancies. Zinc is commonly known to play a crucial role in the development and progression of breast cancer; however, the detailed mechanisms underlying this role are not well understood. This study aimed to develop a zinc metabolism-related gene (ZMRG) signature based on a multi-database study to predict patient prognosis and investigate the relationship between drug therapy response and immune enrichment.MethodsData for breast cancer samples from The Cancer Genome Atlas and Gene Expression Omnibus databases were screened for zinc metabolism-related genes using the Molecular Signature Database. Cox and Least Absolute Shrinkage and Selection Operator regressions were performed to construct a ZMRG signature. To assess the predictive performance of the gene signature, Kaplan–Meier analysis and receiver operating characteristic curves were used. Additionally, we utilised single-sample gene set enrichment analysis, the Tumour Immune Estimation Resource, the Genomics of Drug Sensitivity in Cancer database, and the Cancer Therapeutics Response Portal to investigate the association between the tumour microenvironment and drug sensitivity. Quantitative PCR was used to assess the expression of each gene in the signature in breast cancer cell lines and patient samples.ResultsFive ZMRGs were identified (ATP7B, BGLAP, P2RX4, SLC39A11, and TH) and a risk profile was constructed for each. Two risk groups, high- and low-risk, were identified in this way, and the high-risk score subgroups were found to have worse prognosis. This risk profile was validated using the GSE42568 dataset. Tumour microenvironment and drug sensitivity analyses showed that the expression of these five ZMRGs was significantly associated with immune response. The high-risk group showed substantial immune cell infiltration and enrichment of immune pathways, and patients were more sensitive to drugs commonly used in breast cancer.ConclusionThe ZMRG signature represents a new prognostic predictor for patients with breast cancer, and may also provide new insights into individualised treatment of breast cancer.

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Section: Discussionmentioning

confidence: 99%

A zinc metabolism-related gene signature for predicting prognosis and characteristics of breast cancer

Hong,

Li,

Chen

et al. 2024

Front. Immunol.

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“…As a result, it has been observed that a high expression of ZIP6 is considered a trustworthy indicator of luminal A subtypes in breast cancer. Moreover, ZIP6 expression is a predictor of tumor stage and grade and has a major impact on the biological activity of breast cancer cells [187][188][189][190]. Furthermore, cancer progression and metastasis can be accelerated by the impairment of MMPs, especially MMP2 and MMP9, which are a subgroup of Zn-dependent MMPs.…”

Section: Zincmentioning

confidence: 99%

“…Furthermore, cancer progression and metastasis can be accelerated by the impairment of MMPs, especially MMP2 and MMP9, which are a subgroup of Zn-dependent MMPs. Several studies reported EMT stimulation and the accelerated expansion of tumors due to increased MMP activity [188,191]. Holanda et al reported the direct as well as indirect role of MMPs in tumor growth.…”

Section: Zincmentioning

confidence: 99%

Micronutrient Status and Breast Cancer: A Narrative Review

Forma,

Grunwald,

Zembala

et al. 2024

IJMS

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Breast cancer is one of the most common cancers worldwide, at the same time being one of the most prevalent causes of women’s death. Many factors such as alcohol, weight fluctuations, or hormonal replacement therapy can potentially contribute to breast cancer development and progression. Another important factor in breast cancer onset includes micronutrient status. In this narrative review, we analyzed 23 micronutrients and their possible influence on breast cancer onset and progression. Further, the aim of this study was to investigate the impact of micronutrient status on the prevention of breast cancer and its possible influence on various therapeutic pathways. We researched meta-analyses, systemic and narrative reviews, retrospective studies, as well as original studies on human and animal models. The results of these studies indicate a possible correlation between the different levels of micronutrients and a decreased risk of breast cancer as well as a better survival rate. However, further studies are necessary to establish adequate doses of supplementation of the chosen micronutrients and the exact mechanisms of micronutrient impact on breast cancer therapy.

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Integrating iron metabolism-related gene signature to evaluate prognosis and immune infiltration in nasopharyngeal carcinoma

Su,

Zhong,

Qin

et al. 2024

Discov Onc

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Background Dysregulation of iron metabolism has been shown to have significant implications for cancer development. We aimed to investigate the prognostic and immunological significance of iron metabolism-related genes (IMRGs) in nasopharyngeal carcinoma (NPC). Methods Multiple Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets were analyzed to identify key IMRGs associated with prognosis. Additionally, the immunological significance of IMRGs was explored. Results A novel risk model was established using the LASSO regression algorithm, incorporating three genes (TFRC, SLC39A14, and ATP6V0D1).This model categorized patients into low and high-risk groups, and Kaplan–Meier analysis revealed significantly shorter progression-free survival for the high-risk group (P < 0.0001). The prognostic model’s accuracy was additionally confirmed by employing time-dependent Receiver Operating Characteristic (ROC) curves and conducting Decision Curve Analysis (DCA). High-risk patients were found to correlate with advanced clinical stages, specific tumor microenvironment subtypes, and distinct morphologies. ESTIMATE analysis demonstrated a significant inverse relationship between increased immune, stromal, and ESTIMATE scores and lowered risk score. Immune analysis indicated a negative correlation between high-risk score and the abundance of most tumor-infiltrating immune cells, including dendritic cells, CD8+ T cells, CD4+ T cells, and B cells. This correlation extended to immune checkpoint genes such as PDCD1, CTLA4, TIGIT, LAG3, and BTLA. The protein expression patterns of selected genes in clinical NPC samples were validated through immunohistochemistry. Conclusion This study presents a prognostic model utilizing IMRGs in NPC, which could assist in assessing patient prognosis and provide insights into new therapeutic targets for NPC.

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A Systematic Study on Zinc-Related Metabolism in Breast Cancer

Cited by 4 publications

References 138 publications

A zinc metabolism-related gene signature for predicting prognosis and characteristics of breast cancer

A zinc metabolism-related gene signature for predicting prognosis and characteristics of breast cancer

Micronutrient Status and Breast Cancer: A Narrative Review

Integrating iron metabolism-related gene signature to evaluate prognosis and immune infiltration in nasopharyngeal carcinoma

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