Comprehensive analysis of the expression of SLC30A family genes and prognosis in human gastric cancer

Guo, Yongdong; He, Yutong

doi:10.1038/s41598-020-75012-w

Cited by 19 publications

(19 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SLC30 family genes, consisting of 10 members (SLC30A1-10), regulated zinc levels in human cells. Guo et al demonstrated that SLC30 family genes engaged in the regulation of the immune microenvironment in gastric cancer [8]. In particular, SLC30A2 and SLC30A3 may play a pro-metastatic role directly [8].…”

Section: Discussionmentioning

confidence: 99%

“…Guo et al demonstrated that SLC30 family genes engaged in the regulation of the immune microenvironment in gastric cancer [8]. In particular, SLC30A2 and SLC30A3 may play a pro-metastatic role directly [8]. Moreover, Henshall et al showed that the expression of SLC30A4 was elevated in prostate cancer compared to paracancerous tissue and the expression of SLC30A4 in prostate cancer was negatively correlated with the immunoreactivity intensity [11].…”

Section: Discussionmentioning

confidence: 99%

“…It has been proposed that SLC30 family genes can be involved in regulating the malignant biological behavior in a variety of cancer cells. For example, Guo et al noted that SLC30A5 and SLC30A7 were highly expressed in gastric cancer compared to paracancerous tissues and SLC30A5-7 can be used as a diagnostic and prognostic indicator for gastric cancer [8]. In addition, upregulation of SLC30A1 expression in ovarian cancer cells counteracted the apoptotic effects of microRNA-8073 mimics on SKOV3 and OVCAR3 cells, indicating that SLC30A1 has anti-apoptotic effects [9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The correlation and role analysis of SLC30A1 and SLC30A10 in cervical carcinoma

Zhang¹,

Chen²,

Li-sha³

et al. 2022

J. Cancer

View full text Add to dashboard Cite

Background: SLC30 family genes, also known as ZnT family genes, can keep cellular zinc levels within a physiological range by exporting zinc to extracellular space or by isolating zinc in the specific regions of cytoplasm when cellular zinc concentrations are elevated in human cells. There are growing evidences that dysregulated expression of SLC30 family genes can potentially influence tumorigenesis. However, the expression and prognostic value of SLC30 family genes in cervical carcinoma are poorly characterized. Methods: In this study, we used many tools such as UALCAN, Kaplan-Meier Plotter, cBioPortal, LinkedOmics, FunRich, Metascape, GeneMANIA, Open targets and TISIDB to perform bioinformatics analysis of SLC30 family genes in cervical carcinoma. Results: We found that the expression of SLC30A1/7/10 was significantly higher in cervical carcinoma than that in normal matched tissues, while SLC30A2/8 mRNA levels were decreased compared to normal tissues. For tumor stages, SLC30A1, SLC30A7 and SLC30A10 groups significantly varied. And a high expression of SLC30A1, SLC30A6, SLC30A8 and SLC30A10 was associated with worse overall survival in cervical carcinoma patients. Besides, we found that SLC30A1/10 may have a potential regulatory role in immune infiltration in cervical carcinoma. In addition, the results showed that the high expression of SLC30A1 was resistant to 79 drugs or small molecules; Two drugs (Neopeltolide and Tozasertib) can inhibit the high expression of SLC30A10 in cancers. Conclusion: SLC30A1 and SLC30A10 can be recognized as potential diagnostic indicators and therapeutic targets in cervical carcinoma.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The correlation and role analysis of SLC30A1 and SLC30A10 in cervical carcinoma

Zhang¹,

Chen²,

Li-sha³

et al. 2022

J. Cancer

View full text Add to dashboard Cite

show abstract

“…The KEGG analysis showed SLC39A family genes to be involved in the hormone regulation, metabolic pathways, mineral absorption, and chemical carcinogenesis pathways ( Ding et al, 2019 ; Zhou et al, 2021 ). Therefore, the prognostic effect of the SLC39A family genes can be speculated to be closely related to zinc transfer, metabolism, and function ( Guo and He, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Pan-Cancer Analysis of the Solute Carrier Family 39 Genes in Relation to Oncogenic, Immune Infiltrating, and Therapeutic Targets

Guo

Luo

et al. 2021

Front. Genet.

View full text Add to dashboard Cite

Background: Emerging pieces of evidence demonstrated that the solute carrier family 39 (SLC39A) members are critical for the oncogenic and immune infiltrating targets in multiple types of tumors. However, the precise relationship between the SLC39A family genes and clinical prognosis as well as the pan-cancer tumor cell infiltration has not been fully elucidated.Methods: In this study, the pan-cancer expression profile, genetic mutation, prognostic effect, functional enrichment, immune infiltrating, and potential therapeutic targets of the SLC39A family members were investigated by analyzing multiple public databases such as the Oncomine, TIMER, GEPIA, cBioPortal, KM-plotter, PrognoScan, GeneMANIA, STRING, DAVID, TIMER 2.0, and CellMiner databases.Results: The expression levels of most SLC39 family genes in the tumor tissues were found to be significantly upregulated compared to the normal group. In mutation analysis, the mutation frequencies of SLC39A4 and SLC39A1 were found to be higher among all the members (6 and 4%, respectively). Moreover, the overall mutation frequency of the SLC39A family genes ranged from 0.8 to 6% pan-cancer. Also, the function of the SLC39A highly related genes was found to be enriched in functions such as zinc II ion transport across the membrane, steroid hormone biosynthesis, and chemical carcinogenesis. In immune infiltration analysis, the expression level of the SLC39A family genes was found to be notably related to the immune infiltration levels of six types of immune cells in specific types of tumors. In addition, the SLC39A family genes were significantly related to the sensitivity or resistance of 63 antitumor drugs in a variety of tumor cell lines.Conclusion: These results indicate that the SLC39 family genes are significant for determining cancer progression, immune infiltration, and drug sensitivity in multiple cancers. This study, therefore, provides novel insights into the pan-cancer potential targets of the SLC39 family genes.

show abstract

“…An example is that Liu et al [8] generated a prognostic model of autophagy-related genes in nonsmall cell lung cancer. Guo and He [9] analyzed gene expression in the SLC30A family and manifested a likely prognostic marker for gastric cancer. Sui et al [10] generated an immunocyte-related prognosis model that can predict the prognosis of patients effectively and efficacy of chemotherapy by analyzing immunocyte infiltration level in breast cancer.…”

Section: Introductionmentioning

confidence: 99%

Construction and Evaluation of a Tumor Mutation Burden-Related Prognostic Signature for Thyroid Carcinoma

Liu

Chang

et al. 2021

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

Thyroid carcinoma is a type of prevalent cancer. Its prognostic evaluation depends on clinicopathological features. However, such conventional methods are deficient. Based on mRNA, single nucleotide variants (SNV), and clinical information of thyroid carcinoma from The Cancer Genome Atlas (TCGA) database, this study statistically analyzed mutational signature of patients with this disease. Missense mutation and SNV are the most common variant classification and variant type, respectively. Next, tumor mutation burden (TMB) of sample was calculated. Survival status of high/low TMB groups was analyzed, as well as the relationship between TMB and clinicopathological features. Results revealed that patients with high TMB had poor survival status, and TMB was related to several clinicopathological features. Through analysis on DEGs in high/low TMB groups, 381 DEGs were obtained. They were found to be mainly enriched in muscle tissue development through enrichment analysis. Then, through Cox regression analysis, a 5-gene prognostic signature was established, which was then evaluated through survival curves and receiver operation characteristic (ROC) curves. The result showed that the signature was able to effectively predict patient’s prognosis and to serve as an independent prognostic risk factor. Finally, through Gene Set Enrichment Analysis (GSEA) on high/low-risk groups, DEGs were found to be mainly enriched in signaling pathways related to DNA repair. Overall, based on the TCGA-THCA dataset, we constructed a 5-gene prognostic signature through a trail of bioinformatics analysis.

show abstract

Comprehensive analysis of the expression of SLC30A family genes and prognosis in human gastric cancer

Cited by 19 publications

References 56 publications

The correlation and role analysis of SLC30A1 and SLC30A10 in cervical carcinoma

The correlation and role analysis of SLC30A1 and SLC30A10 in cervical carcinoma

Pan-Cancer Analysis of the Solute Carrier Family 39 Genes in Relation to Oncogenic, Immune Infiltrating, and Therapeutic Targets

Construction and Evaluation of a Tumor Mutation Burden-Related Prognostic Signature for Thyroid Carcinoma

Contact Info

Product

Resources

About