Comprehensive Analysis of the Expression and Prognostic Value of SPINT1/2 in Breast Carcinoma

Wu, Qi; Yin, Guang; Zhang, Yingzi; Ai, Tiantian; Tian, Jiao; Jin, Yudi; Lei, Jinwei; Liu, Shengchun

doi:10.3389/fendo.2021.665666

Cited by 8 publications

(7 citation statements)

References 55 publications

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“…SPINT2 showed various expression patterns in tumors. In other studies related to breast cancer, results that contradicted the results of this study were reported, and other tumor-related studies (liver, renal, gastric, cervical, prostate cancer, and medulloblastoma) showed that SPINT2 expression was downregulated [ 29 , 30 , 31 , 32 ]. However, studies related to other tumors, including breast cancer, were insufficient overall.…”

Section: Discussioncontrasting

confidence: 97%

Discovering Breast Cancer Biomarkers Candidates through mRNA Expression Analysis Based on The Cancer Genome Atlas Database

Kim

Lee

2022

JPM

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Background: Research on the discovery of tumor biomarkers based on big data analysis is actively being conducted. This study aimed to secure foundational data for identifying new biomarkers of breast cancer via breast cancer datasets in The Cancer Genome Atlas (TCGA). Methods: The mRNA profiles of 526 breast cancer and 60 adjacent non-cancerous breast tissues collected from TCGA datasets were analyzed via MultiExperiment Viewer and GraphPad Prism. Diagnostic performance was analyzed by identifying the pathological grades of the selected differentially expressed (DE) mRNAs and the expression patterns of molecular subtypes. Results: Via DE mRNA profile analysis, we selected 14 mRNAs with downregulated expression (HADH, CPN2, ADAM33, TDRD10, SNF1LK2, HBA2, KCNIP2, EPB42, PYGM, CEP68, ING3, EMCN, SYF2, and DTWD1) and six mRNAs with upregulated expression (ZNF8, TOMM40, EVPL, EPN3, AP1M2, and SPINT2) in breast cancer tissues compared to that in non-cancerous tissues (p < 0.001). Conclusions: In total, 20 DE mRNAs had an area under cover of 0.9 or higher, demonstrating excellent diagnostic performance in breast cancer. Therefore, the results of this study will provide foundational data for planning preliminary studies to identify new tumor biomarkers.

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Section: Discussioncontrasting

confidence: 97%

Discovering Breast Cancer Biomarkers Candidates through mRNA Expression Analysis Based on The Cancer Genome Atlas Database

Kim

Lee

2022

JPM

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“…SPINT2 plays an important role in the generation and development of a variety of tumors, including breast cancer, and its expression is upregulated in breast cancer, and is related to HER-2 expression and lymph node positivity. High expression of SPINT2 is related to the prognosis of breast cancer [29]. Further bioinformatics displays are involved in cell attachment and metastasis.…”

Section: Discussionmentioning

confidence: 99%

Transcriptomic and proteomic analysis of the mechanisms underlying the role of the CCT3 gene in breast cancer

Wang

et al. 2023

Preprint

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Background Breast cancer has surpassed lung cancer as the most common cancer in the world. Our previous research showed that silencing the expression of the CCT3 gene significantly decreased the proliferation and metastasis of breast cancer cells, but the mechanism is still unclear. In this study, we investigated CCT3 gene and protein expression by transcriptomics and proteomics to explore the mechanism underlying its function. Methods MDA-MB-231 cells were transfected with CCT3-siRNA to knock down the expression of the CCT3 gene. qRT‒PCR was used to measure the efficiency of the suppression. We used RNA-seq and tandem mass tag proteomics analysis to identify differentially expressed genes and proteins, respectively. The possible biological consequences were determined by bioinformatics analysis. Results The mRNA expression of CCT3 decreased by 87.6% in MDA-MB-231 cells transfected with shCCT3 lentivirus. RNA-seq identified 449 differentially expressed genes after transfection with shCCT3, including 240 upregulated genes and 209 downregulated genes, and 61 differentially expressed proteins (33 upregulated and 28 downregulated) were identified by TMT proteomics analysis. GO and KEGG enrichment revealed the biological and molecular functions in CCT3-knockdown cells. Conjoint analysis revealed the expression of several genes and proteins, such as RPUSD4, LUC7L3, HELLS, ARL1, and SPINT2. Conclusions We explored the molecular mechanism by which the proliferation and metastasis of breast cancer cells are promoted after the expression of CCT3 is inhibited through transcriptomics and proteomics, and we initially identified several key genes and proteins. The functional verification of these genes requires further research.

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“…We extracted genes that were upregulated and whose expression overlapped between the T and N stages; it is thought that genes related to tumor size, cell proliferation, and higher stage were highly expressed in the HER2-positive type. HSPB1 is frequently upregulated in BC [ 36 ], wherein it promotes cancer cell growth and metastasis by inducing the SUMOylation of HSPB8 and increasing its expression [ 37 ], and SPINT1 was highly expressed in the HER2-positive type, with a relatively high rate in node-positive patients [ 38 ]. The results of these previous studies are consistent with those of the present study.…”

Section: Discussionmentioning

confidence: 99%

In Silico Identification of Genes Associated with Breast Cancer Progression and Prognosis and Novel Therapeutic Targets

Uchida

Sugino

2022

Biomedicines

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Molecular mechanisms underlying breast cancer (BC) progression are complex and remain unclear. In this study, we used bioinformatic tools to identify genes associated with tumor progression mechanisms and novel therapeutic targets in BC. We identified genes with stepwise upregulated expression overlapping between the T and N stages during BC progression using LinkedOmics. We compared the expression level of each gene in BC tissues with that in normal breast tissues and evaluated differences in expression in their intrinsic subtypes and their prognostic value using UALCAN and GEPIA2. We also investigated the dependency of BC cell lines on these genes and whether they are potential therapeutic targets using DepMap. SPDEF, TRIM3, ABCB9, HSPB1, RHBG, SPINT1, EPN3, LRFN2, and PRPH were found to be involved in BC progression. High expression of ABCB9 and SPINT1 was associated with a poor prognosis. SPDEF, TRIM3, ABCB9, RHBG, SPINT1, and PRPH were found to be essential for survival in some BC cell lines (gene effect score < −0.5). PRPH was newly discovered to be involved in the progression of BC and the growth and survival of BC cell lines. Hence, SPDEF, TRIM3, ABCB9, RHBG, SPINT1, and PRPH may serve as novel potential therapeutic targets in BC.

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Comprehensive Analysis of the Expression and Prognostic Value of SPINT1/2 in Breast Carcinoma

Cited by 8 publications

References 55 publications

Discovering Breast Cancer Biomarkers Candidates through mRNA Expression Analysis Based on The Cancer Genome Atlas Database

Discovering Breast Cancer Biomarkers Candidates through mRNA Expression Analysis Based on The Cancer Genome Atlas Database

Transcriptomic and proteomic analysis of the mechanisms underlying the role of the CCT3 gene in breast cancer

In Silico Identification of Genes Associated with Breast Cancer Progression and Prognosis and Novel Therapeutic Targets

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