Гены Ламининов, Конститутивно И Аномально Метилированные При Раке Молочной Железы

Симонова, О. А.; Кузнецова, Е. Б.; Poddubskaya, Elena; Кекеева, Т. В.; Керимов, Р. А.; Троценко, И Д; Танас, А. С.; Руденко, В. В.; Алексеева, Е. А.; Zaletayev, D. V.; Стрельников, В. В.

doi:10.7868/s0026898415040163

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…Extracellular laminin family members are also involved in tissue differentiation, wound healing, and tumorigenesis. Promoters of laminin family members, especially LAMB5, were described as being unmethylated in normal tissues and prone to abnormal methylation in breast cancer 70 .…”

Section: Discussionmentioning

confidence: 99%

Identified the novel resistant biomarkers for taxane-based therapy for triple-negative breast cancer

Chou¹,

Yu²,

Chang³

et al. 2021

Int. J. Med. Sci.

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Developing treatment strategies for triple-negative breast cancer (TNBC) has become an important clinical challenge. Currently, taxane-based chemotherapy is one of the standard treatments for TNBC. However, determining the key factor of taxane-resistance is urgently in need for clinical treatment for breast cancer. We used GEO data to generate paclitaxel resistance in two basal-like TNBC cell lines (SUM149 and MDA-MB-468). Seventy-one common upregulated differentially expressed genes (DEGs) and 11 downregulated DEGs were found to be related to paclitaxel resistance. By constructing protein-protein interactions, 28 hub proteins with a degree cutoff criterion of ≥1 were found. Nine hub genes ( COL4A6 , COL4A5 , IL6 , PDGFA , LPAR1 , FYB , IL20 , IL18R1 and INHBA ) are involved in important signaling pathways . We found that upregulated PDGFA and downregulated COL4A6 were significantly associated with an insensitive response to neoadjuvant paclitaxel-based therapy. A Kaplan-Meier plot was created to check the prognostic values of 11 hub DEGs in terms of recurrence-free survival. High expressions of PDGFA and LAMB3 were correlated with poor recurrence-free survival, while low levels of FYB , IL18R1 , and RASGRP1 indicated poorer relapse-free survival. Our results suggest that PDGFA , COL4A6 , LPAR1 , FYB , COL4A5 , and RASGRP1 might be candidate target genes for taxane-based therapy in basal-like TNBC.

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Section: Discussionmentioning

confidence: 99%

Identified the novel resistant biomarkers for taxane-based therapy for triple-negative breast cancer

Chou¹,

Yu²,

Chang³

et al. 2021

Int. J. Med. Sci.

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show abstract

“…Meanwhile, enzyme activity and substrate/byproduct accumulation are important in tumor diagnosis and disease-monitoring biomarkers, which implies the future application of GLA [29]. It has been proven that LAMC1 rarely methylated in breast cancer but our result illustrated the role of LAMC1 methylation in GC outcome, which suggests the prognostic significance of LAMC1 as well [30]. Subsequently, gene, proteins interact networks were built and biological functions were analyzed.…”

Section: Discussionmentioning

confidence: 79%

Machine learning to establish three sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with gastric cancer

Yan,

Yu,

et al. 2024

BMC Genomics

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Background Gastric cancer (GC) is one of the most common malignant tumors worldwide. Nevertheless, GC still lacks effective diagnosed and monitoring method and treating targets. This study used multi omics data to explore novel biomarkers and immune therapy targets around sphingolipids metabolism genes (SMGs). Method LASSO regression analysis was performed to filter prognostic and differently expression SMGs among TCGA and GTEx data. Risk score model and Kaplan-Meier were built to validate the prognostic SMG signature and prognostic nomogram was further constructed. The biological functions of SMG signature were annotated via multi omics. The heterogeneity landscape of immune microenvironment in GC was explored. qRT-PCR was performed to validate the expression level of SMG signature. Competing endogenous RNA regulatory network was established to explore the molecular regulatory mechanisms. Result 3-SMGs prognostic signature (GLA, LAMC1, TRAF2) and related nomogram were constructed combing several clinical characterizes. The expression difference and diagnostic value were validated by PCR data. Multi omics data reveals 3-SMG signature affects cell cycle and death via several signaling pathways to regulate GC progression. Overexpression of 3-SMG signature influenced various immune cell infiltration in GC microenvironment. RBP-SMGs-miRNA-mRNAs/lncRNAs regulatory network was built to annotate regulatory system. Conclusion Upregulated 3-SMGs signature are excellent predictive diagnosed and prognostic biomarkers, providing a new perspective for future GC immunotherapy.

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Epigenetic regulation of LINC01270 in breast cancer progression by mediating LAMA2 promoter methylation and MAPK signaling pathway

et al. 2022

Cell Biol Toxicol

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Гены Ламининов, Конститутивно И Аномально Метилированные При Раке Молочной Железы

Cited by 8 publications

References 17 publications

Identified the novel resistant biomarkers for taxane-based therapy for triple-negative breast cancer

Identified the novel resistant biomarkers for taxane-based therapy for triple-negative breast cancer

Machine learning to establish three sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with gastric cancer

Epigenetic regulation of LINC01270 in breast cancer progression by mediating LAMA2 promoter methylation and MAPK signaling pathway

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