Elevated SH3BP5 Correlates with Poor Outcome and Contributes to the Growth of Acute Myeloid Leukemia Cells

Li, Minjing; Hao, Shiyu; Li, Chunling; Xiao, Han; Sun, Liyuan; Yu, Zhenhai; Zhang, Naili; Xiong, Yanlian; Zhao, Dongmei; Yin, Yancun

doi:10.3390/biom9090505

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…Our analysis confirmed this role, and the STRING analysis also reveals that SLC44A1 may interact with SH3BP5 (Figure 2), an essential kinase for B-cell differentiation and proliferation [135]. In 2019, Li et al [90] reported that the elevated expression of SH3BP5 significantly also correlated with poor outcomes of acute myeloid leukemia patients [90]. Through the knock-down of SH3BP5, the authors demonstrated the inhibition of cell viability and the induction of apoptosis [90].…”

Section: Candidate Markers and Associated Functional Partnerssupporting

confidence: 70%

“…It interacts with other choline transporters but also with a guanine nucleotide exchange factor (SH3BP5). Interestingly, the knockdown of SH3BP5 is known to induce apoptosis in leukemia cells [90] (Figure 2).…”

Section: Protein-protein Interaction Patterns To Infer On Gene Product Functionalitymentioning

confidence: 99%

“…In 2019, Li et al [90] reported that the elevated expression of SH3BP5 significantly also correlated with poor outcomes of acute myeloid leukemia patients [90]. Through the knock-down of SH3BP5, the authors demonstrated the inhibition of cell viability and the induction of apoptosis [90].…”

Section: Candidate Markers and Associated Functional Partnersmentioning

confidence: 99%

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Computational Approaches for Cancer-Fighting: From Gene Expression to Functional Foods

Monticolo

Chiusano

2021

Cancers

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It is today widely accepted that a healthy diet is very useful to prevent the risk for cancer or its deleterious effects. Nutrigenomics studies are therefore taking place with the aim to test the effects of nutrients at molecular level and contribute to the search for anti-cancer treatments. These efforts are expanding the precious source of information necessary for the selection of natural compounds useful for the design of novel drugs or functional foods. Here we present a computational study to select new candidate compounds that could play a role in cancer prevention and care. Starting from a dataset of genes that are co-expressed in programmed cell death experiments, we investigated on nutrigenomics treatments inducing apoptosis, and searched for compounds that determine the same expression pattern. Subsequently, we selected cancer types where the genes showed an opposite expression pattern and we confirmed that the apoptotic/nutrigenomics expression trend had a significant positive survival in cancer-affected patients. Furthermore, we considered the functional interactors of the genes as defined by public protein-protein interaction data, and inferred on their involvement in cancers and/or in programmed cell death. We identified 7 genes and, from available nutrigenomics experiments, 6 compounds effective on their expression. These 6 compounds were exploited to identify, by ligand-based virtual screening, additional molecules with similar structure. We checked for ADME criteria and selected 23 natural compounds representing suitable candidates for further testing their efficacy in apoptosis induction. Due to their presence in natural resources, novel drugs and/or the design of functional foods are conceivable from the presented results.

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Section: Candidate Markers and Associated Functional Partnerssupporting

confidence: 70%

Section: Protein-protein Interaction Patterns To Infer On Gene Product Functionalitymentioning

confidence: 99%

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Computational Approaches for Cancer-Fighting: From Gene Expression to Functional Foods

Monticolo

Chiusano

2021

Cancers

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“…Published studies of SH3BP5-AS1 are rare, while research on SH3BP5 has been reported frequently. High expression of SH3BP5 was proven to be associated with poor outcomes in acute myeloid leukemia patients [ 45 ]. Moreover, SH3BP5 was identified as an invasion- and proliferation-related gene of adrenocortical carcinoma [ 46 ].…”

Section: Discussionmentioning

confidence: 99%

A novel autophagy-related long non-coding RNAs prognostic risk score for clear cell renal cell carcinoma

Tang

et al. 2022

BMC Urol

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Background As the main histological subtype of renal cell carcinoma, clear cell renal cell carcinoma (ccRCC) places a heavy burden on health worldwide. Autophagy-related long non-coding RNAs (ARlncRs) have shown tremendous potential as prognostic signatures in several studies, but the relationship between them and ccRCC still has to be demonstrated. Methods The RNA-sequencing and clinical characteristics of 483 ccRCC patients were downloaded download from the Cancer Genome Atlas and International Cancer Genome Consortium. ARlncRs were determined by Pearson correlation analysis. Univariate and multivariate Cox regression analyses were applied to establish a risk score model. A nomogram was constructed considering independent prognostic factors. The Harrell concordance index calibration curve and the receiver operating characteristic analysis were utilized to evaluate the nomogram. Furthermore, functional enrichment analysis was used for differentially expressed genes between the two groups of high- and low-risk scores. Results A total of 9 SARlncRs were established as a risk score model. The Kaplan–Meier survival curve, principal component analysis, and subgroup analysis showed that low overall survival of patients was associated with high-risk scores. Age, M stage, and risk score were identified as independent prognostic factors to establish a nomogram, whose concordance index in the training cohort, internal validation, and external ICGC cohort was 0.793, 0.671, and 0.668 respectively. The area under the curve for 5-year OS prediction in the training cohort, internal validation, and external ICGC cohort was 0.840, 0.706, and 0.708, respectively. GO analysis and KEGG analysis of DEGs demonstrated that immune- and inflammatory-related pathways are likely to be critically involved in the progress of ccRCC. Conclusions We established and validated a novel ARlncRs prognostic risk model which is valuable as a potential therapeutic target and prognosis indicator for ccRCC. A nomogram including the risk model is a promising clinical tool for outcomes prediction of ccRCC patients and further formulation of individualized strategy.

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Identification and analysis of methylation signature genes and association with immune infiltration in pediatric acute myeloid leukemia

Zhu,

Xu,

Xia

et al. 2023

J Cancer Res Clin Oncol

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Elevated SH3BP5 Correlates with Poor Outcome and Contributes to the Growth of Acute Myeloid Leukemia Cells

Cited by 7 publications

References 25 publications

Computational Approaches for Cancer-Fighting: From Gene Expression to Functional Foods

Computational Approaches for Cancer-Fighting: From Gene Expression to Functional Foods

A novel autophagy-related long non-coding RNAs prognostic risk score for clear cell renal cell carcinoma

Identification and analysis of methylation signature genes and association with immune infiltration in pediatric acute myeloid leukemia

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