High expression of COMMD7 is an adverse prognostic factor in acute myeloid leukemia

Li, Kongfei; Chen, Lieguang; Zhang, Hua; Wang, Lu; Sha, Keya; Du, Xiaohong; Li, Daiyang; Zheng, Zhong-Zheng; Pei, Renzhi; Lu, Ying; Tong, Hongyan

doi:10.18632/aging.202901

Cited by 15 publications

(14 citation statements)

References 40 publications

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“…We downloaded the expression profiles of RNA-seq (n = 150) and clinicopathological information of AML tumorous tissue from the Cancer Genome Atlas (TCGA) website ( https://portal.gdc.cancer.gov/ ), while the RNA-seq profiles of normal blood ( n = 337) were obtained from UCSC XENA of Genotype-Tissue Expression (GTEx) ( https://xenabrowser.net/datapages/ ) ( Li et al, 2021 ). Then we normalized and processed the RNA-seq profiles of counts value from TCGA and GTEx with “limma” package ( Mounir et al, 2019 ).…”

Section: Methodsmentioning

confidence: 99%

Development of a novel pyroptosis-related LncRNA signature with multiple significance in acute myeloid leukemia

Zhong

Guo²,

Shang³

et al. 2023

Front. Genet.

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Background: Pyroptosis, a programmed cell death (PCD) with highly inflammatory form, has been recently found to be associated with the origin of hematopoietic malignancies. Long noncoding RNA (lncRNA) had emerged as an essential mediator to regulate gene expression and been involved in oncogenesis. However, the roles of pyroptosis-related lncRNA (PRlncRNA) in acute myeloid leukemia (AML) have not yet been completely clarified.Methods: We collected AML datasets from public databases to obtain PRlncRNA associated with survival and constructed a PRlncRNA signature using Lasso-Cox regression analysis. Subsequently, we employed RT-PCR to confirm its expression difference and internal training to further verify its reliability. Next, AML patients were classified into two subgroups by the median risk score. Finally, the differences between two groups in immune infiltration, enrichment analysis and drug sensitivity were further explored.Results: A PRlncRNA signature and an effective nomogram combined with clinicopathological variables to predict the prognosis of AML were constructed. The internal validations showed that the PRlncRNA risk score model was an accurate and productive indicator to predict the outcome of AML. Furthermore, this study indicated that higher inflammatory cell and immunosuppressive cells, and less sensitive to conventional chemotherapy drugs were highlighted in the high-risk group.Conclusion: Through comprehensive analysis of PRlncRNA model, our study may offer a valuable basis for future researches in targeting pyroptosis and tumor microenvironment (TME) and provide new measures for prevention and treatment in AML.

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Section: Methodsmentioning

confidence: 99%

Development of a novel pyroptosis-related LncRNA signature with multiple significance in acute myeloid leukemia

Zhong

Guo²,

Shang³

et al. 2023

Front. Genet.

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“…Concordance index (C-index) was used to determine the discrimination. And the bootstrap method was used to calculate 1000 resamples [ 26 ]. In addition, receiver operating characteristic (ROC) curve was used to evaluate the predictive accuracy of the nomogram.…”

Section: Methodsmentioning

confidence: 99%

Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas

Jia

Ding

et al. 2022

BMC Cancer

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Objective Glioma was the most common type of intracranial malignant tumor. Even after standard treatment, the recurrence and malignant progression of lower-grade gliomas (LGGs) were almost inevitable. The overall survival (OS) of patients with LGG varied widely, making it critical for prognostic prediction. Small G Protein Signaling Modulator 1 (SGSM1) has hardly been studied in gliomas. Therefore, we aimed to investigate the prognostic role of SGSM1 and its relationship with immune infiltration in LGGs. Methods We obtained RNA sequencing data from The Cancer Genome Atlas (TCGA) to analyze SGSM1 expression. Functional enrichment analyses, immune infiltration analyses, immune checkpoint analyses, and clinicopathology analyses were performed. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors. And nomogram model has been developed. Kaplan–Meier survival analysis and log-rank test were used to estimate the relationship between OS and SGSM1 expression. The survival analyses and Cox regression were validated in datasets from the Chinese Glioma Genome Atlas (CGGA). Results SGSM1 was significantly down-regulated in LGGs. Functional enrichment analyses revealed SGSM1 was correlated with immune response. Most immune cells and immune checkpoints were negatively correlated with SGSM1 expression. The Kaplan–Meier analyses showed that low SGSM1 expression was associated with a poor outcome in LGG and its subtypes. The Cox regression showed SGSM1 was an independent prognostic factor in patients with LGG (HR = 0.494, 95%CI = 0.311–0.784, P = 0.003). Conclusion SGSM1 was considered to be a new prognostic biomarker for patients with LGG. And our study provided a potential therapeutic target for LGG treatment.

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“…However, the precise function of COMMD5 in gastric cancer requires additional investigation ( 85 ). In pancreatic ductal adenocarcinoma (PDAC) ( 86 ) and acute myeloid leukemia ( 87 ), high COMMD7 expression is associated with a poor prognosis. COMMD7 is positively linked with PDAC histological differentiation, lymph node metastasis, and TNM staging.…”

Section: The Commd Protein Family and Tumorsmentioning

confidence: 99%

COMMD proteins function and their regulating roles in tumors

et al. 2023

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The COMMD proteins are a highly conserved protein family with ten members that play a crucial role in a variety of biological activities, including copper metabolism, endosomal sorting, ion transport, and other processes. Recent research have demonstrated that the COMMD proteins are closely associated with a wide range of disorders, such as hepatitis, myocardial ischemia, cerebral ischemia, HIV infection, and cancer. Among these, the role of COMMD proteins in tumors has been thoroughly explored; they promote or inhibit cancers such as lung cancer, liver cancer, gastric cancer, and prostate cancer. COMMD proteins can influence tumor proliferation, invasion, metastasis, and tumor angiogenesis, which are strongly related to the prognosis of tumors and are possible therapeutic targets for treating tumors. In terms of molecular mechanism, COMMD proteins in tumor cells regulate the oncogenes of NF-κB, HIF, c-MYC, and others, and are related to signaling pathways including apoptosis, autophagy, and ferroptosis. For the clinical diagnosis and therapy of malignancies, additional research into the involvement of COMMD proteins in cancer is beneficial.

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High expression of COMMD7 is an adverse prognostic factor in acute myeloid leukemia

Cited by 15 publications

References 40 publications

Development of a novel pyroptosis-related LncRNA signature with multiple significance in acute myeloid leukemia

Development of a novel pyroptosis-related LncRNA signature with multiple significance in acute myeloid leukemia

Prognostic biomarker SGSM1 and its correlation with immune infiltration in gliomas

COMMD proteins function and their regulating roles in tumors

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