Comprehensive Analysis of Expression and Prognostic Value of MS4As in Glioma

Zeng, Yingying; Tan, Peixin; Ren, Chen; Gao, Liang; Chen, Yulei; Hu, Shushu; Tang, Nan; Chen, Chen; Du, Shasha

doi:10.3389/fgene.2022.795844

Cited by 13 publications

(12 citation statements)

References 47 publications

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“…Studies have shown that MS4A7 has a particular prognostic value in ovarian cancer [40] and glioma [41]. Our research found that MS4A7 mainly mediates most immune-related pathways, such as immune receptor activity, but MS4A7 is down-regulated in tumor tissues, and its low expression levels indicate a worse prognosis.…”

Section: Discussionmentioning

confidence: 51%

Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

Pang

Chen

et al. 2022

J Transl Med

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Non-small cell lung cancer (NSCLC) is the most widely distributed tumor in the world, and its immunotherapy is not practical. Neutrophil is one of a tumor’s most abundant immune cell groups. This research aimed to investigate the complex communication network in the immune microenvironment (TIME) of NSCLC tumors to clarify the interaction between immune cells and tumors and establish a prognostic risk model that can predict immune response and prognosis of patients by analyzing the characteristics of Neutrophil differentiation. Integrated Single-cell RNA sequencing (scRNA-seq) data from NSCLC samples and Bulk RNA-seq were used for analysis. Twenty-eight main cell clusters were identified, and their interactions were clarified. Next, four subsets of Neutrophils with different differentiation states were found, closely related to immune regulation and metabolic pathways. Based on the ratio of four housekeeping genes (ACTB, GAPDH, TFRC, TUBB), six Neutrophil differentiation-related genes (NDRGs) prognostic risk models, including MS4A7, CXCR2, CSRNP1, RETN, CD177, and LUCAT1, were constructed by Elastic Net and Multivariate Cox regression, and patients’ total survival time and immunotherapy response were successfully predicted and validated in three large cohorts. Finally, the causes of the unfavorable prognosis of NSCLC caused by six prognostic genes were explored, and the small molecular compounds targeted at the anti-tumor effect of prognostic genes were screened. This study clarifies the TIME regulation network in NSCLC and emphasizes the critical role of NDRGs in predicting the prognosis of patients with NSCLC and their potential response to immunotherapy, thus providing a promising therapeutic target for NSCLC.

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Section: Discussionmentioning

confidence: 51%

Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

Pang

Chen

et al. 2022

J Transl Med

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“…As a cell surface signaling and intracellular adaptor protein, it also plays important roles in cell proliferation and cycle regulation ( He et al, 2017 ). MS4A is abnormally expressed in GC, brain glioma, colon cancer, and other solid tumors and has been implicated in a variety of functions ( Cruse et al, 2015 ; He et al, 2017 ; Sun et al, 2018 ; Zeng et al, 2022 ). MS4A2, MS4A6, MS4A7, MS4A8, MS4A14, and MS4A15 have been established as biomarkers of the progression and prognosis of GC ( Sun et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Effects of Sophora flavescens aiton and the absorbed bioactive metabolite matrine individually and in combination with 5-fluorouracil on proliferation and apoptosis of gastric cancer cells in nude mice

Wang

Tang

et al. 2022

Front. Pharmacol.

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Background:Sophora flavescens aiton (SFA) and its main bioactive metabolite matrine are widely used in traditional Chinese medicine (TCM) preparations and have achieved good curative effects for the treatment of various tumors. However, the mechanisms underlying SFA and matrine individually and in combination with chemotherapeutic drugs for treatment of gastric cancer (GC) remain unclear.Aim of the study: To elucidate the mechanisms underlying the ability of SFA and matrine individually and in combination with chemotherapeutic drugs to inhibit proliferation and promote apoptosis of human GC cells.Materials and methods: Forty-eight nude mice were randomly divided into six groups that were treated with normal saline (model group), 5-fluorouracil (5-FU), SFA decoction (SFAD), matrine, SFAD+5-FU, or matrine+5-FU. A subcutaneous heterotopic tumor model was established in nude mice by implantation of human GC BGC-823 cells. All mice were treated for 28 days. Bioactive metabolites in SFA were determined by HPLC-MS/MS. The tumor volume, tumor weight, and tumor inhibition rate of mice were documented. Histopathology and ultramicroscopic pathology of tumor tissues were observed. The tumor cell cycle and apoptosis in vivo were detected. Serum levels of PCNA, BAX, Bcl-2, Caspase-9, Caspase-3 and cleaved Caspase-3 were measured. Protein levels of MS4A10, MS4A8, MS4A7, PCNA, BAX, Bcl-2, Caspase-3, and cleaved Caspase-3 were measured in tumor tissues.Results: Both SFAD and matrine inhibited the growth of transplanted GC cells, which was more effective when combined with 5-FU. The tumor inhibition rates of the 5-FU, SFAD, matrine, SFAD+5-FU, and matrine+5-FU groups were 53.85%, 33.96%, 30.44%, 59.74%, and 56.55%, respectively. The body weight of tumor-bearing nude mice was greater in the SFAD group than the normal saline and matrine groups. SFAD+5-FU and matrine+5-FU blocked BGC-823 cells in the G0-G1/S transition, promoted apoptosis, and significantly decreased the content of serum apoptosis-inhibitory proteins (PCNA and Bcl-2) as well as protein expression of MS4A8, MS4A10, Bcl-2, and PCNA in tumor tissues, while increasing serum levels of pro-apoptotic proteins (Caspase-9, Caspase-3 and cleaved-Caspase-3) and protein expression of BAX and cleaved-Caspase-3 in tumor tissues.Conclusion: SFAD and matrine both individually and in combination with 5-FU ameliorated malignancy of transplanted tumors by reducing proliferation and promoting apoptosis of BGC-823 cells. These findings confirm the anti-tumor synergistic effect of TCM and chemotherapeutic drugs.

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“…Studies have shown that MS4A7 has a particular prognostic value in ovarian cancer[36] and glioma [37].…”

Section: Discussionmentioning

confidence: 99%

Integrating Single-Cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

Pang

Chen

et al. 2022

Preprint

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Non-small cell lung cancer (NSCLC) is the most widely distributed tumor in the world, and its immunotherapy is not practical. Neutrophil is one of a tumor's most abundant immune cell groups. This research aimed to investigate the complex communication network in the immune microenvironment (TIME) of NSCLC tumors to clarify the interaction between immune cells and tumors and establish a prognostic risk model that can predict immune response and prognosis of patients by analyzing the characteristics of Neutrophil differentiation. Integrated single-cell RNA sequencing (scRNA-seq) data from NSCLC samples and Bulk RNA-seq were used for analysis. Twenty-eight main cell clusters were identified, and their interactions were clarified. Subsequently, four subsets of Neutrophils with different differentiation states were found, closely related to immune regulation and metabolic pathways. Based on the ratio of four housekeeping genes (ACTB, GAPDH, TFRC, TUBB), six Neutrophil differentiation-related genes (NDRGs) prognostic risk models, including MS4A7, CXCR2, CSRNP1, RETN, CD177, and LUCAT1, were constructed by Elastic Net and Multivariate Cox regression, and patients' total survival time and immunotherapy response were successfully predicted and validated in three large cohorts. Finally, the causes of the worse prognosis of NSCLC caused by six prognostic genes were explored, and the small molecular compounds targeted at the anti-tumor effect of prognostic genes were screened. This study clarifies the TIME regulation network in NSCLC and emphasizes the critical role of NDRGs in predicting the prognosis of patients with NSCLC and their potential response to immunotherapy, thus providing a promising therapeutic target for NSCLC.

show abstract

Comprehensive Analysis of Expression and Prognostic Value of MS4As in Glioma

Cited by 13 publications

References 47 publications

Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

Effects of Sophora flavescens aiton and the absorbed bioactive metabolite matrine individually and in combination with 5-fluorouracil on proliferation and apoptosis of gastric cancer cells in nude mice

Integrating Single-Cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer

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