Endoplasmic Reticulum Stress-Related Four-Biomarker Risk Classifier for Survival Evaluation in Esophageal Cancer

Tang, Yeqing; Zhu, Jiashan; Luo, Jinhua

doi:10.1155/2022/5860671

Cited by 4 publications

(3 citation statements)

References 56 publications

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“…Previous studies have shown that BCAP29/31 is required for optimal targeting of MHC-I molecules to ER exit sites, as well as for proper traffic from ER to Golgi [6]. At the same time, BCAP29/31 exhibits carcinogenic effects in a variety of tumors, and this effect is mainly manifested by promoting the metastasis and proliferation of tumor cells [33]. However, the specific role and mechanism of BCAP29/31 in HNSC have not been clarified in detail.…”

Section: Discussionmentioning

confidence: 99%

BCAP29/31 as a Poor Prognostic Biomarker for Head and Neck Squamous Carcinoma: Impacting the TGFβ1/Smad- EMT Pathway

Zhang,

Gao,

Gao

et al. 2024

Preprint

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Objectives This study aimed to investigate the possible mechanism of action of BCAP29/31 in head and neck squamous cell carcinoma (HNSC) and to provide clues for finding new therapeutic targets for HNSC. Materials and methods We performed several data analyses including Kyoto Encyclopedia of the Genome (KEGG) and Gene Ontology (GO) analyses, immune infiltration, and single-cell analyses using databases such as TIMER2.0, TISIDB, STRING, Metascape, and GRNdb. The possible mechanism of action of BCAP29/31 in HNSC was investigated and validated using Q-PCR real-time fluorescence quantitative analysis. Results BCAP29/31 manifested a trend of overexpression and a certain mutation rate in HNSC. BCAP29/31 are each other's members of the protein interactions network and are associated with calcineurin binding and vesicle transport function. BCAP29/31 demonstrated the same trend correlating with CD8+ T and B cells, and abnormal associations with endothelial cell and macrophage infiltration levels. Conclusion The overexpression of BCAP29/31 is correlated with poor prognosis in HNSC and may affect the TGFβ1/Smad epithelial-mesenchymal transition (EMT) process. Overexpression of BCAP29/31 may be a factor causing the aberrant level of immune infiltration in HNSC. In conjunction with existing clinical treatment options, knockdown of BACP29/31 or targeted elimination of tumor-associated macrophage M2 tumor-associated macrophages (TAM M2) may help improve anti-PD-1/PD-L1 efficacy. Clinical Relevance Our study elucidated the mechanism of action in which BCAP29/31 may be involved in HNSC. The results supported the use of BCAP29/31 as a poor prognostic biomarker for HNSC and offered new insights to improve the efficacy of anti-PD-1/PD-L1 therapies in HNSC in the future.

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Section: Discussionmentioning

confidence: 99%

BCAP29/31 as a Poor Prognostic Biomarker for Head and Neck Squamous Carcinoma: Impacting the TGFβ1/Smad- EMT Pathway

Zhang,

Gao,

Gao

et al. 2024

Preprint

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“…It is primarily localized in the mitochondria and contains three serine residues, which could be activated by four inhibitory PDHK1-4 and two reactivated phosphatases (PDP1-2). These PDP1-2 are reversibly phosphorylated and regulate glycolysis and TCA [19,20]. Spakova et al demonstrated that silencing HIF-1α/miR210 expression increases PDHA1 and decreases MITF-M expression.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning Algorithms for a Novel Cuproptosis-related Gene Signature of Diagnostic and Immune Infiltration in Endometriosis

Wang

Ling

et al. 2023

Preprint

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Endometriosis (EMT) is a chronic hormone-dependent disease where in viable endometrial tissue is transplanted outside the uterus. Interestingly, immune infiltration is significantly involved in EMT pathogenesis. Currently, no studies have shown the involvement of cuproptosis-related genes (CRGs) in regulating immune infiltration in EMT. This study identified three CRGs such as GLS, NFE2L2, and PDHA1, associated with EMT using machine learning algorithms. These three CRGs were upregulated in the endometrium of patients with moderate/severe EMT and downregulated in patients with infertility. Single sample genomic enrichment analysis (ssGSEA) revealed that these CRGs were closely correlated with autoimmune diseases such as systemic lupus erythematosus. Furthermore, these CRGs were correlated with immune cells such as eosinophils, natural killer cells, and macrophages. Therefore, profiling patients based on these genes aid in a more accurate diagnosis of EMT progression. These findings provide a new idea for the pathology and treatment of endometriosis, suggesting that CRGs such as GLS, NFE2L2, and PDHA1 may play a key role in the occurrence and development of endometriosis.

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“…Recently, ER processes were found to be highly associated with tumor progression [ 4 ]. The ER, which is the largest protein processing organelle in cells, can precisely regulate the whole process of protein synthesis and transportation [ 5 ]. ER function can be disrupted by numerous abnormal cellular states, which causes ER stress [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Endoplasmic Reticulum Stress-Related Ten-Biomarker Risk Classifier for Survival Evaluation in Epithelial Ovarian Cancer and TRPM2: A Potential Therapeutic Target of Ovarian Cancer

Zhang,

Wang,

et al. 2023

IJMS

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Epithelial ovarian cancer (EOC) is the most lethal gynecological malignant tumor. Endoplasmic reticulum (ER) stress plays an important role in the malignant behaviors of several tumors. In this study, we established a risk classifier based on 10 differentially expressed genes related to ER stress to evaluate the prognosis of patients and help to develop novel medical decision-making for EOC cases. A total of 378 EOC cases with transcriptome data from the TCGA-OV public dataset were included. Cox regression analysis was used to establish a risk classifier based on 10 ER stress-related genes (ERGs). Then, through a variety of statistical methods, including survival analysis and receiver operating characteristic (ROC) methods, the prediction ability of the proposed classifier was tested and verified. Similar results were confirmed in the GEO cohort. In the immunoassay, the different subgroups showed different penetration levels of immune cells. Finally, we conducted loss-of-function experiments to silence TRPM2 in the human EOC cell line. We created a 10-ERG risk classifier that displays a powerful capability of survival evaluation for EOC cases, and TRPM2 could be a potential therapeutic target of ovarian cancer cells.

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Endoplasmic Reticulum Stress-Related Four-Biomarker Risk Classifier for Survival Evaluation in Esophageal Cancer

Cited by 4 publications

References 56 publications

BCAP29/31 as a Poor Prognostic Biomarker for Head and Neck Squamous Carcinoma: Impacting the TGFβ1/Smad- EMT Pathway

BCAP29/31 as a Poor Prognostic Biomarker for Head and Neck Squamous Carcinoma: Impacting the TGFβ1/Smad- EMT Pathway

Machine Learning Algorithms for a Novel Cuproptosis-related Gene Signature of Diagnostic and Immune Infiltration in Endometriosis

Endoplasmic Reticulum Stress-Related Ten-Biomarker Risk Classifier for Survival Evaluation in Epithelial Ovarian Cancer and TRPM2: A Potential Therapeutic Target of Ovarian Cancer

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