HSPA5 Could Be a Prognostic Biomarker Correlated with Immune Infiltration in Breast Cancer

Zhang, Chao; Liu, Qing; Zhou, Yubo; Hua, Jianfen; Su, Ruijun; Ai, Jun

doi:10.1155/2022/7177192

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…Leave-one-out cross validation and ROC analysis indicated that the gene feature had a moderate effect on predicting survival rate. Previous studies suggested that the three GRGs we found were all related to the occurrence and development of some cancers ( 29 - 31 ). For example, decreased expression of HSPA5 is associated with the deterioration of clinical pathological characteristics, shortened PFI, and increased immune infiltration of various immune cells, indicating that HSPA5 is a biomarker for the prognosis of THCA ( 32 ).…”

Section: Discussionsupporting

confidence: 53%

Identification and validation of a glycolysis-related gene signature for predicting metastasis and survival rate in patients with thyroid cancer

Wang¹,

Zhu²,

Zhang³

et al. 2023

Transl Cancer Res

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Background Thyroid cancer (THCA) is one of the most commonly malignant endocrine tumors worldwide. This study aimed to explore new gene signatures to better predict the metastasis and survival rate of patients with THCA. Methods mRNA transcriptome date and clinical characteristics of THCA were obtained from the Cancer Genome Atlas (TCGA) database to identify the expression and prognostic implications of glycolysis-related genes. Gene Set Enrichment Analysis (GSEA) of differentiated expressed genes was performed, and relationship between genes and glycolysis was observed in the Cox proportional regression model. Using the cBioPortal, mutations were subsequently identified in model genes. Results A 3-gene ( HSPA5, KIF20A and SDC2 ) signature based on glycolysis related genes was identified and used to predict metastasis and survival rate in patients with THCA. Further expression analysis revealed that KIF20A was a poor prognostic gene, while HSPA5 and SDC2 were good prognostic genes. Evaluating the prognosis of patients with THCA could be more effective with this model. Conclusions The study reported a three-gene signature of THCA, including HSPA5 , KIF20A and SDC2 , which were found to be closely correlated with the glycolysis of THCA, and it showed a high efficacy to the prediction of metastasis and survival rate of THCA.

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Section: Discussionsupporting

confidence: 53%

Identification and validation of a glycolysis-related gene signature for predicting metastasis and survival rate in patients with thyroid cancer

Wang¹,

Zhu²,

Zhang³

et al. 2023

Transl Cancer Res

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“…High expression of HSPA5 was found in lung cancer, gastric cancer, prostate cancer, CC and other tumor cells. As a cancer promoting factor, HSPA5 can reduce the lethal effect of cytotoxic T cells on tumor cells, protect tumor cells from the control of the body's immunity, and thus promote the occurrence and development of tumors [33] . This is also the case in our study, where high expression of HSPA5 in CC is associated with lower survival and poor prognosis.…”

Section: Discussionmentioning

confidence: 99%

Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in cervical carcinoma

Qian,

Xieyidai,

Han

et al. 2023

Preprint

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Objective: The objective of this study is to comprehensively investigate the communication network within the tumor immune microenvironment (Tumor Immune Microenvironment, TIME) of cervical carcinoma (CC). This involves elucidating the intricate relationships among cells to gain a profound understanding of the interactions between immune cells and tumor cells，as well as the assessment of neutrophil differentiation characteristics and the selection of prognostic genes, the primary goal is to establish a risk model with the ability to predict patients' immune responses and prognosis. Additionally, this model seeks to uncover innovative diagnostic and therapeutic targets for cervical carcinoma, thereby furnishing clinicians with dependable strategies for treatment. Methods: Using single-cell RNA sequencing data (scRNA-seq) obtained from CC samples (E-MTAB-11948), this study employed the Seurat(4.3.0) package to integrate data, remove batch effects, and annotate cell types. A cell communication network was constructed using the iTAKL(0.1.0) package for the analysis of intercellular communication. Neutrophil subpopulations were analyzed utilizing the Monocle2(2.26.0) package to discern various cellular states and conduct pathway analysis using KEGG/GO annotations. Results: we successfully distinguished and further categorized 32 cell populations into 9 major cell types, encompassing T cells, B cells, Mast cells, Neutrophils, Epithelial cells, Endothelial cells, Monocytes, Fibroblasts, and Smooth muscle cells. Furthermore, we ascertained that five subgroups of Neutrophils, each representing diverse differentiation states, exhibit close associations with immune regulatory and metabolic pathways.From our analysis of intersecting genes in the TCGA-CESC dataset, we successfully identified four prognostic genes: C5AR1, HSPA5, CXCL2, and OLR1. The stability of our prognostic risk model has been reiterated through internal and external validation, demonstrating its high consistency, differentiation, and clinical applicability. Notably, the CIRBESORT analysis divulged diminished immune cell content within the tumor immune microenvironment of the high-risk group, correlating with an unfavorable prognosis. Low expression of C5AR1 and high expression of HSPA5, CXCL2, and OLR1 were significantly associated with shorter survival and poorer prognosis.Conclusion: This study elucidated the intricate regulatory network governing the immune microenvironment in CC and comprehensively analyzed intercellular interactions.highlighting the significant roles of C5AR1, HSPA5, CXCL2, and OLR1 in predicting patient prognosis and responsiveness to immunotherapy. These findings offer novel insights and potential strategies for identifying fresh treatment targets in CC. Conclusion: This study elucidated the regulatory network of immune microenvironment in CC, and analyzed the interaction between cells. the key roles of C5AR1, HSPA5, CXCL2 and OLR1 in predicting patient prognosis and response to immunotherapy were revealed. This provides new insights and possible strategies for finding new CC treatment targets.

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“…By analyzing the database of The Cancer Genome Atlas (TCGA), the Tumor Immune Estimation Resource (TIMER) method, the Kaplan-Meier plotter, or Cox regression, Zhang et al. ( 17 ) concluded that HSPA5 is a marker for prognostics that correlates with immune infiltration of breast cancer. Dong et al.…”

Section: Hspa5 In Cancersmentioning

confidence: 99%

New progresses on cell surface protein HSPA5/BiP/GRP78 in cancers and COVID-19

Li,

Fu,

Cheng

et al. 2023

Front. Immunol.

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Heat-shock-protein family A (Hsp70) member 5 (HSPA5), aliases GRP78 or BiP, is a protein encoded with 654 amino acids by the HSPA5 gene located on human chromosome 9q33.3. When the endoplasmic reticulum (ER) was stressed, HSPA5 translocated to the cell surface, the mitochondria, and the nucleus complexed with other proteins to execute its functions. On the cell surface, HSPA5/BiP/GRP78 can play diverse functional roles in cell viability, proliferation, apoptosis, attachments, and innate and adaptive immunity regulations, which lead to various diseases, including cancers and coronavirus disease 2019 (COVID-19). COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which caused the pandemic since the first outbreak in late December 2019. HSPA5, highly expressed in the malignant tumors, likely plays a critical role in SARS-CoV-2 invasion/attack in cancer patients via tumor tissues. In the current study, we review the newest research progresses on cell surface protein HSPA5 expressions, functions, and mechanisms for cancers and SARS-CoV-2 invasion. The therapeutic and prognostic significances and prospects in cancers and COVID-19 disease by targeting HSPA5 are also discussed. Targeting HSPA5 expression by natural products may imply the significance in clinical for both anti-COVID-19 and anti-cancers in the future.

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HSPA5 Could Be a Prognostic Biomarker Correlated with Immune Infiltration in Breast Cancer

Cited by 4 publications

References 30 publications

Identification and validation of a glycolysis-related gene signature for predicting metastasis and survival rate in patients with thyroid cancer

Identification and validation of a glycolysis-related gene signature for predicting metastasis and survival rate in patients with thyroid cancer

Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in cervical carcinoma

New progresses on cell surface protein HSPA5/BiP/GRP78 in cancers and COVID-19

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