GPI Is a Prognostic Biomarker and Correlates With Immune Infiltrates in Lung Adenocarcinoma

Han, Jiahui; Deng, Xinzhou; Sun, Renhuang; Luo, Ming; Liang, Meng; Gu, Bing; Zhang, Te; Peng, Zhen; Lü, Ying; Tian, Chao; Yan, Yutao; Luo, Zhiguo

doi:10.3389/fonc.2021.752642

Cited by 33 publications

(39 citation statements)

References 49 publications

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“…In addition, our study indicated that the expression level of GPI was significantly related to the tumor stage, ER or PR state, and age. Similarly, Han's study (10) pointed out that the expression level of GPI in LUAD was significantly higher than that in paracarcinoma tissues. Rose (21) reported that serum GPI was often elevated in patients with breast cancer.…”

Section: Discussionmentioning

confidence: 90%

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GPI: An indicator for immune infiltrates and prognosis of human breast cancer from a comprehensive analysis

Zeng

Tan³

et al. 2022

Front. Endocrinol.

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Glucose-6-phosphate isomerase (GPI) plays an important part in gluconeogenesis and glycolysis through the interconversion of d-glucose-6-phosphate and d-fructose-6-phosphate, and its clinical significance still remains unclear in breast cancer (BRCA). We analyzed the expressions of GPI in BRCA patients to determine prognostic values. Our results showed that the expression levels of GPI were upregulated in BRCA patients, and a high GPI expression is correlated with poor overall survival (OS) in BRCA. At the same time, a high GPI expression is correlated with poor clinicopathological characteristics, such as stage III, over 60 years old, N3, HER2 negative, and estrogen receptor (ER) positive. Further analysis of the influence of GPI on the prognosis of BRCA suggested that 50 genes and 10 proteins were positively correlated with GPI, and these genes and proteins were mainly involved in cell cycle signaling pathways. In addition, in this study, we observed that GPI was closely related to N6-methyladenosine (m6A) RNA methylation modification and immune cell infiltration and ferroptosis-related gene expression in BRCA, and there was a difference in m6A RNA methylation alterations, immune cell infiltration, and ferroptosis-related gene expression between the high GPI expression group and the low GPI expression group. Finally, we found that GPI in BRCA had 2.6% gene alterations, and BRCA patients with gene alteration of GPI had a poor prognosis in disease-free survival (DFS). Altogether, our work strongly suggested that GPI may serve as a new prognostic biomarker for BRCA patients.

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Section: Discussionmentioning

confidence: 90%

“…The previous reports have indicated that GPI is significantly related to tumor metastasis and poor prognosis of some tumors (10)(11)(12). In this study, database analysis showed that the expression levels of GPI in many human tumors were frequently altered.…”

Section: Discussionmentioning

confidence: 99%

GPI: An indicator for immune infiltrates and prognosis of human breast cancer from a comprehensive analysis

Zeng

Tan³

et al. 2022

Front. Endocrinol.

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“…It may function as a cytokine and angiogenic factor. The aberrant expression of GPI has been involved in the development and progression of several cancers, such as adrenal cortical carcinoma, lung adenocarcinoma, and malignant melanoma, possibly by influencing immune cell infiltration [ 36 , 59 , 60 ].…”

Section: Discussionmentioning

confidence: 99%

Endometrial Carcinoma: Molecular Cytogenetics and Transcriptomic Profile

Brunetti

Panagopoulos

Vitelli

et al. 2022

Cancers

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Endometrial carcinomas (ECs) are histologically classified as endometrioid and nonendometrioid tumors, with each subgroup displaying different molecular profiles and clinical outcomes. Considerable biological and clinical heterogeneity exists within this scheme, however, reflecting its imperfection. We aimed to gather additional data that might help clarify the tumors’ pathogenesis and contribute toward a more meaningful classification scheme. In total, 33 ECs were examined for the presence of chromosomal aberrations, genomic imbalances, pathogenic variants, microsatellite instability, and expression profiles at both gene and miRNA levels. Chromosome 1 was the most frequently rearranged chromosome, showing a gain of all or part of the long arm. Pathogenic variants were found for PTEN (53%), PDGFRA (37%), PIK3CA (34%), and KIT (31%). High microsatellite instability was identified in 15 ECs. Comparing tumors and controls, we identified 23 differentially expressed genes of known importance in carcinogenesis, 15 genes involved in innate and adaptative immune responses, and altered expression of 7 miRNAs. miR-32-5p was the most upregulated. Our series showed a high degree of heterogeneity. Tumors were well-separated from controls, but there was no clear-cut separation between endometrioid and nonendometrioid ECs. Whether this means that the current phenotypic classification is of little relevance or if one still has not detected which genomic parameters to enter into correlation analyses remains unknown.

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“…GPI plays a crucial part in the process of glycolysis and gluconeogenesis ( 24 , 25 ). Earlier studies showed that GPI could be used as a prognostic biomarker in cancer because of its important work in the cell cycle ( 26 , 27 ). In our study, GPI was a risk gene because a higher expression was associated with poor prognosis.…”

Section: Discussionmentioning

confidence: 99%

Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell Carcinoma

et al. 2022

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To identify an apoptosis-related gene (ARG) prediction model for oral squamous cell carcinoma (OSCC), we analyzed and validated the data from TCGA and GEO, respectively. Kaplan–Meier survival analysis and ROC curves showed a good prognostic ability of the model both in the internal training set and in the external testing set. Furthermore, we built a nomogram using these ARGs to forecast the survival probability of OSCC patients. Moreover, we evaluated the rate of immune cells infiltrating in the tumor samples and found obvious, different patterns between the high and low risk groups. GO and KEGG analyses demonstrated multiple molecular biological processes and signaling pathways connecting with this prognostic model in OSCC. The expression of these risk genes in clinical specimens was higher in the non-survival patients than in the well-survival patients by immunohistochemical staining analysis. In conclusion, we established a signature made up of six risk apoptosis-related genes to predict the survival rate of OSCC. These genes could also be targets for the treatment of OSCC.

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GPI Is a Prognostic Biomarker and Correlates With Immune Infiltrates in Lung Adenocarcinoma

Cited by 33 publications

References 49 publications

GPI: An indicator for immune infiltrates and prognosis of human breast cancer from a comprehensive analysis

GPI: An indicator for immune infiltrates and prognosis of human breast cancer from a comprehensive analysis

Endometrial Carcinoma: Molecular Cytogenetics and Transcriptomic Profile

Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell Carcinoma

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