Evaluation the Presence of SERPINA5 (Exon 3) and FTO rs9939609 Polymorphisms in Papillary Thyroid Cancer Patients

Moshtaghioun, Seyed Mohammad; Fazel-Yazdi, Nasim; Mandegari, Mohammad; Shirinzadeh-Dastgiri, Ahmad; Vakili, Mohammad Rahim; Fazel-Yazdi, Habib

doi:10.31557/apjcp.2021.22.11.3641

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…Therefore, a random-effects model (DerSimonian and Laird method) or fixed-effects model (Mantel-Haenszel method) was used to calculate pooled effect estimates in the presence or absence of heterogeneity, respectively [32][33][34]. Moreover, Hardy-Weinberg equilibrium (HWE) assessed by chi-square test was made in control group of each study [35][36][37][38], P>0.05 were considered to have reliable and representative controls. Subgroup analyses were conducted by stratification of ethnicity to identifying potential source of heterogeneity [39][40][41].…”

Section: Discussionmentioning

confidence: 99%

Association of the CXCL12 rs1801157 Polymorphism with Breast Cancer Risk: A Meta-Analysis

Alijanpour,

Golshan,

Vakili-Ojarood

et al. 2024

Asian Pac J Cancer Prev

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Breast cancer is the most-commonly diagnosed malignant tumor in women in the world, as well as the first cause of death from malignant tumors [1][2][3]. Breast cancer patients account for as much as 36% of oncological patients. An estimated 287,850 new cases women were diagnosed with breast cancer in USA and 43,250 women will die from breast cancer in 2022 [4,5]. The occurrence of breast cancer is associated with many risk factors, including genetic and hereditary predisposition [6,7]. Breast cancers are highly heterogeneous [8,9]. There is growing evidence that germline mutations in certain genes

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Section: Discussionmentioning

confidence: 99%

Association of the CXCL12 rs1801157 Polymorphism with Breast Cancer Risk: A Meta-Analysis

Alijanpour,

Golshan,

Vakili-Ojarood

et al. 2024

Asian Pac J Cancer Prev

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“…The regulatory role of SERPINA5 in hemostasis and thrombosis has been observed in various organs. However, the expression relationship of SERPINA5 in GBM remains unreported, despite its implication in numerous diseases such as osteoarthritis ( 40 ), gastric cancer ( 41 ), and thyroid cancer ( 42 ). Researchers found that LGG patients with high SERPINA5 expression had a poor prognosis ( 43 ).…”

Section: Discussionmentioning

confidence: 99%

A new prognostic model for glioblastoma multiforme based on coagulation-related genes

Zhou,

Deng,

et al. 2023

Transl Cancer Res

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Background Glioblastoma multiforme (GBM) is the most aggressive, common, and lethal type of primary brain tumor. Multiple cancers have been associated with abnormalities in the coagulation system that facilitate tumor invasion and metastasis. In GBM, the prognostic value and underlying mechanism of coagulation-related genes (CRGs) have not been explored. Methods RNA sequencing (RNA-seq) and clinical information on GBM were obtained from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA), respectively. Following the identification of differentially expressed CRGs (DECRGs) between GBM and control samples, the survival-related DECRGs were selected via univariate and multivariate Cox regression analyses to establish a prognostic signature. The prognostic performance and clinical utility of the prognostic signature were assessed by the Kaplan-Meier (KM) analysis and receiver operating characteristic (ROC) curve analysis, and a nomogram was constructed. The signature genes-related underlying mechanisms were analyzed according to gene set enrichment analysis (GSEA), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and single-cell analysis. Finally, the difference in immune cell infiltration, stromal score, immune score, and Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) score were compared between different risk groups. Results A 5-gene prognostic signature ( PLAUR, GP6, C5AR1, SERPINA5, F2RL2 ) was established for overall survival (OS) prediction of GBM patients. The predicted efficiency of the prognostic signature was confirmed in TGGA-GBM dataset and validated in the CGGA-GBM dataset, revealing that it could differentiate GBM patients from controls well, and high risk score was accompanied with poor prognosis. Moreover, biological process (BP) and signaling pathway analyses showed that signature genes were mainly enriched in the functions of blood coagulation and tumor invasion and metastasis. Moreover, high-risk patients exhibited higher levels of immune cell infiltration, stromal score, immune score, and ESTIMATE score than that of low-risk patients. Conclusions An analysis of coagulation-related prognostic signatures was conducted in this study, as well as how signature genes may affect GBM progress, providing information that might provide new ideas for the development of GBM-related molecular targeted therapies.

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“…SERPINA5 regulates hemostasis and thrombosis across multiple organs. There are no reports of the expression relationship of Serpin peptidase inhibitor A member 5 (SERPINA5) in GBM, but a large number of cancers, including hepatocellular carcinoma [35], gastric cancer[36], thyroid cancer [37], are highly expressed in SERPINA5. Researchers found that LGG patients with high SERPINA5 expression had a poor prognosis [38].…”

Section: Discussionmentioning

confidence: 99%

A new prognostic model for GBM based on coagulation-related genes

Zhou

Deng

et al. 2022

Preprint

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Background: Glioblastoma multiforme (GBM) has the highest aggressiveness and is the most common and lethal types of primary brain tumor. Multiple cancers have been associated with abnormalities in the coagulation system that facilitate tumor invasion and metastasis. In GBM, the prognostic value and underlying mechanism of coagulation-related genes (CRGs) have not been explored. Methods: RNA sequencing (RNA-seq) and clinical information on GBM were obtained from the Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA), respectively. Following the identification of differentially expressed CRGs (DECRGs) between BGM and control samples, the survival-related DECRGs were selected by the univariate and multivariable Cox regression analysis to establish a prognostic signature. The prognostic performance and clinical utility of the prognostic signature were assessed by the Kaplan-Meier analysis, receiver operating characteristic (ROC) analysis and the construction of nomogram. The signature genes-related underlying mechanisms were analyzed according to Gene set enrichment analysis (GSEA), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and single-cell analysis. Finally, the difference in immune cell infiltration, stromal score, immune score, and ESTIMATE score were compared between different risk groups. Results: A five-gene prognostic signature (PLAUR, GP6, C5AR1, SERPINA5, F2RL2) was established for overall survival prediction of BGM patients. The predicted efficiency of the prognostic signature was confirmed in TGGA-BGM dataset and validated in CGGA-BGM dataset, revealing that it could differentiate BGM patients from controls well, and high risk score was accompanied with poor prognosis. Moreover, biological process and signaling pathway analyses showed that signature genes were mainly enriched in the functions of blood coagulation and tumor invasion and metastasis. Moreover, high-risk patients exhibited higher levels of immune cell infiltration, stromal score, immune score, and ESTIMATE score than low-risk patients. Conclusion:An analysis of coagulation-related prognostic signatures was conducted in this study, as well as how signature genes may affect GBM progress, providing information that might provide new ideas for the development of GBM-related molecular targeted therapies.

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Evaluation the Presence of SERPINA5 (Exon 3) and FTO rs9939609 Polymorphisms in Papillary Thyroid Cancer Patients

Cited by 6 publications

References 26 publications

Association of the CXCL12 rs1801157 Polymorphism with Breast Cancer Risk: A Meta-Analysis

Association of the CXCL12 rs1801157 Polymorphism with Breast Cancer Risk: A Meta-Analysis

A new prognostic model for glioblastoma multiforme based on coagulation-related genes

A new prognostic model for GBM based on coagulation-related genes

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