Radiotherapy-Related Gene Signature in Prostate Cancer

Fortis, Sotirios P.; Goulielmaki, Maria; Aubert, Nicolas; Batsaki, Panagiota; Ouzounis, Sotiris; Cavouras, Dionisis; Marodon, Gilles; Stokidis, Savvas; Gritzapis, Angelos D.; Baxevanis, Constantin N.

doi:10.3390/cancers14205032

Cited by 5 publications

(4 citation statements)

References 67 publications

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“…FCGR2B is involved in various immune pathways that promote tumor. [ 37 ] Our research found that FCGR2B is closely related to immune-related functions, such as T cell activation and lymphocyte mediated immunity. GSEA analysis showed that in the high expression group of FCGR2B, the biological functions related to cell adhesion molecules (CAMS) and Hematopoietic cell lineage or immune related biological functions mediated by them and JAK-STAT signal pathway were activated.…”

Section: Discussionmentioning

confidence: 91%

FCGR2B as a prognostic and immune microenvironmental marker for gliomas based on transcriptomic analysis

Sun,

Yuan

et al. 2023

Medicine

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To explore the expression and prognosis of Fc fragment of IgG low affinity IIb receptor (FCGR2B) in glioma and its relationship with immune microenvironment, so as to provide potential molecular targets for the treatment of glioma. We analyzed the gene expression of FCGR2B using the Cancer Genome Atlas database, Chinese Glioma Genome Atlas, Gene Expression Omnibus database and other glioma related databases. Moreover, we generated survival receiver operating characteristic curve, carried out univariate and multivariate Cox analysis and nomograph construction, and analyzed the relationship between FCGR2B and prognosis. According to the median of FCGR2B gene expression value, the differential expression analysis was carried out by high and low grouping method, and the gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis enrichment analysis were carried out to explore the possible mechanism. Then, the correlation between immune score of glioma and prognosis, World Health Organization grade and FCGR2B expression was analyzed. Finally, the correlation between FCGR2B expression and the proportion of tumor infiltrating immune cells, immune checkpoints, tumor mutation load and immune function was analyzed. The expression of FCGR2B in gliomas was higher than that in normal tissues and was associated with poor prognosis. Independent prognostic analysis showed that FCGR2B was an independent prognostic factor for glioma. The analysis of gene ontology and gene set enrichment analysis showed that FCGR2B was closely related to immune-related functions. The analysis of immune scores and prognosis, World Health Organization grade and FCGR2B expression in gliomas indicated that patients with high immune scores had significantly poorer overall survival and higher tumor pathological grade. In addition, immune scores were significantly positively correlated with the expression of FCGR2B. The analysis of tumor infiltrating immune cells suggested that the expression level of FCGR2B affected the immune activity of TME. In addition, the expression of FCGR2B was positively correlated with almost all immune checkpoint molecules including CD28, CD44, TNFSF14, PDCD1LG2, LAIR1, and CD48 and was significantly positively correlated with tumor mutation load. All immunobiological functions of the high expression group of FCGR2B were significantly inhibited. FCGR2B may play an important role in the occurrence, development and invasion of tumor by influencing the tumor microenvironment of immunosuppression. FCGR2B may be an important target for the treatment of glioma.

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Section: Discussionmentioning

confidence: 91%

FCGR2B as a prognostic and immune microenvironmental marker for gliomas based on transcriptomic analysis

Sun,

Yuan

et al. 2023

Medicine

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“…Gene expression analysis of the RNA samples derived from the peripheral blood of PCa patients using next-generation sequencing (NGS) identified a radiotherapy-induced downregulation of a six-gene signature consisting of CCR7, FCGR2B, BTLA, CD6, CD3D, and CD3E [41]. Given that low mRNA expression levels of the gene signature in prostate tumor tissue were correlated with a better 5-year prognosis, this could hold a potent predictive value, which remains to be confirmed by further exploiting the biobanked material.…”

Section: Exploitation Of the Stored Biomaterial: The Clinical Implica...mentioning

confidence: 99%

The Organization of Contemporary Biobanks for Translational Cancer Research

Gkioka,

Balaoura,

Goulielmaki

et al. 2023

Onco

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Cancer biobanks have a crucial role in moving forward the field of translational cancer research and, therefore, have been promoted as indispensable tools for advancing basic biomedical research to preclinical and clinical research, ultimately leading to the design of clinical trials. Consequently, they play an essential role in the establishment of personalized oncology by combining biological data with registries of detailed medical records. The availability of complete electronic medical reports from individualized patients has led to personalized approaches for diagnosis, prognosis, and prediction. To this end, identifying risk factors at early time points is important for designing more effective treatments unique for each patient. Under this aspect, biobanking is essential for accomplishing improvements in the field of precision oncology via the discovery of biomarkers related to cellular and molecular pathways regulating oncogenic signaling. In general terms, biological samples are thought to reflect the patient’s disease biology, but under certain conditions, these may also represent responses to various biological stresses. Divergent collection, handling, and storage methods may significantly change biosamples’ inherent biological properties. The alteration or loss of biological traits post-collection would lead to the discovery of nonreliable biomarkers and, consequently, to irreproducible results, thus constituting a formidable obstacle regarding the successful translation of preclinical research to clinical approaches. Therefore, a necessary prerequisite for successful biobanking is that the stored biological samples retain their biological characteristics unchanged. The application of quality standards for biospecimen collection and storage could be useful for generating encouraging preclinical data leading to the successful translation to clinical treatment approaches. Herein, we aim to comprehensively review the issues linked to biobank implementation for promoting cancer research.

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“…This has led to the development of the radiation sensitivity index, a tool used to predict a patient's response to radiation therapy. It is based on the idea that tumors with certain genetic or molecular characteristics may be more sensitive to radiation therapy [3,4]. Therefore, by analyzing these characteristics, it may be possible to predict which PCa patients will respond well to radiation therapy and have a better recurrence free survival [5].…”

Section: Introductionmentioning

confidence: 99%

Integrating Radiosensitivity Gene Signature Improves Prostate Cancer Outcome Prediction

Wu,

Zheng,

Jiang

et al. 2023

Preprint

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Background This study aimed to establish a nomogram that combine 31-gene signature (31-GS), radiosensitivity index (RSI) and radiation resistance related gene index (RRRI) for predicting recurrence and in prostate cancer (PCa) patients.Methods The transcriptome data of PCa were obtained from GEO and TCGA to validate the predictive potential of three sets of published biomarkers, the 31-GS, RSI and RRRI. To adjust these markers for the characteristics of prostate cancer, we integrated four new PCa-associated radiosensitivity predictive indexes based on 31-GS, RSI and RRRI by the Cox analysis and Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. A time-dependent receiver operating characteristic (ROC) curve, decision curve analyses (DCA), integrated discrimination improvement (IDI), and net reclassification improvement (NRI) were used to compare the radiosensitivity predictive ability of these four gene signatures. a nomogram was built to improve the recurrence prediction capability.Results We validated and compared the predictive potential of two published predictive indexes. Based on the 31-GS, RSI and RRRI, we integrated four PCa-associated radiosensitivity predictive indexes: 14Genes, RSI, RRRI, 20Genes. Among them, a 14-gene radiosensitivity predictive index showed the most promising predictive performance and discriminative capacity. The area under receiver operating characteristic curve for 14-gene is the highest in both TCGA and GSE cohort.Conclusions This study successfully established a Radiosensitivity related nomogram which had an excellent performance in predicting recurrence in patients with PCa. For patient who received radiation therapy, 20Genes and RRRI model can be used in predicting RFS while 20Genes is more radiotherapy-specific but needs further external validation.

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Radiotherapy-Related Gene Signature in Prostate Cancer

Cited by 5 publications

References 67 publications

FCGR2B as a prognostic and immune microenvironmental marker for gliomas based on transcriptomic analysis

FCGR2B as a prognostic and immune microenvironmental marker for gliomas based on transcriptomic analysis

The Organization of Contemporary Biobanks for Translational Cancer Research

Integrating Radiosensitivity Gene Signature Improves Prostate Cancer Outcome Prediction

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