&lt;p&gt;TNF-like ligand 1A is associated with progression and prognosis of human gastric cancer&lt;/p&gt;

Gao, Yaxian; Wang, Yuanyuan; Xiao, Wang; Wang, Yongwei; Zhang, Xiaoqing; Sun, Xun

doi:10.2147/ott.s210939

Cited by 3 publications

(3 citation statements)

References 32 publications

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“…In addition, Jiang et al (2019) suggested that DPYSL4 is significantly associated with OS in hepatocellular carcinoma. High expression of ISG20 is related to poor clinical outcomes in glioblastoma (Gao et al, 2019). GRM8 is a tumour-suppressor gene in endometrial cancer cell lines (Liang et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Comprehensive pathway-related genes signature for prognosis and recurrence of ovarian cancer

Zhao

2020

PeerJ

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Background Ovarian cancer (OC) is a highly malignant disease with a poor prognosis and high recurrence rate. At present, there is no accurate strategy to predict the prognosis and recurrence of OC. The aim of this study was to identify gene-based signatures to predict OC prognosis and recurrence. Methods mRNA expression profiles and corresponding clinical information regarding OC were collected from The Cancer Genome Atlas (TCGA) database. Gene set enrichment analysis (GSEA) and LASSO analysis were performed, and Kaplan–Meier curves, time-dependent ROC curves, and nomograms were constructed using R software and GraphPad Prism7. Results We first identified several key signalling pathways that affected ovarian tumorigenesis by GSEA. We then established a nine-gene-based signature for overall survival (OS) and a five-gene-based-signature for relapse-free survival (RFS) using LASSO Cox regression analysis of the TCGA dataset and validated the prognostic value of these signatures in independent GEO datasets. We also confirmed that these signatures were independent risk factors for OS and RFS by multivariate Cox analysis. Time-dependent ROC analysis showed that the AUC values for OS and RFS were 0.640, 0.663, 0.758, and 0.891, and 0.638, 0.722, 0.813, and 0.972 at 1, 3, 5, and 10 years, respectively. The results of the nomogram analysis demonstrated that combining two signatures with the TNM staging system and tumour status yielded better predictive ability. Conclusion In conclusion, the two-gene-based signatures established in this study may serve as novel and independent prognostic indicators for OS and RFS.

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Section: Discussionmentioning

confidence: 99%

Comprehensive pathway-related genes signature for prognosis and recurrence of ovarian cancer

Zhao

2020

PeerJ

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“…Several key cytokines take a major role in this step, including IL-17A, granulocyte-colony stimulating factor (G-CSF), granulocyte-macrophage colony-stimulating factor (GM-CSF), and TNFa. All these cytokines are largely produced at tumor sites, and their blood levels increase during cancer diseases (48)(49)(50)(51)(52)(53)(54)(55)(56). Concurrent myelopoiesis at the BM and secondary lymphatic organs may allow intensive accumulation of myeloid cells at the tumor site (1,2,14).…”

Section: The Recruitment Of Mdsc At Tumor Sites As a Multistep Event mentioning

confidence: 99%

The Development and Homing of Myeloid-Derived Suppressor Cells: From a Two-Stage Model to a Multistep Narrative

Karin

2020

Front. Immunol.

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Myeloid-derived suppressor cells (MDSC) represent a heterogeneous population of immature myeloid cells. Under normal conditions, they differentiate into macrophages, dendritic cells, and granulocytes. Under pathological conditions, such as chronic inflammation, or cancer, they tend to maintain their immature state as immature myeloid cells that, within the tumor microenvironment, become suppressor cells and assist tumor escape from immune eradication. MDSC are comprised of two major subsets: monocytic MDSC (M-MDSC) and polymorphonuclear MDSC (PMN-MDSC). Monocytic myeloid cells give rise to monocytic cells, whereas PMN-MDSC share similarities with neutrophils. Based on their biological activities, a two-stage model that includes the mobilization of the periphery as myeloid cells and their activation within the tumor microenvironment converting them into suppressor cells was previously suggested by D. Gabrilovich. From the migratory viewpoint, we are suggesting a more complex setup. It starts with crosstalk between the tumor site and the hematopoietic stem and progenitor cells (HSPCs) at the bone marrow (BM) and secondary lymphatic organs, resulting in rapid myelopoiesis followed by mobilization to the blood. Although myelopoiesis is coordinated by several cytokines and transcription factors, mobilization is selectively directed by chemokine receptors and may differ between M-MDSC and PMN-MDSC. These myeloid cells may then undergo further expansion at these secondary lymphatic organs and then home to the tumor site. Finally, selective homing of T cell subsets has been associated with retention at the target organs directed by adhesion molecules or chemokine receptors. The possible relevance to myeloid cells is still speculative but is discussed.

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“…Studies have shown that the TNF family of cytokines and their receptors such as tumor necrosis factor receptor-associated factor 2 and TNF-like ligand 1A are associated with the prognosis of gastric cancer. [ 45 , 46 ] In addition, NOX4 predicts a poor prognosis of gastric cancer patients. [ 47 , 48 ] However, the prognostic values of DUSP1 and LONP1 remain unclear.…”

Section: Discussionmentioning

confidence: 99%

Identification and characterization of ferroptosis-related genes in therapy-resistant gastric cancer

Yu,

Li,

Huang

et al. 2024

Medicine

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Therapy resistance in gastric cancer poses ongoing challenges, necessitating the identification of ferroptosis-related genes linked to overall survival for potential therapeutic insights. The purpose of the study was to identify ferroptosis-related genes contributing to therapy resistance in gastric cancer and explore their associations with overall survival. Differentially expressed ferroptosis-related genes were identified in therapy-resistant versus therapy-responsive gastric cancer patients. Hub genes were selected from these genes. Enrichment analysis focused on oxidative stress and ROS metabolism. Validation was conducted in a TCGA stomach adenocarcinoma dataset. A hub gene-based risk model (DUSP1/TNF/NOX4/LONP1) was constructed and assessed for overall survival prediction. Associations with the tumor immune microenvironment were examined using the ESTIMATE algorithm and correlation analysis. Ten hub genes were identified, enriched in oxidative stress and ROS metabolism. Validation confirmed their aberrant expressions in the TCGA dataset. The hub gene-based risk model effectively predicted overall survival. High G6PD/TNF expression and low NOX4/SREBF1/MAPK3/DUSP1/KRAS/SIRT3/LONP1 expression correlated with stromal and immune scores. KRAS/TNF/MAPK3 expression positively correlated with immune-related SREBF1/NOX4 expression. DUSP1/NOX4/SREBF1/TNF/KRAS expression was associated with immune cell infiltration. The hub gene-based risk model (DUSP1/TNF/NOX4/LONP1) shows promise as an overall survival predictor in gastric cancer. Ferroptosis-related hub genes represent potential therapeutic targets for overcoming therapy resistance in gastric cancer treatment.

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<p>TNF-like ligand 1A is associated with progression and prognosis of human gastric cancer</p>

Cited by 3 publications

References 32 publications

Comprehensive pathway-related genes signature for prognosis and recurrence of ovarian cancer

Comprehensive pathway-related genes signature for prognosis and recurrence of ovarian cancer

The Development and Homing of Myeloid-Derived Suppressor Cells: From a Two-Stage Model to a Multistep Narrative

Identification and characterization of ferroptosis-related genes in therapy-resistant gastric cancer

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