Prognosis and immune infiltration analysis of endoplasmic reticulum stress-related genes in bladder urothelial carcinoma

Wang, Yaxuan; Zhu, Hao; Wang, Xiaolin

doi:10.3389/fgene.2022.965100

Cited by 10 publications

(8 citation statements)

References 42 publications

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“…3B). Interestingly, the most significant positive relationships were seen to proteins with known roles in cancer progression and development: protein YIF1A 38 , ubiquitin associated protein 1 (UBAP1) 39 , DDRGK domain-containing protein 1 40 and syntaxin-5 (STX5) 41 . This is relevant to reports of poor glycemic control being associated with and increased risk of multiple cancers 42 .…”

Section: Resultsmentioning

confidence: 99%

Proteomic predictors of individualized nutrient-specific insulin secretion in health and disease

Kolic

Sun

Cen

et al. 2023

Preprint

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Population level variation and molecular mechanisms behind insulin secretion in response to carbohydrate, protein, and fat remain uncharacterized despite ramifications for personalized nutrition.We now define prototypical insulin secretion dynamics in response to the three macronutrients in islets from 140 cadaveric donors, including those diagnosed with type 2 diabetes. We leverage the insulin response heterogeneity and use transcriptomics and proteomics to identify molecular pathways of specific nutrient responsiveness. Surprisingly, we find robust insulin secretion to fatty acid stimulus in ~8% of donors, challenging the idea that fat has negligible effects on insulin release. By comparing human islets to human embryonic stem cell-derived islet clusters, we show that, unlike glucose-responsiveness, fat hyper-responsiveness is equivalent and may be a hallmark of functionally immature cells. Our study represents the first comparison of dynamic responses to nutrients and multi-omics analysis in human insulin secreting cells. Responses of different people's islets to carbohydrate, protein, and fat lay the groundwork for personalized nutrition.

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Section: Resultsmentioning

confidence: 99%

Proteomic predictors of individualized nutrient-specific insulin secretion in health and disease

Kolic

Sun

Cen

et al. 2023

Preprint

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“…To acquire a more profound comprehension of the oncogenic functions of the target genes, we implemented the ClusterProfiler package in R to assess the GO functionality of potential mRNAs and to enrich the KEGG pathways. Additionally, the ClusterProfiler tool offers the capability to execute gene set enrichment analysis (GSEA) 19,20 …”

Section: Methodsmentioning

confidence: 99%

“…Additionally, the ClusterProfiler tool offers the capability to execute gene set enrichment analysis (GSEA). 19,20…”

Section: Gene Function Analysismentioning

confidence: 99%

Common immunological and prognostic features of lung and bladder cancer via smoking‐related genes: PRR11 gene as potential immunotherapeutic target

Wang,

Zhu,

Zhang

et al. 2024

J Cellular Molecular Medi

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Smoking is a well‐known risk factor for non‐small‐cell lung cancer (NSCLC) and bladder urothelial carcinoma (BLCA). Despite this, there has been no investigation into a prognostic marker based on smoking‐related genes that could universally predict prognosis in these cancers and correlate with immune checkpoint therapy. This study aimed to identify smoking‐related differential genes in NSCLC and BLCA, analyse their roles in patient prognosis and immune checkpoint therapy through subgroup analyses, and shed light on PRR11 as a crucial prognostic gene in both cancers. By examining PRR11 co‐expressed genes, a prognostic model was constructed and its impact on immunotherapy for NSCLC and BLCA was evaluated. Molecular docking and tissue microarray analyses were conducted to explore the correlation between PRR11 and its reciprocal gene SPDL1. Additionally, miRNAs associated with PRR11 were analysed. The study confirmed a strong link between smoking‐related genes, prognosis, and immune checkpoint therapy in NSCLC and BLCA. PRR11 was identified as a key smoking‐associated gene that influences the efficacy of immune checkpoint therapy by modulating the stemness of these cancers. A prognostic model based on PRR11 co‐expressed genes in BLCA was established and its prognostic value was validated in NSCLC. Furthermore, it was found that PRR11 regulates PDL1 via SPDL1, impacting immunotherapeutic efficacy in both cancers. The involvement of hsa‐miR‐200b‐3p in the regulation of SPDL1 expression by PRR11 was also highlighted. Overall, the study elucidates that PRR11 modulates patient immunotherapy by influencing PDL1 expression through its interaction with SPDL1, with potential upstream regulation by hsa‐miR‐200b‐3p.

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“…Therefore, further exploration of the clinical application of BLCA immunotherapy is warranted [ 6 , 7 ]. The identification of relevant immune-related prognostic markers through screening will offer additional avenues for enhancing BLCA immunotherapy [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Prognostic significance and immunoinfiltration analysis of genes associated with epithelial-mesenchymal transition and energy metabolism in bladder urothelial carcinoma

Qiu,

Ye,

Wang

et al. 2023

Aging

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Background: Epithelial-mesenchymal transition (EMT) and aberrant energy metabolism are pivotal biological processes in tumor progression, significantly impacting tumor prognosis. However, the relationship between EMT, energy metabolism, and the immune microenvironment in bladder urothelial carcinoma (BLCA) remains inadequately understood. Methods: Bladder cancer samples from The Cancer Genome Atlas were categorized into two groups via clustering analysis to elucidate disparities in expression, prognostic significance, and immune infiltration of genes associated with EMT and energy metabolism between these groups. Key genes associated with EMT and energy metabolism in BLCA were identified through Cox multifactorial regression analysis, immune infiltration analysis, etc. Subsequently, their prognostic significance in BLCA was validated. Results: Cluster analysis revealed significant differences in the expression of genes associated with EMT and energy metabolism between the two groups. Group 2 exhibited significantly improved overall survival and progression-free survival compared to Group 1. Chondroitin sulfate proteoglycan 4 (CSPG4) emerged as the most critical gene associated with EMT, energy metabolism, prognosis, and immune infiltration in BLCA. Immunohistochemical assays demonstrated differential expression of CSPG4 in bladder tumors and normal bladder tissues, with high CSPG4 expression correlating with a poorer BLCA prognosis. Furthermore, CSPG4 exhibited an association with the immune checkpoint molecule programmed death-1 (PD1) in BLCA. Conclusions: EMT and energy metabolism exert pivotal influences on the immune microenvironment in BLCA. CSPG4 holds promise as a prognostic biomarker for patients with BLCA, offering valuable insights into potential immunotherapeutic strategies for this patient population.

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Prognosis and immune infiltration analysis of endoplasmic reticulum stress-related genes in bladder urothelial carcinoma

Cited by 10 publications

References 42 publications

Proteomic predictors of individualized nutrient-specific insulin secretion in health and disease

Proteomic predictors of individualized nutrient-specific insulin secretion in health and disease

Common immunological and prognostic features of lung and bladder cancer via smoking‐related genes: PRR11 gene as potential immunotherapeutic target

Prognostic significance and immunoinfiltration analysis of genes associated with epithelial-mesenchymal transition and energy metabolism in bladder urothelial carcinoma

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