Identifying immune subtypes of uterine corpus endometrial carcinoma and a four-paired-lncRNA signature with immune-related lncRNAs

Li, Nan; Yu, Kai; Zeng, Dingyuan

doi:10.1177/15353702211053588

Cited by 5 publications

(5 citation statements)

References 49 publications

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“…A high-risk group may be more sensitive to PD – 1/L1 immunotherapy and JNK inhibitors VIII, Z.LLNle.CHO, DMOG. The four immune-related lncRNAs were extremely effective in the overall OS prognosis of UCEC, which was similar to our study design ( 32 ). It was nevertheless possible for them to distinguish patients from different UCECs despite the NMF algorithm they employed to classify the population.…”

Section: Discussionsupporting

confidence: 86%

“…GSEA showed that cell cycle, fc gamma r mediated phagocytosis, Nod like receptor signaling pathway, pathways in cancer, oocyte meiosis, progesterone mediated oocyte maturation, ubiquitin mediated proteolysis, Notch signaling pathway, JAK-STAT signaling pathway, erbb signaling pathway were mainly enriched in the high-risk group. PHE The four immune-related lncRNAs were extremely effective in the overall OS prognosis of UCEC, which was similar to our study design (32). It was nevertheless possible for them to distinguish patients from different UCECs despite the NMF algorithm they employed to classify the population.…”

Section: Discussionsupporting

confidence: 80%

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Endoplasmic reticulum stress related IncRNA signature predicts the prognosis and immune response evaluation of uterine corpus endometrial carcinoma

Shen

Yang

2023

Front. Oncol.

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BackgroundEndoplasmic reticulum (ER) stress is closely related to the occurrence, development and treatment of tumors. Recent studies suggest ER stress as a therapeutic strategy of choice for cancer. However, ER stress-related long non-coding RNA (lncRNA) predictive value in endometrial carcinoma (UCEC) remains to be further evaluated. The purpose of this study was to establish relies on the signature of ER stress-related lncRNA forecast to predict the prognosis of patients with UCEC.MethodsWe downloaded the RNA expression profile dataset and matched clinical data from the Cancer Genome Atlas (TCGA) database, and applied univariate and multivariate Cox regression analysis to build predictive signature. Kaplan-meier method was used to evaluate overall survival (OS) and disease-free survival (DFS). Gene set enrichment analysis (GSEA) was used to study the functional characteristics. Single sample Gene set enrichment analysis (ssGSEA) was used to analyze the relationship between immune status and predicted signature. Correlations between the potential usefulness of treatment for UCEC patients and predictive signature were also analyzed.ResultsWe established a signature composed of eight ER stress-related lncRNAs (MIR34AHG, AC073842.2, PINK1AS, AC024909.2, MIR31HG, AC007422.2, AC061992.1, AC003102.1). The signature of ER stress-related lncRNA provided better diagnostic value compared with age and tumor grade, and the area under the receiver operating curve was 0.788. The overall and disease-free survival probability of patients in the high-risk group is lower than that in the low-risk group. GSEA indicated that the pathways were mainly enriched for cancer, immunity and reproduction related pathways. ss-GSEA shows that prediction signature and activation of dendritic cells, immature dendritic cells, T helper cells and immune status of the Treg are significantly related. High-risk groups may against PD - 1/L1 immunotherapy and JNK inhibitors VIII, Z.LLNle.CHO, DMOG and JNK. 9 l more sensitive.ConclusionThe ER stress signature can independently predict the prognosis of UCEC patients, and provide guidance for conventional chemotherapy and immunotherapy of UCEC patients.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionsupporting

confidence: 80%

Endoplasmic reticulum stress related IncRNA signature predicts the prognosis and immune response evaluation of uterine corpus endometrial carcinoma

Shen

Yang

2023

Front. Oncol.

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“…These findings not only support the results of this study, but further support ongoing research demonstrating GZMK's role in breast cancer progression. Similarly, GZMB mutations in GBM and PRF1 mutations in colorectal cancer and UCEC align with literature suggesting the impact of these genes on patient survival in specific cancer types [56][57][58][59][60].…”

Section: Discussionsupporting

confidence: 81%

Comprehensive Analysis of Granzymes and Perforin Family Genes in Pan-Cancer

Mareboina,

Bakhl,

Agioti

et al. 2024

Preprint

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Cancer remains a significant global health concern, with immunotherapies emerging as promising treatments. This study explores the role of perforin-1 (PRF1) and granzymes-A, -B and -K (GZMA, GZMB and GZMK) in cancer biology, focusing on their impact on tumor cell death and immune response modulation. Through comprehensive genomic analysis across various cancer types we explored the differential expression, mutation profiles, and methylation patterns of these genes, providing insights into their potential as therapeutic targets. Furthermore, we investigated their association with immune cell infiltration and pathway activation within the tumor microenvironment in each cancer. Our findings reveal distinct expression patterns and prognostic implications of PRF1, GZMA, GZMB and GZMK across different cancers, highlighting their multifaceted roles in tumor immunity. We found increased immune infiltration across all tumor types and significant correlations between the genes of interest and cytotoxic T cells, as well as the greatest significant survival outcomes in breast cancer. We also show that granzymes and perforin-1 are significantly associated with indicators of immunosuppression and T cell dysfunction within patient cohorts. In skin melanoma, glioblastoma, kidney and bladder cancer we found significant correlations between the genes of interest and patient survival after receiving immune-checkpoint inhibition therapy. Additionally, we identified potential associations between the mRNA expression levels of these genes and drug sensitivity. Overall, this study enhances our understanding of the molecular mechanisms underlying tumor immunity and provides valuable insights into the potential therapeutic implications of PRF1, GZMA, GZMB and GZMK in cancer treatment.

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“…LncRNAs have regulatory functions [29,30]. They participate in epigenetic regulation, maintain chromatin structure, and modulate transcription [30,31].…”

Section: Discussionmentioning

confidence: 99%

Integration of Genomic and Clinical Retrospective Data to Predict Endometrioid Endometrial Cancer Recurrence

Bosquet

Gabrilovich

McDonald

et al. 2022

IJMS

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Endometrial cancer (EC) incidence and mortality continues to rise. Molecular profiling of EC promises improvement of risk assessment and treatment selection. However, we still lack robust and accurate models to predict those at risk of failing treatment. The objective of this pilot study is to create models with clinical and genomic data that will discriminate patients with EC at risk of disease recurrence. We performed a pilot, retrospective, case–control study evaluating patients with EC, endometrioid type: 7 with recurrence of disease (cases), and 55 without (controls). RNA was extracted from frozen specimens and sequenced (RNAseq). Genomic features from RNAseq included transcriptome expression, genomic, and structural variation. Feature selection for variable reduction was performed with univariate ANOVA with cross-validation. Selected variables, informative for EC recurrence, were introduced in multivariate lasso regression models. Validation of models was performed in machine-learning platforms (ML) and independent datasets (TCGA). The best performing prediction models (out of >170) contained the same lncRNA features (AUC of 0.9, and 95% CI: 0.75, 1.0). Models were validated with excellent performance in ML platforms and good performance in an independent dataset. Prediction models of EC recurrence containing lncRNA features have better performance than models with clinical data alone.

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Identifying immune subtypes of uterine corpus endometrial carcinoma and a four-paired-lncRNA signature with immune-related lncRNAs

Cited by 5 publications

References 49 publications

Endoplasmic reticulum stress related IncRNA signature predicts the prognosis and immune response evaluation of uterine corpus endometrial carcinoma

Endoplasmic reticulum stress related IncRNA signature predicts the prognosis and immune response evaluation of uterine corpus endometrial carcinoma

Comprehensive Analysis of Granzymes and Perforin Family Genes in Pan-Cancer

Integration of Genomic and Clinical Retrospective Data to Predict Endometrioid Endometrial Cancer Recurrence

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