Identification of an Immune-Related LncRNA Prognostic Signature in Uterine Corpus Endometrial Carcinoma Patients

Sun, Xiaoxi; Wen, Huiqin; Zhan, Bingxiang; Yang, Peng

doi:10.7754/clin.lab.2021.210401

Cited by 2 publications

(2 citation statements)

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“…The sequence also overlaps the intronic region of the lncRNA gene U91319 ( Table 2 ; Supplementary Table S2 ), although it does not belong to that lncRNA’s transcriptional unit. This lncRNA is part of an immune-related lncRNA signature predicting survival of uterine corpus endometrial carcinoma patients ( Sun et al, 2021 ), potentially suggesting a broad role for it in the disorders of the female reproductive system. In addition, U91319 was hypermethylated in astrocytomas, the most common type of glioma ( Bendahou et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Non-coding regions of nuclear-DNA-encoded mitochondrial genes and intergenic sequences are targeted by autoantibodies in breast cancer

et al. 2023

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Autoantibodies against mitochondrial-derived antigens play a key role in chronic tissue inflammation in autoimmune disorders and cancers. Here, we identify autoreactive nuclear genomic DNA (nDNA)-encoded mitochondrial gene products (GAPDH, PKM2, GSTP1, SPATA5, MFF, TSPOAP1, PHB2, COA4, and HAGH) recognized by breast cancer (BC) patients’ sera as nonself, supporting a direct relationship of mitochondrial autoimmunity to breast carcinogenesis. Autoreactivity of multiple nDNA-encoded mitochondrial gene products was mapped to protein-coding regions, 3’ untranslated regions (UTRs), as well as introns. In addition, autoantibodies in BC sera targeted intergenic sequences that may be parts of long non-coding RNA (lncRNA) genes, including LINC02381 and other putative lncRNA neighbors of the protein-coding genes ERCC4, CXCL13, SOX3, PCDH1, EDDM3B, and GRB2. Increasing evidence indicates that lncRNAs play a key role in carcinogenesis. Consistent with this, our findings suggest that lncRNAs, as well as mRNAs of nDNA-encoded mitochondrial genes, mechanistically contribute to BC progression. This work supports a new paradigm of breast carcinogenesis based on a globally dysfunctional genome with altered function of multiple mitochondrial and non-mitochondrial oncogenic pathways caused by the effects of autoreactivity-induced dysregulation of multiple genes and their products. This autoimmunity-based model of carcinogenesis will open novel avenues for BC treatment.

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Section: Discussionmentioning

confidence: 99%

Non-coding regions of nuclear-DNA-encoded mitochondrial genes and intergenic sequences are targeted by autoantibodies in breast cancer

et al. 2023

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“…It is worth mentioning that the prediction effect of combining MRLM with clinical factors was better (Figures 5(d)-5(f)). In order to verify the performance of our model, we chose four other reported models to compare, namely, a 5-gene signature [37], a 13-gene signature [38], a 5-gene signature [39], and an 11-gene signature [40]. To make the models comparable, we assessed the risk score of each sample in all TCGA cohorts via a multivariable Cox regression analysis.…”

Section: Construction and Verification Of Nomogrammentioning

confidence: 99%

N1-Methyladenosine-Related lncRNAs Are Potential Biomarkers for Predicting Prognosis and Immune Response in Uterine Corpus Endometrial Carcinoma

Liu

Geng

Zhong

et al. 2022

Oxidative Medicine and Cellular Longevity

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Uterine corpus endometrial carcinoma (UCEC) is a malignant disease that, at present, has no well-characterised prognostic biomarker. In this study, two clusters were identified based on 28 N1-methyladenosine- (m1A-) related long noncoding RNAs (lncRNAs), of which cluster 1 was related to immune pathways according to the results of an enrichment analysis. We further observed better prognosis in patients with higher levels of immune cell infiltration, tumor mutation burden, microsatellite instability, and immune checkpoint gene expression. In addition, through Cox regression analysis and least absolute shrinkage and selection operator regression analysis, 10 m1A-related lncRNAs (mRLs) were employed to build a prognosis model. We found that people in higher risk categories had a poorer survival probability than those in lower risk. Low-risk samples were enriched with immune-related pathways, while the high-risk group was similar to the definition of the “immune desert” phenotype, which was associated with decreased immune infiltration, T cell failure, and decreased tumor mutation burden, while also being insensitive to immunotherapy and chemotherapy. This mRL-based model has the ability to accurately predict the prognosis of UCEC patients, and the mRLs could become promising therapeutic targets in enhancing the response of immunotherapy.

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Identification of an Immune-Related LncRNA Prognostic Signature in Uterine Corpus Endometrial Carcinoma Patients

Cited by 2 publications

References 0 publications

Non-coding regions of nuclear-DNA-encoded mitochondrial genes and intergenic sequences are targeted by autoantibodies in breast cancer

Non-coding regions of nuclear-DNA-encoded mitochondrial genes and intergenic sequences are targeted by autoantibodies in breast cancer

N1-Methyladenosine-Related lncRNAs Are Potential Biomarkers for Predicting Prognosis and Immune Response in Uterine Corpus Endometrial Carcinoma

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