Expression profiles and prognostic significance of AFTPH in different tumors

Zhu, Tengjiao; Chen, Yingtong; Liu, Zhongjun; Leng, Yuxin; Tian, Yun

doi:10.1002/2211-5463.13003

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…Interestingly, the loss of AKAP12 and ZNF483 expression were described in prostate cancer [ 33 ] and acute lymphoblastic leukemia [ 34 ], respectively; on the other hand, AFTPH was the most up regulated circRNA in our analysis. This gene has been reported as a potential target and prognostic factor, because of its effects on proliferation, in different types of cancer such as breast cancer, diffuse large B-cell lymphoma, lung squamous cell carcinoma, and pancreatic adenocarcinoma, in which it is over-expressed [ 35 ]. Nevertheless, there are no studies to date about the role of these circRNAs.…”

Section: Discussionmentioning

confidence: 99%

Circular RNAs Could Encode Unique Proteins and Affect Cancer Pathways

Crudele

Bianchi

Terrazzan

et al. 2023

Biology

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circRNAs constitute a novel class of RNA, generally considered as non-coding RNAs; nonetheless, their coding potential has been under scrutiny. In this work, we systematically explored the predicted proteins of more than 160,000 circRNAs detected by exome capture RNA-sequencing and collected in the MiOncoCirc pan-cancer compendium, including normal and cancer samples from different types of tissues. For the functional evaluation, we compared their primary structure and domain composition with those derived from the same linear mRNAs. Among the 4362 circRNAs potentially encoding proteins with a unique primary structure and 1179 encoding proteins with a novel domain composition, 183 were differentially expressed in cancer. In particular, eight were associated with prognosis in acute myeloid leukemia. The functional classification of the dysregulated circRNA-encoded polypeptides showed an enrichment in the heme and cancer signaling, DNA-binding, and phosphorylation processes, and disclosed the roles of some circRNA-based effectors in cancer.

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Section: Discussionmentioning

confidence: 99%

Circular RNAs Could Encode Unique Proteins and Affect Cancer Pathways

Crudele

Bianchi

Terrazzan

et al. 2023

Biology

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“…Some literature have been reported reducing the expression of ABBC4 in pancreatic cancer cells significantly inhibited the proliferation and migration of cancer cells [ 21 ]. AFTPH (Aftiphilin) was highly expressed in diffuse large B cell lymphoma, pancreatic adenocarcinoma, breast cancer, and lung squamous cell carcinoma and linked to poor prognosis [ 22 ]. Besides, high expression of ADAM15 was an independent risk factor for the prognosis of hepatocellular carcinoma [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

Identification of RNA Modification-Associated Alternative Splicing Signature as an Independent Factor in Head and Neck Squamous Cell Carcinoma

Liu

Deng

Xiao

et al. 2022

Journal of Immunology Research

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Objective. Head and neck squamous cell carcinoma (HNSCC) is a highly heterotopic malignant tumor. Alternative splicing (AS) and RNA modification have been reported to be involved in tumorigenesis. Therefore, we constructed RNA modification-associated AS (RMA-AS) signature model to predict the prognosis of HNSCC. Methods. AS events and RNA-modified gene expression information were downloaded from TCGA-HNSCC database. Univariate Cox regression analysis was employed for analyzing prognosis-related AS events. RMA-AS events were obtained by constructing a coexpression network between RNA modification-associated genes and AS events using WGCNA package. The prognostic signatures were analyzed by LASSO, univariate Cox, and multivariate Cox regression. Kaplan-Meier survival analysis, proportional hazard model, and ROC curve were performed to verify the prognostic value. “ESTIMATE” R package, ssGSEA algorithm, and CIBERSORT method were used to detect immune microenvironment in HNSCC. Cytoscape was utilized to build a regulatory network of splicing factor-regulated RMA-AS. Results. There were 16,574 prognostic AS events and 4 differentially expressed RNA modification-associated genes in HNSCC. Based on RMA-AS events, we obtained a risk model consisting of 14 AS events, named RMA-AS_Score. The samples were divided into RMA-AS_Score high- and RMA-AS_Score low-risk groups, according to the risk score. The RMA-AS_Score high group was related to poor prognosis. Moreover, the RMA-AS_Score signature was an independent prognostic predictor and was related to tumor grade. Meanwhile, the AUC value of RMA-AS_Score was 0.652, which is better than other clinical characteristics. Besides, a nomogram prediction model of quantitative prognosis has also been developed, which has robust effectiveness in predicting prognosis. In addition, the prognostic signature was observably related to immune microenvironment and immune checkpoint. Finally, 14 splicing factors were identified and constructed into a network of splicing factor-regulated RMA-AS. Conclusion. We identified the RMA-AS signature of HNSCC. This signature could be treated as an independent prognostic predictor.

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