Peptide SMIM30 promotes HCC development by inducing SRC/YES1 membrane anchoring and MAPK pathway activation

Pang, Yanan; Li, Yong; Han, Hong; Wang, Beilei; Li, Wei; Mao, Chuanbin; Liu, Shanrong

doi:10.1016/j.jhep.2020.05.028

Cited by 124 publications

(90 citation statements)

References 44 publications

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“…With the development of molecular biology, many new biomarkers have emerged to prompt the prognosis of HCC patients. Peptide SMIM30 promotes HCC development by inducing SRC/YES1 membrane anchoring and MAPK pathway activation [17]. Ectosomal PKM2 promotes HCC by inducing macrophage differentiation and remodeling the tumor microenvironment [18].…”

Section: Discussionmentioning

confidence: 99%

A genomic-clinicopathologic nomogram for predicting overall survival of hepatocellular carcinoma

Zhou

Cai

2020

BMC Cancer

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Background Hepatocellular carcinoma (HCC) is a common digestive tumor with great heterogeneity and different overall survival (OS) time, causing stern problems for selecting optimal treatment. Here we aim to establish a nomogram to predict the OS in HCC patients. Methods International Cancer Genome Consortium (ICGC) database was searched for the target information in our study. Lasso regression, univariate and multivariate cox analysis were applied during the analysis process. And a nomogram integrating model scoring and clinical characteristic was drawn. Results Six mRNAs were screened out by Lasso regression to make a model for predicting the OS of HCC patients. And this model was proved to be an independent prognostic model predicting OS in HCC patients. The area under the ROC curve (AUC) of this model was 0.803. TCGA database validated the significant value of this 6-mRNA model. Eventually a nomogram including 6-mRNA risk score, gender, age, tumor stage and prior malignancy was set up to predict the OS in HCC patients. Conclusions We established an independent prognostic model of predicting OS for 1–3 years in HCC patients, which is available to all populations. And we developed a nomogram on the basis of this model, which could be of great help to precisely individual treatment measures.

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Section: Discussionmentioning

confidence: 99%

A genomic-clinicopathologic nomogram for predicting overall survival of hepatocellular carcinoma

Zhou

Cai

2020

BMC Cancer

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“…SMIM30, rather than the lncRNA itself, facilitated HCC tumorigenesis by regulating cell proliferation and migration. Moreover, c-Myc increased SMIM30 transcription and SMIM30 promoted the non-receptor tyrosine kinase SRC/YES1, thus activating the MAPK signaling pathway [40].…”

Section: Smim30mentioning

confidence: 96%

Emerging role of long noncoding RNA-encoded micropeptides in cancer

Ye¹,

Zhang²,

Wang³

et al. 2020

Cancer Cell Int

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Increasing evidence has indicated that long noncoding RNAs (lncRNAs) play various important roles in the development of cancers. The widespread applications of ribosome profiling and ribosome nascent chain complex sequencing revealed that some short open reading frames of lncRNAs have micropeptide-coding potential. The resulting micropeptides have been shown to participate in N6-methyladenosine modification, tumor angiogenesis, cancer metabolism, and signal transduction. This review summarizes current information regarding the reported roles of lncRNA-encoded micropeptides in cancer, and explores the potential clinical value of these micropeptides in the development of anti-cancer drugs and prognostic tumor biomarkers.

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“…The study discovered that LINC00998 can produce a 7.3 kDa peptide SMIM30 on cell membrane. If mutate the start codons of LINC00998’s ORF, SMIM30 cannot perform its carcinogenesis by activating protein tyroaine kinase membrane anchoring and MAPK pathway ( 42 ).…”

Section: Introductionmentioning

confidence: 99%

LncRNA-Encoded Peptide: Functions and Predicting Methods

et al. 2021

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Long non-coding RNA (lncRNA) was originally defined as the representative of the non-coding RNAs and unable to encode. However, recent reports suggest that some lncRNAs actually contain open reading frames that encode peptides. These coding products play important roles in the pathogenesis of many diseases. Here, we summarize the regulatory pathways of mammalian lncRNA-encoded peptides in influencing muscle function, mRNA stability, gene expression, and so on. We also address the promoting and inhibiting functions of the peptides in different cancers and other diseases. Then we introduce the computational predicting methods and data resources to predict the coding ability of lncRNA. The intention of this review is to provide references for further coding research and contribute to reveal the potential prospects for targeted tumor therapy.

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Peptide SMIM30 promotes HCC development by inducing SRC/YES1 membrane anchoring and MAPK pathway activation

Cited by 124 publications

References 44 publications

A genomic-clinicopathologic nomogram for predicting overall survival of hepatocellular carcinoma

A genomic-clinicopathologic nomogram for predicting overall survival of hepatocellular carcinoma

Emerging role of long noncoding RNA-encoded micropeptides in cancer

LncRNA-Encoded Peptide: Functions and Predicting Methods

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