AFP peptide (AFPep) as a potential growth factor for prostate cancer

Zhu, Ziwen; West, Gage R; Wang, David C.; Collins, Alexander B; Xiao, Hualiang; Bai, Qian; Mesfin, Fassil B.; Wakefield, Mark R.; Fang, Yujiang

doi:10.1007/s12032-021-01598-4

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…COL10A1 from cancer-associated fibroblasts promotes LUSC cell proliferation and inhibits oxidative stress-induced apoptosis, and may also serve as a potential biomarker for gastric cancer progression and prognosis (34,35). In addition, AFP is a popular clinical biomarker for HCC, and it can also be used as a potential prognostic biomarker for PCa (36,37). Furthermore, we performed an enrichment analysis of DEGs for both risk types and found that these genes were mainly focused on metabolic and immunoregulatory pathways, such as the IL17 signaling pathway, fat and protein digestion and absorption signaling pathway, and TNF signaling pathway.…”

Section: Discussionmentioning

confidence: 96%

Comprehensive analysis of the biological functions of endoplasmic reticulum stress in prostate cancer

Cen

Jiang²,

Lv³

et al. 2023

Front. Endocrinol.

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IntroductionEndoplasmic reticulum stress (ERS) has sizeable affect on cancer proliferation, metastasis, immunotherapy and chemoradiotherapy resistance. However, the effect of ERS on the biochemical recurrence (BCR) of prostate cancer patients remains elusive. Here, we generated an ERS-related genes risk signature to evaluate the physiological function of ERS in PCa with BCR.MethodsWe collected the ERS-related genes from the GeneCards. The edgeR package was used to screen the differential ERS-related genes in PCa from TCGA datasets. ERS-related gene risk signature was then established using LASSO and multivariate Cox regression models and validated by GEO data sets. Nomogram was developed to assess BCR-free survival possibility. Meanwhile, the correlations between ERS-related signature, gene mutations, drug sensitivity and tumor microenvironment were also investigated. ResultsWe obtained an ERS risk signature consisting of five genes (AFP, COL10A1, DNAJB1, EGF and PTGS2). Kaplan Meier survival analysis and ROC Curve analysis indicated that the high risk score of ERS-related gene signature was associated with poor BCR-free prognosis in PCa patients. Besides, immune cell infiltration and immune checkpoint expression levels differed between high- and low-risk scoring subgroups. Moreover, drug sensitivity analyzed indicated that high-risk score group may be involved in apoptosis pathway. DiscussionThis study comprehensively analyzed the characteristics of ERS related genes in PCa, and created a five-gene signature, which could effectively predict the BCR time of PCa patients. Targeting ERS related genes and pathways may provide potential guidance for the treatment of PCa.

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Section: Discussionmentioning

confidence: 96%

Comprehensive analysis of the biological functions of endoplasmic reticulum stress in prostate cancer

Cen

Jiang²,

Lv³

et al. 2023

Front. Endocrinol.

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“…AFP peptide showed a specific effect on the PCa cell line DU-145. It significantly increased its proliferative activity ( 54 ). A group of gene markers including AFP showed good predictive ability for the risk of postoperative BCR in PCa patients with Gleason score≥7 ( 53 ).NOX4 is widely distributed in the matrix of PCa and has been shown to be involved in transforming primary prostate fibroblasts into cancer-related fibroblasts ( 55 ).…”

Section: Discussionmentioning

confidence: 99%

An anoikis-related gene signature for prediction of the prognosis in prostate cancer

Zhao,

Wang,

Tang

et al. 2023

Front. Oncol.

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PurposeThis study presents a novel approach to predict postoperative biochemical recurrence (BCR) in prostate cancer (PCa) patients which involves constructing a signature based on anoikis-related genes (ARGs).MethodsIn this study, we utilised data from TCGA-PARD and GEO databases to identify specific ARGs in prostate cancer. We established a signature of these ARGs using Cox regression analysis and evaluated their clinical predictive efficacy and immune-related status through various methods such as Kaplan-Meier survival analysis, subject work characteristics analysis, and CIBERSORT method. Our findings suggest that these ARGs may have potential as biomarkers for prostate cancer prognosis and treatment. To investigate the biological pathways of genes associated with anoikis, we utilised GSVA, GO, and KEGG. The expression of ARGs was confirmed by the HPA database. Furthermore, we conducted PPI analysis to identify the core network of ARGs in PCa.ResultsBased on analysis of the TCGA database, a set of eight ARGs were identified as prognostic signature genes for prostate cancer. The reliability and validity of this signature were well verified in both the TCGA and GEO codifications. Using this signature, patients were classified into two groups based on their risk for developing BCR. There was a significant difference in BCR-free time between the high and low risk groups (P < 0.05).This signature serves as a dependable and unbiased prognostic factor for predicting biochemical recurrence (BCR) in prostate cancer (PCa) patients. It outperforms clinicopathological characteristics in terms of accuracy and reliability. PLK1 may play a potential regulatory role as a core gene in the development of prostate cancer.ConclusionThis signature suggests the potential role of ARGs in the development and progression of PCa and can effectively predict the risk of BCR in PCa patients after surgery. It also provides a basis for further research into the mechanism of ARGs in PCa and for the clinical management of patients with PCa.

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“…Emerging evidence also suggests that specific SLiMs derived from or encompassing the alpha-fetoprotein (AFP), a well-known embryo-specific and cancer-related protein, may have antitumor effects in several types of cancer (BC, prostatic cancer, and hepatocellular carcinoma) [ 30 , 31 , 32 ]. In particular, the AFP C-terminal SLiM E 489 MTPVNPGV 497 can inhibit mouse uterine cell proliferation and has shown anticancer effects in MCF-7 breast cancer cells [ 30 ].…”

Section: Short Linear Motifs and Their Emerging Role In Cell Biology ...mentioning

confidence: 99%

Short Linear Motifs in Colorectal Cancer Interactome and Tumorigenesis

Fasano

Grossi

Forte

et al. 2022

Cells

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Colorectal tumorigenesis is driven by alterations in genes and proteins responsible for cancer initiation, progression, and invasion. This multistage process is based on a dense network of protein–protein interactions (PPIs) that become dysregulated as a result of changes in various cell signaling effectors. PPIs in signaling and regulatory networks are known to be mediated by short linear motifs (SLiMs), which are conserved contiguous regions of 3–10 amino acids within interacting protein domains. SLiMs are the minimum sequences required for modulating cellular PPI networks. Thus, several in silico approaches have been developed to predict and analyze SLiM-mediated PPIs. In this review, we focus on emerging evidence supporting a crucial role for SLiMs in driver pathways that are disrupted in colorectal cancer (CRC) tumorigenesis and related PPI network alterations. As a result, SLiMs, along with short peptides, are attracting the interest of researchers to devise small molecules amenable to be used as novel anti-CRC targeted therapies. Overall, the characterization of SLiMs mediating crucial PPIs in CRC may foster the development of more specific combined pharmacological approaches.

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AFP peptide (AFPep) as a potential growth factor for prostate cancer

Cited by 5 publications

References 27 publications

Comprehensive analysis of the biological functions of endoplasmic reticulum stress in prostate cancer

Comprehensive analysis of the biological functions of endoplasmic reticulum stress in prostate cancer

An anoikis-related gene signature for prediction of the prognosis in prostate cancer

Short Linear Motifs in Colorectal Cancer Interactome and Tumorigenesis

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