GIPC2 is an endocrine-specific tumor suppressor gene for both sporadic and hereditary tumors of RET- and SDHB-, but not VHL-associated clusters of pheochromocytoma/paraganglioma

Increased expression of GIPC2 in colon adenocarcinoma is associated with a favorable prognosis and high levels of immune cell infiltration

Gα‑interacting protein C‑terminus PDZ‑domain‑containing family member 2 (GIPC2) serves an important role in the development of digestive tract tumors; however, its role in colon adenocarcinoma (COAD) has yet to be elucidated. In the present study, data were retrieved from The Cancer Genome Atlas database to investigate the association between GIPC2 expression and prognosis, as well as the levels of tumor‑infiltrating immune cells. Immunohistochemical analysis was subsequently performed on 22 pairs of COAD and adjacent normal colon tissues, which were collected during surgery, to verify GIPC2 protein expression. The results showed that the positive rate in the normal intestinal mucosa group (18/22, 81.82%) was significantly higher than that in the COAD group (3/22, 13.64%, χ²=20.497, P<0.001). Gene set enrichment analysis was used to predict the signaling pathways regulated by GIPC2 in COAD, whereas the CIBERSORT algorithm was used to analyze the association between GIPC2 expression and immune cell infiltration. The expression levels of GIPC2 were revealed to be significantly downregulated in COAD compared with in normal colon tissues (P<0.05). Notably, the overall survival (P=0.004), disease‑specific survival (P=0.003) and progression‑free interval (P=0.011) rates of the group with high GIPC2 expression were higher compared with those in the group with low GIPC2 expression. In addition, the results of the regression analysis suggested that GIPC2 was an independent prognostic factor for COAD (P=0.007). The expression levels of GIPC2 were significantly associated with tumor stage, lymph node status and lymphatic invasion, and GIPC2 expression was enriched in 'cell cycle checkpoints', 'DNA replication' and 'mitosis‑associated signaling pathways'. In addition, a positive association was observed between high GIPC2 expression and levels of infiltrating immune cells. Moreover, the expression of immune checkpoint‑associated genes was significantly higher in the group with low GIPC2 expression. Taken together, the findings of the present study demonstrated that high expression levels of GIPC2 were associated with a favorable prognosis and increased infiltration of immune cells in COAD; therefore, GIPC2 may serve as a biomarker to assess prognosis and the level of immune cell infiltration in patients with COAD.

Identification of a novel prognostic signature correlated with epithelial-mesenchymal transition, N6-methyladenosine modification, and immune infiltration in colorectal cancer

OBJECTIVE

Colorectal cancer (CRC) is a commonly diagnosed human malignancy worldwide. Both epithelial-mesenchymal transition (EMT) and N6-methyladenosine (m6A) modification play a crucial role in CRC development. This study aimed to construct a prognostic signature based on the genes related to EMT and m6A modification.

METHOD

Firstly, the mRNA expression profiling of CRC tissues was analyzed using TCGA and GEO databases. The prognostic hub genes related to EMT and m6A modification were selected using weighted correlation network and cox regression analysis. The prognostic signature was constructed based on hub genes, followed by validation in three external cohorts. Finally, the expression of the representative hub gene was detected in clinical samples, and its biological role was investigated using assays in vivo and in vitro.

RESULTS

A prognostic signature was constructed using the following genes: YAP1, FAM3C, NUBPL, GLO1, JARID2, NFKB1, CDKN1B, HOOK1, and GIPC2. The signature effectively stratified the clinical outcome of CRC patients in the training cohort and two validation cohorts. The subgroup analysis demonstrated the signature could identify high-risk population from CRC patients within stage I-II or III-IV, female, male and elder patients. The signature was correlated with the infiltration of some immune cells (such as macrophage and regulatory T cells) and gene mutation counts. Finally, the hub gene GIPC2 was found to be downregulated in CRC tissues and most CRC cells lines. GIPC2 overexpression inhibited the malignant characteristics of CRC cells in vitro and in vivo through upregulating E-cadherin and downregulating N-cadherin, Vimentin, and Snail, while the opposite results were observed for GIPC2 knockdown in CRC cells.

CONCLUSION

Our present study for the first time constructed a novel prognostic signature related to EMT, m6A modification, and immune infiltration for CRC risk stratification. In addition, GIPC2 is identified as a promising clinical biomarker or therapeutical target for CRC.

SADLN: Self-attention based deep learning network of integrating multi-omics data for cancer subtype recognition

Integrating multi-omics data for cancer subtype recognition is an important task in bioinformatics. Recently, deep learning has been applied to recognize the subtype of cancers. However, existing studies almost integrate the multi-omics data simply by concatenation as the single data and then learn a latent low-dimensional representation through a deep learning model, which did not consider the distribution differently of omics data. Moreover, these methods ignore the relationship of samples. To tackle these problems, we proposed SADLN: A self-attention based deep learning network of integrating multi-omics data for cancer subtype recognition. SADLN combined encoder, self-attention, decoder, and discriminator into a unified framework, which can not only integrate multi-omics data but also adaptively model the sample's relationship for learning an accurately latent low-dimensional representation. With the integrated representation learned from the network, SADLN used Gaussian Mixture Model to identify cancer subtypes. Experiments on ten cancer datasets of TCGA demonstrated the advantages of SADLN compared to ten methods. The Self-Attention Based Deep Learning Network (SADLN) is an effective method of integrating multi-omics data for cancer subtype recognition.

GIPC2 interacts with Fzd7 to promote prostate cancer metastasis by activating WNT signaling

Prostate cancer (PCa) causes significant mortality and morbidity, with advanced metastasis. WNT signaling is a promising therapeutic target for metastatic PCa. GIPC2 is a GIPC1 paralog involved in WNT signaling pathways associated with tumor progression, but its role in PCa metastasis remains unclear. Herein, we demonstrated that high GIPC2 expression in PCa tissues was significantly associated with distant metastasis and poor prognosis. Functional studies demonstrated that high GIPC2 expression due to CpG-island demethylation promoted increased metastatic capabilities of PCa cells. Conversely, silencing GIPC2 expression significantly inhibited PCa metastasis in vitro and in vivo. Furthermore, GIPC2 directly bound the WNT co-receptor Fzd7 through its PDZ domain, which enabled activation of WNT-β-catenin cascades, thereby stimulating PCa metastasis. Interestingly, GIPC2 protein was also identified as a component of exosomes and that it robustly stimulated PCa adhesion, invasion, and migration. The presence of GIPC2 in tumor-derived exosomes and ability to impact the behavior of tumor cells suggest that GIPC2 is a novel epigenetic oncogene involved in PCa metastasis. Our findings identified GIPC2 as a novel exosomal molecule associated with WNT signaling and may represent a potential therapeutic target and biomarker for metastatic PCa.

The Role of VHL in the Development of von Hippel-Lindau Disease and Erythrocytosis

Von Hippel-Lindau disease (VHL disease or VHL syndrome) is a familial multisystem neoplastic syndrome stemming from germline disease-associated variants of the VHL tumor suppressor gene on chromosome 3. VHL is involved, through the EPO-VHL-HIF signaling axis, in oxygen sensing and adaptive response to hypoxia, as well as in numerous HIF-independent pathways. The diverse roles of VHL confirm its implication in several crucial cellular processes. VHL variations have been associated with the development of VHL disease and erythrocytosis. The association between genotypes and phenotypes still remains ambiguous for the majority of mutations. It appears that there is a distinction between erythrocytosis-causing VHL variations and VHL variations causing VHL disease with tumor development. Understanding the pathogenic effects of VHL variants might better predict the prognosis and optimize management of the patient.

Hypoxia signaling pathway: A central mediator in endocrine tumors

Adequate oxygen levels are essential for the functioning and maintenance of biological processes in virtually every cell, albeit based on specific need. Thus, any change in oxygen pressure leads to modulated activation of the hypoxia pathway, which affects numerous physiological and pathological processes, including hematopoiesis, inflammation, and tumor development. The Hypoxia Inducible Factors (HIFs) are essential transcription factors and the driving force of the hypoxia pathway; whereas, their inhibitors, HIF prolyl hydroxylase domain (PHDs) proteins are the true oxygen sensors that critically regulate this response. Recently, we and others have described the central role of the PHD/HIF axis in various compartments of the adrenal gland and its potential influence in associated tumors, including pheochromocytomas and paragangliomas. Here, we provide an overview of the most recent findings on the hypoxia signaling pathway in vivo, including its role in the endocrine system, especially in adrenal tumors.

Photothermal mediated rolling circle amplification toward specific and direct in situ mRNA detection

Rolling circle amplification (RCA) had the prospect of assisting clinic diagnosis with advantage in in situ mRNA detection at single cell level. However, for direct mRNA detection, RCA had relatively low detection specificity and efficiency. Here, we introduced 4-(10, 15, 20-Triphenylporphyrin-5-yl)phenylamine (TPP) modified Au nanoparticle (Au-TPP) to improve the specificity of in-situ RCA. Through photothermal effect, Au-TPP acted as the specific heat source upon irradiation of 635 nm laser. The photothermal mediated RCA would be initiated only when the Au-TPP as well as the padlock anchored adjacently on the same target mRNA. Furthermore, we introduced 'C' form target-specific oligonucleotide linker probes to make generic padlock and Au-TPP for different mRNA targets, so that for a new mRNA target one does not have to redesign the padlock and the Au-TPP probe. By these strategies, we successfully developed a specific and photothermal mediated hyperbranched rolling circle amplification for direct in situ mRNA detection, suitable for both formalin-fixed paraffin-embedded (FFPE) tissue section and frozen tissue section.