Detection of fecal interferon-induced transmembrane protein messenger RNA for colorectal cancer screening

Unveiling the immunoregulatory role of interferon-induced transmembrane protein 2 through the JAK/STAT3/PDL1 pathway in gastric cancer

Programmed cell death ligand 1 (PDL1) has been implicated in immune evasion in various tumor types. The objective of this investigation was to assess the correlation between metastasis-associated interferon-induced transmembrane protein 2 (IFITM2) and PDL1, and explore their impact on tumor immunity in gastric cancer (GC). The expression of IFITM2 and PDL1 in human GC tissues was initially evaluated using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, as well as immunohistochemistry (IHC). Subsequently, the relationship between IFITM2 and PDL1 was analyzed through Real-time quantitative PCR (RT-qPCR) and western blotting after cell transfection and inhibitor treatment in vitro. The role of IFITM2 and PDL1 in immune killing was further elucidated in both in vitro and in vivo settings. Our study revealed frequent overexpression of IFITM2 and PDL1 in GC. Notably, IFITM2 expression was significantly associated with lymphatic metastasis, clinical stage, and poor survival. Moreover, a positive correlation between PDL1 expression and IFITM2 expression in GC was identified. The activation of tumor-derived IFITM2 was found to enhance PDL1 expression via the JAK/STAT3 pathway in human GC cells (MKN28 and MKN45), leading to apoptosis of Jurkat T cells. Furthermore, IFITM2 induced PDL1 expression in a xenograft mouse model of GC. Based on our findings, we propose that IFITM2 modulates PDL1 expression and tumor immunity through the JAK/STAT3 pathway in GC cells, highlighting the potential of IFITM2 as a therapeutic target for GC immunotherapy.

A systematic approach introduced some immune system targets in rectal cancer by considering cell-free DNA methylation in response to radiochemotherapy

BACKGROUND

This study aims to investigate cell-free DNA (cfDNA) methylation of genes involved in some immune system targets as biomarkers of radioresistance in patients with non-metastatic rectal cancer.

METHODS

Gene expression (GSE68204, GPL6480, and GSE15781) and DNA methylation profiles (GSE75548 and GSE139404) of rectal cancer patients were obtained from the Gene Expression Omnibus (GEO) database. GEO2R and FunRich software were first used to identify genes with significant expression differences. Enricher softwer was then used to analyze Gene Ontology and detect pathway enrichment of hub genes. Blood samples were then taken from 43 rectal cancer patients. After cfDNA extraction from samples, it was treated with bisulfite and analyzed by methylation-specific PCR.

RESULTS

1088 genes with high and 629 with low expression were identified by GEO2R and FunRich software. A total of five high-expression hub genes, including CDH24, FGF18, CCND1, IFITM1, UBE2V1, and three low-expression hub genes, including CBLN2, VIPR2, and IRF4, were identified from UALCAN and DNMIVD databases. Methylation-specific PCR indicated a significant difference in hub gene methylation between cancerous and non-cancerous individuals. Radiochemotherapy significantly affected hub gene methylation. There was a considerable difference in the methylation rate of hub genes between patients who responded to radiochemotherapy and those who did not.

CONCLUSIONS

Evaluating gene methylation patterns might be an appropriate diagnostic tool to predict radiochemotherapy response and develop targeted therapeutic agents.

A transcriptomic signature that predicts cancer recurrence after hepatectomy in patients with colorectal liver metastases

BACKGROUND

Cancer recurrence is an important predictor of survival outcomes in patients with colorectal cancer-associated liver metastasis (CRLM), who undergo radical hepatectomy. Therefore, identification of patients with the greatest risk of recurrence is critical for developing a precision oncology strategy that might include frequent surveillance (in low-risk patients) or a more aggressive treatment approach (in high-risk patients). We performed genome-wide expression profiling, to identify and develop a transcriptomic signature for predicting recurrence in patients with CRLM.

METHODS

We analysed a total of 383 patients with CRLM, including 63 patients from a publicly available data set (the NCBI's Gene Expression Omnibus with accession number GSE81423). and 320 patients from whom surgical specimens were collected for independent training (n = 169) and validation (n = 151) of identified biomarkers. Using Cox's proportional hazard regression analysis, we evaluated the clinical significance of the identified gene signature by comparing its performance with several key clinical factors.

RESULTS

We identified a six-gene panel that robustly categorised patients with recurrence in the discovery (area under the curve (AUC) = 0.90). We showed that the panel was a significant predictor of recurrence in the clinical training (AUC = 0.83) and validation cohorts (AUC = 0.81). By combining our panel with key clinical factors, we established a risk-stratification model that emerged as an independent predictor of recurrence (AUC = 0.85; univariate: hazard ratio (HR) = 4.34, 95% confidence interval (CI) = 2.71-6.93, P < 0.001; multivariate: HR = 3.40, 95% CI = 1.76-6.56, P < 0.001). The stratification model revealed recurrence prediction in 89% of high-risk group and non-recurrence in 62% of low-risk group.

CONCLUSIONS

We established a novel transcriptomic signature that robustly predicts recurrence, which has significant implications for the management of patients with CRLM.

Integrative overview of IFITMs family based on Bioinformatics analysis

Human interferon-induced transmembrane proteins (IFITMs) family is a multi-functional biomacromolecule family playing a critical role in various physiological processes, such as, antiviral immunity, tumor suppression, and bone formation. Although there are many studies proving that a subset of tumors strongly links to the changes of IFITMs, the link between different IFITMs mutant types and diverse tumors has not been studied thoroughly. To investigate the law of expression among IFITMs internal members and the linking of IFITMs mutant types and cancers, online databases were used to pool together relevant data for bioinformatics analysis. Here, we summarize mutations, expression, and functions of human IFITMs, analyze diverse expression levels of IFITMs in physiological and pathological tissues, predict protein-protein interaction (PPI) networks, and target miRNAs and relevant signaling pathways of IFITMs. The results show that IFITM1, IFITM2, and IFITM3 have similar motif pattern constructions and physiological functions, while IFITM5 and IFITM10 show far diversity from them. Particularly, IFITM1-3, in conjunction with interacting proteins, is strongly related to development and overall survival rates of a portion of cancers, including renal cancer and uveal melanoma (UVM). This trait may make IFITM1-3 become a prognostic marker of cancers. Meanwhile, hsa_circ_0116375 has been found as the common circRNA for IFITM2, IFITM3, IFITM5, and IFITM10.

Membrane Interference Against HIV-1 by Intrinsic Antiviral Factors: The Case of IFITMs

HIV-1 is a complex retrovirus that is adapted to replicate in cells of the immune system. To do so, HIV-1, like other viruses, developed strategies to use several cellular processes to its advantage, but had also to come to terms with an arsenal of cellular innate defense proteins, or antiviral factors, that target more or less efficiently, virtually every step of the virus replicative cycle. Among antiviral restriction factors, the family of interferon-induced transmembrane proteins (IFITMs) has emerged as a crucial component of cellular innate defenses for their ability to interfere with both early and late phases of viral replication by inhibiting cellular and viral membranes fusion. Here, we review the enormous advances made since the discovery of IFITMs as interferon-regulated genes more than thirty years ago, with a particular focus on HIV-1 and on the elements that modulate its susceptibility or resistance towards members of this family. Given the recent advances of the field in the elucidation of the mechanism of IFITM inhibition and on the mechanism(s) of viral resistance, we expect that future years will bring novel insights into the definition of the multiple facets of IFITMs and on their possible use for novel therapeutical approaches.

Malignancy and IFITM3: Friend or Foe?

The prevalence and incidence of cancers has risen over the last decade. Available treatments have improved outcomes, yet mortality and morbidity remain high, creating an urgent demand for personalized and new therapy targets. Interferon induced transmembrane protein (IFITM3) is highly expressed in cancers and is a marker of poor prognosis. In this review, we discuss recent advances in IFITM3 biology, the regulatory pathways, and its function within cancer as part of immunity and maintaining stemness. Overexpression of IFITM3 is likely an indirect effect of ongoing inflammation, immune and cancer epithelial-to-mesenchymal (EMT) related pathways i.e., interferons, TGF-β, WNT/β-catenin, etc. However, IFITM3 also influences tumorigenic phenotypes, such as cell proliferation, migration and invasion. Furthermore, IFITM3 plays a key role in cancer growth and maintenance. Silencing of IFITM3 reduces these phenotypes. Therefore, targeting of IFITM3 will likely have implications for potential cancer therapies.

New molecular diagnosis and screening methods for colorectal cancer using fecal protein, DNA and RNA

Several screening methods for reducing the mortality rate of colorectal cancer (CRC) have been reported in recent decades. Fecal occult blood tests (FOBTs) are widely used for CRC screening and immunochemical FOBTs perform better than guaiac FOBTs; however, the sensitivity and specificity of immunochemical FOBTs remain unsatisfactory. To resolve this problem, novel fecal molecular methods based on fecal protein, DNA and RNA analyses have been developed. Regarding fecal proteins, several marker proteins indicating intestinal bleeding and cancer cell-specific proteins have been investigated. Regarding fecal DNA, numerous gene mutation and gene methylation analyses have been reported. Consequently, fecal DNA analysis was recommended as a CRC screening method in 2008. In addition, gene expression analyses of CRC-specific genes and miRNAs in fecal RNA have been investigated over the last decade. This review article summarizes molecular methods using fecal samples for CRC screening, focusing on reports within the last 5 years.