Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value

BACKGROUND

Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes.

METHODS

The present study used the differentially expressed genes (DEGs) obtained from the "Limma" package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified-claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)-by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity.

RESULTS

The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion.

CONCLUSION

IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients.

IGF2BP3 overexpression predicts poor prognosis and correlates with immune infiltration in bladder cancer

BACKGROUND

IGF2BP3 expression is associated with poor prognosis in cancers of multiple tissue origins. However, the precise mechanism of its co-carcinogenic action in bladder cancer is unknown.

METHODS

We aimed to demonstrate the relationship between IGF2BP3 expression and pan-cancer using The Cancer Genome Atlas (TCGA) database. We next validated IGF2BP3 expression in the Gene Expression Omnibus (GEO) database (GSE3167). Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic values of IGF2BP3. Cox and logistic regression were used to explore the factors affecting the prognosis. Protein-protein interactions (PPIs) network was constructed by STRING. Enrichment analyses were performed to infer involved pathways and functional categories of IGF2BP3 using the cluster Profiler package. We applied single-sample gene set enrichment analysis (ssGSEA) algorithm and TIMER database to evaluate the expression level of immune genes.

RESULTS

Pan-cancer analyses reveal that IGF2BP3 was higher in most cancer types, including bladder cancer, and the same results were found in GSE3167. The area under the ROC curve of IGF2BP3 was 0.736, which indicated that IGF2BP3 may be a potential diagnostic biomarker. High IGF2BP3 expression was associated with poorer overall survival (OS) (P = 0.015). For validation, we collected 95 bladder cancer samples and found that IGF2BP3 expression was higher in bladder cancer tissues than that in non-tumor bladder tissues by immunohistochemistry staining. We found a positive correlation between the expression level of IGF2BP3 and the clinical stage of bladder cancer. Immunocyte infiltration analysis showed that high IGF2BP3 expression was correlated with regulating the infiltration level of immune cell, including neutrophil cells and macrophages. IGF2BP3 promotes migration and invasion of bladder cancer cells, while IGF2BP3 inhibition had the opposite effects. Higher IGF2BP3 expression was closely associated with advanced TNM stage.

CONCLUSION

IGF2BP3 overexpression was related to disease progression and poor prognosis, as well as infiltration of immune cells in bladder cancer. IGF2BP3 can be a promising independent prognostic biomarker and potential treatment target for bladder cancer.

Multiparametric approach to assess the disease severity and progression of cutaneous leishmaniasis infection

The pathophysiology of Cutaneous Leishmaniasis (CL), an infection caused by Leishmania tropica (L. tropica) and Leishmania major (L. major) is primarily determined by inflammation-mediated immune cells. The immune response mainly depends on cells and molecules related to T-cells that influence susceptibility and disease development. Understanding the immunological mechanisms that cause tissue injury or lesion healing is critical for developing appropriate treatment strategies. In the present study, T-cells profile and cell-free mitochondrial DNA (CF mt-DNA) were investigated in CL patients infected with L. tropica (n = 34) and L. major (n = 2) and compared with non-infected healthy controls (n = 20). There was a significant (p<0.0001) difference between CD4+ T-cells among L. tropica and L. major CL-infected groups as compared to control while no significant difference (p = 0.8597) was found in the percentages of CD8+ T-cells. When L. tropica and L. major CL-infected individuals were compared to controls, the levels of IL-4 and expression of CF mt-DNA were significantly higher (p<0.0001). Higher levels of CF mt-DNA were detected in CL patients, irrespective of the infective Leishmania species. We proposed that the levels of CF mt-DNA and IL-4 in CL-infected individuals can be used to determine the disease progression. A better understanding of these biomarkers and evaluation of the immune responses in CL patients might benefit the development of vaccines and immunotherapies.

Methylation of RILP in lung cancer promotes tumor cell proliferation and invasion

Rab-interacting lysosomal protein (RILP) has been suggested to perform as a tumor suppressor in breast and prostate cancer cell lines. However, its expression profile and functional role in lung cancer have never been investigated. We applied the well-established cancer genomic database-The Cancer Genome Atlas to compare the RILP expression and methylation between lung cancer tissues and normal tissues. The potential correlation of RILP with clinical characteristics of lung cancer patients (e.g., stages, smoking, TP53, and methylation) was also be explored. Our results showed that the downregulation of RILP and upregulation of RILP methylation were identified in lung cancer tissues compared to normal healthy tissues. Downregulation of RILP was positively associated with lung cancer later stage (N3), smoking history, TP53 mutation, and poor prognosis, as well as inversely correlated with DNA (cytosine-5)-methyltransferase 1 (DNMT1) expression. Demethylation treatment enhanced RILP expression in lung cancer cells, suggesting hypermethylation is responsible for RILP silencing in lung cancer. We further found that RILP depletion promoted lung cancer cell proliferation, migration, and invasion. We concluded that RILP acts as a tumor suppressor in lung cancer cells. Our results provided the theoretical basis for developing RILP-targeting or demethylating agents for lung cancer treatment.

Searching for a signature involving 10 genes to predict the survival of patients with acute myelocytic leukemia through a combined multi-omics analysis

BACKGROUND

Currently, acute myelocytic leukemia (AML) still has a poor prognosis. As a result, gene markers for predicting AML prognosis must be identified through systemic analysis of multi-omics data.

METHODS

First of all, the copy number variation (CNV), mutation, RNA-Seq, and single nucleotide polymorphism (SNP) data, as well as those clinical follow-up data, were obtained based on The Cancer Genome Atlas (TCGA) database. Thereafter, all samples (n = 229) were randomized as test set and training set, respectively. Of them, the training set was used to screen for genes related to prognosis, and genes with mutation, SNP or CNV. Then, shrinkage estimate was used for feature selection of all the as-screened genes, to select those stable biomarkers. Eventually, a prognosis model related to those genes was established, and validated within the GEO verification (n = 124 and 72) and test set (n = 127). Moreover, it was compared with the AML prognosis prediction model reported in literature.

RESULTS

Altogether 832 genes related to prognosis, 23 related to copy amplification, 774 associated with copy deletion, and 189 with significant genomic variations were acquired in this study. Later, genes with genomic variations and those related to prognosis were integrated to obtain 38 candidate genes; eventually, a shrinkage estimate was adopted to obtain 10 feature genes (including FAT2, CAMK2A, TCERG1, GDF9, PTGIS, DOC2B, DNTTIP1, PREX1, CRISPLD1 and C22orf42). Further, a signature was established using these 10 genes based on Cox regression analysis, and it served as an independent factor to predict AML prognosis. More importantly, it was able to stratify those external verification, test and training set samples with regard to the risk (P < 0.01). Compared with the prognosis prediction model reported in literature, the model established in this study was advantageous in terms of the prediction performance.

CONCLUSION

The signature based on 10 genes had been established in this study, which is promising to be used to be a new marker for predicting AML prognosis.

Low expression of organic anion-transporting polypeptide 1B3 predicts a poor prognosis in hepatocellular carcinoma

Objective

To detect the expression level of organic anion-transporting polypeptide 1B3 (OATP1B3) in hepatocellular carcinoma (HCC) and to determine the relationship between OATP1B3 expression, clinicopathological features, and prognosis.

Methods

Immunohistochemical (IHC) staining was performed to detect the expression of OATP1B3 in 131 HCC specimens and in 89 adjacent nontumorous tissues. Moreover, the expression levels of OATP1B3 in 30 pairs of tumor and matched adjacent nontumorous tissues were detected by quantitative real-time polymerase chain reaction, and 34 pairs of tumor and matched adjacent nontumorous tissues were detected by Western blotting. The χ² test was applied to analyze the correlation between OATP1B3 expression and the clinical parameters of HCC patients. The prognostic value of OATP1B3 in HCC patients was estimated by Kaplan-Meier survival analysis and the Cox stepwise proportional hazards model.

Results

Compared with that in adjacent nontumorous tissues (25.8%, 23/89), OATP1B3 expression was significantly downregulated in tumor tissues (59.5%, 78/131) (P < 0.0001). Moreover, OATP1B3 expression was markedly correlated with tumor size, recurrence, tumor differentiation, and tumor node metastasis (TNM) stage (P < 0.05 for each). However, age, sex, tumor capsule status, HBsAg, cirrhosis, tumor number, vascular invasion, and serum alpha fetoprotein were not associated with OATP1B3 expression. The overall survival (OS) and disease-free survival (DFS) of HCC patients who had high expression of OATP1B3 were significantly longer than those of patients with low expression (33.0% vs 12.9%, P = 0.001; 18.8% vs 5.3%, P < 0.0001). Cox multivariate analysis showed that OATP1B3, invasion, and TNM stage (P < 0.05 for each) were independent prognostic factors of OS in HCC patients and that OATP1B3 and TNM stage (both P < 0.05) were independent prognostic factors of DFS in HCC patients.

Conclusions

The expression of OATP1B3 in HCC patients was significantly lower than that in adjacent nontumorous tissues. OATP1B3 expression may be a potential prognostic marker in HCC patients.

Controlling nutritional status (CONUT) score is a predictive marker for patients with traumatic brain injury

OBJECT

We designed this study to evaluate whether controlling nutritional status (CONUT) score was valuable in predicting outcome of patients with traumatic brain injury (TBI).

METHODS

Clinical and laboratory data of patients admitted with TBI in our hospital between January 2015 and January 2018 was retrospectively collected. We divided patients into two groups according to in-hospital and 90-day outcome respectively and compared baseline characteristics of two groups. Multivariate analyses were conducted to evaluate whether CONUT score was associated with outcome of included patients. Receiver operating characteristics (ROC) curves were drawn to compare the predictive value of CONUT score and constructed models.

RESULTS

A total of 365 patients were included in our study. Multivariate logistic regression analyses showed that CONUT score was independently associated with in-hospital mortality (OR = 1.244, 95% CI: 1.099-1.408, p = 0.001) and 90-day outcome (OR = 1.441, 95% CI: 1.193-1.741, p < 0.001). ROC curve showed that area under the ROC curve (AUC) of CONUT score for predicting in-hospital mortality and 90-day outcome were 0.790 (95% CI: 0.745-0.836, p < 0.001) and 0.839 (95% CI: 0.792-0.886, p < 0.001), respectively.

CONCLUSION

CONUT score is independently associated with in-hospital mortality and 90-day outcome of patients with TBI.

Loss of Tenascin-X expression during tumor progression: A new pan-cancer marker

Cancer is a systemic disease involving multiple components produced from both tumor cells themselves and surrounding stromal cells. The pro- or anti-tumoral role of the stroma is still under debate. Indeed, it has long been considered the main physical barrier to the diffusion of chemotherapy by its dense and fibrous nature and its poor vascularization. However, in murine models, the depletion of fibroblasts, the main ExtraCellular Matrix (ECM)-producing cells, led to more aggressive tumors even though they were more susceptible to anti-angiogenic and immuno-modulators. Tenascin-C (TNC) is a multifunctional matricellular glycoprotein (i.e. an ECM protein also able to induce signaling pathway) and is considered as a marker of tumor expansion and metastasis. However, the status of other tenascin (TN) family members and particularly Tenascin-X (TNX) has been far less studied during this pathological process and is still controversial. Herein, through (1) in silico analyses of the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases and (2) immunohistochemistry staining of Tissue MicroArrays (TMA), we performed a large and extensive study of TNX expression at both mRNA and protein levels (1) in the 6 cancers with the highest incidence and mortality in the world (i.e. lung, breast, colorectal, prostate, stomach and liver) and (2) in the cancers for which sparse data regarding TNX expression already exist in the literature. We thus demonstrated that, in most cancers, TNX expression is significantly downregulated during cancer progression and we also highlighted, when data were available, that high TNXB mRNA expression in cancer is correlated with a good survival prognosis.

Assessment of human papillomavirus E6/E7 oncogene expression as cervical disease biomarker

BACKGROUND

The aims of this study were to detect HPV E6/E7 mRNA expression in women with high-risk genotypes (HPV-16, -18, -31, -33 and -45) analysing its relationship with tissue pathology and 2) 2-year follow-up of E6/E7 mRNA tested group.

METHODS

Our samples were genotyped and classified by pathologists according to Bethesda system. After RNA extraction, E6/E7 oncogene mRNA detection was performed by NucliSens® EasyQ® HPV v1 Test (bioMérieux).

RESULTS

The results of the present study showed that E6/E7 mRNA positivity rate was 68.29 % in women tested once and 69.56 % in women tested twice. According to tissue pathology, all samples with high-grade lesions were positive for mRNA. Among women with low-grade lesions varied over the years from 89.28 to 84 % in women tested once and from 77.77 to 70 % in tested twice. Among women without lesion, positivity rate maintained in women tested once (from 50 to 41.38 %) and decreased in tested twice, from 63.63 to 44.44 %. Regarding lesion evolution, mRNA positivity was higher in women with lesion progression (53.13 %) and in women with positive results in two tested samples (83.33 %).

CONCLUSION

HPV E6/E7 mRNA detection may be an effective screening test and biomarker for cervical cancer in women infected with these five genotypes. Nonetheless, further studies are needed to standardize as routine triage test.