Up-regulation of GINS1 highlighted a good diagnostic and prognostic potential of survival in three different subtypes of human cancer

Cancer is a fatal malignancy and its increasing worldwide prevalence demands the discovery of more sensitive and reliable molecular biomarkers. To investigate the GINS1 expression level and its prognostic value in distinct human cancers using a series of multi-layered in silico approach may help to establish it as a potential shared diagnostic and prognostic biomarker of different cancer subtypes. The GINS1 mRNA, protein expression, and promoter methylation were analyzed using UALCAN and Human Protein Atlas (HPA), while mRNA expression was further validated via GENT2. The potential prognostic values of GINS1 were evaluated through KM plotter. Then, cBioPortal was utilized to examine the GINS1-related genetic mutations and copy number variations (CNVs), while pathway enrichment analysis was performed using DAVID. Moreover, a correlational analysis between GINS1 expression and CD8+ T immune cells and a the construction of gene-drug interaction network was performed using TIMER, CDT, and Cytoscape. The GINS1 was found down-regulated in a single subtypes of human cancer while commonly up-regulated in 23 different other subtypes. The up-regulation of GINS1 was significantly correlated with the poor overall survival (OS) of Liver Hepatocellular Carcinoma (LIHC), Lung Adenocarcinoma (LUAD), and Kidney renal clear cell carcinoma (KIRC). The GINS1 was also found up-regulated in LIHC, LUAD, and KIRC patients of different clinicopathological features. Pathways enrichment analysis revealed the involvement of GINS1 in two diverse pathways, while few interesting correlations were also documented between GINS1 expression and its promoter methylation level, CD8+ T immune cells level, and CNVs. Moreover, we also predicted few drugs that could be used in the treatment of LIHC, LUAD, and KIRC by regulating the GINS1 expression. The expression profiling of GINS1 in the current study has suggested it a novel shared diagnostic and prognostic biomarker of LIHC, LUAD, and KIRC.

Regenerating Islet-Derived 3-alpha is a Prognostic Biomarker for Gastrointestinal Chronic Graft-Versus-Host Disease

Prognostic biomarkers used to identify likelihood of disease progression have not been identified for chronic graft-versus-host disease (cGVHD), the leading cause of late non-relapse mortality (NRM) in survivors of allogenic hematopoietic cell transplantation. Gastrointestinal cGVHD (GI-cGVHD) has been particularly challenging to classify. Here, we analyzed three proteomics markers [Regenerating-islet-derived-3-alpha (Reg3α), C-X-C-motif-ligand (CXCL9) and Stimulation-2 (ST2)] in two independent cohorts of patients with cGVHD totaling 289 patients. Plasma concentrations of Reg3α were significantly increased in patients with GI-cGVHD compared to those without (p=0.0012, p=0.01 respectively), CXCL9 and ST2 were not. Patients with high Reg3α (≥72ng/mL) vs. low Reg3α had higher NRM (23% vs. 11%, p=0.015). Since Reg3α has been identified as a lower GI-tract marker in acute GVHD, we correlated Reg3α with lower acute-like GI-cGVHD vs. classical fibrotic-like esophageal manifestations and found Reg3a did not differ between the subtypes. No difference was observed between upper and lower subtypes. Patients with extremely high Reg3α (≥180 ng/mL) had higher GI-scores but not higher lower-GI-scores. In multivariate Cox regression model, patients with high Reg3α were 1.9 times more likely to die without relapse. Our findings demonstrate the utility of Reg3α as a prognostic marker for GI-cGVHD. These data warrant prospective biomarker validation studies.

Plasma hPG80 (Circulating Progastrin) as a Novel Prognostic Biomarker for Hepatocellular Carcinoma

Alpha-fetoprotein (AFP) is the most widely used biomarker for hepatocellular carcinoma (HCC) prognosis. However, AFP is not useful in establishing a prognosis for patients with a tumor in the early stages. hPG80 (circulating progastrin) is a tumor promoting peptide present in the blood of patients with various cancers, including HCC. In this study, we evaluated the prognostic value of plasma hPG80 in patients with HCC, alone or in combination with AFP. A total of 168 HCC patients were tested prospectively for hPG80 and analyzed retrospectively. The prognostic impact of hPG80 and AFP levels on patient survival was assessed using Kaplan-Meier curves and log-rank tests. hPG80 was detected in 84% of HCC patients. There was no correlation between hPG80 and AFP levels in the training and validation cohorts. Both cohorts showed higher sensitivity of hPG80 compared to AFP, especially at early stages. Patients with high hPG80 (hPG80+) levels (optimal cutoff value 4.5 pM) had significantly lower median overall survival (OS) compared to patients with low hPG80 (hPG80−) levels (12.4 months versus not reached respectively, p < 0.0001). Further stratification by combining hPG80 and AFP levels (cutoff 100 ng/mL) improved prognosis in particular for those patients with low AFP level (hPG80−/AFP+ and hPG80−/AFP−, 13.4 months versus not reached respectively, p < 0.0001 and hPG80+/AFP+ and hPG80+/AFP−, 5.7 versus 26 months respectively, p < 0.0001). This was corroborated when analyses were performed using the BCLC staging especially at early stages. Our findings show that hPG80 could serve as a new prognostic biomarker in HCC. Used in combination with AFP, it improves the stratification of the patients in good and poor prognosis, especially for those patients with negative AFP and early-stage HCC.

SIRT7 is a prognostic biomarker in kidney renal clear cell carcinoma that is correlated with immune cell infiltration

Background: SIRT7 has been shown to be expressed in many cancer types, including kidney renal clear cell carcinoma (KIRC), but its functional role in this oncogenic context remains to be firmly defined. This study was designed to explore correlations between SIRT7 and KIRC characteristics using the TCGA database. Methods: Relationships between SIRT7 expression and KIRC patient clinicopathological characteristics were assessed through Kruskal-Wallis tests, Wilcoxon signed-rank tests, and logistic regression analyses. Area under the ROC curve (AUC) values were used to assess the prognostic value of SIRT7 as a means of classifying KIRC patients. The functional role of SIRT7 in this cancer type was assessed through GO/KEGG enrichment analyses and immune cell infiltration analyses. Results: In KIRC patients, higher levels of SIRT7 expression were associated with Race, M stage, T stage (all P < 0.05). SIRT7 offered significant diagnostic value in ROC curve analyses (AUC = 0.912), and elevated SIRT7 levels were linked to worse patient overall survival (OS; P < 0.001). The expression of SIRT7 was independently related with KIRC patient OS (HR: 1.827; 95%CI: 1.346-2.481; P<0.001). In GO/KEGG analyses, SIRT7 was found to be associated with ubiquitin-mediated proteolysis and nucleotide excision repair. Higher SIRT7 expression was related to the enhanced infiltration of certain immune cells.Conclusions: Increased SIRT7 expression was associated with a worse KIRC patient prognosis, and immune infiltrates, suggesting it may offer value as a prognostic biomarker for this cancer type.

Efficient Detection of Gastric Cancer Marker miR-185 Using Graphene Oxide and Nuclease DSN

Since miR-185 has been identified as a prognostic biomarker to forecast the course of survival and relapse in gastric cancer (GC), quantitative detection of miR-185 features in developing personalized strategies for GC treatment. In this study, a highly sensitive method for miR-185 detection was rationally designed with the characteristic of fluorescent signal amplification and it was based on constructing graphene oxide sensor and utilizing duplex specific nuclease (DSN). In detail, the cleavage of many DNA signal probes was successfully triggered by the miR-185 target which contributed to the target-recycling mechanism. The protocol exhibited a prominent ability to analyze miR-185 in solution, and it can detect miR-185 at different concentrations as low as 476 pM with a linear range of 0–50 nM. Moreover, this method has gained its prominence in distinguishing the target miRNA from various sequences with one to three base mismatches or other miRNAs. Taken together, it presented the prominent potential to be a candidate tool in the field of clinical diagnosis considering its precise and efficient ability to detect miR-185.

A Pan-cancer Analysis of Thioredoxin-interacting Protein as an Immunological and Prognostic Biomarker

BackgroundThe critical role of thioredoxin-interacting protein (TXNIP) in cellular sulfhydryl redox homeostasis and inflammasome activation is already widely known, however, no pan-cancer analysis is currently available. MethodsWe thus first explored the potential roles of TXNIP across thirty-three tumors mainly based on The Cancer Genome Atlas and Gene Expression Omnibus datasets. ResultsTXNIP is lowly expressed in most cancers, and distinct associations exist between TXNIP expression and the prognosis of tumor patients. TXNIP expression was associated with tumor mutational burden, microsatellite instability, mismatch repair genes, tumor infiltrating immune cell abundance as well as cancer-associated fibroblasts. Moreover, ubiquitin mediated proteolysis, protein post-translational modification and other related pathways were involved in the functional mechanisms of TXNIP. ConclusionsOur first pan-cancer study offers a relatively comprehensive understanding of the carcinostatic roles of TXNIP across different tumors. And this molecule may be considered as a potential immunological and prognostic biomarker.

PD1+ T-cells correlate with Nerve Fiber Density as a prognostic biomarker in patients with resected perihilar cholangiocarcinoma.

Background & Aims: Perihilar cholangiocarcinoma (pCCA) is a hepatobiliary malignancy. Nerve fiber invasion (NFI) shows cancer invading the nerve and is considered an aggressive feature. Nerve fiber density (NFD) consists of small nerve fibers without cancer invasion and is divided into high NFD (high numbers of small nerve fibers) or low NFD (low numbers of small nerve fibers). We aim to explore differences in immune cell populations and survival. Approach & Results: We applied multiplex immunofluorescence (mIF) on 47 pCCA surgically resected patients and investigated immune cell composition in the tumor microenvironment (TME) of nerve fiber phenotypes (NFI, high and low NFD). Group comparison was performed and overall survival (OS) was assessed. The NFI Region of Interest (ROI) was measured with highest CD68+ macrophage levels among 3 ROIs (NFI compared to tumor free p= 0.016 and to tumor p=0.034) and PD1 expression on CD8 and were more abundant in the tumor rather than NFI ROI (p= 0.004 and p= 0.0029 respectively). NFD compared to NFI, demonstrated co-expression of CD8+PD1+ as well as CD68+PD1+ to be significantly higher in high NFD patients (p= 0.027 and p= 0.044, respectively). The high NFD OS was 92 months median OS (95% CI:41-142), for low NFD 20 months ((95% CI: 4-36) and for NFI 19 months (95% CI 7-33). High NFD OS was significantly better compared to low NFD (p= 0.046) and NFI (p= 0.032). Conclusions: PD1+ T-cells correlate with high NFD as a prognostic biomarker, the biological pathway behind this needs to be investigated.