Clinicopathological Analysis and Prognostic Assessment of Transcobalamin I (TCN1) in Patients with Colorectal Tumors

Potential risk factors and genetic variants associated with dental caries incidence in Appalachia using genome-wide survival analysis

OBJECTIVE

The aim of this study was to identify the potential risk factors and genetic variants associated with dental caries incidence using survival analysis.

METHODS

The Center for Oral Health Research in Appalachia recruited and prospectively followed pregnant women and their children. A total of 909 children followed from birth for up to 7 years were included in this study. Annual intra-oral examinations were performed to assess dental caries experience including the approximate time to first caries incidence in the primary dentition. Cox proportional hazards models were used to assess the associations of time to first caries incidence with self-reported risk factors and 4.9 million genetic variants ascertained using a genome-wide genotyping array.

RESULTS

A total of 196 of 909 children (21.56%) had their first primary tooth caries event during follow-up. Household income, home water source, and mother's educational attainment were significantly associated with time to first caries incidence in the stepwise Cox model. The heritability (i.e., proportion of variance explained by genetics) of time to first caries was 0.54. Though no specific genetic variants were associated at the genome-wide significance level (P < 5E-8), we identified 14 loci at the suggestive significance level (5E-8 < P < 1E-5), some of which were located within or near genes with plausible biological functions in dental caries.

CONCLUSION

Our findings indicate that household income, home water source, and mother's educational attainment are independent risk factors for dental caries incidence. We nominate several suggestive loci for further investigation.

A tumor microenvironment-related risk model for predicting the prognosis and tumor immunity of breast cancer patients

Background

This study aimed to construct a tumor microenvironment (TME)-related risk model to predict the overall survival (OS) of patients with breast cancer.

Methods

Gene expression data from The Cancer Genome Atlas was used as the training set. Differentially expressed gene analysis, prognosis analysis, weighted gene co-expression network analysis, Least Absolute Shrinkage and Selection Operator regression analysis, and Wald stepwise Cox regression were performed to screen for the TME-related risk model. Three Gene Expression Omnibus databases were used to validate the predictive efficiency of the prognostic model. The TME-risk-related biological function was investigated using the gene set enrichment analysis (GSEA) method. Tumor immune and mutation signatures were analyzed between low- and high-TME-risk groups. The patients’ response to chemotherapy and immunotherapy were evaluated by the tumor immune dysfunction and exclusion (TIDE) score and immunophenscore (IPS).

Results

Five TME-related genes were screened for constructing a prognostic signature. Higher TME risk scores were significantly associated with worse clinical outcomes in the training set and the validation set. Correlation and stratification analyses also confirmed the predictive efficiency of the TME risk model in different subtypes and stages of breast cancer. Furthermore, immune checkpoint expression and immune cell infiltration were found to be upregulated in the low-TME-risk group. Biological processes related to immune response functions were proved to be enriched in the low-TME-risk group through GSEA analysis. Tumor mutation analysis and TIDE and IPS analyses showed that the high-TME-risk group had more tumor mutation burden and responded better to immunotherapy.

Conclusion

The novel and robust TME-related risk model had a strong implication for breast cancer patients in OS, immune response, and therapeutic efficiency.

Identification of key genes in cutaneous squamous cell carcinoma: a transcriptome sequencing and bioinformatics profiling study

Background

Long-term exposure to ultraviolet (UV) radiation can cause cutaneous squamous cell carcinoma (cSCC), which is one of the most common malignant cancers worldwide. Actinic keratosis (AK) is generally considered a precancerous lesion of cSCC. However, the pathogenesis and oncogenic processes of AK and cSCC remain elusive, especially in the context of photodamage.

Methods

In this study, transcriptome sequencing was performed on AK, cSCC, normal sun-exposed skin (NES) tissues, and normal non-sun-exposed skin (NNS) from 24 individuals. Bioinformatics analysis to identify the differentially expressed genes (DEGs) of 4 groups, and potential key genes of cSCC were validated by real-time quantitative reverse transcription PCR (qRT-PCR).

Results

A total of 46,930 genes were differentially expressed in the 4 groups, including 127 genes that were differentially expressed between NES and NNS, 420 DEGs in AK compared to NES, 1,658 DEGs in cSCC compared to NES, and 1,389 DEGs in cSCC compared to AK. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis suggested that the DEGs are involved in multiple pathways, including extracellular matrix (ECM)-receptor interaction, immune, inflammatory, microbial infection, and other related pathways. Finally, 5 new genes (HEPHL1, FBN2, SULF1, SULF2, and TCN1) were confirmed significantly upregulated in cSCC.

Conclusions

Using transcriptome sequencing and integrated bioinformatical analysis, we have identified key DEGs and pathways in cSCC, which could improve our understanding of the cause and underlying molecular events of AK and cSCC. HEPHL1, FBN2, SULF1, SULF2, and TCN1 may be novel potential biomarkers and therapeutic targets of cSCC.

Clinicopathological Analysis and Prognostic Assessment of TCN1 in Patients with Gastric Cancer

BACKGROUND

Stomach cancer is the fourth most common type of cancer worldwide. TCN1 mainly encodes the vitamin B12 transporter, transcobalamin. TCN1 is a marker of gastrointestinal tumor progression, but the impact of TCN1 on survival is unclear.

MATERIAL/METHODS

Gastrointestinal tumor records were reviewed and analyzed, clinicopathological data were summarized, immunohistochemical detection of TCN1 was performed again, and the protein expression in tumor tissue, non-tumor tissue, and lymph nodes was semi-quantitatively analyzed. Patients were followed up for 5 years to determine the 5-year survival rates.

RESULTS

The strong immune reactivity of the TCN1 protein was significantly correlated with tumor invasion depth, regional lymph nodes, and a tumor diameter of >5 cm (Z = -2.531 and P = .016; Z = 3.785 and P < .001; Z = 2.541 and P = .049). Kaplan-Meier survival analysis showed that the total survival time of patients in the low-expression TCN1 group was significantly longer than that in the high-expression TCN1 group (P = .001; Table 2 and Figure 5). The mean survival time of all patients was 49.774 months (95% CI: 47.871-51.676; Table 4) and the 5-year overall survival rates were 73.3, 50.8, and 34.0%, respectively. Multivariate analysis revealed that regional lymph nodes (HR = 1.253; 95% CI: 1.031-1.747, P = .012), TCN1 immune expression status (HR = 2.707; 95% CI: 1.068-1.886, P = .016), and pTNM staging (HR = 2.293; 95% CI: 1.583-3.321; P = .001) were independent risk factors for poor survival.

CONCLUSION

The high expression of TCN1 in gastric tumor tissues was found to be associated with the clinicopathological factors of patients, and the high expression of TCN1 was shown to indicate a poor clinical prognosis.