Introducing a Novel and Robust Technique for Determining Lymph Node Status in Colorectal Cancer

COL8A1 Regulates Esophageal Squamous Carcinoma Proliferation and Invasion Through PI3K/AKT Pathway

PURPOSE

Esophageal squamous carcinoma (ESCC) is a gastrointestinal malignancy with a high mortality, but the tumorigenesis is still unclear, restricting the target therapy development of ESCC. We explored the role of COL8A1 in ESCC development.

METHODS

Tissue microarrays were used to investigate the expression level of COL8A1 in ESCC tissues. The association between COL8A1 and the overall survival of ESCC patients was assessed. The effect of differential COL8A1 expression on tumor growth was investigated by the xenograft model. The regulation of COL8A1 on tumor growth, migration, and invasion was studied by using ESCC cell lines. The signal transduction pathways involved in COL8A1 were bioinformatically profiled and validated.

RESULTS

The COL8A1 was significantly expressed in cancerous tissues and was associated with poor prognosis in patients with ESCC. In vivo, the tumor growth obviously declined after inhibition of the COL8A1 expression. The abilities of cell proliferation and invasion were both decreased when the expression of COL8A1 was knockdown in ESCC cell line. Furthermore, we found the inactivation of the PI3K/AKT pathway that was mediated by knockdown of COL8A1 in ESCC cells, which was reversed with COL8A1 overexpression, whereas the cell proliferation and invasion ability were restored.

CONCLUSIONS

This is the first report that COL8A1 promote ESCC progression, which hopefully will provide a theoretical basis for clinical targeting of ESCC.

Creation of signatures and identification of molecular subtypes based on disulfidptosis-related genes for glioblastoma patients' prognosis and immunological activity

BACKGROUND

In recent times, disulfidptosis, an intricate form of cellular demise, has garnered attention due to its impact on prognosis, tumor progression and treatment response. Nevertheless, the exact significance of disulfidptosis-related genes (DisRGs) in glioblastoma (GBM) remains enigmatic.

METHODS

The GEO and TCGA databases provided transcriptional and clinically relevant data on tumor samples, while the GTEx database provided data on healthy tissues. Disulfidptosis-related genes (DisRGs) were procured from previous scholarly investigations. The expression profile of DisRGs was initially scrutinized among patients diagnosed with GBM, subsequent to which their prognostic value was explored. Through consensus clustering, we constructed DisRGs-related clusters and gene subtypes. Our results established that the DisRG-related clusters had differentially expressed genes, resulting in a DisulfidptosisScore model, which had a positive prognostic value.

RESULTS

The differential expression profile of 24 DisRGs between GBM samples and healthy samples was acquired. Through consensus cluster analysis, two distinct disulfidptosis subtypes, namely DisRGcluster A and DisRGcluster B, were identified. Then, the DisulfidptosisScore model including 4 characteristic genes was constructed.Notably, patients with GBM assigned with lower score demonstrated a considerably longer overall survival (OS) compared to those with higher score.

CONCLUSION

We have effectively devised a prognostic model associated with disulfidptosis, presenting autonomous prognostic predictions for patients with GBM. These findings serve as a valuable addition to the current comprehension of disulfidptosis and offer fresh theoretical substantiation for the development of enhanced treatment strategies.

An epithelial-mesenchymal transition-related prognostic model for colorectal cancer based on weighted gene co-expression network analysis

OBJECTIVE

To identify susceptibility modules and genes for colorectal cancer (CRC) using weighted gene co-expression network analysis (WGCNA).

METHODS

Four microarray datasets were downloaded from the Gene Expression Omnibus database. We divided the tumor samples into three subgroups based on consensus clustering of gene expression, and analyzed the correlations between the subgroups and clinical features. The genetic features of the subgroups were investigated by gene set enrichment analysis (GSEA). A gene expression network was constructed using WGCNA, and a protein-protein interaction (PPI) network was used to identify the key genes. Gene modules were annotated by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses.

RESULTS

We divided the cancer cases into three subgroups based on consensus clustering (subgroups I, II, III). The green module identified by WGCNA was correlated with clinical characteristics. Ten key genes were identified according to their degree of connectivity in the protein-protein interaction network: FYN, SEMA3A, AP2M1, L1CAM, NRP1, TLN1, VWF, ITGB3, ILK, and ACTN1.

CONCLUSION

We identified 10 hub genes as candidate biomarkers for CRC. These key genes may provide a theoretical basis for targeted therapy against CRC.

Transcriptomic profiles differentiate normal rectal epithelium and adenocarcinoma

Adenocarcinoma is a histologic diagnosis based on subjective findings. Transcriptional profiles have been used to differentiate normal tissue from disease and could provide a means of identifying malignancy. The goal of this study was to generate and test transcriptomic profiles that differentiate normal from adenocarcinomatous rectum. Comparisons were made between cDNA microarrays derived from normal epithelium and rectal adenocarcinoma. Results were filtered according to standard deviation to retain only highly dysregulated genes. Genes differentially expressed between cancer and normal tissue on two-groups t test (P < 0.05, Bonferroni P value adjustment) were further analyzed. Genes were rank ordered in terms of descending fold change. For each comparison (tumor versus normal epithelium), those 5 genes with the greatest positive fold change were grouped in a classifier. Five separate tests were applied to evaluate the discriminatory capacity of each classifier. Genetic classifiers derived comparing normal epithelium with malignant rectal epithelium from pooled stages had a mean sensitivity and specificity of 99.6% and 98.2%, respectively. The classifiers derived from comparing normal and stage I cancer had comparable mean sensitivities and specificities (97% and 98%, respectively). Areas under the summary receiver-operator characteristic curves for each classifier were 0.981 and 0.972, respectively. One gene was common to both classifiers. Classifiers were tested in an independent Gene Expression Omnibus-derived dataset. Both classifiers retained their predictive properties. Transcriptomic profiles comprising as few as 5 genes are highly accurate in differentiating normal from adenocarcinomatous rectal epithelium, including early-stage disease.

Extracellular matrix gene expression profiling using microfluidics for colorectal carcinoma stratification

In cancer, biomarkers have many potential applications including generation of a differential diagnosis, prediction of response to treatment, and monitoring disease progression. Many molecular biomarkers have been put forward for different diseases but most of them do not possess the required specificity and sensitivity. A biomarker with a high sensitivity has a low specificity and vice versa. The inaccuracy of the biomarkers currently in use has led to a compelling need to identify more accurate markers with diagnostic and prognostic significance. The aim of the present study was to use a novel, droplet-based, microfluidic platform to evaluate the prognostic value of a panel of thirty-four genes that regulate the composition of extracellular matrices in colorectal carcinoma. Our method is a novel approach as it uses using continuous-flowing Polymerase Chain Reaction for the sensitive detection and accurate quantitation of gene expression. We identified a panel of relevant extracellular matrix genes whose expression levels were measured by real-time quantitative polymerase chain reaction using Taqman^® reagents in twenty-four pairs of matched colorectal cancer tumour and associated normal tissue. Differential expression patterns occurred between the normal and malignant tissue and correlated with histopathological parameters and overall surgical staging. The findings demonstrate that a droplet-based microfluidic quantitative PCR system enables biomarker classification. It was further possible to sub-classify colorectal cancer based on extracellular matrix protein expressing groups which in turn correlated with prognosis.

Does CD10 Expression Predict Lymph Node Metastasis in Colorectal Cancer?

BACKGROUND

Accurate preoperative prediction of lymph node status would be a revolutionary adjunct in treating colorectal cancer. The immunohistochemical marker CD10 has been suggested recently to have a predictive capacity for lymph node involvement in colorectal cancer.

OBJECTIVE

The aim of our study was to evaluate the relationship between the presence of the CD10 molecular marker and lymph node metastasis in a US patient population using previously banked colorectal cancer specimens.

DESIGN

This was a retrospective study.

SETTINGS

The study was conducted at a single academic institution.

PATIENTS

Included were specimens from 191 patients, with cancer stages ranging from T1N0 to T3N2.

MAIN OUTCOME MEASURES

The relationship between CD10 and different clinicopathologic parameters was assessed, as well as the ability to predict lymph node metastasis by itself and in conjunction with lymphovascular invasion.

RESULTS

CD10 was significantly correlated with left-sided colon cancers (p = 0.01) and the presence of mucinous histology and had a relatively high specificity (75.7%) for lymph node metastasis. CD10 did not correlate with lymph node status (p = 0.33) or enhance the ability of lymphovascular invasion to predict lymphatic metastasis in our patient population. Sensitivity and specificity of lymphovascular invasion alone for lymph node metastasis were 62.8% and 93.6%, whereas adding CD10 status resulted in a sensitivity of 70.6% and specificity of 69.3%. Multivariate analysis revealed only lymphovascular invasion as a predictor of lymph node metastasis in our patient population.

LIMITATIONS

This study was primarily limited by its small sample size and retrospective nature.

CONCLUSIONS

In our patient population, CD10 status was not significantly associated with lymph node metastasis, and it was no better than lymphovascular invasion alone when predicting lymph node status.

Lymphovascular invasion: a comprehensive appraisal in colon and rectal adenocarcinoma

BACKGROUND

Colon and rectal adenocarcinomas differ at a multitude of levels. The association between outcome and predictor in 1 group may obscure the relationship between outcome and predictor in the other.

OBJECTIVE

The current study aims to evaluate the prognostic properties of lymphovascular invasion in colon and rectal adenocarcinoma separately.

MATERIALS AND METHODS (DESIGN, SETTING AND PATIENTS)

A comparative retrospective analysis was undertaken to determine the prognostic properties of lymphovascular invasion in colon and rectal adenocarcinomas. Patients were classified as lymphovascular invasion positive and lymphovascular invasion negative in separate colon and rectal cancer cohorts. Within cohorts, a univariate analysis was undertaken to determine the association between lymphovascular invasion positivity and local/systemic recurrence and overall/disease-free survival. Findings were evaluated by using Kaplan-Meier estimates, log-rank analysis, and a Cox proportional hazards multivariate model.

MAIN OUTCOME MEASURE

The primary outcomes measured were overall and disease-free survival.

RESULTS

Five hundred twenty-seven patients were included in the analysis (379 with colon cancer and 148 with rectal cancer). On univariate analysis, lymphovascular invasion positivity was associated with adverse locoregional recurrence in colon (p = 0.002) but not rectal adenocarcinoma (p = 0.13). Conversely, lymphovascular invasion positivity was associated with adverse systemic recurrence in rectal (p = 0.002) but not colon adenocarcinoma (p = 0.35). On multivariate analysis, lymphovascular invasion positivity was an independent predictor of adverse disease-free survival in colon (p = 0.02) and rectal adenocarcinoma (p < 0.001). Regarding overall survival, lymphovascular invasion positivity was a poor prognostic indicator in rectal adenocarcinoma only (p = 0.04).

LIMITATIONS AND CONCLUSIONS

In this retrospective analysis, lymphovascular invasion positivity was associated with different patterns of disease recurrence in colon and rectal cancer. Lymphovascular invasion positivity was associated with adverse overall survival in rectal cancer only.

Preoperative staging CT thorax in patients with colorectal cancer: its clinical importance

BACKGROUND

Recent studies suggest that there is little benefit to routine preoperative staging CT of the thorax in colorectal cancer.

OBJECTIVE

The current study hypothesized that staging CT of the thorax is not mandated in all patients with colorectal cancer.

DESIGN

This study was a tertiary-care center retrospective observational study.

PATIENTS

Patients with a diagnosis of colon and rectal adenocarcinoma during 2006 to 2011 were included in a hospital database. Demographic, pathological, radiological, survival, and clinical factors were recorded. Three hundred eighty-two patients were included in the analysis (234 male, 148 female).

INTERVENTIONS

All patients underwent preoperative staging CT of the thorax to determine the presence of pulmonary metastasis and/or indeterminate lesions.

MAIN OUTCOME MEASURES

Patients demographics were reviewed, and the factors associated with pulmonary metastasis and indeterminate lesions were evaluated.

RESULTS

Distant metastases were evident in 61 patients (16%). CT scans revealed pulmonary metastasis in 23 patients (6%), and indeterminate lesions in 33 (8.6%). Only one-third of pulmonary lesions were evident on chest x-ray. On logistic regression analysis, nodal positivity was associated with an increased risk for pulmonary metastasis (p = 0.03). There was no difference in overall survival between patients with pulmonary metastasis and indeterminate lesions (p = 0.35, Kaplan-Meier estimate, log rank analysis). Pulmonary metastasis developed during postoperative surveillance in 7 patients with indeterminate lesions (21.2%).

LIMITATIONS

This is a retrospective, single-center study with a relatively small sample size.

CONCLUSIONS

Pulmonary metastasis is relatively rare in colorectal cancer, and staging CT of the thorax may not be mandated in low-risk patients.