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Objective: This study was conducted to investigate key long noncoding RNAs (lncRNAs) involved in competitive endogenous RNA (ceRNA) network associated with laryngeal squamous cell carcinoma (LSCC). Materials and Methods: Three mRNA datasets, two miRNA datasets, and one lncRNA dataset of LSCC were downloaded from GEO database. Following the identification of differentially expressed mRNAs (DEmRNAs), (microRNAs) miRNAs (DEmiRNAs), and lncRNAs (DElncRNAs) in LSCC compared with adjacent tissues, functional enrichment of DEmRNAs was performed. Then, construction of the ceRNA (DElncRNA‐DEmiRNA‐DEmRNA) regulatory network and functional analyses of all DEmRNAs in ceRNA regulatory network were conducted. Quantitative real‐time polymerase chain reactions (qRT‐PCR) were used to detect the expression levels of selected DEmRNAs, DEmiRNAs, and DElncRNAs. Results: A total of 3449 DEmRNAs, 40 DEmiRNAs, and 100 DElncRNAs were identified in LSCC. The ceRNA networks, which contained 132 DElncRNA‐DEmiRNA pairs and 287 DEmiRNA‐DEmRNA pairs, involving 44 lncRNAs, 3 miRNAs, and 271 mRNAs, were obtained. DEmRNAs in ceRNA regulatory networks were significantly enriched in pathways in cancer, prostate cancer, and aldosterone‐regulated sodium reabsorption. Except for HCG22 and hsa‐miR‐1246, expressions of the others in the qRT‐PCR results played the same pattern with that in our integrated analysis, generally. Conclusions: We concluded that HCG22/EGOT‐hsa‐miR‐1275‐FAM107A and HCG22/EGOT‐hsa‐miR‐1246‐Glycerol‐3‐phosphate dehydrogenase 1 like interaction pairs may play a central role in LSCC. [ABSTRACT FROM AUTHOR]

Infiltrating immune cells in the tumor microenvironment (TME) influence tumor progression and patient prognosis, making them attractive therapeutic targets for immunotherapy research. A deeper understanding of immune cell distributions in the TME in hepatocellular carcinoma (HCC) is needed to identify interactions among different immune cell types that might impact the effectiveness of potential immunotherapies. We performed multiplex immunohistochemistry using a tissue microarray of samples from 302 patients with HCC to elucidate the spatial distributions of immune cell subpopulations (CD3+, CD4+, CD8+, CD66b+, and CD68+) in HCC and normal liver tissues. We analyzed the associations between different immune subpopulations using Pearson's correlation. G(r) functions, K(r) functions and Euclidean distance were applied to characterize the bivariate distribution patterns among the immune cell types. Cox regression and Kaplan‐Meier analysis were used to evaluate the associations between tumor infiltration by different immune cells and patient outcomes after curative surgery. We also analyzed the relationship between the spatial distribution of different immune cell subpopulations with HCC patient prognosis. We found that the immune cell spatial distribution in the HCC TME is heterogeneous. Our study provides a theoretical basis for HCC immunotherapy. [ABSTRACT FROM AUTHOR]

Background: This study aimed to evaluate the role of plasma microRNA panel (miR-122, miR-192, miR-21, miR-223, miR-26a, miR-27a and miR-801) for prediction and surveillance of early tumor recurrence in hepatocellular carcinoma (HCC) patients who had undergone liver transplantation (LT). Methods: The expression of plasma microRNA panel was assayed in 193 HCC patients (training cohort, n =151; validation cohort, n = 42). Sensitivity and specificity for detecting post-transplant HCC recurrence, and the relationship of microRNA panel expression with clinical characteristics were analyzed accordingly. The prognostic value of microRNA panel was compared with that of AFP (alpha-fetoprotein) and DCP (Des-gamma-carboxyprothrombin). Cox regression analyses were used to evaluate independent prognostic factors. Results: In the training cohort, the rate of positive plasma microRNA panel status at 7-14 days after LT (late phase; 44.2%) decreased than that before (76.2%, P < 0.001) and 1-6 days after LT (early phase; 78.5%, P < 0.001). At late phase, positive microRNA panel status correlated with higher early tumor recurrence rate (one year after LT) than negative status (45.9% vs 10.7%; P < 0.001). Patients with persistent positive microRNA panel status both before and after LT had the highest early tumor recurrence rate in this cohort (54.9%, P < 0.001). The results were consistent in the validation cohort. Cox regression analysis found that positive plasma microRNA panel status at late phase was the only independent risk factor for early recurrence (HR: 4.903, 95% CI = 2.195 - 10.951; P < 0.001). Dynamic monitoring demonstrated plasma microRNA panel status changed from negative to positive earlier than AFP and DCP upon recurrence, and the median time between positivity of plasma microRNA and imaging evidence of recurrence was 2.4 (0.5-10.0) months. Conclusions: Plasma microRNA panel could be a noninvasive biomarker for prediction and surveillance of early tumor recurrence in HCC patients who have undergone LT., Competing Interests: Competing Interests: The authors have declared that no competing interest exists., (© The author(s).)