ENST00000489707.5 Is a Preferred Alternative Splicing Variant of PTK7 in Adrenocortical Cancer and Shows Potential Prognostic Value

Protein tyrosine kinase 7-knockdown inhibits oral squamous cell carcinoma cell viability, proliferation, migration and invasion via downregulating dishevelled segment polarity protein 3 expression

Protein tyrosine kinase 7 (PTK7) expression has been reported to be dysregulated and to regulate various cellular activities in numerous types of cancer. However, to the best of our knowledge, the status and role of PTK7 in oral squamous cell carcinoma (OSCC) remains largely unknown. The present study aimed to investigate the involvement of PTK7 in OSCC progression and to determine the potential underlying mechanisms of action. The expression levels of PTK7 and dishevelled segment polarity protein 3 (DVL3) in OSCC cell lines were analyzed using reverse transcription-quantitative PCR and western blotting. A co-immunoprecipitation assay was used to verify the binding association between PTK7 and DVL3. In addition, OSCC cells were transfected with a short hairpin RNA targeting PTK7 or pcDNA-DVL3 overexpression vectors. The effect of PTK7 on OSCC cell viability, proliferation, migration and invasion, and the underlying mechanisms, were investigated using Cell Counting Kit-8, colony formation, wound healing and Transwell assays, respectively. Western blotting was used to analyze the expression levels of proliferation- and migration-associated proteins. The results revealed that the expression levels of both PTK7 and DVL3 were significantly upregulated in OSCC cell lines. In addition, a binding association was identified between PTK7 and DVL3 in SCC-9 cells. The knockdown of PTK7 expression inhibited OSCC cell viability, proliferation, invasion and migration, while the overexpression of DVL3 reversed the inhibitory effects of PTK7-knockdown on OSCC cells. In conclusion, the results of the present study suggested that PTK7 may be a key regulator of OSCC proliferation, migration and invasion, and PTK7-knockdown may inhibit OSCC cell viability, proliferation, invasion and migration by downregulating DVL3 expression. Therefore, PTK7 and DVL3 may represent potential biomarkers for diagnosis and treatment, as well as promising drug targets for OSCC.

The Role of Biomarkers in Adrenocortical Carcinoma: A Review of Current Evidence and Future Perspectives

Adrenocortical carcinoma (ACC) is a rare endocrine malignancy arising from the adrenal cortex often with unexpected biological behavior. It can occur at any age, with two peaks of incidence: in the first and between fifth and seventh decades of life. Although ACC are mostly hormonally active, precursors and metabolites, rather than end products of steroidogenesis are produced by dedifferentiated and immature malignant cells. Distinguishing the etiology of adrenal mass, between benign adenomas, which are quite frequent in general population, and malignant carcinomas with dismal prognosis is often unfeasible. Even after pathohistological analysis, diagnosis of adrenocortical carcinomas is not always straightforward and represents a great challenge for experienced and multidisciplinary expert teams. No single imaging method, hormonal work-up or immunohistochemical labelling can definitively prove the diagnosis of ACC. Over several decades' great efforts have been made in finding novel reliable and available diagnostic and prognostic factors including steroid metabolome profiling or target gene identification. Despite these achievements, the 5-year mortality rate still accounts for approximately 75% to 90%, ACC is frequently diagnosed in advanced stages and therapeutic options are unfortunately limited. Therefore, imperative is to identify new biological markers that can predict patient prognosis and provide new therapeutic options.

Alternative Splicing Events and Splicing Factors Are Prognostic in Adrenocortical Carcinoma

Alternative splicing is involved in the pathogenesis of human diseases, including cancer. Here, we investigated the potential application of alternative splicing events (ASEs) and splicing factors (SFs) in the prognosis of adrenocortical carcinoma (ACC). Transcriptome data from 79 ACC cases were downloaded from The Cancer Genome Atlas database, and percent spliced-in values of seven splicing types were downloaded from The Cancer Genome Atlas SpliceSeq database. By the univariate Cox regression analysis, 1,839 survival-related ASEs were identified. Prognostic indices based on seven types of survival-related ASEs were calculated by multivariate Cox regression analysis. Survival curves and receiver operating characteristic curves were used to assess the diagnostic value of the prognostic model. Independent prognosis analysis identified several ASEs (e.g., THNSL2| 54469| ME) that could be used as biomarkers to predict the prognosis of patients with ACC accurately. By analyzing the co-expression correlation between SFs and ASEs, 188 highly correlated interactions were established. From the protein interaction network, we finally screened six hub SFs, including YBX1, SART1, PRCC, SNRPG, SNRPE, and SF3B4, whose expression levels were significantly related to the overall survival and prognosis of ACC. Our findings provide a reliable model for predicting the prognosis of ACC patients based on aberrant alternative splicing patterns.