Microarray analysis of lncRNA and mRNA expression profiles in sinonasal inverted papilloma
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA794137 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To explore the expression profile, potential functions, and diagnostic and clinicopathological significance of lncRNAs in sinonasal inverted papilloma (SNIP).The expression profiles of lncRNAs and mRNAs were analyzed using a microarray. The potential functions and clinical implications of specific lncRNAs were further analyzed by bioinformatics and statistical methods.
2022-01-05 | GSE193016 | GEO
Project description:Sinonasal papilloma is the most common type of sinonasal tumor, with the inverted variant being the most frequent subtype. This variant is known for its potential for recurrence and propensity for malignant transformation. The aim of this study is to investigate the biomarkers and regulatory pathways involved in the development of sinonasal inverted papilloma (SNIP).
2024-12-27 | GSE270193 | GEO
Project description:Analysis of mRNA profiling in sinonasal inverted papilloma
| PRJNA1125392 | ENA
Project description:OBJECTIVE: Although the malignant transformation of sinonasal inverted papilloma (SNIP) into squamous cell carcinomas (SCC) has been reported in the literature, the molecular mechanisms driving this transformation have not been elucidated. This study compares genome-wide DNA methylation between SNIP and SCC arising in SNIP and further validates the expression of aberrantly methylated genes. Methots:We used a comprehensive methylation profiling technique to investigate DNA methylation in CpG islands and promoters in six SNIP samples and seven SCC arising in SNIP samples. A total of 11,201 nominally differentially methylated sites were observed, between SNIP and SCC arising in SNIP. This study is the first to compare the differences in global DNA methylation between SNIP and SCC arising in SNIP.
2019-01-22 | GSE125399 | GEO
Project description:Putative Biomarkers of malignant transformation of sinonasal inverted papilloma into squamous cell carcinoma
| PRJNA516218 | ENA
Project description:Long non-coding RNAs (lncRNAs) play important roles in various biological progresses of carcinogenesis. However, the function of lncRNAs in human sinonasal squamous cell carcinoma (SNSCC) remains greatly unclear. In the current study, lncRNA AC091729.7 expression was examined in SNSCC samples by using microarray.The human 8 × 60 K lncRNA array was produced by Arraystar Company (USA). Over 25,000 lncRNAs were gathered from the canonical data sources encompassing UCSC, NCBI RefSeq, RNAdb, and NRED.
2019-10-15 | GSE138809 | GEO
Project description:LncRNA Expression Profiling in sinonasal squamous cell carcinomas
| PRJNA577404 | ENA
Project description:Inverted sinonasal papilloma (ISP) is a locally aggressive neoplasm associated with sinonasal squamous cell carcinoma (SNSCC) in 10% to 25% of cases. To date, no recurrent mutations have been identified in ISP or SNSCC. Using targeted next-generation sequencing and Sanger sequencing, we identified activating EGFR mutations in 88% of ISP and 77% of ISP-associated SNSCC. Identical EGFR genotypes were found in matched pairs of ISP and associated SNSCC, providing the first genetic evidence of a biologic link between these tumors. EGFR mutations were not identified in exophytic or oncocytic papillomas or non-ISP-associated SNSCC, suggesting that the ISP/SNSCC spectrum is biologically distinct among sinonasal squamous tumors. Patients with ISP harboring EGFR mutations also exhibited an increased progression-free survival compared with those with wild-type EGFR. Finally, treatment of ISP-associated carcinoma cells with irreversible EGFR inhibitors resulted in inactivation of EGFR signaling and growth inhibition. These findings implicate a prominent role for activating EGFR mutations in the pathogenesis of ISP and associated SNSCC and rationalize consideration of irreversible EGFR inhibitors in the therapy of these tumors.
| S-EPMC4508878 | biostudies-literature
Project description:Objective We review our institution's experience with the treatment of inverted papilloma (IP) with emphasis on the implications of surgical margins for disease control. Design Retrospective chart review of patients with IP treated at the University of Michigan from 1996 to 2011. Setting Tertiary care center. Participants Patients undergoing surgical resection with curative intent for IP. Main Outcome Measures Overall survival, disease-specific survival, and locoregional control were used as main outcome measures. Results We studied 129 patients including 19 with carcinoma arising from IP. Disease-free rates at 2, 3, and 5 years were 79.7%, 77.9%, and 61%, respectively. Overall, 10 of 18 recurrences were detected > 2 years from follow-up, with recurrences detected up to 8 years from surgery. For benign disease, obtaining tissue margins outside of the primary specimen for margin control did not affect disease control rates. Conclusion IP is a disease that requires significant follow-up periods beyond 2 years. For IP without carcinogenesis, acquiring margins outside of the tumor specimen did not appear to affect disease control rates in this study. No clear predictors of malignancy were seen in this study, which highlights the need for further research to predict this phenomenon.
| S-EPMC3969439 | biostudies-other
Project description:PurposeAccurate preoperative prediction of the malignant transformation of sinonasal inverted papilloma (IP) is essential for guiding biopsy, planning appropriate surgery and prognosis of patients. We aimed to investigate the value of MRI-based radiomics in discriminating IP from IP-transformed squamous cell carcinomas (IP-SCC).MethodsA total of 236 patients with IP-SCC (n=92) or IP (n=144) were enrolled and divided into a training cohort and a testing cohort. Preoperative MR images including T1-weighted, T2-weighted, and contrast enhanced T1-weighted images were collected. Radiomic features were extracted from MR images and key features were merged into a radiomic model. A morphological features model was developed based on MR morphological features assessed by radiologists. A combined model combining radiomic features and morphological features was generated using multivariable logistic regression. For comparison, two head and neck radiologists were independently invited to distinguish IP-SCC from IP. The area under the receiver operating characteristics curve (AUC) was used to assess the performance of all models.ResultsA total of 3948 radiomic features were extracted from three MR sequences. After feature selection, we saved 15 key features for modeling. The AUC, sensitivity, specificity, and accuracy on the testing cohort of the combined model based on radiomic and morphological features were respectively 0.962, 0.828, 0.94, and 0.899. The diagnostic ability of the combined model outperformed the morphological features model and also outperformed the two head and neck radiologists.ConclusionsA combined model based on MR radiomic and morphological features could serve as a potential tool to accurately predict IP-SCC, which might improve patient counseling and make more precise treatment planning.
| S-EPMC8983836 | biostudies-literature