scholarly journals Systemic Investigation Identifying Salivary miR-196b as a Promising Biomarker for Early Detection of Head-Neck Cancer and Oral Precancer Lesions

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1411
Author(s):  
Ann-Joy Cheng ◽  
Guo-Rung You ◽  
Che-Jui Lee ◽  
Ya-Ching Lu ◽  
Shang-Ju Tang ◽  
...  

Background: Liquid biopsy is a rapidly growing field, for it may provide a minimally invasive way to acquire pathological data for personalized medicine. This study developed a systemic strategy to discover an effective salivary biomarker for early detection of patients with head-neck squamous carcinoma (HNSC) and oral precancer lesion (OPC). Methods: A total of 10 miRNAs were examined in parallel with multiple independent cohorts. These included a training set of salivary samples from HNSC patients, the TCGA-HNSC and GSE31277 cohorts to differentiate miRNAs between tumor and normal tissues, and groups of salivary samples from healthy individuals, patients with HNSC and OPC. Results: The combined results from the salivary training set and the TCGA-HNSC cohort showed that four miRNAs (miR-148b, miR-155, miR-196b, and miR-31) consistently increased in HNSC patients. Further integration with the GSE31277 cohort, two miRNAs (miR-31 and miR-196b) maintained at high significances. Further assessment showed that salivary miR-196b was a prominent diagnostic biomarker, as it remarkably discriminated between healthy individuals and patients with HNSC (p < 0.0001, AUC = 0.767, OR = 5.64) or OPC (p < 0.0001, AUC = 0.979, OR = 459). Conclusion: Salivary miR-196b could be an excellent biomarker for diagnosing OPC and early detection of HNSC. This molecule may be used for early screening high-risk groups of HNSC.

2021 ◽  
Vol 41 (1) ◽  
pp. 467-475
Author(s):  
IOANNIS M. KOUKOURAKIS ◽  
ANNA ZYGOGIANNI ◽  
VASSILIOS KOULOULIAS ◽  
GEORGE KYRGIAS ◽  
MARIANTHI PANTELIADOU ◽  
...  

2005 ◽  
Vol 27 (20) ◽  
pp. 38-39 ◽  
Author(s):  
Devon Schuyler

2021 ◽  
Vol 82 ◽  
pp. 7-16
Author(s):  
Savino Cilla ◽  
Francesco Deodato ◽  
Carmela Romano ◽  
Anna Ianiro ◽  
Gabriella Macchia ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2565
Author(s):  
Yixing Wu ◽  
Hongmei Zeng ◽  
Qing Yu ◽  
Huatian Huang ◽  
Beatrice Fervers ◽  
...  

Several exosome proteins, miRNAs and KRAS mutations have been investigated in the hope of carrying out the early detection of pancreatic cancer with high sensitivity and specificity, but they have proven to be insufficient. Exosome RNAs, however, have not been extensively evaluated in the diagnosis of pancreatic cancer. The purpose of this study was to investigate the potential of circulating exosome RNAs in pancreatic cancer detection. By retrieving RNA-seq data from publicly accessed databases, differential expression and random-effects meta-analyses were performed. The results showed that pancreatic cancer had a distinct circulating exosome RNA signature in healthy individuals, and that the top 10 candidate exosome RNAs could distinguish patients from healthy individuals with an area under the curve (AUC) of 1.0. Three (HIST2H2AA3, LUZP6 and HLA-DRA) of the 10 genes in exosomes had similar differential patterns to those in tumor tissues based on RNA-seq data. In the validation dataset, the levels of these three genes in exosomes displayed good performance in distinguishing cancer from both chronic pancreatitis (AUC = 0.815) and healthy controls (AUC = 0.8558), whereas a slight difference existed between chronic pancreatitis and healthy controls (AUC = 0.586). Of the three genes, the level of HIST2H2AA3 was positively associated with KRAS status. However, there was no significant difference in the levels of the three genes across the disease stages (stages I–IV). These findings indicate that circulating exosome RNAs have a potential early detection value in pancreatic cancer, and that a distinct exosome RNA signature exists in distinguishing pancreatic cancer from healthy individuals.


2013 ◽  
Vol 106 ◽  
pp. S99
Author(s):  
A. Duffton ◽  
R. Muirhead ◽  
M. Rizwanullah ◽  
C. Paterson ◽  
M. McJury ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document