Head and neck squamous cell carcinoma is the sixth most common cancer worldwide predominately associated with tobacco use. Changing cause and increased incidence in oropharyngeal carcinomas is ...associated with high-risk types of human papilloma virus and has an improved survival. Optical devices may augment visual oral examination; however, their lack of specificity still warrants tissue evaluation/biopsy. Histologic factors of oral carcinomas are critical for patient management and prognostic determination. Clinical biomarkers are still needed to improve early detection, predict malignant transformation, and optimize therapies.
IL-10(-/-) mice, an animal model of Th1-mediated inflammatory bowel disease, were screened for the expression of 600 microRNAs (miRNAs) using colonic tissues and PBLs from animals having either mild ...inflammation or severe intestinal inflammation. The development of colonic inflammation in IL-10(-/-) mice was accompanied by upregulation in the expression of 10 miRNAs (miR-19a, miR-21, miR-31, miR-101, miR-223, miR-326, miR-142-3p, miR-142-5p, miR-146a, and miR-155). Notably, the expression of all of these miRNAs plus miR-375 was elevated in PBLs of IL-10(-/-) mice at a time when colonic inflammation was minimal, suggesting that changes in specific miRNAs in circulating leukocytes may be harbingers of ensuing colonic pathology. In vitro exposure of colonic intraepithelial lymphocytes to IL-10 resulted in downregulation of miR-19a, miR-21, miR-31, miR-101, miR-223, and miR-155. Interestingly, unlike IL-10(-/-) mice, changes in miRNAs in PBL of dextran sulfate sodium-treated mice were minimal but selectively elevated in the colon after pathology was severe. We further show that miR-223 is a negative regulator of the Roquin ubiquitin ligase, Roquin curtails IL-17A synthesis, and the 3' untranslated region of Roquin is a target for miR-223, thus defining a molecular pathway by which IL-10 modulates IL-17-mediated inflammation. To identify additional miRNAs that may be involved in the regulation of Roquin, transcriptome analysis was done using cDNAs from HeLa cells transfected with 90 miRNA mimics. Twenty-six miRNAs were identified as potential negative regulators of Roquin, thus demonstrating functional complexity in gene expression regulation by miRNAs.
Potentially premalignant oral epithelial lesions (PPOELs) are a group of clinically suspicious conditions, of which a small percentage will undergo malignant transformation. PPOELs are suboptimally ...diagnosed and managed under the current standard of care. Dysplasia is the most well-established marker to distinguish high-risk PPOELs from low-risk PPOELs, and performing a biopsy to establish dysplasia is the diagnostic gold standard. However, a biopsy is limited by morbidity, resource requirements, and the potential for underdiagnosis. Diagnostic adjuncts may help clinicians better evaluate PPOELs before definitive biopsy, but existing adjuncts, such as toluidine blue, acetowhitening, and autofluorescence imaging, have poor accuracy and are not generally recommended. Recently, in vivo microscopy technologies, such as high-resolution microendoscopy, optical coherence tomography, reflectance confocal microscopy, and multiphoton imaging, have shown promise for improving PPOEL patient care. These technologies allow clinicians to visualize many of the same microscopic features used for histopathologic assessment at the point of care.
Histopathology plays a critical role in the diagnosis and surgical management of cancer. However, access to histopathology services, especially frozen section pathology during surgery, is limited in ...resource-constrained settings because preparing slides from resected tissue is time-consuming, labor-intensive, and requires expensive infrastructure. Here, we report a deep-learning-enabled microscope, named DeepDOF-SE, to rapidly scan intact tissue at cellular resolution without the need for physical sectioning. Three key features jointly make DeepDOF-SE practical. First, tissue specimens are stained directly with inexpensive vital fluorescent dyes and optically sectioned with ultra-violet excitation that localizes fluorescent emission to a thin surface layer. Second, a deep-learning algorithm extends the depth-of-field, allowing rapid acquisition of in-focus images from large areas of tissue even when the tissue surface is highly irregular. Finally, a semi-supervised generative adversarial network virtually stains DeepDOF-SE fluorescence images with hematoxylin-and-eosin appearance, facilitating image interpretation by pathologists without significant additional training. We developed the DeepDOF-SE platform using a data-driven approach and validated its performance by imaging surgical resections of suspected oral tumors. Our results show that DeepDOF-SE provides histological information of diagnostic importance, offering a rapid and affordable slide-free histology platform for intraoperative tumor margin assessment and in low-resource settings.
Oral cancer is a significant health problem in the USA and throughout the world. Most oral cancer patients are diagnosed at a late stage, when treatment is less successful and treatment-associated ...morbidity is more severe. A number of new diagnostic aids to conventional oral examination have recently been introduced to assist in the early detection of oral neoplasia. In particular, autofluorescence imaging has emerged as a promising adjunctive technique to improve early identification of oral premalignant lesions. Direct visual inspection of tissue autofluorescence has shown encouraging results in high-prevalence populations, but the technique requires subjective interpretation and depends on the visual recognition skills of the examiner. Capturing and analyzing digital fluorescence images can reduce subjectivity and potentially improve sensitivity of detection of precancerous changes. Recent studies of wide-field autofluorescence imaging in low-prevalence populations suggest that benign lesions such as inflammation may give rise to false-positive results. High-resolution fluorescence imaging is a new modality that can be used in conjunction with wide-field imaging to improve specificity by imaging subcellular detail of neoplastic tissues. The combination of wide-field and high-resolution fluorescence imaging systems with automated image analysis should be investigated to maximize overall diagnostic performance for early detection of oral neoplasia.
Objective Squamous cell carcinoma of the oral tongue (SCCOT) exhibits high risk for recurrence and regional metastasis even after surgical resection. We assessed the clinicopathologic and prognostic ...significance of a group of functionally related biomarkers. Study Design We used a tissue microarray consisting of SCCOT from 32 patients for this study. These patients were treated at the University of Texas MD Anderson Cancer Center from 1995 to 2008. Biomarker expression levels were examined by immunohistochemistry and graded semiquantitatively to determine their prognostic significance. Results CD147 and Tp63 expressions were significantly associated with a higher T stage and Ki-67 labeling index, as well as a shorter overall survival (OS) rate. Expression of Tp63 associated positively with poorly differentiated histology. There was significant association of Tp63 with the expression levels of CD147 and Glut-1. Glut-1 overexpression was marginally associated with a higher T stage. There was no prognostic significance of CD44 v6 expression in SCCOT. Conclusion SCCOT with CD147 overexpression in combination with high Ki-67 labeling index had poor OS. CD147 and Ki-67 overexpression is associated with aggressive disease with poor prognosis in SCCOT.
Roquin, an E3 ubiquitin ligase that localizes to cytosolic RNA granules, is involved in regulating mRNA stability and translation. Mice that have a M199R mutation in the Roquin protein (referred to ...as sanroque or Roquin(san/san) mice) develop autoimmune pathologies, although the extent to which these occur in the intestinal mucosa has not been determined. Here, we demonstrate that Roquin(san/san) mice reproducibly develop intestinal inflammation in the small intestine but not the colon. Similarly, mice generated in our laboratory in which the Roquin gene was disrupted by insertion of a gene trap cassette (Roquin(gt/gt) mice) had small intestinal inflammation that mimicked that of Roquin(san/san) mice. MLN cells in Roquin(san/san) mice consisted of activated proliferating T cells, and had increased numbers of CD44(hi) CD62L(lo) KLRG1(+) short-lived effector cells. Proportionally more small intestinal intraepithelial lymphocytes in Roquin(san/san) mice expressed the ICOS T cell activation marker. Of particular interest, small intestinal lamina propria lymphocytes in Roquin(san/san) mice consisted of a high proportion of Gr-1(+) T cells that included IL-17A(+) cells and CD8(+) IFN-γ(+) cells. Extensive cytokine dysregulation resulting in both over-expression and under-expression of chemotactic cytokines occurred in the ileum of Roquin(san/san) mice, the region most prone to the development of inflammation. These findings demonstrate that chronic inflammation ensues in the intestine following Roquin alteration either as a consequence of protein mutation or gene disruption, and they have implications for understanding how small intestinal inflammation is perpetuated in Crohn's disease (CD). Due to the paucity of animal models of CD-like pathophysiology in the small intestine, and because the primary gene/protein defects of the Roquin animal systems used here are well-defined, it will be possible to further elucidate the underlying genetic and molecular mechanisms that drive the disease process.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Background
Oral leukoplakia (OL) is associated with an increased risk for oral cancer (OC) development. Prediction of OL cancer progression may contribute to decreased OC morbidity and mortality by ...favoring early intervention. Current OL progression risk assessment approaches face large interobserver variability and is weakly prognostic. We hypothesized that convolutional neural networks (CNN)‐based histology image analyses could accelerate the discovery of better OC progression risk models.
Methods
Our CNN‐based oral mucosa risk stratification model (OMRS) was trained to classify a set of nondysplastic oral mucosa (OM) and a set of OC H&E slides. As a result, the OMRS model could identify abnormal morphological features of the oral epithelium. By applying this model to OL slides, we hypothesized that the extent of OC‐like features identified in the OL epithelium would correlate with its progression risk. The OMRS model scored and categorized the OL cohort (n = 62) into high‐ and low‐risk groups.
Results
OL patients classified as high‐risk (n = 31) were 3.98 (95% CI 1.36–11.7) times more likely to develop OC than low‐risk ones (n = 31). Time‐to‐progression significantly differed between high‐ and low‐risk groups (p = 0.003). The 5‐year OC development probability was 21.3% for low‐risk and 52.5% for high‐risk patients. The predictive power of the OMRS model was sustained even after adjustment for age, OL site, and OL dysplasia grading (HR = 4.52, 1.5–13.7).
Conclusion
The ORMS model successfully identified OL patients with a high risk of OC development and can potentially benefit OC early diagnosis and prevention policies.
We developed a deep learning image analysis model using a convolutional neural network to predict the risk of oral cancer development from whole slide images in a patient with oral leukoplakia. The model successfully discriminated patients into two groups with distinct risk for oral cancer development, which represents a potential ancillary tool for the management of oral leukoplakia and may contribute to the early detection and treatment of oral cancer.
Oral cancer is a deadly and disfiguring disease that could greatly benefit from new diagnostic approaches enabling early detection. In this pilot study, we describe a nano-bio-chip (NBC) sensor ...technique for analysis of oral cancer biomarkers in exfoliative cytology specimens, targeting both biochemical and morphologic changes associated with early oral tumorigenesis. Here, oral lesions from 41 dental patients, along with normal epithelium from 11 healthy volunteers, were sampled using a noninvasive brush biopsy technique. Specimens were enriched, immunolabeled, and imaged in the NBC sensor according to previously established assays for the epidermal growth factor receptor (EGFR) biomarker and cytomorphometry. A total of 51 measurement parameters were extracted using custom image analysis macros, including EGFR labeling intensity, cell and nuclear size, and the nuclear-to-cytoplasmic ratio. Four key parameters were significantly elevated in both dysplastic and malignant lesions relative to healthy oral epithelium, including the nuclear area and diameter (P < 0.0001), the nuclear-to-cytoplasmic ratio (P < 0.0001), and EGFR biomarker expression (P < 0.03). Further examination using logistic regression and receiver operating characteristic curve analyses identified morphologic features as the best predictors of disease (area under the curve < or =0.93) individually, whereas a combination of all features further enhanced discrimination of oral cancer and precancerous conditions (area under the curve, 0.94) with high sensitivity and specificity. Further clinical trials are necessary to validate the regression model and evaluate other potential biomarkers, but this pilot study supports the NBC sensor technique as a promising new diagnostic tool for early detection of oral cancer, which could enhance patient care and survival.
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