Virtual staining of colon cancer tissue by label-free Raman micro-spectroscopy

The Analyst ◽  
2017 ◽  
Vol 142 (8) ◽  
pp. 1207-1215 ◽  
Author(s):  
D. Petersen ◽  
L. Mavarani ◽  
D. Niedieker ◽  
E. Freier ◽  
A. Tannapfel ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Spectral Imaging ◽  
Cancer Tissue ◽  
Label Free ◽  
Colon Cancer Tissue ◽  
Free Classification ◽  
Raman Spectral

The great capability of virtual staining for label-free classification of colon cancer tissue has been demonstrated via Raman spectral imaging.

scholarly journals Label-free classification of colon cancer grading using infrared spectral histopathology

2016 ◽  
Vol 187 ◽  
pp. 105-118 ◽  
Author(s):  
C. Kuepper ◽  
F. Großerueschkamp ◽  
A. Kallenbach-Thieltges ◽  
A. Mosig ◽  
A. Tannapfel ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Label Free ◽  
Infrared Spectral ◽  
Poorly Differentiated ◽  
Well Differentiated ◽  
Free Classification ◽  
Cancer Grading ◽  
Spectral Histopathology ◽  
Good Agreement

In recent years spectral histopathology (SHP) has been established as a label-free method to identify cancer within tissue. Herein, this approach is extended. It is not only used to identify tumour tissue with a sensitivity of 94% and a specificity of 100%, but in addition the tumour grading is determined. Grading is a measure of how much the tumour cells differ from the healthy cells. The grading ranges from G1 (well-differentiated), to G2 (moderately differentiated), G3 (poorly differentiated) and in rare cases to G4 (anaplastic). The grading is prognostic and is needed for the therapeutic decision of the clinician. The presented results show good agreement between the annotation by SHP and by pathologists. A correlation matrix is presented, and the results show that SHP provides prognostic values in colon cancer, which are obtained in a label-free and automated manner. It might become an important automated diagnostic tool at the bedside in precision medicine.

scholarly journals Towards automated cancer screening: Label-free classification of fixed cell samples using wavelength modulated Raman spectroscopy

2018 ◽  
Vol 11 (4) ◽  
pp. e201700244 ◽  
Author(s):  
Lana Woolford ◽  
Mingzhou Chen ◽  
Kishan Dholakia ◽  
C. Simon Herrington
Keyword(s):  
Raman Spectroscopy ◽  
Cancer Screening ◽  
Label Free ◽  
Fixed Cell ◽  
Free Classification

scholarly journals Research for Expression and Prognostic Value of GABRD in Colon Cancer and Coexpressed Gene Network Construction Based on Data Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tao Liu ◽  
Yuejun Fang
Keyword(s):  
Data Mining ◽  
Colon Cancer ◽  
Normal Tissue ◽  
Predictive Ability ◽  
Gene Interaction ◽  
Notch Signaling Pathway ◽  
Cancer Tissue ◽  
Gamma Aminobutyric Acid ◽  
Colon Cancer Tissue ◽  
Go Annotation

Colon cancer is one of the top five cancers with the highest incidence rate in the world. In order to better understand the pathogenesis and progression of colon cancer, it is still necessary to investigate the abnormally expressed genes in cancer tissue. In this study, the Oncomine database was used for expression analysis, and it was found that the expression level of gamma-aminobutyric acid type A receptor subunit delta (GABRD) gene was upregulated in colon cancer tissue compared with that in normal tissue. UALCAN was used to analyze the expression of GABRD in different groups of age, gender, cancer stage, N stage, and histological subtype. Then, it was also found that the expression of GABRD in each subgroup of colon cancer tissue was all high compared with that in normal tissue. LinkedOmics was used to screen out the differentially expressed genes related to GABRD expression in colon cancer. GO annotation and KEGG pathway enrichment analyses found that the correlated genes may be related to breast cancer, human papillomavirus infection, Notch signaling pathway, and other pathways. Thereafter, GSEA was performed to obtain GABRD-related kinases, miRNAs, and transcription factors, and gene interaction networks were constructed. It was found that GABRD may be involved in cell cycle regulation. Finally, websites like GEPIA were used to detect the predictive ability of GABRD on the prognosis of patients with colon cancer. Kaplan-Meier analysis suggested that the upregulation of GABRD expression was related to the poor prognosis of patients with colon cancer. Overall, in this study, the potential role and prognostic ability of GABRD in colon cancer were explored through data mining, which can be a clue for further research on GABRD.

Abstract 4944: Detection of functional P-selectin ligands expressed on colon cancer tissue using a novel flow-based assay

2016 ◽  
Author(s):  
Eric W. Martin ◽  
Ramiro Malgor ◽  
Vicente A. Resto ◽  
Douglas J. Goetz ◽  
Monica M. Burdick
Keyword(s):  
Colon Cancer ◽  
Cancer Tissue ◽  
Colon Cancer Tissue ◽  
Selectin Ligands
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