Immunohistochemistry, histopathology and infrared spectral histopathology of colon cancer tissue sections

2012 ◽  
Vol 6 (1) ◽  
pp. 88-100 ◽  
Author(s):  
Angela Kallenbach-Thieltges ◽  
Frederik Großerüschkamp ◽  
Axel Mosig ◽  
Max Diem ◽  
Andrea Tannapfel ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Tissue ◽  
Colon Cancer Tissue ◽  
Tissue Sections ◽  
Infrared Spectral ◽  
Spectral Histopathology

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

scholarly journals Identification of alternatively spliced TIMP-1 mRNA in cancer cell lines and colon cancer tissue

2007 ◽  
Vol 1 (2) ◽  
pp. 205-215 ◽  
Author(s):  
P.A. Usher ◽  
A.M. Sieuwerts ◽  
A. Bartels ◽  
U. Lademann ◽  
H.J. Nielsen ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Cancer Cell Lines ◽  
Cancer Tissue ◽  
Colon Cancer Tissue ◽  
Alternatively Spliced

A pilot study of the immunohistochemical pattern of neuropilin-2 (NRP2) labeling and correlation with tumor stage in colon cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e14098-e14098
Author(s):  
Hongliu Sun ◽  
Ashleigh M. Kussman ◽  
Carol Freeman ◽  
Judy Meredith ◽  
Kenneth Hensley ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Pilot Study ◽  
Internal Control ◽  
Medical Center ◽  
Tumor Grade ◽  
Prognostic Indicator ◽  
Tumor Stage ◽  
Cancer Tissue ◽  
Cytoplasmic Staining ◽  
Tissue Sections

e14098 Background: Neuropilin 2 (NRP2) is a transmembrane glycoprotein, non-associated with kinase domains, implicated in neovascularization and metastasis of colon cancer. NRP2 has been proposed as a molecular marker for targeted cancer therapy based on its multiple functions in cancer promotion. NRP2 signaling pathway and its expression have been demonstrated in many carcinomas. To the best of our knowledge, no description of the immunohistochemical staining pattern of NRP2 in colon cancer has been published in the English medical literature. The aim of this study is to investigate the NRP2 labelilng pattern in colon cancer and correlate it with tumor stage. Methods: Tumor sections from 35 randomly selected colectomy specimens with colorectal cancer collected during the last three years were retrieved from the University of Toledo Medical Center Department of Pathology archival material. Formalin fixed, paraffin embedded, 4 μm tissue sections containing invasive tumor were immunolabeled with a commercial antibody against NRP2, using a Ventana Benchmark LT automated instrument. Randomized, immunolabeled colon cancer tissue sections were blindly reviewed by two pathologists. Cytoplasmic and nuclear expression of NRP2 by tumor cells was graded as negative (no staining), focal (staining in <50% of cells), and diffuse (staining in ≥ 50% of cells). Adjacent benign colonic mucosa was used as an internal control. Results: No T1 or T2 tumor displayed diffuse nuclear labeling for the NRP2 epitope. In contrast, 13/20 T3 tumors (65%) and 4/4 T4 tumors (100%) displayed diffuse nuclear labeling. The association of diffuse nuclear NRP2 labeling with tumor grade was highly statistically significant (p=0.0055 by Chi-squared test). In contrast to nuclear labeling, cytoplasmic staining was observed in all stages and varied from negative to diffuse, but demonstrated no significant correlation with stage. Conclusions: This pilot study on colon cancer specimens suggests that diffuse nuclear immunolabeling of neuropilin-2 is indicative of a higher tumor stage. This finding suggests a potential use for this marker as a prognostic indicator for colon cancer in small biopsy samples.

Free-radical processes in multifocal colon cancer tissue.

2014 ◽  
Vol 32 (15_suppl) ◽  
pp. e14636-e14636
Author(s):  
Michail L. Maleyko ◽  
Elena Frantsiyants ◽  
Yuri Gevorkyan ◽  
Ekaterina Komarova ◽  
Andrey Dashkov ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Free Radical ◽  
Cancer Tissue ◽  
Colon Cancer Tissue ◽  
Free Radical Processes ◽  
Radical Processes

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.

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