Abstract 269: Small non-coding RNA profiling in stool and plasma samples to explore potential biomarkers for colorectal cancer diagnosis

2020 ◽  
Author(s):  
Antonio Francavilla ◽  
Sonia Tarallo ◽  
Giulio Ferrero ◽  
Francesca Cordero ◽  
Gaetano Gallo ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Diagnosis ◽  
Plasma Samples ◽  
Rna Profiling ◽  
Non Coding Rna ◽  
Potential Biomarkers

scholarly journals Analysis of cancer-related mutations in extracellular vesicles RNA by Droplet Digital™ PCR

BioTechniques ◽  
2020 ◽  
Vol 69 (2) ◽  
pp. 99-107
Author(s):  
Soo Ann Yap ◽  
Agnieszka Münster-Wandowski ◽  
Anika Nonnenmacher ◽  
Ulrich Keilholz ◽  
Sandra Liebs
Keyword(s):  
Colorectal Cancer ◽  
Tumor Progression ◽  
Extracellular Vesicles ◽  
Liquid Biopsy ◽  
Mek Inhibitor ◽  
Diagnostic Information ◽  
Braf V600e ◽  
Plasma Samples ◽  
Differential Centrifugation ◽  
Potential Biomarkers

Extracellular vesicles (EVs) are taking their place as potential biomarkers in the field of liquid biopsy. In this study, EVs were isolated from plasma samples of 31 patients with colorectal cancer and melanoma via differential centrifugation and Droplet Digital™ PCR (Bio-Rad, CA, USA) was used to profile BRAF V600E/K, KRAS G12A/C/D/V and KRAS G13D mutations from EV-derived cDNA. The concordance rates with corresponding tissue were 54% and 44% in the colorectal cancer and melanoma cohort, respectively. Two patients displayed mutations in EVs not previously detected in tissue as evidence for emerging molecular resistance to anti-EGFR and BRAF/MEK inhibitor therapy prior to radiological evidence of tumor progression. We concluded that EV-derived nucleic acids may provide clinically relevant diagnostic information and mirror evolution of the disease.

Abstract B08: Potential biomarkers for colorectal cancer diagnosis and prognosis

2017 ◽  
Author(s):  
Hicham Mansour ◽  
Noureddine Bouarourou ◽  
Jean Pierre Roperch ◽  
Fouazi Habib ◽  
Mourad Said
Keyword(s):  
Colorectal Cancer ◽  
Cancer Diagnosis ◽  
Diagnosis And Prognosis ◽  
Cancer Diagnosis And Prognosis ◽  
Potential Biomarkers

Distinct trajectories of positive and negative affect after colorectal cancer diagnosis.

2017 ◽  
Vol 36 (6) ◽  
pp. 521-528 ◽  
Author(s):  
Yvette Ciere ◽  
Moniek Janse ◽  
Josué Almansa ◽  
Annemieke Visser ◽  
Robbert Sanderman ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Negative Affect ◽  
Cancer Diagnosis ◽  
Positive And Negative Affect

Epigenetic Modifiers and Their Potential Application in Colorectal Cancer Diagnosis and Therapy

2020 ◽  
Vol 25 (2) ◽  
pp. 95-109
Author(s):  
Sapnita Shinde ◽  
Saurabh Saxena ◽  
Vineeta Dixit ◽  
Atul K. Tiwari ◽  
Naveen K. Vishvakarma ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Diagnosis ◽  
Potential Application ◽  
Diagnosis And Therapy ◽  
Epigenetic Modifiers ◽  
Cancer Diagnosis And Therapy

Plasma Biomarkers for Colorectal Cancer Diagnosis Based on Metabolomics

2018 ◽  
Author(s):  
Maoqing Wang ◽  
Zhiping Long ◽  
Jingshen Tian ◽  
Songjie Chen ◽  
Hongru Sun ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Diagnosis ◽  
Plasma Biomarkers

Label-Free Mass Spectrometry-Based Plasma Proteomics Identified LY6D, DSC3, CDSN, SERPINB12, and SLURP1,as Novel Protein Biomarkers For Pulmonary Tuberculosis

2019 ◽  
Vol 17 ◽  
Author(s):  
Xiaoli Yu ◽  
Lu Zhang ◽  
Na Li ◽  
Peng Hu ◽  
Zhaoqin Zhu ◽  
...  
Keyword(s):  
Pulmonary Tuberculosis ◽  
Search Algorithm ◽  
Differentially Expressed ◽  
P Value ◽  
Plasma Samples ◽  
Label Free ◽  
Protein Biomarkers ◽  
Protein Database ◽  
Leave One Out ◽  
Potential Biomarkers

Aim: We aimed to identify new plasma biomarkers for the diagnosis of Pulmonary tuberculosis. Background: Tuberculosis is an ancient infectious disease that remains one of the major global health problems. Until now, effective, convenient, and affordable methods for diagnosis of Pulmonary tuberculosis were still lacked. Objective: This study focused on construct a label-free LC-MS/MS based comparative proteomics between six tuberculosis patients and six healthy controls to identify differentially expressed proteins (DEPs) in plasma. Method: To reduce the influences of high-abundant proteins, albumin and globulin were removed from plasma samples using affinity gels. Then DEPs from the plasma samples were identified using a label-free Quadrupole-Orbitrap LC-MS/MS system. The results were analyzed by the protein database search algorithm SEQUEST-HT to identify mass spectra to peptides. The predictive abilities of combinations of host markers were investigated by general discriminant analysis (GDA), with leave-one-out cross-validation. Results: A total of 572 proteins were identified and 549 proteins were quantified. The threshold for differentially expressed protein was set as adjusted p-value < 0.05 and fold change ≥1.5 or ≤0.6667, 32 DEPs were found. ClusterVis, TBtools, and STRING were used to find new potential biomarkers of PTB. Six proteins, LY6D, DSC3, CDSN, FABP5, SERPINB12, and SLURP1, which performed well in the LOOCV method validation, were termed as potential biomarkers. The percentage of cross-validated grouped cases correctly classified and original grouped cases correctly classified is greater than or equal to 91.7%. Conclusion: We successfully identified five candidate biomarkers for immunodiagnosis of PTB in plasma, LY6D, DSC3, CDSN, SERPINB12, and SLURP1. Our work supported this group of proteins as potential biomarkers for pulmonary tuberculosis, and be worthy of further validation.

scholarly journals Su1228 Increased Risk of Colorectal Cancer in Patients With Prior Ovarian Cancer Diagnosis: A Population Based US Study

2014 ◽  
Vol 146 (5) ◽  
pp. S-408
Author(s):  
Yezaz A. Ghouri ◽  
Sachin Batra ◽  
Nirav C. Thosani ◽  
Sushovan Guha
Keyword(s):  
Colorectal Cancer ◽  
Ovarian Cancer ◽  
Cancer Diagnosis ◽  
Population Based ◽  
Increased Risk
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