scholarly journals Metabolic Profiling of Formalin-Fixed Paraffin-Embedded Tissues Discriminates Normal Colon from Colorectal Cancer

2020 ◽  
Vol 18 (6) ◽  
pp. 883-890 ◽  
Author(s):  
Kota Arima ◽  
Mai Chan Lau ◽  
Melissa Zhao ◽  
Koichiro Haruki ◽  
Keisuke Kosumi ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Metabolic Profiling ◽  
Normal Colon ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Formalin Fixed

scholarly journals Multi-center real-world comparison of the fully automated Idylla™ microsatellite instability assay with routine molecular methods and immunohistochemistry on formalin-fixed paraffin-embedded tissue of colorectal cancer

2020 ◽  
Author(s):  
Ana Velasco ◽  
Fatma Tokat ◽  
Jesper Bonde ◽  
Nicola Trim ◽  
Elisabeth Bauer ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Microsatellite Instability ◽  
Real World ◽  
Diagnostic Testing ◽  
Molecular Methods ◽  
Tissue Sections ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
High Concordance ◽  
Formalin Fixed

Abstract Microsatellite instability (MSI) is present in 15–20% of primary colorectal cancers. MSI status is assessed to detect Lynch syndrome, guide adjuvant chemotherapy, determine prognosis, and use as a companion test for checkpoint blockade inhibitors. Traditionally, MSI status is determined by immunohistochemistry or molecular methods. The Idylla™ MSI Assay is a fully automated molecular method (including automated result interpretation), using seven novel MSI biomarkers (ACVR2A, BTBD7, DIDO1, MRE11, RYR3, SEC31A, SULF2) and not requiring matched normal tissue. In this real-world global study, 44 clinical centers performed Idylla™ testing on a total of 1301 archived colorectal cancer formalin-fixed, paraffin-embedded (FFPE) tissue sections and compared Idylla™ results against available results from routine diagnostic testing in those sites. MSI mutations detected with the Idylla™ MSI Assay were equally distributed over the seven biomarkers, and 84.48% of the MSI-high samples had ≥ 5 mutated biomarkers, while 98.25% of the microsatellite-stable samples had zero mutated biomarkers. The concordance level between the Idylla™ MSI Assay and immunohistochemistry was 96.39% (988/1025); 17/37 discordant samples were found to be concordant when a third method was used. Compared with routine molecular methods, the concordance level was 98.01% (789/805); third-method analysis found concordance for 8/16 discordant samples. The failure rate of the Idylla™ MSI Assay (0.23%; 3/1301) was lower than that of referenced immunohistochemistry (4.37%; 47/1075) or molecular assays (0.86%; 7/812). In conclusion, lower failure rates and high concordance levels were found between the Idylla™ MSI Assay and routine tests.

scholarly journals Pks+ Escherichia Coli More Prevalent in Benign than Malignant Colorectal Tumors

2021 ◽  
Author(s):  
Carmina Villariba Tolentino ◽  
Ana Maria Cariño ◽  
Kin Israel Notarte ◽  
Imee Macaranas ◽  
Allan Fellizar ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Escherichia Coli ◽  
Malignant Tumors ◽  
Colorectal Tumors ◽  
Tissue Samples ◽  
E Coli ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Formalin Fixed

Abstract Background: Some E. coli strains that synthesize the toxin colibactin within the 54-kb pks island are being implicated in colorectal cancer (CRC) development. Here, the prevalence of pks+ E. coli in malignant and benign colorectal tumors obtained from selected Filipino patients was compared to determine the association of pks+ E. coli with CRC in this population. Methods and Results: A realtime qPCR protocol was developed to quantify uidA, clbB, clbN, and clbA genes in formalin fixed paraffin embedded colorectal tissues. The number of malignant tumors (44/62; 71%) positive for the uidA gene was not significantly different (p=0.3428) from benign (38/62; 61%) tumors. Significantly higher number of benign samples (p<0.05) were positive for all three colibactin genes (clbB, clbN, and clbA) compared with malignant samples. There was also higher prevalence of pks+ E. coli among older females and in tissue samples taken from the rectum. Conclusion: Hence, pks+ E. coli may not be associated with CRC development among Filipinos.

scholarly journals Accuracy and Clinical Relevance of Intra-Tumoral Fusobacterium nucleatum Detection in Formalin-Fixed Paraffin-Embedded (FFPE) Tissue by Droplet Digital PCR (ddPCR) in Colorectal Cancer

Diagnostics ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 114
Author(s):  
José Guilherme Datorre ◽  
Ana Carolina de Carvalho ◽  
Mariana Bisarro dos Reis ◽  
Monise dos Reis ◽  
Marcus Matsushita ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Clinical Relevance ◽  
Fusobacterium Nucleatum ◽  
Digital Pcr ◽  
Droplet Digital Pcr ◽  
Detection Accuracy ◽  
Assay Optimization ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Formalin Fixed

The use of droplet digital PCR (ddPCR) to identify and quantify low-abundance targets is a significant advantage for accurately detecting potentially oncogenic bacteria. Fusobacterium nucleatum (Fn) is implicated in colorectal cancer (CRC) tumorigenesis and is becoming an important prognostic biomarker. We evaluated the detection accuracy and clinical relevance of Fn DNA by ddPCR in a molecularly characterized, formalin-fixed, paraffin-embedded (FFPE) CRC cohort previously analyzed by qPCR for Fn levels. Following a ddPCR assay optimization and an analytical evaluation, Fn DNA were measured in 139 CRC FFPE cases. The measures of accuracy for Fn status compared to the prior results generated by qPCR and the association with clinicopathological and molecular patients’ features were also evaluated. The ddPCR-based Fn assay was sensitive and specific to positive controls. Fn DNA were detected in 20.1% of cases and further classified as Fn-high and Fn-low/negative, according to the median amount of Fn DNA that were detected in all cases and associated with the patient’s worst prognosis. There was a low agreement between the Fn status determined by ddPCR and qPCR (Cohen’s Kappa = 0.210). Our findings show that ddPCR can detect and quantify Fn in FFPE tumor tissues and highlights its clinical relevance in Fn detection in a routine CRC setting.

Sign in / Sign up

Export Citation Format

Share Document