Abstract 2080: Tumor microsatellite instability detection method using paired tumor-normal sequence data

Author(s):  
Hongling Yuan ◽  
Danhua Wang ◽  
Honglin Zhu
2013 ◽  
Vol 30 (7) ◽  
pp. 1015-1016 ◽  
Author(s):  
Beifang Niu ◽  
Kai Ye ◽  
Qunyuan Zhang ◽  
Charles Lu ◽  
Mingchao Xie ◽  
...  

The accumulation of mutations across the genome, notably in microsatellite (MS) DNA repeat sequences, is a hallmark of MSI/dMMR tumors. Microsatellite instability (MSI) is a genetic change in which microsatellites, which typically have one to six nucleotide repetitions, acquire mutations corresponding to small nucleotide deletions or insertions. Immunohistochemistry or a PCR-based test directed against a set of five MS areas were used to create an MSI detection method. MSI is a significant biomarker for cancer diagnosis, prognosis, and treatment options.


2020 ◽  
Author(s):  
Beatrice Knudsen ◽  
Fangjin Huang ◽  
Hisashi Tanaka ◽  
Joanne Rutgers

Abstract Purpose: Tumors with mutations in the exonuclease domain of POLE are associated with ultrahigh mutation rates. POLE mutant tumors are best characterized in intestinal and uterine cancers and are associated with a prominent immune infiltrate and favorable prognosis. To determine whether mutations in other DNA polymerases cooperate with POLE mutations to generate the ultramutator phenotype, we analyzed exome sequence data from 15 cancer types with POLE mutations in The Cancer Genome Atlas (TCGA).Results: 36% of POLE mutant tumors, predominantly colorectal, stomach and endometrial cancers carried mutations in POLQ (E/Q) and/or POLZ/REV3L (E/Z). Mutation burden, microsatellite instability (MSI) status, tumor stage, disease free survival and immune scores were evaluated in these tumors. Compared to the POLE-only mutant tumors, tumors with E/Q, E/Z, and E/Q/Z mutations possessed significantly higher overall mutation frequencies (p < 0.001) and increased frequencies of mutations within the POLE exonuclease domain (p = 0.013). E/Q, E/Z, and E/Q/Z mutant colorectal, stomach and endometrial tumors within the TCGA cohort demonstrated 100% disease-free survival, even if mutations occurred outside the POLE exonuclease domain (p = 0.003). However, immune scores were related to microsatellite instability (MSI) and not POLE mutation status, suggesting that mechanisms in addition to host immune response may contribute to the prolonged disease-free survival.Conclusion: Our results demonstrate that POLE mutant tumors can be further substratified for outcomes prediction based on additional mutations in POLQ and ERV3L.


Author(s):  
K. Pegg-Feige ◽  
F. W. Doane

Immunoelectron microscopy (IEM) applied to rapid virus diagnosis offers a more sensitive detection method than direct electron microscopy (DEM), and can also be used to serotype viruses. One of several IEM techniques is that introduced by Derrick in 1972, in which antiviral antibody is attached to the support film of an EM specimen grid. Originally developed for plant viruses, it has recently been applied to several animal viruses, especially rotaviruses. We have investigated the use of this solid phase IEM technique (SPIEM) in detecting and identifying enteroviruses (in the form of crude cell culture isolates), and have compared it with a modified “SPIEM-SPA” method in which grids are coated with protein A from Staphylococcus aureus prior to exposure to antiserum.


2001 ◽  
Vol 120 (5) ◽  
pp. A295-A295
Author(s):  
D CHANG ◽  
A GOEL ◽  
L RICCIARDIELLO ◽  
C ARNOLD ◽  
C BOLAND

Author(s):  
Weihai Sun ◽  
Lemei Han

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.


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