Unknown

Dataset Information

0

Establishment of a Screening Method for Epstein-Barr Virus-Associated Gastric Carcinoma by Droplet Digital PCR.


ABSTRACT:

Background

Epstein-Barr virus-associated gastric carcinoma (EBVaGC) is classified as one of the molecular subtypes of gastric cancer. We used droplet digital polymerase chain reaction (ddPCR) to enable highly sensitive and quantitative detection of EBV.

Methods

EBV-DNA load was calculated based on the copy number of the BamH1-W fragment of EBV by ddPCR, and the cut-off value of EBV-DNA load was set. We conducted both ddPCR and EBER1 ISH to examine whether their results coincided in 158 gastric cancer specimens of unknown EBV status. We prepared 26 biopsy specimens and 49 serum samples including EBVaGC and assayed them by ddPCR.

Results

The median values of EBV-DNA load for EBVaGC and EBV-negative control were 17.0 and 0.00308, respectively. A cut-off value of 0.032 was determined for which the sensitivity was 1. Among the 158 gastric cancer specimens, 14 lesions were judged as EBV-positive by the 0.032 cut-off value determined by ddPCR. The results of ddPCR and EBER1 ISH were in complete agreement. Even when using a biopsy specimen as a sample for ddPCR, the EBV-DNA load of all EBVaGCs was larger than the cut-off value.

Conclusions

We established a new method of diagnosing EBVaGC from tissue samples by ddPCR.

SUBMITTER: Shuto T 

PROVIDER: S-EPMC6956032 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Background</h4>Epstein-Barr virus-associated gastric carcinoma (EBVaGC) is classified as one of the molecular subtypes of gastric cancer. We used droplet digital polymerase chain reaction (ddPCR) to enable highly sensitive and quantitative detection of EBV.<h4>Methods</h4>EBV-DNA load was calculated based on the copy number of the BamH1-W fragment of EBV by ddPCR, and the cut-off value of EBV-DNA load was set. We conducted both ddPCR and EBER1 ISH to examine whether their results coincided i  ...[more]

Similar Datasets

| S-EPMC6013872 | biostudies-other
| S-EPMC5503541 | biostudies-literature
2023-12-20 | MTBLS7649 | MetaboLights
| S-EPMC4297411 | biostudies-literature
| S-EPMC136266 | biostudies-literature
| S-EPMC3216291 | biostudies-literature
| S-EPMC3911632 | biostudies-literature
| S-EPMC8428228 | biostudies-literature
| S-EPMC4222945 | biostudies-literature
| S-EPMC6829863 | biostudies-literature