Impact of deep sequencing on hepatocellular carcinoma utilizing high-throughput technology
In the medical sciences, bioinformatics typically include compiling expression data for cells affected by various diseases, like cancer. Hepatocellular carcinoma (HCC) is a tumor of the liver, which is generally emerging in the setting of chronic liver diseases. Clinical behavior of hepatocellular c...
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Published in | Network modeling and analysis in health informatics and bioinformatics (Wien) Vol. 9; no. 1; p. 35 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Vienna
Springer Vienna
01.12.2020
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | In the medical sciences, bioinformatics typically include compiling expression data for cells affected by various diseases, like cancer. Hepatocellular carcinoma (HCC) is a tumor of the liver, which is generally emerging in the setting of chronic liver diseases. Clinical behavior of hepatocellular carcinoma is difficult to estimate. Therefore, there is a critical demand to obtain new techniques that can assess the prognosis of hepatic cancer patients. Methods: this work produces a genomic study that spotlights on applying bioinformatics technologies to predict and deal with the molecular reasons for hepatocellular carcinoma by the examination whole-genome sequence of the chromosomal variations of the genomic copy number to grand correct diagnoses of this kind of disease. In this study, next-generation sequence (NGS) is utilized by applying OncoSNP-SEQ technique to a number of human chromosomes for analyzing hepatic cancer data that identify genome-wide mutations in copy number of the genomic information data. The outcomes referred to a certain number of chromosome aberrations detected with significant genes such as
: SHC, TCP1, CCT3
,
SHC1, EPHA5, UGT2B28, UBE1L2,
and also strike (
CREB3L4, RAB1, MAGI2
) genes which are discovered lately in 2013
,
tumor suppressors
SHC1
and
CKS1B, LRP1B
, as well as oncogene
UBE1L2
, all of which may play a central role in cancer cell survival during the progress of metastases. Recently, the development of next-generation sequence empowers simultaneous assessment of copy number of hundred thousands of locales in a genome, more precise estimation of copy numbers, higher coverage, accurate confirmation of change points, and higher tendency to distinguish new alteration regions. |
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ISSN: | 2192-6662 2192-6670 |
DOI: | 10.1007/s13721-020-00242-x |