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Proteomic and genomic profiling of pancreatic cancer

Ansari, Daniel LU ; Torén, William LU ; Zhou, Qimin LU ; Hu, Dingyuan LU and Andersson, Roland LU (2019) In Cell Biology and Toxicology
Abstract

Pancreatic cancer remains the most fatal human tumor type. The aggressive tumor biology coupled with the lack of early detection strategies and effective treatment are major reasons for the poor survival rate. Collaborative research efforts have been devoted to understand pancreatic cancer at the molecular level. Large-scale genomic studies have generated important insights into the genetic drivers of pancreatic cancer. In the post-genomic era, protein sequencing of tumor tissue, cell lines, pancreatic juice, and blood from patients with pancreatic cancer has provided a fundament for the development of new diagnostic and prognostic biomarkers. The integration of mass spectrometry and genomic sequencing strategies may help characterize... (More)

Pancreatic cancer remains the most fatal human tumor type. The aggressive tumor biology coupled with the lack of early detection strategies and effective treatment are major reasons for the poor survival rate. Collaborative research efforts have been devoted to understand pancreatic cancer at the molecular level. Large-scale genomic studies have generated important insights into the genetic drivers of pancreatic cancer. In the post-genomic era, protein sequencing of tumor tissue, cell lines, pancreatic juice, and blood from patients with pancreatic cancer has provided a fundament for the development of new diagnostic and prognostic biomarkers. The integration of mass spectrometry and genomic sequencing strategies may help characterize protein identities and post-translational modifications that relate to a specific mutation. Consequently, proteomic and genomic techniques have become a compulsory requirement in modern medicine and health care. These types of proteogenomic studies may usher in a new era of precision diagnostics and treatment in patients with pancreatic cancer.

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author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Biomarkers, Genomics, Pancreatic cancer, Proteogenomics, Proteomics
in
Cell Biology and Toxicology
publisher
Springer
external identifiers
  • scopus:85061655088
ISSN
0742-2091
DOI
10.1007/s10565-019-09465-9
language
English
LU publication?
yes
id
b9e191a8-be1e-401a-8d35-2a6f43be727b
date added to LUP
2019-03-04 10:59:34
date last changed
2019-03-27 04:39:43
@article{b9e191a8-be1e-401a-8d35-2a6f43be727b,
  abstract     = {<p>Pancreatic cancer remains the most fatal human tumor type. The aggressive tumor biology coupled with the lack of early detection strategies and effective treatment are major reasons for the poor survival rate. Collaborative research efforts have been devoted to understand pancreatic cancer at the molecular level. Large-scale genomic studies have generated important insights into the genetic drivers of pancreatic cancer. In the post-genomic era, protein sequencing of tumor tissue, cell lines, pancreatic juice, and blood from patients with pancreatic cancer has provided a fundament for the development of new diagnostic and prognostic biomarkers. The integration of mass spectrometry and genomic sequencing strategies may help characterize protein identities and post-translational modifications that relate to a specific mutation. Consequently, proteomic and genomic techniques have become a compulsory requirement in modern medicine and health care. These types of proteogenomic studies may usher in a new era of precision diagnostics and treatment in patients with pancreatic cancer.</p>},
  author       = {Ansari, Daniel and Torén, William and Zhou, Qimin and Hu, Dingyuan and Andersson, Roland},
  issn         = {0742-2091},
  keyword      = {Biomarkers,Genomics,Pancreatic cancer,Proteogenomics,Proteomics},
  language     = {eng},
  month        = {02},
  publisher    = {Springer},
  series       = {Cell Biology and Toxicology},
  title        = {Proteomic and genomic profiling of pancreatic cancer},
  url          = {http://dx.doi.org/10.1007/s10565-019-09465-9},
  year         = {2019},
}