schliessen

Filtern

 

Bibliotheken

PIK3CA and TP53 gene mutations in human breast cancer tumors frequently detected by ion torrent DNA sequencing

Breast cancer is the most common malignancy and the leading cause of cancer deaths in women worldwide. While specific genetic mutations have been linked to 5-10% of breast cancer cases, other environmental and epigenetic factors influence the development and progression of the cancer. Since unique m... Full description

Journal Title: PLoS ONE 01 January 2014, Vol.9(6), p.e99306
Main Author: Xusheng Bai
Other Authors: Enke Zhang , Hua Ye , Vijayalakshmi Nandakumar , Zhuo Wang , Lihong Chen , Chuanning Tang , Jianhui Li , Huijin Li , Wei Zhang , Wei Han , Feng Lou , Dandan Zhang , Hong Sun , Haichao Dong , Guangchun Zhang , Zhiyuan Liu , Zhishou Dong , Baishuai Guo , He Yan , Chaowei Yan , Lu Wang , Ziyi Su , Yangyang Li , Lindsey Jones , Xue F Huang , Si-Yi Chen , Jinglong Gao
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0099306
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: doaj_soai_doaj_org_article_72625fabe1af469da064d7fe7688e07a
title: PIK3CA and TP53 gene mutations in human breast cancer tumors frequently detected by ion torrent DNA sequencing
format: Article
creator:
  • Xusheng Bai
  • Enke Zhang
  • Hua Ye
  • Vijayalakshmi Nandakumar
  • Zhuo Wang
  • Lihong Chen
  • Chuanning Tang
  • Jianhui Li
  • Huijin Li
  • Wei Zhang
  • Wei Han
  • Feng Lou
  • Dandan Zhang
  • Hong Sun
  • Haichao Dong
  • Guangchun Zhang
  • Zhiyuan Liu
  • Zhishou Dong
  • Baishuai Guo
  • He Yan
  • Chaowei Yan
  • Lu Wang
  • Ziyi Su
  • Yangyang Li
  • Lindsey Jones
  • Xue F Huang
  • Si-Yi Chen
  • Jinglong Gao
subjects:
  • Sciences (General)
ispartof: PLoS ONE, 01 January 2014, Vol.9(6), p.e99306
description: Breast cancer is the most common malignancy and the leading cause of cancer deaths in women worldwide. While specific genetic mutations have been linked to 5-10% of breast cancer cases, other environmental and epigenetic factors influence the development and progression of the cancer. Since unique mutations patterns have been observed in individual cancer samples, identification and characterization of the distinctive breast cancer molecular profile is needed to develop more effective target therapies. Until recently, identifying genetic cancer mutations via personalized DNA sequencing was impractical and expensive. The recent technological advancements in next-generation DNA sequencing, such as the semiconductor-based Ion Torrent sequencing platform, has made DNA sequencing cost and time effective with more reliable results. Using the Ion Torrent Ampliseq Cancer Panel, we sequenced 737 loci from 45 cancer-related genes to identify genetic mutations in 105 human breast cancer samples. The sequencing analysis revealed missense mutations in PIK3CA, and TP53 genes in the breast cancer samples of various histologic types. Thus, this study demonstrates the necessity of sequencing individual human cancers in order to develop personalized drugs or combination therapies to effectively target individual, breast cancer-specific mutations.
language: eng
source:
identifier: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0099306
fulltext: fulltext_linktorsrc
issn:
  • 1932-6203
  • 19326203
url: Link


@attributes
ID587697499
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordidoai_doaj_org_article_72625fabe1af469da064d7fe7688e07a
sourceiddoaj_s
recordidTN_doaj_soai_doaj_org_article_72625fabe1af469da064d7fe7688e07a
sourcesystemOther
dbidDOA
pqid1535002901
galeid418635287
display
typearticle
titlePIK3CA and TP53 gene mutations in human breast cancer tumors frequently detected by ion torrent DNA sequencing
creatorXusheng Bai ; Enke Zhang ; Hua Ye ; Vijayalakshmi Nandakumar ; Zhuo Wang ; Lihong Chen ; Chuanning Tang ; Jianhui Li ; Huijin Li ; Wei Zhang ; Wei Han ; Feng Lou ; Dandan Zhang ; Hong Sun ; Haichao Dong ; Guangchun Zhang ; Zhiyuan Liu ; Zhishou Dong ; Baishuai Guo ; He Yan ; Chaowei Yan ; Lu Wang ; Ziyi Su ; Yangyang Li ; Lindsey Jones ; Xue F Huang ; Si-Yi Chen ; Jinglong Gao
ispartofPLoS ONE, 01 January 2014, Vol.9(6), p.e99306
identifierE-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0099306
subjectSciences (General)
descriptionBreast cancer is the most common malignancy and the leading cause of cancer deaths in women worldwide. While specific genetic mutations have been linked to 5-10% of breast cancer cases, other environmental and epigenetic factors influence the development and progression of the cancer. Since unique mutations patterns have been observed in individual cancer samples, identification and characterization of the distinctive breast cancer molecular profile is needed to develop more effective target therapies. Until recently, identifying genetic cancer mutations via personalized DNA sequencing was impractical and expensive. The recent technological advancements in next-generation DNA sequencing, such as the semiconductor-based Ion Torrent sequencing platform, has made DNA sequencing cost and time effective with more reliable results. Using the Ion Torrent Ampliseq Cancer Panel, we sequenced 737 loci from 45 cancer-related genes to identify genetic mutations in 105 human breast cancer samples. The sequencing analysis revealed missense mutations in PIK3CA, and TP53 genes in the breast cancer samples of various histologic types. Thus, this study demonstrates the necessity of sequencing individual human cancers in order to develop personalized drugs or combination therapies to effectively target individual, breast cancer-specific mutations.
languageeng
oafree_for_read
source
version7
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
linktorsrc$$Uhttps://doaj.org/article/72625fabe1af469da064d7fe7688e07a$$EView_full_text_in_DOAJ
search
creatorcontrib
0Xusheng Bai
1Enke Zhang
2Hua Ye
3Vijayalakshmi Nandakumar
4Zhuo Wang
5Lihong Chen
6Chuanning Tang
7Jianhui Li
8Huijin Li
9Wei Zhang
10Wei Han
11Feng Lou
12Dandan Zhang
13Hong Sun
14Haichao Dong
15Guangchun Zhang
16Zhiyuan Liu
17Zhishou Dong
18Baishuai Guo
19He Yan
20Chaowei Yan
21Lu Wang
22Ziyi Su
23Yangyang Li
24Lindsey Jones
25Xue F Huang
26Si-Yi Chen
27Jinglong Gao
titlePIK3CA and TP53 gene mutations in human breast cancer tumors frequently detected by ion torrent DNA sequencing
description

Breast cancer is the most common malignancy and the leading cause of cancer deaths in women worldwide. While specific genetic mutations have been linked to 5-10% of breast cancer cases, other environmental and epigenetic factors influence the development and progression of the cancer. Since unique mutations patterns have been observed in individual cancer samples, identification and characterization of the distinctive breast cancer molecular profile is needed to develop more effective target therapies. Until recently, identifying genetic cancer mutations via personalized DNA sequencing was impractical and expensive. The recent technological advancements in next-generation DNA sequencing, such as the semiconductor-based Ion Torrent sequencing platform, has made DNA sequencing cost and time effective with more reliable results. Using the Ion Torrent Ampliseq Cancer Panel, we sequenced 737 loci from 45 cancer-related genes to identify genetic mutations in 105 human breast cancer samples. The sequencing analysis revealed missense mutations in PIK3CA, and TP53 genes in the breast cancer samples of various histologic types. Thus, this study demonstrates the necessity of sequencing individual human cancers in order to develop personalized drugs or combination therapies to effectively target individual, breast cancer-specific mutations.

subjectSciences (General)
general
0English
1Public Library of Science (PLoS)
210.1371/journal.pone.0099306
3Directory of Open Access Journals (DOAJ)
sourceiddoaj_s
recordiddoaj_soai_doaj_org_article_72625fabe1af469da064d7fe7688e07a
issn
01932-6203
119326203
rsrctypearticle
creationdate2014
addtitlePLoS ONE
searchscope
0doaj_full
1doaj1
scope
0doaj_full
1doaj1
lsr45$$EView_full_text_in_DOAJ
tmp01Directory of Open Access Journals (DOAJ)
tmp02DOA
startdate20140101
enddate20140101
lsr40PLoS ONE, 01 January 2014, Vol.9 (6), p.e99306
doi10.1371/journal.pone.0099306
citationpf e99306 vol 9 issue 6
lsr30VSR-Enriched:[pages, galeid, pqid]
sort
titlePIK3CA and TP53 gene mutations in human breast cancer tumors frequently detected by ion torrent DNA sequencing
authorXusheng Bai ; Enke Zhang ; Hua Ye ; Vijayalakshmi Nandakumar ; Zhuo Wang ; Lihong Chen ; Chuanning Tang ; Jianhui Li ; Huijin Li ; Wei Zhang ; Wei Han ; Feng Lou ; Dandan Zhang ; Hong Sun ; Haichao Dong ; Guangchun Zhang ; Zhiyuan Liu ; Zhishou Dong ; Baishuai Guo ; He Yan ; Chaowei Yan ; Lu Wang ; Ziyi Su ; Yangyang Li ; Lindsey Jones ; Xue F Huang ; Si-Yi Chen ; Jinglong Gao
creationdate20140101
lso0120140101
facets
frbrgroupid8852696762132941123
frbrtype5
newrecords20190714
languageeng
topicSciences (General)
collectionDirectory of Open Access Journals (DOAJ)
prefilterarticles
rsrctypearticles
creatorcontrib
0Xusheng Bai
1Enke Zhang
2Hua Ye
3Vijayalakshmi Nandakumar
4Zhuo Wang
5Lihong Chen
6Chuanning Tang
7Jianhui Li
8Huijin Li
9Wei Zhang
10Wei Han
11Feng Lou
12Dandan Zhang
13Hong Sun
14Haichao Dong
15Guangchun Zhang
16Zhiyuan Liu
17Zhishou Dong
18Baishuai Guo
19He Yan
20Chaowei Yan
21Lu Wang
22Ziyi Su
23Yangyang Li
24Lindsey Jones
25Xue F Huang
26Si-Yi Chen
27Jinglong Gao
jtitlePLoS ONE
creationdate2014
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext_linktorsrc
addata
au
0Xusheng Bai
1Enke Zhang
2Hua Ye
3Vijayalakshmi Nandakumar
4Zhuo Wang
5Lihong Chen
6Chuanning Tang
7Jianhui Li
8Huijin Li
9Wei Zhang
10Wei Han
11Feng Lou
12Dandan Zhang
13Hong Sun
14Haichao Dong
15Guangchun Zhang
16Zhiyuan Liu
17Zhishou Dong
18Baishuai Guo
19He Yan
20Chaowei Yan
21Lu Wang
22Ziyi Su
23Yangyang Li
24Lindsey Jones
25Xue F Huang
26Si-Yi Chen
27Jinglong Gao
atitlePIK3CA and TP53 gene mutations in human breast cancer tumors frequently detected by ion torrent DNA sequencing
jtitlePLoS ONE
risdate20140101
volume9
issue6
spagee99306
eissn1932-6203
formatjournal
genrearticle
ristypeJOUR
abstract

Breast cancer is the most common malignancy and the leading cause of cancer deaths in women worldwide. While specific genetic mutations have been linked to 5-10% of breast cancer cases, other environmental and epigenetic factors influence the development and progression of the cancer. Since unique mutations patterns have been observed in individual cancer samples, identification and characterization of the distinctive breast cancer molecular profile is needed to develop more effective target therapies. Until recently, identifying genetic cancer mutations via personalized DNA sequencing was impractical and expensive. The recent technological advancements in next-generation DNA sequencing, such as the semiconductor-based Ion Torrent sequencing platform, has made DNA sequencing cost and time effective with more reliable results. Using the Ion Torrent Ampliseq Cancer Panel, we sequenced 737 loci from 45 cancer-related genes to identify genetic mutations in 105 human breast cancer samples. The sequencing analysis revealed missense mutations in PIK3CA, and TP53 genes in the breast cancer samples of various histologic types. Thus, this study demonstrates the necessity of sequencing individual human cancers in order to develop personalized drugs or combination therapies to effectively target individual, breast cancer-specific mutations.

pubPublic Library of Science (PLoS)
doi10.1371/journal.pone.0099306
urlhttps://doaj.org/article/72625fabe1af469da064d7fe7688e07a
lad01PLoS ONE
oafree_for_read
pagese99306
date2014-01-01