Novel biomarkers that assist in accurate discrimination of squamous cell carcinoma from adenocarcinoma of the lung.
Novel biomarkers that assist in accurate discrimination of squamous cell carcinoma from adenocarcinoma of the lung.
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DOI:
10.1186/s12885-016-2792-1
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发表时间:
2016-09-29
期刊:
影响因子:
3.8
通讯作者:
Kawaji H
中科院分区:
文献类型:
--
作者:
Takamochi K;Ohmiya H;Itoh M;Mogushi K;Saito T;Hara K;Mitani K;Kogo Y;Yamanaka Y;Kawai J;Hayashizaki Y;Oh S;Suzuki K;Kawaji H
Targeted therapies based on the molecular and histological features of cancer types are becoming standard practice. The most effective regimen in lung cancers is different between squamous cell carcinoma (SCC) and adenocarcinoma (AD). Therefore a precise diagnosis is crucial, but this has been difficult, particularly for poorly differentiated SCC (PDSCC) and AD without a lepidic growth component (non-lepidic AD). Biomarkers enabling a precise diagnosis are therefore urgently needed. Cap Analysis of Gene Expression (CAGE) is a method used to quantify promoter activities across the whole genome by determining the 5’ ends of capped RNA molecules with next-generation sequencing. We performed CAGE on 97 frozen tissues from surgically resected lung cancers (22 SCC and 75 AD), and confirmed the findings by immunohistochemical analysis (IHC) in an independent group (29 SCC and 45 AD). Using the genome-wide promoter activity profiles, we confirmed that the expression of known molecular markers used in IHC for SCC (CK5, CK6, p40 and desmoglein-3) and AD (TTF-1 and napsin A) were different between SCC and AD. We identified two novel marker candidates, SPATS2 for SCC and ST6GALNAC1 for AD, as showing comparable performance and complementary utility to the known markers in discriminating PDSCC and non-lepidic AD. We subsequently confirmed their utility at the protein level by IHC in an independent group. We identified two genes, SPATS2 and ST6GALNAC1, as novel complemental biomarkers discriminating SCC and AD. These findings will contribute to a more accurate diagnosis of NSCLC, which is crucial for precision medicine for lung cancer. The online version of this article (doi:10.1186/s12885-016-2792-1) contains supplementary material, which is available to authorized users.
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影响因子:
3.5
作者:
Dempster EL;Pidsley R;Schalkwyk LC;Owens S;Georgiades A;Kane F;Kalidindi S;Picchioni M;Kravariti E;Toulopoulou T;Murray RM;Mill J
通讯作者:
Mill J
影响因子:
4.5
作者:
Himes BE;Jiang X;Hu R;Wu AC;Lasky-Su JA;Klanderman BJ;Ziniti J;Senter-Sylvia J;Lima JJ;Irvin CG;Peters SP;Meyers DA;Bleecker ER;Kubo M;Tamari M;Nakamura Y;Szefler SJ;Lemanske RF Jr;Zeiger RS;Strunk RC;Martinez FD;Hanrahan JP;Koppelman GH;Postma DS;Nieuwenhuis MA;Vonk JM;Panettieri RA Jr;Markezich A;Israel E;Carey VJ;Tantisira KG;Litonjua AA;Lu Q;Weiss ST
通讯作者:
Weiss ST
DOI:
10.1007/978-1-4939-0805-9_7
发表时间:
2014-01-01
期刊:
TRANSCRIPTION FACTOR REGULATORY NETWORKS: METHODS AND PROTOCOLS
影响因子:
--
作者:
Murata, Mitsuyoshi;Nishiyori-Sueki, Hiromi;Itoh, Masayoshi
通讯作者:
Itoh, Masayoshi
影响因子:
12.3
作者:
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者:
Zhang J
影响因子:
5.6
作者:
Nonaka, Daisuke
通讯作者:
Nonaka, Daisuke