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Molecular biomarkers screened by next-generation RNA sequencing for non-sentinel lymph node status prediction in breast cancer patients with metastatic sentinel lymph nodes

Identifieur interne : 007796 ( Ncbi/Checkpoint ); précédent : 007795; suivant : 007797

Molecular biomarkers screened by next-generation RNA sequencing for non-sentinel lymph node status prediction in breast cancer patients with metastatic sentinel lymph nodes

Auteurs : Feng Liang [République populaire de Chine] ; Hongzhu Qu [République populaire de Chine] ; Qiang Lin [République populaire de Chine] ; Yadong Yang [République populaire de Chine] ; Xiuyan Ruan [République populaire de Chine] ; Bo Zhang [République populaire de Chine] ; Yi Liu [République populaire de Chine] ; Chengze Yu [République populaire de Chine] ; Hongyan Zhang [République populaire de Chine] ; Xiangdong Fang [République populaire de Chine] ; Xiaopeng Hao [République populaire de Chine]

Source :

RBID : PMC:4551378

Abstract

Background

Non-sentinel lymph node (NSLN) status prediction with molecular biomarkers may make some sentinel lymph node (SLN) positive breast cancer patients avoid the axillary lymph node dissection, but the available markers remain limited.

Methods

SLN positive patients with and without NSLN invasion were selected, and genes differentially expressed or fused in SLN metastasis were screened by next-generation RNA sequencing.

Results

Six candidates (all ER/PR+, HER2−, Ki-67 <20 %) with metastatic SLNs selected from 305 patients were equally categorized as NSLN negative and positive. We identified 103 specifically expressed genes in the NSLN negative group and 47 in the NSLN positive group. Among them, FABP1 (negative group) and CYP2A13 (positive group) were the only 2 protein-encoding genes with expression levels in the 8th to 10th deciles. Using a false discovery rate threshold of <0.05, 62 up-regulated genes and 98 down-regulated genes were discovered in the NSLN positive group. Furthermore, 10 gene fusions were identified in this group with the most frequently fused gene being IGLL5.

Conclusions

The biomarkers screened in present study may broaden our understanding of the mechanisms of breast cancer metastasis to the lymph nodes and contribute to the axillary surgery selection for SLN positive patients.

Electronic supplementary material

The online version of this article (doi:10.1186/s12957-015-0642-2) contains supplementary material, which is available to authorized users.


Url:
DOI: 10.1186/s12957-015-0642-2
PubMed: 26311227
PubMed Central: 4551378


Affiliations:


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PMC:4551378

Le document en format XML

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<name sortKey="Yu, Chengze" sort="Yu, Chengze" uniqKey="Yu C" first="Chengze" last="Yu">Chengze Yu</name>
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<name sortKey="Fang, Xiangdong" sort="Fang, Xiangdong" uniqKey="Fang X" first="Xiangdong" last="Fang">Xiangdong Fang</name>
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<name sortKey="Hao, Xiaopeng" sort="Hao, Xiaopeng" uniqKey="Hao X" first="Xiaopeng" last="Hao">Xiaopeng Hao</name>
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<sec>
<title>Background</title>
<p>Non-sentinel lymph node (NSLN) status prediction with molecular biomarkers may make some sentinel lymph node (SLN) positive breast cancer patients avoid the axillary lymph node dissection, but the available markers remain limited.</p>
</sec>
<sec>
<title>Methods</title>
<p>SLN positive patients with and without NSLN invasion were selected, and genes differentially expressed or fused in SLN metastasis were screened by next-generation RNA sequencing.</p>
</sec>
<sec>
<title>Results</title>
<p>Six candidates (all ER/PR+, HER2−, Ki-67 <20 %) with metastatic SLNs selected from 305 patients were equally categorized as NSLN negative and positive. We identified 103 specifically expressed genes in the NSLN negative group and 47 in the NSLN positive group. Among them,
<italic>FABP1</italic>
(negative group) and
<italic>CYP2A13</italic>
(positive group) were the only 2 protein-encoding genes with expression levels in the 8th to 10th deciles. Using a false discovery rate threshold of <0.05, 62 up-regulated genes and 98 down-regulated genes were discovered in the NSLN positive group. Furthermore, 10 gene fusions were identified in this group with the most frequently fused gene being
<italic>IGLL5</italic>
.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The biomarkers screened in present study may broaden our understanding of the mechanisms of breast cancer metastasis to the lymph nodes and contribute to the axillary surgery selection for SLN positive patients.</p>
</sec>
<sec>
<title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/s12957-015-0642-2) contains supplementary material, which is available to authorized users.</p>
</sec>
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<analytic>
<author>
<name sortKey="Robak, T" uniqKey="Robak T">T Robak</name>
</author>
<author>
<name sortKey="Robak, P" uniqKey="Robak P">P Robak</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Thumser, Ae" uniqKey="Thumser A">AE Thumser</name>
</author>
<author>
<name sortKey="Moore, Jb" uniqKey="Moore J">JB Moore</name>
</author>
<author>
<name sortKey="Plant, Nj" uniqKey="Plant N">NJ Plant</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sun, L" uniqKey="Sun L">L Sun</name>
</author>
<author>
<name sortKey="Fan, X" uniqKey="Fan X">X Fan</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
</listBibl>
</div1>
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</TEI>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
<settlement>
<li>Pékin</li>
</settlement>
</list>
<tree>
<country name="République populaire de Chine">
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<name sortKey="Liang, Feng" sort="Liang, Feng" uniqKey="Liang F" first="Feng" last="Liang">Feng Liang</name>
</noRegion>
<name sortKey="Fang, Xiangdong" sort="Fang, Xiangdong" uniqKey="Fang X" first="Xiangdong" last="Fang">Xiangdong Fang</name>
<name sortKey="Hao, Xiaopeng" sort="Hao, Xiaopeng" uniqKey="Hao X" first="Xiaopeng" last="Hao">Xiaopeng Hao</name>
<name sortKey="Lin, Qiang" sort="Lin, Qiang" uniqKey="Lin Q" first="Qiang" last="Lin">Qiang Lin</name>
<name sortKey="Liu, Yi" sort="Liu, Yi" uniqKey="Liu Y" first="Yi" last="Liu">Yi Liu</name>
<name sortKey="Qu, Hongzhu" sort="Qu, Hongzhu" uniqKey="Qu H" first="Hongzhu" last="Qu">Hongzhu Qu</name>
<name sortKey="Ruan, Xiuyan" sort="Ruan, Xiuyan" uniqKey="Ruan X" first="Xiuyan" last="Ruan">Xiuyan Ruan</name>
<name sortKey="Yang, Yadong" sort="Yang, Yadong" uniqKey="Yang Y" first="Yadong" last="Yang">Yadong Yang</name>
<name sortKey="Yu, Chengze" sort="Yu, Chengze" uniqKey="Yu C" first="Chengze" last="Yu">Chengze Yu</name>
<name sortKey="Zhang, Bo" sort="Zhang, Bo" uniqKey="Zhang B" first="Bo" last="Zhang">Bo Zhang</name>
<name sortKey="Zhang, Hongyan" sort="Zhang, Hongyan" uniqKey="Zhang H" first="Hongyan" last="Zhang">Hongyan Zhang</name>
</country>
</tree>
</affiliations>
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