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Phosphoinositide specific phospholipase Cγ1 inhibition-driven autophagy caused cell death in human lung adenocarcinoma A549 cells in vivo and in vitro

Identifieur interne : 000072 ( Pmc/Checkpoint ); précédent : 000071; suivant : 000073

Phosphoinositide specific phospholipase Cγ1 inhibition-driven autophagy caused cell death in human lung adenocarcinoma A549 cells in vivo and in vitro

Auteurs : Xiaohong Lu [République populaire de Chine] ; Haijing Fu [République populaire de Chine] ; Rui Chen [République populaire de Chine] ; Yue Wang [République populaire de Chine] ; Yanyan Zhan [République populaire de Chine] ; Gang Song [République populaire de Chine] ; Tianhui Hu [République populaire de Chine] ; Chun Xia [République populaire de Chine] ; Xuemei Tian [République populaire de Chine] ; Bing Zhang [République populaire de Chine]

Source :

RBID : PMC:7085223

Abstract

Our previous studies indicated that phosphoinositide specific phospholipase Cγ1 (PLCγ1) was involved in autophagy induction in colon and hepatic carcinoma cells. However, whether and how PLCγ1 regulation in human lung adenocarcinoma is linked to autophagy remains unclear. Here, we assessed the protein expression of PLCγ1 in human lung adenocarcinoma tissue using immunohistochemistry assay and the relationship between PLCG1 and autophagy in The Cancer Genome Atlas Network (TCGA) using Spearman correlation analysis and GSEA software. Furthermore, the interaction between PLCγ1 and autophagy-related signal molecules was investigated in human lung adenocarcinoma A549 cells treated with different inhibitors or transduction with lentivirus-mediated PLCγ1 gene short-hairpin RNA (shRNA) vectors using MTT, clonogenicity, Transwell migration, RT-PCR, Caspase-3, mitochondrial transmembrane potential, and western blotting assays, as well as transmission electron microscope technique. Additionally, the effect of shRNA/PLCγ1 alone or combined with autophagic activator Lithium Chloride (LiCl) on tumor growth and metastasis was measured using immunohistochemistry and assays in A549 xenograft nude mouse model. The results showed that increased PLCγ1 expression occurred frequently in human lung adenocarcinoma tissue with higher grades of T in TNM staging classification. PLCγ1 significantly enriched in autophagic process and regulation, which negatively regulating autophagy was enriched in higher expression of PLCγ1. PLCγ1 inhibition partially reduced cell proliferation and migration of A549 cells, with an increased autophagic flux involving alterations of AMPKα, mTOR, and ERK levels. However, PLCγ1 inhibition-driven autophagy led to cell death without depending on Caspase-3 and RIP1. Additionally, the abrogation of PLCγ1 signaling by shRNA and combination with autophagic activator LiCl could efficaciously suppress tumor growth and metastasis in A549 xenograft nude mice, in combination with a decrease in P62 level. These findings collectively suggest that reduction of cell proliferation and migration by PLCγ1 inhibition could be partially attributed to PLCγ1 inhibition-driven autophagic cell death (ACD). It highlights the potential role of a combination between targeting PLCγ1 and autophagy pathway in anti-tumor therapy, which may be an efficacious new strategy to overcome the autophagy addition of tumor and acquired resistance to current therapy.


Url:
DOI: 10.7150/ijbs.42962
PubMed: NONE
PubMed Central: 7085223


Affiliations:


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PMC:7085223

Le document en format XML

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<p>Our previous studies indicated that phosphoinositide specific phospholipase Cγ1 (PLCγ1) was involved in autophagy induction in colon and hepatic carcinoma cells. However, whether and how PLCγ1 regulation in human lung adenocarcinoma is linked to autophagy remains unclear. Here, we assessed the protein expression of PLCγ1 in human lung adenocarcinoma tissue using immunohistochemistry assay and the relationship between PLCG1 and autophagy in The Cancer Genome Atlas Network (TCGA) using Spearman correlation analysis and GSEA software. Furthermore, the interaction between PLCγ1 and autophagy-related signal molecules was investigated in human lung adenocarcinoma A549 cells treated with different inhibitors or transduction with lentivirus-mediated PLCγ1 gene short-hairpin RNA (shRNA) vectors using MTT, clonogenicity, Transwell migration, RT-PCR, Caspase-3, mitochondrial transmembrane potential, and western blotting assays, as well as transmission electron microscope technique. Additionally, the effect of shRNA/PLCγ1 alone or combined with autophagic activator Lithium Chloride (LiCl) on tumor growth and metastasis was measured using immunohistochemistry and assays in A549 xenograft nude mouse model. The results showed that increased PLCγ1 expression occurred frequently in human lung adenocarcinoma tissue with higher grades of T in TNM staging classification. PLCγ1 significantly enriched in autophagic process and regulation, which negatively regulating autophagy was enriched in higher expression of PLCγ1. PLCγ1 inhibition partially reduced cell proliferation and migration of A549 cells, with an increased autophagic flux involving alterations of AMPKα, mTOR, and ERK levels. However, PLCγ1 inhibition-driven autophagy led to cell death without depending on Caspase-3 and RIP1. Additionally, the abrogation of PLCγ1 signaling by shRNA and combination with autophagic activator LiCl could efficaciously suppress tumor growth and metastasis in A549 xenograft nude mice, in combination with a decrease in P62 level. These findings collectively suggest that reduction of cell proliferation and migration by PLCγ1 inhibition could be partially attributed to PLCγ1 inhibition-driven autophagic cell death (ACD). It highlights the potential role of a combination between targeting PLCγ1 and autophagy pathway in anti-tumor therapy, which may be an efficacious new strategy to overcome the autophagy addition of tumor and acquired resistance to current therapy.</p>
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</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Int J Biol Sci</journal-id>
<journal-id journal-id-type="iso-abbrev">Int. J. Biol. Sci</journal-id>
<journal-id journal-id-type="publisher-id">ijbs</journal-id>
<journal-title-group>
<journal-title>International Journal of Biological Sciences</journal-title>
</journal-title-group>
<issn pub-type="epub">1449-2288</issn>
<publisher>
<publisher-name>Ivyspring International Publisher</publisher-name>
<publisher-loc>Sydney</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmc">7085223</article-id>
<article-id pub-id-type="doi">10.7150/ijbs.42962</article-id>
<article-id pub-id-type="publisher-id">ijbsv16p1427</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Paper</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Phosphoinositide specific phospholipase Cγ1 inhibition-driven autophagy caused cell death in human lung adenocarcinoma A549 cells
<italic>in vivo</italic>
and
<italic>in vitro</italic>
</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lu</surname>
<given-names>Xiaohong</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fu</surname>
<given-names>Haijing</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Rui</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yue</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhan</surname>
<given-names>Yanyan</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Gang</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Tianhui</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xia</surname>
<given-names>Chun</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Xuemei</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
<xref ref-type="corresp" rid="FNA_envelop"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Bing</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="corresp" rid="FNA_envelop"></xref>
</contrib>
</contrib-group>
<aff id="A1">
<label>1</label>
Cancer Research Center, School of Medicine, Xiamen University, 361102, Fujian, China</aff>
<aff id="A2">
<label>2</label>
Zhongshan Hospital, Xiamen University,361004, Xiamen, Fujian, China</aff>
<aff id="A3">
<label>3</label>
School of Life Sciences, South China Normal University, 510631, Guangzhou, Gangdong, China</aff>
<author-notes>
<corresp id="FNA_envelop">✉ Corresponding authors: E-mail address:
<email>tianxuemei@m.scnu.edu.cn</email>
(Xuemei Tian),
<email>cristal66@xmu.edu.cn</email>
(Bing Zhang)</corresp>
<fn fn-type="COI-statement">
<p>Competing Interests: The authors have declared that no competing interest exists.</p>
</fn>
</author-notes>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>21</day>
<month>2</month>
<year>2020</year>
</pub-date>
<volume>16</volume>
<issue>8</issue>
<fpage>1427</fpage>
<lpage>1440</lpage>
<history>
<date date-type="received">
<day>11</day>
<month>12</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>3</day>
<month>2</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>© The author(s)</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>
). See
<ext-link ext-link-type="uri" xlink:href="http://ivyspring.com/terms">http://ivyspring.com/terms</ext-link>
for full terms and conditions.</license-p>
</license>
</permissions>
<abstract>
<p>Our previous studies indicated that phosphoinositide specific phospholipase Cγ1 (PLCγ1) was involved in autophagy induction in colon and hepatic carcinoma cells. However, whether and how PLCγ1 regulation in human lung adenocarcinoma is linked to autophagy remains unclear. Here, we assessed the protein expression of PLCγ1 in human lung adenocarcinoma tissue using immunohistochemistry assay and the relationship between PLCG1 and autophagy in The Cancer Genome Atlas Network (TCGA) using Spearman correlation analysis and GSEA software. Furthermore, the interaction between PLCγ1 and autophagy-related signal molecules was investigated in human lung adenocarcinoma A549 cells treated with different inhibitors or transduction with lentivirus-mediated PLCγ1 gene short-hairpin RNA (shRNA) vectors using MTT, clonogenicity, Transwell migration, RT-PCR, Caspase-3, mitochondrial transmembrane potential, and western blotting assays, as well as transmission electron microscope technique. Additionally, the effect of shRNA/PLCγ1 alone or combined with autophagic activator Lithium Chloride (LiCl) on tumor growth and metastasis was measured using immunohistochemistry and assays in A549 xenograft nude mouse model. The results showed that increased PLCγ1 expression occurred frequently in human lung adenocarcinoma tissue with higher grades of T in TNM staging classification. PLCγ1 significantly enriched in autophagic process and regulation, which negatively regulating autophagy was enriched in higher expression of PLCγ1. PLCγ1 inhibition partially reduced cell proliferation and migration of A549 cells, with an increased autophagic flux involving alterations of AMPKα, mTOR, and ERK levels. However, PLCγ1 inhibition-driven autophagy led to cell death without depending on Caspase-3 and RIP1. Additionally, the abrogation of PLCγ1 signaling by shRNA and combination with autophagic activator LiCl could efficaciously suppress tumor growth and metastasis in A549 xenograft nude mice, in combination with a decrease in P62 level. These findings collectively suggest that reduction of cell proliferation and migration by PLCγ1 inhibition could be partially attributed to PLCγ1 inhibition-driven autophagic cell death (ACD). It highlights the potential role of a combination between targeting PLCγ1 and autophagy pathway in anti-tumor therapy, which may be an efficacious new strategy to overcome the autophagy addition of tumor and acquired resistance to current therapy.</p>
</abstract>
<kwd-group>
<kwd>PLCγ1 inhibition</kwd>
<kwd>autophagic cell death (ACD)</kwd>
<kwd>lung adenocarcinoma A549 cells</kwd>
<kwd>A549 xenograft nude mice</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption>
<p>
<bold> Criteria for statistical analysis of PLCγ1 expression in human adenocarcinoma.</bold>
PLCγ1 expression was detected in the tissue microassay with immunohistochemical assay as described in the Material and methods section (original magnification × 40).</p>
</caption>
<graphic xlink:href="ijbsv16p1427g001"></graphic>
</fig>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption>
<p>
<bold> Effect of PLCγ1 on cell proliferation and migration of human adenocarcinoma A549 cells.</bold>
(A) & (B) Cells were treated with U (20 μM) for 24 hours. The PLCγ1, p-PLCγ1, and β-actin protein levels were detected via western blotting, followed with the detection of cell viability via MTT assay and cell growth via colony forming as described in the Material and methods section(A). The MMP2 and MMP9 mRNA levels were detected via RT-PCR assay and the migrated cells were observed via Transwell migration assay as described in the Material and methods section (B). (C)&(D) Cells were transduced with shRNA/PLCγ1-1/2 vectors. The PLCγ1 and β-actin protein levels were detected via western blotting, followed with the detection of cell viability via MTT assay and cell growth via colony forming as described in the Material and methods section(C). The MMP2, MMP9, and GAPDH mRNA levels were detected via RT-PCR assay and the migrated cells were observed via Transwell migration assay as described in the Material and methods section (D). The data are representative of three independent experiments (*p<0.05, **p<0.01, ***p<0.001, ****p<0.0001).</p>
</caption>
<graphic xlink:href="ijbsv16p1427g002"></graphic>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption>
<p>
<bold> PLCγ1 inhibition promotes autophagic flux in human adenocarcinoma A549 cells.</bold>
(A) The relationship between PLCG1 and autophagy was assessed in The Cancer Genome Atlas Network (TCGA) by Spearman correlation analysis and GSEA software as described in the Material and methods section (r≤-0.4, p<0.05). (B) Cells were treated with different concentrations of U (20, 30, and 40 μM) for 24 hours and the PLCγ1, p-PLCγ1, LC3B, p62, and β-actin protein levels were detected via western blotting as described in the Material and methods section. (C) Cells were transduced with shRNA/PLCγ1-1/2 vectors and the PLCγ1, LC3B, p62, and β-actin protein levels were detected via western blotting as described in the Material and methods section (Left panel). Cells stably expressing shRNA/PLCγ1-1/2 were transiently transfected with pRK5-PLCγ1 vectors, and the PLCγ1, LC3B, and β-actin protein levels were detected via western blotting (Right panel). (D) Cells pretreated with CQ (20 μM) for 1 hour were co-treated with U (20 μM) for 24 hours and the PLCγ1, p- PLCγ1, LC3B, p62, and β-actin protein levels were detected via western blotting analysis as described in the Material and methods section. (E)&(F) Cells transduced with shRNA/PLCγ1-1/2 vectors were treated with or without CQ (20 μM) for 24 hours. The PLCγ1, LC3B, p62, and β-actin protein levels were detected via western blotting as described in the Material and methods section (E). After samples were made as described in the Material and methods section and autophagic vacuoles (indicated by red arrows) were observed under a transmission electron microscope (F). The data are representative of three independent experiments.</p>
</caption>
<graphic xlink:href="ijbsv16p1427g003"></graphic>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption>
<p>
<bold> Involvement of AMPK, mTOR, and ERK in PLCγ1 inhibition-driven autophagy in A549 cells.</bold>
(A) Cells were treated with U (20 μM) for 24 hours, and the PLCγ1, p-PLCγ1, AMPKα, p-AMPKα, mTOR, p-mTOR, ULK1, p-ULK1, ERK, p-ERK, and β-actin protein levels were detected via western blotting as described in the Material and methods section. (B) Cells were transduced with shRNA/PLCγ1-1 vector, and the PLCγ1, p-PLCγ1, AMPKα, p-AMPKα, mTOR, p-mTOR, ULK1, p-ULK1, ERK, p-ERK, and β-actin protein levels were detected via western blotting as described in the Material and methods section. (C) Cells were treated with different concentrations of Metformin (0.5,2, 5 mM) for 12 hours and the PLCγ1, p-PLCγ1, AMPKα, p-AMPKα, FAK, p-FAK, and β-actin protein levels were detected via western blotting as described in the Material and methods section. (D) Cells were transiently transfected with AMPKα1 or AMPKα2 vector, and the Flag, PLCγ1, p-PLCγ1, FAK, p-FAK, and β-actin protein levels were detected via western blotting as described in the Material and methods section.(E) Cells transfected transiently with pRK5-PLCγ1 vectors were treated with or without Rapamycin(1 μM) and PD98059 (20 μM) for 24 hours, respectively. The PLCγ1, mTOR, p-mTOR, ERK, p-ERK, LC3B, P62, and β-actin protein levels were detected via western blotting as described in the Material and methods section. The data are representative of three independent experiments.</p>
</caption>
<graphic xlink:href="ijbsv16p1427g004"></graphic>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption>
<p>
<bold> Effect of PLCγ1 inhibition-driven autophagy on cell proliferation, migration and drug resistance in A549 cells.</bold>
(A) & (B) & (C)&(D) Cells were pretreated with or without 3 MA (1 mM) and CQ (20 μM) for 1 hour, respectively, followed by co-treatment with U (20 μM) for 24 hours. The cell viabilities were then detected via MTT assay as described in the Material and methods section (A). The MMP2, MMP9, and GAPDH mRNA levels were detected via RT-PCR assay as described in the Material and methods section (B&C). The migrated cells were observed with Transwell migration assay as described in the Material and methods section (D). (E) Cells were transduced with shRNA/PLCγ1-2 vectors and the PLCG1, ABCB1, MRP1, and GAPDH mRNA levels were detected via RT-PCR assay as described in the Material and methods section. The data are representative of three independent experiments (*p<0.05, **p<0.01, ***p<0.001, ****p<0.0001).</p>
</caption>
<graphic xlink:href="ijbsv16p1427g005"></graphic>
</fig>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption>
<p>
<bold> PLCγ1 inhibition-driven autophagy lead to cell death in A549 cells.</bold>
(A) Cells were treated with U (20 μM) for 24 hours or transduced with shRNA/PLCγ1-1/2 vectors, and the PLCγ1, Caspase-3, Bcl-2, and β-actin protein levels were detected via western blotting as described in the Material and methods section. (B) Cells were treated with U (20 μM) for 24 hours (Doxorubicin as positive control). Caspase-3 activity was detected as described in the Material and methods section (B). (C) Cells were treated with U (20 μM) for 24 hours. The mitochondrial transmembrane potential was detected using JC-1 assay as described in the Material and methods section(C). (D)&(E)&(F) Cells were pretreated with or without Z-VAD-FAK (Z-VAD,20 μM) or Necrostatin-1(Nec-1, 50 μM) for 1 hour, followed by co-treatment with U(20μM) for 24 hours. The cell viability was detected with MTT assay as described in the Material and methods section (D). The MMP9 and GAPDH mRNA levels were detected via RT-PCR assay as described in the Material and methods section (E). The migrated cells were detected via Transwell migration assay as described in the Material and methods section (F). The data are representative of three independent experiments (**p<0.01, ***p<0.001, ****p<0.0001).</p>
</caption>
<graphic xlink:href="ijbsv16p1427g006"></graphic>
</fig>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption>
<p>
<bold> Effect of depletion of PLCγ1 by shRNA or treatment of LiCl on tumor growth and metastasis in a nude mouse xenograft model of A549 cells.</bold>
(A) Volume of tumor sample from nude mice. (B) Weight of tumor sample from nude mice. (C) Relative mRNA level of PLCG1 and P62 in tumor sample was measured using RT-PCR as described in the Material and methods section. (D)&(E) Ki67 and MMP2 protein levels were detected via Immunohistochemistry assay as described in the Material and methods section (*p<0.05, **p<0.01, ***p<0.001, ****p<0.0001).</p>
</caption>
<graphic xlink:href="ijbsv16p1427g007"></graphic>
</fig>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption>
<p>Schematic representation of PLCγ1 inhibition-driven autophagy in human lung adenocarcinoma A549 cells.</p>
</caption>
<graphic xlink:href="ijbsv16p1427g008"></graphic>
</fig>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Clinical pathological characteristics of PLCγ1 in human lung adenocarcinoma</p>
</caption>
<table frame="hsides" rules="groups">
<thead valign="top">
<tr>
<th rowspan="2" colspan="1"></th>
<th colspan="5" rowspan="1">PLCγ1</th>
</tr>
<tr>
<th rowspan="1" colspan="1">Cases </th>
<th rowspan="1" colspan="1">-/+</th>
<th rowspan="1" colspan="1">++/+++</th>
<th rowspan="1" colspan="1">X
<sup>2</sup>
</th>
<th rowspan="1" colspan="1">P</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="1" colspan="1">
<bold>Tumor stage</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">I</td>
<td rowspan="1" colspan="1">28</td>
<td rowspan="1" colspan="1">17</td>
<td rowspan="1" colspan="1">11</td>
<td rowspan="1" colspan="1">8.93</td>
<td rowspan="1" colspan="1">0.003</td>
</tr>
<tr>
<td rowspan="1" colspan="1">II, III</td>
<td rowspan="1" colspan="1">28</td>
<td rowspan="1" colspan="1">6</td>
<td rowspan="1" colspan="1">22</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Metastasis</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">Non-metastasis</td>
<td rowspan="1" colspan="1">33</td>
<td rowspan="1" colspan="1">17</td>
<td rowspan="1" colspan="1">16</td>
<td rowspan="1" colspan="1">3.6</td>
<td rowspan="1" colspan="1">0.057</td>
</tr>
<tr>
<td rowspan="1" colspan="1">Regional lymph node metastasis</td>
<td rowspan="1" colspan="1">23</td>
<td rowspan="1" colspan="1">6</td>
<td rowspan="1" colspan="1">17</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>Primers in quantitative PCR</p>
</caption>
<table frame="hsides" rules="groups">
<thead valign="top">
<tr>
<th rowspan="1" colspan="1">Gene</th>
<th rowspan="1" colspan="1">Forward Primer</th>
<th rowspan="1" colspan="1">Reverse Primer</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="1" colspan="1">
<italic>PLCG1</italic>
</td>
<td rowspan="1" colspan="1">5'-GGAAGACCTCACGGG ACTTTG -3'</td>
<td rowspan="1" colspan="1">5'- GCGTTTTCAGGCGAA ATTCCA -3'</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<italic>MMP2</italic>
</td>
<td rowspan="1" colspan="1">5'-AGTAAACAGCAAGAGAACCT -3'</td>
<td rowspan="1" colspan="1">5'-ACAGATGCCACAATAAAGC -3'</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<italic>MMP9</italic>
</td>
<td rowspan="1" colspan="1">5'-ACTACTGTGCCTTTGAGTC -3'</td>
<td rowspan="1" colspan="1">5'- TACTTCCCATCCTTG AACAA -3'</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<italic>ABCB1</italic>
</td>
<td rowspan="1" colspan="1">5'- CCCATCATTGCA ATAGCAGG -3'</td>
<td rowspan="1" colspan="1">5'- GTTCAA ACT TCTGCTCCTGA -3'</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<italic>MRP1</italic>
</td>
<td rowspan="1" colspan="1">5'-CCGTGTACTACTCCAACGCTGACAT -3 '</td>
<td rowspan="1" colspan="1">5'-ATGCTGTGCGTGACCAAGATCC -3'</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<italic>P62</italic>
</td>
<td rowspan="1" colspan="1">5'-TCCCTGTCAAGCAGTATCC-3'</td>
<td rowspan="1" colspan="1">5'-CCTCCTTGGCTTTGTCTC-3'</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<italic>GAPDH</italic>
</td>
<td rowspan="1" colspan="1">5'-TGCACCACCAACTGCTTAGC -3'</td>
<td rowspan="1" colspan="1">5'-GGCATGGACTGTGGTCATGAG -3'</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</pmc>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
</list>
<tree>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Lu, Xiaohong" sort="Lu, Xiaohong" uniqKey="Lu X" first="Xiaohong" last="Lu">Xiaohong Lu</name>
</noRegion>
<name sortKey="Chen, Rui" sort="Chen, Rui" uniqKey="Chen R" first="Rui" last="Chen">Rui Chen</name>
<name sortKey="Fu, Haijing" sort="Fu, Haijing" uniqKey="Fu H" first="Haijing" last="Fu">Haijing Fu</name>
<name sortKey="Hu, Tianhui" sort="Hu, Tianhui" uniqKey="Hu T" first="Tianhui" last="Hu">Tianhui Hu</name>
<name sortKey="Song, Gang" sort="Song, Gang" uniqKey="Song G" first="Gang" last="Song">Gang Song</name>
<name sortKey="Tian, Xuemei" sort="Tian, Xuemei" uniqKey="Tian X" first="Xuemei" last="Tian">Xuemei Tian</name>
<name sortKey="Wang, Yue" sort="Wang, Yue" uniqKey="Wang Y" first="Yue" last="Wang">Yue Wang</name>
<name sortKey="Xia, Chun" sort="Xia, Chun" uniqKey="Xia C" first="Chun" last="Xia">Chun Xia</name>
<name sortKey="Zhan, Yanyan" sort="Zhan, Yanyan" uniqKey="Zhan Y" first="Yanyan" last="Zhan">Yanyan Zhan</name>
<name sortKey="Zhang, Bing" sort="Zhang, Bing" uniqKey="Zhang B" first="Bing" last="Zhang">Bing Zhang</name>
</country>
</tree>
</affiliations>
</record>

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