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Retinoblastoma protein regulates the crosstalk between autophagy and apoptosis, and favors glioblastoma resistance to etoposide

Identifieur interne : 001414 ( Ncbi/Merge ); précédent : 001413; suivant : 001415

Retinoblastoma protein regulates the crosstalk between autophagy and apoptosis, and favors glioblastoma resistance to etoposide

Auteurs : D. Biasoli [Brésil] ; S A Kahn [Brésil] ; T A Cornélio [Brésil] ; M. Furtado [Brésil, Australie] ; L. Campanati [Brésil] ; H. Chneiweiss [France] ; V. Moura-Neto [Brésil] ; H L Borges [Brésil]

Source :

RBID : PMC:3763445

Abstract

Glioblastomas (GBMs) are devastating tumors of the central nervous system, with a poor prognosis of 1-year survival. This results from a high resistance of GBM tumor cells to current therapeutic options, including etoposide (VP-16). Understanding resistance mechanisms may thus open new therapeutic avenues. VP-16 is a topoisomerase inhibitor that causes replication fork stalling and, ultimately, the formation of DNA double-strand breaks and apoptotic cell death. Autophagy has been identified as a VP-16 treatment resistance mechanism in tumor cells. Retinoblastoma protein (RB) is a classical tumor suppressor owing to its role in G1/S cell cycle checkpoint, but recent data have shown RB participation in many other cellular functions, including, counterintuitively, negative regulation of apoptosis. As GBMs usually display an amplification of the EGFR signaling involving the RB protein pathway, we questioned whether RB might be involved in mechanisms of resistance of GBM cells to VP-16. We observed that RB silencing increased VP-16-induced DNA double-strand breaks and p53 activation. Moreover, RB knockdown increased VP-16-induced apoptosis in GBM cell lines and cancer stem cells, the latter being now recognized essential to resistance to treatments and recurrence. We also showed that VP-16 treatment induced autophagy, and that RB silencing impaired this process by inhibiting the fusion of autophagosomes with lysosomes. Taken together, our data suggest that RB silencing causes a blockage on the VP-16-induced autophagic flux, which is followed by apoptosis in GBM cell lines and in cancer stem cells. Therefore, we show here, for the first time, that RB represents a molecular link between autophagy and apoptosis, and a resistance marker in GBM, a discovery with potential importance for anticancer treatment.


Url:
DOI: 10.1038/cddis.2013.283
PubMed: 23949216
PubMed Central: 3763445

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PMC:3763445

Le document en format XML

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<p>Glioblastomas (GBMs) are devastating tumors of the central nervous system, with a poor prognosis of 1-year survival. This results from a high resistance of GBM tumor cells to current therapeutic options, including etoposide (VP-16). Understanding resistance mechanisms may thus open new therapeutic avenues. VP-16 is a topoisomerase inhibitor that causes replication fork stalling and, ultimately, the formation of DNA double-strand breaks and apoptotic cell death. Autophagy has been identified as a VP-16 treatment resistance mechanism in tumor cells. Retinoblastoma protein (RB) is a classical tumor suppressor owing to its role in G1/S cell cycle checkpoint, but recent data have shown RB participation in many other cellular functions, including, counterintuitively, negative regulation of apoptosis. As GBMs usually display an amplification of the EGFR signaling involving the RB protein pathway, we questioned whether RB might be involved in mechanisms of resistance of GBM cells to VP-16. We observed that RB silencing increased VP-16-induced DNA double-strand breaks and p53 activation. Moreover, RB knockdown increased VP-16-induced apoptosis in GBM cell lines and cancer stem cells, the latter being now recognized essential to resistance to treatments and recurrence. We also showed that VP-16 treatment induced autophagy, and that RB silencing impaired this process by inhibiting the fusion of autophagosomes with lysosomes. Taken together, our data suggest that RB silencing causes a blockage on the VP-16-induced autophagic flux, which is followed by apoptosis in GBM cell lines and in cancer stem cells. Therefore, we show here, for the first time, that RB represents a molecular link between autophagy and apoptosis, and a resistance marker in GBM, a discovery with potential importance for anticancer treatment.</p>
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<name sortKey="Knudsen, Es" uniqKey="Knudsen E">ES Knudsen</name>
</author>
<author>
<name sortKey="Welch, Pj" uniqKey="Welch P">PJ Welch</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rasband, Ws" uniqKey="Rasband W">WS Rasband</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Geisa, M" uniqKey="Geisa M">M Geisa</name>
</author>
<author>
<name sortKey="Faustino, Mg" uniqKey="Faustino M">MG Faustino</name>
</author>
<author>
<name sortKey="Carlos, J" uniqKey="Carlos J">J Carlos</name>
</author>
<author>
<name sortKey="De Lucena, P" uniqKey="De Lucena P">P de Lucena</name>
</author>
<author>
<name sortKey="Stevens, Rehen" uniqKey="Stevens R">Rehen Stevens</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Cell Death Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">Cell Death Dis</journal-id>
<journal-title-group>
<journal-title>Cell Death & Disease</journal-title>
</journal-title-group>
<issn pub-type="epub">2041-4889</issn>
<publisher>
<publisher-name>Nature Publishing Group</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">23949216</article-id>
<article-id pub-id-type="pmc">3763445</article-id>
<article-id pub-id-type="pii">cddis2013283</article-id>
<article-id pub-id-type="doi">10.1038/cddis.2013.283</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Retinoblastoma protein regulates the crosstalk between autophagy and apoptosis, and favors glioblastoma resistance to etoposide</article-title>
<alt-title alt-title-type="running">RB regulates apoptosis and autophagy</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Biasoli</surname>
<given-names>D</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kahn</surname>
<given-names>S A</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cornélio</surname>
<given-names>T A</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Furtado</surname>
<given-names>M</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
<xref ref-type="aff" rid="aff2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Campanati</surname>
<given-names>L</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chneiweiss</surname>
<given-names>H</given-names>
</name>
<xref ref-type="aff" rid="aff3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Moura-Neto</surname>
<given-names>V</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Borges</surname>
<given-names>H L</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
<xref ref-type="corresp" rid="caf1">*</xref>
</contrib>
<aff id="aff1">
<label>1</label>
<institution>Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro</institution>
, Rio de Janeiro,
<country>Brazil</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Australian Regenerative Medicine Institute, Monash University</institution>
, Melbourne, VIC,
<country>Australia</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Glial Plasticity Laboratory, Center for Psychiatry and Neuroscience, U894 Inserm, Paris Descartes University</institution>
, Paris,
<country>France</country>
</aff>
</contrib-group>
<author-notes>
<corresp id="caf1">
<label>*</label>
<institution>Instituto de Ciências Biomédicas, CCS, Bloco F, Universidade Federal do Rio de Janeiro</institution>
, Rua Rodolpho Paulo Rocco, 255, Cidade Universitairia, Rio de Janeiro, 21949-590,
<country>Brazil</country>
. Tel: +55 21 2562-2931 Fax: +55 21 2290-0587 E-mail:
<email>hborges@icb.ufrj.br</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>08</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>15</day>
<month>08</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>1</day>
<month>8</month>
<year>2013</year>
</pub-date>
<volume>4</volume>
<issue>8</issue>
<fpage>e767</fpage>
<lpage></lpage>
<history>
<date date-type="received">
<day>08</day>
<month>02</month>
<year>2013</year>
</date>
<date date-type="rev-recd">
<day>11</day>
<month>06</month>
<year>2013</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>06</month>
<year>2013</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2013 Macmillan Publishers Limited</copyright-statement>
<copyright-year>2013</copyright-year>
<copyright-holder>Macmillan Publishers Limited</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-nd/3.0/">
<pmc-comment>author-paid</pmc-comment>
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/</license-p>
</license>
</permissions>
<abstract>
<p>Glioblastomas (GBMs) are devastating tumors of the central nervous system, with a poor prognosis of 1-year survival. This results from a high resistance of GBM tumor cells to current therapeutic options, including etoposide (VP-16). Understanding resistance mechanisms may thus open new therapeutic avenues. VP-16 is a topoisomerase inhibitor that causes replication fork stalling and, ultimately, the formation of DNA double-strand breaks and apoptotic cell death. Autophagy has been identified as a VP-16 treatment resistance mechanism in tumor cells. Retinoblastoma protein (RB) is a classical tumor suppressor owing to its role in G1/S cell cycle checkpoint, but recent data have shown RB participation in many other cellular functions, including, counterintuitively, negative regulation of apoptosis. As GBMs usually display an amplification of the EGFR signaling involving the RB protein pathway, we questioned whether RB might be involved in mechanisms of resistance of GBM cells to VP-16. We observed that RB silencing increased VP-16-induced DNA double-strand breaks and p53 activation. Moreover, RB knockdown increased VP-16-induced apoptosis in GBM cell lines and cancer stem cells, the latter being now recognized essential to resistance to treatments and recurrence. We also showed that VP-16 treatment induced autophagy, and that RB silencing impaired this process by inhibiting the fusion of autophagosomes with lysosomes. Taken together, our data suggest that RB silencing causes a blockage on the VP-16-induced autophagic flux, which is followed by apoptosis in GBM cell lines and in cancer stem cells. Therefore, we show here, for the first time, that RB represents a molecular link between autophagy and apoptosis, and a resistance marker in GBM, a discovery with potential importance for anticancer treatment.</p>
</abstract>
<kwd-group>
<kwd>cell death</kwd>
<kwd>cancer stem cells</kwd>
<kwd>tumor suppressor</kwd>
<kwd>VP-16</kwd>
<kwd>central nervous system tumor</kwd>
<kwd>macroautophagy</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group>
<fig id="fig1">
<label>Figure 1</label>
<caption>
<p>RB knockdown in GBM cells and GSCs. (
<bold>a</bold>
) Representative western Blotting image of three independent experiments, comparing the levels of RB protein between non-silenced (siRNA-Neg) and silenced groups (siRNA-RB) of U87 and GBM95 cell lines.
<italic>α</italic>
-Tubulin was used as loading control. (
<bold>b</bold>
) Histogram comparing RB levels between silenced (siRNA-RB) and non-silenced groups (siRNA-Neg) of GBM cell lines U87 and GBM95. Data are represented as mean and S.E.M. of three independent experiments. (
<bold>c</bold>
) Representative western blotting image of three independent experiments, comparing the levels of RB protein between non-silenced (siRNA-Neg) and silenced groups (siRNA-RB) of GSCs OB1.
<italic>α</italic>
-Tubulin was used as loading control. (
<bold>d</bold>
) Histogram comparing RB levels in GSCs OB1 between silenced (siRNA-RB) and non- silenced groups (siRNA-Neg). Data are represented as mean and S.E.M. of three independent experiments. (
<bold>e</bold>
) VP-16 dose–response curves of GBM cell lines U87 and GBM95, and GSCs OB1. Graphic shows the % of survival as measured by MTT method by the indicated dose treatment of VP-16 for 24 h. Data are represented as mean and S.E.M. of three independent experiments</p>
</caption>
<graphic xlink:href="cddis2013283f1"></graphic>
</fig>
<fig id="fig2">
<label>Figure 2</label>
<caption>
<p>RB knockdown increased apoptosis induced by VP-16. (
<bold>a</bold>
) Representative images of three independent experiments of TUNEL assay (red) in U87 and GBM95 cells after 24 h of 1 
<italic>μ</italic>
M VP-16 treatment; experimental groups as indicated. Nuclei were stained with DAPI. Arrows indicate TUNEL-positive cells. Scale bar=10 
<italic>μ</italic>
m. (
<bold>b</bold>
) Representative images of three independent experiments of TUNEL assay (red) in OB1 GSCs cells after 24 h of 30 
<italic>μ</italic>
M VP-16 treatment; experimental groups as indicated. Nuclei were stained with DAPI. Arrows indicate TUNEL-positive cells. Scale bar=10 
<italic>μ</italic>
m. (
<bold>c</bold>
) Percentage of TUNEL-positive U87 (black bars) and GBM95 (white bars) cells 24 h after 1 
<italic>μ</italic>
M VP-16 treatment; experimental groups as indicated. **
<italic>P</italic>
<0.01 and ***
<italic>P</italic>
<0.005 by ANOVA and Tukey's post test. Data are represented as mean and S.E.M. of three independent experiments. (
<bold>d</bold>
) Percentage of TUNEL-positive OB1 cells 24 h after VP-16 treatment in each experimental group indicated. ***
<italic>P</italic>
<0.005 by ANOVA and Tukey's post test. Data are represented as mean and S.E.M. of three independent experiments. (
<bold>e</bold>
) Percentage of cleaved caspase-3 positive U87 (black bars) cells 24 h after 1 
<italic>μ</italic>
M VP-16 treatment; experimental groups as indicated. *
<italic>P</italic>
<0,05 by ANOVA and Tukey's post test. Data are represented as mean and S.E.M. of three independent experiments. (
<bold>f</bold>
) Representative phospho-p53 (ser 15) immunoblotting for U87 cells 24 h post-VP-16 treatment; experimental groups as indicated.
<italic>α</italic>
-Tubulin was used as loading control</p>
</caption>
<graphic xlink:href="cddis2013283f2"></graphic>
</fig>
<fig id="fig3">
<label>Figure 3</label>
<caption>
<p>RB knockdown increased apoptosis induced by VP-16 in different GBM cell lines. (
<bold>a</bold>
) Representative images of three independent experiments of TUNEL assay (red) using A172, T98G and U373 cells after 24 h of 1 
<italic>μ</italic>
M VP-16 treatment; experimental groups as indicated. Nuclei were stained with DAPI. Arrows indicate TUNEL-positive cells. Scale bar=10 
<italic>μ</italic>
m. (
<bold>b</bold>
) Percentage of TUNEL-positive A172 (checkered bars), T98G (horizontal striped bars) and U373 (gray bars) cells 24 h after 1 
<italic>μ</italic>
M VP-16 treatment; experimental groups as indicated. **
<italic>P</italic>
<0.01 and ***
<italic>P</italic>
<0.005 by ANOVA and Tukey's post test. Data are represented as mean and S.E.M. of three independent experiments. (
<bold>c</bold>
) Representative western Blotting image of three independent experiments, comparing the levels of RB protein between non-silenced (siRNA-Neg) and silenced groups (siRNA-RB) of A172, T98G and U373 cell lines. α-Tubulin was used as loading control</p>
</caption>
<graphic xlink:href="cddis2013283f3"></graphic>
</fig>
<fig id="fig4">
<label>Figure 4</label>
<caption>
<p>RB knockdown increased DNA double-strand breaks induced by VP-16. (
<bold>a</bold>
) Representative images of three independent experiments of immunofluorescence staining with anti-
<italic>γ</italic>
H2AX antibody (red) after 1 h of VP-16 treatment in U87 cells; experimental groups as indicated. Nuclei were stained with DAPI. Scale bar=10 
<italic>μ</italic>
m. (
<bold>b</bold>
) Histogram shows fold changes of red fluorescence intensity (mean red fluorescence/total cell number) over siRNA-Neg control group; after 1 h of VP-16 treatment of U87 (black bars) and GBM95 (white bars) cells; experimental groups as indicated. ***
<italic>P</italic>
<0.005 by ANOVA and Tukey's post test. Data are represented as mean and S.E.M. of three independent experiments. (
<bold>c</bold>
) Representative
<italic>γ</italic>
-H2AX immunoblot of U87 and GBM95 cells 1 h post-VP-16 treatment; experimental groups as indicated.
<italic>α</italic>
-Tubulin was used as loading control</p>
</caption>
<graphic xlink:href="cddis2013283f4"></graphic>
</fig>
<fig id="fig5">
<label>Figure 5</label>
<caption>
<p>RB knockdown impaired VP-16-induced autophagy. (
<bold>a</bold>
) Representative Beclin-1 and LC-3 immunoblots for U87 cells 24 h post-VP-16 treatment (1 
<italic>μ</italic>
M); experimental groups as indicated.
<italic>α</italic>
-Tubulin was used as loading control. Starved cells were used as positive control of autophagy induction. Starvation was induced by incubating the cells for 3 h in Krebs-Ringer buffer. (
<bold>b</bold>
) Graphic shows changes in intensity of red fluorescence (indicating acid vesicles labeled with acridine orange) in U87 (black bars) and GBM95 (white bars) cells after 24 h of VP-16 treatment (1 
<italic>μ</italic>
M). Changes in red fluorescence were represented as fold increase (mean red fluorescence/total cell number) over control (siRNA-Neg group); experimental groups as indicated. **
<italic>P</italic>
<0.01 by ANOVA and Tukey's post test. Data are represented as mean and S.EM. of three independent experiments. (
<bold>c</bold>
) Representative images of three independent experiments of acridine orange vital staining of U87 cells after 24 h of 1 
<italic>μ</italic>
M VP-16 treatment; experimental groups as indicated. Acid vesicles are stained in red and total cells are represented by the nuclear–cytoplasmic green staining. Scale bar=10 
<italic>μ</italic>
m. (
<bold>d</bold>
) Transmission electron microscopy of VP-16-treated cells (1 
<italic>μ</italic>
M for 24 h) shows the presence of content filled autophagic vacuoles (white arrows) in both non-silenced and silenced groups (siRNA-Neg plus VP-16 and siRNA-RB plus VP-16 groups, respectively). Although non-silenced cells also show several clear vacuoles of which most of the content has been degraded (black arrows), RB-silenced cells show mainly content-filled vacuoles (white arrows), possibly indicating autophagic flux blockage. Control cells (siRNA-Neg) show vacuoles with hardly any content. N, nucleus. Scale bar=6 
<italic>μ</italic>
m</p>
</caption>
<graphic xlink:href="cddis2013283f5"></graphic>
</fig>
<fig id="fig6">
<label>Figure 6</label>
<caption>
<p>RB knockdown blocked VP-16-induced autophagic flux. (
<bold>a</bold>
) Representative confocal images of three independent experiments showing LAMP 1 – a lysosome marker (red) and LC3 – a autophagosome marker (green) colocalization in U87 cells after 24 h of 1 
<italic>μ</italic>
M VP-16 treatment; experimental groups as indicated. Nuclei were stained with DAPI. Scale bar=20 
<italic>μ</italic>
m. (
<bold>a′</bold>
) Higher magnifications of siRNA-Neg plus VP-16 and siRNA-RB plus VP-16 conditions images. Arrows indicate cells with LAMP 1/LC3 colocalization. Arrowheads indicate cells without LAMP 1/LC3 colocalization. Scale bar=20 
<italic>μ</italic>
m. (
<bold>b</bold>
) Histogram showing the LAMP1/LC3 colocalization rate in U87 cells after 24 h of VP-16 treatment. Experimental groups as indicated. ***
<italic>P</italic>
<0.005 by ANOVA and Tukey's post test. Data are represented as mean and S.E.M. of three independent experiments. (
<bold>c</bold>
) Histogram shows fold changes of p62 levels over siRNA-Neg control group; after 24 h of VP-16 treatment of U87 cells; experimental groups as indicated. ***
<italic>P</italic>
<0.005 by ANOVA and Tukey's post test. Data are represented as mean and S.E.M. of three independent experiments. (
<bold>d</bold>
) Histogram shows fold changes VRK1 levels over siRNA-Neg control group; after 24 h of VP-16 treatment of U87 cells; experimental groups as indicated. *
<italic>P</italic>
<0.05 by ANOVA and Tukey's post test. Data are represented as mean and S.E.M. of three independent experiments. (
<bold>e</bold>
) Representative p62 and VRK1 immunoblots for U87 cells 24 h post-VP-16 treatment; experimental groups as indicated.
<italic>α</italic>
-Tubulin was used as loadisng control</p>
</caption>
<graphic xlink:href="cddis2013283f6"></graphic>
</fig>
</floats-group>
</pmc>
<affiliations>
<list>
<country>
<li>Australie</li>
<li>Brésil</li>
<li>France</li>
</country>
</list>
<tree>
<country name="Brésil">
<noRegion>
<name sortKey="Biasoli, D" sort="Biasoli, D" uniqKey="Biasoli D" first="D" last="Biasoli">D. Biasoli</name>
</noRegion>
<name sortKey="Borges, H L" sort="Borges, H L" uniqKey="Borges H" first="H L" last="Borges">H L Borges</name>
<name sortKey="Campanati, L" sort="Campanati, L" uniqKey="Campanati L" first="L" last="Campanati">L. Campanati</name>
<name sortKey="Cornelio, T A" sort="Cornelio, T A" uniqKey="Cornelio T" first="T A" last="Cornélio">T A Cornélio</name>
<name sortKey="Furtado, M" sort="Furtado, M" uniqKey="Furtado M" first="M" last="Furtado">M. Furtado</name>
<name sortKey="Kahn, S A" sort="Kahn, S A" uniqKey="Kahn S" first="S A" last="Kahn">S A Kahn</name>
<name sortKey="Moura Neto, V" sort="Moura Neto, V" uniqKey="Moura Neto V" first="V" last="Moura-Neto">V. Moura-Neto</name>
</country>
<country name="Australie">
<noRegion>
<name sortKey="Furtado, M" sort="Furtado, M" uniqKey="Furtado M" first="M" last="Furtado">M. Furtado</name>
</noRegion>
</country>
<country name="France">
<noRegion>
<name sortKey="Chneiweiss, H" sort="Chneiweiss, H" uniqKey="Chneiweiss H" first="H" last="Chneiweiss">H. Chneiweiss</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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