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Localised angiosarcomas: The identification of prognostic factors and analysis of treatment impact. A retrospective analysis from the French Sarcoma Group (GSF/GETO)

Identifieur interne : 000201 ( France/Analysis ); précédent : 000200; suivant : 000202

Localised angiosarcomas: The identification of prognostic factors and analysis of treatment impact. A retrospective analysis from the French Sarcoma Group (GSF/GETO)

Auteurs : Clothilde Lindet [France] ; Agnès Neuville [France] ; Nicolas Penel [France] ; Marick Lae [France] ; Jean-Jacques Michels [France] ; Martine Trassard [France] ; Philippe Terrier [France] ; Isabelle Birtwisle-Peyrottes [France] ; Isabelle Valo [France] ; Françoise Collin [France] ; Marie-Christine Chateau [France] ; Yves-Marie Robin [France] ; Jean-Michel Coindre [France]

Source :

RBID : Pascal:13-0084494

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English descriptors

Abstract

Background: Angiosarcomas represent less than 2% of all adult soft tissue sarcomas. Prognostic factors and the role of (neo-) adjuvant treatments in the management of localised angiosarcomas require further investigation. Methods: We have conducted a retrospective multicenter study (June 1980 to October 2009) of 107 patients with localised angiosarcomas. All of the cases were centrally reviewed by a certified pathologist. Univariate and multivariate analyses were conducted to identify independent poor prognostic factors (PF). Overall survival (OS) and Local Recurrence-Free Survival (LRFS) were estimated using the Kaplan-Meier method. The effect of treatments was explored using the Cox model after adjusting for the PF. Results: The median age was 71 years. 22.4% and 62.6% developed an angiosarcoma in pre-existing lymphoedema and within irradiated tissue respectively. The median OS, LRFS and Disease Recurrence-Free Survival (DRFS) were 38.8, 27 and 36.1 months, respectively. In multivariate analysis, the following parameters influenced the OS: lymphoedema (Hazard ratio (HR) = 2.0) and size >5 cm (HR = 1.5). After adjustment to these PF, RO margins was the only treatment parameter that improving the OS (HR = 0.2). In the multivariate analysis, the LRFS was influenced by an age >70 (HR = 1.8) and pre-existing lymphoedema (HR = 2.0). After adjustment for these PF, RO margins (HR = 0.5) and adjuvant radiotherapy (HR = 0.3) improved the LRFS. Conclusions: Our results suggest the following points: (i) pre-existing lymphoedema, tumour size and age >70 are probably the major prognostic factors in patients with localised angiosarcomas ; (ii) the achievement of RO margins is probably of major importance for improving the patient outcome and (iii) adjuvant radiotherapy probably decreased the risk of local recurrence.


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Pascal:13-0084494

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<s3>FRA</s3>
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<s1>Department of Pathology, Centre George-François Leclerc, 1 r Prof Marion</s1>
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<s1>Department of Pathology, Centre Oscar Lambret, 3 rue Combemale</s1>
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<s3>FRA</s3>
<sZ>12 aut.</sZ>
</inist:fA14>
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<placeName>
<region type="region" nuts="2">Hauts-de-France</region>
<region type="old region" nuts="2">Nord-Pas-de-Calais</region>
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<s1>Department of Pathology, Institut Bergonie, 229 Cours Argonne</s1>
<s2>33000 Bordeaux</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
<sZ>13 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Nouvelle-Aquitaine</region>
<region type="old region" nuts="2">Aquitaine</region>
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</teiHeader>
<front>
<div type="abstract" xml:lang="en">Background: Angiosarcomas represent less than 2% of all adult soft tissue sarcomas. Prognostic factors and the role of (neo-) adjuvant treatments in the management of localised angiosarcomas require further investigation. Methods: We have conducted a retrospective multicenter study (June 1980 to October 2009) of 107 patients with localised angiosarcomas. All of the cases were centrally reviewed by a certified pathologist. Univariate and multivariate analyses were conducted to identify independent poor prognostic factors (PF). Overall survival (OS) and Local Recurrence-Free Survival (LRFS) were estimated using the Kaplan-Meier method. The effect of treatments was explored using the Cox model after adjusting for the PF. Results: The median age was 71 years. 22.4% and 62.6% developed an angiosarcoma in pre-existing lymphoedema and within irradiated tissue respectively. The median OS, LRFS and Disease Recurrence-Free Survival (DRFS) were 38.8, 27 and 36.1 months, respectively. In multivariate analysis, the following parameters influenced the OS: lymphoedema (Hazard ratio (HR) = 2.0) and size >5 cm (HR = 1.5). After adjustment to these PF, RO margins was the only treatment parameter that improving the OS (HR = 0.2). In the multivariate analysis, the LRFS was influenced by an age >70 (HR = 1.8) and pre-existing lymphoedema (HR = 2.0). After adjustment for these PF, RO margins (HR = 0.5) and adjuvant radiotherapy (HR = 0.3) improved the LRFS. Conclusions: Our results suggest the following points: (i) pre-existing lymphoedema, tumour size and age >70 are probably the major prognostic factors in patients with localised angiosarcomas ; (ii) the achievement of RO margins is probably of major importance for improving the patient outcome and (iii) adjuvant radiotherapy probably decreased the risk of local recurrence.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Aquitaine</li>
<li>Basse-Normandie</li>
<li>Bourgogne</li>
<li>Bourgogne-Franche-Comté</li>
<li>Hauts-de-France</li>
<li>Languedoc-Roussillon</li>
<li>Nord-Pas-de-Calais</li>
<li>Nouvelle-Aquitaine</li>
<li>Occitanie (région administrative)</li>
<li>Pays de la Loire</li>
<li>Provence-Alpes-Côte d'Azur</li>
<li>Région Normandie</li>
<li>Île-de-France</li>
</region>
<settlement>
<li>Angers</li>
<li>Bordeaux</li>
<li>Caen</li>
<li>Dijon</li>
<li>Lille</li>
<li>Montpellier</li>
<li>Nice</li>
<li>Paris</li>
<li>Saint-Cloud</li>
<li>Villejuif</li>
</settlement>
</list>
<tree>
<country name="France">
<region name="Hauts-de-France">
<name sortKey="Lindet, Clothilde" sort="Lindet, Clothilde" uniqKey="Lindet C" first="Clothilde" last="Lindet">Clothilde Lindet</name>
</region>
<name sortKey="Birtwisle Peyrottes, Isabelle" sort="Birtwisle Peyrottes, Isabelle" uniqKey="Birtwisle Peyrottes I" first="Isabelle" last="Birtwisle-Peyrottes">Isabelle Birtwisle-Peyrottes</name>
<name sortKey="Chateau, Marie Christine" sort="Chateau, Marie Christine" uniqKey="Chateau M" first="Marie-Christine" last="Chateau">Marie-Christine Chateau</name>
<name sortKey="Coindre, Jean Michel" sort="Coindre, Jean Michel" uniqKey="Coindre J" first="Jean-Michel" last="Coindre">Jean-Michel Coindre</name>
<name sortKey="Collin, Francoise" sort="Collin, Francoise" uniqKey="Collin F" first="Françoise" last="Collin">Françoise Collin</name>
<name sortKey="Lae, Marick" sort="Lae, Marick" uniqKey="Lae M" first="Marick" last="Lae">Marick Lae</name>
<name sortKey="Michels, Jean Jacques" sort="Michels, Jean Jacques" uniqKey="Michels J" first="Jean-Jacques" last="Michels">Jean-Jacques Michels</name>
<name sortKey="Neuville, Agnes" sort="Neuville, Agnes" uniqKey="Neuville A" first="Agnès" last="Neuville">Agnès Neuville</name>
<name sortKey="Penel, Nicolas" sort="Penel, Nicolas" uniqKey="Penel N" first="Nicolas" last="Penel">Nicolas Penel</name>
<name sortKey="Robin, Yves Marie" sort="Robin, Yves Marie" uniqKey="Robin Y" first="Yves-Marie" last="Robin">Yves-Marie Robin</name>
<name sortKey="Terrier, Philippe" sort="Terrier, Philippe" uniqKey="Terrier P" first="Philippe" last="Terrier">Philippe Terrier</name>
<name sortKey="Trassard, Martine" sort="Trassard, Martine" uniqKey="Trassard M" first="Martine" last="Trassard">Martine Trassard</name>
<name sortKey="Valo, Isabelle" sort="Valo, Isabelle" uniqKey="Valo I" first="Isabelle" last="Valo">Isabelle Valo</name>
</country>
</tree>
</affiliations>
</record>

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