Literature DB >> 30924137

Sarcomas in patients over 90: Natural history and treatment-A nationwide study over 6 years.

Clémence Basse1, Antoine Italiano2, Nicolas Penel3, Olivier Mir4, Claire Chemin1, Maud Toulmonde2, Florence Duffaud5, Axel Le Cesne6, Christine Chevreau7, Carlos Maynou3, Philippe Anract8, François Gouin9, Maria Rios10, Nelly Firmin11, Jean-Emmanuel Kurtz12, Pierre Kerbrat13, Sophie Piperno-Neumann14, François Bertucci15, Philippe Rosset16, Nicolas Isambert17, Emmanuelle Bompas18, Pascale Dubray-Longeras19, Fabrice Fiorenza20, Christine Le Maignan21, Loïc Chaigneau22, Antoine Thyss23, Olivier Bouché24, Jean-Christophe Eymard24, Corinne Delcambre Lair25, Julien Adam5, Marie Karanian1, Céleste Lebbé21, Aurélien Dupré1, Pierre Meeus1, Mehdi Brahmi1, Armelle Dufresne1, Françoise Ducimetière1, Isabelle Ray-Coquard1, Jean-Yves Blay1.   

Abstract

Soft tissue sarcomas (STS) are rare tumors accounting for less than 1% of human cancers. While the highest incidence of sarcomas is observed in elderly, this population is often excluded or poorly represented in clinical trials. The present study reports on clinicopathological presentation, and outcome of sarcoma patients over 90 recorded in the Netsarc.org French national database. NETSARC (netsarc.org) is a network of 26 reference sarcoma centers with specialized multidisciplinary tumor board (MDTB), funded by the French National Cancer Institute to improve the outcome of sarcoma patients. Since 2010, presentation to an MDTB, second pathological review, and collection of sarcoma patient characteristics and follow-up are collected in a database Information of patients registered from January 1, 2010, to December 31, 2016, in NETSARC were collected, analyzed and compared to the younger population. Patients with sarcomas aged >90 have almost exclusively sarcomas with complex genomics (92.0% vs. 66.3%), are less frequently metastatic (5.3% vs. 14·7%) at diagnosis, have more often superficial tumors (39.8% vs. 14.7%), as well as limbs and head and neck sites (75.2% vs. 38.7%) (all p < 0.001). Optimal diagnostic procedures and surgery were less frequently performed in patients over 90 (p < 0.001). These patients were less frequently operated in NETSARC centers, as compared to those of younger age groups including aged 80-90. However, local relapse-free survival, metastatic relapse-free survival and relapse-free survival were not significantly different from those of younger patients, in the whole cohort, as well as in the subgroup of operated patients. As expected overall survival was worse in patients over 90 (p < 0.001). Patients over 90 who were not operated had worse overall survival than younger patients (9.9 vs. 27.3 months, p < 0.001). Patients with STS diagnosed after 90 have distinct clinicopathological features, but comparable relapse-free survival, unless clinical practice guidelines recommendations are not applied. Standard management should be proposed to these patients if oncogeriatric status allows.
© 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

Entities:  

Keywords:  NETSARC; elderly patients; oncogeriatry; progression; registry; relapse; sarcomas; survival

Year:  2019        PMID: 30924137      PMCID: PMC6767526          DOI: 10.1002/ijc.32307

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


leiomyosarcomas multidisciplinary team myxofibrosarcomas progression‐free survival soft tissue sarcomas undifferentiated pleomorphic sarcomas

Introduction

Soft tissue sarcomas (STS) are rare tumors accounting for less than 1% of human cancers, with a yearly incidence close to 5.9/100,000.1, 2, 3, 4, 5 Death due to tumor is frequent in this group of diseases.5 While the highest incidence of sarcomas is observed in patients aged between 75 and 84 years with a rate of 16%,1, 5 elderly patients are often excluded or very poorly represented in clinical trials.6 Therefore, little is known about characteristics, treatment and outcomes concerning patients aged over 65, in particular for those over 90 years with STS.6, 7 Sarcomas represent a heterogeneous group with over 80 different pathological subtypes.8 Sarcoma with “simple genomics” include those with specific translocations, well‐differentiated liposarcomas with 12q amplicon and GIST with tyrosine kinase mutation accounting for 12–20% of cases each; those with “complex genomic” profiles (e.g., undifferentiated pleomorphic sarcomas [UPS], leiomyosarcomas [LMS] and myxofibrosarcomas [MFS]) account for 50% of all STS.9, 10, 11 The objective of this work was to analyze the presentation and outcome of sarcoma patients over 90 years, a group of patients unreported in the literature, with the aim of providing data which could guide the management of the general elderly patient population with sarcomas.

Patients and Methods

NETSARC network

NETSARC is the French reference network for the management of soft tissue and visceral sarcomas, collecting clinical, centrally reviewed pathology, therapeutics and outcome of all sarcoma patients in 26 centers. The registry was approved in October 2009 by the INCa (Institut National du Cancer) and the competent authorities (CNIL) in 2010.5 These databases have been approved by the French Ethics Committee and Agency in charge of noninterventional trials: Comité consultatif sur le traitement de l'information en matière de recherche dans le domaine de la Santé (CCTIRS: number of approval 09.594) and Commission Nationale Informatique et Liberté (CNIL: number of approval 909,510). In the present work, we used information of patients registered from January 1, 2010, to December 2016. Mean follow‐up of this series is 17 months. Patient's data (gender, histology, grade, depth, size, localization, treatment, relapse and survival) were collected from the NETSARC database (https://netsarc.org).

Statistical analysis

Collected data were analyzed using IBM SPSS Statistics version 20 (IBM, Paris, France). Chi‐square and Fisher exact tests were performed to analyze the data sets of the different age groups. Survival was plotted according to the Kaplan–Meier method, compared to the log‐rank test. Cox model was used for multivariate analysis of prognostic factors.

Results

Population

A total of 12,835 incident patients with sarcomas, with 113 (0.9%) patients aged >90 were registered in the national NETSARC sarcoma database between January 1, 2010, and December 31, 2016. Patients’ characteristics are described in Table 1. Sarcomas with complex genomics were overrepresented in patients over 90 when compared to patients under 90 (92.0% vs. 66.3%, p < 0.001). Undifferentiated pleomorphic sarcoma (UPS), LMS and MFS were the most represented histological subtypes in patients over 90 (Table 1). Limb and head and neck sites, and superficial locations were overrepresented in patients over 90 (p ≤ 0.001). Male patients were overrepresented in patients aged >90 while representing close to 25% of French citizen aged >90.
Table 1

Patient characteristics

Age at diagnosis p
Diagnosis at ≤90 n (%) n = 12,722 (99.4%)Diagnosis at >90 n (%) n = 113 (0.6%)
Age at diagnosis (years)
Median6292
Range0–9091‐101
SexNS1
Female6,283 (49·4%)62 (54·9%)
Male6,439 (50·6%)51 (45·1%)
Localization at diagnosis
Trunk6,706 (52·7%)25 (22·1%)≤0.0011
Limb4,218 (33·2%)67 (59·3%)
Superior limb 1,092 (8·6%) 22 (19·5%)
Inferior limb 3,126 (2·6%) 45 (3·8%)
Head & neck710 (5·5%)18 (15·9%)
Unknown1,088 (8·6%)3 (2·7%)
Histology
Complex genomics 8,431 (66·3%) 104 (92·0%) ≤0.0011
UPS1,569 (12·3%)40 (35·4%)
LMS2,762 (21·7%)16 (14·2%)
Myxofibrosarcoma804 (6·3%)14 (12·4%)
Angiosarcoma666 (5·2%)12 (10·6%)
DDLPS1,506 (11·8%)11 (9·7%)
Undifferentiated sarcoma768 (6·0%)10 (8·8%)
Rhabdomyosarcoma98 (0·7%)1 (0·9%)
Fibrosarcoma44 (0·3%)0 (0%)
Liposarcoma pleomorphic174 (1·4%)0 (0%)
Osteosarcoma40 (0%)0 (0%)
GIST 1,490 (11·7%) 6 (5·3%)
Translocation sarcoma 2,801 (20%) 3 (2·7%)
Ewing769 (6·0%)1 (0·9%)
Myxoid LPS484 (3·8%)1 (0·9%)
Synovial sarcoma635 (5·0%)1 (0·9%)
ESS273 (2·1%)0 (0%)
Epithelioid hemangioendothelioma100 (0·9%)0 (0%)
EMC89 (0·7%)0 (0%)
SFT451 (3·5%)0 (0%)
Grade
11,086 (8·5%)6 (5·3%)NS1
23,133 (24·6%)24 (2·2%)
33,800 (29·9%)39 (34·5%)
Unknown4,703 (36·9%)44 (38·9%)
Depth<0.0011
Superficial1873 (14·7%)45 (39·8%)
Deep8,636 (67·9%)50 (44·2%)
Superficial + deep806 (6·3%)13 (11·5%)
Unknown1,407 (11·1%)5 (4·4%)
SizeNS1
<50 mm1,620 (12·7%)18 (15·9%)
≥50 mm3,924 (30·8%)29 (25·7%)
Unknown7,178 (56·4%)66 (58·4%)
Previous history of radiotherapyNS1
No12,388 (97·7%)110 (97·3%)
Yes294 (2·3%)3 (2·7%)
Previous history of cancerNS1
No8,563 (67·3%)68 (60·2%)
Yes1,741 (13·7%)20 (17·7%)
Unknown2,418 (19·0%)25 (22·1%)
Known genetic predispositionNS1
No10,181 (80·0%)88 (77·9%)
Yes123 (1·0%)0 (0%)
Unknown2,418 (19·0%)25 (2·1%)
Metastatic at diagnosis0.0091
Yes1865 (14·7%)6 (5·3%)
No9,664 (76·0%)89 (78·8%)
Unknown1,193 (9·4%)18 (15·9%)

Italics refer to molecular subtypes of sarcomas.

Chi2 test.

Patient characteristics Italics refer to molecular subtypes of sarcomas. Chi2 test. (https://www.insee.fr/fr/statistiques/1892086?sommaire=1912926), male patients represented 45% of the patients in this age group. Patients >90 were also less frequently metastatic at initial diagnosis (p = 0·009), even when considering only patients who had a CT scan (data not shown). Prior history of cancers and radiotherapy were no more frequent in patients aged over 90 vs. younger patients (Table 1). Genetic predisposition was observed in none of the 113 patients over 90 vs. 123 reported in the remaining population.

Patient management

The adherence to ESMO clinical practice guidelines (2,3) was then analyzed (Table 2). While biopsy rate was similar, patients aged over 90 had less frequently appropriate pretreatment imaging than patients under 90 (56.6% vs. 75.1%, p ≤ 0.001). This was true also when comparing patients aged >90 to the group of 60–80 or 80–90 (Table 3).
Table 2

Disease management in patients aged above and under 90

Age at diagnosis p
Diagnosis at ≤90 n (%) n = 12,712Diagnosis at >90 n (%) n = 113
Disease management
Biopsy performed before surgeryNS1
Yes8,213 (64·6%)72 (63·7%)
No3,552 (27·9%)32 (28·3%)
Unknown957 (7·5%)9 (8·0%)
Imaging performed before surgery≤0.0011
Yes9,552 (75·1%)64 (56·6%)
No700 (5·5%)14 (12·4%)
Unknown2,470 (19·4%)35 (31·0%)
Neoadjuvant treatment before surgery0.0451
Yes835/3565 (23·4%)3/34 (8·8%)
No2730/3565 (76·6%)31/34 (91·2%)
Total3,56534
Surgery performed≤0.0011
Yes9,988 (78·5%)68 (60·2%)
No1,014 (8·0%)23 (20·4%)
Unknown1,720 (13·5%)22 (19·5%)
Excision margins of first surgery0.091
R03,910 (30·7%)26 (23%)
R12,608 (20·5%)20 (17·7%)
R2990 (7·8%)9 (8%)
Unknown5,214 (41·0%)58 (51·3%)
Reexcision after first surgeryNS1
No11,380 (89·5%)105 (92·9%)
Yes1,342 (10·5%)8 (7·1%)
Excision margins at second surgeryNS1
R0993 (7·8%)5 (4·4%)
R1213 (1·7%)2 (1·8%)
R239 (0·3%)0
Unknown97/13421/8

Chi‐square or Fisher's exact test.

Table 3

Sarcoma patient characteristics and management across age groups

AgeAge at diagnosis (% of the age groups within the series)
0–17 n = 367 (2.9%)18–30 n = 772 (6.0%)31–60 n = 4,451 (34.7%)61–79 n = 5,789 (45.1%)80–90 n = 1,343 (10.5%)>90 n = 113 (0.6%) p value1
Histology
Complex genomics
UPS2 (0.5%)23 (2.9%)427 (9.6%)774 (13.4%)273 (20.3%)40 (35·4%) <0.001
LMS7 (1.9%)44 (5.7%)1,038 (23.3%)1,359 (23.5%)314 (23.4%)16 (14·2%) <0.001
Myxofibrosarcoma2 (0.5%)8 (1.0%)214 (4.8%)445 (7.7%)135 (10.1%)14 (12·4%) <0.001
Angiosarcoma8 (2.2%)35 (4.5%)194 (4.4%)324 (5.6%)105 (7.8%)12 (10·6%) <0.001
DDLPS0 (0%)10 (1.3%)412 (9.3%)892 (15.4%)192 (14.3%)11 (9·7%) <0.001
Undifferentiated sarcoma11 (2.9%)40 (5.2%)245 (13.2%)369 (6.4%)103 (7.7%)10 (8·8%) 0.002
Pleomorphic RMS0 (0.0%)6 (0.8%)23 (0.7%)32 (0.5%)6 (0.4%)1 (0.9%)0.64
GIST 2 (0.5%)20 (2.6%)496 (11.1%)859 (14.8%)113 (8.4%)6 (5.3%) <0.001
Translocation sarcoma
Ewing85 (23.2%)94 (12.2%)93 (2.1%)34 (0.5%)5 (0.4%)1 (0·9%) <0.001
Myxoid LPS7 (1.9%)61 (7.9%)307 (6.8%)99 (1.7%)10 (0.7%)1 (0·9%) <0.001
Synovial sarcoma39 (10.6%)144 (18.6%)322 (7.2%)114 (1.9%)16 (1.2%)1 (0·9%) <0.001
Other/not specified203 (55.3%)287 (37.2%)1,080 (24.2%)488 (8.4%)71 (5.3%)0 (0%) <0.001
Gender
Female153 (41.7%)362 (46.9%)2,355 (52.9%)2,759 (47.7%)654 (48.7%)62 (54.9%) <0.001
Male214 (58.3%)410 (51.3%)2096 (47.1%)3,030 (52.3%)689 (51.3%)51 (45.1%)
Grade
19 (2.5%)68 (8.8%)513 (11.5%)418 (7.2%)78 (5.8%)6 (5.3%) <0.001
228 (7.6%)130 (16.8%)1,081 (24.3%)1,541 (26.6%)353 (26.3%)24 (21.2%)
3136 (37.1%)195 (25.3%)1,219 (27.4%)1,735 (30.0%)515 (38.3%)39 (34.5%)
UNK/NA194 (52.8%)379 (49.1%)1,638 (36.8%)2095 (36.2%)397 (29.6)44 (38.9%)
Depth
Deep176 (47.9%)488 (63.2%)3,523 (79.2%)4,361 (75.3%)894 (66.5%)63 (55.7%) <0.001
Superficial15 (4.1%)70 (9.1%)543 (12.2%)896 (15.5%)349 (26.0%)45 (39.8%)
Unknown176 (48.0%)214 (27.7%)385 (8.6%)532 (9.2%)240 (17.8%)5 (4.4%)
Size in mm (median)69.172.770.275.569.78.0 0.002
Metastatic at diagnosis
Yes96 (26.1%)155 (20.1%)658 (14.7%)831 (14.3%)146 (10.8%)6 (5.3%) <0.001
No233 (63.5%)557 (72.2%)3,406 (76.5%)4,430 (76.5%)1,038 (77.3%)89 (78.8%)
Unknown38 (10.4%)60 (7.8%)387 (8.7%)528 (9.1%)159 (11.8%)18 (15.9%)
Biopsy before
Yes299 (81.5%)555 (71.9%)763 (62.1%)3,690 (63.7%)906 (87.5%)72 (63.7%) <0.001
No35 (9.5%)162 (21.0%)1,365 (30.7%)1,644 (28.4%)346 (25.8%)32 (28.3%)
Unknown33(9.0%)55 (7.1%)323 (7.3%)455 (7.9%)91 (6.8%)9 (8.0%)
Imaging < surgery
Yes311 (84.7%)639 (82.8%)3,406 (76.5%)4,281 (74.0%)915 (68.1%)64 (66.6%) <0.001
No8 (2.2%)29 (3.8%)199 (4.5%)326 (5.8%)128 (9.5%)14 (12.4%)
Unknown48 (13.1%)104 (13.5%)846 (19.0%)1,172 (20.2%)300 (22.3%)35 (31.0%)
Neoadjuvant treat
Yes82 (22.3%)82 (10.6%)310 (7.0%)325 (5.6%)36 (2.7%)3 (2.7%) <0.001
No25 (6.8%)139 (18.0%)981 (22.0%)1,308 (22.6%)277 (20.6%)31 (27.4%)
Total260 (70.8%)551 (71.4%)3,160 (71.0%)4,156 (71.8%)1,030 (76.7%)79 (69.9%)
Surgery in NETSARC
Yes146 (39.8%)291 (37.7%)1,529 (34.4%)1849 (31.9%)351 (26.1%)16 (14.2%) <0.001
No/No surgery/UNK221 (60.2%)481 (62.3%)2,922 (65.6%)3,940 (68.1%)992 (73.9%)97 (85.8%)
Excision margins of last surgery
R0122 (33.2%)307 (39.8%)1,799 (40.4%)2,229 (38.5%)392 (29.2%)29 (25.7%) <0.001
R147 (12.5%)105 (13.6%)721 (16.2%)997 (17.2%)254 (18.9%)18 (15.9%)
R29 (2.5%)42 (5.4%)197 (4.4%)235 (4.1%)58 (4.3%)7 (6.2%)
Other/Unknown189 (51.5%)318 (41.2%)1,734 (38.9%)2,328 (40.2%)639 (47.6%)59 (52.2%)

Bold indicates significant p value (p < 0.05).

Chi2 test.

Disease management in patients aged above and under 90 Chi‐square or Fisher's exact test. Sarcoma patient characteristics and management across age groups Bold indicates significant p value (p < 0.05). Chi2 test. Surgery was less frequently performed in patients over 90 years (60.2% vs. 78.3%, p ≤ 0.001); they also had less frequently neoadjuvant treatment. This did not result in significant differences in terms of resection margins at first or at second surgery (Table 2). Resection rates (Table 2) and final result of the surgical removal (Table 3) were also not significantly different when comparing only patients for whom the R criterion was documented.

Patients over 90 as compared to other age groups

Table 3 presents an analytic description of histologies, clinical presentations and management within different age subgroups. As expected, histological subtypes were extremely different across age groups, in particular across the extremes. It is interesting to note that differences were also observed in the three elder groups, on histologies, depth, grade and metastasis. As compared to the 80–90 years group, histotypes, depth, metastasis at diagnosis and gender of patient with sarcoma aged >90 were different (Table 3). Regarding patient management, compliance to CPGs was the lowest in patients aged >90, together with the final quality of surgery (lowest R0 rate, highest R2 rate), with fewer patients operated in reference centers. Overall a significant trend of decrease of compliance to guidelines, management in reference centers and final quality of surgery over age groups was observed, from the children and adolescent/young adults to the older age group (Table 3).

Relapse and survival

Local progression‐free survival (PFS), metastatic PFS and PFS were not significantly different in the two populations (Figs. 1 a–1 c). Relapse‐free survival of patients aged over 90 vs. those aged 90 or under was also similar when the analysis was conducted only with operated patients (Fig. 1 d). No difference was observed either for local relapse‐free survival not for metastatic relapse‐free survival for operated patients (data not shown). As expected, overall survival was worse in patients >90 (Fig. 1 e). Importantly, the overall survival of patients who were not operated was significantly worse in patients aged over 90 vs. younger patients (9.9 vs. 27.1 months, p < 0.001) with no patient alive at 3 years in the older group vs. 40% in the younger one (Fig. 1 f). Using Cox model, with grade, size, depth, site, gender, presentation to a multidisciplinary team (MDT) prior to treatment5 and surgery in expert center12 and age >90 as tested variables, age >90 was not identified as an independent prognostic factor for either relapse‐free survival or PFS (data not shown).
Figure 1

Progression, relapse and survival in sarcoma patients aged over or under 90. (a) Local progression‐free survival of patients aged over 90 (green) and younger (blue). (b) Metastatic progression‐free survival of patients aged over 90 (green) and younger (blue). (c) Progression‐free survival of patients aged over 90 (green) and younger (blue). (d) Relapse‐free survival of operated patients aged over 90 (green) and younger (blue). (e) Overall survival of patients aged over 90 (green) and younger (blue). (f) Overall survival of nonoperated patients aged over 90 (green) and younger (blue). [Color figure can be viewed at wileyonlinelibrary.com]

Progression, relapse and survival in sarcoma patients aged over or under 90. (a) Local progression‐free survival of patients aged over 90 (green) and younger (blue). (b) Metastatic progression‐free survival of patients aged over 90 (green) and younger (blue). (c) Progression‐free survival of patients aged over 90 (green) and younger (blue). (d) Relapse‐free survival of operated patients aged over 90 (green) and younger (blue). (e) Overall survival of patients aged over 90 (green) and younger (blue). (f) Overall survival of nonoperated patients aged over 90 (green) and younger (blue). [Color figure can be viewed at wileyonlinelibrary.com]

Discussion

This analysis of a 6‐year nationwide registry of incident sarcoma patients includes over 12,000 patients with 113 (0.9%) patients aged >90. It identifies for the first time‐specific pathological and clinical characteristics of sarcomas diagnosed in patients over 90: these are almost exclusively sarcomas with complex genomics, more frequently superficial tumors, from limb sites or head and neck sites. Despite an obvious difference in life duration, sarcoma patients aged over 90 do not have a higher frequency of previous radiotherapy, previous cancers, and none genetic predisposing condition. Patients aged over 90 are also less frequently metastatic at initial presentation than the younger sarcoma patient population and relative to the sex ratio at this age in the French population, more frequently males. These clinicopathological and clinical specificities of sarcomas occurring at an older age are unexpected and had not been previously recognized to our knowledge. It is interesting to observe that these characteristics are not equally shared by the groups aged 60–80 or 80–90, but quite characteristic of this age group. Sarcomas occurring in higher age may result in more from accumulation of external oncogenic events over the lifetime; limb and head and neck sites may suggest exposure to the sun as risk factors to be tested. It is particularly notable that less than 3% of sarcoma in this population was translocation‐related sarcomas. Less adequate management is offered to patients with STS over 90, in particular regarding pretreatment imaging and surgery. Of note, oncogeriatric assessment13 is not part of the NETSARC data set, and it is likely that coexisting conditions have largely contributed to these differences with younger patients. However, when patients over 90 are treated with surgery according to clinical practice guidelines (within NETSARC, the ESMO guidelines are used as reference),2, 3 relapse‐free survival and PFS remain similar to that of the younger population in univariate and also multivariate analysis where classical prognostic factors are introduced.2, 3, 5 This points to the need not to undertreat patients, including those aged over 90, and to adopt the classical CPGs for sarcoma management in patients at all age when oncogeriatric status allows. As expected, the overall survival of sarcoma patients aged over 90 is shorter than that of younger patients. Median overall survival is 25 months in this population of patients over 90 (whose median age is 92), an outcome which must be compared to the 50 months life expectancy for the general French population at the age of 90.14 To the best of our knowledge, this is the first series reporting on the different biology and natural history of patients with sarcomas occurring at a very high age. Sarcoma occurring after 90 has a specific biology and natural history, but not intrinsically a worse cancer‐specific prognosis. If fit according to geriatric assessment, this patient population, should be treated according to the general CPGs for sarcomas. It is reasonable to infer a similar statement for younger geriatric sarcoma patients.
  11 in total

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Authors:  Barry S Taylor; Jordi Barretina; Robert G Maki; Cristina R Antonescu; Samuel Singer; Marc Ladanyi
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2.  Comprehensive geriatric assessment in the older cancer patient: coming of age in clinical cancer care.

Authors:  Cynthia Owusu; Nathan A Berger
Journal:  Clin Pract (Lond)       Date:  2014

3.  Soft tissue and visceral sarcomas: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors: 
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Authors: 
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5.  Underrepresentation of patients 65 years of age or older in cancer-treatment trials.

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Journal:  N Engl J Med       Date:  1999-12-30       Impact factor: 91.245

6.  New insights in sarcoma oncogenesis: a comprehensive analysis of a large series of 160 soft tissue sarcomas with complex genomics.

Authors:  Laure Gibault; Gaëlle Pérot; Frédéric Chibon; Sarah Bonnin; Pauline Lagarde; Philippe Terrier; Jean-Michel Coindre; Alain Aurias
Journal:  J Pathol       Date:  2010-10-25       Impact factor: 7.996

7.  Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity.

Authors:  Frédéric Chibon; Pauline Lagarde; Sébastien Salas; Gaëlle Pérot; Véronique Brouste; Franck Tirode; Carlo Lucchesi; Aurélien de Reynies; Audrey Kauffmann; Binh Bui; Philippe Terrier; Sylvie Bonvalot; Axel Le Cesne; Dominique Vince-Ranchère; Jean-Yves Blay; Françoise Collin; Louis Guillou; Agnès Leroux; Jean-Michel Coindre; Alain Aurias
Journal:  Nat Med       Date:  2010-06-27       Impact factor: 53.440

8.  Soft Tissue Sarcoma, Version 2.2016, NCCN Clinical Practice Guidelines in Oncology.

Authors:  Margaret von Mehren; R Lor Randall; Robert S Benjamin; Sarah Boles; Marilyn M Bui; Ernest U Conrad; Kristen N Ganjoo; Suzanne George; Ricardo J Gonzalez; Martin J Heslin; John M Kane; Henry Koon; Joel Mayerson; Martin McCarter; Sean V McGarry; Christian Meyer; Richard J O'Donnell; Alberto S Pappo; I Benjamin Paz; Ivy A Petersen; John D Pfeifer; Richard F Riedel; Scott Schuetze; Karen D Schupak; Herbert S Schwartz; William D Tap; Jeffrey D Wayne; Mary Anne Bergman; Jillian Scavone
Journal:  J Natl Compr Canc Netw       Date:  2016-06       Impact factor: 11.908

9.  Incidence of sarcoma histotypes and molecular subtypes in a prospective epidemiological study with central pathology review and molecular testing.

Authors:  Françoise Ducimetière; Antoine Lurkin; Dominique Ranchère-Vince; Anne-Valérie Decouvelaere; Michel Péoc'h; Luc Istier; Philippe Chalabreysse; Christine Muller; Laurent Alberti; Pierre-Paul Bringuier; Jean-Yves Scoazec; Anne-Marie Schott; Christophe Bergeron; Dominic Cellier; Jean-Yves Blay; Isabelle Ray-Coquard
Journal:  PLoS One       Date:  2011-08-03       Impact factor: 3.240

10.  Improved survival using specialized multidisciplinary board in sarcoma patients.

Authors:  J-Y Blay; P Soibinet; N Penel; E Bompas; F Duffaud; E Stoeckle; O Mir; J Adam; C Chevreau; S Bonvalot; M Rios; P Kerbrat; D Cupissol; P Anract; F Gouin; J-E Kurtz; C Lebbe; N Isambert; F Bertucci; M Toumonde; A Thyss; S Piperno-Neumann; P Dubray-Longeras; P Meeus; F Ducimetière; A Giraud; J-M Coindre; I Ray-Coquard; A Italiano; A Le Cesne
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  2 in total

1.  Aberrant PTEN, PIK3CA, pMAPK, and TP53 expression in human scalp and face angiosarcoma.

Authors:  Huiying Wan; Dingding Zhang; Weimin Hu; Zhen Xie; Qiu Du; Qiongrong Xia; Taishen Wen; Haiping Jia
Journal:  Medicine (Baltimore)       Date:  2021-07-30       Impact factor: 1.817

2.  Angiosarcoma: A population-based cancer registry descriptive study of 45 consecutive cases diagnosed between 1979 and 2016.

Authors:  Morgane Colas; Aurélie Gérazime; Dragos Popescu; Eve Puzenat; Loic Chaigneau; Anne Sophie Woronoff; Anne Sophie Dupond; Charlée Nardin; François Aubin
Journal:  Rare Tumors       Date:  2020-12-14
  2 in total

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