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Hindawi Publishing CorporationSarcomaVolume 2012, Article ID 704872, 10 pagesdoi:10.1155/2012/704872
Review Article
A Meta-Analysis of Osteosarcoma Outcomes inthe Modern Medical Era
Daniel C. Allison, Scott C. Carney, Elke R. Ahlmann, Andrew Hendifar, Sant Chawla,Alex Fedenko, Constance Angeles, and Lawrence R. Menendez
Division of Orthopedic Oncology, Department of Orthopedic Surgery, Keck School of Medicine, Los Angeles County Medical Center,University of Southern California, 1520 San Pablo Street, Suite 2000, Los Angeles, CA 90033, USA
Correspondence should be addressed to Daniel C. Allison, [email protected]
Received 18 October 2011; Accepted 20 December 2011
Academic Editor: Jose Casanova
Copyright © 2012 Daniel C. Allison et al. This is an open access article distributed under the Creative Commons AttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properlycited.
Four decades ago, specialized chemotherapy regimens turned osteosarcoma, once considered a uniformly fatal disease, into adisease in which a majority of patients survive. Though significant survival gains were made from the 1960s to the 1980s, furtheroutcome improvements appear to have plateaued. This study aims to comprehensively review all significant, published dataregarding osteosarcoma and outcome in the modern medical era in order to gauge treatment progress. Our results indicate thatpublished survival improved dramatically from 1960s to 1980s and then leveled, or in some measures decreased. Recurrence ratesdecreased in the 1970s and then leveled. In contrast, published limb salvage rates have increased significantly every recent decadeuntil the present. Though significant gains have been made in the past, no improvement in published osteosarcoma survivalhas been seen since 1980, highlighting the importance of a new strategy in the systemic management of this still very lethalcondition.
1. Introduction
Osteosarcoma was once considered such a fatal conditionthat early studies measured outcome in terms of “months tometastasis” rather than actual survival. Shortly after the turnof the last century, Coventry measured osteosarcoma survivalat 5% [1]. In the 1950s, neither surgery, nor radiation, norrudimentary chemotherapy regimens significantly impactedsurvival, with the largest study of the decade citing a 22% 5-year survival [1]. With the advent of higher dose, multiagentchemotherapy regimens, 5-year survival steadily increased toas high as 81.6% in the 1970s [2].
However, casual inspection of published data indicatesthat since the 1970s, survival and perhaps other outcomemeasures have yet to further improve. As surgical techniquesand implants have evolved, chemotherapeutic agents usedtoday seem to be wholly similar to those used thirty yearsago.
A meta-analysis of the world’s data regarding osteosar-coma and outcomes would help us accurately gauge our
current state of treatment and not just speculate onimprovements or stasis based on isolated recent studies andanecdotal evidence. Several studies have attempted similarmeta-analyses; however, their scales were much smaller (thelargest of which contained 142 series) and their scopes werenarrower (focusing only on specific therapies) than ourintended breadth [3–5]. The purpose of our study is to thor-oughly inspect the expansive literature regarding prognosisof osteosarcoma since the inception of journal publication,in order to analyze the treatment trends across the globe inregards to time. Thus, we aim to determine treatmentprogress, as well as the current state of affairs, so that we mayin turn accurately gauge our progress and appropriately di-rect our efforts.
2. Materials and Methods
A comprehensive and complete MEDLINE search was per-formed, using only the search terms “osteosarcoma” and“survival.” Articles not written or translated into English,
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2 Sarcoma
animal or in vitro studies, and articles not accessible throughthe University of Southern California Norris Medical Librarywere excluded. All articles describing outcome data were in-cluded, including clinical trials, case series, databases, letters,and reviews. General case series with less than 20 totalpatients were excluded. All studies including nonclassic orlower grade osteosarcoma variants as well as secondary oste-osarcoma or recurrent osteosarcoma were excluded, as werehead and neck cases. Pelvic and axial tumors were included.Studies that measured survival in terms of odd years (e.g.,7-year survival) and, for studies published after 1980, thoseseries which measured outcomes in less than 5-year termswere also excluded. Metastatic series were included, however,they were left apart from the general studies and analyzedseparately.
Both overall survival (OS) and disease-free survival(DFS) of 5 years or more were recorded from each study,focusing on 5- and 10-year survival numbers when possible.Local recurrence and limb salvage rates were also measured,if data was given. Each study was then assigned to specifictime intervals (decades), which were determined by thedescribed study period of each series. If a series spanned twodecades, it was placed in the decade in which a majority ofthe study time occurred, rounding to the more recent decadeif the division was equal. If a series spanned more than twodecades, it was placed in a separate table for direct review(Table 1), and not included in the decade-to-decade analysis.If the article did not mention the time period, the study wasplaced into the decade preceding that of publication. If astudy was divided according to decade or time period, eacharm was placed into its separate decade category accordingly.
Of 3,948 initial series found in the search for “osteosar-coma” and “survival,” 3,684 did not meet the study inclusioncriteria, leaving a total of 264 series in the study. Datafrom these series were then combined in weighted fashion(according to the number of patients in each study) in orderto obtain mean values for each respective outcome measure.Nonmetastatic cases were evaluated in terms of survival (OS(5, 10 year) and DFS (3, 5, and 10 year)) recurrence, and limbsalvage rates, and analyzed according to decade. Articles thatrecorded specific subtypes (metastatic cases, pelvis, and limbsalvage) were also analyzed separately according to decadewith regard to 5-year OS. The data from metastatic serieswere not included in the general survival, limb salvage, andrecurrence data. Along each outcome measure, these meanswere then compared according to the t-test for proportions,set to a 95% confidence interval.
3. Results
3.1. General Survival. Among the series of nonmetastatic,high-grade osteosarcoma patients, the most commonly mea-sured statistic, 5-year OS was measured in 47,227 patientsthroughout the series. Figure 1 shows the 5-year OS trendfrom the beginning of the twentieth century to present day.Survival remained stable at approximately 20% from the1910s to the 1960s, with a sudden surge to approximately60% into the 1980s where it stabilized again. The increasein 5-year OS from the 1960s to the 1970s (P < 0.0001) and
from the 1970s to the 1980s (P < 0.0001) was statisticallysignificant; however, when comparing the 1980s to the 2000s,no further statistically significant increase in published 5-year OS was recorded (P = 0.66). Ten-year OS increased by37.6% from the 1960s to the 1970s (P < 0.0001), but thenshowed no difference when comparing the 2000s to the 1990s(P = 0.28) (Figure 2).
Disease-free survival was first recorded in the 1950sstudies, starting with 3-year DFS measures. Three-year DFSincreased significantly from the 1950s to the 1960s (P = 0.05)and from the 1960s to the 1970s (P < 0.0001), but then failedto improve after the 1970s (Figure 3). The published 5-yearDFS increased by 8.6% from the 1970s to the 1980s (P <0.0001) and 2.6% from the 1980s to the 1990s (P = 0.0007),but then significantly decreased by 11.2% from 1990 to 2000(P < 0.0001) (Figure 4). Similarly 10-year DFS remained sta-ble in the 1970s, 1980s, and 1990s at roughly 60%, onlyto statistically decrease to 44% in the 2000s (P < 0.0001)(Figure 5).
3.2. Local Control and Limb Salvage. Recurrence measureswere initially published in the 1970s, and have fluctuatedfrom decade to decade since (Figure 6). No significantimprovement has been seen in published recurrence ratesfrom the 1980s to the 2000s (P = 0.36).
Limb salvage rates have improved significantly from dec-ade to decade ever since the 1970s, improving by 16.2% fromthe 1970s to 1980s (P = 0.01), by 37% from the 1980s to the1990s (P < 0.0001), and by 7.3% from the 1990s to the 2000’s(P < 0.0001) (Figure 7).
3.3. Survival in Specific Osteosarcoma Populations. Starting inthe 1970’s, cases of metastatic osteosarcoma were analyzed inseparate series. Five-year survival rates in metastatic seriesimproved from the 1970’s to the 1980’s by 5.7%, thoughthis change was not statistically significant. Interestingly, 5-year survival rates in this population have decreased everydecade ever since, with no statistical change in survival whencomparing the 2000’s to the 1970’s (P = 0.21) (Figure 8).
When looking specifically at series of pelvic osteosarcomapatients, survival rates have also declined every decade sincetheir first recording in the 1980’s; however these drops werenot statistically significant (Figure 9).
In specifically documented limb salvage series, 5-year OSrates improved significantly from the 1990’s to the 2000’s by11.1% (P = 0.04) and from 1970’s to the 2000’s by 23.1%(P < 0.0001) (Figure 10).
4. Discussion
Advances in chemotherapy regimens in the seventies lead toextraordinary increases in survival of osteosarcoma patientswhich, combined with improved surgical technology andtechnique, also lead to significant improvements in limbsalvage. Physicians anecdotally refer to the lack of survivalprogress in the latter end of the last century, yet few studiesprobe into the extensive world literature. The few that at-tempt to address this issue narrow their reviews to control-lable numbers: as few as 8 in one review [5]. Anninga et al.
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Sarcoma 3
Ta
ble
1:O
steo
sarc
oma
outc
ome
stu
dies
span
nin
gm
ore
than
two
deca
des
(OS:
over
alls
urv
ival
,DFS
:dis
ease
free
surv
ival
).
Cat
egor
yJo
urn
alLe
adau
thor
Pu
bye
arFo
cus
Sou
rce
date
sn
DFS
3yr
sD
FS5
yrs
DFS
10yr
sO
S5
yrs
OS
7yr
sO
S10
yrs
Rec
urr
-en
ceL
imb
salv
age
Gen
eral
Hu
man
Path
Gaff
ney
2006
Gen
eral
1900
–196
646
518
.0%
Cal
Med
Hig
inbo
tham
1965
Gen
eral
1925
–195
513
018
.5%
16.2
%C
OR
RJo
hn
son
1971
Gen
eral
1928
–196
650
10.0
%14
.0%
36.0
%C
ance
rO
hn
o19
71G
ener
al19
30–1
960
4117
.1%
Can
JSu
rgH
ueb
ert
1979
Gen
eral
1930
–197
795
16.0
%C
anJ
Surg
Hu
eber
t19
79G
ener
al19
30–1
977
9516
.0%
JBJS
Br
Fost
er20
07G
ener
al19
33–1
959
3121
.0%
20.0
%A
cta
Ch
irSc
and
Popp
e19
68G
ener
al19
38–1
964
102
18.0
%J
Surg
On
col
Shri
khan
de19
77G
ener
al19
41–1
970
139
15.1
%J
Surg
On
col
Rao
1977
Gen
eral
1941
–197
013
915
.1%
CO
RR
Wei
ss19
78G
ener
al19
44–1
975
5010
.0%
JBJS
Am
Pri
ce19
75G
ener
al19
46–1
972
125
12.0
%C
ance
rJa
ffe
1972
Gen
eral
1950
–197
278
17.0
%JB
JSA
mB
leye
r19
82G
ener
al19
52–1
973
1941
.0%
CO
RR
Bro
stro
m19
82G
ener
al19
52–1
974
5719
.0%
Eu
rJ
Surg
On
col
Pyl
kkan
en19
97G
ener
al19
58–1
987
2946
.7%
Act
aO
rth
opB
elg
Mes
ken
s19
93G
ener
al19
62–1
987
5141
.0%
CO
RR
Tun
n20
04G
ener
al19
70–1
997
7870
.0%
Eu
rJ
Can
cer
Bac
ci20
05G
ener
al19
72–1
999
114 8
57.0
%52
.0%
66.0
%57
.0%
Ped
Peri
nat
Epi
dPa
rkes
2010
Gen
eral
Pre
1978
NS
12.0
%Pe
dPe
rin
atE
pid
Park
es20
10G
ener
alPo
st19
77N
S45
.0%
Can
cer
Kag
erL
2010
Gen
eral
1979
–200
427
48.0
%51
.0%
40.7
%A
cta
Ch
irSc
and
Popp
e19
68G
ener
al19
38–1
964
102
18.0
%
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4 Sarcoma
Ta
ble
1:C
onti
nu
ed.
Cat
egor
yJo
urn
alLe
adau
thor
Pu
bye
arFo
cus
Sou
rce
date
sn
DFS
3yr
sD
FS5
yrs
DFS
10yr
sO
S5
yrs
OS
7yr
sO
S10
yrs
Rec
urr
-en
ceL
imb
salv
age
Age
Can
cer
Mir
abel
lo20
09A
llA
ges
1973
–200
434
8 237
.0%
32.0
%
0–24
185 5
62.0
%
25–5
997
458
.0%
60+
653
24.0
%Pe
diat
rB
lood
Can
cer
Aba
te20
100–
519
72–1
999
2060
.0%
6–40
110 6
53.8
%52
.1%
Pedi
atr
Blo
odC
ance
rW
orch
2010
0–
519
73–2
006
3851
.9%
6–19
126 8
67.3
%
JC
ance
rR
esC
linO
nco
lH
arti
ng
2010
0–10
1980
–200
07
50.0
%46
.5%
10–2
1.23
554
.0%
46.0
%21
–40
110
68.5
%55
.0%
40+
5640
.0%
37.0
%J
Ch
inM
edA
ssoc
Hsi
eh20
09P
read
oles
cen
t19
80–2
006
1160
.6%
Ado
lesc
ent
3966
.7%
JC
linO
nco
lLo
ngh
i20
0865
+19
61–2
006
2945
.0%
An
nSu
rgO
nco
lO
kada
2004
50+
1972
–200
255
58.6
%J
Pedi
atr
Hem
atol
On
col
Bac
ci20
050–
1219
72–1
999
317
60.0
%67
.0%
13–4
081
958
.0%
65.0
%C
OR
RC
arsi
2002
40+
1977
–199
847
32.5
%
Trea
tmen
t
Eu
rJ
Can
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er19
78Lu
ng
Irra
diat
ion
1950
–197
310
69.
0%A
rch
Ort
hop
Trau
ma
Surg
Kaw
ai19
96W
ith
Ch
emot
her
apy
1965
–199
332
47.0
%
Wit
hou
tC
hem
oth
erap
y9
38.0
%
Can
cer
Gu
pta
2009
Pro
xim
alhu
mer
us,
delt
oid-
spar
ing
rese
ctio
n19
78–2
005
2377
.0%
JSu
rgO
nco
lK
im20
09In
adve
rtan
tcu
rett
age
w/o
trea
tmen
tde
lay
1985
–200
520
90.0
%89
.4%
Con
trol
Gro
up
4076
.8%
83.9
%R
adio
logy
Ph
illip
s19
69P
reop
Rad
iati
on19
45–1
965
2326
.0%
Surg
ery
On
ly11
9.0%
Int
JR
adia
tO
nco
lBio
lP
hys
DeL
aney
2005
Res
ecti
on19
80–2
002
3651
.9%
73.9
%32
.3%
No
Surg
ery
525
.0%
25.0
%60
.0%
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Sarcoma 5
Ta
ble
1:C
onti
nu
ed.
Cat
egor
yJo
urn
alLe
adau
thor
Pu
bye
arFo
cus
Sou
rce
date
sn
DFS
3yr
sD
FS5
yrs
DFS
10yr
sO
S5
yrs
OS
7yr
sO
S10
yrs
Rec
urr
-en
ceL
imb
salv
age
Tum
orfe
atu
re
Pedi
atri
cB
lood
Can
cer
Yacl
in20
08C
-erb
-2+
1976
–200
724
22.4
%32
.3%
C-e
rb-2−
3250
.0%
62.1
%
Clin
Tran
slO
nco
lG
onza
lez-
Bila
labe
itia
2009
CO
SS19
77–2
003
170 2
48.9
%58
.9%
Hig
hLD
H14
43.0
%N
orm
alLD
H52
65.0
%Pe
diat
rB
lood
Can
cer
Fran
ke20
11Lo
calr
ecu
rren
ce19
80–2
003
3827
.0%
34.0
%Pe
diat
rB
lood
Can
cer
Lee
2009
Low
Ris
k19
85–2
006
9881
.6%
81.6
%93
.8%
93.8
%In
term
edia
teR
isk
128
59.0
%57
.8%
76.5
%74
.6%
Hig
hR
isk
6234
.0%
31.6
%47
.0%
36.5
%E
ur
JC
ance
rG
rim
er20
05Lo
calR
ecu
rren
ce19
76–2
001
5741
.0%
Loca
tion
Can
cTr
eat
Res
Bie
lack
2009
Ext
rem
ity
1980
–200
524
6 475
.0%
70.0
%
JBJS
Br
Gri
mer
1999
Pelv
is19
71–1
996
3618
.0%
Spin
eJ
Sch
oen
feld
2010
Spin
e19
82–2
008
2631
.0%
Jpn
JC
linO
nco
lLe
e20
10Fl
atB
one
1985
–200
617
39.6
%51
.5%
Ext
rem
ity
424
61.4
%72
.9%
Eu
rJ
Can
cer
Car
eSh
enoy
2008
Hu
mer
us
1950
–197
518
35.0
%
All
Site
s11
2 655
.0%
66.0
%
CO
RR
Sch
nei
drba
uer
2007
Fibu
la19
19–2
000
3653
.0%
41.0
%A
nn
Surg
On
col
Dae
cke
2005
Han
dan
dFo
rear
m19
77–2
000
3365
.4%
86.2
%N
edT
ijdsc
hr
Gen
eesk
dH
am20
00Pe
lvis
1957
–199
562
15.0
%O
nco
logy
Mat
suo
2005
Pelv
isN
S50
29.5
%
Met
asta
tic
JC
linO
nco
lLo
ngh
i20
08A
ge>
65yr
s19
61–2
006
140.
0%A
nn
Surg
On
col
Oka
da20
04A
ge>
50yr
s19
72–2
002
725
.0%
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6 Sarcoma
5-ye
ar o
vera
ll su
rviv
al
Decade
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1910
s(n=
128)
1920
s(n=
560)
1930
s(n=
651)
1940
s(n=
1611
)
1950
s(n=
4,21
5)
1990
s(n=
22,1
83)
1980
s(n=
10,4
55)
1970
s(n=
4,18
5)
1960
s(n=
2,15
2)
2000
s(n=
1,21
0)
d
Figure 1: Osteosarcoma 5-year overall survival.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
10-y
ear
over
all s
urv
ival
1960s(n = 452)
1970s(n = 763)
1980s 1990s(n = 2,952)
2000s(n = 635)
Decade
(n = 2,539)
Figure 2: Osteosarcoma 10-year overall survival.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
3-ye
ar d
isea
se-f
ree
1970s(n = 446)
Decade
1990s(n = 91)
2000s(n = 417)
1980s(n = 1061)
1950s(n = 33)
1960s(n = 233)
Figure 3: Osteosarcoma 3-year disease-free survival.
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Sarcoma 7
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
5-ye
ar d
isea
se-f
ree
surv
ival
1970s(n = 3,846)
Decade
1990s(n = 9,987)
2000s(n = 513)
1980s(n = 7,216)
1950s(n = 145)
1960s(n = 20)
Figure 4: Osteosarcoma 5-year disease-free durvival.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1970s(n = 687)
Decade
1990s(n = 1384)
2000s(n = 165)
1980s(n = 1876)
10-y
ear
dise
ase-
free
su
rviv
al
Figure 5: Osteosarcoma 10-year disease-free survival.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1970s(n = 69)
Decade
1990s(n = 3,279)
2000s(n = 1,688)
1980s(n = 2,331)
Rec
urr
ence
Figure 6: Osteosarcoma recurrence rates.
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8 Sarcoma
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1970s(n = 68)
Decade
1990s(n = 8,616)
2000s(n = 1510)
1980s(n = 694)
1960s(n = 142)
Lim
b sa
lvag
e
Figure 7: Osteosarcoma limb salvage rates.
Met
asta
tic
5-ye
ar o
vera
ll su
rviv
al
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1970s(n = 202)
Decade
1990s(n = 778)
2000s(n = 1,701)
1980s(n = 251)
Figure 8: Metastatic osteosarcoma 5-year overall survival.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Decade
1990s(n = 84)
2000s(n = 21)
1980s(n = 156)
Pel
vis
5-ye
ar o
vera
ll su
rviv
al
Figure 9: Pelvic osteosarcoma 5-year overall survival.
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Sarcoma 9
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1970s(n = 145)
Decade
1990s(n = 179)
2000s(n = 190)
1980s(n = 1,022)
1960s(n = 132)
Lim
b sa
lvag
e 5-
year
ove
rall
surv
ival
Figure 10: Osteosarcoma 5-year overall survival among limb salvage cases.
recently published the previously most comprehensive re-view, but looked at specific treatment regimens and excludedother prognostic, observational, and review studies [3]. Weaimed to sort through the extensive osteosarcoma literatureto arrive at basic evidence-based interpretations regardingthe current status of osteosarcoma management, as it relatesto our past. Such information will help us determine themost appropriate steps to take as an osteosarcoma-treatingcommunity as we progress into the new century.
Despite its expansive scale, our study certainly has im-portant limitations. Our numbers are based on publishedstudies, which may not accurately represent outcomes in thecommunity as a whole. Many successive studies may containduplicate patients, skewing the data in this direction. Accord-ing to our exclusion criteria, we may have excluded impor-tant contributing data, especially with the removal of stud-ies with odd-year survival measures. Nevertheless, the USCNorris Medical Library is extensively complete, and the ex-clusion criteria narrow, decreasing the likelihood of missingsignificant data. Furthermore, our retrieved number ofstudies was so high that the addition of this data is veryunlikely to change any calculation. Furthermore, the analysisof the extensive amount of data could pose limitations. Thehomogenous blending of different survival curves from het-erogenous populations could skew outcome results. The in-corporation of numerous studies with large numbers ofpatients helps mitigate this risk for error. Not all of the pre-dominately survival studies gave data on recurrence or limbsalvage rates. These numbers were weighted averaged accord-ing to decade; however the exact number and subsequentpower of their information is less than that of survival; how-ever, even with these lower numbers, the numbers were stillhigh enough to note significant differences. Combining allosteosarcoma patient populations together may also skewresults, as certain patient populations may have different out-comes (i.e., axial versus appendicular cases). In order toaddress this limitation, we analyzed specific population seriesseparately in order to show their survival data (Figures 8, 9,and 10). Combining single center and multicenter studies
also poses a limitation, increasing the associated variablessuch as treatment regimens and outcome measures. Again,the very high numbers retrieved in our study (47,227 patientsin the 5 year overall survival data) help mitigate these lim-itations.
Our study confirms suspicions regarding the lack ofstatistical improvement in osteosarcoma survival over thelast thirty years. In fact, DFS at the 3-year, 5-year, and 10-yearmarks have shown recent decreases over the last two decades.After steep improvements up until the 1970’s, overall survivalat the 5 and 10-year marks has simply plateaued with lack ofstatistical improvements. Similarly, recurrence rates havefluctuated in the modern era, without significant improve-ment. This lack of improvement is also true in subsetpopulations like pelvic metastatic cases, with actual decreasesin survival in both of these populations over the last twodecades, though these decreases did not reach statisticalsignificance. Of note, limb salvage rates as well as survivalrates in limb salvage populations, have continued to climb,increasing significantly since the 1970’s on both accounts.This progress may indicate improvements in biopsy, respec-tive techniques, and limb salvage reconstructive methods.
In a time of unprecedented technological growth andadvance, systemic cancer treatment clearly lags behind. Thislag is further accentuated by the tremendous surge in survivalof osteosarcoma until the 1980’s. Our study indicates thatthis stagnation is not limited to a single outcome measure,but across all outcomes ranging from survival to recurrence.
After noting the problem, our next charge is to find theunderlying cause. Given the expense of drug development,trialing, and now even marketing, the relatively low numbersassociated with osteosarcoma, especially in relation to vis-ceral malignancy, renders the orphan condition less popularamong pharmaceutical companies that have an obligation toshareholders. Furthermore, the lack of profit from cure ofdisease as opposed to prolongation of disease likely lessensthe industry’s quest for a cure. Unfortunately, in the currentsystem, economic incentives do not always align with patientwellness incentives. A similar problem was addressed with
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10 Sarcoma
osteosarcoma in the early 1970’s with the touching storyof Terry Fox, which highlighted the lack of efforts put intoosteosarcoma research and drug development. The patient’sstory, which became a feature film, helped spawn an un-precedented interest and motivation in curing the diseaseworldwide. Perhaps efforts to show the public the plights ofthe often young patients struck with this disease will lead to asecond surge in interest. Another potential cause of this lackof progress could be complacency among those who treatsarcomas. While many oncologists have cited the lack ofprogress in the treatment of non-sarcoma cancers in the past,opponents would cite the survival jump of osteosarcoma as asign of cancer fighting progress. The idea that osteosarcomais a bastion of chemotherapeutic advance may have decreasedthe scientific sense of urgency in finding a cure.
Regardless of the underlying cause, which may be verydifficult to ever determine, a change in strategy must be em-ployed if we are to change our results. The paradigm shiftfrom the use of cytotoxic agents to molecularly targetedagents may be a source of positive change. The theory oftumor stem cells explaining tumor behavior is an exampleof potential fundamental changes in the way we understandthese tumors, which lead to fundamental changes in treat-ment. Using the gains in the treatment of other condi-tions that gain high level industry attention (e.g., RANK-Linhibitors for skeletally related events in metastatic diseaseand in osteoporosis) would be another potential area forimprovement. Increased media attention in the form of newsoutlets, publications, or even entertainment forums woulddirect attention and money to the cause. Empowering aca-demic centers to research, develop, and even market them-selves would bring competition into the chemotherapy mar-ketplace and focus on outcome measures and potentials forlong-term economic gain in the form of cure that short-sighted companies may not currently see. Increased regula-tion regarding the use of human subjects in research may bean issue, but the unfortunate, but real number of patientswith metastases may serve as a pool for such studies, and thuswould be the first to benefit.
5. Conclusions
Our study confirms suspicions about the stagnation ofprogress in systemic osteosarcoma management in recentdecades. Limb salvage rates have continued to improve sig-nificantly throughout the modern era to the present day;however, after tremendous improvement in the 1970’s, sur-vival measures have failed to demonstrate any further in-creased since the 1980’s. After 30 years of lack of progress, weshould reevaluate our treatment paradigms and think alongdifferent lines, especially in regard to the current players be-hind drug and medical technology development as well asour own attitudes toward disease treatment and outcomes wedeem appropriate.
Conflict of interserts
None of the authors have any financial conflicts of interest inregard to this study.
References
[1] M. B. Coventry and D. C. Dahlin, “Osteogenic sarcoma: acritical analysis of 430 cases,” The Journal of Bone and JointSurgery, vol. 39, no. 4, pp. 741–758, 1957.
[2] G. Rosen, “Preoperative (neoadjuvant) chemotherapy for oste-ogenic sarcoma: a ten year experience,” Orthopedics, vol. 8, no.5, pp. 659–664, 1985.
[3] J. K. Anninga, H. Gelderblom, M. Fiocco et al., “Chemother-apeutic adjuvant treatment for osteosarcoma: where do westand?” European Journal of Cancer, vol. 47, no. 16, pp. 2431–2445, 2011.
[4] S. K. Carter, “The dilemma of adjuvant chemotherapy forosteogenic sarcoma,” Cancer Clinical Trials, vol. 3, no. 1, pp. 29–36, 1980.
[5] A. M. Davis, R. S. Bell, and P. J. Goodwin, “Prognostic factorsin osteosarcoma: a critical review,” Journal of Clinical Oncology,vol. 12, no. 2, pp. 423–431, 1994.
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