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1.

Introduction

Although

the

natural

history

of

urothelial

carcinoma

of

the

bladder

(UCB)

from

radical

cystectomy

(RC)

to

disease

recurrence

(DR)

has

been

intensively

investigated

[1–7]

,

that

of

patients

who

have

experienced

DR

after

RC

for

UCB

still

remains

poorly

understood.

Indeed,

it

has

been

previously

reported

that

poor

patient

Karnofsky

perfor-

mance

status

(KPS) and

the presence of visceral metastases

(VMs) (ie,

the Bajorin criteria) are associated with decreased

survival

in

patients

with metastatic

urothelial

carcinoma

(UC)

treated with systematic cisplatin-based chemotherapy

and

could

be

used

to

stratify

patients

into

risk

groups

[8] .

Recent

studies have

reported

that

a

shorter

time

to DR

after RC

is associated with unfavorable outcomes

[9,10]

.

Im-

proved understanding of the natural history of such patients

and accurate prognostication after DR

could help

in patient

counseling

and

in

the

design

of

clinical

trials.

The

aim

of

the

study was

therefore

threefold.

First, we

assessed

the

prognostic

value

of

the

Bajorin

criteria

in

a

large

multi-institutional

cohort

of

patients

who

experi-

enced DR after RC

for UCB. Second, we evaluated additional

clinical, pathologic, and/or biologic

factors at

the

time of DR

in

these

patients

for

an

association

with

cancer-specific

outcomes. Third, we

aimed

to

create

a multivariable model

based on

the

identified

variables

that were

associated with

cancer-specific

outcomes

and

to

compare

discrimination

versus

the

Bajorin

risk

grouping.

2.

Materials

and methods

2.1.

Patient

selection

This

study

was

approved

by

institutional

review

boards,

with

all

participating

sites

providing

the

necessary

data-sharing

agreements

before

initiation.

A

total

of

17

international

centers

provided

data.

The

database was

closed

in October

2012.

Our multi-institutional

cohort

consisted

of 967 patients who

experi-

enced DR after RC

for UCB between 1979 and 2012. Of these, we

identified

372 patients with complete data on all variables for analysis. Patientswere

excluded

even when missing

only

one

variable. We

consider

this

step

important

to

avoid

selection

bias. None

of

the

patients

had

evidence

of

distant metastases

at

the

time

of RC. All

patients underwent

an RC with

bilateral pelvic

lymph node dissection and urinary diversion as described

elsewhere

[4]

.

No

patient

received

neoadjuvant

chemotherapy

or

pre-

and/or postoperative

radiation

therapy

to

the bladder.

2.2.

Pathologic

evaluation

Tumors

were

staged

according

to

the

American

Joint

Committee

on

Cancer

Union

Internationale

Contre

le

Cancer

TNM

classification,

7th

edition

[11]

.

Tumor

grade was

assessed

according

to

the

1998 World

Health

Organization/International

Society

of

Urologic

Pathology

con-

sensus

classification

[12]

.

2.3.

Follow-up

regimen

Follow-up was

performed

according

to

institutional

protocols.

Postop-

eratively, patients were seen at

least every 3–4 mo

in

the first year, every

6 mo

in

the

second year,

and

annually

thereafter. Diagnostic

imaging of

the

upper

tract

(eg,

ultrasonography

and/or

intravenous

pyelography,

computed

tomography

of

the

abdomen/pelvis

with

intravenous

contrast)

and

chest

radiography

were

performed

annually

and

when

indicated

clinically. DR was

defined

as

a

tumor

relapse

in

the

operative

field,

regional

lymph nodes, and/or distant metastases. DR was managed

at

the patient’s

and

treating physician’s discretion

(ie,

administration of

salvage chemotherapy). Perioperative mortality

(ie, death within 30 d of

surgery)

was

censored

at

time

of

death

for

bladder

cancer–specific

survival

analyses.

2.4.

Statistical

analysis

For

statistical

analysis, we

only used patients with

complete data

on

all

variables

(

n

= 372). Our

first

aim was

to

describe

the

association

of

the

Bajorin

criteria with

cancer-specific mortality

(CSM)

[8]

.

Patients were

thus

categorized

into

three

risk

groups

determined

by

KPS

and/or

the

presence

of VMs

(no

risk

factors

[RFs]:

KPS

80%

and

no VMs;

one

RF:

KPS

<

80%

or

presence

of

VMs;

two

RFs

if

both).

Kaplan-Meier

curves

were

generated

(log

rank).

Our

next

aim was

to

identify

additional

characteristics

associated

with

cancer-specific

survival

(CSS)

in

these

patients.

There were

four

characteristics

of

interest

( Table 1 )

:

clinical

characteristics,

character-

istics

at

RC,

biologic

characteristics

at

DR,

and

treatment-related

Design,

setting, and participants:

We

identified 967 patients with UCB who underwent

RC at 17 centers between 1979 and 2012 and experienced DR. Of

these, 372 patients had

complete

data we

used

for

analysis.

Outcomes measurements

and

statistical

analysis:

Univariable

Cox

regressions

analysis

was performed. We used a

forward stepwise selection process

for our final multivariable

model.

Results

and

limitations:

Within

a median

follow-up

of

18 mo,

266

patients

died

of

disease.

Cancer-specific

survival

at

1

yr was

79%,

76%,

and

47%

for

patients with

no

(

n

= 105),

one

(

n

= 180),

and

two

(

n

= 87)

risk

factors

(

p

<

0.001;

c-index:

0.604).

On

multivariable

analyses, we

found

that

KPS

<

80%,

higher

American

Society

of

Anesthe-

siologists

score, anemia,

leukocytosis, and

shorter

time

to DR

(all

p

values

<

0.034) were

independently

associated with

increased

CSM.

The

combination

of

time

to DR

and KPS

resulted

in

improved

discrimination

(c-index:

0.694).

Conclusions:

We

confirmed

the

prognostic

value

of

KPS

and

VMs

in

patients with

DR

following RC

for UCB. We also

found several other clinical variables

to be associated with

worse CSM. We developed a model

for predicting survival after DR

inclusive of

time

to DR

and

KPS

assessed

at DR.

If

validated,

this model

could

help

clinical

trial

design.

Patient

summary:

We

developed

a model

to

predict

survival

following

disease

recur-

rence

after

radical

cystectomy

for urothelial

carcinoma of

the bladder, based on

time

to

disease

recurrence

and

Karnofsky

performance

status.

#

2015 European Association

of Urology. Published by Elsevier B.V. All

rights

reserved.

Bladder

cancer

Transitional

cell

carcinoma

Metastasis

Disease

recurrence

Prognosis

Survival

Model

E U R O P E A N

U R O L O G Y

F O C U S

1

( 2 0 1 5

)

7 5 – 8 1

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