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Clinical

Trial Update

The

Cancer

Genome Atlas

Project

on Muscle-invasive

Bladder

Cancer

Seth

P.

Lerner

a , * ,

John Weinstein

b ,

David Kwiatkowski

c , d ,

Jaegil

Kim

d ,

Gordon

Robertson

e ,

Katherine

A. Hoadley

f ,

Rehan

Akbani

b ,

Chad

Creighton

a ,

on

behalf

of

the

TCGA Muscle

Invasive

Bladder

Cancer

Analysis Working

Group

a

Baylor

College

of Medicine,

Houston,

TX,

USA;

b

MD

Anderson

Cancer

Center,

Houston,

TX,

USA;

c

Dana

Farber

Cancer

Center,

Boston, MA,

USA;

d

Broad

Institute,

Boston, MA, USA;

e

British

Columbia

Cancer

Agency,

Vancouver,

Canada;

f

University

of North

Carolina,

Chapel Hill, NC, USA

The

Cancer Genome Atlas

(TCGA)

project

in

bladder

cancer

reported

the

integrated

genomic

analysis

of

the

first

131 patients

in 2014

[1]

. We analyzed

chemotherapy-naive,

muscle-invasive

urothelial

cancers

for

somatic

mutation,

DNA copynumber variants,mRNAandmicroRNA expression,

protein and phosphorylated protein expression

(RPPA), DNA

methylation,

integrated

with

comprehensive

clinical

and

pathologic data.

This muscle-invasive

cohort has

one

of

the

highest

somatic

mutation

rates,

with

mean

and

median

somatic

mutation

rates

of

7.7

and

5.5

per

megabase,

respectively,

similar

to

adenocarcinoma

and

squamous

cell

carcinoma

of

the

lung

and

melanoma.

We

reported

32

significantly mutated

genes

(SMGs)

involved

in multiple

pathways

including

cell

cycle

regulation

(93%

of

tumors),

chromatin

remodeling

(76%),

DNA

damage

response,

tran-

scription

factors,

and

RAS/RTK/PI3K

(72%)

signaling

path-

ways.

Four

SMGs—ARID1a, MLL2,

KDM6a,

and

EP300—are

involved

in epigenetic

regulation and were mutated

in up

to

one-quarter

of

the

tumors.

One-third

of

the

tumors were

characterized by

cancer-specific DNA hypermethylation. An

additional 281

tumors

are

in

the pipeline, and

the

complete

data

set will be

analyzed beginning

in

early

2015. We have

preliminary mutation

data

on

238

samples

(including

the

first

131),

and

six

additional

SMGs

have

been

identified.

Several of the 38 SMGs have not been described previously

in

bladder

cancer.

Combining

copy

number

variation

and

somatic muta-

tions,

69%

of

tumors

harbor

one

potentially

actionable

target or more. Three mutation cluster

(I)

‘‘

Focally amplified

’’

enriched

in

focal

copy

number

alterations

(eg.

3p

loss/

PPARG) and MLL2 mutations;

(II)

Enriched

for TP53 and RB1

mutations, E2F3 amplifications;

and

(III)

Papillary histology

,

FGFR3 mutant

CDKN2A-deficient

Unsupervised

clustering

of

mRNA,

miRNA,

and

RPPA

suggests

four

expression

clusters,

three

of which were

fully

characterized

as

follows.

Cluster

I

showed

papillary mor-

phology and FGFR3 dysregulation. Clusters

I and

II expressed

high

HER2

(

ERBB2

)

and

estrogen

receptor-

b

signaling

signature,

sharing

features

with

luminal

A

breast

cancer.

Cluster

III

showed

similarities

to

basal-like

breast

and

squamous

cell

head

and

neck

carcinomas.

Cluster

III

had

a

high cancer stem cell content, similar

to

the basal phenotype

reported

earlier by Volkmer

et

al

[2]

and Ho

and

colleagues

[3] .

Cluster

III was

also

enriched with

tumors with mixed

squamous

histology,

similar

to

the

subtype

described

by

Sjodahl

et

al

[4] ,

which

had

the worst

prognosis.

Cluster

III

also

correlated with

other

TCGA

subtypes

including

basal-

like

breast

carcinoma,

head

and

neck

squamous

cell

carcinoma,

and

lung

squamous

cell

carcinoma

[1] .

This

has

been

confirmed with

a

recent

cluster

of

cluster

TGCA

pan-

cancer

analysis, which

stratified

the

bladder

cancer

cohort

into

three subtypes. Two were similar

to

lung adenocarcino-

ma

and

head

and

neck

and

lung

squamous

carcinoma,

and

the

third,

which

contained

the

majority

of

tumors,

was

unique

to

bladder

cancer

and

had

the

best

prognosis

compared with

the

two

other

subtypes

[5]

.

We have now

integrated

the mutation

subtypes

and

the

expression

clusters

for

234

tumors.

Expression

cluster

I

is

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 ) 9 4 – 9 5

available

at

www.sciencedirect.com

journal

homepage:

www.europeanurology.com

* Scott Department

of Urology,

Baylor

College

of Medicine Medical

Center,

7200

Cambridge, MC

BCM380, Houston,

TX

77030, USA.

E-mail

address:

slerner@bcm.edu

(S.P.

Lerner).

http://dx.doi.org/10.1016/j.euf.2014.11.002

2405-4569/

#

2015

European

Association

of Urology.

Published

by

Elsevier

B.V.

All

rights

reserved.