Table of Contents Table of Contents
Previous Page  953 1030 Next Page
Information
Show Menu
Previous Page 953 1030 Next Page
Page Background

1.

Introduction

Of the estimated 429 000 people to be diagnosed with

bladder cancer in the industrialized world each year,

70–80% will have nonmuscle invasive bladder cancer

(NMIBC)

[1,2] .

Half of all NMIBC patients will experience

tumor recurrence within 5 yr, and 20–30% will progress to

secondary MIBC

[3] .

Ultimately, as many as 10–15%

of patients presenting with NMIBC will die of bladder

cancer

[4] .

Previous investigations into NMIBC genetics have been

limited by their inability to comprehensively profile tumors

for multiple cancer-associated genes

[5]

. More recently,

MIBC were comprehensively investigated by The Cancer

Genome Atlas (TCGA) and other groups using next-

generation sequencing (NGS), leading to the identification

of potential biomarkers and targets for therapeutic inter-

vention

[6,7] .

However, very few NMIBC tumors have been

examined with NGS methods to date, and these investiga-

tions have been limited by a lack of clinical annotation, the

absence of restaging transurethral resection (TUR) to ensure

appropriate tumor staging, or a failure to differentiate

between primary and recurrent tumors

[8–11]

.

In this study, we examined primary treatment-naive

index tumors from a cohort of patients with NMIBC using a

massively parallel, targeted, exon capture-based NGS

platform to define the prevalence of genetic alterations

and their potential clinical implications.

2.

Patients and methods

2.1.

Patients and samples

Targeted NGS with a 341 or updated 410 cancer-associated gene panel

was performed on formalin-fixed paraffin embedded sections of

treatment-naive index tumors along with matched germline DNA for

105 patients with NMIBC as part of an Institutional Review Board-

approved protocol (Supplementary Fig. 1, Supplementary Table 1,

Supplementary data)

[12]

. A board-certified genitourinary pathologist

reviewed representative hematoxylin and eosin slides to confirm grade,

stage, and urothelial histology. All patients underwent evaluation and

TUR by a urologic oncologist at Memorial Sloan Kettering Cancer Center

(MSK). All tumors profiled were newly diagnosed and untreated. Patients

who received perioperative mitomycin or other adjuvant perioperative

therapies were excluded. All high-grade T1 (HGT1) tumors had restaging

TUR and confirmation of uninvolved detrusor muscle. Treatment and

management was at the discretion of the treating urologic oncologist.

Patients managed with TUR were followed at MSK with cystoscopy and

urine cytology every 3 mo for the 1st yr, then every 3–6 mo. Recurrence

was defined as histological proven cancer on biopsy or TUR. See

Supplementary data for additional details.

For comparison purposes, we also evaluated the frequency of

genomic alterations seen in 40 pretreatment index tumors in patients

with primary MIBC who were sequenced with MSK-Integrated Mutation

Profiling of Actionable Cancer Targets (MSK-IMPACT) on the same

Institutional Review Board-approved protocol and 98 MIBC specimens

from patients in the TCGA study who were reported to have no prior

history of NMIBC (Supplementary data).

2.2.

Statistical analysis

Alterations in oncogenes were deemed significant if they were recurrent

or known functional missense mutations or amplifications (Supplemen-

tary data). Alterations in tumor suppressor and DNA damage repair

genes were deemed significant if truncating mutations (nonsense,

frameshift indels), recurrent missense mutations, or homozygous

deletions were present (Supplementary data). Fisher’s exact tests were

used to analyze categorical associations. Kruskal-Wallis and Wilcoxon

tests were used for continuous variables. Cox regression modeling was

used to determine the association between genomic alterations and

recurrence after bacillus Calmette-Gue´rin (BCG). The Kaplan-Meier

method and log-rank test were used for estimations of recurrence free

survival. A

p

value of

<

0.05 was considered statistically significant. All

analyses were conducted using R v.3.3.1.

( https://cran.r-project.org/bin/ windows/base/old/3.3.1/

)

3.

Results

3.1.

Patient demographics and treatment

To characterize the genomic landscape of NMIBC, we

analyzed 105 tumors across the disease spectrum compris-

ing low-grade Ta (LGTa;

n

= 23), high-grade Tis (HGTis;

n

= 12), high-grade Ta (HGTa;

n

= 32), and HGT1 (

n

= 38) for

alterations in 341 cancer-associated genes. Information on

patient demographics and treatments are listed in

Table 1

,

Supplementary Table 2, and Supplementary Table 3. The

median follow-up for the NMIBC cohort managed by TUR

with or without adjuvant intravesical therapy (

n

= 100) was

24.4 mo, with recurrences occurring in 46 patients.

Treatment following resection for the 23 low-grade tumors

included surveillance only (48%), intravesical mitomycin

(39%), and intravesical BCG (13%). The 82 high-grade

tumors were treated with intravesical BCG (81%), observa-

tion (12%), or immediate radical cystectomy in five patients

(4 = pT1N0, 1 = pTaN0). Additional details on the NMIBC

cohort and the MIBC samples used for comparison purposes

are available in the Supplementary data, Supplementary

Table 2, and Supplementary Table 3.

associated with increased mutational load, which may have therapeutic implications for

BCG immunotherapy and ongoing trials of systemic checkpoint inhibitors.

ARID1A

muta-

tions were associated with an increased risk of recurrence after BCG therapy. Whether

ARID1A

mutations represent a predictive biomarker of BCG response or are prognostic in

NMIBC patients warrants further investigation.

Patient summary:

Analysis of frequently mutated genes in

superficial

bladder cancer

suggests potential targets for personalized treatment and predictors of treatment response,

and also may help develop noninvasive tumor detection tests.

#

2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.

E U R O P E A N U R O L O G Y 7 2 ( 2 0 1 7 ) 9 5 2 – 9 5 9

953