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scores. Moreover, Shore et al

[10]

reported that compared

with bicalutamide, a significantly higher proportion of

enzalutamide-treated patients demonstrated improvement

at any time during the study in seven FACT-P scales. The

HRQoL benefits of enzalutamide in our analyses occurred

despite a higher unadjusted proportion of patients

experiencing fatigue on enzalutamide (28% vs 20% with

bicalutamide)

[10]

.

In longitudinal analyses, there is no universally accepted

method for handling missing data as each method requires

assumptions about the nature of missing values. Formally

distinguishing between MAR and missing not at random is

not trivial and relies on untestable assumptions. A primary

analysis alone is insufficient when there are substantial,

nonrandom missing data. In TERRAIN, 40–55% of patients

discontinued treatment because of disease progression. For

the primary analysis, we used MMRM, which assumes that

missing data follow the pattern of patients who remained on

study. For the sensitivity analysis, we used PMM with

sequential modelling with multiple imputation when

imputation varies by reason for treatment discontinuation,

which considers that data may not be MAR. For FACT-P total

score, FAPSI-8, and EWB, results were similar using both

methods

( Fig. 1

), suggesting that our findings were not

dependent on the nature of missing data for these outcomes.

Our results are consistent with the placebo-controlled

PREVAIL trial

[3,7]

and confirm the HRQoL benefits of

enzalutamide in chemotherapy-naı¨ve patients with mCRPC.

HRQoL benefits in chemotherapy-naı¨ve mCRPC populations

have also been reported with abiraterone

[15]

. Furthermore,

enzalutamide and abiraterone have shown HRQoL benefits

in mCRPC after chemotherapy

[6,8]

. Moreover, TERRAIN is

the first study to directly compare two active treatments in

mCRPC, therefore reporting, for the first time, the effects of

two active mCRPC treatments on HRQoL.

HRQoL analyses can reinforce objective measures of

survival and radiographic progression

[3] ;

improved HRQoL

has been linked to better clinical outcomes in mCRPC

[15]

. In mCRPC, delaying HRQoL decline is an important

therapeutic objective in line with Prostate Cancer Clinical

Trials Working Group recommendations

[17]

.

Pain is also a significant predictor of survival in mCRPC

[18] .

While pain progression increasedwith both treatments,

patients on enzalutamide experienced a smaller increase

versus bicalutamide at 61wk, with a significant difference for

pain interference. There was no between-treatment differ-

ence in time to pain progression. In the PREVAIL trial in

chemotherapy-naı¨ve patients withmCRPC

[7]

, enzalutamide

delayed progression in BPI-SF pain at its worst and in average

pain severity and interference versus placebo.

Study limitations include the exploratory nature of the

HRQoL analyses, lack of multiple comparisons corrections,

and unknown effects of anxiety/depression on HRQoL.

Depression and anxiety in cancer

[19]

can be associated

[(Fig._3)TD$FIG]

Fig. 3 – Adjusted mean change (standard error) from baseline in Brief Pain Inventory, Short-form scores (mixed model repeated measures [MMRM] and

pattern mixture model [PMM] analyses for pain at its worst (Item 3), pain severity composite score, and pain interference composite score.

D

is the

adjusted mean (standard error) change from baseline with enzalutamide versus bicalutamide at wk 61 (MMRM or PMM).

E U R O P E A N U R O L O G Y 7 1 ( 2 0 1 7 ) 5 3 4 – 5 4 2

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