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according to the manufacturer’s protocol. Beadchips were scanned using

a HiScan system (Illumina, San Diego, CA, USA) and analysis of array data

was performed using GenomeStudio software (version 2011.1, Illumina).

Samples were normalized by the cubic spline algorithm, and probes with

all signals lower than two times the mean background level were

excluded, leaving 21 675 probes for further analysis.

2.5.

Multivariate modeling and univariate analysis

Principal component analysis (PCA), an unsupervised projection method,

was used to create an overview of the variation in data and to detect

clusters and trends among metastasis samples and expressed genes

[8] .

Data were mean-centered and scaled to unit variance before

analysis. Models were validated via sevenfold cross-validation. Multi-

variate statistical analyses were performed in SIMCA version 14.0 (MKS

Umetrics AB, Umea˚ , Sweden).

Univariate analysis was applied to compare subgroups identified by

PCA with respect to differences in gene expression and clinical

characteristics. Groups were compared using the Mann-Whitney

U

-test

for continuous variables and the

x

2

for categorical variables. Univariate

statistical analyses were performed using SPSS 23.0 software (SPSS,

Chicago, IL, USA).

2.6.

Functional enrichment analysis

Functional enrichment analysis was generated via Ingenuity Pathway

Analysis (IPA;

www.qiagen.com/ingenuity

). IPA core analysis was used to

identify altered canonical pathways. The significance of associations

between lists of differently expressed genes and canonical pathways were

assessed using (1) the ratio of differentially expressed genes (molecules)

that map to a specific pathway,

[14_TD$DIFF]

given

[15_TD$DIFF]

in relation to the total number of

molecules included in the canonical pathway and (2) Fisher’s exact test to

determine the probability that the relationship between the molecules in

the data set and the canonical pathway is explained by chance.

Upstream analysis was used to identify regulators with a probability

of being responsible for the changes in gene expression observed, by

calculating an overlap

p

value with Fisher’s exact test and an activation

z

-score. Details of the IPA core analysis can be obtained at

http://pages. ingenuity.com/IngenuityDownstreamEffectsAnalysisinIPAWhitepaper. html

. Both upregulated and downregulated identifiers were submitted as

parameters for the analysis. IPA core analysis default settings were used,

but limited to the human knowledge base.

2.7.

Real-time RT-PCR

Samples of 200 ng of total RNA were reversed transcribed using a

Superscript VILO cDNA synthesis kit (Invitrogen, Stockholm, Sweden) in a

total volume of 10

m

l. Subsequent qRT-PCR analysis was performed using

TaqMan assays for quantification of

HLA

-

A

,

TAP1

, and

PSMB9

mRNA levels

(Hs01058806_g1, Hs00388675_m1, and Hs00160610_m1; Life Technol-

ogies, Stockholm, Sweden) on an ABI Prism 7900HT sequence detection

system according to the manufacturers’ protocols. Each sample was run in

duplicate and adjusted for the corresponding

RPL13A

mRNA level

(Hs01578912_m1, Life Technologies) using the ddCt method. Statistical

differences in mRNA levels between groups were identified using the

Kruskal-Wallis test followed by theMann-Whitney

U

-test. Paired samples

were compared using the Wilcoxon signed-rank test.

2.8.

Immunohistochemistry

Tissue sections were deparaffinized in xylene and rehydrated in a

graded ethanol series. Immunohistochemistry was performed using an

Table 1 – Clinical characteristics for patients with prostate cancer or other malignancies who underwent surgery for metastatic spinal cord

compression

Prostate cancer

Other malignancies

b

Castration-resistant

a

Not treated

Not

[11_TD$DIFF]

treated

Patients (

n

)

54

11

14

Age at diagnosis (yr)

69 (63-74)

76 (64-82)

67 (61-79)

Age at metastasis surgery (yr)

72 (67-79)

76 (64-82)

67 (61-79)

Serum PSA at diagnosis (ng/ml)

72 (36-530)

690 (82-2500)

Serum PSA at metastasis surgery (ng/ml)

290 (85-780)

690 (82-2500)

Gleason score at diagnosis

6

4 (7.4)

1 (9.1)

7

19 (35)

1 (9.1)

8–10

20 (37)

1 (9.1)

Not available

11 (20)

8 (73)

Bicalutamide before surgery

Yes

24 (44)

No

30 (56)

Chemotherapy before surgery

c

Yes

9 (17)

No

45 (83)

Radiation before surgery

d

Yes

8 (15)

No

46 (85)

Follow-up after metastasis surgery (mo)

5.9 (2.0-15)

37 (24-72)

7.0 (3.6-16)

Data are presented as median (25th–75th percentile) for continuous variables and as number (precentage) for categorical variables. PSA = prostate-specific

antigen.

a

Castration-resistant patients had disease progression after long-term androgen deprivation therapy including surgical ablation, luteinizing hormone–releasing

hormone/GNRH agonist therapy, and therapy with anti-androgens (bicalutamide).

b

Other malignancies included kidney (

n

= 3), colorectal (

n

= 2), lung (

n

= 1), liver (

n

= 1), unknown adenocarcinoma (

n

= 3), myeloma (

n

= 2), lymphoma (

n

= 1),

and sarcoma (

n

= 1).

c

Chemotherapy included taxotere in six cases, estramustine in two cases, and taxotere, carboplatin, and etoposide in one case.

d

Radiation towards operation site.

E U R O P E A N U R O L O G Y 7 1 ( 2 0 1 7 ) 7 7 6 – 7 8 7

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