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Cancer immunotherapy is based on the fact that cancer

cells are immunogenic, and the aim of immunotherapy is to

strengthen the endogenous antitumor response via immu-

nologic interventions

[15]

. Tumors develop in an immune-

suppressed environment in which cytotoxic CD8

+

T cells

and NK cells are repressed by inhibitory factors expressed

by tumor cells, Tregs, and MDSCs, and in which MDSCs and

type M2 macrophages instead promote tumor growth via

secretion of factors that stimulate angiogenesis and tumor

cell invasion

[15,16]

. Most cancer immunotherapies are

developed to strengthen cytotoxic T and NK cell activity via

tumor vaccination or to inhibit immune checkpoint path-

ways such as the CTLA-4 or PDCD1/PD-L1 pathways

[15]

.

Very little is known about the immune cell profile in PC

[18_TD$DIFF]

metastases. In primary PC, low tumor infiltration of T cells,

B cells, and monocytes has been observed in advanced

disease and associated with poor prognosis

[17] ,

although

recent studies highlight tumor infiltration of specific

lymphocyte/monocyte subtypes, such as FoxP3

+

Tregs,

CD163

+

M2 macrophages, and S100A9-positive inflamma-

tory cells, in lethal PC

[18–22] .

High blood fractions of Tregs

and MDSC have been related to poor prognosis in patients

with CRPC

[23]

, as have a whole-blood–based mRNA profile

mirroring high monocyte/low lymphocyte numbers

[24]

. Overall, this points to the rationale for using

immunotherapy for treatment of PC. Immunotherapies

that are being tested in the clinic for treatment of PC include

sipuleucel-T (dendritic cell–based vaccine using prostatic

acid phosphatase as antigen), Prostvac (viral-based vaccine

using PSA as antigen), GVAX (whole-cell–based vaccine),

tasquinimod (inhibitor of S100A9 and MDSC), and immune

checkpoint inhibitors such as ipilimumab (inhibitor of

CTLA-4) and pembrolizumab (inhibitor of PD-1)

[25]

. Results from the present study highlight heterogene-

ities among CRPC bone metastases that might be important

to consider when choosing immunotherapy for individual

PC patients. For instance, the inverse correlation between

expression of MHC class I and AR-regulated genes probably

diminishes response to antigen-directed vaccines targeting

AR-stimulated genes (ACPP and PSA) in the majority of CRPC

cases with high AR activity (Supplementary Figure 4).

Instead, the high MHC class I expression, immune cell

infiltration, and levels of CTLA4, PDCD1, and S100A9

observed in non–AR-driven metastases suggest testing of

immune checkpoint inhibitors and Tasquinimod specifical-

ly in this subgroup of patients. However, the current study

includes a limited number of clinical CRPC bone metastases,

so the subgroup of 20% non–AR-driven cases is particularly

small. The results need to be verified in larger cohorts,

preferably including patients in trials for evaluation of

immune-strengthening therapies. Therapy-predicting mar-

kers in addition to low serum PSA levels could be MHC class

I expression in tumor cells and the immune cell profile in

metastasis tissue and blood. In patients with multimeta-

static disease, several metastases should be studied for

optimal information.

The molecular drivers behind the subgroups of CRPC

bone metastases observed are not known and need to

be examined further. We observed high levels of the AR

co-regulators FOXA1 and HOXB13, which might be

responsible for programming the AR cistrome in AR-driven

bone metastases

[26]

, while the function of the prostate-

derived Ets factor SPDEF in PC is more controversial

[27,28]

. The low immune-cell infiltration observed in AR-

driven metastases might be explained in part by low levels

of LYVE1 (Supplementary Table 4) and thus low predicted

numbers of lymphatic vessels, recently demonstrated as a

critical determinant of the metastatic process in colorectal

cancer through reduced immune cytotoxicity

[29] .

Low levels of the monocyte/lymphocyte chemoattractant

CCL5 and predicted low levels of pro-inflammatory

cytokines such as IFNG, TNF, CSF2, NFKB, and IL4

could obviously contribute as well. In non–AR-driven

metastases, the predicted activity of TGF

b

1, IL5, and other

anti-inflammatory factors might inhibit T-cell activity,

possibly via activation of Tregs and MDSC as discussed

above (Supplementary Table 4). The reduced expression of

MHC class I antigen–processing molecules in clinical PC

might be caused by structural defects, or possibly by

epigenetic, transcriptional, or post-transcriptional regula-

tion

[30]

. If so, there might be a possibility of restoringMHC

class I expression with IFNG or drugs inhibiting methyl-

ation or histone deacetylation

[11,31,32] .

The inverse

correlation observed between MHC class I expression and

AR activity is in line with previous results showing

increased lymphocyte density in human prostate after

ADT

[33,34]

and with the general effects of androgens in

suppressing both adaptive and innate immune responses

[35]

. Taken together, these findings support the rationale

for treating PC patients with combinations of ADT and

immunotherapy

[36]

.

5.

Conclusions

In conclusion, the majority of CRPC bone metastases show

high AR activity, high metabolic activity, low MHC class I

expression and lownumbers of infiltrating immune cells. By

contrast, a subgroup of metastases shows low AR and

metabolic activity, but high MHC class I expression and

immune cell infiltration. Targeted therapies for these two

CRPC subgroups should be explored.

Author contributions:

Pernilla Wikstro¨m had full access to all the data in

the study and takes responsibility for the integrity of the data and the

accuracy of the data analysis.

Study concept and design:

Wikstro¨m.

Acquisition of data:

Bovinder Ylitalo, Egevad, Bergh, Wikstro¨m.

Analysis and interpretation of data:

Bovinder Ylitalo, Thysell, Lundholm,

Wikstro¨m.

Drafting of the manuscript:

Wikstro¨m.

Critical revision of the manuscript for important intellectual content:

Bovinder Ylitalo, Thysell, Jernberg, Lundholm, Crnalic, Egevad, Stattin,

Widmark, Bergh.

Statistical analysis:

Thysell, Wikstro¨m.

Obtaining funding:

Wikstro¨m.

Administrative, technical, or material support:

Jernberg, Crnalic, Stattin,

Widmark, Bergh.

Supervision:

None.

Other:

None.

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