Back

T cell transcriptional and receptor signatures predict response to telomerase vaccination in prostate cancer

Hoye, E.; Natkin, R.; Sajnani, K.; Engedal, N.; Simensen, J. E.; Hakkola, S.; Kiviaho, A.; Ballesio, F.; Cecchetto, T.; Ellingsen, E. B.; Westhrin, M.; Hovig, E.; Mathelier, A.; Visakorpi, T.; Tammela, T. L.; Murtola, T. J.; Eerola, S.; Nykter, M.; Lilleby, W.; Urbanucci, A.

2026-05-30 oncology
10.64898/2026.05.25.26354038 medRxiv
Show abstract

While prostate cancer (PC) is defined as immunologically cold, limiting the efficacy of immune checkpoint inhibitors, therapeutic vaccination targeting tumor-associated antigens represents an attractive strategy to promote disease control in low volume metastatic patients. The UV1 cancer vaccine is based on immunization with tripeptide fragments from human telomerase reverse transcriptase (hTERT) and a phase II clinical trial demonstrated induction of robust T cell response in men with de novo metastatic castration-sensitive prostate cancer (mCSPC). Comparison with long-term survival data of non-metastatic CSPC patients as reference showed that despite metastatic disease at diagnosis, UV1-treated patients who mounted an early vaccine-induced immune response achieved progression-free and overall survival comparable to non-metastatic patients. We examined biological determinants of clinical benefit following UV1 vaccination including tumor transcriptome and T cell receptor (TCR) profiling from circulating and tissue resident T-cells of the 22 men enrolled. Analysis of diagnostic and post-UV1 treatment biopsies revealed that low baseline exhaustion of T cells and higher CD8+ T cell abundance are associated with early immune response to the vaccine and longer survival. Moreover, we identified specific TCR motifs relative to early responders, that can indicate potential benefit from UV1 vaccination. These findings indicate that baseline intratumoral T cell exhaustion state and repertoire shape responsiveness to hTERT vaccination and long-term outcome. Overall, our study underlines how baseline immune profiling may be used as a companion biomarker to predict mCSPC patients most likely to benefit from therapeutic vaccination.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Clinical Cancer Research
64 papers in training set
Top 0.1%
18.6%
2
Journal for ImmunoTherapy of Cancer
75 papers in training set
Top 0.2%
9.8%
3
British Journal of Cancer
49 papers in training set
Top 0.1%
6.8%
4
Frontiers in Immunology
638 papers in training set
Top 2%
6.3%
5
Nature Communications
5641 papers in training set
Top 27%
5.5%
6
International Journal of Cancer
49 papers in training set
Top 0.2%
4.3%
50% of probability mass above
7
Frontiers in Oncology
103 papers in training set
Top 0.9%
4.1%
8
Cancers
213 papers in training set
Top 2%
2.5%
9
International Journal of Radiation Oncology*Biology*Physics
25 papers in training set
Top 0.2%
2.4%
10
Communications Medicine
113 papers in training set
Top 1%
2.4%
11
OncoImmunology
24 papers in training set
Top 0.3%
2.1%
12
Scientific Reports
3612 papers in training set
Top 51%
1.9%
13
Biology
45 papers in training set
Top 0.1%
1.7%
14
Cell Reports Medicine
153 papers in training set
Top 2%
1.7%
15
iScience
1154 papers in training set
Top 20%
1.5%
16
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.4%
1.5%
17
JNCI: Journal of the National Cancer Institute
19 papers in training set
Top 0.2%
1.4%
18
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 31%
1.4%
19
European Journal of Cancer
11 papers in training set
Top 0.2%
1.3%
20
Journal of Translational Medicine
57 papers in training set
Top 1%
1.1%
21
Cancer Cell
42 papers in training set
Top 1.0%
1.1%
22
International Journal of Molecular Sciences
494 papers in training set
Top 11%
1.1%
23
Journal of Clinical Investigation
179 papers in training set
Top 5%
1.0%
24
PLOS ONE
5266 papers in training set
Top 61%
0.8%
25
BMC Cancer
67 papers in training set
Top 2%
0.8%
26
The Prostate
11 papers in training set
Top 0.1%
0.8%
27
eLife
5828 papers in training set
Top 68%
0.6%
28
Cell Reports
1498 papers in training set
Top 29%
0.6%
29
PeerJ
308 papers in training set
Top 13%
0.6%