Histomic and transcriptomic features of MRI‐visible and invisible clinically significant prostate cancers are associated with prognosis

Author:

Lehto Timo‐Pekka K.123ORCID,Pylväläinen Juho4ORCID,Sandeman Kevin5ORCID,Kenttämies Anu4ORCID,Nordling Stig1ORCID,Mills Ian G.67,Tang Jing38ORCID,Mirtti Tuomas13910ORCID,Rannikko Antti2310ORCID

Affiliation:

1. Department of Pathology University of Helsinki and Helsinki University Hospital Helsinki Finland

2. Department of Urology University of Helsinki and Helsinki University Hospital Helsinki Finland

3. Research Program in Systems Oncology, Faculty of Medicine University of Helsinki Helsinki Finland

4. Department of Radiology University of Helsinki and Helsinki University Hospital Helsinki Finland

5. Department of Pathology Region Skåne Malmö Sweden

6. Nuffield Department of Surgical Sciences University of Oxford Oxfordshire UK

7. Patrik G Johnston Centre for Cancer Research Queen's University of Belfast Belfast UK

8. Department of Biochemistry and Developmental Biology University of Helsinki Helsinki Finland

9. Department of Biomedical Engineering, School of Medicine Emory University Atlanta Georgia USA

10. iCAN‐Digital Precision Cancer Medicine Flagship Helsinki Finland

Abstract

AbstractMagnetic resonance imaging (MRI) is increasingly used to triage patients for prostate biopsy. However, 9% to 24% of clinically significant (cs) prostate cancers (PCas) are not visible in MRI. We aimed to identify histomic and transcriptomic determinants of MRI visibility and their association to metastasis, and PCa‐specific death (PCSD). We studied 45 radical prostatectomy‐treated patients with csPCa (grade group [GG]2‐3), including 30 with MRI‐visible and 15 with MRI‐invisible lesions, and 18 men without PCa. First, histological composition was quantified. Next, transcriptomic profiling was performed using NanoString technology. MRI visibility‐associated differentially expressed genes (DEGs) and Reactome pathways were identified. MRI visibility was classified using publicly available genes in MSK‐IMPACT and Decipher, Oncotype DX, and Prolaris. Finally, DEGs and clinical parameters were used to classify metastasis and PCSD in an external cohort, which included 76 patients with metastatic GG2‐4 PCa, and 84 baseline‐matched controls without progression. Luminal area was lower in MRI‐visible than invisible lesions and low luminal area was associated with short metastasis‐free and PCa‐specific survival. We identified 67 DEGs, eight of which were associated with survival. Cell division, inflammation and transcriptional regulation pathways were upregulated in MRI‐visible csPCas. Genes in Decipher, Oncotype DX and MSK‐IMPACT performed well in classifying MRI visibility (AUC = 0.86‐0.94). DEGs improved classification of metastasis (AUC = 0.69) and PCSD (AUC = 0.68) over clinical parameters. Our data reveals that MRI‐visible csPCas harbor more aggressive histomic and transcriptomic features than MRI‐invisible csPCas. Thus, targeted biopsy of visible lesions may be sufficient for risk stratification in patients with a positive MRI.

Funder

Academy of Finland

Jane ja Aatos Erkon Säätiö

Syöpäsäätiö

Publisher

Wiley

Subject

Cancer Research,Oncology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Is MRI ready to replace biopsy during active surveillance?;European Radiology;2024-07-04

2. Should systematic prostatic biopsies be discontinued?;Prostate Cancer and Prostatic Diseases;2024-06-27

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