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Extensive germline-somatic interplay contributes to prostate cancer progression through HNF1B co-option of TMPRSS2-ERG

Author

Listed:
  • Nikolaos Giannareas

    (University of Oulu)

  • Qin Zhang

    (University of Oulu)

  • Xiayun Yang

    (University of Oulu)

  • Rong Na

    (the University of Hong Kong)

  • Yijun Tian

    (H. Lee Moffitt Cancer Center and Research Institute)

  • Yuehong Yang

    (University of Oulu)

  • Xiaohao Ruan

    (Shanghai Jiaotong University School of Medicine)

  • Da Huang

    (Shanghai Jiaotong University School of Medicine)

  • Xiaoqun Yang

    (Shanghai Jiaotong University School of Medicine)

  • Chaofu Wang

    (Shanghai Jiaotong University School of Medicine)

  • Peng Zhang

    (Shanghai Medical College of Fudan University)

  • Aki Manninen

    (University of Oulu)

  • Liang Wang

    (H. Lee Moffitt Cancer Center and Research Institute)

  • Gong-Hong Wei

    (University of Oulu
    Shanghai Medical College of Fudan University)

Abstract

Genome-wide association studies have identified 270 loci conferring risk for prostate cancer (PCa), yet the underlying biology and clinical impact remain to be investigated. Here we observe an enrichment of transcription factor genes including HNF1B within PCa risk-associated regions. While focused on the 17q12/HNF1B locus, we find a strong eQTL for HNF1B and multiple potential causal variants involved in the regulation of HNF1B expression in PCa. An unbiased genome-wide co-expression analysis reveals PCa-specific somatic TMPRSS2-ERG fusion as a transcriptional mediator of this locus and the HNF1B eQTL signal is ERG fusion status dependent. We investigate the role of HNF1B and find its involvement in several pathways related to cell cycle progression and PCa severity. Furthermore, HNF1B interacts with TMPRSS2-ERG to co-occupy large proportion of genomic regions with a remarkable enrichment of additional PCa risk alleles. We finally show that HNF1B co-opts ERG fusion to mediate mechanistic and biological effects of the PCa risk-associated locus 17p13.3/VPS53/FAM57A/GEMIN4. Taken together, we report an extensive germline-somatic interaction between TMPRSS2-ERG fusion and genetic variations underpinning PCa risk association and progression.

Suggested Citation

  • Nikolaos Giannareas & Qin Zhang & Xiayun Yang & Rong Na & Yijun Tian & Yuehong Yang & Xiaohao Ruan & Da Huang & Xiaoqun Yang & Chaofu Wang & Peng Zhang & Aki Manninen & Liang Wang & Gong-Hong Wei, 2022. "Extensive germline-somatic interplay contributes to prostate cancer progression through HNF1B co-option of TMPRSS2-ERG," Nature Communications, Nature, vol. 13(1), pages 1-22, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34994-z
    DOI: 10.1038/s41467-022-34994-z
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    References listed on IDEAS

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    1. Hui Shen & Brooke L. Fridley & Honglin Song & Kate Lawrenson & Julie M. Cunningham & Susan J. Ramus & Mine S. Cicek & Jonathan Tyrer & Douglas Stram & Melissa C. Larson & Martin Köbel & Argyrios Zioga, 2013. "Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer," Nature Communications, Nature, vol. 4(1), pages 1-10, June.
    2. S. N. Thibodeau & A. J. French & S. K. McDonnell & J. Cheville & S. Middha & L. Tillmans & S. Riska & S. Baheti & M. C. Larson & Z. Fogarty & Y. Zhang & N. Larson & A. Nair & D. O’Brien & L. Wang & D , 2015. "Identification of candidate genes for prostate cancer-risk SNPs utilizing a normal prostate tissue eQTL data set," Nature Communications, Nature, vol. 6(1), pages 1-10, December.
    3. Musaddeque Ahmed & Fraser Soares & Ji-Han Xia & Yue Yang & Jing Li & Haiyang Guo & Peiran Su & Yijun Tian & Hyung Joo Lee & Miranda Wang & Nayeema Akhtar & Kathleen E. Houlahan & Almudena Bosch & Stan, 2021. "CRISPRi screens reveal a DNA methylation-mediated 3D genome dependent causal mechanism in prostate cancer," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    4. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    5. Peng Zhang & Ji-Han Xia & Jing Zhu & Ping Gao & Yi-Jun Tian & Meijun Du & Yong-Chen Guo & Sufyan Suleman & Qin Zhang & Manish Kohli & Lori S. Tillmans & Stephen N. Thibodeau & Amy J. French & James R., 2018. "High-throughput screening of prostate cancer risk loci by single nucleotide polymorphisms sequencing," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
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