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Integrated analyses highlight interactions between the three-dimensional genome and DNA, RNA and epigenomic alterations in metastatic prostate cancer

A multiomic approach profiles the three-dimensional, epigenetic and mutational landscapes of 80 metastatic prostate cancer biopsies. Hi-C experiments identify an extrachromosomal circular DNA at the AR locus associated with therapy resistance.

Shuang G. Zhao
Matthew Bootsma
Felix Y. Feng
ResearchOpen Access17 Jul 2024
Nature Genetics

Volume: 56, P: 1689-1700
Integrative analysis of ultra-deep RNA-seq reveals alternative promoter usage as a mechanism of activating oncogenic programmes during prostate cancer progression

With ultra-deep RNA sequencing, Zhang et al. report increased usage of alternative promoters driven by AR, FOXA1 and MYC during prostate cancer progression and suggest altered DNA methylation as a potential underlying mechanism.

Meng Zhang
Martin Sjöström
David A. Quigley
Research13 Jun 2024
Nature Cell Biology

Volume: 26, P: 1176-1186
Reclassifying tumour cell cycle activity in terms of its tissue of origin

Arian Lundberg
Joan Jong Jing Yi
Nicholas P. Tobin
ResearchOpen Access20 Aug 2022
npj Precision Oncology

Volume: 6, P: 1-10
B cell-related gene signature and cancer immunotherapy response

Arian Lundberg
Bailiang Li
Ruijiang Li
Research17 Dec 2021
British Journal of Cancer

Volume: 126, P: 899-906
A pan-cancer analysis of the frequency of DNA alterations across cell cycle activity levels

Arian Lundberg
Linda S. Lindström
Nicholas P. Tobin
Research24 Jun 2020
Oncogene

Volume: 39, P: 5430-5440

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Integrated analyses highlight interactions between the three-dimensional genome and DNA, RNA and epigenomic alterations in metastatic prostate cancer

Integrative analysis of ultra-deep RNA-seq reveals alternative promoter usage as a mechanism of activating oncogenic programmes during prostate cancer progression

Reclassifying tumour cell cycle activity in terms of its tissue of origin

B cell-related gene signature and cancer immunotherapy response

A pan-cancer analysis of the frequency of DNA alterations across cell cycle activity levels

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