2019
DOI: 10.1172/jci.insight.129749
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Genomic analysis of benign prostatic hyperplasia implicates cellular relandscaping in disease pathogenesis

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Cited by 32 publications
(45 citation statements)
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References 67 publications
(65 reference statements)
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“…6). We next validated this BPH transcriptional signature using two independent study cohorts 18,30 , and again found reliable clustering of BPH samples ( Fig. 2c, d) with similar upregulation of BMP5 identified (Supplementary Table 9).…”
Section: And 4 Supplementarymentioning
confidence: 57%
See 1 more Smart Citation
“…6). We next validated this BPH transcriptional signature using two independent study cohorts 18,30 , and again found reliable clustering of BPH samples ( Fig. 2c, d) with similar upregulation of BMP5 identified (Supplementary Table 9).…”
Section: And 4 Supplementarymentioning
confidence: 57%
“…Histologically, BPH is characterized as the overgrowth of stromal and epithelial cells, and it occurs in the transition zone of the prostate 1 . Currently, many BPH studies have focused on risk factors of BPH [11][12][13] , while the underlying molecular features of BPH remain understudied 3,9,[14][15][16] and molecular data is relatively scarce 17,18 . Moreover, BPH has been described as the most common benign tumor in men, and is commonly referred to as an adenoma, but unlike many malignant 19 and benign neoplasms [20][21][22] , it is unknown whether BPH is a neoplastic process 3,7,[15][16][17] .…”
mentioning
confidence: 99%
“…When compared to control samples from the normal peripheral zone, this transcriptional signature was BPH specific, and not specific to transition zone tissue ( Figure S2). We next validated this BPH transcriptional signature using two independent study cohorts 21,32 , and again found reliable clustering of BPH samples ( Figures 2C and 2D) with similar upregulation of BMP5 identified (Table S6).…”
Section: Resultsmentioning
confidence: 58%
“…We therefore performed integrative analysis using transcriptional and methylation profiling, and identified two distinct BPH subtypes ( Figure 3A and Tables S6-7), supporting robust biologically distinct subgroups across different data types. To validate distinct subtypes in BPH, we tested our signature via k-means clustering in two independent cohorts 20,21 , and identified nearly identical subgroups (Figures 3C, 3E and Table S8), further supporting the robustness of these subgroups across data types and sources. We then examined the molecular and clinical features of these two groups.…”
Section: Resultsmentioning
confidence: 66%
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