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pmid:36217461

Leucine zipper protein 2 serves as a prognostic biomarker for prostate cancer correlating with immune infiltration and epigenetic regulation.

Dechao Feng · Weizhen Zhu · Xu Shi · Wuran Wei · Ping Han · Qiang Wei · Lu Yang

Heliyon · 2022 doi:10.1016/j.heliyon.2022.e10750

Paper

complete

Experiment

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Data

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title
Leucine zipper protein 2 serves as a prognostic biomarker for prostate cancer correlating with immune infiltration and epigenetic regulation.
doi
10.1016/j.heliyon.2022.e10750
pmid
36217461
authors array · 7 items
[0]
Dechao Feng
[1]
Weizhen Zhu
[2]
Xu Shi
[3]
Wuran Wei
[4]
Ping Han
[5]
Qiang Wei
[6]
Lu Yang
journal
Heliyon
year
2022
abstract
Background: We sought to determine whether leucine zipper protein 2 (LUZP2) could benefit men with prostate cancer (PCa) undergoing radical radiotherapy (RT) or prostatectomy (RP). Methods: Analysis was done on differentiating expression, clinical prognosis, co-expressed genes, immune infiltration, and epigenetic changes. All of our analyses were done using the R software (version 3.6.3) and the appropriate packages. Results: In terms of PCa, tumor samples expressed LUZP2 more than normal samples did. In the TCGA database and GSE116918, we found that LUZP2 was the only independent risk factor for PCa. The shared enriched pathways for patients undergoing RP or RT were cell-cell adhesion, regulation of filopodium assembly, and extracellular matrix containing collagen. With the exception of TNFRSF14, we discovered that LUZP2 was negatively correlated with 21 immune checkpoints in PCa patients receiving RT. We found a significant inverse relationship between LUZP2 expression and the tumor immune environment, which included B cells, CD4+ T cells, neutrophils, macrophages, dendritic cells, stromal score, immune score, and estimate score, in patients receiving RP or RT. Additionally, tumor purity was positively correlated with LUZP2. We found that the drug bortezomib may be susceptible to the LUZP2. DNA methylation was significantly associated with the mRNA expression of LUZP2 in PCa patients from the TCGA database, and LUZP2 methylation was positively correlated with immune cells. The proliferative activity of various PCa cells, which correlated to different stages of this disease, was also found to be significantly reduced by LUZP2 reduction, according to the results of our experimental work. Conclusions: We proposed a relatively comprehensive understanding of the roles of LUZP2 on PCa from the fresh perspective of senescence.
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Through univariate and multivariate COX regression analysis, we were able to identify the independent risk gene (LUZP2) for PCa patients undergoing RP or RT.
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Through univariate and multivariate COX regression analysis, we were able to identify the independent risk gene (LUZP2) for PCa patients undergoing RP or RT.
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LUZP2 was the only independent risk factor for prostate cancer in both the TCGA database and GSE116918.
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In the TCGA database and GSE116918, we found that LUZP2 was the only independent risk factor for PCa.
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[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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[11]
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[12]
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[13]
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[14]
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[15]
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[16]
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[17]
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[18]
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[19]
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[20]
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[21]
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[22]
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[23]
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[24]
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[25]
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[26]
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[27]
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[28]
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[29]
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[30]
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[31]
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[32]
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[33]
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[34]
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[35]
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[36]
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[37]
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[38]
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[39]
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[40]
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[41]
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[42]
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[43]
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[44]
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[45]
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[47]
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[48]
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[49]
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[50]
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[51]
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[54]
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[58]
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[59]
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[60]
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[61]
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[62]
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[63]
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[64]
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[65]
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[66]
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[67]
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[68]
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[69]
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[70]
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[71]
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[72]
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[73]
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[79]
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[80]
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[81]
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[82]
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[83]
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[92]
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[95]
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[97]
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[98]
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[99]
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[100]
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[101]
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[102]
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[103]
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[104]
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[105]
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[110]
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[111]
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[112]
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[113]
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[114]
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[115]
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[116]
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[117]
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[118]
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[119]
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[120]
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[121]
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[122]
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[123]
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[124]
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[125]
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[126]
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[127]
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[131]
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[171]
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[194]
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[197]
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[198]
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[199]
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[200]
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[201]
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[202]
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[203]
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[204]
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[205]
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[206]
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[207]
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[208]
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[209]
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[210]
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[211]
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[212]
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[213]
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[214]
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[220]
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[222]
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[223]
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[228]
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[230]
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[232]
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[233]
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[234]
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[235]
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[236]
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[237]
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[238]
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[239]
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[240]
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[242]
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[243]
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[248]
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[249]
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[250]
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[251]
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[254]
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[255]
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[256]
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[257]
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[259]
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[260]
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[262]
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[263]
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[269]
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[290]
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[293]
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[294]
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[295]
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[296]
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[297]
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[298]
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[299]
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[300]
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[301]
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[302]
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[303]
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[304]
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[305]
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[306]
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[307]
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[308]
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[309]
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[310]
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[311]
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[312]
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[313]
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[314]
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[315]
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[316]
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[317]
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[318]
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[319]
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[320]
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[321]
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[322]
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[323]
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[324]
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[325]
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[326]
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[327]
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[328]
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[329]
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[330]
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[331]
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[332]
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[333]
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[334]
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[335]
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[336]
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[337]
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[338]
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[339]
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[340]
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[341]
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[342]
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[343]
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[344]
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[345]
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[346]
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[347]
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[348]
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[349]
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[350]
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[351]
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[352]
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[353]
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[354]
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[355]
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[356]
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[358]
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[359]
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[361]
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[364]
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[365]
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[368]
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[371]
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[372]
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[373]
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[374]
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[375]
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[377]
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[378]
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[379]
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[385]
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[389]
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[392]
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[395]
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[396]
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[400]
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[402]
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[403]
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[404]
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[405]
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[406]
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[407]
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[408]
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[423]
GSM1535216
sample_count
424
group_sizes
null
group_sizes_basis
null
platform
19370
taxon
Homo sapiens
title
Association of Prostate Cancer Risk Variants with Gene Expression in Normal and Tumor Tissue
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 8 items
[0]
asset:data:geo:GSE116918 not downloaded
[1]
asset:data:geo:GSE116918 licence not read
[2]
asset:data:geo:GSE32571 not downloaded
[3]
asset:data:geo:GSE32571 licence not read
[4]
asset:data:geo:GSE46602 not downloaded
[5]
asset:data:geo:GSE46602 licence not read
[6]
asset:data:geo:GSE62872 not downloaded
[7]
asset:data:geo:GSE62872 licence not read
analysis object · 4 fields
state
complete
methods array · 1 item
[0] object · 10 fields
id
method-1
family
survival_analysis
specific
cox_proportional_hazards
label
Survival analysis
dsl_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
time_to_event_with_censoring
evidence object · 3 fields
score
1
band
verbatim
quote
Through univariate and multivariate COX regression analysis, we were able to identify the independent risk gene (LUZP2) for PCa patients undergoing RP or RT.
targets array · 0 items
gaps array · 0 items
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
cox_ph
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: cox_proportional_hazards.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 4 items
[0]
GSE46602
[1]
GSE32571
[2]
GSE62872
[3]
GSE116918
resolved_accessions array · 4 items
[0]
GSE46602
[1]
GSE32571
[2]
GSE62872
[3]
GSE116918
statements array · 1 item
[0]
Data included in article/supp. material/referenced in article.
basis
The paper names GSE46602, GSE32571, GSE62872, GSE116918 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
cox_ph
assets array · 2 items
[0]
source:pmid:36217461
[1]
data:geo:GSE116918
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE116918
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T18:09:43Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
16454
completion_tokens
2248
cached_tokens
264
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:36217461
type
paper
label
pmid:36217461
[1] object · 3 fields
id
source:pmid:36217461
type
manuscript
label
PMID 36217461 full text
[2] object · 3 fields
id
data:geo:GSE116918
type
dataset
label
GEO GSE116918
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:36217461
type
paper
label
pmid:36217461
[1] object · 3 fields
id
source:pmid:36217461
type
manuscript
label
PMID 36217461 full text
[2] object · 3 fields
id
data:geo:GSE116918
type
dataset
label
GEO GSE116918
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-36217461
type
extraction
used array · 1 item
[0]
source:pmid:36217461
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE116918
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE116918
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:36217461
parent_hash
sha256:3a98888097a4cebe2bd27b196532b847231d38c1f8144a1b32dafe24b37cf497
fork_of
null
gaps array · 12 items
[0]
asset:data:geo:GSE116918 licence not read
[1]
asset:data:geo:GSE116918 not downloaded
[2]
asset:data:geo:GSE32571 licence not read
[3]
asset:data:geo:GSE32571 not downloaded
[4]
asset:data:geo:GSE46602 licence not read
[5]
asset:data:geo:GSE46602 not downloaded
[6]
asset:data:geo:GSE62872 licence not read
[7]
asset:data:geo:GSE62872 not downloaded
[8]
execution.not_run
[9]
review.human_critique
[10]
review.independent_reader
[11]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
cox_ph
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Through univariate and multivariate COX regression analysis, we were able to identify the independent risk gene (LUZP2) for PCa patients undergoing RP or RT.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36217461", "kind": "science-record", "revision": 3, "content_hash": "sha256:849c29e020b607cf2fb897230f9a3ff186b566d16aec3ab088b8442e4a269505", "created_at": "2026-11-01T18:15:34Z", "updated_at": "2026-11-01T21:29:09Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Leucine zipper protein 2 serves as a prognostic biomarker for prostate cancer correlating with immune infiltration and epigenetic regulation.", "doi": "10.1016/j.heliyon.2022.e10750", "pmid": "36217461", "authors": ["Dechao Feng", "Weizhen Zhu", "Xu Shi", "Wuran Wei", "Ping Han", "Qiang Wei", "Lu Yang"], "journal": "Heliyon", "year": 2022, "abstract": "Background: We sought to determine whether leucine zipper protein 2 (LUZP2) could benefit men with prostate cancer (PCa) undergoing radical radiotherapy (RT) or prostatectomy (RP).\nMethods: Analysis was done on differentiating expression, clinical prognosis, co-expressed genes, immune infiltration, and epigenetic changes. All of our analyses were done using the R software (version 3.6.3) and the appropriate packages.\nResults: In terms of PCa, tumor samples expressed LUZP2 more than normal samples did. In the TCGA database and GSE116918, we found that LUZP2 was the only independent risk factor for PCa. The shared enriched pathways for patients undergoing RP or RT were cell-cell adhesion, regulation of filopodium assembly, and extracellular matrix containing collagen. With the exception of TNFRSF14, we discovered that LUZP2 was negatively correlated with 21 immune checkpoints in PCa patients receiving RT. We found a significant inverse relationship between LUZP2 expression and the tumor immune environment, which included B cells, CD4+ T cells, neutrophils, macrophages, dendritic cells, stromal score, immune score, and estimate score, in patients receiving RP or RT. Additionally, tumor purity was positively correlated with LUZP2. We found that the drug bortezomib may be susceptible to the LUZP2. DNA methylation was significantly associated with the mRNA expression of LUZP2 in PCa patients from the TCGA database, and LUZP2 methylation was positively correlated with immune cells. The proliferative activity of various PCa cells, which correlated to different stages of this disease, was also found to be significantly reduced by LUZP2 reduction, according to the results of our experimental work.\nConclusions: We proposed a relatively comprehensive understanding of the roles of LUZP2 on PCa from the fresh perspective of senescence.", "claims": [{"id": "claim-method", "statement": "Through univariate and multivariate COX regression analysis, we were able to identify the independent risk gene (LUZP2) for PCa patients undergoing RP or RT.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36217461", "locator": "sections[4] \"Data collection\" paragraph 2", "quote": "Through univariate and multivariate COX regression analysis, we were able to identify the independent risk gene (LUZP2) for PCa patients undergoing RP or RT."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data included in article/supp. material/referenced in article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36217461", "locator": "sections[20] \"Data availability statement\" paragraph 2", "quote": "Data included in article/supp. material/referenced in article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "LUZP2 was the only independent risk factor for prostate cancer in both the TCGA database and GSE116918.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36217461", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "In the TCGA database and GSE116918, we found that LUZP2 was the only independent risk factor for PCa."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "LUZP2 was the only independent risk factor for prostate cancer in both the TCGA database and GSE116918.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:36217461"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE116918"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE116918"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36217461", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1016/j.heliyon.2022.e10750", "sha256": 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