Proteomics

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Identifying the patients with rapid progression from hormone-sensitive to castration-resistant prostate cancer

ABSTRACT: We collected 78 biopsies and analyzed the proteomic expression by pressure cycling technology and Pulsed data-independent acquisition (PCT-PulseDIA) pipeline. Next, we explore the differentially expressed proteins (DEPs) in the discovery set (n=16) which contains short (S, n=8)- and long (L, n=8)- term progression. The progression-related proteins were further identified in another dataset, modeling set (n=62), utilizing the ANOVA estimation and random forest model. Multivariable Cox regression analysis was then conducted to determine clinical and protein variables significantly associated with the progression of HSPC in the whole sample set (n=78).

ORGANISM(S): Homo Sapiens

SUBMITTER: Tiannan Guo  

PROVIDER: PXD037951 | iProX | Fri Nov 04 00:00:00 GMT 2022

REPOSITORIES: iProX

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Identifying Patients With Rapid Progression From Hormone-Sensitive to Castration-Resistant Prostate Cancer: A Retrospective Study.

Pan Chenxi C   He Yi Y   Wang He H   Yu Yang Y   Li Lu L   Huang Lingling L   Lyu Mengge M   Ge Weigang W   Yang Bo B   Sun Yaoting Y   Guo Tiannan T   Liu Zhiyu Z  

Molecular & cellular proteomics : MCP 20230630 9

Prostate cancer (PCa) is the second most prevalent malignancy and the fifth cause of cancer-related deaths in men. A crucial challenge is identifying the population at risk of rapid progression from hormone-sensitive prostate cancer (HSPC) to lethal castration-resistant prostate cancer (CRPC). We collected 78 HSPC biopsies and measured their proteomes using pressure cycling technology and a pulsed data-independent acquisition pipeline. We quantified 7355 proteins using these HSPC biopsies. A tot  ...[more]

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