Proteomics

Dataset Information

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Comparative proteomics analysis of bladder cancer tissues to reveal proteins associated with cancer progression


ABSTRACT: The project aimed to determine proteomics changes in Bladder cancer (BCa) tissue from early to more advanced stages of the disease and identify the proteins associated with the progression. The samples used in this study were fresh frozen BCa tissues from patients collected immediately after surgery, with histopathologicaly confirmed disease. Samples were grouped according to the histopathological report in 3 groups: 1) Group 1 (pTa, G1), 2) Group 2 (T1, G2-G3) and 3) Group 3 (pT2-T3, G3). Patients were aged 28–82 years with no significant differences among groups regarding age: Median age (Group 1 (pTa, G1)) =62; Median age (Group 2 (T1, G2-G3)) =58 and Median age (Group 3 (pT2-T3, G3)) =73.5. Each group had 6 samples or 18 samples in total were used for the comparative proteomics analysis by label-free data-independent LC-MS/MS.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Bladder Organ, Bladder

DISEASE(S): Urinary Bladder Cancer

SUBMITTER: Katarina Davalieva  

LAB HEAD: Katarina Davalieva,

PROVIDER: PXD044432 | Pride | 2023-10-22

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
BC_10_UDMSe_1_5ul_16032023.raw.zip Raw
BC_11_UDMSe_1_6ul_16032023.raw.zip Raw
BC_12_UDMSe_1_1ul_16032023.raw.zip Raw
BC_13_UDMSe_1_2ul_16032023.raw.zip Raw
BC_14_UDMSe_1_9ul_16032023.raw.zip Raw
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Publications

Proteomics Profiling of Bladder Cancer Tissues from Early to Advanced Stages Reveals NNMT and GALK1 as Biomarkers for Early Detection and Prognosis of BCa.

Davalieva Katarina K   Kiprijanovska Sanja S   Ivanovski Ognen O   Trifunovski Aleksandar A   Saidi Skender S   Dimovski Aleksandar A   Popov Zivko Z  

International journal of molecular sciences 20231006 19


The high recurrence rate and invasive diagnostic and monitoring methods in bladder cancer (BCa) clinical management require the development of new non-invasive molecular tools for early detection, particularly for low-grade and low-stage BCa as well as for risk stratification. By using an in-solution digestion method and label-free data-independent LC-MS/MS coupled with ion mobility, we profiled the BCa tissues from initiation to advanced stages and confidently identified and quantified 1619 pro  ...[more]

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