Proteomics

Dataset Information

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Discrimination of tumor and normal tissues in renal cell carcinoma


ABSTRACT: Uncovering a protein abundance-based gene panel specific to clear cell Renal Cell Carcinoma (ccRCC) could provide support for the everyday clinical decision-making process. We used proteomic data to differentiate between normal kidney and ccRCC tissues. By using datasets of patients with paired normal tissue samples from gene array cohorts, we uncovered the top genes over-expressed in ccRCC. We collected surgically resected ccRCC specimens at Semmelweis University to validate the strongest genes. Differential expression was evaluated at the protein level using targeted mass spectrometry (MS).

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Kidney

DISEASE(S): Renal Clear Cell Carcinoma

SUBMITTER: Aron Bartha  

LAB HEAD: Balazs Gyorffy

PROVIDER: PXD033709 | Pride | 2023-05-10

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
L_201207_104.raw Raw
L_201207_106.raw Raw
L_201207_108.raw Raw
L_201207_110.raw Raw
L_201207_112.raw Raw
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Publications

Proteotranscriptomic Discrimination of Tumor and Normal Tissues in Renal Cell Carcinoma.

Bartha Áron Á   Darula Zsuzsanna Z   Munkácsy Gyöngyi G   Klement Éva É   Nyirády Péter P   Győrffy Balázs B  

International journal of molecular sciences 20230224 5


Clear cell renal carcinoma is the most frequent type of kidney cancer, with an increasing incidence rate worldwide. In this research, we used a proteotranscriptomic approach to differentiate normal and tumor tissues in clear cell renal cell carcinoma (ccRCC). Using transcriptomic data of patients with malignant and paired normal tissue samples from gene array cohorts, we identified the top genes over-expressed in ccRCC. We collected surgically resected ccRCC specimens to further investigate the  ...[more]

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