Proteomics

Dataset Information

0

Quantitative proteomics identifies tumour matrisome signatures in patients with non-small cell lung cancer


ABSTRACT: The composition and remodelling of the extracellular matrix (ECM) are important factors in the development and progression of cancers, and the ECM is implicated in promoting tumour growth and restricting anti-tumour therapies through multiple mechanisms. The characterisation of differences in ECM composition between normal and diseased tissues may aid in identifying novel diagnostic markers, prognostic indicators and therapeutic targets for drug development. Using tissue from non-small cell lung cancer (NSCLC) patients undergoing curative intent surgery, we characterised quantitative tumour-specific ECM proteome signatures by mass spectrometry, identifying 161 matrisome proteins differentially regulated between tumour tissue and nearby non-malignant lung tissue. We defined a collagen hydroxylation functional protein network that is enriched in the lung tumour microenvironment. We validated two novel putative extracellular markers of NSCLC, the collagen cross-linking enzyme peroxidasin and a disintegrin and metalloproteinase with thrombospondin motifs 16 (ADAMTS16), for discrimination of malignant and non-malignant lung tissue. These proteins were up-regulated in lung tumour samples, and high PXDN and ADAMTS16 gene expression was associated with shorter survival of lung adenocarcinoma and squamous cell carcinoma patients, respectively. These data reveal tumour matrisome signatures in human NSCLC.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Lung

SUBMITTER: Alex von kriegsheim  

LAB HEAD: alex von kriegsheim

PROVIDER: PXD041066 | Pride | 2023-06-16

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
02_s-1.raw Raw
03_s-2.raw Raw
04_s-3.raw Raw
05_s-4.raw Raw
06_s-5.raw Raw
Items per page:
1 - 5 of 69

Similar Datasets

2022-12-22 | PXD024000 | Pride
2015-07-01 | E-GEOD-64859 | biostudies-arrayexpress
2012-08-16 | E-GEOD-39173 | biostudies-arrayexpress
2017-06-16 | GSE83527 | GEO
2022-02-16 | PXD023674 | Pride
2019-05-20 | PXD012694 | Pride
2015-09-03 | PXD002076 | Pride
2024-08-13 | PXD054389 | Pride
2024-09-12 | E-MTAB-14446 | biostudies-arrayexpress
2018-10-26 | PXD003743 | Pride