Proteogenomic Workflow Reveals Molecular Phenotypes Related to Breast Cancer Mammographic Appearance
(2021) In Journal of Proteome Research 20(5). p.2983-3001- Abstract
Proteogenomic approaches have enabled the generat̲ion of novel information levels when compared to single omics studies although burdened by extensive experimental efforts. Here, we improved a data-independent acquisition mass spectrometry proteogenomic workflow to reveal distinct molecular features related to mammographic appearances in breast cancer. Our results reveal splicing processes detectable at the protein level and highlight quantitation and pathway complementarity between RNA and protein data. Furthermore, we confirm previously detected enrichments of molecular pathways associated with estrogen receptor-dependent activity and provide novel evidence of epithelial-to-mesenchymal activity in mammography-detected spiculated... (More)
Proteogenomic approaches have enabled the generat̲ion of novel information levels when compared to single omics studies although burdened by extensive experimental efforts. Here, we improved a data-independent acquisition mass spectrometry proteogenomic workflow to reveal distinct molecular features related to mammographic appearances in breast cancer. Our results reveal splicing processes detectable at the protein level and highlight quantitation and pathway complementarity between RNA and protein data. Furthermore, we confirm previously detected enrichments of molecular pathways associated with estrogen receptor-dependent activity and provide novel evidence of epithelial-to-mesenchymal activity in mammography-detected spiculated tumors. Several transcript-protein pairs displayed radically different abundances depending on the overall clinical properties of the tumor. These results demonstrate that there are differentially regulated protein networks in clinically relevant tumor subgroups, which in turn alter both cancer biology and the abundance of biomarker candidates and drug targets.
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- author
- De Marchi, Tommaso
LU
; Pyl, Paul Theodor
LU
; Sjöström, Martin
LU
; Klasson, Stina
LU
; Sartor, Hanna
LU
; Tran, Lena
LU
; Pekar, Gyula
; Malmström, Johan
LU
; Malmström, Lars LU and Niméus, Emma LU
- organization
-
- Biomarkers and epidemiology
- LUCC: Lund University Cancer Centre
- Breast cancer Proteogenomics (research group)
- Breast cancer treatment
- Personalized Breast Cancer Treatment (research group)
- Radiology Diagnostics, Malmö (research group)
- Breast/ovarian cancer
- Breast and Ovarian Cancer Genomics (research group)
- BioMS (research group)
- Mass Spectrometry
- epIgG (research group)
- SEBRA Sepsis and Bacterial Resistance Alliance (research group)
- Infection Medicine Proteomics (research group)
- Infection Medicine (BMC)
- Breast Cancer Surgery (research group)
- publishing date
- 2021-04-15
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Proteome Research
- volume
- 20
- issue
- 5
- pages
- 19 pages
- publisher
- The American Chemical Society (ACS)
- external identifiers
-
- scopus:85105103725
- pmid:33855848
- ISSN
- 1535-3893
- DOI
- 10.1021/acs.jproteome.1c00243
- language
- English
- LU publication?
- yes
- id
- d00ee1d6-522e-46b2-ab6e-2b0ff2ac19d4
- date added to LUP
- 2021-04-19 16:34:22
- date last changed
- 2025-04-04 13:54:29
@article{d00ee1d6-522e-46b2-ab6e-2b0ff2ac19d4, abstract = {{<p>Proteogenomic approaches have enabled the generat̲ion of novel information levels when compared to single omics studies although burdened by extensive experimental efforts. Here, we improved a data-independent acquisition mass spectrometry proteogenomic workflow to reveal distinct molecular features related to mammographic appearances in breast cancer. Our results reveal splicing processes detectable at the protein level and highlight quantitation and pathway complementarity between RNA and protein data. Furthermore, we confirm previously detected enrichments of molecular pathways associated with estrogen receptor-dependent activity and provide novel evidence of epithelial-to-mesenchymal activity in mammography-detected spiculated tumors. Several transcript-protein pairs displayed radically different abundances depending on the overall clinical properties of the tumor. These results demonstrate that there are differentially regulated protein networks in clinically relevant tumor subgroups, which in turn alter both cancer biology and the abundance of biomarker candidates and drug targets.</p>}}, author = {{De Marchi, Tommaso and Pyl, Paul Theodor and Sjöström, Martin and Klasson, Stina and Sartor, Hanna and Tran, Lena and Pekar, Gyula and Malmström, Johan and Malmström, Lars and Niméus, Emma}}, issn = {{1535-3893}}, language = {{eng}}, month = {{04}}, number = {{5}}, pages = {{2983--3001}}, publisher = {{The American Chemical Society (ACS)}}, series = {{Journal of Proteome Research}}, title = {{Proteogenomic Workflow Reveals Molecular Phenotypes Related to Breast Cancer Mammographic Appearance}}, url = {{http://dx.doi.org/10.1021/acs.jproteome.1c00243}}, doi = {{10.1021/acs.jproteome.1c00243}}, volume = {{20}}, year = {{2021}}, }