Data‐independent acquisition and quantification of extracellular matrix from human lung in chronic inflammation‐associated carcinomas. Issue 7 (13th October 2022)
- Record Type:
- Journal Article
- Title:
- Data‐independent acquisition and quantification of extracellular matrix from human lung in chronic inflammation‐associated carcinomas. Issue 7 (13th October 2022)
- Main Title:
- Data‐independent acquisition and quantification of extracellular matrix from human lung in chronic inflammation‐associated carcinomas
- Authors:
- Bons, Joanna
Pan, Deng
Shah, Samah
Bai, Rosemary
Chen‐Tanyolac, Chira
Wang, Xianhong
Elliott, Daffolyn R. Fels
Urisman, Anatoly
O'Broin, Amy
Basisty, Nathan
Rose, Jacob
Sangwan, Veena
Camilleri‐Broët, Sophie
Tankel, James
Gascard, Philippe
Ferri, Lorenzo
Tlsty, Thea D.
Schilling, Birgit - Other Names:
- Guo Tiannan guestEditor.
Aebersold Ruedi guestEditor. - Abstract:
- Abstract: Early events associated with chronic inflammation and cancer involve significant remodeling of the extracellular matrix (ECM), which greatly affects its composition and functional properties. Using lung squamous cell carcinoma (LSCC), a chronic inflammation‐associated cancer (CIAC), we optimized a robust proteomic pipeline to discover potential biomarker signatures and protein changes specifically in the stroma. We combined ECM enrichment from fresh human tissues, data‐independent acquisition (DIA) strategies, and stringent statistical processing to analyze "Tumor" and matched adjacent histologically normal ("Matched Normal") tissues from patients with LSCC. Overall, 1802 protein groups were quantified with at least two unique peptides, and 56% of those proteins were annotated as "extracellular." Confirming dramatic ECM remodeling during CIAC progression, 529 proteins were significantly altered in the "Tumor" compared to "Matched Normal" tissues. The signature was typified by a coordinated loss of basement membrane proteins and small leucine‐rich proteins. The dramatic increase in the stromal levels of SERPINH1/heat shock protein 47, that was discovered using our ECM proteomic pipeline, was validated by immunohistochemistry (IHC) of "Tumor" and "Matched Normal" tissues, obtained from an independent cohort of LSCC patients. This integrated workflow provided novel insights into ECM remodeling during CIAC progression, and identified potential biomarker signatures andAbstract: Early events associated with chronic inflammation and cancer involve significant remodeling of the extracellular matrix (ECM), which greatly affects its composition and functional properties. Using lung squamous cell carcinoma (LSCC), a chronic inflammation‐associated cancer (CIAC), we optimized a robust proteomic pipeline to discover potential biomarker signatures and protein changes specifically in the stroma. We combined ECM enrichment from fresh human tissues, data‐independent acquisition (DIA) strategies, and stringent statistical processing to analyze "Tumor" and matched adjacent histologically normal ("Matched Normal") tissues from patients with LSCC. Overall, 1802 protein groups were quantified with at least two unique peptides, and 56% of those proteins were annotated as "extracellular." Confirming dramatic ECM remodeling during CIAC progression, 529 proteins were significantly altered in the "Tumor" compared to "Matched Normal" tissues. The signature was typified by a coordinated loss of basement membrane proteins and small leucine‐rich proteins. The dramatic increase in the stromal levels of SERPINH1/heat shock protein 47, that was discovered using our ECM proteomic pipeline, was validated by immunohistochemistry (IHC) of "Tumor" and "Matched Normal" tissues, obtained from an independent cohort of LSCC patients. This integrated workflow provided novel insights into ECM remodeling during CIAC progression, and identified potential biomarker signatures and future therapeutic targets. … (more)
- Is Part Of:
- Proteomics. Volume 23:Issue 7/8(2023)
- Journal:
- Proteomics
- Issue:
- Volume 23:Issue 7/8(2023)
- Issue Display:
- Volume 23, Issue 7/8 (2023)
- Year:
- 2023
- Volume:
- 23
- Issue:
- 7/8
- Issue Sort Value:
- 2023-0023-NaN-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-10-13
- Subjects:
- data‐independent acquisition -- extracellular matrix -- lung squamous cell carcinoma -- quantification -- serpins
Proteins -- Separation -- Periodicals
Bioinformatics -- Periodicals
Proteomics -- Periodicals
Genomes -- Periodicals
Molecular genetics -- Periodicals
572.605 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1615-9861 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/pmic.202200021 ↗
- Languages:
- English
- ISSNs:
- 1615-9853
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6936.178000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 27004.xml