dia-PASEF Proteomics of Tumor and Stroma LMD Enriched from Archived HNSCC Samples

We employed laser microdissection to selectively harvest histology-resolved tumors and stroma from formalin-fixed, paraffin-embedded head and neck squamous cell carcinoma (HNSCC) tissues. Peptide digests from the LMD-enriched HNSCC tissue were analyzed by quantitative mass-spectrometry-based proteomics using a data independent analysis approach. In paired samples, excellent proteome coverage was achieved, having quantified 6668 proteins with a median quantitative coefficient of variation under 10%. Significant differences in relevant functional pathways between the tumor and the stroma regions were observed. Extracellular matrix (ECM) was identified as a major component enriched in the stroma, including many cancer-associated fibroblast signature proteins in this compartment. We demonstrate the potential for comparative deep proteome analysis from a very low starting input in a scalable format. Correlating such results with clinical features or disease progression will likely enable the identification of novel targets for disease classification and interventions.

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Publication Details

Journal
ACS Omega
Published
2025-03-25
DOI
https://doi.org/10.1021/acsomega.4c11051
Citations
3
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
2.81

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article

dia-PASEF Proteomics of Tumor and Stroma LMD Enriched from Archived HNSCC Samples

Bhaskar Kallakury, Allison L. Hunt, Aswini Panigrahi, Bruce J. Davidson et al.
3 citations
ACS Omega
Cancer, Hypoxia, and Metabolism
2.81
article

dia-PASEF Proteomics of Tumor and Stroma LMD Enriched from Archived HNSCC Samples

Bhaskar Kallakury, Allison L. Hunt, Aswini Panigrahi, Bruce J. Davidson, Diego M. Assis, Thomas P. Conrads, Radoslav Goldman, Jaeil Ahn, Matthew Willetts
article en
3 citations

Abstract

We employed laser microdissection to selectively harvest histology-resolved tumors and stroma from formalin-fixed, paraffin-embedded head and neck squamous cell carcinoma (HNSCC) tissues. Peptide digests from the LMD-enriched HNSCC tissue were analyzed by quantitative mass-spectrometry-based proteomics using a data independent analysis approach. In paired samples, excellent proteome coverage was achieved, having quantified 6668 proteins with a median quantitative coefficient of variation under 10%. Significant differences in relevant functional pathways between the tumor and the stroma regions were observed. Extracellular matrix (ECM) was identified as a major component enriched in the stroma, including many cancer-associated fibroblast signature proteins in this compartment. We demonstrate the potential for comparative deep proteome analysis from a very low starting input in a scalable format. Correlating such results with clinical features or disease progression will likely enable the identification of novel targets for disease classification and interventions.

ACS OmegaVol. 10(13)
Inova Health System (US), Georgetown University (US), Bruker (United States) (US), Georgetown University Medical Center (US), MedStar Georgetown University Hospital (US), Applied Biomathematics (United States) (US), Vince Lombardi Cancer Clinic (US), Bruker (Canada) (CA), U-M Rogel Cancer Center (US)
National Institutes of Health, National Cancer Institute
Zero hunger
Openalex Percentile: Top 10%
Cancer, Hypoxia, and Metabolism
2.81
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