TY - JOUR
T1 - dia-PASEF Proteomics of Tumor and Stroma LMD Enriched from Archived HNSCC Samples
AU - Panigrahi, Aswini
AU - Hunt, Allison L.
AU - Assis, Diego
AU - Willetts, Matthew
AU - Kallakury, Bhaskar V.
AU - Davidson, Bruce
AU - Ahn, Jaeil
AU - Conrads, Thomas P.
AU - Goldman, Radoslav
N1 - Publisher Copyright:
© 2025 The Authors. Published by American Chemical Society.
PY - 2025/4/8
Y1 - 2025/4/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=105002370783&partnerID=8YFLogxK
U2 - 10.1021/acsomega.4c11051
DO - 10.1021/acsomega.4c11051
M3 - Article
AN - SCOPUS:105002370783
SN - 2470-1343
VL - 10
SP - 13296
EP - 13302
JO - ACS Omega
JF - ACS Omega
IS - 13
ER -