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  Quantitative proteomics identifies biomarkers to distinguish pulmonary from head and neck squamous cell carcinomas by immunohistochemistry

Richter, A., Fichtner, A., Joost, J., Brockmeyer, P., Kauffmann, P., Schliephake, H., et al. (2022). Quantitative proteomics identifies biomarkers to distinguish pulmonary from head and neck squamous cell carcinomas by immunohistochemistry. The Journal of Pathology: Clinical Research, 8(1), 33-47. doi:10.1002/cjp2.244.

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 Creators:
Richter, A., Author
Fichtner, A., Author
Joost, J., Author
Brockmeyer, P., Author
Kauffmann, P., Author
Schliephake, H., Author
Hammerstein‐Equord, Al., Author
Kueffer, S., Author
Urlaub, H.1, Author           
Oellerich, T., Author
Ströbel, P., Author
Bohnenberger, H., Author
Bremmer, Fe., Author
Affiliations:
1Research Group of Bioanalytical Mass Spectrometry, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, ou_3350290              

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Free keywords: SILAC-mass spectrometry; squamous cell carcinoma; head and neck; lung; metastasis; cell culture
 Abstract: The differentiation between a pulmonary metastasis and a newly developed squamous cell carcinoma of the lung in patients with prior head and neck squamous cell carcinoma (HNSCC) is difficult due to a lack of biomarkers
but is crucially important for the prognosis and therapy of the affected patient. By using high-resolution mass spectrometry in combination with stable isotope labelling by amino acids in cell culture, we identified 379 proteins that are differentially expressed in squamous cell carcinomas of the lung and the head and neck. Of those, CAV1, CAV2, LGALS1, LGALS7, CK19, and UGDH were tested by mmunohistochemistry on 194 tissue samples
(98 lung and 96 HNSCCs). The combination of CAV1 and LGALS7 was able to distinguish the origin of the squamous cell carcinoma with high accuracy (area under the curve 0.876). This biomarker panel was tested on a cohort of 12 clinically classified lung tumours of unknown origin after HNSCC. Nine of those tumours were immunohistochemically classifiable.

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Language(s): eng - English
 Dates: 2021-10-142022-01
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/cjp2.244
 Degree: -

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Title: The Journal of Pathology: Clinical Research
Source Genre: Journal
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Pages: - Volume / Issue: 8 (1) Sequence Number: - Start / End Page: 33 - 47 Identifier: ISSN: 2056-4538
ISSN: 2056-4538