Evidence map›Paper›PMID 39149249›Full record

ArticlebioRxiv : the preprint server for biology2024

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

Aswini Panigrahi, Allison L Hunt, Diego Assis, Matthew Willetts, Bhaskar V Kallakury, Bruce Davidson, Thomas P Conrads, Radoslav Goldman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Aswini PanigrahiDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.ORCID 0009-0006-3111-9030
Allison L HuntWomen's Health Integrated Research Center, Women's Service Line, Inova Health System, Annandale, VA 22003, USA.
Diego AssisBruker Scientific, Billerica, MA 01821, USA.
Matthew WillettsBruker Scientific, Billerica, MA 01821, USA.
Bhaskar V KallakuryDepartment of Pathology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Bruce DavidsonDepartment of Otolaryngology-Head and Neck Surgery, Medstar Georgetown University Hospital, Washington, DC, United States.
Thomas P ConradsWomen's Health Integrated Research Center, Women's Service Line, Inova Health System, Annandale, VA 22003, USA.
Radoslav GoldmanDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI MARCUS S NOEL · 1990 to 2026
$71.5M
O-glycoproteins in the progression of liver diseaseR01CA238455 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2019 to 2023
$2.6M
NCI NIH HHS P30 CA051008NCI NIH HHS R01 CA238455
6 · The paper itself

Abstract

We employed laser microdissection to selectively harvest tumor cells and stroma from the microenvironment of formalin-fixed, paraffin-embedded head and neck squamous cell carcinoma (HNSCC) tissues. The captured HNSCC tissue fractions were analyzed by quantitative mass spectrometry-based proteomics using a data independent analysis approach. In paired samples, we achieved excellent proteome coverage having quantified 6,668 proteins with a median quantitative coefficient of variation under 10%. We observed significant differences in relevant functional pathways between the spatially resolved tumor and stroma regions. Our results identified extracellular matrix (ECM) 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 very low starting input in a scalable format that is useful to decipher the alterations in tumor and the stromal microenvironment. Correlating such results with clinical features or disease progression will likely enable identification of novel targets for disease classification and interventions.

Identifiers

PMID39149249
PMCPMC11326218

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.