Evidence map›Paper›PMID 34482820›Full record

ArticleBMC medicine2021

Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms.

Susana Jorge, José L Capelo, William LaFramboise, Swati Satturwar, Dimitrios Korentzelos, Sheldon Bastacky, Gabriela Quiroga-Garza, Rajiv Dhir, Jacek R Wiśniewski, Carlos Lodeiro and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

13 citing papers in PubMed, 25 citations in OpenAlex.

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  6. The Exoproteome and Surfaceome of ToxigenicJournal of proteome research · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 3 countries.

Susana JorgeBIOSCOPE Group, LAQV-REQUIMTE, Chemistry Department, NOVA School of Science and Technology, FCT NOVA, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal.
José L CapeloBIOSCOPE Group, LAQV-REQUIMTE, Chemistry Department, NOVA School of Science and Technology, FCT NOVA, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal.
William LaFramboiseDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Swati SatturwarDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Dimitrios KorentzelosDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Sheldon BastackyDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Gabriela Quiroga-GarzaDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Rajiv DhirDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Jacek R WiśniewskiBiochemical Proteomics Group, Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry, Martinsried, Germany.
Carlos LodeiroBIOSCOPE Group, LAQV-REQUIMTE, Chemistry Department, NOVA School of Science and Technology, FCT NOVA, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal.
Hugo M SantosBIOSCOPE Group, LAQV-REQUIMTE, Chemistry Department, NOVA School of Science and Technology, FCT NOVA, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal. hmsantos@fct.unl.pt.ORCID 0000-0002-6032-8679
University of Pittsburgh Medical Center · USRede de Química e Tecnologia · PTMax Planck Institute of Biochemistry · DE

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 1988 to 2026
$158.0M
NCI NIH HHS P30 CA047904
6 · The paper itself

Abstract

backgroundRenal neoplasms encompass a variety of malignant and benign tumors, including many with shared characteristics. The diagnosis of these renal neoplasms remains challenging with currently available tools. In this work, we demonstrate the total protein approach (TPA) based on high-resolution mass spectrometry (MS) as a tool to improve the accuracy of renal neoplasm diagnosis.

methodsFrozen tissue biopsies of human renal tissues [clear cell renal cell carcinoma (n = 7), papillary renal cell carcinoma (n = 5), chromophobe renal cell carcinoma (n = 5), and renal oncocytoma (n = 5)] were collected for proteome analysis. Normal adjacent renal tissue (NAT, n = 5) was used as a control. Proteins were extracted and digested using trypsin, and the digested proteomes were analyzed by label-free high-resolution MS (nanoLC-ESI-HR-MS/MS). Quantitative analysis was performed by comparison between protein abundances of tumors and NAT specimens, and the label-free and standard-free TPA was used to obtain absolute protein concentrations.

resultsA total of 205 differentially expressed proteins with the potential to distinguish the renal neoplasms were found. Of these proteins, a TPA-based panel of 24, including known and new biomarkers, was selected as the best candidates to differentiate the neoplasms. As proof of concept, the diagnostic potential of PLIN2, TUBB3, LAMP1, and HK1 was validated using semi-quantitative immunohistochemistry with a total of 128 samples assessed on tissue micro-arrays.

conclusionsWe demonstrate the utility of combining high-resolution MS and the TPA as potential new diagnostic tool in the pathology of renal neoplasms. A similar TPA approach may be implemented in any cancer study with solid biopsies.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkers, TumorDiagnosis, DifferentialHumansProteomicsTandem Mass SpectrometryBiomarkers, TumorMass spectrometry-based proteomicsRenal neoplasms, ImmunohistochemistryTissue micro-array (TMA)Total protein approach (TPA)

Identifiers

PMID34482820
PMCPMC8420025
OpenAlexW3198877820

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.