Evidence map›Paper›PMID 24521024›Full record

ArticleBiomarkers in medicine2014

Mass spectrometry in cancer biomarker research: a case for immunodepletion of abundant blood-derived proteins from clinical tissue specimens.

Darue A Prieto, Donald J Johann, Bih-Rong Wei, Xiaoying Ye, King C Chan, Dwight V Nissley, R Mark Simpson, Deborah E Citrin, Crystal L Mackall, W Marston Linehan and 1 more

Open access · greenAbstract read
In one paragraph

Article in Biomarkers in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
  3. Entropy (Basel, Switzerland) · 2021
    Article
  4. Article
  5. Application of Proteomics in Sarcoidosis.American journal of respiratory cell and molecular biology · 2020
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2016
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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 4 institutions in 1 country.

Darue A PrietoLaboratory of Proteomics & Analytical Technologies, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, PO Box B, Frederick, MD 21702, USA.
Donald J Johann
Bih-Rong Wei
Xiaoying Ye
King C Chan
Dwight V Nissley
R Mark Simpson
Deborah E Citrin
Crystal L Mackall
W Marston Linehan
Josip Blonder
Frederick National Laboratory for Cancer Research · USCenter for Cancer Research · USNational Cancer Institute · USUniversity of Arkansas for Medical Sciences · US

Funding

Molecular Therapeutics of Kidney Cancer: VHL Gene and Fumarate Hydratase GeneZIABC011038 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$29.8M
Molecular Pathology Research for Cancer Diagnostics and BiomarkersZICBC010953 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SIMPSON, ROBERT · 2009 to 2025
$22.9M
Molecular Therapeutics of Kidney Cancer: MET Gene and BHD GeneZIABC011043 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$20.9M
Mechanisms of Normal Tissue Toxicity From IrradiationZIABC010850 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CITRIN, DEBORAH · 2009 to 2025
$19.4M
Clinical Studies of the Molecular Genetic Basis of Kidney CancerZIABC011028 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$17.9M
Clinical Nursing and Data Management CoreZIDBC011089 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$17.4M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC011028Intramural NIH HHS ZID BC011089NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

The discovery of clinically relevant cancer biomarkers using mass spectrometry (MS)-based proteomics has proven difficult, primarily because of the enormous dynamic range of blood-derived protein concentrations and the fact that the 22 most abundant blood-derived proteins constitute approximately 99% of the total plasma protein mass. Immunodepletion of clinical body fluid specimens (e.g., serum/plasma) for the removal of highly abundant proteins is a reasonable and reproducible solution. Often overlooked, clinical tissue specimens also contain a formidable amount of highly abundant blood-derived proteins present in tissue-embedded networks of blood/lymph capillaries and interstitial fluid. Hence, the dynamic range impediment to biomarker discovery remains a formidable obstacle, regardless of clinical sample type (solid tissue and/or body fluid). Thus, we optimized and applied simultaneous immunodepletion of blood-derived proteins from solid tissue and peripheral blood, using clear cell renal cell carcinoma as a model disease. Integrative analysis of data from this approach and genomic data obtained from the same type of tumor revealed concordant key pathways and protein targets germane to clear cell renal cell carcinoma. This includes the activation of the lipogenic pathway characterized by increased expression of adipophilin (PLIN2) along with 'cadherin switching', a phenomenon indicative of transcriptional reprogramming linked to renal epithelial dedifferentiation. We also applied immunodepletion of abundant blood-derived proteins to various tissue types (e.g., adipose tissue and breast tissue) showing unambiguously that the removal of abundant blood-derived proteins represents a powerful tool for the reproducible profiling of tissue proteomes. Herein, we show that the removal of abundant blood-derived proteins from solid tissue specimens is of equal importance to depletion of body fluids and recommend its routine use in the context of biological discovery and/or cancer biomarker research. Finally, this perspective presents the background, rationale and strategy for using tissue-directed high-resolution/accuracy MS-based shotgun proteomics to detect genuine tumor proteins in the peripheral blood of a patient diagnosed with nonmetastatic cancer, employing concurrent liquid chromatography-MS analysis of immunodepleted clinical tissue and blood specimens.

Indexed as

Mass SpectrometryAntibodiesBiomarkers, TumorBlood ProteinsCarcinoma, Renal CellChromatography, High Pressure LiquidGene Expression ProfilingHumansKidney NeoplasmsProteomicsAntibodiesBiomarkers, TumorBlood Proteins

Identifiers

PMID24521024
PMCPMC4201940
OpenAlexW2132936501

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.