Evidence map›Paper›PMID 28127872›Full record

ArticleProteomics2017

Quantitative proteomics of breast tumors: Tissue quality assessment to clinical biomarkers.

Yi Chen, David Britton, Elizabeth R Wood, Stephen Brantley, Anthony Magliocco, Ian Pike, John M Koomen

Abstract read
In one paragraph

Article in Proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Proteomics for cancer drug design.Expert review of proteomics · 2019
    Article
  5. Review
  6. Article
  7. 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

7 authors at 4 institutions in 2 countries.

Yi ChenMolecular Oncology, Moffitt Cancer Center, Tampa, FL, USA.
David BrittonProteome Sciences plc., Cobham, UK.
Elizabeth R WoodMolecular Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Stephen BrantleyPathology, M2Gen and Moffitt Cancer Center, Tampa, FL, USA.
Anthony MaglioccoPathology, M2Gen and Moffitt Cancer Center, Tampa, FL, USA.
Ian PikeProteome Sciences plc., Cobham, UK.
John M KoomenMolecular Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Moffitt Cancer Center · USMolecular Oncology (United States) · USCobham (United Kingdom) · GBQueen Mary University of London · GB

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

Liquid chromatography-selected reaction monitoring mass spectrometry (LC-SRM) is not only a proven tool for clinical chemistry, but also a versatile method to enhance the capability to quantify biomarkers for tumor biology research. As the treatment of cancer continues to evolve, the ability to assess multiple biomarkers to assign cancer phenotypes based on the genetic background and the signaling of the individual tumor becomes paramount to our ability to treat the patient. In breast cancer, the American Society of Clinical Oncology has defined biomarkers for patient assessment to guide selection of therapy: estrogen receptor, progesterone receptor, and the HER2/Neu receptor tyrosine kinase; therefore, these proteins were selected for LC-SRM assay development. Detailed molecular characterization of these proteins is necessary for patient treatment, so expression and phosphorylation assays have been developed and applied. In addition, other LC-SRM assays were developed to further evaluate tumor biology (e.g. Ki-67 for proliferation and vimentin for tumor aggressiveness related to the epithelial-to-mesenchymal transition). These measurements combined with biomarkers for tissue quality and histological content are implemented in a three-tier multiplexed assay platform, which is translated from cell line models into frozen tumor tissues banked from breast cancer patients.

Indexed as

Biomarkers, TumorBreast NeoplasmsCell Line, TumorChromatography, LiquidEnzyme-Linked Immunosorbent AssayFemaleHumansLigandsNeoplasm ProteinsPhosphorylationProteomicsReproducibility of ResultsBiomarkers, TumorLigandsNeoplasm ProteinsBreast cancer biomarkersEstrogen receptorHER2Liquid chromatography-selected reaction monitoring mass spectrometryQuantitative proteomics

Identifiers

PMID28127872
PMCPMC5996774
OpenAlexW2582489308

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.