Evidence map›Paper›PMID 34430874›Full record

ArticleRSC chemical biology2021

Recent Developments and Applications of Quantitative Proteomics Strategies for High-Throughput Biomolecular Analyses in Cancer Research.

Hannah N Miles, Daniel G Delafield, Lingjun Li

Open access · goldAbstract read
In one paragraph

Article in RSC chemical biology, 2021. 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
0.9field-weighted citation impact, top 29% 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. Proteomics in pancreatic cancer.Biomarker research · 2025
    Review
  4. 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

3 authors at 1 institution in 1 country.

Hannah N Miles *School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0002-0952-552X
Daniel G Delafield *Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-2989-9833
Lingjun LiSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0003-0056-3869
University of Wisconsin–Madison · US

Funding

TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
MULTIPLEX CHEMICAL TAGS FOR HIGH-THROUGHPUT GLYCAN AND GLYCOPEPTIDE QUANTITATION AND CHARACTERIZATIONU01CA231081 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2020
$1.3M
NCI NIH HHS U01 CA231081NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801NIGMS NIH HHS P41 GM108538
6 · The paper itself

Abstract

Innovations in medical technology and dedicated focus from the scientific community have inspired numerous treatment strategies for benign and invasive cancers. While these improvements often lend themselves to more positive prognoses and greater patient longevity, means for early detection and severity stratification have failed to keep pace. Detection and validation of cancer-specific biomarkers hinges on the ability to identify subtype-specific phenotypic and proteomic alterations and the systematic screening of diverse patient groups. For this reason, clinical and scientific research settings rely on high throughput and high sensitivity mass spectrometry methods to discover and quantify unique molecular perturbations in cancer patients. Discussed within is an overview of quantitative proteomics strategies and a summary of recent applications that enable revealing potential biomarkers and treatment targets in prostate, ovarian, breast, and pancreatic cancer in a high throughput manner.

Indexed as

biomarker discoverycancer researchisotopic labelingmass spectrometryQuantitative proteomicssystems biology

Identifiers

PMID34430874
PMCPMC8341969
OpenAlexW3163302046

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.