Evidence map›Paper›PMID 24187485›Full record

ReviewDrug design, development and therapy2013

Advances in the proteomic discovery of novel therapeutic targets in cancer.

Shanchun Guo, Jin Zou, Guangdi Wang

Abstract readReview
In one paragraph

Review in Drug design, development and therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. BioMed research international · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. The systemic nature of CKD.Nature reviews. Nephrology · 2017
    Review
  9. Article
  10. Review
  11. Review
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.

Shanchun GuoDepartment of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Clark Atlanta University, Atlanta, GA, USA.
Jin Zou
Guangdi Wang

Funding

Research Training & Career Development ProgramU54CA118638 · NCI · MOREHOUSE SCHOOL OF MEDICINE · PI Brian M. Rivers · 2005 to 2026
$22.7M
Xavier's RCMI Cancer Research ProgramG12MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI D'AMOUR, GENE, WANG, GUANGDI · 2012 to 2018
$15.7M
THEORY OF PLANNED BEHAVIOR VS ETHNICITY /PHYSICAL ACTIVIG12RR003062 · NCRR · CLARK ATLANTA UNIVERSITY · PI BROWN, CARLTON B · 1985 to 2011
$15.5M
Technologies/Resources for Core LaboratoriesG12MD007590 · NIMHD · CLARK ATLANTA UNIVERSITY · PI KHAN, SHAFIQ A · 2012 to 2018
$7.6M
NCI NIH HHS U54 CA118638NCRR NIH HHS G12 RR003062NIMHD NIH HHS 3G12MD007595NIMHD NIH HHS 8G12MD007590NIMHD NIH HHS G12 MD007590NIMHD NIH HHS G12 MD007595
6 · The paper itself

Abstract

Proteomic approaches are continuing to make headways in cancer research by helping to elucidate complex signaling networks that underlie tumorigenesis and disease progression. This review describes recent advances made in the proteomic discovery of drug targets for therapeutic development. A variety of technical and methodological advances are overviewed with a critical assessment of challenges and potentials. A number of potential drug targets, such as baculoviral inhibitor of apoptosis protein repeat-containing protein 6, macrophage inhibitory cytokine 1, phosphoglycerate mutase 1, prohibitin 1, fascin, and pyruvate kinase isozyme 2 were identified in the proteomic analysis of drug-resistant cancer cells, drug action, and differential disease state tissues. Future directions for proteomics-based target identification and validation to be more translation efficient are also discussed.

Indexed as

Molecular Targeted TherapyAntineoplastic AgentsDisease ProgressionDrug DesignDrug Resistance, NeoplasmHumansNeoplasmsProteomicsSignal TransductionAntineoplastic Agentscancerproteomicssignaling networktherapeutic targettumorigenesis

Identifiers

PMID24187485
PMCPMC3810204

What OpenQuestion holds

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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.