Evidence map›Paper›PMID 31241916›Full record

ArticleAnalytical chemistry2019

Parallel-Reaction-Monitoring-Based Proteome-Wide Profiling of Differential Kinase Protein Expression during Prostate Cancer Metastasis in Vitro.

Weili Miao, Jun Yuan, Lin Li, Yinsheng Wang

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. NInternational journal of biological sciences · 2025
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  5. SilencingEvidence-based complementary and alternative medicine : eCAM · 2022
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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

4 authors at 1 institution in 1 country.

Weili Miao
Jun Yuan
Lin Li
University of California, Riverside · US

Funding

Quantitative Adductomics Approaches for Assessing the Occurrence and Repair of DNA AdductsR01CA210072 · NCI · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI WANG, YINSHENG · 2017 to 2021
$1.8M
NCI NIH HHS R01 CA210072
6 · The paper itself

Abstract

Prostate cancer is the most common type of cancer in men, and kinases are heavily pursued as drug targets for anticancer therapy. In this study, we applied our recently reported parallel-reaction-monitoring (PRM)-based targeted proteomic method to examine the reprogramming of the human kinome associated with bone metastasis of prostate cancer in vitro. The method displayed superior sensitivity over the shotgun-proteomic approach, and it facilitated the quantification of the relative expression of 276 kinase proteins in a pair of bone metastatic prostate cancer cells. Among the differentially expressed kinases, mitogen-activated protein kinase kinase kinase kinase 4 (MAP4K4) stimulates the migration and invasion of cultured prostate cancer cells, partially by modulating the activity of secreted matrix metalloproteinases 9 (MMP-9). We also found that the upregulation of MAP4K4 in metastatic prostate cancer cells is driven by the

Indexed as

Gene Expression ProfilingHumansIntracellular Signaling Peptides and ProteinsMaleNeoplasm MetastasisPC-3 CellsProstatic NeoplasmsProtein KinasesProtein Serine-Threonine KinasesProteomicsProto-Oncogene MasProto-Oncogene Proteins c-mycIntracellular Signaling Peptides and ProteinsMAP4K4 protein, humanMAS1 protein, humanMYC protein, humanProtein KinasesProtein Serine-Threonine KinasesProto-Oncogene MasProto-Oncogene Proteins c-myc

Identifiers

PMID31241916
PMCPMC6952173
OpenAlexW2953594784

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.