Evidence map›Paper›PMID 31108958›Full record

ArticleJournal of clinical medicine2019

Phosphoproteomic Profiling Identifies Aberrant Activation of Integrin Signaling in Aggressive Non-Type Bladder Carcinoma.

Barnali Deb, Vinuth N Puttamallesh, Kirti Gondkar, Jean P Thiery, Harsha Gowda, Prashant Kumar

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
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  11. Mass Spectrometry-Based Discovery ofMass spectrometry (Tokyo, Japan) · 2020
    Article
  12. Article
  13. Dickkopf Homolog 3Frontiers in oncology · 2019
    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

6 authors at 4 institutions in 3 countries.

Barnali DebInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India. barnali@ibioinformatics.org.
Vinuth N PuttamalleshInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India. vinuth@ibioinformatics.org.
Kirti GondkarInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India. kirti@ibioinformatics.org.
Jean P ThieryCancer Science Institute of Singapore, National University of Singapore, Centre for Translational Medicine NUS Yong Loo Lin School of Medicine, Singapore 117597, Singapore. bchtjp@nus.edu.sg.
Harsha GowdaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India. harsha@ibioinformatics.org.
Prashant KumarInstitute of Bioinformatics, International Technology Park, Bangalore 560066, India. prashant@ibioinformatics.org.
Amrita Vishwa Vidyapeetham · INInstitute of Bioinformatics · INManipal Academy of Higher Education · INNational University Cancer Institute, Singapore · SG

Funding

Department of Science and Technology, Ramanujan Fellowship, Government of India SB/S2/RJN-077/2015
6 · The paper itself

Abstract

Bladder carcinoma is highly heterogeneous and its complex molecular landscape; thus, poses a significant challenge for resolving an effective treatment in metastatic tumors. We computed the epithelial-mesenchymal transition (EMT) scores of three bladder carcinoma subtypes-luminal, basal, and non-type. The EMT score of the non-type indicated a "mesenchymal-like" phenotype, which correlates with a relatively more aggressive form of carcinoma, typified by an increased migration and invasion. To identify the altered signaling pathways potentially regulating this EMT phenotype in bladder cancer cell lines, we utilized liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based phosphoproteomic approach. Bioinformatics analyses were carried out to determine the activated pathways, networks, and functions in bladder carcinoma cell lines. A total of 3125 proteins were identified, with 289 signature proteins noted to be differentially phosphorylated (

Indexed as

activated pathwaysingenuity pathway analysismolecular subtypesphosphoproteomicsurothelial cancer

Identifiers

PMID31108958
PMCPMC6572125
OpenAlexW2946247415

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.