Evidence map›Paper›PMID 23226573›Full record

ArticleGenes & cancer2012

Deciphering Phosphotyrosine-Dependent Signaling Networks in Cancer by SH2 Profiling.

Kazuya Machida, Malik Khenkhar, Peter Nollau

Open access · bronzeAbstract read
In one paragraph

Article in Genes & cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Kazuya MachidaRaymond and Beverly Sacker Laboratory of Genetics and Molecular Medicine, Department of Genetics and Developmental Biology, University of Connecticut Health Center, Farmington, CT, USA.
Malik Khenkhar
Peter Nollau
University Medical Center Hamburg-Eppendorf · DEUConn Health · US

Funding

A novel molecular diagnostic approach to classify lung cancers and predict responRC1CA146843 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI HAURA, ERIC B., MAYER, BRUCE J. · 2009 to 2010
$983k
NCI NIH HHS RC1 CA146843
6 · The paper itself

Abstract

It has been a decade since the introduction of SH2 profiling, a modular domain-based molecular diagnostics tool. This review covers the original concept of SH2 profiling, different analytical platforms, and their applications, from the detailed analysis of single proteins to broad screening in translational research. Illustrated by practical examples, we discuss the uniqueness and advantages of the approach as well as its limitations and challenges. We provide guidance for basic researchers and oncologists who may consider SH2 profiling in their respective cancer research, especially for those focusing on tyrosine phosphoproteomics. SH2 profiling can serve as an alternative phosphoproteomics tool to dissect aberrant tyrosine kinase pathways responsible for individual malignancies, with the goal of facilitating personalized diagnostics for the treatment of cancer.

Indexed as

cancerphosphoproteomicsSH2 domainSH2 profilingtyrosine phosphorylation

Identifiers

PMID23226573
PMCPMC3513784
OpenAlexW2168652471

What OpenQuestion holds

Textmetadata
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.