Evidence map›Paper›PMID 28159918›Full record

ArticleOncotarget2017

Protein drug target activation homogeneity in the face of intra-tumor heterogeneity: implications for precision medicine.

Erika Maria Parasido, Alessandra Silvestri, Vincenzo Canzonieri, Claudio Belluco, Maria Grazia Diodoro, Massimo Milione, Flavia Melotti, Ruggero De Maria, Lance Liotta, Emanuel F Petricoin and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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
1.2field-weighted citation impact, top 19% 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, 9 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

11 authors at 5 institutions in 2 countries.

Erika Maria ParasidoCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
Alessandra SilvestriCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
Vincenzo CanzonieriDepartment of Pathology, CRO-National Cancer Institute, Aviano, Italy.
Claudio BellucoDepartment of Surgical Oncology, CRO-National Cancer Institute, Aviano, Italy.
Maria Grazia DiodoroDepartment of Pathology, Istituto Nazionale Tumori Regina Elena, Roma, Italy.
Massimo MilioneDepartment of Pathology, Fondazione IRCCS Istituto Nazionale Tumori, Milano, Italy.
Flavia MelottiDepartment of Pathology, Fondazione IRCCS Istituto Nazionale Tumori, Milano, Italy.
Ruggero De MariaDepartment of Pathology, Sacred Heart Catholic University of Rome, Roma, Italy.
Lance LiottaCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
Emanuel F PetricoinCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
Mariaelena PierobonCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
George Mason University · USCentro di Riferimento Oncologico · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITUniversità Cattolica del Sacro Cuore · ITInstituto Nazionale Tumori Regina Elena

Funding

Protein painting identifies therapeutic targets at protein-protein interfacesR33CA206937 · NCI · GEORGE MASON UNIVERSITY · PI LIOTTA, LANCE ALLEN · 2016 to 2018
$1.2M
NCI NIH HHS R33 CA206937
6 · The paper itself

Abstract

introductionRecent studies indicated tumors may be comprised of heterogeneous molecular subtypes and incongruent molecular portraits may emerge if different areas of the tumor are sampled. This study explored the impact of intra-tumoral heterogeneity in terms of activation/phosphorylation of FDA approved drug targets and downstream kinase substrates. MATERIAL AND

methodsTwo independent sets of liver metastases from colorectal cancer were used to evaluate protein kinase-driven signaling networks within different areas using laser capture microdissection and reverse phase protein array.

resultsUnsupervised hierarchical clustering analysis indicated that the signaling architecture and activation of the MAPK and AKT-mTOR pathways were consistently maintained within different regions of the same biopsy. Intra-patient variability of the MAPK and AKT-mTOR pathway were <1.06 fold change, while inter-patients variability reached fold change values of 5.01.

conclusionsProtein pathway activation mapping of enriched tumor cells obtained from different regions of the same tumor indicated consistency and robustness independent of the region sampled. This suggests a dominant protein pathway network may be activated in a high percentage of the tumor cell population. Given the genomic intra-tumoral variability, our data suggest that protein/phosphoprotein signaling measurements should be integrated with genomic analysis for precision medicine based analysis.

Indexed as

Antineoplastic AgentsDrug DiscoveryProtein KinasesProteomicsCluster AnalysisHumansPrecision MedicineSignal TransductionAntineoplastic AgentsProtein Kinasesintra-tumor heterogeneitykinase signalinglaser capture microdissectionpersonalized therapyreverse phase protein microarray

Identifiers

PMID28159918
PMCPMC5564706
OpenAlexW2566846785

What OpenQuestion holds

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LicenceCC BY
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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.