Evidence map›Paper›PMID 28603644›Full record

ArticleNPJ systems biology and applications2017

Neighbours of cancer-related proteins have key influence on pathogenesis and could increase the drug target space for anticancer therapies.

Dezső Módos, Krishna C Bulusu, Dávid Fazekas, János Kubisch, Johanne Brooks, István Marczell, Péter M Szabó, Tibor Vellai, Péter Csermely, Katalin Lenti and 2 more

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. When neighbors play a role: A systems-level analysis of protein interactions conditioning cancer driver mutation effects.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  6. Construction and contextualization approaches for protein-protein interaction networks.Computational and structural biotechnology journal · 2022
    Review
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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

12 authors at 4 institutions in 3 countries.

Dezső MódosDepartment of Morphology and Physiology, Department of Health Science, Semmelweis University, Budapest, Hungary.
Krishna C BulusuCentre for Molecular Informatics, University of Cambridge, Cambridge, UK.
Dávid FazekasDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary.
János KubischDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary.
Johanne BrooksGut Health and Food Safety Programme, Institute of Food Research, Norwich Research Park, Norwich, UK.
István Marczell2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary.
Péter M Szabó2nd Department of Internal Medicine, Semmelweis University, Budapest, Hungary.
Tibor VellaiDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary.
Péter CsermelyDepartment of Medical Chemistry, Semmelweis University, Budapest, Hungary.
Katalin LentiDepartment of Morphology and Physiology, Department of Health Science, Semmelweis University, Budapest, Hungary.
Andreas BenderCentre for Molecular Informatics, University of Cambridge, Cambridge, UK.
Tamás KorcsmárosDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary.
Semmelweis University · HUEötvös Loránd University · HUUniversity of Cambridge · GBUniversity of East Anglia · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/F/00042262Wellcome Trust
6 · The paper itself

Abstract

Even targeted chemotherapies against solid cancers show a moderate success increasing the need to novel targeting strategies. To address this problem, we designed a systems-level approach investigating the neighbourhood of mutated or differentially expressed cancer-related proteins in four major solid cancers (colon, breast, liver and lung). Using signalling and protein-protein interaction network resources integrated with mutational and expression datasets, we analysed the properties of the direct and indirect interactors (first and second neighbours) of cancer-related proteins, not found previously related to the given cancer type. We found that first neighbours have at least as high degree, betweenness centrality and clustering coefficient as cancer-related proteins themselves, indicating a previously unknown central network position. We identified a complementary strategy for mutated and differentially expressed proteins, where the affect of differentially expressed proteins having smaller network centrality is compensated with high centrality first neighbours. These first neighbours can be considered as key, so far hidden, components in cancer rewiring, with similar importance as mutated proteins. These observations strikingly suggest targeting first neighbours as a novel strategy for disrupting cancer-specific networks. Remarkably, our survey revealed 223 marketed drugs already targeting first neighbour proteins but applied mostly outside oncology, providing a potential list for drug repurposing against solid cancers. For the very central first neighbours, whose direct targeting would cause several side effects, we suggest a cancer-mimicking strategy by targeting their interactors (second neighbours of cancer-related proteins, having a central protein affecting position, similarly to the cancer-related proteins). Hence, we propose to include first neighbours to network medicine based approaches for (but not limited to) anticancer therapies.

Identifiers

PMID28603644
PMCPMC5460138
OpenAlexW2582978931

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.