Evidence map›Paper›PMID 31718568›Full record

ReviewBMC cancer2019

System-based approaches as prognostic tools for glioblastoma.

Manuela Salvucci, Zaitun Zakaria, Steven Carberry, Amanda Tivnan, Volker Seifert, Donat Kögel, Brona M Murphy, Jochen H M Prehn

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in BMC cancer, 2019. 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
1.1field-weighted citation impact, top 20% 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, 14 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

8 authors at 2 institutions in 2 countries.

Manuela SalvucciCentre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland.
Zaitun ZakariaCentre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland.
Steven CarberryCentre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland.
Amanda TivnanCentre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland.
Volker SeifertDepartment of Neurosurgery, Frankfurt University Hospital, Frankfurt am Main, Germany.
Donat KögelDepartment of Neurosurgery, Frankfurt University Hospital, Frankfurt am Main, Germany.
Brona M MurphyCentre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland.
Jochen H M PrehnCentre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, 123 St Stephen's Green, Dublin 2, Ireland. prehn@rcsi.ie.ORCID http://orcid.org/0000-0003-3479-7794
Royal College of Surgeons in Ireland · IEGoethe University Frankfurt · DE

Funding

Brain Tumor Ireland -European Union's Seventh Framework Programme for research, technological development, and demonstration 306021 (APO-DECIDE)International Training Network supported by the European Union's H2020 Programme for research 766069Science Foundation Ireland 13/IA/1881Science Foundation Ireland 14/IA/2582
6 · The paper itself

Abstract

backgroundThe evasion of apoptosis is a hallmark of cancer. Understanding this process holistically and overcoming apoptosis resistance is a goal of many research teams in order to develop better treatment options for cancer patients. Efforts are also ongoing to personalize the treatment of patients. Strategies to confirm the therapeutic efficacy of current treatments or indeed to identify potential novel additional options would be extremely beneficial to both clinicians and patients. In the past few years, system medicine approaches have been developed that model the biochemical pathways of apoptosis. These systems tools incorporate and analyse the complex biological networks involved. For their successful integration into clinical practice, it is mandatory to integrate systems approaches with routine clinical and histopathological practice to deliver personalized care for patients.

resultsWe review here the development of system medicine approaches that model apoptosis for the treatment of cancer with a specific emphasis on the aggressive brain cancer, glioblastoma.

conclusionsWe discuss the current understanding in the field and present new approaches that highlight the potential of system medicine approaches to influence how glioblastoma is diagnosed and treated in the future.

Indexed as

ApoptosisBiomarkers, TumorBrain NeoplasmsDisease ManagementDisease SusceptibilityGlioblastomaHumansModels, BiologicalOutcome Assessment, Health CarePrecision MedicinePrognosisSystems BiologyBiomarkers, TumorApoptosisComputational modelGlioblastomaMolecular signaturesNetwork modelNumerical simulationPrecision oncologyPrognostic biomarkerSystems biologySystems medicine

Identifiers

PMID31718568
PMCPMC6852738
OpenAlexW2988965153

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.