Evidence map›Paper›PMID 27223079›Full record

ReviewOncotarget2016

Future paradigms for precision oncology.

Giannoula Lakka Klement, Knarik Arkun, Dalibor Valik, Tina Roffidal, Ali Hashemi, Christos Klement, Paolo Carmassi, Edward Rietman, Ondrej Slaby, Pavel Mazanek and 13 more

Abstract readCase ReportsReview
In one paragraph

Review in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. 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

23 authors.

Giannoula Lakka KlementDepartment of Pediatric Hematology/Oncology, Floating Hospital for Children at Tufts Medical Center, Boston, MA, USA.
Knarik ArkunDepartment of Pathology, Tufts Medical Center, Boston, MA, USA.
Dalibor ValikDepartment of Paediatric Oncology, University Hospital Brno, Brno, Czech Republic.
Tina RoffidalDepartment of Pediatric Hematology/Oncology, Floating Hospital for Children at Tufts Medical Center, Boston, MA, USA.
Ali HashemiCSTS Health Care®, Toronto, Canada.
Christos KlementCSTS Health Care®, Toronto, Canada.
Paolo CarmassiCSTS Health Care®, Toronto, Canada.
Edward RietmanCSTS Health Care®, Toronto, Canada.
Ondrej SlabyDepartment of Paediatric Oncology, University Hospital Brno, Brno, Czech Republic.
Pavel MazanekDepartment of Paediatric Oncology, University Hospital Brno, Brno, Czech Republic.
Peter MudryDepartment of Paediatric Oncology, University Hospital Brno, Brno, Czech Republic.
Gabor Kovacs2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary.
Csongor KissDepartment of Pediatric Hematology-Oncology, Institute of Pediatrics, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Koen NorgaAntwerp University Hospital, Edegem, Belgium.
Dobrin KonstantinovSpecialized Children's Oncohematology Hospital, Sofia, Bulgaria.
Nicolas AndréDepartment of Pediatric Hematology and Oncology, AP-HM, Marseille, France.
Irene SlavcDepartment of Pediatrics, Medical University of Vienna, Vienna, Austria.
Henk van Den BergDepartment of Pediatric Oncology, Emma Children Hospital Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
Alexandra KolenovaDepartment of Pediatric Oncology, Comenius University, Bratislava, Slovakia.
Leos KrenDepartment of Pathology, University Hospital Brno, Brno, Czech Republic.
Jiri TumaFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Jarmila SkotakovaCentral European Institute of Technology, Masaryk University, Brno, Czech Republic.
Jaroslav SterbaDepartment of Paediatric Oncology, University Hospital Brno, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research has exposed cancer to be a heterogeneous disease with a high degree of inter-tumoral and intra-tumoral variability. Individual tumors have unique profiles, and these molecular signatures make the use of traditional histology-based treatments problematic. The conventional diagnostic categories, while necessary for care, thwart the use of molecular information for treatment as molecular characteristics cross tissue types.This is compounded by the struggle to keep abreast the scientific advances made in all fields of science, and by the enormous challenge to organize, cross-reference, and apply molecular data for patient benefit. In order to supplement the site-specific, histology-driven diagnosis with genomic, proteomic and metabolomics information, a paradigm shift in diagnosis and treatment of patients is required.While most physicians are open and keen to use the emerging data for therapy, even those versed in molecular therapeutics are overwhelmed with the amount of available data. It is not surprising that even though The Human Genome Project was completed thirteen years ago, our patients have not benefited from the information. Physicians cannot, and should not be asked to process the gigabytes of genomic and proteomic information on their own in order to provide patients with safe therapies. The following consensus summary identifies the needed for practice changes, proposes potential solutions to the present crisis of informational overload, suggests ways of providing physicians with the tools necessary for interpreting patient specific molecular profiles, and facilitates the implementation of quantitative precision medicine. It also provides two case studies where this approach has been used.

Indexed as

Medical OncologyPrecision MedicineAntineoplastic Combined Chemotherapy ProtocolsChildClinical Trials as TopicFemaleHumansMaleNeoplasmsResearch Designgenomicsmetronomic chemotherapyprecision medicinetargeted therapy

Identifiers

PMID27223079
PMCPMC5216837

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.