Evidence map›Paper›PMID 28265786›Full record

ArticleCancer metastasis reviews2017

Precision medicine driven by cancer systems biology.

Fabian V Filipp

Open access · hybridAbstract read
In one paragraph

Article in Cancer metastasis reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 47 citations in OpenAlex.

  1. Beyond DNA damage: 3D tumor models and the integrin mechanobiology of radioresistance.Journal of experimental & clinical cancer research : CR · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Systems Biology and Experimental Model Systems of Cancer.Journal of personalized medicine · 2020
    Review
  9. Panel 3: Genomics, precision medicine and targeted therapies.International journal of pediatric otorhinolaryngology · 2020
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Classification of Widely and Rarely Expressed Genes with Recurrent Neural Network.Computational and structural biotechnology journal · 2019
    Article
  18. Frontiers in pigment cell and melanoma research.Pigment cell & melanoma research · 2018
    Article
  19. The triennial International Pigment Cell Conference (IPCC).Journal of translational medicine · 2018
    Article
  20. Review
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

1 author at 1 institution in 1 country.

Fabian V FilippSystems Biology and Cancer Metabolism, Program for Quantitative Systems Biology, University of California Merced, 2500 North Lake Road, Merced, CA, 95343, USA. filipp@ucmerced.edu.
University of California, Merced · US

Funding

Tumor pyruvate kinase as key regulator of cancer metabolismR00CA154887 · NCI · UNIVERSITY OF CALIFORNIA, MERCED · PI FILIPP, FABIAN VOLKER · 2012 to 2014
$725k
Tumor pyruvate kinase as key regulator of cancer metabolismK99CA154887 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI FILIPP, FABIAN VOLKER · 2011 to 2012
$177k
NCI NIH HHS K99 CA154887NCI NIH HHS R00 CA154887
6 · The paper itself

Abstract

Molecular insights from genome and systems biology are influencing how cancer is diagnosed and treated. We critically evaluate big data challenges in precision medicine. The melanoma research community has identified distinct subtypes involving chronic sun-induced damage and the mitogen-activated protein kinase driver pathway. In addition, despite low mutation burden, non-genomic mitogen-activated protein kinase melanoma drivers are found in membrane receptors, metabolism, or epigenetic signaling with the ability to bypass central mitogen-activated protein kinase molecules and activating a similar program of mitogenic effectors. Mutation hotspots, structural modeling, UV signature, and genomic as well as non-genomic mechanisms of disease initiation and progression are taken into consideration to identify resistance mutations and novel drug targets. A comprehensive precision medicine profile of a malignant melanoma patient illustrates future rational drug targeting strategies. Network analysis emphasizes an important role of epigenetic and metabolic master regulators in oncogenesis. Co-occurrence of driver mutations in signaling, metabolic, and epigenetic factors highlights how cumulative alterations of our genomes and epigenomes progressively lead to uncontrolled cell proliferation. Precision insights have the ability to identify independent molecular pathways suitable for drug targeting. Synergistic treatment combinations of orthogonal modalities including immunotherapy, mitogen-activated protein kinase inhibitors, epigenetic inhibitors, and metabolic inhibitors have the potential to overcome immune evasion, side effects, and drug resistance.

Indexed as

HumansMelanomaMolecular Targeted TherapyNeoplasmsPrecision MedicineSystems BiologyARID1AARID2Big dataBRAFCancer metabolismCancer systems biologyCombination therapyCSDCTLA4DriverEpigenomicsEZH2ImmunotherapyMEKMelanomaNeoantigenOncometabolitePD1PDL1Personalized medicinePRC2Precision medicineSCNASubtypeSWI/SNF

Identifiers

PMID28265786
PMCPMC5385204
OpenAlexW2592680049

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.