Evidence map›Paper›PMID 20943616›Full record

ReviewAnnals of oncology : official journal of the European Society for Medical Oncology2010

Proteomics as a guiding tool for more effective personalized therapy.

J-M Lee, E C Kohn

Open access · bronzeAbstract readReview
In one paragraph

Review in Annals of oncology : official journal of the European Society for Medical Oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-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

20 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  3. Review
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  13. M2 isoform of pyruvate kinase (PKM2) is upregulated in Kazakh's ESCC and promotes proliferation and migration of ESCC cells.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  14. Review
  15. Clinical implications of using molecular diagnostics for ovarian cancers.Annals of oncology : official journal of the European Society for Medical Oncology · 2013
    Review
  16. Review
  17. Article
  18. Ovarian cancer: can proteomics give new insights for therapy and diagnosis?International journal of molecular sciences · 2013
    Review
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

J-M LeeMolecular Signaling Section, Medical Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA. leej6@mail.nih.gov
E C Kohn
National Cancer Institute · US

Funding

Signal Transduction Therapy--ClinicalZIASC009375 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI KOHN, ELISE C. · 2009 to 2013
$2.1M
Intramural NIH HHS
6 · The paper itself

Abstract

Ovarian cancer remains the deadliest gynecological malignancy in the Western world and is most often diagnosed at a rarely curable late stage. Examination of protein end points has been employed as an investigative mechanism to guide targeted therapy and to stratify ovarian cancer. Proteomics allows characterization of the proteins and the associated protein and peptide modifications. This has given us insight into the perturbations of signaling pathways within tumor cells and has improved the discovery of new drug targets and possible prognostic indicators of outcome and disease response to therapy. Development of validated assays that survey the genetic and/or proteomic make-up of an individual tumor will add greatly to the histological classification of the tumor and may lead to different treatment approaches tailored to the unique expression pattern of each individual patient. It is anticipated that application of proteomics may bring to reality the clinical adoption of molecular stratification, e.g. not, 'is the gene overexpressed?', but 'is the pathway upregulated?' This will be successful if validated peptide biomarkers are applied for patient selection prospectively and with inclusion of preplanned biological correlates. These events will guide future directions of proteomics as a selector and as a validator and will guide how we integrate proteomics information daily into patient care and into selecting therapy of advanced and recurrent ovarian cancer and other cancers.

Indexed as

Biomarkers, TumorCarcinoma, Ovarian EpithelialDecision MakingEfficiencyFemaleHumansNeoplasmsNeoplasms, Glandular and EpithelialOvarian NeoplasmsPrecision MedicinePrognosisProteomicsBiomarkers, Tumor

Identifiers

PMID20943616
PMCPMC3018888
OpenAlexW2109721353

What OpenQuestion holds

Textmetadata
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.