Evidence map›Paper›PMID 24349831›Full record

ReviewCancer biology & medicine2013

Translational genomics in cancer research: converting profiles into personalized cancer medicine.

Lalit Patel, Brittany Parker, Da Yang, Wei Zhang

Abstract readReview
In one paragraph

Review in Cancer biology & medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Different perspectives on translational genomics in personalized medicineJournal of the Turkish German Gynecological Association · 2022
    Article
  5. Review
  6. Article
  7. An overview of recommendations and translational milestones for genomic tests in cancer.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
    Review
  8. Article
  9. Advances in prostate cancer research and treatment.BioMed research international · 2014
    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

4 authors.

Lalit PatelDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; ; The University of Texas Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
Brittany ParkerDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; ; The University of Texas Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
Da YangDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
Wei ZhangDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; ; The University of Texas Graduate School of Biomedical Sciences, Houston, TX 77030, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Cancer genomics is a rapidly growing discipline in which the genetic molecular basis of malignancy is studied at the scale of whole genomes. While the discipline has been successful with respect to identifying specific oncogenes and tumor suppressors involved in oncogenesis, it is also challenging our approach to managing patients suffering from this deadly disease. Specifically cancer genomics is driving clinical oncology to take a more molecular approach to diagnosis, prognostication, and treatment selection. We review here recent work undertaken in cancer genomics with an emphasis on translation of genomic findings. Finally, we discuss scientific challenges and research opportunities emerging from findings derived through analysis of tumors with high-depth sequencing.

Indexed as

Cancergenomicspersonalized medicinetranslation

Identifiers

PMID24349831
PMCPMC3860348

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.