Evidence map›Paper›PMID 25286976›Full record

ReviewNature reviews. Clinical oncology2014

Translational research in oncology--10 years of progress and future prospects.

James H Doroshow, Shivaani Kummar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. COVID-19, Social Justice, and Clinical Cancer Research.Journal of the National Cancer Institute · 2021
    Article
  13. [Research progress of radiomics with artificial intelligence in precise diagnosis and treatment of hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2020
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. [Quantitative analysis of hepatocellular carcinomas pathological grading in non-contrast magnetic resonance images].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2019
    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.

James H Doroshow1] Division of Cancer Treatment and Diagnosis, Room 3A-44, Building 31, 31 Center Drive, National Cancer Institute, NIH, Bethesda, MD 20892, USA. [2] Developmental Therapeutics Branch of the Center for Cancer Research, Room 3A-44, Building 31, 31 Center Drive, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Shivaani KummarDivision of Cancer Treatment and Diagnosis, Room 3A-44, Building 31, 31 Center Drive, National Cancer Institute, NIH, Bethesda, MD 20892, USA.

Funding

Phase 01 Clinical TrialsZIABC011078 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DOROSHOW, JAMES · 2009 to 2025
$9.0M
6 · The paper itself

Abstract

International efforts to sequence the genomes of various human cancers have been broadly deployed in drug discovery programmes. Diagnostic tests that predict the value of the molecularly targeted anticancer agents used in such programmes are conceived and validated in parallel with new small-molecule treatments and immunotherapies. This approach has been aided by better preclinical cancer models; an enhanced appreciation of the complex interactions that exist between tumour cells and their microenvironment; the elucidation of interactions between many of the genetic drivers of cancer, including oncogenes and tumour suppressors; and recent insights into the genetic heterogeneity of human tumours made possible by extraordinary improvements in DNA-sequencing techniques. These advances are being employed in the first generation of genomic clinical trials that will examine the feasibility of matching a broad range of systemic therapies to specific molecular tumour characteristics. More-extensive molecular characterization of tumours and their supporting matrices are anticipated to become standard aspects of oncological practice, permitting continuous molecular re-evaluations of human malignancies on a patient-by-patient and treatment-by-treatment basis. We review selected developments in translational cancer biology, diagnostics, and therapeutics that have occurred over the past decade and offer our thoughts on future prospects for the next few years.

Indexed as

Antineoplastic AgentsDrug DiscoveryForecastingHumansMedical OncologyMolecular Targeted TherapyNeoplasmsPrecision MedicineTranslational Research, BiomedicalAntineoplastic Agents

Identifiers

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.