Evidence map›Paper›PMID 29212833›Full record

ReviewCold Spring Harbor molecular case studies2018

Personalized cancer therapy-leveraging a knowledge base for clinical decision-making.

Ecaterina Ileana Dumbrava, Funda Meric-Bernstam

Abstract readReview
In one paragraph

Review in Cold Spring Harbor molecular case studies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Current trends in cancer immunotherapy: a literature-mining analysis.Cancer immunology, immunotherapy : CII · 2020
    Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
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  8. Review
  9. A Review of Cryptotanshinone and its Nanoformulation in Cancer Therapy.Anti-cancer agents in medicinal chemistry · 2025
    Review
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  17. Review
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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.

Ecaterina Ileana DumbravaDepartment of Investigational Cancer Therapeutics, The University of Texas, MD Anderson Cancer Center, Houston, Texas 77030, USA.
Funda Meric-BernstamDepartment of Investigational Cancer Therapeutics, The University of Texas, MD Anderson Cancer Center, Houston, Texas 77030, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Informatics to enable routine personalized cancer therapyU01CA180964 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BERNSTAM, ELMER V., MERIC-BERNSTAM, FUNDA · 2013 to 2015
$964k
NCATS NIH HHS UL1 TR000371NCI NIH HHS P30 CA016672NCI NIH HHS U01 CA180964
6 · The paper itself

Abstract

Next-generation sequencing (NGS), also known as massively parallel sequencing, is rapidly being incorporated into oncology practice. Interpretation of genomic reports and selecting treatments based on the tumor's genomic analysis becomes more and more complicated for the treating oncologist because of the use of larger panels covering dozens to hundreds of genes and the amount of rapidly emerging clinical/translational data. To help guide personalized treatments in oncology, The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy (IPCT) at MD Anderson Cancer Center has developed a knowledge base, available at https://personalizedcancertherapy.org or https://pct.mdanderson.org (PCT). This knowledge base provides information on the function of common genomic alterations and their therapeutic implications. Here, we describe how such genomic information can be used by health-care providers to identify genomically matched therapies.

Indexed as

Precision MedicineAnimalsClinical Decision-MakingClinical Trials as TopicDisease ManagementDrug DiscoveryDrugs, InvestigationalGenetic Association StudiesGenetic Predisposition to DiseaseGenetic TestingGenomicsHigh-Throughput Nucleotide SequencingHumansKnowledge BasesMedical OncologyNeoplasmsDrugs, Investigational

Identifiers

PMID29212833
PMCPMC5880252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.