Evidence map›Paper›PMID 29092956›Full record

ArticleCancer research2017

"Personalized Cancer Therapy": A Publicly Available Precision Oncology Resource.

Katherine C Kurnit, Ann M Bailey, Jia Zeng, Amber M Johnson, Md Abu Shufean, Lauren Brusco, Beate C Litzenburger, Nora S Sánchez, Yekaterina B Khotskaya, Vijaykumar Holla and 6 more

Abstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
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  15. Next-generation sequencing for the general cancer patient.Clinical advances in hematology & oncology : H&O · 2019
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Precision Oncology Decision Support: Current Approaches and Strategies for the Future.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    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

16 authors.

Katherine C KurnitGynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ann M BaileySheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jia ZengSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Amber M JohnsonSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Md Abu ShufeanSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Lauren BruscoSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Beate C LitzenburgerSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Nora S SánchezSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Yekaterina B KhotskayaSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Vijaykumar HollaSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Amy SimpsonSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Gordon B MillsSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
John MendelsohnSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Elmer BernstamSchool of Biomedical Informatics and Medical School, The University of Texas Health Science Center at Houston, Houston, Texas.
Kenna ShawSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Funda Meric-BernstamSheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas. fmeric@mdanderson.org.

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
Training of Academic Gynecologic OncologistsT32CA101642 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANIL K SOOD, Kathleen Schmeler · 2005 to 2026
$9.2M
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 T32 CA101642NCI NIH HHS U01 CA180964
6 · The paper itself

Abstract

High-throughput genomic and molecular profiling of tumors is emerging as an important clinical approach. Molecular profiling is increasingly being used to guide cancer patient care, especially in advanced and incurable cancers. However, navigating the scientific literature to make evidence-based clinical decisions based on molecular profiling results is overwhelming for many oncology clinicians and researchers. The Personalized Cancer Therapy website (www.personalizedcancertherapy.org) was created to provide an online resource for clinicians and researchers to facilitate navigation of available data. Specifically, this resource can be used to help identify potential therapy options for patients harboring oncogenic genomic alterations. Herein, we describe how content on www.personalizedcancertherapy.org is generated and maintained. We end with case scenarios to illustrate the clinical utility of the website. The goal of this publicly available resource is to provide easily accessible information to a broad oncology audience, as this may help ease the information retrieval burden facing participants in the precision oncology field.

Indexed as

Data MiningEvidence-Based MedicineHumansInternetMedical OncologyMolecular Targeted TherapyNeoplasmsPrecision MedicineReproducibility of Results

Identifiers

PMID29092956
PMCPMC5774617

What OpenQuestion holds

Textmetadata
LicenceTDM
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.