Evidence map›Paper›PMID 26528881›Full record

ReviewCA: a cancer journal for clinicians

Translating cancer genomes and transcriptomes for precision oncology.

Sameek Roychowdhury, Arul M Chinnaiyan

Open access · diamondAbstract readReview
In one paragraph

Review in CA: a cancer journal for clinicians. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

96 citing papers in PubMed, 1 synthesis or guideline pooled it, 168 citations in OpenAlex.

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36 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Sameek RoychowdhuryAssistant Professor, Department of Internal Medicine, Division of Medical Oncology, The Ohio State University, Columbus, OH.
Arul M ChinnaiyanDirector, Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI.
American Cancer Society · USThe Ohio State University · US

Funding

VACCINIA PSA FOR ANDROGEN-MODULATED POST-SURGICAL RECURRENCE OF PROSTATE CANCERP50CA069568 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COONEY, KATHLEEN A · 1995 to 2013
$31.3M
Tissue/InformaticsP50CA186786 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert Timothy Dess · 2014 to 2026
$27.6M
Prostate Cancer Biomarker and Imaging Validation Alliance: Emory University, University of Alabama Birmingham, and University of Texas SouthwesternU01CA113913 · NCI · EMORY UNIVERSITY · PI Martin G. Sanda · 2005 to 2026
$16.4M
Sequencing, Analysis, and Interpretation of SequencingUM1HG006508 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PIENTA, KENNETH J., ROBERTS, SCOTT · 2013 to 2016
$7.8M
NCI NIH HHS P50 CA069568NCI NIH HHS P50 CA186786NCI NIH HHS P50CA69568NCI NIH HHS U01 CA113913NCI NIH HHS UO1 CA113913NHGRI NIH HHS UM1 HG006508NHGRI NIH HHS UM1HG006508-01A1
6 · The paper itself

Abstract

Understanding the molecular landscape of cancer has facilitated the development of diagnostic, prognostic, and predictive biomarkers for clinical oncology. Developments in next-generation DNA sequencing technologies have increased the speed and reduced the cost of sequencing the nucleic acids of cancer cells. This has unlocked opportunities to characterize the genomic and transcriptomic landscapes of cancer for basic science research through projects like The Cancer Genome Atlas. The cancer genome includes DNA-based alterations, such as point mutations or gene duplications. The cancer transcriptome involves RNA-based alterations, including changes in messenger RNAs. Together, the genome and transcriptome can provide a comprehensive view of an individual patient's cancer that is beginning to impact real-time clinical decision-making. The authors discuss several opportunities for translating this basic science knowledge into clinical practice, including a molecular classification of cancer, heritable risk of cancer, eligibility for targeted therapies, and the development of innovative, genomic-based clinical trials. In this review, key applications and new directions are outlined for translating the cancer genome and transcriptome into patient care in the clinic.

Indexed as

GenomeTranscriptomeBiomarkers, TumorClinical Trials as TopicHumansNeoplasmsSequence Analysis, DNATranslational Research, BiomedicalBiomarkers, Tumorgene fusiongenomicsneoplasmpatient caretranscriptome

Identifiers

PMID26528881
PMCPMC4713245
OpenAlexW1936243389

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.