Evidence map›Paper›PMID 28187282›Full record

ReviewCell2017

Implementing Genome-Driven Oncology.

David M Hyman, Barry S Taylor, José Baselga

Abstract readReview
In one paragraph

Review in Cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 271 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
271citing papers in PubMed, 2 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

271 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Cancers · 2026
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211 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

3 authors.

David M HymanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA.
Barry S TaylorHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
José BaselgaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA. Electronic address: baselgaj@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Yu Chen, MICHAEL J MORRIS · 2001 to 2026
$63.0M
MSKCC Pilot Center for Precision Disease ModelingU54OD020355 · OD · SLOAN-KETTERING INST CAN RESEARCH · PI LOWE, SCOTT W., SOLIT, DAVID B. · 2015 to 2019
$9.9M
Unraveling resistance to PI3K-alpha inhibitors in breast cancerR01CA190642 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SCALTRITI, MAURIZIO · 2015 to 2019
$2.2M
Understanding Long Tail Driver Mutations in CancerR01CA204749 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SCHULTZ, NIKOLAUS · 2017 to 2021
$2.0M
Targeting AKT-Mutant Human CancersR01CA207244 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SOLIT, DAVID B. · 2016 to 2020
$2.0M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA092629NCI NIH HHS R01 CA190642NCI NIH HHS R01 CA204749NCI NIH HHS R01 CA207244NIH HHS U54 OD020355
6 · The paper itself

Abstract

Early successes in identifying and targeting individual oncogenic drivers, together with the increasing feasibility of sequencing tumor genomes, have brought forth the promise of genome-driven oncology care. As we expand the breadth and depth of genomic analyses, the biological and clinical complexity of its implementation will be unparalleled. Challenges include target credentialing and validation, implementing drug combinations, clinical trial designs, targeting tumor heterogeneity, and deploying technologies beyond DNA sequencing, among others. We review how contemporary approaches are tackling these challenges and will ultimately serve as an engine for biological discovery and increase our insight into cancer and its treatment.

Indexed as

GenomicsPrecision MedicineAnimalsDrug Resistance, NeoplasmGenetic HeterogeneityHigh-Throughput Nucleotide SequencingHumansMolecular Targeted TherapyMutation, MissenseNeoplasmsSequence Analysis, DNAbasket studiesgenome-driven oncologynext-generation sequencingPrecision medicinetargeted therapy

Identifiers

PMID28187282
PMCPMC5463457

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.