Evidence map›Paper›PMID 28887051›Full record

ReviewTrends in molecular medicine2017

Precision Oncology: The Road Ahead.

Daniela Senft, Mark D M Leiserson, Eytan Ruppin, Ze'ev A Ronai

Abstract readReview
In one paragraph

Review in Trends in molecular medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing 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

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

  1. Pooled it
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  7. CSIE: cancer subtyping via inference and ensemble.Briefings in bioinformatics · 2026
    Article
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  20. Genomic medicine advances for brain tumors.International journal of clinical oncology · 2024
    Review

34 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

4 authors.

Daniela SenftTumor Initiation and Maintenance Program, NCI designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA.
Mark D M LeisersonMicrosoft Research New England, Cambridge, MA 02142, USA; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Eytan RuppinSchool of Computer Sciences and Sackler School of Medicine, Tel Aviv University, Tel Aviv, 69978, Israel; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Ze'ev A RonaiTumor Initiation and Maintenance Program, NCI designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA; Technion Integrated Cancer Center, Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, 31096, Israel. Electronic address: zeev@ronailab.net.

Funding

Rewired Signaling at the Nexus of Melanoma Metastasis and ResistanceR35CA197465 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI RONAI, ZEEV A. · 2016 to 2022
$7.9M
NCI NIH HHS R35 CA197465
6 · The paper itself

Abstract

Current efforts in precision oncology largely focus on the benefit of genomics-guided therapy. Yet, advances in sequencing techniques provide an unprecedented view of the complex genetic and nongenetic heterogeneity within individual tumors. Herein, we outline the benefits of integrating genomic and transcriptomic analyses for advanced precision oncology. We summarize relevant computational approaches to detect novel drivers and genetic vulnerabilities, suitable for therapeutic exploration. Clinically relevant platforms to functionally test predicted drugs/drug combinations for individual patients are reviewed. Finally, we highlight the technological advances in single cell analysis of tumor specimens. These may ultimately lead to the development of next-generation cancer drugs, capable of tackling the hurdles imposed by genetic and phenotypic heterogeneity on current anticancer therapies.

Indexed as

NeoplasmsTranscriptomeAnimalsAntineoplastic AgentsDrug DiscoveryGenomicsHumansMedical OncologyAntineoplastic Agents

Identifiers

PMID28887051
PMCPMC5718207

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.