Evidence map›Paper›PMID 29413420›Full record

ReviewTrends in cancer2018

Transforming Biomarker Development with Exceptional Responders.

Philip Jonsson, Barry S Taylor

Abstract readReview
In one paragraph

Review in Trends in cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Philip JonssonHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Barry S TaylorHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: taylorb@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
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
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 R01 CA204749NCI NIH HHS R01 CA207244NIH HHS U54 OD020355
6 · The paper itself

Abstract

Curative therapy for cancer patients with advanced-stage disease remains elusive. While rare outlier responses to anticancer therapies exist, barriers limit our understanding of the molecular and genetic basis of such profound, life-altering responses. Here, we describe how phenotype-to-genotype studies are elucidating the molecular underpinnings of outlier responses and informing strategies to extend such unprecedented sensitivity to broader molecularly defined patient populations.

Indexed as

Biomarkers, PharmacologicalPrecision MedicineBiomarkers, TumorGenetic Association StudiesGenetic Predisposition to DiseaseGenomicsHumansMolecular Targeted TherapyNeoplasmsBiomarkers, PharmacologicalBiomarkers, Tumorexceptional responsegenomicsmolecular oncologyprecision medicinesequencing

Identifiers

PMID29413420
PMCPMC5806204

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.