Evidence map›Paper›PMID 28576842›Full record

ArticleCancer discovery2017

Toward Molecularly Driven Precision Medicine in Lung Adenocarcinoma.

David Liu, Natalie I Vokes, Eliezer M Van Allen

Abstract readComment
In one paragraph

Article in Cancer discovery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

David LiuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Natalie I VokesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Eliezer M Van AllenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. eliezerm_vanallen@dfci.harvard.edu.

Funding

Physician Scientist Training in Cancer ResearchT32CA009172 · NCI · DANA-FARBER CANCER INSTITUTE · PI Jennifer R Brown, James A. DeCaprio · 1985 to 2026
$17.1M
NCI NIH HHS T32 CA009172
6 · The paper itself

Abstract

<b/> Assessing the benefit of routine panel-based genomic sequencing of tumor tissue remains a critical need in clinical oncology. Jordan and coauthors report on 860 patients with metastatic or recurrent lung adenocarcinoma from a single institution with prospectively sequenced tumors using a targeted gene panel of >300 genes to guide therapy. Their results suggest that early prospective tumor sequencing, including non-standard-of-care predictive biomarkers combined with careful clinical annotation, can guide therapy, improve clinical outcomes, and accelerate the development of biomarkers and drugs.

Indexed as

AdenocarcinomaAdenocarcinoma of LungBiomarkers, TumorDNA, NeoplasmHumansLung NeoplasmsMolecular Targeted TherapyPrecision MedicineSequence Analysis, DNABiomarkers, TumorDNA, Neoplasm

Identifiers

PMID28576842
PMCPMC7043263

What OpenQuestion holds

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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.