Evidence map›Paper›PMID 28939679›Full record

ArticleCancer research2017

Next-Generation Sequencing in the Clinical Setting Clarifies Patient Characteristics and Potential Actionability.

Cheyennedra C Bieg-Bourne, Sherri Z Millis, David E Piccioni, Paul T Fanta, Michael E Goldberg, Juliann Chmielecki, Barbara A Parker, Razelle Kurzrock

Abstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Precision oncology: the intention-to-treat analysis fallacy.European journal of cancer (Oxford, England : 1990) · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors.

Cheyennedra C Bieg-BourneSan Diego State University, San Diego, California. cbiegbourne@ucsd.edu cbourne09@gmail.com.
Sherri Z MillisFoundation Medicine, Cambridge, Massachusetts.
David E PiccioniCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, UC San Diego Moores Cancer Center, La Jolla, California.
Paul T FantaCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, UC San Diego Moores Cancer Center, La Jolla, California.
Michael E GoldbergFoundation Medicine, Cambridge, Massachusetts.
Juliann ChmieleckiFoundation Medicine, Cambridge, Massachusetts.
Barbara A ParkerCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, UC San Diego Moores Cancer Center, La Jolla, California.
Razelle KurzrockCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, UC San Diego Moores Cancer Center, La Jolla, California.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Enhancements in clinical-grade next-generation sequencing (NGS) have fueled the advancement of precision medicine in the clinical oncology field. Here, we survey the molecular profiles of 1,113 patients with diverse malignancies who successfully underwent clinical-grade NGS (236-404 genes) in an academic tertiary cancer center. Among the individual tumors examined, the majority showed at least one detectable alteration (97.2%). Among 2,045 molecular aberrations was the involvement of 302 distinct genes. The most commonly altered genes were

Indexed as

MutationBiomarkers, TumorDNA Mutational AnalysisGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansNeoplasmsPrecision MedicineReproducibility of ResultsBiomarkers, Tumor

Identifiers

PMID28939679
PMCPMC5690871

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.