Evidence map›Paper›PMID 28600338›Full record

ReviewBlood2017

The relative utilities of genome-wide, gene panel, and individual gene sequencing in clinical practice.

Frank C Kuo, Brenton G Mar, R Coleman Lindsley, Neal I Lindeman

Open access · bronzeAbstract readReview
In one paragraph

Review in Blood, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

25 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Review
  3. Artificial intelligence in cardiology: a bibliometric study.American journal of translational research · 2024
    Article
  4. Article
  5. Risk stratifying MDS in the time of precision medicine.Hematology. American Society of Hematology. Education Program · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Targeted massively parallel sequencing of mature lymphoid neoplasms: assessment of empirical application and diagnostic utility in routine clinical practice.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  12. Exosomes in the Healthy and Malignant Bone Marrow Microenvironment.Advances in experimental medicine and biology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Tumor mutation burden andAnnals of translational medicine · 2020
    Article
  17. Article
  18. Genetic Markers in Lung Cancer Diagnosis: A Review.International journal of molecular sciences · 2020
    Review
  19. Detection of the KITModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    Article
  20. 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

4 authors at 3 institutions in 1 country.

Frank C KuoDepartment of Pathology, Brigham and Women's Hospital, Boston, MA.
Brenton G MarDana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-3857-9324
R Coleman LindsleyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; and.ORCID 0000-0001-9822-806X
Neal I LindemanDepartment of Pathology, Brigham and Women's Hospital, Boston, MA.ORCID 0000-0002-7092-6859
Brigham and Women's Hospital · USBoston Children's Hospital · USHarvard University · US

Funding

Determining the Role of BCOR Mutations in Myeloid MalignanciesK08CA204734 · NCI · DANA-FARBER CANCER INST · PI LINDSLEY, ROBERT COLEMAN · 2016 to 2020
$813k
NCI NIH HHS K08 CA204734
6 · The paper itself

Abstract

Advances in technology that have transpired over the past 2 decades have enabled the analysis of cancer samples for genomic alterations to understand their biologic function and to translate that knowledge into clinical practice. With the power to analyze entire genomes in a clinically relevant time frame and with manageable costs comes the question of whether we ought to and when. This review focuses on the relative merits of 3 approaches to molecular diagnostics in hematologic malignancies: indication-specific single gene assays, gene panel assays that test for genes selected for their roles in cancer, and genome-wide assays that broadly analyze the tumor exomes or genomes. After addressing these in general terms, we review specific use cases in myeloid and lymphoid malignancies to highlight the utility of single gene testing and/or larger panels.

Indexed as

ExomeGenome-Wide Association StudyHematologic NeoplasmsHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID28600338
PMCPMC5813726
OpenAlexW2621581553

What OpenQuestion holds

Textmetadata
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.