Evidence map›Paper›PMID 26820161›Full record

ArticleAnalytical chemistry2016

HistoMosaic Detecting KRAS G12V Mutation Across Colorectal Cancer Tissue Slices through in Situ PCR.

Christopher B Raub, Chen-Chung Lee, Darryl Shibata, Clive Taylor, Emil Kartalov

Abstract read
In one paragraph

Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Journal of Cancer · 2019
    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

5 authors.

Christopher B RaubDepartment of Pathology, Keck School of Medicine of the University of Southern California , 2011 Zonal Avenue, Los Angeles, California 90089, United States.
Chen-Chung LeeDepartment of Pathology, Keck School of Medicine of the University of Southern California , 2011 Zonal Avenue, Los Angeles, California 90089, United States.
Darryl ShibataDepartment of Pathology, Keck School of Medicine of the University of Southern California , 2011 Zonal Avenue, Los Angeles, California 90089, United States.
Clive TaylorDepartment of Pathology, Keck School of Medicine of the University of Southern California , 2011 Zonal Avenue, Los Angeles, California 90089, United States.
Emil KartalovDepartment of Pathology, Keck School of Medicine of the University of Southern California , 2011 Zonal Avenue, Los Angeles, California 90089, United States.

Funding

High-Throughput Single-Cell-PCR Technique for Tissue Analysis of Genetic HeterogeR21CA174416 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KARTALOV, EMIL P · 2012 to 2013
$445k
NCI NIH HHS 1R21CA174416NCI NIH HHS R21 CA174416
6 · The paper itself

Abstract

We report on HistoMosaic, a novel technique for genetic analysis of formalin-fixed, paraffin-embedded tissue slices. It combines microfluidic compartmentalization, in situ allele-specific PCR, and fluorescence microscopy. The experimental proof of principle was achieved by in situ detection of KRAS G12V mutation in colorectal cancer tissues and is presented herein. HistoMosaic offers the ability to detect mutations over the entire tissue slide simultaneously, rapidly, economically, and without selection bias, while coregistering the genetic information with the preserved morphological information. Thus, HistoMosaic has wide applicability in basic science as a tool to map genetic heterogeneity. It is also a platform to build companion diagnostics for targeted therapies in oncology, to help ensure that the right drug is given to the right patient, thereby saving healthcare resources and improving patient outcomes.

Indexed as

Genes, rasMutationColorectal NeoplasmsHumansMicroscopy, ConfocalPolymerase Chain Reaction

Identifiers

PMID26820161
PMCPMC7446286

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.