Evidence map›Paper›PMID 26767919›Full record

ArticleCancer genetics

Digitally guided microdissection aids somatic mutation detection in difficult to dissect tumors.

Katherine Geiersbach, Nils Adey, Noah Welker, Danielle Elsberry, Elisabeth Malmberg, Sumie Edwards, Erinn Downs-Kelly, Mohamed Salama, Mary Bronner

Abstract readComparative Study
In one paragraph

Article in Cancer genetics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Artificial intelligence-augmented histopathologic review using image analysis to optimize DNA yield from formalin-fixed paraffin-embedded slides.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Article
  7. Review
  8. Enhancing Tumor Content through Tumor Macrodissection.Journal of visualized experiments : JoVE · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. 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

9 authors at 4 institutions in 1 country.

Katherine GeiersbachDepartment of Pathology, University of Utah Health Sciences Center, 1950 Circle of Hope, RM N3100, Salt Lake City, UT 84112, USA. Electronic address: katherine.geiersbach@aruplab.com.
Nils AdeyAvanSciBio LLC, 1290 West 2320 South, Salt Lake City, UT 84119, USA.
Noah WelkerCounsyl, Inc., 180 Kimball Way, South San Francisco, CA 94080, USA.
Danielle ElsberryWisconsin State Lab of Hygiene, University of Wisconsin-Madison, 465 Henry Mall, Madison, WI 53706, USA.
Elisabeth MalmbergARUP Institute for Clinical and Experimental Pathology, 500 Chipeta Way, Salt Lake City, UT 84108, USA.
Sumie EdwardsARUP Laboratories, 500 Chipeta Way, Salt Lake City, UT 84108, USA.
Erinn Downs-KellyDepartment of Pathology, University of Utah Health Sciences Center, 1950 Circle of Hope, RM N3100, Salt Lake City, UT 84112, USA.
Mohamed SalamaDepartment of Pathology, University of Utah Health Sciences Center, 1950 Circle of Hope, RM N3100, Salt Lake City, UT 84112, USA.
Mary BronnerDepartment of Pathology, University of Utah Health Sciences Center, 1950 Circle of Hope, RM N3100, Salt Lake City, UT 84112, USA.
University of Utah · USARUP Laboratories (United States) · USAvanSci Bio (United States) · USUniversity of Wisconsin–Madison · US

Funding

Mesodissection Device Phase IIR44GM100645 · NIGMS · AVANSCI BIO, LLC · PI ADEY, NILS B · 2013 to 2013
$598k
Mesodissection DeviceR43GM100645 · NIGMS · AVANSCI BIO, LLC · PI ADEY, NILS B · 2012 to 2012
$213k
Automated Macrodissection DeviceR43GM101790 · NIGMS · AVANSCI BIO, LLC · PI ADEY, NILS B · 2012 to 2012
$148k
NIGMS NIH HHS 1R43GM100645-01NIGMS NIH HHS 1R43GM101790-01NIGMS NIH HHS 2R44GM100645-02NIGMS NIH HHS R43 GM100645NIGMS NIH HHS R43 GM101790NIGMS NIH HHS R44 GM100645
6 · The paper itself

Abstract

Molecular genetic testing on formalin fixed, paraffin embedded (FFPE) tumors frequently requires dissection of tumor from tissue sections mounted on glass slides. In a process referred to as "manual macrodissection," the pathologist reviews an H&E stained slide at the light microscope and marks areas for dissection, and then the laboratory performs manual dissection from adjacent sections without the aid of a microscope, using the marked reference H&E slide as a guide. Manual macrodissection may be inadequate for tissue sections with low tumor content. We compared manual macrodissection to a new method, digitally guided microdissection, on a series of 32 FFPE pancreatic cancer samples. KRAS hotspot mutation profiling was performed using the Sequenom MassARRAY system (Agena Bioscience). Digitally guided microdissection was performed on multiple smaller areas of high tumor content selected from within the larger areas marked for manual macrodissection. The KRAS mutant allele fraction and estimated neoplastic cellularity were significantly higher in samples obtained by digitally guided microdissection (p < 0.01), and 7 of the 32 samples (22%) showed a detectable mutation only with digitally guided microdissection. DNA quality and yield per cubic millimeter of dissected tissue were similar for both dissection methods. These results indicate a significant improvement in tumor content achievable with digitally guided microdissection.

Indexed as

MutationDNA, NeoplasmHumansMass SpectrometryMicrodissectionPancreatic NeoplasmsParaffin EmbeddingTissue FixationDNA, Neoplasmdigital pathologyformalin fixed paraffin embeddedmacrodissectionMicrodissection

Identifiers

PMID26767919
PMCPMC4738015
OpenAlexW2205031518

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.