Evidence map›Paper›PMID 28197533›Full record

ArticleMolecular & cellular oncology2017

Deciphering tumor heterogeneity from FFPE tissues: Its promise and challenges.

Alan J Simmons, Ken S Lau

Abstract read
In one paragraph

Article in Molecular & cellular oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Single-Cell RNA Sequencing with Spatial Transcriptomics of Cancer Tissues.International journal of molecular sciences · 2022
    Review
  3. Article
  4. Review
  5. Single-Cell Computational Strategies for Lineage Reconstruction in Tissue Systems.Cellular and molecular gastroenterology and hepatology · 2018
    Review
  6. 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

2 authors.

Alan J SimmonsEpithelial Biology Center and Department of Cell and Developmental Biology, Vanderbilt University School of Medicine , Nashville, TN, USA.
Ken S LauEpithelial Biology Center and Department of Cell and Developmental Biology, Vanderbilt University School of Medicine , Nashville, TN, USA.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Understanding and Controlling p120 Dysfunction in CRCP50CA095103 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2002 to 2017
$33.6M
Vanderbilt Proteome Characterization CenterU24CA159988 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LIEBLER, DANIEL C · 2011 to 2016
$13.9M
Tuft cell heterogeneity in function, lineage, and structure in ileal inflammatory diseaseR01DK103831 · NIDDK · VANDERBILT UNIVERSITY · PI LAU, KEN S · 2016 to 2024
$4.4M
NCATS NIH HHS UL1 TR000445NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA095103NCI NIH HHS U24 CA159988NIDDK NIH HHS R01 DK103831
6 · The paper itself

Abstract

An impediment to the understanding of cancer is the heterogeneous nature of cell populations within a tumor microenvironment. We reported a method to query protein signaling in single epithelial cells from formalin-fixed paraffin-embedded (FFPE) colorectal cancer tissues. Here, we discuss the feasibility and limitations of this approach for investigating signaling state heterogeneity.

Indexed as

Colorectal cancerdisaggregationepithelial cellsFFPEmass cytometrysignal transductionsingle cellsolid tissuessystems biologytumor heterogeneity

Identifiers

PMID28197533
PMCPMC5286981

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.