Evidence map›Paper›PMID 31867322›Full record

ArticleFrontiers in bioengineering and biotechnology2019

Quantitative Visualization of Hypoxia and Proliferation Gradients Within Histological Tissue Sections.

Mark Zaidi, Fred Fu, Dan Cojocari, Trevor D McKee, Bradly G Wouters

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

27 citing papers in PubMed, 44 citations in OpenAlex.

  1. Trial
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  9. Unveiling the mechanisms and challenges of cancer drug resistance.Cell communication and signaling : CCS · 2024
    Review
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  19. Article
  20. The Hallmarks of Cancer as Ecologically Driven Phenotypes.Frontiers in ecology and evolution · 2021
    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 at 3 institutions in 1 country.

Mark ZaidiDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
Fred FuSTTARR Innovation Centre, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Dan CojocariDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
Trevor D McKeeSTTARR Innovation Centre, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Bradly G WoutersDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
Princess Margaret Cancer Centre · CAUniversity Health Network · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The formation of hypoxic microenvironments within solid tumors is known to contribute to radiation resistance, chemotherapy resistance, immune suppression, increased metastasis, and an overall poor prognosis. It is therefore crucial to understand the spatial and molecular mechanisms that contribute to tumor hypoxia formation to improve the efficacy of radiation treatment, develop hypoxia-directed therapies, and increase patient survival. The objective of this study is to present a number of complementary novel methods for quantifying tumor hypoxia and proliferation in multiplexed immunofluorescence images, especially in relation to the location of perfused blood vessels. A standard marker analysis strategy is to take a positive pixel count approach, in which a threshold for positive stain is used to compute a positive area fraction for hypoxia. This work is a reassessment of that approach, utilizing not only cell segmentation but also distance to nearest blood vessel in order to incorporate spatial information into the analysis. We describe a reproducible pipeline for the visualization and quantitative analysis of hypoxia using a vessel distance analysis approach. This methodological pipeline can serve to further elucidate the relationship between vessel distance and microenvironment-linked markers such as hypoxia and proliferation, can help to quantify parameters relating to oxygen consumption and hypoxic tolerance in tissues, as well as potentially serve as a hypothesis generating tool for future studies testing hypoxia-linked markers.

Indexed as

biological gradientdigital pathologydistance mappinghypoxiaimage analysisimmunofluorescencetissue cytometrytumor microenvironment

Identifiers

PMID31867322
PMCPMC6906162
OpenAlexW2994379228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.