Evidence map›Paper›PMID 27068335›Full record

ArticleScientific reports2016

An Integrative Platform for Three-dimensional Quantitative Analysis of Spatially Heterogeneous Metastasis Landscapes.

Ian H Guldner, Lin Yang, Kyle R Cowdrick, Qingfei Wang, Wendy V Alvarez Barrios, Victoria R Zellmer, Yizhe Zhang, Misha Host, Fang Liu, Danny Z Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Multidimensional Imaging of Breast Cancer.Cold Spring Harbor perspectives in medicine · 2023
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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

11 authors at 1 institution in 1 country.

Ian H GuldnerDepartment of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, IN 46556, USA.
Lin YangDepartment of Computer Science and Engineering, College of Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Kyle R CowdrickDepartment of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, IN 46556, USA.
Qingfei WangDepartment of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, IN 46556, USA.
Wendy V Alvarez BarriosDepartment of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, IN 46556, USA.
Victoria R ZellmerDepartment of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, IN 46556, USA.
Yizhe ZhangDepartment of Computer Science and Engineering, College of Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Misha HostDepartment of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, IN 46556, USA.
Fang LiuMike and Josie Harper Cancer Research Institute, University of Notre Dame, 1234 N. Notre Dame Avenue, South Bend, IN 46617, USA.
Danny Z ChenMike and Josie Harper Cancer Research Institute, University of Notre Dame, 1234 N. Notre Dame Avenue, South Bend, IN 46617, USA.
Siyuan ZhangDepartment of Biological Sciences, College of Science, University of Notre Dame, Notre Dame, IN 46556, USA.
University of Notre Dame · US

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
(PQD-3) Spatiotemporal Molecular Interrogation of Early Metastatic Evolution In SituR01CA194697 · NCI · UNIVERSITY OF NOTRE DAME · PI ZHANG, SIYUAN · 2015 to 2018
$1.4M
Dissecting the Role of Src Family Kinases in Breast Cancer Brain MetastasisR00CA158066 · NCI · UNIVERSITY OF NOTRE DAME · PI ZHANG, SIYUAN · 2012 to 2014
$707k
NCATS NIH HHS UL1 TR001108NCI NIH HHS 1R01CA194697-01NCI NIH HHS 5R00CA158066-05NCI NIH HHS R00 CA158066NCI NIH HHS R01 CA194697
6 · The paper itself

Abstract

Metastatic microenvironments are spatially and compositionally heterogeneous. This seemingly stochastic heterogeneity provides researchers great challenges in elucidating factors that determine metastatic outgrowth. Herein, we develop and implement an integrative platform that will enable researchers to obtain novel insights from intricate metastatic landscapes. Our two-segment platform begins with whole tissue clearing, staining, and imaging to globally delineate metastatic landscape heterogeneity with spatial and molecular resolution. The second segment of our platform applies our custom-developed SMART 3D (Spatial filtering-based background removal and Multi-chAnnel forest classifiers-based 3D ReconsTruction), a multi-faceted image analysis pipeline, permitting quantitative interrogation of functional implications of heterogeneous metastatic landscape constituents, from subcellular features to multicellular structures, within our large three-dimensional (3D) image datasets. Coupling whole tissue imaging of brain metastasis animal models with SMART 3D, we demonstrate the capability of our integrative pipeline to reveal and quantify volumetric and spatial aspects of brain metastasis landscapes, including diverse tumor morphology, heterogeneous proliferative indices, metastasis-associated astrogliosis, and vasculature spatial distribution. Collectively, our study demonstrates the utility of our novel integrative platform to reveal and quantify the global spatial and volumetric characteristics of the 3D metastatic landscape with unparalleled accuracy, opening new opportunities for unbiased investigation of novel biological phenomena in situ.

Indexed as

AnimalsBiometryBrain NeoplasmsMiceNeoplasm MetastasisOptical ImagingPathology

Identifiers

PMID27068335
PMCPMC4828720
OpenAlexW2336891164

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.