Evidence map›Paper›PMID 26675084›Full record

ArticleScientific reports2015

Evolution of cellular morpho-phenotypes in cancer metastasis.

Pei-Hsun Wu, Jude M Phillip, Shyam B Khatau, Wei-Chiang Chen, Jeffrey Stirman, Sophie Rosseel, Katherine Tschudi, Joshua Van Patten, Michael Wong, Sonal Gupta and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Article
  2. Behavioral and Functional Profiling ofbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
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  17. Review
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  20. Article

8 more citing papers are in PubMed but not listed here.

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

14 authors.

Pei-Hsun WuJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Jude M PhillipJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Shyam B KhatauJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Wei-Chiang ChenJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Jeffrey StirmanJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Sophie RosseelJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Katherine TschudiJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Joshua Van PattenJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Michael WongJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Sonal GuptaDepartment of Pathology, UT MD Anderson Cancer Center, Houston, Texas, 77030, USA.
Alexander S BarasDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA.
Jeffrey T LeekDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Anirban MaitraDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA.
Denis WirtzJohns Hopkins Physical Sciences - Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
TRANS NETWORK PROJECTSU54CA143868 · NCI · JOHNS HOPKINS UNIVERSITY · PI SEMENZA, GREGG L · 2009 to 2013
$13.7M
Single-cell phenotyping for therapeutic stratification in pancreatic cancerR01CA174388 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2012 to 2016
$3.8M
NCATS NIH HHS UL1 TR001079NCI NIH HHS R01 CA174388NCI NIH HHS U54 CA143868NCI NIH HHS U54CA143868
6 · The paper itself

Abstract

Intratumoral heterogeneity greatly complicates the study of molecular mechanisms driving cancer progression and our ability to predict patient outcomes. Here we have developed an automated high-throughput cell-imaging platform (htCIP) that allows us to extract high-content information about individual cells, including cell morphology, molecular content and local cell density at single-cell resolution. We further develop a comprehensive visually-aided morpho-phenotyping recognition (VAMPIRE) tool to analyze irregular cellular and nuclear shapes in both 2D and 3D microenvironments. VAMPIRE analysis of ~39,000 cells from 13 previously sequenced patient-derived pancreatic cancer samples indicate that metastasized cells present significantly lower heterogeneity than primary tumor cells. We found the same morphological signature for metastasis for a cohort of 10 breast cancer cell lines. We further decipher the relative contributions to heterogeneity from cell cycle, cell-cell contact, cell stochasticity and heritable morphological variations.

Indexed as

Tumor MicroenvironmentAdultAgedAged, 80 and overBreast NeoplasmsCell CountCell Line, TumorCell ShapeComputational BiologyFemaleHumansMaleMicroscopy, FluorescenceMiddle AgedNeoplasm MetastasisNeoplasms

Identifiers

PMID26675084
PMCPMC4682070

What OpenQuestion holds

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Registered trials

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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.