Evidence map›Paper›PMID 27609668›Full record

ArticleScientific reports2016

Computational imaging reveals mitochondrial morphology as a biomarker of cancer phenotype and drug response.

Randy J Giedt, Paolo Fumene Feruglio, Divya Pathania, Katherine S Yang, Aoife Kilcoyne, Claudio Vinegoni, Timothy J Mitchison, Ralph Weissleder

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 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 58 citations in OpenAlex.

  1. Neural cell state modulation bybioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Dysregulation of Mitochondrial Function in Cancer Cells.International journal of molecular sciences · 2025
    Review
  4. The link between Mitochondria and Sarcopenia.Journal of physiology and biochemistry · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Mitochondrial heterogeneity in diseases.Signal transduction and targeted therapy · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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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

8 authors at 4 institutions in 2 countries.

Randy J GiedtCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge St., CPZN 5206, Boston, MA 02114, USA.
Paolo Fumene FeruglioCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge St., CPZN 5206, Boston, MA 02114, USA.
Divya PathaniaCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge St., CPZN 5206, Boston, MA 02114, USA.
Katherine S YangCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge St., CPZN 5206, Boston, MA 02114, USA.
Aoife KilcoyneCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge St., CPZN 5206, Boston, MA 02114, USA.
Claudio VinegoniCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge St., CPZN 5206, Boston, MA 02114, USA.
Timothy J MitchisonDepartment of Systems Biology, Harvard Medical School, 200 Longwood Ave, Boston, MA 02115, USA.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge St., CPZN 5206, Boston, MA 02114, USA.
Center for Systems Biology · USHarvard University · USMassachusetts General Hospital · USUniversity of Verona · IT

Funding

Training Grant in Molecular Imaging Research (MGH/HMS)T32CA079443 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2000 to 2025
$10.1M
Quantitative Analysis of Cell Death Pathways in CancerP01CA139980 · NCI · HARVARD MEDICAL SCHOOL · PI WEISSLEDER, MD, PHD, RALPH · 2010 to 2014
$9.0M
Quantitative analysis of pharmacological mechanism by intravital imagingR01CA164448 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2011 to 2015
$4.0M
NCI NIH HHS P01 CA139980NCI NIH HHS R01 CA164448NCI NIH HHS T32 CA079443
6 · The paper itself

Abstract

Mitochondria, which are essential organelles in resting and replicating cells, can vary in number, mass and shape. Past research has primarily focused on short-term molecular mechanisms underlying fission/fusion. Less is known about longer-term mitochondrial behavior such as the overall makeup of cell populations' morphological patterns and whether these patterns can be used as biomarkers of drug response in human cells. We developed an image-based analytical technique to phenotype mitochondrial morphology in different cancers, including cancer cell lines and patient-derived cancer cells. We demonstrate that (i) cancer cells of different origins, including patient-derived xenografts, express highly diverse mitochondrial phenotypes; (ii) a given phenotype is characteristic of a cell population and fairly constant over time; (iii) mitochondrial patterns correlate with cell metabolic measurements and (iv) therapeutic interventions can alter mitochondrial phenotypes in drug-sensitive cancers as measured in pre- versus post-treatment fine needle aspirates in mice. These observations shed light on the role of mitochondrial dynamics in the biology and drug response of cancer cells. On the basis of these findings, we propose that image-based mitochondrial phenotyping can provide biomarkers for assessing cancer phenotype and drug response.

Indexed as

Mitochondrial DynamicsAnimalsBiomarkersCell Line, TumorDisease Models, AnimalDrug MonitoringHumansImage Processing, Computer-AssistedMiceNeoplasmsNeoplasm TransplantationPathologyBiomarkers

Identifiers

PMID27609668
PMCPMC5017129
OpenAlexW2517673862

What OpenQuestion holds

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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.