A Perfusion Model to Evaluate Response to Photodynamic Therapy in 3D Tumors.

Shubhankar Nath, Michael Pigula, Tayyaba Hasan, Imran Rizvi

Abstract read

In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

1.5field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

Overcoming the effects of fluid shear stress in ovarian cancer cell lines: Doxorubicin alone or photodynamic priming to target platinum resistance.Photochemistry and photobiology
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

4 authors at 2 institutions in 1 country.

Shubhankar NathWellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.

Michael PigulaWellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.

Tayyaba HasanWellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.

Imran RizviJoint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, USA. Imran.rizvi@unc.edu.

Massachusetts General Hospital · USUniversity of North Carolina at Chapel Hill · US

Funding

Heterocellular 3D ovarian tumor arrays for imaging and mechanistic combinationsR01CA158415 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HASAN, TAYYABA · 2012 to 2016

$2.0M

Targeting Determinants of OvCa Metastases in Engineered 3D Microfluidic PlatformsR00CA175292 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RIZVI, IMRAN · 2016 to 2019

$746k

NCI NIH HHS R00 CA175292NCI NIH HHS R01 CA158415

6 · The paper itself

Abstract

Numerous cancer models have been developed to investigate the effects of mechanical stress on the biology of cells. Here we describe a protocol to fabricate a perfusion model to culture 3-dimensional (3D) ovarian cancer nodules under constant flow. The modular design of this model allows for a wide range of treatment regimens and combinations, including PDT and chemotherapy. Finally, methods for a number of readouts are detailed, allowing researchers to investigate a variety of biological and cytotoxic parameters related to mechanical stress and therapeutic modalities.

Indexed as

Antineoplastic AgentsOvarian NeoplasmsPhotochemotherapyFemaleHumansPerfusionAntineoplastic Agents3D tumorFluid stressMechanotransductionOvarian cancerPerfusion modelPhotodynamic therapyShear stress

Identifiers

PMID35505009

DOI10.1038/srep03751

OpenAlexW4285303277

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.