Evidence map›Paper›PMID 35997278›Full record

ArticleLab on a chip2022

Automated biophysical classification of apoptotic pancreatic cancer cell subpopulations by using machine learning approaches with impedance cytometry.

Carlos Honrado, Armita Salahi, Sara J Adair, John H Moore, Todd W Bauer, Nathan S Swami

Open access · hybridAbstract read
In one paragraph

Article in Lab on a chip, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.4field-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

23 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Machine-Learning-Aided Advanced Electrochemical Biosensors.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  6. Article
  7. Article
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  13. Pharmaceuticals (Basel, Switzerland) · 2023
    Article
  14. Review
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  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

6 authors at 1 institution in 1 country.

Carlos HonradoElectrical & Computer Engineering, University of Virginia, Charlottesville, USA. nswami@virginia.edu.ORCID 0000-0002-4151-2147
Armita SalahiElectrical & Computer Engineering, University of Virginia, Charlottesville, USA. nswami@virginia.edu.
Sara J AdairSurgery, School of Medicine, University of Virginia, Charlottesville, USA.
John H MooreElectrical & Computer Engineering, University of Virginia, Charlottesville, USA. nswami@virginia.edu.
Todd W BauerSurgery, School of Medicine, University of Virginia, Charlottesville, USA.
Nathan S SwamiElectrical & Computer Engineering, University of Virginia, Charlottesville, USA. nswami@virginia.edu.ORCID 0000-0002-0492-1160
University of Virginia · US

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Jay William FOX · 1987 to 2026
$72.1M
The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
Optimizing Inter-Microbial Antagonisms to Control Clostridium Difficile InfectionR21AI130902 · NIAID · UNIVERSITY OF VIRGINIA · PI SWAMI, NATHAN, WARREN, CIRLE ALCANTARA · 2017 to 2018
$413k
NCATS NIH HHS UL1 TR003015NCI NIH HHS L30 CA124093NCI NIH HHS P30 CA044579NIAID NIH HHS R21 AI130902
6 · The paper itself

Abstract

Unrestricted cell death can lead to an immunosuppressive tumor microenvironment, with dysregulated apoptotic signaling that causes resistance of pancreatic cancer cells to cytotoxic therapies. Hence, modulating cell death by distinguishing the progression of subpopulations under drug treatment from viable towards early apoptotic, late apoptotic, and necrotic states is of interest. While flow cytometry after fluorescent staining can monitor apoptosis with single-cell sensitivity, the background of non-viable cells within non-immortalized pancreatic tumors from xenografts can confound distinction of the intensity of each apoptotic state. Based on single-cell impedance cytometry of drug-treated pancreatic cancer cells that are obtained from tumor xenografts with differing levels of gemcitabine sensitivity, we identify the biophysical metrics that can distinguish and quantify cellular subpopulations at the early apoptotic

Indexed as

Pancreatic NeoplasmsApoptosisElectric ImpedanceFlow CytometryHumansMachine LearningTumor Microenvironment

Identifiers

PMID35997278
PMCPMC9514012
OpenAlexW4292737309

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.