Evidence map›Paper›PMID 31724305›Full record

ReviewSmall (Weinheim an der Bergstrasse, Germany)2019

Cancer Modeling-on-a-Chip with Future Artificial Intelligence Integration.

Kirsten Lee Fetah, Benjamin J DiPardo, Eve-Mary Kongadzem, James S Tomlinson, Adam Elzagheid, Mohammed Elmusrati, Ali Khademhosseini, Nureddin Ashammakhi

Open access · bronzeAbstract readReview
In one paragraph

Review in Small (Weinheim an der Bergstrasse, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 107 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Exploring bone-tumor interactions through 3DJournal of bone oncology · 2025
    Review
  8. Engineering in vitro vascular microsystems.Microsystems & nanoengineering · 2025
    Review
  9. Review
  10. Review
  11. Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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 3 countries.

Kirsten Lee FetahCenter for Minimally Invasive Therapeutics, University of California, Los Angeles, CA, 90095, USA.
Benjamin J DiPardoDepartment of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
Eve-Mary KongadzemSchool of Technology and Innovations, University of Vaasa, FI-65101, Vaasa, Finland.
James S TomlinsonDepartment of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
Adam ElzagheidBiotechnology Research Center, Libyan Authority for Research, Science and Technology, Tripoli, Libya.
Mohammed ElmusratiSchool of Technology and Innovations, University of Vaasa, FI-65101, Vaasa, Finland.
Ali KhademhosseiniCenter for Minimally Invasive Therapeutics, University of California, Los Angeles, CA, 90095, USA.ORCID 0000-0001-6322-8852
Nureddin AshammakhiCenter for Minimally Invasive Therapeutics, University of California, Los Angeles, CA, 90095, USA.
California NanoSystems Institute · USUniversity of California, Los Angeles · USUniversity of Vaasa · FICenter for Solar Energy Research and Studies · LY

Funding

Microengineered Osteons for Bone Tissue EngineeringR01AR057837 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YANG, YUNZHI · 2010 to 2018
$5.1M
Engineering personalized micro-tumor ecosystemsU01CA214411 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI KHADEMHOSSEINI, ALI, SENGUPTA, SHILADITYA · 2017 to 2021
$3.5M
Hemorrhage control in the irreversible anticoagulated patientR01HL137193 · NHLBI · MAYO CLINIC ARIZONA · PI OKLU, RAHMI · 2017 to 2021
$3.0M
Engineering highly elastic surgical sealants with hemostatic propertiesR01HL140618 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNABI, NASIM, KHADEMHOSSEINI, ALI · 2018 to 2021
$2.8M
Treatment of arterial aneurysms using an injectable biomaterialR01HL140951 · NHLBI · MAYO CLINIC ARIZONA · PI KHADEMHOSSEINI, ALI, OKLU, RAHMI · 2018 to 2021
$2.6M
Engineering a naturally derived and highly adhesive surgical sealantR01EB023052 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNABI, NASIM, KHADEMHOSSEINI, ALI · 2017 to 2022
$2.4M
Targeted chemotherapy delivery and captureR01EB024403 · NIBIB · MAYO CLINIC ARIZONA · PI KHADEMHOSSEINI, ALI, OKLU, RAHMI · 2017 to 2020
$2.2M
3D printed muscle-bone organ implant for treating large injuriesR01AR073135 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DOKMECI, MEHMET REMZI, JANG, HAE LIN · 2018 to 2022
$2.2M
Rapid 3D bioprinting of biomimetic vascularized tissue constructsR01EB021857 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN, DOKMECI, MEHMET REMZI · 2016 to 2019
$2.1M
High-Throughput Microenvironment Regulation for ChondrogenesisR01AR066193 · NIAMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ALSBERG, EBEN, KHADEMHOSSEINI, ALI · 2015 to 2020
$2.1M
Opposing RNAi Molecule Gradient Constructs to Repair Osteochondral DefectsR01AR069564 · NIAMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ALSBERG, EBEN · 2016 to 2021
$1.8M
Multifunctional dressing for treatment of diabetic woundsR01GM126831 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI DOKMECI, MEHMET REMZI, TAMAYOL, ALI · 2018 to 2021
$1.3M
NCI NIH HHS U01 CA214411NHLBI NIH HHS R01 HL137193NHLBI NIH HHS R01 HL140618NHLBI NIH HHS R01 HL140951NIAMS NIH HHS R01 AR057837NIAMS NIH HHS R01 AR066193NIAMS NIH HHS R01 AR069564NIAMS NIH HHS R01 AR073135NIBIB NIH HHS R01 EB021857NIBIB NIH HHS R01 EB023052NIBIB NIH HHS R01 EB024403NIGMS NIH HHS R01 GM126831
6 · The paper itself

Abstract

Cancer is one of the leading causes of death worldwide, despite the large efforts to improve the understanding of cancer biology and development of treatments. The attempts to improve cancer treatment are limited by the complexity of the local milieu in which cancer cells exist. The tumor microenvironment (TME) consists of a diverse population of tumor cells and stromal cells with immune constituents, microvasculature, extracellular matrix components, and gradients of oxygen, nutrients, and growth factors. The TME is not recapitulated in traditional models used in cancer investigation, limiting the translation of preliminary findings to clinical practice. Advances in 3D cell culture, tissue engineering, and microfluidics have led to the development of "cancer-on-a-chip" platforms that expand the ability to model the TME in vitro and allow for high-throughput analysis. The advances in the development of cancer-on-a-chip platforms, implications for drug development, challenges to leveraging this technology for improved cancer treatment, and future integration with artificial intelligence for improved predictive drug screening models are discussed.

Indexed as

Artificial IntelligenceMicrofluidicsModels, BiologicalDrug DevelopmentHumansNeoplasmsTumor Microenvironmentartificial intelligencecancer modelschemotherapymicrofluidicsorgan-on-a-chip

Identifiers

PMID31724305
PMCPMC6929691
OpenAlexW2983773948

What OpenQuestion 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 OpenQuestion graph.