Evidence map›Paper›PMID 37509306›Full record

ArticleCancers2023

Development of a Smart Portable Hypoxic Chamber with Accurate Sensing, Control and Visualization of In Vitro Cell Culture for Replication of Cancer Microenvironment.

Harish Ramachandramoorthy, Tuan Dang, Ankitha Srinivasa, Kytai Truong Nguyen, Phuc Nguyen

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. 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
0.7field-weighted citation impact, top 24% 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, 3 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Harish RamachandramoorthyDepartment of Bioengineering, University of Texas, Arlington, TX 76019, USA.ORCID 0000-0002-3431-365X
Tuan DangDepartment of Computer Science, University of Texas at Arlington, Arlington, TX 76019, USA.
Ankitha SrinivasaDepartment of Bioengineering, University of Texas, Arlington, TX 76019, USA.
Kytai Truong NguyenDepartment of Bioengineering, University of Texas, Arlington, TX 76019, USA.
Phuc NguyenDepartment of Computer Science, University of Texas at Arlington, Arlington, TX 76019, USA.
The University of Texas at Arlington · US

Funding

Novel nanoparticles to stimulate therapeutic angiogenesis in peripheral arterial diseaseR01HL158204 · NHLBI · UNIVERSITY OF TEXAS ARLINGTON · PI LIU, LI, NGUYEN, KYTAI TRUONG · 2022 to 2025
$2.2M
Synergistic Upregulation of EpoR /RopE NPs for Enhancing Effective Angiogenesis to treat PADR15HL156076 · NHLBI · UNIVERSITY OF TEXAS ARLINGTON · PI NGUYEN, KYTAI TRUONG · 2021 to 2021
$443k
Cancer Prevention and Research Institute of Texas RP210206NHLBI NIH HHS R01 HL158204NHLBI NIH HHS R15 HL156076
6 · The paper itself

Abstract

Clinical resistance towards treatment is a major concern in cancer therapy. This is due to in vitro studies lacking essential microenvironmental aspects. Tumor-hypoxia is an important pathophysiological phenomenon in numerous malignant tumors. Various studies have shown the importance of a hypoxic microenvironment (HME) in cancer drug resistance and its effects on cellular signaling and metabolism pathways. Most drugs fail in transition from a laboratory to clinical trials because of the variability in the testing microenvironment conditions. It is, thus, very crucial that research work needs to replicate these conditions in vitro to test the drugs and/or drug carriers for cancer therapy. Previous works have used a portable hypoxia chamber to reduce the cell microenvironment to hypoxic conditions. These techniques lack reliability and consistency due to a lack of control and visualization. In this research, we developed a smart portable hypoxia chamber that could accurately control the oxygen inside the portable chamber and have a global visualization. The proposed hypoxia chamber provided ease of use with the ranges of 1% to 20% oxygen with increments of 0.5%, as well as reproducibility and accuracy. The chamber displayed great precision on reaching the set oxygen limit and a high stability in maintaining that set level of oxygen compared to the uncontrolled setup for extended durations (24 h). For instance, at a 2% oxygen level, our automated system maintained this level over 1400 min, whereas the oxygen level fluctuated up to 4.5% in the conventional hypoxic chamber. We have also demonstrated the pitfalls of uncontrolled and non-visualized hypoxia chamber setup and the dire need for our system. The hypoxia-induced factor (HIF-1α) expression in cancer cell lines was tested and compared between the conventional hypoxia setup and our automated hypoxia chamber. We observed that there was a twofold increase in HIF-1α expression in the automated controlled chamber compared to the conventional device. The device also provided real-time sensing, visualization and control of the chamber conditions, which could aid in complex in vitro studies.

Indexed as

automatedcancerdrug resistancehypoxiaremote monitoringtumor microenvironmentvisualization

Identifiers

PMID37509306
PMCPMC10378062
OpenAlexW4384557832

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.