Evidence map›Paper›PMID 36680970›Full record

ArticleBiosensors & bioelectronics2023

Spatiotemporal dissection of tumor microenvironment via in situ sensing and monitoring in tumor-on-a-chip.

Lang Zhou, Lunan Liu, Muammar Ali Chang, Chao Ma, Weiqiang Chen, Pengyu Chen

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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 2 institutions in 1 country.

Lang ZhouMaterials Engineering, Department of Mechanical Engineering, Auburn University, Auburn, AL, 36849, USA.
Lunan LiuDepartment of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, 11201, USA; Department of Biomedical Engineering, New York University, Brooklyn, NY, 11201, USA.
Muammar Ali ChangMaterials Engineering, Department of Mechanical Engineering, Auburn University, Auburn, AL, 36849, USA.
Chao MaDepartment of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, 11201, USA; Department of Biomedical Engineering, New York University, Brooklyn, NY, 11201, USA.
Weiqiang ChenDepartment of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, 11201, USA; Department of Biomedical Engineering, New York University, Brooklyn, NY, 11201, USA.
Pengyu ChenMaterials Engineering, Department of Mechanical Engineering, Auburn University, Auburn, AL, 36849, USA. Electronic address: pengyuc@auburn.edu.
Auburn University · USState University of New York · US

Funding

Purchase of a modularized confocal microscopeR35GM133795 · NIGMS · AUBURN UNIVERSITY AT AUBURN · PI Pengyu Chen · 2019 to 2026
$3.3M
Purchase of spinning disk confocal microscopeR35GM133646 · NIGMS · NEW YORK UNIVERSITY · PI CHEN, WEIQIANG · 2019 to 2023
$2.0M
NIGMS NIH HHS R35 GM133646NIGMS NIH HHS R35 GM133795
6 · The paper itself

Abstract

Real-time monitoring in the tumor microenvironment provides critical insights of cancer progression and mechanistic understanding of responses to cancer treatments. However, clinical challenges and significant questions remain regarding assessment of limited clinical tissue samples, establishment of validated, controllable pre-clinical cancer models, monitoring of static versus dynamic markers, and the translation of insights gained from in vitro tumor microenvironments to systematic investigation and understanding in clinical practice. State-of-art tumor-on-a-chip strategies will be reviewed herein, and emerging real-time sensing and monitoring platforms for on-chip analysis of tumor microenvironment will also be examined. The integration of the sensors with tumor-on-a-chip platforms to provide spatiotemporal information of the tumor microenvironment and the associated challenges will be further evaluated. Though optimal integrated systems for in situ monitoring are still in evolution, great promises lie ahead that will open new paradigm for rapid, comprehensive analysis of cancer development and assist clinicians with powerful tools to guide the diagnosis, prognosis and treatment course in cancer.

Indexed as

Biosensing TechniquesNeoplasmsHumansLab-On-A-Chip DevicesTumor MicroenvironmentIn situ biosensingIntegrated systemReal-time monitoringSpatiotemporal analysisTumor microenvironmentTumor-on-a-chip

Identifiers

PMID36680970
PMCPMC9918721
OpenAlexW4313559963

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.