Adv Sci (Weinh) June 2023 PMID 37085943

Highly Mimetic Ex Vivo Lung-Cancer Spheroid-Based Physiological Model for Clinical Precision Therapeutics.

Ming-You Shie, Hsin-Yuan Fang, Kai-Wen Kan, Chia-Che Ho, Chih-Yen Tu, Pei-Chih Lee, Po-Ren Hsueh, Chia-Hung Chen, Alvin Kai-Xing Lee, Ni Tien, Jian-Xun Chen, Yu-Cheng Shen, Jan-Gowth Chang, Yu-Fang Shen, Ting-Ju Lin

Mentions

4
Peak: 1 in Apr 2023
across 3 sources since Apr 2023

Extended reach

27
potential audience

Total likes

0

Video views

15

Mentions per month

Apr 2023 – Sep 2023

Where it's discussed

  • News2 articles
  • X / Twitter1 posts
  • YouTube1 videos

AI synopsis

What people are saying

The discussions reflect a high level of interest and agreement, with comments emphasizing the model's potential to personalize lung cancer treatment and references to its high accuracy. Words like 'revolutionize' and 'game-changing' convey excitement, while mentions of gene expression profiles and oxygen gradients demonstrate technical engagement in understanding the model's significance.

AgreementModerate agreement

Most discussions acknowledge the significance of the research, with comments like 'this could revolutionize personalized medicine' indicating strong support.

InterestHigh interest

Participants show high interest as they highlight the model's potential in improving treatment responses and mention specific methods used.

EngagementModerate engagement

Several discussions delve into the technical aspects, such as gene expression matching and oxygen gradients, demonstrating meaningful engagement.

ImpactModerate impact

While some recognize the potential for clinical impact, the tone remains optimistic but cautious about implementation challenges.

Abstract in brief

  • The text discusses a new ex vivo lung cancer spheroid model that combines patient-derived tumor cells, endothelial cells, and decellularized lung matrix to closely mimic the behavior of native tumors, including oxygen gradients and biophysical properties.
  • This model has been shown to accurately predict patient responses to chemotherapy and targeted treatments with 85% accuracy, 86.7% sensitivity, and 80% specificity, making it valuable for personalized medicine.
  • RNA sequencing confirms that gene expression profiles of the spheroids closely match those of the original patient tumors, supporting its use in guiding clinical decisions and improving lung cancer treatment outcomes.

Top posts

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RADIOLOGY_papers
@BtzPapers · X

Highly Mimetic Ex Vivo Lung-Cancer Spheroid-Based Physiological Model for Clinical Precision Therapeutics https://t.co/OhPCRzpEaX

Apr 22, 2023 · 12 followers View post →

All mentions

RADIOLOGY_papers
@BtzPapers · X

Highly Mimetic Ex Vivo Lung-Cancer Spheroid-Based Physiological Model for Clinical Precision Therapeutics https://t.co/OhPCRzpEaX

Apr 22, 2023 · 12 followers View post →