| Title: |
A flexible electronic strain sensor for the real-time monitoring of tumor regression |
| Authors: |
Abramson, Alex; Chan, Carmel T.; Khan, Yasser; Mermin-Bunnell, Alana; Matsuhisa, Naoji; Fong, Robyn; Shad, Rohan; Hiesinger, William; Mallick, Parag; Gambhir, Sanjiv Sam; Bao, Zhenan |
| Source: |
Science Advances ; volume 8, issue 37 ; ISSN 2375-2548 |
| Publisher Information: |
American Association for the Advancement of Science (AAAS) |
| Publication Year: |
2022 |
| Description: |
Assessing the efficacy of cancer therapeutics in mouse models is a critical step in treatment development. However, low-resolution measurement tools and small sample sizes make determining drug efficacy in vivo a difficult and time-intensive task. Here, we present a commercially scalable wearable electronic strain sensor that automates the in vivo testing of cancer therapeutics by continuously monitoring the micrometer-scale progression or regression of subcutaneously implanted tumors at the minute time scale. In two in vivo cancer mouse models, our sensor discerned differences in tumor volume dynamics between drug- and vehicle-treated tumors within 5 hours following therapy initiation. These short-term regression measurements were validated through histology, and caliper and bioluminescence measurements taken over weeklong treatment periods demonstrated the correlation with longer-term treatment response. We anticipate that real-time tumor regression datasets could help expedite and automate the process of screening cancer therapies in vivo. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1126/sciadv.abn6550 |
| Availability: |
https://doi.org/10.1126/sciadv.abn6550; https://www.science.org/doi/pdf/10.1126/sciadv.abn6550 |
| Accession Number: |
edsbas.A1BBBF72 |
| Database: |
BASE |