Abstract A021: A human-induced pluripotent stem cell (hiPSC)-derived cardiac spheroids (hiPSC-CSs) platform for individualized cancer drug cardiotoxicity assessment.
Bibliographic record
Abstract
Abstract Safety pharmacology studies are required for new drug applications in order to protect clinical trials participants and patients from potential adverse effects of pharmaceuticals. Despite this, the drug approval rate after clinical trials was less than 12% based on the US FDA data. Of those, cardiotoxicity accounted for approximately one third of the cause for drug withdrawn. The above fates have highlighted the limited prediction function of the current safety pharmacology testing methods and the need of developing alternative methods which are more effective. Additionally, cardiotoxicity from drug treatment of cancer patients is also common and could lead to heart failure following therapy. The fate that individual patients have different cardiotoxicity response to the same cancer drug highlights the need of developing new methods for individualized cancer drug cardiotoxicity assessment. Human pluripotent stem cell (hiPSC)- derived cardiac spheroid is a three-dimensional in vitro model of the human heart, which contains diverse cardiac-like cell types and shows rhythmic contractions, thus it has emerged as a promising 3D in vitro model of the human heart. We developed a microfluidic chip-based platform to generate hiPSC-derived cardiac spheroids for cardiotoxicity testing. The microfluidic chip can form large numbers uniform hiPSCs aggregates which can subsequently be differentiated into contracting cardiac spheroids in well-controlled conditions. The chip is operated with manual pipetting and allows the cells to be observed by using conventional microscopes, making it easy to use in a regular laboratory. Medium exchange is also straightforward to perform through the microchannel of the chip during the long-term differentiation culture and drug testing of the hiPSC-CSs. The potential of our platform for individualized cardiotoxicity evaluation is demonstrated by testing cardiotoxicity of doxorubicin on hiPSC-derived cardiac spheroids. Citation Format: Chia-Hsien Hsu. A human-induced pluripotent stem cell (hiPSC)-derived cardiac spheroids (hiPSC-CSs) platform for individualized cancer drug cardiotoxicity assessment. [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: The Rise in Early-Onset Cancers—Knowledge Gaps and Research Opportunities; 2025 Dec 10-13; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(23_Suppl):Abstract nr A021.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".