Abstract 6383: Targeting radiation-induced fibrosis: Exploring promising therapeutic avenues and innovative assessment methods
Bibliographic record
Abstract
Abstract Introduction: Radiation therapy is a vital cancer treatment for nearly 50% of patients, yet it poses a significant challenge in the form of radiation-induced fibrosis (RF). RF affects about 60% of those undergoing radiation, leading to painful scarring from excessive collagen accumulation. In head and neck cancer patients, as an example, RF reduces tissue flexibility, causing limited neck mobility and impaired swallowing. Furthermore, approximately 30% of patients also face disease recurrence post-radiation, with RF increasing surgical complications. Our laboratory previously identified the role of reduced fatty acid oxidation in RF (Zhao et al; Nat Metab;1(1):147 2019), offering a promising avenue for future drug development. We described the potential therapeutic benefit of caffeic acid phenethyl ester (CAPE) in countering pro-fibrotic metabolic changes. Our current objective is to develop more effective lead compounds to mitigate RF. Methods: Collagen expression, utilized as a surrogate marker for fibrosis, was quantified using ELISA, Western blot analysis, and RT-qPCR. Metabolic changes were assessed by examining the expression levels of PPARG and CD36. CAPE-like analogs were derived from an in-house collection, a commercially available library, and structure-activity relationship (SAR) analyses. In vivo, RF was induced in the hindlimbs of mice through exposure to 40 Gy, followed by weekly X-ray evaluations of hindlimb angles for 16 weeks. During X-ray assessments, both hindlimbs were subjected to a 5 g weight to enable measurement of the joint angle between the femur and tibia (wherein higher acute angles were a measure of worsening fibrosis). Skin samples from irradiated and unirradiated limbs were collected for the evaluation of collagen deposition, utilizing Picro Sirius staining followed by polarized microscopy. Results: Amongst 200 newly synthesized analogs, approximately one-third successfully reduced collagen secretion in human primary dermal fibroblasts. The most promising compounds exhibited a half-maximum inhibition concentration (IC50) for collagen secretion from 1 to 5µM. They also decreased intracellular collagen production and gene expression, associated with upregulation of PPARG and CD36 transcripts. The joint angle measurements in vivo revealed three distinct phases in the development of dermal fibrosis: 1) inflammatory; 2) recovery; and 3) fibrotic phases. Conclusions: We have successfully synthesized novel and potent analogs of CAPE which were able to reduce secretion of collagen. Furthermore, a novel method for the in vivo assessment of fibrosis was also developed. This innovative approach will facilitate the detailed assessments of future compounds capable of reducing collagen deposition in vivo, thereby providing an innovative avenue to mitigate one of the most pressing late normal tissue toxicities of radiation therapy. Citation Format: Pierre-Antoine Bissey, Leonardo Massignan, Ross Mancini, Wei Shi, Justin Williams, Mark Reed, Kenneth W. Yip, Fei-Fei Liu. Targeting radiation-induced fibrosis: Exploring promising therapeutic avenues and innovative assessment methods [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6383.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".