Abstract B031: Alternate pain management strategies: targeting pancreatic cancer-related pain with Flavonoid
Bibliographic record
Abstract
Abstract Purpose For up to 90% of cancer patients, pain is a substantial symptom, contributing to morbidity and, possibly, mortality. In this study we sought to test the hypothesis that a flavonoid, derived from Cannabis, and previously shown to suppress cancer cell growth in vitro and tumor progression in mice in vivo, could also reduce the pain caused by pancreatic tumors in vivo. Methods A subcutaneous tumor in the dorsum of C57BL/6 mouse was generated by sub- dermal injection of KPC mouse pancreatic cancer cell line (ATCC). All the mice were video recorded to observe and analyze their spontaneous pain-related behaviors, including facial washing, dorsal hunching, dorsal skin twitch, licking of dorsal skin and overall locomotion around the cage. Two five minute recording sessions were analyzed by a blinded observer during times before the cancer cell injection (Baseline), after tumor growth, to about 8mm diameter (30d and 37d post-injection) and just before and then 24h after intra-tumor injection of the flavonoid ( Group A: FBL-03G, 1 nmole in 100µL) or Vehicle(100µL; Group B). Pain-related behavioral changes were averaged from the two recording sessions and analyzed from Baseline, just before FBL-03G and 24h after and compared between test compound-and vehicle injected groups (n=7 in each), using non-parametric statistics. Results Facial washing (events/5min) was: reduced to 87% of Baseline in tumor-bearing mice, then increased by 150% at 24h post-injection in Group A (FBL-03G); reduced to 65% of Baseline in tumor-bearing mice of Group B, then reduced a further 9% by Vehicle. Dorsal hunching, which events occur only after tumor growth (Baseline =0), was reduced at 24h by 62% in Group A but increased by 75% in Group B. Dorsal twitch, also absent before tumor growth, was reduced by 64% in Group A, but increased by 19% in Group B. Dorsal skin licking was reduced from Baseline by 33% in tumor-bearing mice of Group A, then increased by 76% after FBL-03g injection whereas licking, reduced by 22% by tumors in Group B and then by an additional 4% by vehicle (Group B). Tumors reduced locomotion by 58% in Group A, which was reversed by 32% after FBL-03g (Group A); vehicle injection resulted in a 38% reduction in locomotion (Group B). Thus, in 4 of the 5 pain-related behaviors from tumors quantitated symptoms were reversed by FBL-03G and oppositely affected, or not at all, by Vehicle. Conclusions These results indicate a substantial relief of spontaneous pain-related pain in this mouse model of pancreatic cancer. Such an acute effect occurs much more rapidly than the previously published in vitro suppression of KPC cell growth (assayed after 9-12d of treatment) or the reduction of tumor size (1-7 weeks) in vivo and suggest that the anti-hyperalgesic affect is due to mechanisms that do not involve reduction in tumor mass. The findings, using a single dose and a small number of mice, appear promising for further studies that examine a range of doses or FBL-03G and its actions in intra-pancreatic tumors. Citation Format: Sayeda Yasmin-Karim, Suheera Haq, Mike Makrigiorgos, Gary Strichartz, Geraud Richards, Natasha Rayman. Alternate pain management strategies: targeting pancreatic cancer-related pain with Flavonoid [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr B031.
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".