Abstract 3012: A highly potent selective CDK9 inhibitor OBP-004 reduces metastatic tumor burden in bone, brain, lung and lymph nodes and decreases growth of triple-negative breast cancer cells in bone
Bibliographic record
Abstract
Abstract CDK9 is a promising target in many cancers. Development of first generation CDK9 inhibitors has been stopped due to severe adverse effects, but next generation selective CDK9 inhibitors are considered safer and more effective. OBP-004 is a highly potent selective small-molecule inhibitor of CDK9 with favorable physicochemical properties, 17-20 h in vivo half-life and high tissue biodistribution in brain, lung, spleen and kidneys. Triple-negative breast cancer (TNBC) patients have limited treatment options together with high incidence of metastatic relapse. TNBC typically forms multi-organ metastases and has a high incidence of bone metastases. In this study, we demonstrate preclinical efficacy of OBP-004 on metastatic tumor burden, and more specifically on bone metastatic TNBC. For studying efficacy on metastatic disease, NMRI nude mice were inoculated intravenously with luciferase-labelled MV4-11 human acute monocytic leukemia cells. OBP-004 was given orally at a dose of 1.0 mg/kg three times a week (3-day on, 4-day off). The mice were randomized to groups based on body weight and bioluminescence imaging (BLI) signal at day 15, and tumor growth was monitored by BLI during the study. Treatment was started after the randomization at day 15 and continued until day 32. For studying efficacy on tumor growth in bone metastatic microenvironment in more detail, BALB/c mice were inoculated intratibially with aggressive luciferase-labelled 4T1 mouse TNBC cell line. OBP-004 was given orally at a dose of 0.8 mg/kg three times a week (Mon/Wed/Fri). The mice were randomized to groups based on body weight and BLI signal at day 4. Treatment was started after the randomization at day 4 and continued until day 21. During the study, tumor growth was monitored by BLI, cancer-induced bone changes by X-ray radiography, and bone pain by mechanical allodynia using Von Frey filaments. The 1.0 mg/kg dosing (3-day on, 4-day off) of OBP-004 in the MV4-11 study resulted in slight decrease of body weight without any clinical signs. The optimized dosing with 0.8 mg/kg (Mon/Wed/Fri) in the 4T1 study was well tolerated. In the MV4-11 model, OBP-004 showed strong decrease of bone, brain, lung and lymph node metastases. In the intratibial 4T1 model, OBP-004 decreased tumor growth in bone from day 10 forward, bone pain at day 14, and cancer-induced bone loss at day 21. We conclude that the highly potent selective CDK9 inhibitor OBP-004 reduces metastatic tumor growth in bone, brain, lung and lymph nodes and decreases metastatic growth of TNBC cells in bone microenvironment, bone pain and cancer-induced bone loss in an aggressive preclinical TNBC model. Citation Format: Tiina E. Kahkonen, Gergana Galabova, Ru Yang, Jie Wen, MIchael Thormann, Jussi M. Halleen. A highly potent selective CDK9 inhibitor OBP-004 reduces metastatic tumor burden in bone, brain, lung and lymph nodes and decreases growth of triple-negative breast cancer cells in bone. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3012.
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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) | 0.003 | 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".