Development and validation of a biology-based novel therapeutic agent targeting the LIN28/ <i>let-7</i> pathway in cancer.
Bibliographic record
Abstract
3114 Background: Currently, brain tumors that are diagnosed in infants and young children carry an exceptionally high risk for treatment resistance and toxicities. The LIN28 family of RNA-binding proteins regulate stem cell biology and pluripotency. In addition to embryonic development, they have also been implicated in oncogenesis through interaction with the tumor suppressor micro-RNA (miRNA), let-7 . In cancer, LIN28 expression leads to let-7 loss-of-function, oncogenic activation, and tumorigenesis. Importantly, LIN28 expression has been associated with stemness and subsequent tumor aggressiveness and poor survival in early childhood brain tumors. Thus, LIN28 may offer an effective therapeutic strategy to prevent relapse by specifically targeting cancer stem cells. In this study, we describe a novel therapeutic inhibitor of LIN28 in cancer. Methods: Using an in silico approach, we designed and synthesized a panel of novel compounds predicted to bind and inhibit the critical molecular interaction between LIN28 and let-7 . Cytotoxicity was evaluated by alamar blue viability assay in a panel of LIN28-positive cancer cell lines derived from atypical teratoid rhabdoid tumor (ATRT), embryonal tumor with multilayered rosettes (ETMR), and germ cell tumor. LIN28-negative cells were used as control. LIN28 protein expression and let-7 miRNA levels were determined by immunoblot and reverse transcription quantitative polymerase chain reaction (RT-qPCR), respectively. Self-renewal capacity was analyzed by sphere formation assay. Mice carrying xenografts were treated to investigate LIN28 inhibition in vivo . Results: Preliminary screening of small molecule inhibitors identified a lead compound, designated THNB-3, that induces cell death at micromolar concentrations in LIN28-positive cell lines established from various tumors, without affecting LIN28-negative controls. Treatment with THNB-3 increased the level of let-7 tumor suppressor, confirming effective inhibition of LIN28. In addition to cytotoxicity, THNB-3 significantly inhibited sphere formation in brain tumor cells, reducing self-renewal and multipotency of cancer stem cells. Lastly, the anticancer activity of THNB-3 was validated in vivo against LIN28-positive xenografts and the drug also demonstrated systemic tolerability in mice. Conclusions: Our studies provide the first evidence for an effective, targeted therapeutic agent against the LIN28/ let-7 pathway for the treatment of cancer in the future. THNB-3 selectively induces cytotoxicity in LIN28-positive cancers by restoring let-7 miRNA, confirming effective target modulation. Further, LIN28 inhibition by THNB-3 may reduce self-renewal and multipotency of cancer stem cells. Together, our preclinical data supports further development of THNB-3 for the treatment of high-risk LIN28-positive tumors.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".