Abstract C55: Investigating mechanisms of gastrointestinal polyposis and osteoblastic tumor formation induced by mesenchymal Lkb1 deficiency
Bibliographic record
Abstract
Abstract Lkb1 has emerged as an important tumor suppressor gene in both sporadic and hereditary cancer. Inactivating germline mutations in the LKB1 gene underlie familial Peutz-Jeghers Syndrome (PJS), a cancer-prone disorder characterized by predisposition to gastrointestinal polyposis. Targeted disruption of Lkb1 in mesenchymal smooth muscle cells was sufficient to recapitulate PJS-type polyposis in mice (Katajisto et al, 2008) and Lkb1 heterozygous mice develop osteoblastic tumors (Robinson et al, 2008). To investigate the mechanism(s) by which Lkb1 loss in mesenchymal tissues drives tumorigenesis, we deleted Lkb1 using two mesenchymal deletors (Fsp1-Cre and Twist2-Cre) expressed in mesenchymal progenitors. Heterozygous deletion of Lkb1 with either Fsp1-Cre (Lkb1flox/+;Fsp1-Cre) or Twist2-Cre (Lkb1flox/+;Twist2-Cre) results in both polyposis and osteoblastic tumor. Homozygous Lkb1 deletion using Fsp1-Cre (Lkb1flox/flox;Fsp1-Cre) leads to rapid polyposis and osteoblastic tumors with complete penetrance, indicating that complete loss of Lkb1 is advantageous for tumorigenesis. AMPK, a key substrate of Lkb1 connected to several other tumor suppressors, has been proposed to mediate Lkb1 tumor suppressive function. However, homozygous deletion of both AMPKα1 and AMPKα2 using Fsp1-Cre does not lead to tumorigenesis. These results implicate other Lkb1 substrate kinases in tumor suppression and suggest Lkb1 loss in a common progenitor underlies mesenchymal tumorigenesis. Katajisto P, et al., (2008) LKB1 signaling in mesenchymal cells required for suppression of gastrointestinal polyposis. Nat Genet, 40(4): p. 455-9 Robinson J, et al., (2008) Osteogenic tumours in Lkb1-deficient mice. Exp Mol Pathol, 85(3): p. 223-6 Citation Format: Kaisa Laajanen, Saara Ollila, Iris PL Wong, Kari Vaahtomeri, Gustavo Leone, Benoit Viollet, Makela P. Tomi. Investigating mechanisms of gastrointestinal polyposis and osteoblastic tumor formation induced by mesenchymal Lkb1 deficiency. [abstract]. In: Proceedings of the Third AACR International Conference on Frontiers in Basic Cancer Research; Sep 18-22, 2013; National Harbor, MD. Philadelphia (PA): AACR; Cancer Res 2013;73(19 Suppl):Abstract nr C55.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".