Abstract P1-05-05: Podocalyxin is a key regulator of breast cancer progression and metastasis.
Bibliographic record
Abstract
Abstract Podocalyxin (gene name Podxl) is a CD34-related sialomucin that has been shown to be important in regulating cell adhesion, migration, and polarity of hematopoietic progenitors and vascular endothelia. In breast cancer, we have shown that podocalyxin is overexpressed on a subset of node-negative tumors and its expression is strongly associated with poor overall survival. To determine whether podocalyxin directly regulates breast cancer cell behavior, we ectopically expressed podocalyxin in the human breast cancer cell line, MCF7, which expresses low levels of endogenous podocalyxin, is minimally invasive, and non-metastatic. Upon ectopic expression of podocalyxin, MCF7 “bulge apically”, produce apical and lateral microvilli, are less adhesive in vitro, and are delayed in targeting integrins to the basolateral surface. In contrast to MCF7, MDA-MB-231 is a basal-like breast cancer cell-line, which expresses high levels of endogenous podocalyxin, exhibits poorly polarized monolayer and mammosphere architecture in vitro and forms “metastatic” lung tumors in vivo. Using Podxl-targeted shRNA vectors we show that expression of podocalyxin is required for MDA-MB-231 cells to form distant metastases in a competitive in vivo assay utilizing humanized NOD/SCIDIL-2rγ−/− (NSG) mice. Previously, we observed that Podxl-deficient hematopoietic cells have impaired CXCR4-mediated chemotaxis to CXCL12, a known axis for tumor metastasis. Our current hypothesis is that podocalyxin regulates chemotaxis of tumor-initiating cells (TICs) to the CXCL12-rich tissues of the lungs, liver, and bone marrow. Up-regulation of podocalyxin on breast cancer cells may be a key event in tumor progression and likely enables these cells to sense chemokines and metastasize to peripheral sites. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P1-05-05.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".