CHARACTERIZATION OF A POPULATION OF TUMOUR-INITIATING CELLS WITH STEM-LIKE PROPERTIES IN HUMAN PROSTATE CANCER
Bibliographic record
Abstract
There is increasing evidence that prostate tumours are organized as a hierarchy with rare cancer stem cells (CSCs) implicated in initiating and maintaining the tumour. However, prospective prostate cancer stem cells (PCSCs) have not been thoroughly characterized from primary tissue specimens. Using the DU145 cell line, PCSCs have been propagated as non-adherent spheres in vitro. Approximately 1.25% of monolayer DU145 cells formed primary spheres while 26% of sphere cells formed subsequent spheres; a measure of PCSC self-renewal capacity. Spheres are enriched for cells expressing prostate basal and luminal cytokeratins and CSC markers (CD44, CD24, integrin alpha2beta1). PCSCs initiate xenograft tumours with enhanced capacity compared to monolayer cells. While epidermal growth factor (EGF) promoted PCSC propagation, basic fibroblast growth factor (bFGF) inhibited these events. Activation of EGF receptor (EGFR) signalling, following EGF treatment or expression of constitutively-active EGFR (EGFRvIII), increased sphere formation. Conversely, attenuation of EGFR signalling inhibited PCSC self-renewal. Consistent with the MEK-ERK pathway being a major target of EGFR signalling, the MEK-ERK pathway contributes to EGFR-facilitated PCSC propagation. Inhibition of ERK activation following MEK inhibitor treatment, expression of dominant-negative MEK1(K97M), or knockdown of ERK1 or ERK2 reduced PCSC propagation. Therefore, EGFR signalling promotes PCSC self-renewal by activating the MEK-ERK pathway. SOX2 is an essential transcription factor for stem cells, however, its role in PCSCs remains unclear. SOX2 protein is upregulated in PCSCs propagated as spheres, and its expression is regulated by EGFR signalling. EGFR activation, following EGF treatment or expression of constitutively-active EGFRvIII, increased SOX2 expression and PCSC self-renewal, while being attenuated by EGFR inhibitor treatment. Ectopic SOX2 expression enhanced EGF-induced PCSC self-renewal, while SOX2 knockdown renders PCSCs non-responsive to EGF-induced self-renewal and reduced their anchorage-independent growth. Furthermore, SOX2 expression is associated with the ability of PCSCs to form aggressive xenograft tumours. Collectively, SOX2 regulates EGFR-mediated PCSC self-renewal.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".