Circulating tumour cells in patients with urothelial tumours: Enrichment and in vitro culture
Bibliographic record
Abstract
INTRODUCTION: Results of clinical trials have demonstrated that circulating tumour cells (CTCs) are frequently detected in patients with urothelial tumours. The monitoring of CTCs has the potential to improve therapeutic management at an early stage and also to identify patients with increased risk of tumour progression or recurrence before the onset of clinically detected metastasis. In this study, we report a new effectively simplified methodology for a separation and in vitro culturing of viable CTCs from peripheral blood. METHOD: We include patients diagnosed with 3 types of urothelial tumours (prostate cancer, urinary bladder cancer, and kidney cancer). A size-based separation method for viable CTC - enrichment from unclothed peripheral blood has been introduced (MetaCell, Ostrava, Czech Republic). The enriched CTCs fraction was cultured directly on the separation membrane, or transferred from the membrane and cultured on any plastic surface or a microscopic slide. RESULTS: We report a successful application of a CTCs isolation procedure in patients with urothelial cancers. The CTCs captured on the membrane are enriched with a remarkable proliferation potential. This has enabled us to set up in vitro cell cultures from the viable CTCs unaffected by any fixation buffers, antibodies or lysing solutions. Next, the CTCs were cultured in vitro for a minimum of 10 to 14 days to enable further downstream analysis (e.g., immunohistochemistry). CONCLUSION: We demonstrated an efficient CTCs capture platform, based on a cell size separation principle. Furthermore, we report an ability to culture the enriched cells - a critical requirement for post-isolation cellular analysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 |
| 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".