Circulating Tumor Cells: A Window to Understand Cancer Metastasis, Monitor and Fight Against Cancers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Metastases are the major culprits behind most cancer-related death and the central challenge to the eradication of a malignancy. Circulating tumor cells (CTCs) have the potential to help us understand how metastases form, to be utilized for cancer diagnosis and treatment selection and even to be targeted for cancer treatment. Many advances have been made regarding the isolation of these rare cells. However, several challenges and limitations in CTC analysis still exist. Multiple color immunofluorescence, genetic analysis (e.g. Fluorescence in situ Hybridization, microarray and next generation sequencing) and CTC culture will be effective tools to study CTCs and provide information on metastatic mechanism and clinical implication. In this review, we discuss the importance of CTC study in understanding cancer metastasis and their potential clinical application as biomarkers to predict cancer progression and treatment response, as well as the current situation for CTC isolation and 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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it