Circulating Cancer Cells and Their Clinical Applications
Bibliographic record
Abstract
Minimal residual cancer is defined as “the presence of tumor cells that are not detectable by the current routine diagnostic procedures used for tumor staging in cancer patients after surgical removal of the primary tumor.” Data from European and North American groups have demonstrated the prognostic impact of disseminated tumor cells (DTCs)9 in the bone marrow of breast cancer patients. Circulating tumor cell (CTC) detection and enumeration in peripheral blood have been examined in prospective multicenter studies of metastatic breast, colorectal, and prostate cancers and have been associated with decreased progression-free and overall survival. An increasing number of clinical research studies are validating these observations and extending them to other cancers and to earlier disease stages. CTCs are highly heterogeneous, and their molecular characterization is important, not only to confirm their malignant origin but also to follow immune-phenotypic changes with tumor progression and identify diagnostically and therapeutically relevant targets that will help stratify cancer patients for individualized therapies. The rarity of CTCs—and thus the very limited amount of available sample—presents a formidable analytical and technical challenge. Recent technical advances in CTC detection and characterization include reverse-transcription quantitative PCR (RT-qPCR) methods, image-based approaches, and microfilter and microchip devices. CTCs represent a promising new diagnostic field for advanced-stage patients in that the sensitive CTC-detection platforms allow monitoring of disease and treatment efficacy. The development of single-cell technologies might allow profiling of these cells for the purpose of adapting treatment regimens. CTC-detection and- characterization techniques hold promise for playing a role as a “liquid biopsy” that will allow physicians to follow cancer changes over time and to tailor treatment. Current research on CTCs is focusing on the identification of novel diagnostic and therapeutic biomarkers produced by these cells. CTCs are promising as novel tumor biomarkers because they are well-defined targets for understanding …
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".