Malignant tumors engender and employ cancer-specific organelles for self-protection and metastasis
Bibliographic record
Abstract
Abstract Cancer is a leading source of human lethality but current therapies have had limited efficacy in many cancers, which highlights an unmet need to assess the underlying mechanisms that govern cancer progression in vivo. Here we show that, upon malignant transformation, aggressive oncocells generate extracellular membranous compartments, cytocapsulas or cytocapsular tubes (CCTs), to enclose oncocells and engender cytocapsular oncocells in vivo . Cytocapsular oncocells are universally present in solid cancers and appear in hematologic cancers in the immune organs. Networks of cytocapsular tubes provide membrane-enclosed freeways for protected cancer metastasis. CCT networks interconnect cytocapsular tumors creating cytocapsular tumor network systems. Our findings suggest that cytocapsular oncocells drive membrane-encompassed cancer progression. Thus, interconnected cytocapsular oncocells, CCT networks and cytocapsular tumor network systems coordinate cancer progression in the integrated cytocapsular membrane systems.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".