New Insight of Oncology: Cancer Concept without Tumor
Bibliographic record
Abstract
This article presents an analysis of current trends in the field of oncology, as an industry that was influenced by both scientific discoveries and the very order of civilization development as a whole. The key technological breakthroughs that have had an impact on oncology in the medium and long term perspective, as well as changes in the structure and approaches to the treatment of oncological diseases, which, in their turn, can determine the foresight of oncology development for the coming decades, are outlined. The TNM (tumor, lymph node, and metastasis) Classification of Malignant Tumors has been critically reassessed through the prism of the achievements in modern molecular biology. In this context, we are inevitably moving towards a new paradigm of oncological science "cancer without a tumor", where the tumor itself becomes a symptom of a systemic "oncological disease". The concept of "cancer without a tumor" has been proposed for the first time. This article is intended to engage professional communities in the oncology field in a discussion of understanding the transformation of the modern concept of oncological diseases.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".