Editorial: Revisiting seed and soil: A new approach to target hibernating dormant tumor cells
Bibliographic record
Abstract
Over hundred and thirty years have passed since Stephen Paget proposed his ‘Seed and Soil’ hypothesis about metastatic spreading (1). Since then, we have gained a better insight into the complexities of this multistep dispersal, but we are yet to fully comprehend the interactions governing the metastatic ecosystems to enable us to clinically prevent disease recurrence and, ultimately, cancer-related deaths.<br/><br/>Despite the high inefficiency of the metastatic process (2), cancer patients often suffer late recurrences following five to thirty years of undetectable disease (3, 4). This clinical observation is due to the presence of disseminated tumour cells (DTCs) that escape early from the primary tumour and spread to distant organs. Once there, DTCs may initially lie in a dormant or hibernating state to later reawaken, resulting in incurable metastatic outgrowths (5, 6). Dormant DTCs persist in a non-proliferative but reversible arrest, and consequently are resistant to conventional therapies directed towards rapidly dividing cancer cells. Moreover, they adapt to the metastatic niche they reside in, evading the immune system and reactivating tumour-initiating abilities when the opportunity arises (7, Weidenfeld and Barkan) (see (7) for concept definitions to avoid terminology misconceptions).<br/><br/>Therefore, metastatic dormancy represents a major clinical problem, as well as a novel window of opportunity to hamper metastatic relapse by interfering with the dormant cancer cell life cycle [key steps to control dormancy in (7)].<br/><br/>In this Research Topic, we revisited Paget’s hypothesis focusing on the dormant phase of metastatic progression. This 10-article collection provides an overview on recent advances in the dormancy field, including original research on organ-specific mechanisms driving the reawakening of DTCs; and comprehensive and exhaustive reviews about the microenvironmental regulation of dormancy and reawakening, cutting-edge technologies to study interactions with the metastatic microenvironment and innovative therapeutic strategies to clinically monitor and target this undetectable stage of metastatic disease.<br/><br/>
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.002 |
| 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".