The Influence of Tumor Microenvironment on Tumor Progression; and Anticancer Therapies
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
All tumors are surrounded by complex environmental components including blood and lymph vessels; cellular components like fibroblasts, endothelial cells, immune cells; and non-cellular stromal cytokines, extracellular vesicles, and extracellular matrix. All of these along with the tumor cells constitute the tumor microenvironment (TME). Also the physical and chemical factors within this tumor microenvironment including extracellular pH, hypoxia, elevated interstitial fluid pressure, and fibrosis closely associate with the tumor progression at local site, its metastasis to remote areas of the body, immunosuppression, and drug resistance exhibited by the tumor. These cellular and extracellular components of TME primarily contribute to the process of carcinogenesis. This review focuses on multiple factors that alter the microenvironment to make it favorable for tumor growth at primary site and its metastasis to secondary sites. Also some of the natural products that may help to treat the tumor conditions via alteration of this microenvironment are mentioned which may provide new venues for development of newer drugs halting the progression of the tumors.
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 | 0.001 | 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) | 0.000 | 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