The Glycoprotein Growth Factor Progranulin Promotes Carcinogenesis and has Potential Value in Anti-cancer Therapy
Bibliographic record
Abstract
Progranulin (PGRN) is a secreted glycoprotein growth factor with tumorigenic roles in a variety of tumors including, among others, breast, ovarian, prostate, bladder, and liver cancer.In some patients, for example with breast, ovarian or liver cancers, high PGRN expression in tumors correlated with a worse outcome.Studies using cell lines and animal models provide evidence that PGRN promotes tumor cell proliferation, migration and survival, and induces drug resistance.Increasing or decreasing PGRN production enhances or inhibits respectively the growth of PGRN-sensitive tumors in vivo.PGRN activity is associated with p44/42 mitogen-activated protein kinase as well as phosphatidylinositol 3-kinases signaling pathways.In addition, PGRN may stimulate the formation of the tumor stroma.As an extracellular regulator of tumorgenesis, PGRN is a potential therapeutic target and biomarker of prognosis in the treatment of various cancers.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".