Factors that influence the penetration of methotrexate through solid tissue
Bibliographic record
Abstract
Limited penetration of anticancer drugs through tumour tissue is an important factor that may limit therapeutic effects against solid tumours. Here we report studies of the penetration of radiolabelled methotrexate through multicellular layers (MCL) of murine EMT-6 and human MCF-7 cells grown on semiporous teflon membranes. The penetration of methotrexate was only about 25% of that through the teflon membrane alone after 6 hr. This was true for all methotrexate concentrations examined from 10 microM to 3 mM. The presence of folic acid at concentrations above 0.1 mM and of acidic conditions decreased the uptake of methotrexate into single cells and enhanced tissue penetration. Hypoxic conditions and the presence of folinic acid (leucovorin) had no effect on penetration or uptake of methotrexate. Our data provide evidence that tissue penetration of methotrexate is through the extracellular space, that its distribution in solid tissue may be limited and that it may be possible to improve its tissue penetration.
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 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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".