Assessment of therapeutic effect of CD20-targeted immunoliposome in primary central nervous system lymphoma
Bibliographic record
Abstract
Primary central nervous system lymphoma (PCNSL) is a form of extranodal non-Hodgkin's B-cell lymphoma limited to the CNS. The treatment of PCNSL is ineffective partly due to the blood-brain barrier (BBB) restriction of delivery of many drugs including anti-CD20 (Rituximab; RTX) which is a standard treatment for systemic B-cell lymphomas. In this study, liposome with tween-80 surface modification was fabricated and conjugated with RTX for enhancing BBB penetration to target lymphoma cells in the CNS. Physicochemical characterizations of Lip/RTX were performed and spherical shape liposomes with narrow size distribution were demonstrated by TEM. An average diameter of Lip/RTX was 168.57 ± 1.57 nm with the percentage of RTX conjugation at 90.94. Cell internalization monitored by flow cytometry confirmed that conjugation of RTX promoted liposome entry into Raji cells expressing CD20. Antitumor activity of Lip/RTX was comparable to free RTX indicating that RTX moieties on liposome remained their therapeutic function. In addition, Lip/RTX inhibited tumor aggressiveness by limiting cell migration and invasion. Systemic administration of Lip/RTX significantly prolonged survival of mice harboring intracranial lymphoma xenografts. Taken together, Lip/RTX presents a new potential treatment for patients with PCNSL.
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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 | 0.000 |
| 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".