Efficacy of Different Immunological Approaches Targeting CD22 for the Treatment of Relapsed or Refractory Acute Lymphoblastic Leukemia: A Research Protocol
Bibliographic record
Abstract
Introduction: Monoclonal antibodies (mAbs) have emerged as a promising immune-oncological approach to target cancer cells. mAbs have been seen to outperform traditional drug treatments in treating severe cancers despite their low relative cytotoxicity due to their high selectivity. CD22 is expressed in 60-90% of individuals with B-cell Acute Lymphoblastic Leukemia (B-ALL), and is rapidly internalized when bound to an antibody, making it an effective point of entry for cytotoxic agents. Epratuzumab is an anti-CD22 mAb, effective against B-ALL. Epratuzumab-SN-38 (Emab-SN-38) and Inotuzumab ozogamicin (InO) are promising anti-CD22 Antibody-Drug Conjugates (ADCs). Methods: Epratuzumab, Inotuzumab, and Emab-SN38 treatments will be evaluated in vitro and in vivo. B lymphocytes collected from a 30-35-year-old R/R ALL patient will be purified and expanded. A cell culture assay will evaluate the treatments. Cells will be engrafted into humanized mice. Mice will be assorted into four treatment groups: saline (control), Epratuzumab, Inotuzumab, and Emab-SN-38. Quantitative flow cytometric analysis will be used to assess treatment effectiveness. Complete Response will be determined as ≅ zero human leukemic cells, Partial Response as ≤5% cells, and Remission as >5% cells or with identifiable clinical signs. Mice will be followed for 6 months after the last dose of treatment to assess for relapse and survival rate. Results: It is expected that all three treatments will result in more significant results regarding tumour shrinkage and rate of cancer growth than saline. The ADCs are expected to perform better than unconjugated Epratuzumab. Relapse and Adverse Event rates are expected to be lowest in Epratuzumab-SN-38. Discussion: The comparison of the effectiveness of these treatments are expected to establish Emab-SN-38 as a potential treatment option and propel research into other cytotoxic agents which could be used in conjugation with Epratuzumab and other mAbs. Conclusion: ADCs combine the cytotoxicity of chemotherapy and the specificity of mAbs to treat R/R ALL. The ADCs are expected to outperform Epratuzumab in decreasing leukemic cell load given their potent targeted cytotoxicity. Emab-SN-38 is expected to be less toxic but as effective as Inotuzumab. These results could inform research on safer and more potent ADCs in treating R/R ALL via CD22.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".