Abstract LB182: Vaccination by liposomes and synthetic short peptide eradicated HPV-associated tumor
Bibliographic record
Abstract
Abstract Human papilloma virus (HPV)-16 is associated with cervical cancers and induces expression of the E6 and E7 oncogenes. 6 major histocompatibility complex (MHC) class I (MHC-I) epitopes were predicted to be immunogenic by sequencing a murine cell line that expresses E6/E7. A liposomal vaccine made of cobalt-porphyrin-phospholipid (CoPoP) and synthetic 9-mer epitopes appended with 3 histidine residues, resulting in rapid formation of stable peptide-liposome particles. Immunization with these predicted 6 peptides led to protection from tumor challenge on mice. Of the 6 peptides screened, only the previously identified E749-57 epitope has anti-tumor efficacy. The peptide-liposome particles that formed upon mixing E7HHH49-57 with CoPoP liposomes were stable in serum and avidly taken up by immune cells in vitro and rapidly released in lysosome. As a prophylactic vaccine, liposomal E7HHH49-57 vaccine protected mice from tumor challenge and re-challenge. As a therapeutic vaccine, immunization with the synthetic short peptide at a dose of 100 ng protected mice when admixed with CoPoP liposomes, whereas 200-fold higher peptide doses were ineffective with the Poly(I:C) adjuvant. CoPoP induced strong infiltrating CD8+ T response within the tumor microenvironment with improved functional profile. Vaccine monotherapy using nanogram dosing of the E7HHH49-57 peptide admixed with CoPoP reversed the growth of large established tumors, permanently eradicating subcutaneous tumors upwards of 100 mm3, and also completely eradicated lung tumors in a metastasis model. Citation Format: Xuedan He, Shiqi Zhou, Breandan Quinn, Dushyant Jahagirdar, Joaquin Ortega, Scott I. Abrams, Jonathan F. Lovell. Vaccination by liposomes and synthetic short peptide eradicated HPV-associated tumor [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB182.
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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) | 0.002 | 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".