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Record W4379984869 · doi:10.1158/1538-7445.am2023-2657

Abstract 2657: Preclinical model to evaluate the safety and efficacy of PODO83: A monoclonal antibody against podocalyxin that targets tumor growth and metastasis

2023· article· en· W4379984869 on OpenAlexaff
Julyanne Brassard, Michael R. Hughes, P.M. Dean, Diana Canals Hernaez, Janella Schwab, Yasmine Lau, Calvin D. Roskelley, Kelly M. McNagny

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPodocalyxinCancer researchMonoclonal antibodyBiologyMetastasisEpitopePathologyCancerAntibodyImmunologyKidneyMedicineEndocrinologyPodocyte

Abstract

fetched live from OpenAlex

Abstract Podocalyxin (PODXL) is a highly glycosylated transmembrane sialomucin normally found on the apical free surface of mesothelial, vascular endothelial, luminal mammary epithelial cells, kidney podocytes and pluripotent and hematopoietic stem cells. We were the first to show that PODXL is upregulated on human cancers and an independent predictor of poor prognosis in breast and high-grade serous ovarian carcinoma (HGSOC). We also demonstrated that PODXL expression is crucial for primary tumor growth, local invasion, and experimental metastasis to distant organs. Subsequently, these results were extended to a wide range of other tumor types. We next developed a large series of high-affinity monoclonal antibodies (mAb) to human PODXL and evaluated these for therapeutic activity against the PODXL+ metastatic breast cancer cell line, MDA-MB-231, in xenografted NOD-SCID IL2Rγ-/- (NSG) mice. One of these, PODO83, potently attenuated primary tumor growth and formation of distal metastases. The PODO83 reactive epitope maps to the juxtamembrane stalk domain (non-glycosylated region) of the PODXL core protein. As a promising therapeutic it is imperative to perform toxicity studies and determine if PODO83 adversely affects the function of PODXL on normal tissues. Accordingly, we generated a transgenic mouse strain (C57Bl/6 congenic) replacing 4 of the 8 mouse PODXL-encoding exons with the orthologous human exons (including those encoding the PODO83 epitope). These mice were healthy and we confirmed by immunohistochemistry that they exhibit appropriate PODO83 immunoreactivity in all expected tissues (podocytes, endothelia, etc). Strikingly, administration of PODO83 in vivo at high doses (4 treatments of 5 mg/kg over 14 days) resulted in no overt signs of toxicity. To now fully assess the safety and efficacy profile of the PODO83 mAb in this preclinical humanized mouse model we have developed mouse metastatic tumor cell line expressing human PODXL and will evaluate the ability of PODO83 to inhibit tumor growth and metastasis while sparing normal tissues in vivo. The results from this study will help us advance PODO83 mAb as a safe and effective approach to treating the wide variety of cancer subtypes that express PODXL. Citation Format: Julyanne Brassard, Michael R. Hughes, Pamela Dean, Diana Canals Hernaez, Janella Schwab, Yasmine Lau, Calvin D. Roskelley, Kelly M. McNagny. Preclinical model to evaluate the safety and efficacy of PODO83: A monoclonal antibody against podocalyxin that targets tumor growth and metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2657.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.145
GPT teacher head0.449
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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