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Abstract P038: Identification and functional evaluation of monoclonal antibodies specifically targeting human Carbonic Anhydrase IX

2022· article· en· W4205606019 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer Immunology Research · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme function and inhibition
Canadian institutionsSpinal Cord Injury BCNational Research Council Canada
Fundersnot available
KeywordsTumor hypoxiaMonoclonal antibodyCancer researchHypoxia (environmental)Carbonic anhydraseBiologyAntibodyChemistryBiochemistryRadiation therapyEnzymeMedicineImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Poor vascularization of solid tumors leads to inadequate nutrient and oxygen supplies which forces tumor cells to reprogram their metabolism. Consequently, the tumor cell's environment becomes acidic and hypoxic. This triggers signaling cascades involving e.g. heterodimeric hypoxia-inducible factor (HIF). Activation of this hypoxia-induced transcriptional program is crucial for the tumor cell to survive its hostile microenvironment and its ability to metastasize. One of the genes HIF upregulated is carbonic anhydrase (CA)-IX (CAIX, gene G250/MN-encoded transmembrane protein). CA-IX catalyzes carbon dioxide (CO2) thereby generating a proton (H+) and bicarbonate (HCO3−), the latter of which is transported back into the cell and utilized to help safeguard intracellular pH (pHi) stability. Except for the stomach and the gallbladder, CA-IX expression is negligible in normal tissues. In contrast, a broad range of tumors express high levels of CA-IX, where the protein can serve as a biomarker for the early stages of tumor development but also as tumor marker of hypoxia associated with resistance to chemotherapy and radiotherapy. Preclinical and clinical studies have shown that CA-IX is a promising therapeutic target for detection and therapy for several cancer types. To date only a limited number of ant-CAIX monoclonal antibodies (mAbs) have been available for clinical testing as therapeutic and imaging agents. In the current study, we generated and functionally categorized a panel of 51 mouse mAbs that specifically bind to human CA-IX. Characterization of the mAbs revealed that of the mAbs with the best biophysical characteristics, three (3) mAbs are suitable as an antibody-drug conjugate (ADC), two (2) mAbs inhibit the CA-IX enzyme activity, and one (1) mAb that is suitable for CA-IX imaging purposes. These preliminary data presented here could thus form the basis for the development of novel CA-IX targeted immunotherapies and diagnostic tools for the treatment of cancer. Citation Format: Anne E. G. Lenferink, Jason Baardsnes, Traian Sulea, Cunle Wu, Maurizio Acchione, Maria L. Jaramillo, Paul C. McDonald, Francois Benard, Shoukat Dedhar. Identification and functional evaluation of monoclonal antibodies specifically targeting human Carbonic Anhydrase IX [abstract]. In: Abstracts: AACR Virtual Special Conference: Tumor Immunology and Immunotherapy; 2021 Oct 5-6. Philadelphia (PA): AACR; Cancer Immunol Res 2022;10(1 Suppl):Abstract nr P038.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.096
GPT teacher head0.386
Teacher spread0.290 · 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