Abstract P038: Identification and functional evaluation of monoclonal antibodies specifically targeting human Carbonic Anhydrase IX
Bibliographic record
Abstract
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.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".