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Abstract A74: CAR-T cells harboring camelid single domain antibody as targeting agent to CEACAM6 antigen in pancreatic cancer

2017· article· en· W2594697025 on OpenAlexaff
Wah Y. Wong, Jamshid Tanha, Lakshmi Krishnan, Baomin Tian, Praveen Kumar, Kim Gaspar, Steve Demas, Sven Rohmann, Heman Chao

Bibliographic record

VenueCancer Immunology Research · 2017
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsNational Research Council CanadaHelix Biopharma (Canada)
Fundersnot available
KeywordsAntigenAntibodyCancer researchCytotoxic T cellBiologyCD28Chimeric antigen receptorT cellPancreatic cancerMolecular biologyImmunologyCancerImmune systemIn vitroCD8Biochemistry

Abstract

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Abstract Carcinoembryonic Antigen Related Cell Adhesion Molecule 6 (CEACAM6) is overexpressed in many types of human cancers such as breast, pancreatic, colorectal, and non-small-cell lung adenocarcinoma, and is an independent predictor of overall survival and disease free survival. Targeting this molecule by antibodies has slowed tumor progression in certain animal models. 2A3 is a camelid single domain antibody isolated from a whole cancer cell immunized llama library. The antibody binds specifically to the CEACAM6 antigen with high affinity (5nM as measured by SPR) and inhibits the proliferation of CEACAM6-expressing cancer cells in vitro. In this study, Chimeric-Antigen Receptor (CAR) T cells were engineered to target human CEACAM6 antigen by transducing the 2A3 antibody sequence to generate a modified chimeric CD28 signaling domain fused to chimeric CD3-zeta. Transduction efficiency and expression of 2A3 antibody were verified by flow cytometry. Co-incubation of CEACAM6-specific CAR-T (CEACAM6-CAR-T) cells with the CEACAM6-expressing pancreatic cell line BxPC-3 resulted in augmented cytotoxicity and cytokines (IL-2 and IFN-γ) release, suggesting potential anti-cancer activity of the CAR-T cells. Data from real-time cell analysis showed a significant increase in BxPC-3 cell cytotoxicity by CEACAM6-CAR-T cells, as compared to native T cells. However, CEACAM6-CAR-T cells showed much lower cytotoxic activity on negative control cell lines. The efficacy of CEACAM6-CAR-T cells in xenograft model was examined in vivo. BxPC-3 cells were inoculated subcutaneously into the hind flank of CIEA NOG mice. Three groups of mice then received intravenous injection of either PBS, native T cells, or CEACAM6-CAR-T cells, respectively, at day 1, 8, and 15. The data demonstrated very high efficacy of CEACAM6-CAR-T cells against the pancreatic cancer xenograft. CEACAM6-CAR-T cells significantly decreased the growth of the BxPC-3 xenograft as compared to that of native T cells (p-value=0.00025) and PBS (p-value=7.91x106). No toxic effect was observed based on body weight measurement. The results strongly support that CEACAM6-CAR-T cells can be used as an effective immunotherapy agent against CEACAM6-expressing cancers, and that camelid single domain antibodies can be easily adopted for CAR-T type therapies. Citation Format: Wah Yau Wong, Jamshid Tanha, Lakshmi Krishnan, Baomin Tian, Praveen Kumar, Kim Gaspar, Steve Demas, Sven Rohmann, Heman Chao. CAR-T cells harboring camelid single domain antibody as targeting agent to CEACAM6 antigen in pancreatic cancer. [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology and Immunotherapy; 2016 Oct 20-23; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2017;5(3 Suppl):Abstract nr A74.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.087
GPT teacher head0.442
Teacher spread0.355 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2017
Admission routes1
Has abstractyes

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