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Record W1554495658

AR47A6.4.2, a naked monoclonal antibody targeting Trop-2, exhibits anti-tumor efficacy in multiple human cancer models as a monotherapeutic agent and demonstrates efficacy in combination therapy

2008· article· en· W1554495658 on OpenAlexaff
Amandine Truong, Ningping Feng, Daad Sayegh, Baldwin Mak, Susan Hahn, Daniel S. Pereira, David Young

Bibliographic record

VenueCancer Research · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsArius3D (Canada)
Fundersnot available
KeywordsPancreatic cancerCancerGemcitabineIn vivoColorectal cancerMedicineMonoclonal antibodyCancer researchAntibodyMetastasisProstate cancerBreast cancerGrowth inhibitionCombination therapyInternal medicineOncologyImmunologyApoptosisBiology
DOInot available

Abstract

fetched live from OpenAlex

3990 Trop-2 is a putative signal transduction molecule with widespread expression reported in a number of human carcinomas. Increasing evidence supports the role of Trop-2 in cancer, and over-expression studies suggest Trop-2 plays a role in cancer cell proliferation both in vitro and in vivo. In human colorectal cancer, high levels of Trop-2 have been associated with poor prognosis and a decrease in patient survival. Most recently, Trop-2 was suggested to play an important role in metastasis and high levels of Trop-2 were reported in metastatic tumors from breast cancer patients. Taken together, these findings suggest that targeting Trop-2 in cancer patients may be an effective therapeutic strategy. Using the ARIUS FunctionFIRST™ anti-cancer antibody discovery platform, AR47A6.4.2, a functional monoclonal antibody targeting human Trop-2, was identified.
 To examine the potential anti-tumor effect of this antibody in vivo, AR47A6.4.2 was administered in both prophylactic and established xenograft models of human solid tumors. Significant tumor growth inhibition was observed in models of breast, pancreatic, colon, and prostate cancers, concomitant with an increase in the survival of mice in the antibody treatment groups. The potency of AR47A6.4.2 was enhanced in an established model of pancreatic cancer when administered in combination with Gemcitabine®, a standard of care in pancreatic cancer. The combination therapy resulted in tumor regression during the treatment period, and 97 % tumor growth inhibition was observed 27 days after treatment ended.
 Mechanism of action studies have revealed that AR47A6.4.2 treatment diminishes MAPK phosphorylation in response to serum stimulation, suggesting that AR47A6.4.2 may exert some of its anti-tumor effects by inhibiting TROP-2 signaling and downstream phosphorylation of MAPK. In addition, in pancreatic cancer cell lines where AR47A6.4.2 has exhibited anti-tumor activity, AR47A6.4.2 was also shown to induce complement dependent cytotoxicity in vitro.
 In summary, AR47A6.4.2, the first naked therapeutic antibody targeting Trop-2, demonstrates significant anti-tumor in vivo efficacy in xenograft models of human pancreatic, colon, breast and prostate cancer, thereby confirming its potential therapeutic value in treating these solid tumor malignancies. In addition, this antibody can be combined with chemotherapy to enhance its anti-tumor activity. Towards the goal of bringing AR47A6.4.2 to the clinic, the cynomolgus monkey has been identified as a relevant pre-clinical toxicology model and a humanized version of AR47A6.4.2 has been generated with high affinity and potent anti-tumor activity.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.077
GPT teacher head0.390
Teacher spread0.313 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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