Evidence map›Paper›PMID 41977126›Full record

ArticleInternational journal of molecular sciences2026

Characterization of the D8P1C1 Anti-ADAM17 Inhibitory Monoclonal Antibody and Generation of Its Bispecific T-Cell Engager Derivative.

Nayanendu Saha, Sang Gyu Lee, Elisa de Stanchina, Rachelle P Mendoza, Darren R Veach, Dimitar B Nikolov

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nayanendu SahaStructural Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Sang Gyu LeeDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Elisa de StanchinaAntitumor Assessment Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Rachelle P MendozaDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Darren R VeachDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0002-8201-622X
Dimitar B NikolovStructural Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0001-8774-5061

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

EGFR signaling, which requires ligand shedding by ADAM proteases, drives the progression of a variety of cancers, including breast, ovarian and lung. We previously reported the generation and characterization of a fully human, affinity-matured anti-ADAM17 monoclonal antibody, D8P1C1, which inhibits both the proliferation of an array of cancer cell lines in vitro as well as breast cancer growth in a mouse xenograft model. Here, we show that the mAb inhibits the shedding of EGFR ligands and EGFR phosphorylation in cancer cell lines, thus explaining its anti-tumor effects. In a xenograft model with a high-grade serous ovarian cancer (HGSOC) cell line, D8P1C1 showed only modest therapeutic effect, without any discernible toxicity. These results suggest that ovarian cancers are less susceptible than breast cancers to therapeutic targeting of ADAM17- or EGFR-dependent signaling. Radioimmuno PET imaging with

Indexed as

ADAM17 ProteinAntibodies, BispecificAntibodies, MonoclonalOvarian NeoplasmsT-LymphocytesAnimalsCell Line, TumorCell ProliferationErbB ReceptorsFemaleHumansMiceSignal TransductionXenograft Model Antitumor AssaysADAM17 ProteinADAM17 protein, humanAntibodies, BispecificAntibodies, MonoclonalErbB ReceptorsADAM17bispecific T-cell engagerEGFR signalinghigh-grade serous ovarian cancer

Identifiers

PMID41977126
PMCPMC13073511

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.