Evidence map›Paper›PMID 33125138›Full record

ArticleOncology reports2020

Anti‑EpCAM monoclonal antibody exerts antitumor activity against oral squamous cell carcinomas.

Mika K Kaneko, Tomokazu Ohishi, Junko Takei, Masato Sano, Takuro Nakamura, Hideki Hosono, Miyuki Yanaka, Teizo Asano, Yusuke Sayama, Hiroyuki Harada and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 31 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Mika K Kaneko *Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, Aoba‑ku, Sendai, Miyagi 980‑8575, Japan.
Tomokazu Ohishi *Institute of Microbial Chemistry (BIKAKEN), Numazu, Microbial Chemistry Research Foundation, Numazu‑shi, Shizuoka 410‑0301, Japan.
Junko Takei *Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, Aoba‑ku, Sendai, Miyagi 980‑8575, Japan.
Masato SanoDepartment of Antibody Drug Development, Tohoku University Graduate School of Medicine, Aoba‑ku, Sendai, Miyagi 980‑8575, Japan.
Takuro NakamuraDepartment of Antibody Drug Development, Tohoku University Graduate School of Medicine, Aoba‑ku, Sendai, Miyagi 980‑8575, Japan.
Hideki HosonoDepartment of Antibody Drug Development, Tohoku University Graduate School of Medicine, Aoba‑ku, Sendai, Miyagi 980‑8575, Japan.
Miyuki YanakaDepartment of Antibody Drug Development, Tohoku University Graduate School of Medicine, Aoba‑ku, Sendai, Miyagi 980‑8575, Japan.
Teizo AsanoDepartment of Antibody Drug Development, Tohoku University Graduate School of Medicine, Aoba‑ku, Sendai, Miyagi 980‑8575, Japan.
Yusuke SayamaDepartment of Antibody Drug Development, Tohoku University Graduate School of Medicine, Aoba‑ku, Sendai, Miyagi 980‑8575, Japan.
Hiroyuki HaradaDepartment of Oral and Maxillofacial Surgery, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo‑ku, Tokyo 113‑8510, Japan.
Manabu KawadaInstitute of Microbial Chemistry (BIKAKEN), Numazu, Microbial Chemistry Research Foundation, Numazu‑shi, Shizuoka 410‑0301, Japan.
Yukinari KatoDepartment of Antibody Drug Development, Tohoku University Graduate School of Medicine, Aoba‑ku, Sendai, Miyagi 980‑8575, Japan.
Tohoku University · JPMicrobial Chemistry Research Foundation · JPTokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epithelial cell adhesion molecule (EpCAM) is a calcium‑independent, homophilic, intercellular adhesion factor classified as a transmembrane glycoprotein. In addition to cell adhesion, EpCAM also contributes to cell signaling, differentiation, proliferation, and migration. EpCAM is an essential factor in the carcinogenesis of numerous human cancers. In the present study, we developed and validated an anti‑EpCAM monoclonal antibody (mAb), EpMab‑16 (IgG2a, kappa), by immunizing mice with EpCAM‑overexpressing CHO‑K1 cells. EpMab‑16 specifically reacted with endogenous EpCAM in oral squamous cell carcinoma (OSCC) cell lines in flow cytometry and Western blot analyses. It exhibited a plasma membrane‑like stain pattern in OSCC tissues upon immunohistochemical analysis. The KD for EpMab‑16 in SAS and HSC‑2 OSCC cells were assessed via flow cytometry at 1.1x10‑8 and 1.9x10‑8 M, respectively, suggesting moderate binding affinity of EpMab‑16 for EpCAM. We then assessed whether the EpMab‑16 induced antibody‑dependent cellular cytotoxicity (ADCC) and complement‑dependent cytotoxicity (CDC) against OSCC cell lines, and antitumor capacity in a murine xenograft model. In vitro experiments revealed strong ADCC and CDC inducement against OSCC cells treated with EpMab‑16. In vivo experiments on OSCC xenografts revealed that EpMab‑16 treatment significantly reduced tumor growth compared with the control mouse IgG. These data indicated that EpMab‑16 could be a promising treatment option for EpCAM‑expressing OSCCs.

Indexed as

AnimalsAntibodies, MonoclonalAntibody-Dependent Cell CytotoxicityAntineoplastic Agents, ImmunologicalApoptosisCell Line, TumorCHO CellsCricetulusEpithelial Cell Adhesion MoleculeFemaleHumansMiceMouth NeoplasmsSquamous Cell Carcinoma of Head and NeckXenograft Model Antitumor AssaysAntibodies, MonoclonalAntineoplastic Agents, ImmunologicalEPCAM protein, humanEpithelial Cell Adhesion MoleculeADCCantitumor activityCDCEpCAMmonoclonal antibodyoral cancer

Identifiers

PMID33125138
PMCPMC7640354
OpenAlexW3093373236

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.