Evidence map›Paper›PMID 31234954›Full record

ArticleBMB reports2020

Expression and in vitro function of anti-cancer mAbs in transgenic Arabidopsis thaliana.

Ilchan Song, Yang Joo Kang, Dae Heon Kim, Mi Kyung Kim, Kisung Ko

Open access · goldAbstract read
In one paragraph

Article in BMB reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 10 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

5 authors at 2 institutions in 1 country.

Ilchan SongDepartments of Pathology and Medicine, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Yang Joo KangDepartments of Medicine, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Dae Heon KimDepartment of Biology, Sunchon National University, Sunchon 57922, Korea.
Mi Kyung KimDepartments of Pathology, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Kisung KoDepartments of Medicine, College of Medicine, Chung-Ang University, Seoul 06974, Korea.
Chung-Ang University · KRSunchon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anti-colorectal cancer monoclonal antibody CO17-1A (mAb CO), which recognizes the tumor-associated antigen EpCAM, was expressed in transgenic Arabidopsis plants. PCR and western blot analyses showed the insertion and expression of heavy chain (HC)/HC fused to the KDEL ER retention modif (HCK) and light chain (LC) of mAb CO and mAb CO with HCK (mAb COK) in Arabidopsis transformants. Both plantderived mAbP CO and mAbP COK were purified from a biomass of approximately 1,000 seedlings grown in a greenhouse. In sandwich ELISA, both mAbP CO showed a slightly higher binding affinity for the target, EpCAM, compared to mAbM CO. In cell ELISA, both mAbsP COs showed binding affinity to the human colorectal cancer cell line SW480. Furthermore, mAbM CO, mAbP CO, and mAbP COK exhibited dose and timedependent regression effects on SW480 cells in vitro. In summation, both mAbP CO and mAbP COK, expressed in Arabidopsis, recognized the target antigen EpCAM and showed anti-proliferative activity against human colorectal cancer cells. [BMB Reports 2020; 53(4): 229-233].

Indexed as

AnimalsAntibodies, MonoclonalAntigens, NeoplasmArabidopsisCell Line, TumorColonic NeoplasmsColorectal NeoplasmsEpithelial Cell Adhesion MoleculeHumansPlants, Genetically ModifiedProtein EngineeringAntibodies, MonoclonalAntigens, Neoplasmcarcinoma-associated antigen 17-1AEPCAM protein, humanEpithelial Cell Adhesion Molecule

Identifiers

PMID31234954
PMCPMC7196188
OpenAlexW2980329444

What OpenQuestion holds

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Registered trials

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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.