Evidence map›Paper›PMID 27448970›Full record

ArticleOncotarget2016

A novel anti-PSMA human scFv has the potential to be used as a diagnostic tool in prostate cancer.

Donghui Han, Jieheng Wu, Yueheng Han, Ming Wei, Sen Han, Ruihe Lin, Ziyong Sun, Fa Yang, Dian Jiao, Pin Xie and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  4. Dual-functional Anti-hPSMAApoptosis : an international journal on programmed cell death · 2025
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  16. Imaging of distant metastases of prostate cancer.Medical oncology (Northwood, London, England) · 2018
    Review
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  19. Article
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

15 authors at 3 institutions in 1 country.

Donghui HanDepartment of Urology, Xijing Hospital, Fourth Military Medical University, 710032 Xi'an, China.
Jieheng WuState Key Laboratory of Cancer Biology, Department of Immunology, Fourth Military Medical University, 710032 Xi'an, China.
Yueheng HanDepartment of Research & Development, OriMAbs Ltd. Science Center, Philadelphia, PA, 19104, USA.
Ming WeiDepartment of Urology, Tangdu Hospital, Fourth Military Medical University, 710038 Xi'an, China.
Sen HanDepartment of Research & Development, Hangzhou Immusource Biotechnology Company, Ltd., Hangzhou, 310010, China.
Ruihe LinDepartment of Research & Development, OriMAbs Ltd. Science Center, Philadelphia, PA, 19104, USA.
Ziyong SunInstitute of Molecular Medicine, Nanjing University, Nanjing, 210093, China.
Fa YangDepartment of Urology, Xijing Hospital, Fourth Military Medical University, 710032 Xi'an, China.
Dian JiaoDepartment of Urology, Tangdu Hospital, Fourth Military Medical University, 710038 Xi'an, China.
Pin XieDepartment of Urology, Xijing Hospital, Fourth Military Medical University, 710032 Xi'an, China.
Lingling ZhangState Key Laboratory of Cancer Biology, Department of Immunology, Fourth Military Medical University, 710032 Xi'an, China.
An-Gang YangState Key Laboratory of Cancer Biology, Department of Immunology, Fourth Military Medical University, 710032 Xi'an, China.
Aizhi ZhaoDepartment of Research & Development, OriMAbs Ltd. Science Center, Philadelphia, PA, 19104, USA.
Weihong WenState Key Laboratory of Cancer Biology, Department of Immunology, Fourth Military Medical University, 710032 Xi'an, China.
Weijun QinDepartment of Urology, Xijing Hospital, Fourth Military Medical University, 710032 Xi'an, China.
Air Force Medical University · CNXijing Hospital · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the most commonly diagnosed malignancy and the second leading cause of cancer related death in men. The early diagnosis and treatment of PCa are still challenging due to the lack of efficient tumor targeting agents in traditional managements. Prostate specific membrane antigen (PSMA) is highly expressed in PCa, while only has limited expression in other organs, providing an ideal target for the diagnosis and therapy of PCa. The antibody library technique has opened the avenue for the discovery of novel antibodies to be used in the diagnosis and therapy of cancer. In this paper, by screening a large yeast display naive human single chain antibody fragment (scFv) library, we obtained a high affinity scFv targeting PSMA, called gy1. The gy1 scFv was expressed in E.coli and purified via a C terminal 6His tag. The binding affinity of gy1 was shown to be at the nanomolar level and gy1 can specifically bind with PSMA positive cancer cells, and binding triggers its rapid internalization through the endosome-lysosome pathway. The specific targeting of gy1 to PSMA positive tumor tissues was also evaluated in vivo. We showed that the IRDye800CW labeled gy1 can efficiently target and specifically distribute in PSMA positive tumor tissues after being injected into xenograft nude mice. This study indicated that the novel antibody gy1 could be used as a great tool for the development of PSMA targeted imaging and therapy agents for PCa.

Indexed as

AnimalsAntigens, SurfaceCell Line, TumorDiagnostic ImagingGlutamate Carboxypeptidase IIHumansMaleMiceMice, Inbred BALB CMice, NudeProstatic NeoplasmsSingle-Chain AntibodiesXenograft Model Antitumor AssaysAntigens, SurfaceFOLH1 protein, humanGlutamate Carboxypeptidase IISingle-Chain Antibodiesdiagnostic imagingprostate cancerprostate specific membrane antigenPSMAsingle chain antibody fragment

Identifiers

PMID27448970
PMCPMC5312325
OpenAlexW2503928099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.