Evidence map›Paper›PMID 30405887›Full record

ArticleOncotarget2018

Generation and characterization of novel recombinant anti-hERG1 scFv antibodies for cancer molecular imaging.

Claudia Duranti, Laura Carraresi, Angelica Sette, Matteo Stefanini, Tiziano Lottini, Silvia Crescioli, Olivia Crociani, Luisa Iamele, Hugo De Jonge, Ermanno Gherardi and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  11. Targeting Ion Channels for Cancer Treatment: Current Progress and Future Challenges.Reviews of physiology, biochemistry and pharmacology · 2022
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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

11 authors at 3 institutions in 2 countries.

Claudia DurantiDepartment of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy.
Laura CarraresiDIVAL Toscana Srl, Sesto Fiorentino, Florence, Italy.
Angelica SetteDepartment of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy.
Matteo StefaniniDIVAL Toscana Srl, Sesto Fiorentino, Florence, Italy.
Tiziano LottiniDepartment of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy.
Silvia CrescioliDepartment of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy.
Olivia CrocianiDepartment of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy.
Luisa IameleDepartment of Molecular Medicine, University of Pavia, Pavia, Italy.
Hugo De JongeDepartment of Molecular Medicine, University of Pavia, Pavia, Italy.
Ermanno GherardiDepartment of Molecular Medicine, University of Pavia, Pavia, Italy.
Annarosa ArcangeliDepartment of Experimental and Clinical Medicine, Section of Internal Medicine, University of Florence, Florence, Italy.
University of Florence · ITUniversity of Pavia · ITKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern molecular imaging techniques have greatly improved tumor detection and post-treatment follow-up of cancer patients. In this context, antibody-based imaging is rapidly becoming the gold standard, since it combines the unique specificity of antibodies with the sensitivity of the different imaging technologies. The aim of this study was to generate and characterize antibodies in single chain Fragment variable (scFv) format directed to an emerging cancer biomarker, the

Indexed as

antibody engineeringcancer diagnosticshERG1 potassium channelsmolecular imaging

Identifiers

PMID30405887
PMCPMC6201861
OpenAlexW2896246871

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.