Evidence map›Paper›PMID 27853253›Full record

ArticleScientific reports2016

Generation of metastatic melanoma specific antibodies by affinity purification.

Birgit Schütz, Anita Koppensteiner, David Schörghofer, Katharina Kinslechner, Gerald Timelthaler, Robert Eferl, Markus Hengstschläger, Albert Missbichler, Harald Hundsberger, Mario Mikula

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Birgit SchützInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
Anita KoppensteinerMedical and Pharmaceutical Biotechnology, IMC University of Applied Sciences, Krems, Austria.
David SchörghoferInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
Katharina KinslechnerInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
Gerald TimelthalerInstitute of Cancer Research, Medical University of Vienna and Comprehensive Cancer Center (CCC), Vienna, Austria.
Robert EferlInstitute of Cancer Research, Medical University of Vienna and Comprehensive Cancer Center (CCC), Vienna, Austria.
Markus HengstschlägerInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
Albert MissbichlerSciotec Diagnostics Technologies GmbH, Tulln, Austria.
Harald HundsbergerMedical and Pharmaceutical Biotechnology, IMC University of Applied Sciences, Krems, Austria.
Mario MikulaInstitute of Medical Genetics, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATIMC University of Applied Sciences Krems · AT

Funding

Austrian Science Fund FWF P 25336
6 · The paper itself

Abstract

Melanoma is the most aggressive type of skin cancer and one of the most frequent tumours in young adults. Identification of primary tumours prone to develop metastasis is of paramount importance for further patient stratification. However, till today, no markers exist that are routinely used to predict melanoma progression. To ameliorate this problem, we generated antiserum directed against metastatic melanoma tissue lysate and applied a novel approach to purify the obtained serum via consecutive affinity chromatography steps. The established antibody, termed MHA-3, showed high reactivity against metastatic melanoma cell lines both in vitro and in vivo. We also tested MHA-3 on 227 melanoma patient samples and compared staining with the melanoma marker S100b. Importantly, MHA-3 was able to differentiate between metastatic and non-metastatic melanoma samples. By proteome analysis we identified 18 distinct antigens bound by MHA-3. Combined expression profiling of all identified proteins revealed a significant survival difference in melanoma patients. In conclusion, we developed a polyclonal antibody, which is able to detect metastatic melanoma on paraffin embedded sections. Hence, we propose that this antibody will represent a valuable additional tool for precise melanoma diagnosis.

Indexed as

Antibodies, NeoplasmChromatography, AffinityAnimalsAntigens, NeoplasmBiomarkers, TumorFemaleHumansMelanomaMiceMice, SCIDNeoplasm MetastasisRabbitsAntibodies, NeoplasmAntigens, NeoplasmBiomarkers, Tumor

Identifiers

PMID27853253
PMCPMC5112778
OpenAlexW2556722118

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.