Evidence map›Paper›PMID 22813880›Full record

ArticleJournal of proteomics2012

An optimized isolation of biotinylated cell surface proteins reveals novel players in cancer metastasis.

Piia-Riitta Karhemo, Suvi Ravela, Marko Laakso, Ilja Ritamo, Olga Tatti, Selina Mäkinen, Steve Goodison, Ulf-Håkan Stenman, Erkki Hölttä, Sampsa Hautaniemi and 3 more

Abstract read
In one paragraph

Article in Journal of proteomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 51 citations in OpenAlex.

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  18. A Composite Gene Expression Signature Optimizes Prediction of Colorectal Cancer Metastasis and Outcome.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
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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

13 authors at 2 institutions in 1 country.

Piia-Riitta KarhemoResearch Programs Unit, Molecular Cancer Biology, Biomedicum Helsinki, University of Helsinki, Finland.
Suvi Ravela
Marko Laakso
Ilja Ritamo
Olga Tatti
Selina Mäkinen
Steve Goodison
Ulf-Håkan Stenman
Erkki Hölttä
Sampsa Hautaniemi
Leena Valmu
Kaisa Lehti
Pirjo Laakkonen
University of Helsinki · FIFinnish Red Cross · FI

Funding

Functional Analysis of metastasis-Associated ProteinsR01CA108597 · NCI · UNIVERSITY OF FLORIDA · PI GOODISON, STEVE · 2004 to 2008
$1.3M
NCI NIH HHS R01 CA108597
6 · The paper itself

Abstract

Details of metastasis, the deadliest aspect of cancer, are unclear. Cell surface proteins play central roles in adhesive contacts between the tumor cell and the stroma during metastasis. We optimized a fast, small-scale isolation of biotinylated cell surface proteins to reveal novel metastasis-associated players from an isogenic pair of human MDA-MB-435 cancer cells with opposite metastatic phenotypes. Isolated proteins were trypsin digested and analyzed using LC-MS/MS followed by quantitation with the Progenesis LC-MS software. Sixteen proteins displayed over twofold expression differences between the metastatic and non-metastatic cells. Interestingly, overexpression of most of them (14/16) in the metastatic cells indicates a gain of novel surface protein profile as compared to the non-metastatic ones. All five validated, differentially expressed proteins showed higher expression in the metastatic cells in culture, and four of these were further validated in vivo. Moreover, we analyzed expression of two of the identified proteins, CD109 and ITGA6 in 3-dimensional cultures of six melanoma cell lines. Both proteins marked the surface of cells derived from melanoma metastasis over cells derived from primary melanoma. The unbiased identification and validation of both known and novel metastasis-associated proteins indicate a reliable approach for the identification of differentially expressed surface proteins.

Indexed as

Gene Expression Regulation, NeoplasticBiotinylationCell Line, TumorHumansMelanomaMembrane ProteinsNeoplasm MetastasisNeoplasm ProteinsProteomicsMembrane ProteinsNeoplasm Proteins

Identifiers

PMID22813880
PMCPMC3508169
OpenAlexW2095144222

What OpenQuestion holds

Textmetadata
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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.