Evidence map›Paper›PMID 24158757›Full record

ArticleMedical oncology (Northwood, London, England)2013

Plasma proteomics analysis of tamoxifen resistance in breast cancer.

Keivan Majidzadeh-A, Javad Gharechahi

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 12 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

2 authors at 1 institution in 1 country.

Keivan Majidzadeh-ACancer Genetics Research Group, Breast Cancer Research Center (BCRC), ACECR, Tehran, Iran, kmajidzadeh@razi.tums.ac.ir.
Javad Gharechahi
Motamed Cancer Institute · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to ease accessibility, exploring plasma for candidate cancer biomarkers is of great interest to molecular biologist and physicians. In breast cancer, the development of tamoxifen resistance (TR) is among the major causes of recurrence and mortality. Therefore, the identification of novel biomarkers that are linked to TR is of great interest and the subject of intensive research. Here, we exploited the power of two-dimensional gel electrophoresis coupled with protein identification using tandem mass spectrometry to identify plasma proteome signatures associated with TR. Comparative proteomics analysis resulted in the identification of 15 statistically significant spots, which were up-/downregulated after tamoxifen therapy. MASCOT search of the mass spectrometry generated spectral data resulted in the identification of 9 proteins. Several differentially expressed proteins such as clusterin, serum amyloid A, serpin B4, and transthyretin are already known to be involved in cancer incidence and progression. The possible involvement of these candidate proteins in conferring TR and their potential usefulness as plasma biomarkers for predicting response to tamoxifen treatment has been discussed.

Indexed as

AdultAgedAmino Acid SequenceAnalysis of VarianceAntineoplastic AgentsBiomarkers, TumorBlood ProteinsBreast NeoplasmsDrug Resistance, NeoplasmElectrophoresis, Gel, Two-DimensionalFemaleHumansMiddle AgedMolecular Sequence DataNeoplasm ProteinsProspective StudiesAntineoplastic AgentsBiomarkers, TumorBlood ProteinsNeoplasm ProteinsProteomeTamoxifen

Identifiers

PMID24158757
OpenAlexW2025290797

What OpenQuestion holds

Textmetadata
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.