Evidence map›Paper›PMID 25878567›Full record

ArticleClinical proteomics2015

Proteomics profiling identify CAPS as a potential predictive marker of tamoxifen resistance in estrogen receptor positive breast cancer.

Henrik J Johansson, Betzabe C Sanchez, Jenny Forshed, Olle Stål, Helena Fohlin, Rolf Lewensohn, Per Hall, Jonas Bergh, Janne Lehtiö, Barbro K Linderholm

Abstract read
In one paragraph

Article in Clinical proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

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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

10 authors.

Henrik J JohanssonDepartment Oncology-Pathology, Cancer Proteomics Mass spectrometry, Science for Life Laboratory, Karolinska Institutet, SE-171 65 Stockholm, Sweden.
Betzabe C SanchezDepartment Oncology-Pathology, Cancer Proteomics Mass spectrometry, Science for Life Laboratory, Karolinska Institutet, SE-171 65 Stockholm, Sweden.
Jenny ForshedDepartment Oncology-Pathology, Cancer Proteomics Mass spectrometry, Science for Life Laboratory, Karolinska Institutet, SE-171 65 Stockholm, Sweden.
Olle StålDepartment of Clinical and Experimental Medicine, Faculty of Health Sciences, Linköping University, Linköping, Sweden.
Helena FohlinDepartment of Clinical and Experimental Medicine, Faculty of Health Sciences, Linköping University, Linköping, Sweden ; Regional cancer center Southeast Sweden, County Council of Östergötland, Linköping, Sweden.
Rolf LewensohnDepartment of Oncology, Radiumhemmet, Karolinska University Hospital, Stockholm, Sweden.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm, 17177 Sweden.
Jonas BerghDepartment Oncology-Pathology, Cancer Proteomics Mass spectrometry, Science for Life Laboratory, Karolinska Institutet, SE-171 65 Stockholm, Sweden.
Janne LehtiöDepartment Oncology-Pathology, Cancer Proteomics Mass spectrometry, Science for Life Laboratory, Karolinska Institutet, SE-171 65 Stockholm, Sweden.
Barbro K LinderholmDepartment Oncology-Pathology, Cancer Proteomics Mass spectrometry, Science for Life Laboratory, Karolinska Institutet, SE-171 65 Stockholm, Sweden ; Department of Oncology, Sahlgrenska Academy and University Hospital, SE-413 45 Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the success of tamoxifen since its introduction, about one-third of patients with estrogen (ER) and/or progesterone receptor (PgR) - positive breast cancer (BC) do not benefit from therapy. Here, we aim to identify molecular mechanisms and protein biomarkers involved in tamoxifen resistance.

resultsUsing iTRAQ and Immobilized pH gradient-isoelectric focusing (IPG-IEF) mass spectrometry based proteomics we compared tumors from 12 patients with early relapses (<2 years) and 12 responsive to therapy (relapse-free > 7 years). A panel of 13 proteins (TCEAL4, AZGP1, S100A10, ALDH6A1, AHNAK, FBP1, S100A4, HSP90AB1, PDXK, GFPT1, RAB21, MX1, CAPS) from the 3101 identified proteins, potentially separate relapse from non-relapse BC patients. The proteins in the panel are involved in processes such as calcium (Ca(2+)) signaling, metabolism, epithelial mesenchymal transition (EMT), metastasis and invasion. Validation of the highest expressed proteins in the relapse group identify high tumor levels of CAPS as predictive of tamoxifen response in a patient cohort receiving tamoxifen as only adjuvant therapy.

conclusionsThis data implicate CAPS in tamoxifen resistance and as a potential predictive marker.

Indexed as

CalcyphosineCAPSEndocrine resistanceEstrogen receptorMX1ProteomicsReceptor-positive breast cancer

Identifiers

PMID25878567
PMCPMC4389343

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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.