Evidence map›Paper›PMID 22709790›Full record

ArticleClinical proteomics2012

Overexpression of ribosome binding protein 1 (RRBP1) in breast cancer.

Deepthi Telikicherla, Arivusudar Marimuthu, Manoj Kumar Kashyap, Y L Ramachandra, Sujatha Mohan, Juan Carlos Roa, Jagadeesha Maharudraiah, Akhilesh Pandey

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

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  6. Stabilization of RRBP1 mRNA via an mCellular and molecular life sciences : CMLS · 2024
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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

8 authors at 4 institutions in 4 countries.

Deepthi TelikicherlaInstitute of Bioinformatics, International Tech Park, Bangalore 560 066, India. jagadeesha@ibioinformatics.org.
Arivusudar Marimuthu
Manoj Kumar Kashyap
Y L Ramachandra
Sujatha Mohan
Juan Carlos Roa
Jagadeesha Maharudraiah
Akhilesh Pandey
Institute of Bioinformatics · INJohns Hopkins University · USKuvempu University · INUniversidad de La Frontera · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular events that lead to malignant transformation and subsequent metastasis of breast carcinoma include alterations in the cells at genome, transcriptome and proteome levels. In this study, we used publicly available gene expression databases to identify those candidate genes which are upregulated at the mRNA level in breast cancers but have not been systematically validated at the protein level. Based on an extensive literature search, we identified ribosome binding protein 1 (RRBP1) as a candidate that is upregulated at the mRNA level in five different studies but its protein expression had not been investigated. Immunohistochemical labeling of breast cancer tissue microarrays was carried out to determine the expression of RRBP1 in a large panel of breast cancers. We found that RRBP1 was overexpressed in 84% (177/219) of breast carcinoma cases tested. The subcellular localization of RRBP1 was mainly observed to be in the cytoplasm with intense staining in the perinuclear region. Our findings suggest that RRBP1 is an interesting molecule that can be further studied for its potential to serve as a breast cancer biomarker. This study also demonstrates how the integration of biological data from available resources in conjunction with systematic evaluation approaches can be successfully applied to clinical proteomics.

Identifiers

PMID22709790
PMCPMC3439379
OpenAlexW2096451139

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.