Evidence map›Paper›PMID 24567057›Full record

ArticleMedical oncology (Northwood, London, England)2014

Evaluation of histidine-rich glycoprotein tissue RNA and serum protein as novel markers for breast cancer.

Marwa Matboli, Sanaa Eissa, Hebatallah Said

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Observational
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  4. Article
  5. Article
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  7. Article
  8. Messenger RNA of the Histidine-Rich Glycoprotein in Breast Tumors.Doklady. Biochemistry and biophysics · 2018
    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

3 authors at 1 institution in 1 country.

Marwa MatboliOncology Diagnostic Unit, Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, P.O. Box 11381, Abbassia, Cairo, Egypt.
Sanaa Eissa
Hebatallah Said
Ain Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in the field of breast cancer (BC) biomarkers discovery facilitate diagnosis and treatment of BC in its pre-invasive state. While the genetic tissue markers are making significant advances in understanding the molecular basis of BC, serum has long been considered a rich source for biomarkers. So, integrated genomic and proteomic strategies play a huge role in the analytical validation of BC biomarkers and represent a true milestone in the areas of diagnostics and personalized medicine. This study included 60 cases (BC), 30 patients with fibroadenoma and 30 healthy women. Histidine-rich glycoprotein RNA (HRG) tissue expression was analyzed through gene expression-based outcome for breast cancer online algorithm (GOBO) bioinformatic analysis. To confirm our informatics analysis, HRG RNA was detected in breast tissue samples by RT-PCR, and HRG serum protein was estimated by ELISA. GOBO analysis revealed increased HRG RNA expression in all subtypes of BC with relative higher expression in basal subtype and grade 2. We confirmed these findings by HRG tissue RNA with 71.7% sensitivity and 93.3% specificity. HRG serum protein was 86.7% sensitivity and 80% specificity. HRG tissue RNA and serum protein could be considered as promising novel markers for prediction of BC prognosis.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAlgorithmsBiomarkers, TumorBreast NeoplasmsComputational BiologyFemaleFibroadenomaGene Expression ProfilingHistidine-Rich GlycoproteinHumansMiddle AgedPilot ProjectsPredictive Value of TestsPrognosisBiomarkers, TumorHistidine-Rich GlycoproteinProteins

Identifiers

PMID24567057
OpenAlexW1999113634

What OpenQuestion holds

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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.