Evidence map›Paper›PMID 29456844›Full record

ArticleBiomedical reports2018

An efficient biomarker panel for diagnosis of breast cancer using surface-enhanced laser desorption ionization time-of-flight mass spectrometry.

Turkan Yigitbasi, Gizem Calibasi-Kocal, Nihal Buyukuslu, Murat Kemal Atahan, Hakan Kupeli, Seyran Yigit, Ercument Tarcan, Yasemin Baskin

Abstract read
In one paragraph

Article in Biomedical reports, 2018. 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
–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

8 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

8 authors.

Turkan YigitbasiDepartment of Biochemistry, School of Medicine, Istanbul Medipol University, Istanbul 34810, Turkey.
Gizem Calibasi-KocalDepartment of Basic Oncology, Institute of Oncology, Dokuz Eylul University, Izmir 35340, Turkey.
Nihal BuyukusluDepartment of Nutrition and Dietetics, School of Health Sciences, Istanbul Medipol University, Istanbul 34810, Turkey.
Murat Kemal AtahanDepartment of General Surgery, Ataturk Training and Research Hospital, Katip Celebi University, Izmir 35360, Turkey.
Hakan KupeliDepartment of General Surgery, Ataturk Training and Research Hospital, Katip Celebi University, Izmir 35360, Turkey.
Seyran YigitDepartment of Pathology, Ataturk Training and Research Hospital, Katip Celebi University, Izmir 35360, Turkey.
Ercument TarcanDepartment of General Surgery, Ataturk Training and Research Hospital, Katip Celebi University, Izmir 35360, Turkey.
Yasemin BaskinDepartment of Basic Oncology, Institute of Oncology, Dokuz Eylul University, Izmir 35340, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the most frequently diagnosed cancer that affects women worldwide. Early detection of BC is important to improve survival rates and decrease mortality. The aim of the present study was to investigate serum biomarkers using surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) to distinguish patients with BC from the healthy population and patients with benign breast diseases (BBDs). A total of 62 patients with invasive ductal carcinoma, as confirmed by histopathology, and 47 non-cancerous individuals (NCIs) [16 healthy controls (HCs) and 31 patients with BBD] were enrolled in the present study. Serum protein profiles were determined by SELDI-TOF-MS using an immobilized metal affinity capture array. Serum from patients with BC were compared with that from the HC group using univariate and multivariate statistical analyses. A total of 118 clusters were generated from the individual serum. Univariate analysis revealed that 5 peaks were significantly downregulated (m/z 1,452, 2,670, 3,972, 5,354 and 5,523; P<0.001) and 4 were upregulated (m/z 6,850, 7,926, 8,115 and 8,143; P<0.001) in patients with BC compared with the HC group. A comparison of patients with BC and patients with BBD revealed an additional 9 protein peaks. Among these, 3 peaks (m/z 3,972, 5,336 and 11,185) were significantly downregulated and 6 peaks (m/z 4,062, 4,071, 4,609, 6,850, 8,115 and 8,133) were significantly upregulated. A total of 3 peaks [mass-to-change ratio (m/z) 3,972, 6,850 and 8,115 (BC2)] were common in both sets. The results of the present study suggest that a 4 protein peak set [m/z 3,972, 6,850 and 8,115 (BC2) and 8,949 (BC3)] could be used to distinguish patients with BC from NCI.

Indexed as

biomarkerbreast cancerearly diagnosisproteomicssurface-enhanced laser desorption ionization time-of-flight mass spectrometry

Identifiers

PMID29456844
PMCPMC5795628

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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.