Evidence map›Paper›PMID 24615502›Full record

ArticleMolecular biology reports2014

Proteomic analysis of the effect of retinoic acids on the human breast cancer cell line MCF-7.

Abu Hena Mostafa Kamal, Baek Soo Han, Jong-Soon Choi, Kun Cho, Sun Young Kim, Won Kon Kim, Sang Chul Lee, Kwang-Hee Bae

Abstract read
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In one paragraph

Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Identification of Novel Prognostic Biomarkers for Colorectal Cancer by Bioinformatics Analysis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 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 2 institutions in 1 country.

Abu Hena Mostafa KamalResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 305-806, Korea.
Baek Soo Han
Jong-Soon Choi
Kun Cho
Sun Young Kim
Won Kon Kim
Sang Chul Lee
Kwang-Hee Bae
Korea Research Institute of Bioscience and Biotechnology · KRKorea Basic Science Institute · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common type of cancer in women in many areas and is increasing found in developing countries, where the majority of cases are diagnosed in late stages. Retinoic acids, through their associated nuclear receptors, exert intoxicating effects on cell growth, differentiation and apoptosis, and hold significant promise in relation to cancer therapy and chemoprevention. To enhance our understanding of the molecular mechanisms associated with retinoic acids in the breast cancer cell line MCF-7 in a time-dependent manner, we conducted a proteomic analysis of MCF-7 cells using the 2-DE couple with high-throughput mass spectrometry and bioinformatics tools. In the 2-DE patterns of MCF-7 cells treated with retinoic acid in a time-dependent manner, 35 protein spots were found to be differentially expressed. These were 17 increased, 4 decreased, and 14 unevenly expressed protein spots, all of which were analyzed using LTQ-FTICR mass spectrometry. Furthermore, five candidate proteins, up-regulated, were validated by western blotting. These were nucleoredoxin, latexin, aminomethyltransferase, translationally controlled one tumor protein, and rab GDP dissociation inhibitor β. These observations represent novel findings leading to new insight into the exact mechanism behind the effect of retinoic acids in MCF-7 cells while also identifying possible therapeutic targets for breast cancer diagnosis and novel drug development paths for the treatment of this disease.

Indexed as

ProteomeProteomicsApoptosisBreast NeoplasmsCell CycleCell ProliferationCell SurvivalComputational BiologyFemaleHumansMCF-7 CellsReproducibility of ResultsTretinoinProteomeTretinoin

Identifiers

PMID24615502
OpenAlexW2047480941

What OpenQuestion holds

Textmetadata
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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.