Evidence map›Paper›PMID 23161755›Full record

ArticleJournal of cellular biochemistry2013

Alterations in replication timing of cancer-related genes in malignant human breast cancer cells.

Andrew Fritz, Seema Sinha, Narasimharao Marella, Ronald Berezney

Abstract read
In one paragraph

Article in Journal of cellular biochemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Andrew FritzDepartment of Biological Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Seema Sinha
Narasimharao Marella
Ronald Berezney
University at Buffalo, State University of New York · US

Funding

Nuclear Matrix Structure and Genomic FunctionR01GM072131 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BEREZNEY, RONALD · 2004 to 2007
$1.5M
NIGMS NIH HHS GM 072131NIGMS NIH HHS R01 GM072131
6 · The paper itself

Abstract

The replication timing of nine genes commonly involved in cancer was investigated in the MCF10 cell lines for human breast cancer progression. Six of these nine genes are part of a constellation of tumor suppressor genes that play a major role in familial human breast cancer (TP53, ATM, PTEN, CHK2, BRCA1, and BRCA2). Three other genes are involved in a large number of human cancers including breast as either tumor suppressors (RB1 and RAD51) or as an oncogene (cMYC). Five of these nine genes (TP53, RAD51, ATM, PTEN, and cMYC) show significant differences (P < 0.05) in replication timing between MCF10A normal human breast cells and the corresponding malignant MCF10CA1a cells. These differences are specific to the malignant state of the MCF10CA1a cells since there were no significant differences in the replication timing of these genes between normal MCF10A cells and the non-malignant cancer MCF10AT1 cells. Microarray analysis further demonstrated that three of these five genes (TP53, RAD51, and cMYC) showed significant changes in gene expression (≥2-fold) between normal and malignant cells. Our findings demonstrate an alteration in the replication timing of a small subset of cancer-related genes in malignant breast cancer cells. These alterations partially correlate with the major transcriptional changes characteristic of the malignant state in these cells.

Indexed as

Breast NeoplasmsCell CycleCell Line, TumorDisease ProgressionDNA Replication TimingFemaleGene Expression Regulation, NeoplasticGenes, NeoplasmHumans

Identifiers

PMID23161755
PMCPMC5719338
OpenAlexW2057121826

What OpenQuestion holds

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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.